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ORCID29th KDD 2023: Long Beach, CA, USA
- Ambuj K. Singh, Yizhou Sun, Leman Akoglu, Dimitrios Gunopulos, Xifeng Yan, Ravi Kumar, Fatma Ozcan, Jieping Ye:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023. ACM 2023
Research Track Full Papers
- Florian Adriaens
, Honglian Wang, Aristides Gionis:
Minimizing Hitting Time between Disparate Groups with Shortcut Edges. 1-10 - Rishi Advani, Paolo Papotti, Abolfazl Asudeh:
Maximizing Neutrality in News Ordering. 11-24 - Amine Allouah, Christian Kroer, Xuan Zhang, Vashist Avadhanula, Nona Bohanon, Anil Dania, Caner Gocmen, Sergey Pupyrev, Parikshit Shah, Nicolás Stier Moses, Ken Rodríguez Taarup:
Fair Allocation Over Time, with Applications to Content Moderation. 25-35 - Mario Almagro, Emilio J. Almazán, Diego Ortego, David Jiménez:
LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias. 36-46 - Amel Awadelkarim, Arjun Seshadri, Itai Ashlagi, Irene Lo, Johan Ugander:
Rank-heterogeneous Preference Models for School Choice. 47-56 - Jiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Bing Yin, Yangqiu Song:
Knowledge Graph Reasoning over Entities and Numerical Values. 57-68 - Ergute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li:
Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting. 69-79 - Anna Beer, Andrew Draganov, Ellen Hohma, Philipp Jahn, Christian M. M. Frey, Ira Assent:
Connecting the Dots - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering. 80-92 - Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi:
Sketch-Based Anomaly Detection in Streaming Graphs. 93-104 - Adam Breuer, Nazanin Khosravani Tehrani, Michael Tingley, Bradford Cottel:
Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers. 105-116 - Fanchen Bu, Kijung Shin:
On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms. 117-129 - Donghong Cai, Junru Chen, Yang Yang, Teng Liu, Yafeng Li:
MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals. 130-141 - Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Zhang, Chunping Wang, Lei Chen, Yang Yang:
When to Pre-Train Graph Neural Networks? From Data Generation Perspective! 142-153 - Zeyu Cao, Zhipeng Liang, Bingzhe Wu, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao:
Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation. 154-166 - Chengliang Chai, Jiayi Wang, Nan Tang, Ye Yuan, Jiabin Liu, Yuhao Deng, Guoren Wang:
Efficient Coreset Selection with Cluster-based Methods. 167-178 - Deepayan Chakrabarti:
SURE: Robust, Explainable, and Fair Classification without Sensitive Attributes. 179-189 - Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister:
Data-Efficient and Interpretable Tabular Anomaly Detection. 190-201 - Jiadong Chen, Yang Luo, Xiuqi Huang, Fuxin Jiang, Yangguang Shi, Tieying Zhang, Xiaofeng Gao:
IPOC: An Adaptive Interval Prediction Model based on Online Chasing and Conformal Inference for Large-Scale Systems. 202-212 - Jiayi Chen, Aidong Zhang:
On Hierarchical Disentanglement of Interactive Behaviors for Multimodal Spatiotemporal Data with Incompleteness. 213-225 - Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu, Yongyi Mao:
Open-Set Semi-Supervised Text Classification with Latent Outlier Softening. 226-236 - Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song:
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. 237-249 - Yixin Chen, Alan Kuhnle:
Approximation Algorithms for Size-Constrained Non-Monotone Submodular Maximization in Deterministic Linear Time. 250-261 - Zhen Chen, Xingzhi Guo, Baojian Zhou, Deqing Yang, Steven Skiena:
Accelerating Personalized PageRank Vector Computation. 262-273 - Zhijun Chen, Hailong Sun, Wanhao Zhang, Chunyi Xu, Qianren Mao, Pengpeng Chen:
Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler. 274-285 - Hung-Yun Chiang, Yi-Syuan Chen, Yun-Zhu Song, Hong-Han Shuai, Jason S. Chang:
Shilling Black-box Review-based Recommender Systems through Fake Review Generation. 286-297 - Minyoung Choe, Sunwoo Kim, Jaemin Yoo, Kijung Shin:
Classification of Edge-dependent Labels of Nodes in Hypergraphs. 298-309 - Chanyoung Chung, Jaejun Lee, Joyce Jiyoung Whang:
Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers. 310-322 - Corinna Coupette, Stefan Neumann, Aristides Gionis:
Reducing Exposure to Harmful Content via Graph Rewiring. 323-334 - Guanyu Cui, Zhewei Wei:
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem. 335-347 - Joscha Cüppers, Jilles Vreeken:
Below the Surface: Summarizing Event Sequences with Generalized Sequential Patterns. 348-357 - Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma:
Deep Encoders with Auxiliary Parameters for Extreme Classification. 358-367 - Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang:
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. 368-379 - Shitong Dai, Jiongnan Liu, Zhicheng Dou, Haonan Wang, Lin Liu, Bo Long, Ji-Rong Wen:
Contrastive Learning for User Sequence Representation in Personalized Product Search. 380-389 - Pengtao Dang, Haiqi Zhu, Tingbo Guo, Changlin Wan, Tong Zhao, Paul Salama, Yijie Wang, Sha Cao, Chi Zhang:
Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation. 390-401 - Trisha Das, Zifeng Wang, Jimeng Sun:
TWIN: Personalized Clinical Trial Digital Twin Generation. 402-413 - Haoran Deng, Yang Yang, Jiahe Li, Haoyang Cai, Shiliang Pu, Weihao Jiang:
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds. 414-425 - Hongyuan Dong, Weinan Zhang, Wanxiang Che:
MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification. 426-436 - Peiran Dong, Song Guo, Junxiao Wang:
Investigating Trojan Attacks on Pre-trained Language Model-powered Database Middleware. 437-447 - Wenying Duan, Xiaoxi He, Zimu Zhou, Lothar Thiele, Hong Rao:
Localised Adaptive Spatial-Temporal Graph Neural Network. 448-458 - Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam:
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting. 459-469 - Gabriel Franco, Mark Crovella, Giovanni Comarela:
Dependence and Model Selection in LLP: The Problem of Variants. 470-481 - Chaofan Fu, Guanjie Zheng, Chao Huang, Yanwei Yu, Junyu Dong:
Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling. 482-494 - Tingchen Fu, Xueliang Zhao, Rui Yan:
Delving into Global Dialogue Structures: Structure Planning Augmented Response Selection for Multi-turn Conversations. 495-505 - Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu:
Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design. 506-517 - Haoyu Geng, Chao Chen, Yixuan He, Gang Zeng, Zhaobing Han, Hua Chai, Junchi Yan:
Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations. 518-530 - Haoyu Geng, Runzhong Wang, Fei Wu, Junchi Yan:
GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction. 531-543 - Matt Gorbett, Hossein Shirazi, Indrakshi Ray:
Sparse Binary Transformers for Multivariate Time Series Modeling. 544-556 - Jiaqi Gu, Guosheng Yin:
3D-Polishing for Triangular Mesh Compression of Point Cloud Data. 557-566 - Siyi Gu, Yifei Zhang, Yuyang Gao, Xiaofeng Yang, Liang Zhao:
ESSA: Explanation Iterative Supervision via Saliency-guided Data Augmentation. 567-576 - Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav:
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations. 577-589 - Jiarui Guo, Yisen Hong, Yuhan Wu, Yunfei Liu, Tong Yang, Bin Cui:
SketchPolymer: Estimate Per-item Tail Quantile Using One Sketch. 590-601 - Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang:
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering. 602-613 - Yuhe Guo, Zhewei Wei:
Clenshaw Graph Neural Networks. 614-625 - Yuxiang Guo, Lu Chen, Zhengjie Zhou, Baihua Zheng, Ziquan Fang, Zhikun Zhang, Yuren Mao, Yunjun Gao:
CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution. 626-637 - Yuxin Guo, Cheng Yang, Yuluo Chen, Jixi Liu, Chuan Shi, Junping Du:
A Data-centric Framework to Endow Graph Neural Networks with Out-Of-Distribution Detection Ability. 638-648 - Mridul Gupta, Hariprasad Kodamana, Sayan Ranu:
Frigate: Frugal Spatio-temporal Forecasting on Road Networks. 649-660 - Kevin Han, Shuangning Li, Jialiang Mao, Han Wu:
Detecting Interference in Online Controlled Experiments with Increasing Allocation. 661-672 - Xiao Han, Xiangyu Zhao, Liang Zhang, Wanyu Wang:
Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning. 673-684 - Qianyue Hao, Wenzhen Huang, Tao Feng, Jian Yuan, Yong Li:
GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning. 685-697 - Jianfeng He, Xuchao Zhang, Shuo Lei, Abdulaziz Alhamadani, Fanglan Chen, Bei Xiao, Chang-Tien Lu:
CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning. 698-710 - Long He, Ho-Yin Mak:
Prescriptive PCA: Dimensionality Reduction for Two-stage Stochastic Optimization. 711-721 - Shuo He, Lei Feng, Guowu Yang:
Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples. 722-731 - Christine Herlihy, Aviva Prins, Aravind Srinivasan, John P. Dickerson:
Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting. 732-740 - Quentin Hillebrand, Vorapong Suppakitpaisarn, Tetsuo Shibuya:
Unbiased Locally Private Estimator for Polynomials of Laplacian Variables. 741-751 - Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann:
Graph Neural Processes for Spatio-Temporal Extrapolation. 752-763 - Mingzhi Hu, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo:
ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM. 764-774 - Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, Shangsong Liang:
Leveraging Relational Graph Neural Network for Transductive Model Ensemble. 775-787 - Shaoyuan Huang, Zheng Wang, Heng Zhang, Xiaofei Wang, Cheng Zhang, Wenyu Wang:
One for All: Unified Workload Prediction for Dynamic Multi-tenant Edge Cloud Platforms. 788-797 - Zijie Huang, Yizhou Sun, Wei Wang:
Generalizing Graph ODE for Learning Complex System Dynamics across Environments. 798-809 - Md. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian:
The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles. 810-821 - Alexandra Iacob, Bogdan Cautis, Silviu Maniu:
Sequential Learning Algorithms for Contextual Model-Free Influence Maximization. 822-831 - Shibal Ibrahim, Wenyu Chen, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder:
COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search. 832-844 - Tsuyoshi Idé, Naoki Abe:
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution. 845-856 - Makoto Imamura, Takaaki Nakamura:
Parameter-free Spikelet: Discovering Different Length and Warped Time Series Motifs using an Adaptive Time Series Representation. 857-866 - Yeonjun In, Kanghoon Yoon, Chanyoung Park:
Similarity Preserving Adversarial Graph Contrastive Learning. 867-878 - Jun-Gi Jang, Jeongyoung Lee, Yong-chan Park, U Kang:
Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors - Algorithm and Application. 879-890 - Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami:
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting. 891-900 - Sheo Yon Jhin, Jaehoon Lee, Noseong Park:
Precursor-of-Anomaly Detection for Irregular Time Series. 917-929 - Shuo Ji, Xiaodong Lu, Mingzhe Liu, Leilei Sun, Chuanren Liu, Bowen Du, Hui Xiong:
Community-based Dynamic Graph Learning for Popularity Prediction. 930-940 - Ran Jia, Haoming Guo, Xiaoyuan Jin, Chao Yan, Lun Du, Xiaojun Ma, Tamara Stankovic, Marko Lozajic, Goran Zoranovic, Igor Ilic, Shi Han, Dongmei Zhang:
GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network. 941-950 - Yaning Jia, Dongmian Zou, Hongfei Wang, Hai Jin:
Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural Networks. 951-963 - Yuheng Jia, Jiahao Jiang, Yongheng Wang:
Semantic Dissimilarity Guided Locality Preserving Projections for Partial Label Dimensionality Reduction. 964-973 - Yuheng Jia, Chongjie Si, Min-Ling Zhang:
Complementary Classifier Induced Partial Label Learning. 974-983 - Minqi Jiang, Songqiao Han, Hailiang Huang:
Anomaly Detection with Score Distribution Discrimination. 984-996 - Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun:
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. 997-1009 - Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen:
FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. 1010-1019 - Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han:
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks. 1020-1031 - Yilun Jin, Kai Chen, Qiang Yang:
Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities. 1032-1043 - Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar:
Predicting Information Pathways Across Online Communities. 1044-1056 - Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting. 1057-1072 - Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang:
R-Mixup: Riemannian Mixup for Biological Networks. 1073-1085 - Gayeong Kim, Sookyung Kim, Ko Keun Kim, Suchan Park, Heesoo Jung, Hogun Park:
Exploiting Relation-aware Attribute Representation Learning in Knowledge Graph Embedding for Numerical Reasoning. 1086-1096 - Sang-Hong Kim, Ha-Myung Park:
Efficient Distributed Approximate k-Nearest Neighbor Graph Construction by Multiway Random Division Forest. 1097-1106 - Sein Kim, Namkyeong Lee, Donghyun Kim, Min-Chul Yang, Chanyoung Park:
Task Relation-aware Continual User Representation Learning. 1107-1119 - Sungwon Kim, Junseok Lee, Namkyeong Lee, Wonjoong Kim, Seungyoon Choi, Chanyoung Park:
Task-Equivariant Graph Few-shot Learning. 1120-1131 - Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin:
How Transitive Are Real-World Group Interactions? - Measurement and Reproduction. 1132-1143 - Taeho Kim, Juwon Yu, Won-Yong Shin, Hyunyoung Lee, Ji-Hui Im, Sang-Wook Kim:
LATTE: A Framework for Learning Item-Features to Make a Domain-Expert for Effective Conversational Recommendation. 1144-1153 - Haruka Kiyohara, Masatoshi Uehara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito:
Off-Policy Evaluation of Ranking Policies under Diverse User Behavior. 1154-1163 - Deniz Koyuncu, Alex Gittens, Bülent Yener, Moti Yung:
Deception by Omission: Using Adversarial Missingness to Poison Causal Structure Learning. 1164-1175 - Mayuresh Kunjir, Sanjay Chawla, Siddarth Chandrasekar, Devika Jay, Balaraman Ravindran:
Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference. 1176-1187 - Tian Lan, Ziyue Li, Zhishuai Li, Lei Bai, Man Li, Fugee Tsung, Wolfgang Ketter, Rui Zhao, Chen Zhang:
MM-DAG: Multi-task DAG Learning for Multi-modal Data - with Application for Traffic Congestion Analysis. 1188-1199 - Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park:
Shift-Robust Molecular Relational Learning with Causal Substructure. 1200-1212 - Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang:
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities. 1213-1222 - Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan:
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks. 1223-1234 - Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui:
Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation. 1235-1247 - Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley:
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. 1248-1257 - Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley:
Text Is All You Need: Learning Language Representations for Sequential Recommendation. 1258-1267 - Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang:
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. 1268-1279 - Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang:
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference. 1280-1290 - Ningyuan Li, Yunxuan Ma, Yang Zhao, Zhijian Duan, Yurong Chen, Zhilin Zhang, Jian Xu, Bo Zheng, Xiaotie Deng:
Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach. 1291-1302 - Ping Li, Xiaoyun Li:
OPORP: One Permutation + One Random Projection. 1303-1315 - Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong:
Multi-Temporal Relationship Inference in Urban Areas. 1316-1327 - Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai:
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification. 1328-1340 - Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai:
HomoGCL: Rethinking Homophily in Graph Contrastive Learning. 1341-1352 - Wuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen:
Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. 1353-1362 - Yi Li, Weiming Huang, Gao Cong, Hao Wang, Zheng Wang:
Urban Region Representation Learning with OpenStreetMap Building Footprints. 1363-1373 - Huawei Lin, Jun Woo Chung, Yingjie Lao, Weijie Zhao:
Machine Unlearning in Gradient Boosting Decision Trees. 1374-1383 - Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang:
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. 1384-1395 - Brian Liu, Rahul Mazumder:
Fire: An Optimization Approach for Fast Interpretable Rule Extraction. 1396-1405 - Chengchang Liu, Lesi Chen, Luo Luo, John C. S. Lui:
Communication Efficient Distributed Newton Method with Fast Convergence Rates. 1406-1416 - Fan Liu, Weijia Zhang, Hao Liu:
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training. 1417-1428 - Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua:
Discovering Dynamic Causal Space for DAG Structure Learning. 1429-1440 - Fei Liu, Xuegang Hu, Shuochen Liu, Chenyang Bu, Le Wu:
Meta Multi-agent Exercise Recommendation: A Game Application Perspective. 1441-1452 - Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang:
Semi-Supervised Graph Imbalanced Regression. 1453-1465 - Hua Liu, Haoyu Han, Wei Jin, Xiaorui Liu, Hui Liu:
Enhancing Graph Representations Learning with Decorrelated Propagation. 1466-1476 - Jiayu Liu, Zhenya Huang, Zhiyuan Ma, Qi Liu, Enhong Chen, Tianhuang Su, Haifeng Liu:
Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge. 1477-1488 - Mengyue Liu, Yun Lin, Jun Liu, Bohao Liu, Qinghua Zheng, Jin Song Dong:
B2-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning. 1489-1500 - Penghang Liu, Ahmet Erdem Sariyüce:
Using Motif Transitions for Temporal Graph Generation. 1501-1511 - Ruifeng Liu, Qu Liu, Tingjian Ge:
Fairness-Aware Continuous Predictions of Multiple Analytics Targets in Dynamic Networks. 1512-1523 - Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai:
Generative Flow Network for Listwise Recommendation. 1524-1534 - Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, Yuankai Zhang, Jie Han, Yixiong Zou:
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint. 1535-1547 - Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He:
FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. 1548-1558 - Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan:
Learning Strong Graph Neural Networks with Weak Information. 1559-1571 - Yucheng Liu, Zipeng Gao, Xiangyang Liu, Pengfei Luo, Yang Yang, Hui Xiong:
QTIAH-GNN: Quantity and Topology Imbalance-aware Heterogeneous Graph Neural Network for Bankruptcy Prediction. 1572-1582 - Pengfei Luo, Tong Xu, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen:
Multi-Grained Multimodal Interaction Network for Entity Linking. 1583-1594 - Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu:
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. 1595-1607 - Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed:
Augmenting Recurrent Graph Neural Networks with a Cache. 1608-1619 - Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li:
Learning for Counterfactual Fairness from Observational Data. 1620-1630 - Xiaoxiao Ma, Jia Wu, Jian Yang, Quan Z. Sheng:
Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping. 1631-1642 - Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua:
Context-aware Event Forecasting via Graph Disentanglement. 1643-1652 - Debabrata Mahapatra, Chaosheng Dong, Michinari Momma:
Querywise Fair Learning to Rank through Multi-Objective Optimization. 1653-1664 - Pranav Maneriker, Codi Burley, Srinivasan Parthasarathy:
Online Fairness Auditing through Iterative Refinement. 1665-1676 - Wuyang Mao, Chuanren Liu, Yundu Huang, Zhonglin Zu, M. Harshvardhan, Liang Wang, Bo Zheng:
End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising. 1677-1686 - Thomas M. McDonald, Lucas Maystre, Mounia Lalmas, Daniel Russo, Kamil Ciosek:
Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay. 1687-1697 - Ruijie Miao, Yiyao Zhang, Guanyu Qu, Kaicheng Yang, Tong Yang, Bin Cui:
Hyper-USS: Answering Subset Query Over Multi-Attribute Data Stream. 1698-1709 - Atsushi Miyauchi, Tianyi Chen, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis:
Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity. 1710-1721 - Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu:
Learning to Relate to Previous Turns in Conversational Search. 1722-1732 - Nicholas Monath, Manzil Zaheer, Andrew McCallum:
Online Level-wise Hierarchical Clustering. 1733-1745 - Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen:
Causal Inference via Style Transfer for Out-of-distribution Generalisation. 1746-1757 - Igor Nunes, Mike Heddes, Pere Vergés, Danny Abraham, Alexander V. Veidenbaum, Alex Nicolau, Tony Givargis:
DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication. 1758-1769 - Lutz Oettershagen, Nils M. Kriege, Petra Mutzel:
A Higher-Order Temporal H-Index for Evolving Networks. 1770-1782 - Xudong Pan, Mi Zhang, Yifan Yan, Yining Wang, Min Yang:
Cracking White-box DNN Watermarks via Invariant Neuron Transforms. 1783-1794 - Guansong Pang, Chunhua Shen, Huidong Jin, Anton van den Hengel:
Deep Weakly-supervised Anomaly Detection. 1795-1807 - Jin-Duk Park, Siqing Li, Xin Cao, Won-Yong Shin:
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation. 1808-1819 - Jinman Park, Kimathi Kaai, Saad Hossain, Norikatsu Sumi, Sirisha Rambhatla, Paul W. Fieguth:
Domain-Guided Spatio-Temporal Self-Attention for Egocentric 3D Pose Estimation. 1837-1849 - Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha:
FedDefender: Client-Side Attack-Tolerant Federated Learning. 1850-1861 - Shichao Pei, Ziyi Kou, Qiannan Zhang, Xiangliang Zhang:
Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation. 1862-1871 - Leonardo Pellegrina:
Efficient Centrality Maximization with Rademacher Averages. 1872-1884 - Peng Peng, Shengyi Ji, Zhen Tian, Hongbo Jiang, Weiguo Zheng, Xuecang Zhang:
Locality Sensitive Hashing for Optimizing Subgraph Query Processing in Parallel Computing Systems. 1885-1896 - Lorenzo Perini, Vincent Vercruyssen, Jesse Davis:
Learning from Positive and Unlabeled Multi-Instance Bags in Anomaly Detection. 1897-1906 - Sebastian Pineda-Arango, Josif Grabocka:
Deep Pipeline Embeddings for AutoML. 1907-1919 - Yunzhe Qi, Yikun Ban, Jingrui He:
Graph Neural Bandits. 1920-1931 - Wei Qian, Chenxu Zhao, Wei Le, Meiyi Ma, Mengdi Huai:
Towards Understanding and Enhancing Robustness of Deep Learning Models against Malicious Unlearning Attacks. 1932-1942 - Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen:
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning. 1943-1953 - Zhen Qin, Shuiguang Deng, Mingyu Zhao, Xueqiang Yan:
FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical Heterogeneity. 1954-1964 - Chenyang Qiu, Yingsheng Geng, Junrui Lu, Kaida Chen, Shitong Zhu, Ya Su, Guoshun Nan, Can Zhang, Junsong Fu, Qimei Cui, Xiaofeng Tao:
3D-IDS: Doubly Disentangled Dynamic Intrusion Detection. 1965-1977 - Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong:
Reconstructing Graph Diffusion History from a Single Snapshot. 1978-1988 - Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen:
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data. 1989-1998 - Md. Mahmudur Rahman, Sanjay Purushotham:
FedPseudo: Privacy-Preserving Pseudo Value-Based Deep Learning Models for Federated Survival Analysis. 1999-2009 - Huaqing Shao, Lanjun Wang, Junchi Yan:
Robustness Certification for Structured Prediction with General Inputs via Safe Region Modeling in the Semimetric Output Space. 2010-2022 - Kartik Sharma, Rakshit Trivedi, Rohit Sridhar, Srijan Kumar:
Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models. 2023-2035 - William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis:
CARL-G: Clustering-Accelerated Representation Learning on Graphs. 2036-2048 - Yao Su, Zhentian Qian, Lei Ma, Lifang He, Xiangnan Kong:
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data. 2049-2060 - Yunxiang Su, Wenxuan Ma, Shaoxu Song:
Learning Autoregressive Model in LSM-Tree based Store. 2061-2071 - Zhan Su, Zhicheng Dou, Yujia Zhou, Ziyuan Zhao, Ji-Rong Wen:
PSLOG: Pretraining with Search Logs for Document Ranking. 2072-2082 - Jianhui Sun, Sanchit Sinha, Aidong Zhang:
Enhance Diffusion to Improve Robust Generalization. 2083-2095 - Qiheng Sun, Xiang Li, Jiayao Zhang, Li Xiong, Weiran Liu, Jinfei Liu, Zhan Qin, Kui Ren:
ShapleyFL: Robust Federated Learning Based on Shapley Value. 2096-2108 - Shuo Sun, Xinrun Wang, Wanqi Xue, Xiaoxuan Lou, Bo An:
Mastering Stock Markets with Efficient Mixture of Diversified Trading Experts. 2109-2119 - Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-Task Prompting for Graph Neural Networks. 2120-2131 - Zequn Sun, Jiacheng Huang, Jinghao Lin, Xiaozhou Xu, Qijin Chen, Wei Hu:
Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs. 2132-2144 - Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi:
Causal Effect Estimation on Hierarchical Spatial Graph Data. 2145-2154 - Da Sun Handason Tam, Yang Liu, Huanle Xu, Siyue Xie, Wing Cheong Lau:
PERT-GNN: Latency Prediction for Microservice-based Cloud-Native Applications via Graph Neural Networks. 2155-2165 - Juntao Tan, Yongfeng Zhang:
ExplainableFold: Understanding AlphaFold Prediction with Explainable AI. 2166-2176 - Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu:
Virtual Node Tuning for Few-shot Node Classification. 2177-2188 - Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang:
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. 2189-2200 - Sijing Tu, Stefan Neumann, Aristides Gionis:
Adversaries with Limited Information in the Friedkin-Johnsen Model. 2201-2210 - Vy Vo, Trung Le, Van Nguyen, He Zhao, Edwin V. Bonilla, Gholamreza Haffari, Dinh Q. Phung:
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations. 2211-2222 - Binwu Wang, Yudong Zhang, Xu Wang, Pengkun Wang, Zhengyang Zhou, Lei Bai, Yang Wang:
Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction. 2223-2232 - Daixin Wang, Zhiqiang Zhang, Yeyu Zhao, Kai Huang, Yulin Kang, Jun Zhou:
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning. 2233-2242 - Danqing Wang, Zeyu Wen, Fei Ye, Lei Li, Hao Zhou:
Accelerating Antimicrobial Peptide Discovery with Latent Structure. 2243-2255 - Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew Margenot, Hanghang Tong:
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. 2256-2268 - Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen:
Incremental Causal Graph Learning for Online Root Cause Analysis. 2269-2278 - Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu:
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing. 2279-2289 - Haotian Wang, Kun Kuang, Haoang Chi, Longqi Yang, Mingyang Geng, Wanrong Huang, Wenjing Yang:
Treatment Effect Estimation with Adjustment Feature Selection. 2290-2301 - Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao:
LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. 2302-2313 - Haozhe Wang, Chao Du, Panyan Fang, Li He, Liang Wang, Bo Zheng:
Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning. 2314-2325 - Hewen Wang, Renchi Yang, Keke Huang, Xiaokui Xiao:
Efficient and Effective Edge-wise Graph Representation Learning. 2326-2336 - Huizhao Wang, Yao Fu, Tao Yu, Linghui Hu, Weihao Jiang, Shiliang Pu:
PROSE: Graph Structure Learning via Progressive Strategy. 2337-2348 - Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng:
Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective. 2349-2360 - Jingyuan Wang, Chen Yang, Xiaohan Jiang, Junjie Wu:
WHEN: A Wavelet-DTW Hybrid Attention Network for Heterogeneous Time Series Analysis. 2361-2373 - Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li:
Federated Few-shot Learning. 2374-2385 - Song Wang, Zhen Tan, Huan Liu, Jundong Li:
Contrastive Meta-Learning for Few-shot Node Classification. 2386-2397 - Xiaolei Wang, Kun Zhou, Xinyu Tang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen:
Improving Conversational Recommendation Systems via Counterfactual Data Simulation. 2398-2408 - Xu Wang, Hongbo Zhang, Pengkun Wang, Yudong Zhang, Binwu Wang, Zhengyang Zhou, Yang Wang:
An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series. 2409-2418 - Xu Wang, Huan Zhao, Wei-Wei Tu, Quanming Yao:
Automated 3D Pre-Training for Molecular Property Prediction. 2419-2430 - Xue Wang, Mike Mingcheng Wei, Tao Yao:
Efficient Sparse Linear Bandits under High Dimensional Data. 2431-2443 - Yangyang Wang, Xiao Zhang, Mingyi Li, Tian Lan, Huashan Chen, Hui Xiong, Xiuzhen Cheng, Dongxiao Yu:
Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity. 2444-2455 - Yifan Wang, Peijie Sun, Min Zhang, Qinglin Jia, Jingjie Li, Shaoping Ma:
Unbiased Delayed Feedback Label Correction for Conversion Rate Prediction. 2456-2466 - Yifeng Wang, Zhi Tu, Yiwen Xiang, Shiyuan Zhou, Xiyuan Chen, Bingxuan Li, Tianyi Zhang:
Rapid Image Labeling via Neuro-Symbolic Learning. 2467-2477 - Yunke Wang, Xiyu Wang, Anh-Dung Dinh, Bo Du, Charles Xu:
Learning to Schedule in Diffusion Probabilistic Models. 2478-2488 - Zhili Wang, Shimin Di, Lei Chen:
A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields. 2489-2501 - Zongwei Wang, Min Gao, Wentao Li, Junliang Yu, Linxin Guo, Hongzhi Yin:
Efficient Bi-Level Optimization for Recommendation Denoising. 2502-2511 - Chunyu Wei, Jian Liang, Di Liu, Zehui Dai, Mang Li, Fei Wang:
Meta Graph Learning for Long-tail Recommendation. 2512-2522 - Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu:
To Aggregate or Not? Learning with Separate Noisy Labels. 2523-2535 - Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran:
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes. 2536-2546 - Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li:
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. 2547-2558 - Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu:
Deep Bayesian Active Learning for Accelerating Stochastic Simulation. 2559-2569 - Huimin Wu, Wanli Shi, Chenkang Zhang, Bin Gu:
Self-Adaptive Perturbation Radii for Adversarial Training. 2570-2581 - Jiaying Wu, Bryan Hooi:
DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection. 2582-2593 - Jun Wu, Wenxuan Bao, Elizabeth A. Ainsworth, Jingrui He:
Personalized Federated Learning with Parameter Propagation. 2594-2605 - Kun Wu, Jie Shen, Yue Ning, Ting Wang, Wendy Hui Wang:
Certified Edge Unlearning for Graph Neural Networks. 2606-2617 - Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen:
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. 2618-2628 - Longfeng Wu, Bowen Lei, Dongkuan Xu, Dawei Zhou:
Towards Reliable Rare Category Analysis on Graphs via Individual Calibration. 2629-2638 - Qiang Wu, Mingyuan Li, Jun Shen, Linyuan Lü, Bo Du, Ke Zhang:
TransformerLight: A Novel Sequence Modeling Based Traffic Signaling Mechanism via Gated Transformer. 2639-2647 - Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang:
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. 2648-2659 - Yuhan Wu, Shiqi Jiang, Siyuan Dong, Zheng Zhong, Jiale Chen, Yutong Hu, Tong Yang, Steve Uhlig, Bin Cui:
MicroscopeSketch: Accurate Sliding Estimation Using Adaptive Zooming. 2660-2671 - Zhenbang Wu, Cao Xiao, Jimeng Sun:
MedLink: De-Identified Patient Health Record Linkage. 2672-2682 - Jinxiong Xia, Houfeng Wang:
A Sequence-to-Sequence Approach with Mixed Pointers to Topic Segmentation and Segment Labeling. 2683-2693 - Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li:
User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback. 2694-2704 - Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai:
Graph Contrastive Learning with Generative Adversarial Network. 2721-2730 - Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen:
A Causality Inspired Framework for Model Interpretation. 2731-2741 - Chunjing Xiao, Zehua Gou, Wenxin Tai, Kunpeng Zhang, Fan Zhou:
Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models. 2742-2751 - Congxi Xiao, Jingbo Zhou, Jizhou Huang, Tong Xu, Hui Xiong:
Spatial Heterophily Aware Graph Neural Networks. 2752-2763 - Teng Xiao, Zhengyu Chen, Suhang Wang:
Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective. 2764-2775 - Mingzhe Xing, Hangyu Mao, Shenglin Yin, Lichen Pan, Zhengchao Zhang, Zhen Xiao, Jieyi Long:
A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning. 2776-2788 - Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang:
Learning Behavior-oriented Knowledge Tracing. 2789-2800 - Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil K. Jain, Jiliang Tang:
How does the Memorization of Neural Networks Impact Adversarial Robust Models? 2801-2812 - Hui Xu, Liyao Xiang, Femke Huang, Yuting Weng, Ruijie Xu, Xinbing Wang, Chenghu Zhou:
Grace: Graph Self-Distillation and Completion to Mitigate Degree-Related Biases. 2813-2824 - Jiacheng Xu, Chao Chen, Fuxiang Zhang, Lei Yuan, Zongzhang Zhang, Yang Yu:
Internal Logical Induction for Pixel-Symbolic Reinforcement Learning. 2825-2837 - Yuchen Xu, Wenfei Wu, Bohan Zhao, Tong Yang, Yikai Zhao:
MimoSketch: A Framework to Mine Item Frequency on Multiple Nodes with Sketches. 2838-2849 - Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong:
Kernel Ridge Regression-Based Graph Dataset Distillation. 2850-2861 - Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong:
Node Classification Beyond Homophily: Towards a General Solution. 2862-2873 - Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An:
PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement. 2874-2884 - Guipeng Xv, Chen Lin, Wanxian Guan, Jinping Gou, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng:
E-commerce Search via Content Collaborative Graph Neural Network. 2885-2897 - Gang Yan, Hao Wang, Xu Yuan, Jian Li:
CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning. 2898-2907 - Bei Yang, Jie Gu, Ke Liu, Xiaoxiao Xu, Renjun Xu, Qinghui Sun, Hong Liu:
Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling. 2908-2917 - Chen Yang, Ziqiang Zhang, Bo Cao, Zheng Cui, Bin Hu, Tong Li, Daniel Zhuoyu Long, Jin Qi, Feng Wang, Ruohan Zhan:
Fragility Index: A New Approach for Binary Classification. 2918-2929 - Jia-Qi Yang, Yucheng Xu, Jia-Lei Shen, Ke-Bin Fan, De-Chuan Zhan, Yang Yang:
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics. 2930-2940 - Juncheng Yang, Chao Li, Zuchao Li, Wei Yu, Bo Du, Shijun Li:
MAPLE: Semi-Supervised Learning with Multi-Alignment and Pseudo-Learning. 2941-2952 - Kuo Yang, Zhengyang Zhou, Wei Sun, Pengkun Wang, Xu Wang, Yang Wang:
EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation. 2953-2964 - Menglin Yang, Min Zhou, Lujia Pan, Irwin King:
κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning. 2965-2977 - Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang:
Specify Robust Causal Representation from Mixed Observations. 2978-2987 - Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang:
Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation. 2988-2998 - Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
LightPath: Lightweight and Scalable Path Representation Learning. 2999-3010 - Yaoqing Yang, Ryan Theisen, Liam Hodgkinson, Joseph E. Gonzalez, Kannan Ramchandran, Charles H. Martin, Michael W. Mahoney:
Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing Data. 3011-3021 - Yazheng Yang, Zhou Zhao, Qi Liu:
MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer. 3022-3032 - Yiyuan Yang, Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun:
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection. 3033-3045 - Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang:
Knowledge Graph Self-Supervised Rationalization for Recommendation. 3046-3056 - Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang:
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. 3057-3069 - Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang:
Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information. 3070-3081 - Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu:
Web-based Long-term Spine Treatment Outcome Forecasting. 3082-3092 - Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma:
PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text. 3093-3104 - Xinyu Ye, Ge Yan, Junchi Yan:
VQNE: Variational Quantum Network Embedding with Application to Network Alignment. 3105-3115 - Lu Yi, Hanzhi Wang, Zhewei Wei:
Optimal Dynamic Subset Sampling: Theory and Applications. 3116-3127 - Jaemin Yoo, Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos:
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining. 3128-3139 - Raneen Younis, Zahra Ahmadi, Abdul Hakmeh, Marco Fisichella:
FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework. 3140-3150 - Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen:
Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction. 3151-3161 - Jianyong Yuan, Jiayi Zhang, Zinuo Cai, Junchi Yan:
Towards Variance Reduction for Reinforcement Learning of Industrial Decision-making Tasks: A Bi-Critic based Demand-Constraint Decoupling Approach. 3162-3172 - Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li:
Spatio-temporal Diffusion Point Processes. 3173-3184 - Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang:
Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. 3185-3194 - Chenkang Zhang, Wanli Shi, Lei Luo, Bin Gu:
Doubly Robust AUC Optimization against Noisy and Adversarial Samples. 3195-3205 - Delvin Ce Zhang, Rex Ying, Hady W. Lauw:
Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree. 3206-3216 - Fan Zhang, Qingyuan Linghu, Jiadong Xie, Kai Wang, Xuemin Lin, Wenjie Zhang:
Quantifying Node Importance over Network Structural Stability. 3217-3228 - Guangyi Zhang, Nikolaj Tatti, Aristides Gionis:
Finding Favourite Tuples on Data Streams with Provably Few Comparisons. 3229-3238 - Hancheng Zhang, Guozheng Li, Chi Harold Liu, Guoren Wang, Jian Tang:
HiMacMic: Hierarchical Multi-Agent Deep Reinforcement Learning with Dynamic Asynchronous Macro Strategy. 3239-3248 - Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. 3249-3261 - Jiarui Zhang, Filip Ilievski, Kaixin Ma, Aravinda Kollaa, Jonathan Francis, Alessandro Oltramari:
A Study of Situational Reasoning for Traffic Understanding. 3262-3272 - Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li:
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series. 3273-3285 - Jiaxing Zhang, Dongsheng Luo, Hua Wei:
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation. 3286-3296 - Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework. 3297-3308 - Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng:
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph. 3309-3320 - Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiaoyu Zhang:
Rumor Detection with Diverse Counterfactual Evidence. 3321-3331 - Kun Zhang, Chong Chen, Yuanzhuo Wang, Qi Tian, Long Bai:
CFGL-LCR: A Counterfactual Graph Learning Framework for Legal Case Retrieval. 3332-3341 - Mingxi Zhang, Yanghua Xiao, Wei Wang:
Efficient Single-Source SimRank Query by Path Aggregation. 3342-3352 - Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao, Jiheng Zhang, Ruocheng Guo:
Debiasing Recommendation by Learning Identifiable Latent Confounders. 3353-3363 - Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang:
Local Boosting for Weakly-Supervised Learning. 3364-3375 - Shiqi Zhang, Yiqian Huang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang:
Capacity Constrained Influence Maximization in Social Networks. 3376-3385 - Shiqi Zhang, Renchi Yang, Jing Tang, Xiaokui Xiao, Bo Tang:
Efficient Approximation Algorithms for Spanning Centrality. 3386-3395 - Wenhao Zhang, Zimu Zhou, Yansheng Wang, Yongxin Tong:
DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization. 3396-3408 - Yi-Fan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie:
Domain-Specific Risk Minimization for Domain Generalization. 3409-3421 - Yifei Zhang, Yankai Chen, Zixing Song, Irwin King:
Contrastive Cross-scale Graph Knowledge Synergy. 3422-3433 - Yipeng Zhang, Xin Wang, Hong Chen, Wenwu Zhu:
Adaptive Disentangled Transformer for Sequential Recommendation. 3434-3445 - Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han:
AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning. 3446-3457 - Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han:
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers. 3458-3469 - Zeyu Zhang, Heyang Gao, Hao Yang, Xu Chen:
Hierarchical Invariant Learning for Domain Generalization Recommendation. 3470-3479 - Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen:
Towards Fair Disentangled Online Learning for Changing Environments. 3480-3491 - Lifan Zhao, Shuming Kong, Yanyan Shen:
DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting. 3492-3503 - Peng Zhao, Hou-Cheng Yang, Dipak K. Dey, Guanyu Hu:
Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite Mixtures. 3504-3512 - Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. 3513-3524 - Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan:
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks. 3525-3536 - Yu Zhao, Pan Deng, Junting Liu, Xiaofeng Jia, Jianwei Zhang:
Generative Causal Interpretation Model for Spatio-Temporal Representation Learning. 3537-3548 - Ziliang Zhao, Zhicheng Dou, Yu Guo, Zhao Cao, Xiaohua Cheng:
Improving Search Clarification with Structured Information Extracted from Search Results. 3549-3558 - Lei Zheng, Ning Li, Xianyu Chen, Quan Gan, Weinan Zhang:
Dense Representation Learning and Retrieval for Tabular Data Prediction. 3559-3569 - Menghui Zhou, Po Yang:
Automatic Temporal Relation in Multi-Task Learning. 3570-3580 - Qiqi Zhou, Yanyan Shen, Lei Chen:
Narrow the Input Mismatch in Deep Graph Neural Network Distillation. 3581-3592 - Xiaotian Zhou, Liwang Zhu, Wei Li, Zhongzhi Zhang:
A Sublinear Time Algorithm for Opinion Optimization in Directed Social Networks via Edge Recommendation. 3593-3602 - Zhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang:
Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning. 3603-3614 - Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu:
Dual-view Molecular Pre-training. 3615-3627 - Wenhao Zhu, Tianyu Wen, Guojie Song, Liang Wang, Bo Zheng:
On Structural Expressive Power of Graph Transformers. 3628-3637 - Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li:
Path-Specific Counterfactual Fairness for Recommender Systems. 3638-3649 - Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, Jie Tang:
WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window. 3650-3662 - Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. 3663-3673 - Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang:
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. 3674-3686
Applied Data Track Full Papers
- Abhinav Anand, Surender Kumar, Nandeesh Kumar, Samir Shah:
CADENCE: Offline Category Constrained and Diverse Query Generation for E-commerce Autosuggest. 3703-3712 - Wenxuan Ao, Guozhen Zhang, Yong Li, Depeng Jin:
Learning to Solve Grouped 2D Bin Packing Problems in the Manufacturing Industry. 3713-3723 - Yash Kumar Atri, Vikram Goyal, Tanmoy Chakraborty:
Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific Contents. 3724-3736 - Vasilisa Bashlovkina, Riley Matthews, Zhaobin Kuang, Simon Baumgartner, Michael Bendersky:
SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding. 3737-3749 - Jacob Alexander Markson Brown, Xi Jiang, Van Tran, Arjun Nitin Bhagoji, Nguyen Phong Hoang, Nick Feamster, Prateek Mittal, Vinod Yegneswaran:
Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning. 3750-3761 - Maarten Buyl, Paul Missault, Pierre-Antoine Sondag:
RankFormer: Listwise Learning-to-Rank Using Listwide Labels. 3762-3773 - Zhangming Chan, Yu Zhang, Shuguang Han, Yong Bai, Xiang-Rong Sheng, Siyuan Lou, Jiacen Hu, Baolin Liu, Yuning Jiang, Jian Xu, Bo Zheng:
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach. 3774-3784 - Jianxin Chang, Chenbin Zhang, Zhiyi Fu, Xiaoxue Zang, Lin Guan, Jing Lu, Yiqun Hui, Dewei Leng, Yanan Niu, Yang Song, Kun Gai:
TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou. 3785-3794 - Jianxin Chang, Chenbin Zhang, Yiqun Hui, Dewei Leng, Yanan Niu, Yang Song, Kun Gai:
PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information. 3795-3804 - Xiaomin Chang, Wei Li, Yunchuan Shi, Albert Y. Zomaya:
Taming the Domain Shift in Multi-source Learning for Energy Disaggregation. 3805-3816 - Bo Chen, Jing Zhang, Fanjin Zhang, Tianyi Han, Yuqing Cheng, Xiaoyan Li, Yuxiao Dong, Jie Tang:
Web-Scale Academic Name Disambiguation: The WhoIsWho Benchmark, Leaderboard, and Toolkit. 3817-3828 - Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou:
FS-REAL: Towards Real-World Cross-Device Federated Learning. 3829-3841 - Liyue Chen, Jiangyi Fang, Zhe Yu, Yongxin Tong, Shaosheng Cao, Leye Wang:
A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management. 3842-3854 - Sirui Chen, Yuan Wang, Zijing Wen, Zhiyu Li, Changshuo Zhang, Xiao Zhang, Quan Lin, Cheng Zhu, Jun Xu:
Controllable Multi-Objective Re-ranking with Policy Hypernetworks. 3855-3864 - Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang:
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems. 3865-3876 - Xu Chen, Katerina Marazopoulou, Wesley Lee, Christine Agarwal, Jason Sukumaran, Aude Hofleitner:
Binary Classifier Evaluation on Unlabeled Segments using Inverse Distance Weighting with Distance Learning. 3877-3888 - Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu:
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency. 3889-3900 - Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin:
CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation. 3901-3913 - Ting Dang, Jing Han, Tong Xia, Erika Bondareva, Chloë Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Dimitris Spathis, Pietro Cicuta, Cecilia Mascolo:
Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. 3914-3925 - Samik Datta, Anshuman Mourya, Anirban Majumder, Vineet Chaoji:
Modelling Delayed Redemption with Importance Sampling and Pre-Redemption Engagement. 3926-3936 - Alex Deng, Michelle Du, Anna Matlin, Qing Zhang:
Variance Reduction Using In-Experiment Data: Efficient and Targeted Online Measurement for Sparse and Delayed Outcomes. 3937-3946 - Iddo Drori, Sarah J. Zhang, Reece Shuttleworth, Sarah Zhang, Keith Tyser, Zad Chin, Pedro Lantigua, Saisamrit Surbehera, Gregory Hunter, Derek Austin, Leonard Tang, Yann Hicke, Sage Simhon, Sathwik Karnik, Darnell Granberry, Madeleine Udell:
From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams. 3947-3955 - Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar:
Time-to-Event Modeling with Hypernetwork based Hawkes Process. 3956-3965 - Mohannad Elhamod, Mridul Khurana, Harish Babu Manogaran, Josef C. Uyeda, Meghan A. Balk, Wasila M. Dahdul, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Caleb Charpentier, David Carlyn, Wei-Lun Chao, Charles V. Stewart, Daniel I. Rubenstein, Tanya Y. Berger-Wolf, Anuj Karpatne:
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. 3966-3978 - Youssef Elmougy, Ling Liu:
Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics. 3979-3990 - Chuyu Fang, Chuan Qin, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Xiong:
RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment. 3991-4002 - Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu:
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. 4003-4012 - Kevin Fauvel, Fuxing Chen, Dario Rossi:
A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification. 4013-4023 - Tao Feng, Huan Yan, Huandong Wang, Wenzhen Huang, Yuyang Han, Hongsen Liao, Jinghua Hao, Yong Li:
ILRoute: A Graph-based Imitation Learning Method to Unveil Riders' Routing Strategies in Food Delivery Service. 4024-4034 - Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan:
FedMultimodal: A Benchmark for Multimodal Federated Learning. 4035-4045 - Yuting Feng, Ankitkumar Patel, Bogdan Cautis, Hossein Vahabi:
Influence Maximization with Fairness at Scale. 4046-4055 - Yukang Gan, Yixiao Ge, Chang Zhou, Shupeng Su, Zhouchuan Xu, Xuyuan Xu, Quanchao Hui, Xiang Chen, Yexin Wang, Ying Shan:
Binary Embedding-based Retrieval at Tencent. 4056-4067 - Mathieu Guillame-Bert, Sebastian Bruch, Richard Stotz, Jan Pfeifer:
Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library. 4068-4077 - Baoshen Guo, Shuai Wang, Haotian Wang, Yunhuai Liu, Fanshuo Kong, Desheng Zhang, Tian He:
Towards Equitable Assignment: Data-Driven Delivery Zone Partition at Last-mile Logistics. 4078-4088 - Stephen Hahn, Rico Zhu, Simon Mak, Cynthia Rudin, Yue Jiang:
An Interpretable, Flexible, and Interactive Probabilistic Framework for Melody Generation. 4089-4099 - Jindong Han, Hao Liu, Shui Liu, Xi Chen, Naiqiang Tan, Hua Chai, Hui Xiong:
iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation. 4100-4111 - Li Han, Nan Ding, Guoxuan Wang, Dawei Cheng, Yuqi Liang:
Efficient Continuous Space Policy Optimization for High-frequency Trading. 4112-4122 - Weiguang Han, Boyi Zhang, Qianqian Xie, Min Peng, Yanzhao Lai, Jimin Huang:
Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning. 4123-4134 - Galen Harrison, Amro Alabsi Aljundi, Jiangzhuo Chen, S. S. Ravi, Anil Kumar S. Vullikanti, Madhav V. Marathe, Abhijin Adiga:
Identifying Complicated Contagion Scenarios from Cascade Data. 4135-4145 - Xiao Hu, Yuan Cheng, Zhi Zheng, Yue Wang, Xinxin Chi, Hengshu Zhu:
BOSS: A Bilateral Occupational-Suitability-Aware Recommender System for Online Recruitment. 4146-4155 - Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu:
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. 4156-4165 - Yeping Hu, Bo Lei, Victor M. Castillo:
Graph Learning in Physical-informed Mesh-reduced Space for Real-world Dynamic Systems. 4166-4174 - Zhaoxin Huan, Ang Li, Xiaolu Zhang, Xu Min, Jieyu Yang, Yong He, Jun Zhou:
SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation. 4175-4184 - Rong Huang, Danfeng Zhang, Weixue Lu, Han Li, Meng Wang, Daiting Shi, Jun Fan, Zhicong Cheng, Simiu Gu, Dawei Yin:
Learning Discrete Document Representations in Web Search. 4185-4194 - Shuodi Hui, Huandong Wang, Tong Li, Xinghao Yang, Xing Wang, Junlan Feng, Lin Zhu, Chao Deng, Pan Hui, Depeng Jin, Yong Li:
Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns. 4195-4206 - Md. Ekramul Islam, Labib Chowdhury, Faisal Ahamed Khan, Shazzad Hossain, Md. Sourave Hossain, Mohammad Mamun Or Rashid, Nabeel Mohammed, Mohammad Ruhul Amin:
SentiGOLD: A Large Bangla Gold Standard Multi-Domain Sentiment Analysis Dataset and Its Evaluation. 4207-4218 - Olivier Jeunen, Sean Murphy, Ben Allison:
Off-Policy Learning-to-Bid with AuctionGym. 4219-4228 - Lin Jiang, Shuai Wang, Baoshen Guo, Hai Wang, Desheng Zhang, Guang Wang:
FairCod: A Fairness-aware Concurrent Dispatch System for Large-scale Instant Delivery Services. 4229-4238 - Liyao Jiang, Chenglin Li, Haolan Chen, Xiaodong Gao, Xinwang Zhong, Yang Qiu, Shani Ye, Di Niu:
AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness. 4239-4251 - Yangqin Jiang, Chao Huang, Lianghao Huang:
Adaptive Graph Contrastive Learning for Recommendation. 4252-4261 - Xuewu Jiao, Weibin Li, Xinxuan Wu, Wei Hu, Miao Li, Jiang Bian, Siming Dai, Xinsheng Luo, Mingqing Hu, Zhengjie Huang, Danlei Feng, Junchao Yang, Shikun Feng, Haoyi Xiong, Dianhai Yu, Shuanglong Li, Jingzhou He, Yanjun Ma, Lin Liu:
PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation. 4262-4272 - Ferdian Jovan, Catherine Morgan, Ryan McConville, Emma L. Tonkin, Ian Craddock, Alan L. Whone:
Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting. 4273-4283 - Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, Wen-Mei Hwu:
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research. 4284-4295 - Hyunsung Kim, Han-Jun Choi, Chang Jo Kim, Jinsung Yoon, Sang-Ki Ko:
Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM. 4296-4307 - Johan Kok Zhi Kang, Sien Yi Tan, Bingsheng He, Zhen Zhang:
Real Time Index and Search Across Large Quantities of GNN Experts for Low Latency Online Learning. 4308-4319 - Fanjie Kong, Yuan Li, Houssam Nassif, Tanner Fiez, Ricardo Henao, Shreya Chakrabarti:
Neural Insights for Digital Marketing Content Design. 4320-4332 - Atharva Kulkarni, Sarah Masud, Vikram Goyal, Tanmoy Chakraborty:
Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment. 4333-4345 - Siqi Lai, Weijia Zhang, Hao Liu:
A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation. 4346-4356 - Daeun Lee, Sejung Son, Hyolim Jeon, Seungbae Kim, Jinyoung Han:
Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning. 4357-4369 - Danwei Li, Zhengyu Zhang, Siyang Yuan, Mingze Gao, Weilin Zhang, Chaofei Yang, Xi Liu, Jiyan Yang:
AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations. 4370-4379 - Ruikun Li, Huandong Wang, Yong Li:
Learning Slow and Fast System Dynamics via Automatic Separation of Time Scales. 4380-4390 - Xuechun Li, Paula M. Bürgi, Wei Ma, Hae Young Noh, David Jay Wald, Susu Xu:
DisasterNet: Causal Bayesian Networks with Normalizing Flows for Cascading Hazards Estimation from Satellite Imagery. 4391-4403 - Xujia Li, Yuan Li, Xueying Mo, Hebing Xiao, Yanyan Shen, Lei Chen:
Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering. 4404-4413 - Yang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan:
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline. 4414-4425 - Youru Li, Zhenfeng Zhu, Xiaobo Guo, Linxun Chen, Zhouyin Wang, Yinmeng Wang, Bing Han, Yao Zhao:
Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction. 4426-4436 - Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin:
S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data. 4437-4448 - Chumeng Liang, Zherui Huang, Yicheng Liu, Zhanyu Liu, Guanjie Zheng, Hanyuan Shi, Kan Wu, Yuhao Du, Fuliang Li, Zhenhui Jessie Li:
CBLab: Supporting the Training of Large-scale Traffic Control Policies with Scalable Traffic Simulation. 4449-4460 - Hao Liao, Jiahao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie:
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection. 4461-4472 - Song Liao, Ebuka Okpala, Long Cheng, Mingqi Li, Nishant Vishwamitra, Hongxin Hu, Feng Luo, Matthew Costello:
Analysis of COVID-19 Offensive Tweets and Their Targets. 4473-4484 - Sicheng Lin, Meng Xu, Xi Zhang, Shih-Kang Chao, Ying-Kai Huang, Xiaolin Shi:
Balancing Approach for Causal Inference at Scale. 4485-4496 - Xiao Lin, Xiaokai Chen, Linfeng Song, Jingwei Liu, Biao Li, Peng Jiang:
Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation. 4497-4506 - Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He:
Explicit Feature Interaction-aware Uplift Network for Online Marketing. 4507-4515 - Hao Liu, Wenzhao Jiang, Shui Liu, Xi Chen:
Uncertainty-Aware Probabilistic Travel Time Prediction for On-Demand Ride-Hailing at DiDi. 4516-4526 - Jiayi Liu, Jennifer Neville:
Stationary Algorithmic Balancing For Dynamic Email Re-Ranking Problem. 4527-4538 - Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen:
PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation. 4539-4548 - Xiao Liu, Hanyu Lai, Hao Yu, Yifan Xu, Aohan Zeng, Zhengxiao Du, Peng Zhang, Yuxiao Dong, Jie Tang:
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences. 4549-4560 - Qingyue Long, Huandong Wang, Tong Li, Lisi Huang, Kun Wang, Qiong Wu, Guangyu Li, Yanping Liang, Li Yu, Yong Li:
Practical Synthetic Human Trajectories Generation Based on Variational Point Processes. 4561-4571 - Yuankai Luo, Lei Shi, Mufan Xu, Yuwen Ji, Fengli Xiao, Chunming Hu, Zhiguang Shan:
Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs. 4572-4583 - Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li:
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection. 4584-4594 - Zhipeng Ma, Chuishi Meng, Huimin Ren, Sijie Ruan, Jie Bao, Xiaoting Wang, Tianrui Li, Yu Zheng:
SAInf: Stay Area Inference of Vehicles using Surveillance Camera Records. 4595-4604 - Debabrata Mahapatra, Chaosheng Dong, Yetian Chen, Michinari Momma:
Multi-Label Learning to Rank through Multi-Objective Optimization. 4605-4616 - Jinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li:
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. 4617-4627 - Xiaowei Mao, Haomin Wen, Hengrui Zhang, Huaiyu Wan, Lixia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin:
DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction. 4628-4637 - Brandon A. Mayer, Anton Tsitsulin, Hendrik Fichtenberger, Jonathan Halcrow, Bryan Perozzi:
HUGE: Huge Unsupervised Graph Embeddings with TPUs. 4638-4648 - Chang Meng, Hengyu Zhang, Wei Guo, Huifeng Guo, Haotian Liu, Yingxue Zhang, Hongkun Zheng, Ruiming Tang, Xiu Li, Rui Zhang:
Hierarchical Projection Enhanced Multi-behavior Recommendation. 4649-4660 - Erxue Min, Da Luo, Kangyi Lin, Chunzhen Huang, Yang Liu:
Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction. 4661-4672 - Mila Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy:
Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications. 4673-4684 - Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu:
Deep Landscape Forecasting in Multi-Slot Real-Time Bidding. 4685-4695 - Ritika Pandey, Jeremy G. Carter, James H. Hill, George O. Mohler:
Rewiring Police Officer Training Networks to Reduce Forecasted Use of Force. 4696-4704 - Martin Pavlovski, Srinath Ravindran, Djordje Gligorijevic, Shubham Agrawal, Ivan Stojkovic, Nelson Segura-Nunez, Jelena Gligorijevic:
Extreme Multi-Label Classification for Ad Targeting using Factorization Machines. 4705-4716 - Zhiyuan Peng, Vachik S. Dave, Nicole McNabb, Rahul Sharnagat, Alessandro Magnani, Ciya Liao, Yi Fang, Sravanthi Rajanala:
Entity-aware Multi-task Learning for Query Understanding at Walmart. 4733-4742 - Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng:
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. 4743-4755 - Saeed Ranjbar Alvar, Mohammad Akbari, David (Ming Xuan) Yue, Yong Zhang:
NFT-Based Data Marketplace with Digital Watermarking. 4756-4767 - Pieter Robberechts, Maaike Van Roy, Jesse Davis:
un-xPass: Measuring Soccer Player's Creativity. 4768-4777 - Karan Samel, Cheng Li, Weize Kong, Tao Chen, Mingyang Zhang, Shaleen Kumar Gupta, Swaraj Khadanga, Wensong Xu, Xingyu Wang, Kashyap Kolipaka, Michael Bendersky, Marc Najork:
End-to-End Query Term Weighting. 4778-4786 - Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang:
UnifieR: A Unified Retriever for Large-Scale Retrieval. 4787-4799 - Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li, Wentao Zhang, Bin Cui:
Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning. 4800-4812 - Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng:
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. 4813-4822 - Xiaowen Shi, Fan Yang, Ze Wang, Xiaoxu Wu, Muzhi Guan, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang:
PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce. 4823-4831 - Ryu Shirakami, Toshiya Kitahara, Koh Takeuchi, Hisashi Kashima:
QTNet: Theory-based Queue Length Prediction for Urban Traffic. 4832-4841 - Shiyuan Zhang, Tong Li, Shuodi Hui, Guangyu Li, Yanping Liang, Li Yu, Depeng Jin, Yong Li:
Deep Transfer Learning for City-scale Cellular Traffic Generation through Urban Knowledge Graph. 4842-4851 - Qian Sun, Le Zhang, Huan Yu, Weijia Zhang, Yu Mei, Hui Xiong:
Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections. 4852-4861 - Wenxin Tai, Bin Chen, Fan Zhou, Ting Zhong, Goce Trajcevski, Yong Wang, Kai Chen:
TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation. 4862-4871 - Chun How Tan, Austin Chan, Malay Haldar, Jie Tang, Xin Liu, Mustafa Abdool, Huiji Gao, Liwei He, Sanjeev Katariya:
Optimizing Airbnb Search Journey with Multi-task Learning. 4872-4881 - Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi:
Improving Training Stability for Multitask Ranking Models in Recommender Systems. 4882-4893 - Shisong Tang, Qing Li, Dingmin Wang, Ci Gao, Wentao Xiao, Dan Zhao, Yong Jiang, Qian Ma, Aoyang Zhang:
Counterfactual Video Recommendation for Duration Debiasing. 4894-4903 - Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng:
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. 4904-4913 - Hasan Tercan, Tobias Meisen:
Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning. 4914-4923 - Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang:
PASS: Personalized Advertiser-aware Sponsored Search. 4924-4936 - Aditya Srinivas Timmaraju, Mehdi Mashayekhi, Mingliang Chen, Qi Zeng, Quintin Fettes, Wesley Cheung, Yihan Xiao, Manojkumar Rangasamy Kannadasan, Pushkar Tripathi, Sean Gahagan, Miranda Bogen, Rob Roudani:
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning. 4937-4947 - Federico Tomasi, Joseph Cauteruccio, Surya Kanoria, Kamil Ciosek, Matteo Rinaldi, Zhenwen Dai:
Automatic Music Playlist Generation via Simulation-based Reinforcement Learning. 4948-4957 - Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu:
Workplace Recommendation with Temporal Network Objectives. 4958-4969 - Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Xiaomei Li, Jixue Liu, Tony Waters:
Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments. 4970-4980 - Mykola Trokhymovych, Muniza Aslam, Ai-Jou Chou, Ricardo Baeza-Yates, Diego Sáez-Trumper:
Fair Multilingual Vandalism Detection System for Wikipedia. 4981-4990 - Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri:
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines. 4991-5003 - Mike Van Ness, Tomas M. Bosschieter, Roberto Halpin-Gregorio, Madeleine Udell:
The Missing Indicator Method: From Low to High Dimensions. 5004-5015 - Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song:
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. 5016-5027 - Chao Wang, Xiaowei Shi, Shuai Xu, Zhe Wang, Zhiqiang Fan, Yan Feng, An You, Yu Chen:
A Multi-stage Framework for Online Bonus Allocation Based on Constrained User Intent Detection. 5028-5038 - Dong Wang, Kavé Salamatian, Yunqing Xia, Weiwei Deng, Qi Zhang:
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction. 5039-5050 - Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen:
Interdependent Causal Networks for Root Cause Localization. 5051-5060 - Haoyu Wang, Yaqing Wang, Feijie Wu, Hongfei Xue, Jing Gao:
Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding. 5061-5070 - Huazhang Wang, Zhaojing Luo, James Wei Luen Yip, Chuyang Ye, Meihui Zhang:
ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection. 5071-5081 - Jianling Wang, Haokai Lu, Sai Zhang, Bart N. Locanthi, Haoting Wang, Dylan Greaves, Benjamin Lipshitz, Sriraj Badam, Ed H. Chi, Cristos J. Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen:
Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation. 5082-5091 - Jingwei Wang, Jianshan He, Weidi Xu, Ruopeng Li, Wei Chu:
Learning to Discover Various Simpson's Paradoxes. 5092-5103 - Lewen Wang, Haozhe Zhao, Cunguang Feng, Weiqing Liu, Congrui Huang, Marco Santoni, Manuel Cristofaro, Paola Jafrancesco, Jiang Bian:
Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection. 5104-5115 - Lu Wang, Chaoyun Zhang, Ruomeng Ding, Yong Xu, Qihang Chen, Wentao Zou, Qingjun Chen, Meng Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback. 5116-5125 - Wei-Yao Wang, Yung-Chang Huang, Tsi-Ui Ik, Wen-Chih Peng:
ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis. 5126-5136 - Xin Wang, Huijun Zhang, Lei Cao, Kaisheng Zeng, Qi Li, Ningyun Li, Ling Feng:
Contrastive Learning of Stress-specific Word Embedding for Social Media based Stress Detection. 5137-5149 - Yejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng:
Doctor Specific Tag Recommendation for Online Medical Record Management. 5150-5161 - Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Xiao Cheng, Bing Yin, Suhang Wang, Philip S. Yu:
Exploiting Intent Evolution in E-commercial Query Recommendation. 5162-5173 - Yuan Wang, Peifeng Yin, Zhiqiang Tao, Hari Venkatesan, Jin Lai, Yi Fang, PJ Xiao:
An Empirical Study of Selection Bias in Pinterest Ads Retrieval. 5174-5183 - Zilong Wang, Yichao Zhou, Wei Wei, Chen-Yu Lee, Sandeep Tata:
VRDU: A Benchmark for Visually-rich Document Understanding. 5184-5193 - Ziming Wang, Qianru Wu, Baolin Zheng, Junjie Wang, Kaiyu Huang, Yanjie Shi:
Sequence As Genes: An User Behavior Modeling Framework for Fraud Transaction Detection in E-commerce. 5194-5203 - Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng:
RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads. 5204-5214 - Guojun Wu, Ge Song, Xiaoxiang Lv, Shikai Luo, Chengchun Shi, Hongtu Zhu:
DNet: Distributional Network for Distributional Individualized Treatment Effects. 5215-5224 - Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu:
On-device Integrated Re-ranking with Heterogeneous Behavior Modeling. 5225-5236 - Kaiwen Xia, Li Lin, Shuai Wang, Haotian Wang, Desheng Zhang, Tian He:
A Predict-Then-Optimize Couriers Allocation Framework for Emergency Last-mile Logistics. 5237-5248 - Xue Xia, Pong Eksombatchai, Nikil Pancha, Dhruvil Deven Badani, Po-Wei Wang, Neng Gu, Saurabh Vishwas Joshi, Nazanin Farahpour, Zhiyuan Zhang, Andrew Zhai:
TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest. 5249-5259 - Tingyan Xiang, Ao Li, Yugang Ji, Dong Li:
Knowledge Based Prohibited Item Detection on Heterogeneous Risk Graphs. 5260-5269 - Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. 5270-5281 - Jian Xie, Yidan Liang, Jingping Liu, Yanghua Xiao, Baohua Wu, Shenghua Ni:
QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search. 5282-5291 - Xiaochong Lan, Chen Gao, Shiqi Wen, Xiuqi Chen, Yingge Che, Han Zhang, Huazhou Wei, Hengliang Luo, Yong Li:
NEON: Living Needs Prediction System in Meituan. 5292-5302 - Yu Xiong, Runze Wu, Shiwei Zhao, Jianrong Tao, Xudong Shen, Tangjie Lyu, Changjie Fan, Peng Cui:
A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games. 5303-5314 - Jia Xu, Wanjie Tao, Zulong Chen, Jin Huang, Huihui Liu, Hong Wen, Shenghua Ni, Qun Dai, Yu Gu:
PlanRanker: Towards Personalized Ranking of Train Transfer Plans. 5315-5326 - Yue Xu, Hao Chen, Zefan Wang, Jianwen Yin, Qijie Shen, Dimin Wang, Feiran Huang, Lixiang Lai, Tao Zhuang, Junfeng Ge, Xia Hu:
Multi-factor Sequential Re-ranking with Perception-Aware Diversification. 5327-5337 - Yue Xu, Qijie Shen, Jianwen Yin, Zengde Deng, Dimin Wang, Hao Chen, Lixiang Lai, Tao Zhuang, Junfeng Ge:
Multi-channel Integrated Recommendation with Exposure Constraints. 5338-5349 - Zhentao Xu, Ruoying Wang, Girish Balaji, Manas Bundele, Xiao-Fei Liu, Leo Liu, Tie Wang:
AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedIn. 5350-5359 - Bing Xue, Ahmed Sameh Said, Ziqi Xu, Hanyang Liu, Neel Shah, Hanqing Yang, Philip R. O. Payne, Chenyang Lu:
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation. 5360-5371 - Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin, Dongmei Zhang:
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets. 5372-5381 - Jingsong Yang, Guanzhou Han, Deqing Yang, Jingping Liu, Yanghua Xiao, Xiang Xu, Baohua Wu, Shenghua Ni:
M3PT: A Multi-Modal Model for POI Tagging. 5382-5392 - Linxiao Yang, Rui Ren, Xinyue Gu, Liang Sun:
Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting. 5393-5403 - Evan Yao, Jagdish Ramakrishnan, Xu Chen, Viet-An Nguyen, Udi Weinsberg:
From Labels to Decisions: A Mapping-Aware Annotator Model. 5404-5415 - Yakir Yehuda, Daniel Freedman, Kira Radinsky:
Self-supervised Classification of Clinical Multivariate Time Series using Time Series Dynamics. 5416-5427 - Jingwei Yi, Fangzhao Wu, Bin Zhu, Jing Yao, Zhulin Tao, Guangzhong Sun, Xing Xie:
UA-FedRec: Untargeted Attack on Federated News Recommendation. 5428-5438 - Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang:
DGI: An Easy and Efficient Framework for GNN Model Evaluation. 5439-5450 - Kanghoon Yoon, Youngjun Im, Jingyu Choi, Taehwan Jeong, Jinkyoo Park:
Learning Multivariate Hawkes Process via Graph Recurrent Neural Network. 5451-5462 - Jianke Yu, Hanchen Wang, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang:
Group-based Fraud Detection Network on e-Commerce Platforms. 5463-5475 - Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He:
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. 5476-5486 - Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang:
LibAUC: A Deep Learning Library for X-Risk Optimization. 5487-5499 - Junwoo Yun, Wonryeol Kwak, Joohyun Kim:
Multi Datasource LTV User Representation (MDLUR). 5500-5508 - Xiaoling Zang, Binbin Hu, Jun Chu, Zhiqiang Zhang, Guannan Zhang, Jun Zhou, Wenliang Zhong:
Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay. 5509-5519 - Jiaqi Zhai, Zhaojie Gong, Yueming Wang, Xiao Sun, Zheng Yan, Fu Li, Xing Liu:
Revisiting Neural Retrieval on Accelerators. 5520-5531 - Hanbo Zhang, Jiangxin Li, Shen Liang, Peng Wang, Themis Palpanas, Chen Wang, Wei Wang, Haoxuan Zhou, Jianwei Song, Wen Lu:
Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing Applications. 5532-5543 - Haoqi Zhang, Lvyin Niu, Zhenzhe Zheng, Zhilin Zhang, Shan Gu, Fan Wu, Chuan Yu, Jian Xu, Guihai Chen, Bo Zheng:
A Personalized Automated Bidding Framework for Fairness-aware Online Advertising. 5544-5553 - Jiasheng Zhang, Kaiqiang An, Guoping Liu, Xiang Wen, Runbo Hu, Jie Shao:
Understanding the Semantics of GPS-based Trajectories for Road Closure Detection. 5554-5563 - Jing Zhang, Xiaokang Zhang, Daniel Zhang-Li, Jifan Yu, Zijun Yao, Zeyao Ma, Yiqi Xu, Haohua Wang, Xiaohan Zhang, Nianyi Lin, Sunrui Lu, Juanzi Li, Jie Tang:
GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation. 5564-5575 - Wei Zhang, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang:
A Collaborative Transfer Learning Framework for Cross-domain Recommendation. 5576-5585 - Xingyi Zhang, Shuliang Xu, Wenqing Lin, Sibo Wang:
Constrained Social Community Recommendation. 5586-5596 - Xinyang Zhang, Yury Malkov, Omar Florez, Serim Park, Brian McWilliams, Jiawei Han, Ahmed El-Kishky:
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter. 5597-5607 - Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi:
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). 5608-5617 - Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork:
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. 5618-5627 - Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu:
Modeling Dual Period-Varying Preferences for Takeaway Recommendation. 5628-5638 - Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Tan, Xiao Xiong, LuLu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin, Dongmei Zhang:
Robust Multimodal Failure Detection for Microservice Systems. 5639-5649 - Pengyu Zhao, Xin Gao, Chunxu Xu, Liang Chen:
M5: Multi-Modal Multi-Interest Multi-Scenario Matching for Over-the-Top Recommendation. 5650-5659 - Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu:
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. 5660-5672 - Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Lei Shen, Zihan Wang, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang:
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X. 5673-5684 - Wen Zheng, Bingbing Xu, Emiao Lu, Yang Li, Qi Cao, Xuan Zong, Huawei Shen:
MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification. 5685-5694 - Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li:
Road Planning for Slums via Deep Reinforcement Learning. 5695-5706 - Sheng Zhong, Vinícius M. A. de Souza, Glenn Eli Baker, Abdullah Mueen:
Online Few-Shot Time Series Classification for Aftershock Detection. 5707-5716 - Jun Zhou, Yang Bao, Daohong Jian, Hua Wu:
PDAS: A Practical Distributed ADMM System for Large-Scale Linear Programming Problems at Alipay. 5717-5727 - Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang:
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. 5728-5738 - Xianghui Zhu, Peng Du, Shuo Shao, Chenxu Zhu, Weinan Zhang, Yang Wang, Yang Cao:
A Feature-Based Coalition Game Framework with Privileged Knowledge Transfer for User-tag Profile Modeling. 5739-5749 - Yida Zhu, Liying Chen, Daping Xiong, Shuiping Chen, Fangxiao Du, Jinghua Hao, Renqing He, Zhizhao Sun:
C-AOI: Contour-based Instance Segmentation for High-Quality Areas-of-Interest in Online Food Delivery Platform. 5750-5759
Hands On Tutorials
- Giridhar Ganapavarapu, Sumanta Mukherjee, Natalia Martinez Gil, Kanthi K. Sarpatwar, Amaresh Rajasekharan, Amit Dhurandhar, Vijay Arya, Roman Vaculín:
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases. 5777-5778 - Rayid Ghani, Kit T. Rodolfa, Pedro Saleiro, Sérgio M. Jesus:
Addressing Bias and Fairness in Machine Learning: A Practical Guide and Hands-on Tutorial. 5779-5780 - Aman Gupta, S. Sathiya Keerthi, Ayan Acharya, Miao Cheng, Borja Ocejo Elizondo, Rohan Ramanath, Rahul Mazumder, Kinjal Basu, J. Kenneth Tay, Rupesh Gupta:
Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference. 5781-5782 - Mia C. Mayer, Muhammad Bilal Zafar, Luca Franceschi, Huzefa Rangwala:
Hands-on Tutorial: "Explanations in AI: Methods, Stakeholders and Pitfalls". 5783-5785 - Bryan Perozzi, Sami Abu-El-Haija, Anton Tsitsulin:
Graph Neural Networks in TensorFlow. 5786-5787 - Chaoqi Yang, Zhenbang Wu, Patrick Jiang, Zhen Lin, Junyi Gao, Benjamin P. Danek, Jimeng Sun:
PyHealth: A Deep Learning Toolkit for Healthcare Applications. 5788-5789 - Jian Zhang, Da Zheng, Xiang Song, Theodore Vasiloudis, Israt Nisa, Jim Lu:
GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes. 5790-5791
Lecture Style Tutorials
- Xin Luna Dong, Seungwhan Moon, Yifan Ethan Xu, Kshitiz Malik, Zhou Yu:
Towards Next-Generation Intelligent Assistants Leveraging LLM Techniques. 5792-5793 - Yushun Dong, Oyku Deniz Kose, Yanning Shen, Jundong Li:
Fairness in Graph Machine Learning: Recent Advances and Future Prospectives. 5794-5795 - Wenqi Fan, Xiangyu Zhao, Lin Wang, Xiao Chen, Jingtong Gao, Qidong Liu, Shijie Wang:
Trustworthy Recommender Systems: Foundations and Frontiers. 5796-5797 - João Gama, Slawomir Nowaczyk, Sepideh Pashami, Rita P. Ribeiro, Grzegorz J. Nalepa, Bruno Veloso:
XAI for Predictive Maintenance. 5798-5799 - Hongchang Gao, Xinwen Zhang:
Distributed Optimization for Big Data Analytics: Beyond Minimization. 5800-5801 - Badih Ghazi, Ravi Kumar, Pasin Manurangsi:
Privacy in Advertising: Analytics and Modeling. 5802 - Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi, Lun Du, Jin Wang:
Causal Discovery from Temporal Data. 5803-5804 - Krishnaram Kenthapadi, Himabindu Lakkaraju, Nazneen Rajani:
Generative AI meets Responsible AI: Practical Challenges and Opportunities. 5805-5806 - Eamonn J. Keogh:
Getting an h-Index of 100 in 20 Years or Less! 5807-5808 - Lingkai Kong, Harshavardhan Kamarthi, Peng Chen, B. Aditya Prakash, Chao Zhang:
Uncertainty Quantification in Deep Learning. 5809-5810 - Geon Lee, Jaemin Yoo, Kijung Shin:
Mining of Real-world Hypergraphs: Patterns, Tools, and Generators. 5811-5812 - Lihui Liu, Hanghang Tong:
Knowledge Graph Reasoning and Its Applications. 5813-5814 - Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn:
Fast Text Generation with Text-Editing Models. 5815-5816 - Yu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, Jiawei Han:
Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective. 5817-5818 - Raha Moraffah, Amir-Hossein Karimi, Adrienne Raglin, Huan Liu:
Socially Responsible Machine Learning: A Causal Perspective. 5819-5820 - Aashiq Muhamed, Christian Bock, Rahul Solanki, Youngsuk Park, Yida Wang, Jun Huan:
Training Large-scale Foundation Models on Emerging AI Chips. 5821-5822 - Natalia Ponomareva, Sergei Vassilvitskii, Zheng Xu, Brendan McMahan, Alexey Kurakin, Chiyaun Zhang:
How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy. 5823-5824 - Hoifung Poon, Tristan Naumann, Sheng Zhang, Javier González Hernández:
Precision Health in the Age of Large Language Models. 5825-5826 - Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie:
Trustworthy Machine Learning: Robustness, Generalization, and Interpretability. 5827-5828 - Jun Wu, Jingrui He:
Trustworthy Transfer Learning: Transferability and Trustworthiness. 5829-5830 - Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo:
Graph Neural Networks: Foundation, Frontiers and Applications. 5831-5832 - Minkai Xu, Meng Liu, Wengong Jin, Shuiwang Ji, Jure Leskovec, Stefano Ermon:
Graph and Geometry Generative Modeling for Drug Discovery. 5833-5834 - Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu:
Large-Scale Graph Neural Networks: The Past and New Frontiers. 5835-5836 - Chengxi Zang, Weishen Pan, Fei Wang:
Mining Electronic Health Records for Real-World Evidence. 5837-5838 - Daochen Zha, Kwei-Herng Lai, Fan Yang, Na Zou, Huiji Gao, Xia Hu:
Data-centric AI: Techniques and Future Perspectives. 5839-5840 - Zhiqiang Zhong, Davide Mottin:
Knowledge-augmented Graph Machine Learning for Drug Discovery: From Precision to Interpretability. 5841-5842 - Min Zhou, Menglin Yang, Bo Xiong, Hui Xiong, Irwin King:
Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications. 5843-5844
Workshop Summaries
- Naoki Abe, Kathleen Buckingham, Yuzhou Chen, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, Yulia R. Gel, James Hodson, Ramakrishnan Kannan, Huikyo Lee, Jiafu Mao, Rose Yu:
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. 5845-5846 - Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash:
epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. 5847-5848 - Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan:
AdKDD 2023. 5849-5850 - Federico Bianchi, Patrick John Chia, Jacopo Tagliabue, Ciro Greco, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain, Claudio Pomo:
EvalRS 2023: Well-Rounded Recommender Systems for Real-World Deployments. 5851-5852 - Derek Zhiyuan Cheng, Dhaval Patel, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu, Nitesh V. Chawla, James Bailey:
Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning. 5853-5854 - Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen:
3rd Workshop on Online and Adaptive Recommender Systems (OARS). 5855-5856 - Manas Gaur, Efthymia Tsamoura, Sarath Sreedharan, Sudip Mittal:
KiL 2023 : 3rd International Workshop on Knowledge-infused Learning. 5857-5858 - Dmitri Goldenberg, Chana Ross, Shir Meir Lador, Lin Lee Cheong, Panpan Xu, Elena Sokolova, Amit Mandelbaum, Irina Vasilinetc, Ankit Jain, Amit Weil Modlinger, Saloni Potdar:
The Second Workshop on Applied Machine Learning Management. 5859-5860 - Junyuan Hong, Zhuangdi Zhu, Lingjuan Lyu, Yang Zhou, Vishnu Naresh Boddeti, Jiayu Zhou:
International Workshop on Federated Learning for Distributed Data Mining. 5861-5862 - Leman Akoglu, Nitesh V. Chawla, Senthil Kumar, Saurabh Nagrecha, Mahashweta Das, Vidyut M. Naware, Tanveer A. Faruquie:
KDD Workshop on Machine Learning in Finance. 5863-5864 - Thuc Duy Le:
The KDD'23 Workshop on Causal Discovery, Prediction and Decision (CDPD 2023). 5865-5866 - Jeong-Yoon Lee, Yifeng Wu, Keith Battocchi, Fabio Vera, Zhenyu Zhao, Totte Harinen, Jing Pan, Huigang Chen, Zeyu Zheng, Chu Wang, Yingfei Wang, Xinwei Ma:
Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond. 5867 - Yuan Ling, Fanyou Wu, Shujing Dong, Yarong Feng, George Karypis, Chandan K. Reddy:
International Workshop on Multimodal Learning - 2023 Theme: Multimodal Learning with Foundation Models. 5868-5869 - Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik:
The 3rd Workshop on Graph Learning Benchmarks (GLB 2023). 5870-5871 - Shervin Malmasi, Besnik Fetahu, Eugene Agichtein, Oleg Rokhlenko, Ido Guy, Nicola Ueffing, Surya Kallumadi:
The 6th Workshop on e-eommerce and NLP (ECNLP 6). 5872-5873 - Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson:
The 12th International Workshop on Urban Computing. 5874-5875 - Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka:
The 9th SIGKDD International Workshop on Mining and Learning from Time Series. 5876-5877 - Zhiwei (Tony) Qin, Rui Song, Jieping Ye, Hongtu Zhu, Michael I. Jordan:
KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces. 5878-5879 - Sagar Samtani, Shanchieh Yang, Hsinchun Chen:
The 3rd Workshop on Artificial Intelligence-enabled Cybersecurity Analytics. 5880-5881 - Neil Shah, Shobeir Fakhraei, Da Zheng, Bahare Fatemi, Leman Akoglu:
19th International Workshop on Mining and Learning with Graphs (MLG). 5882-5883 - Sameena Shah, Xiaodan Zhu, Gerard de Melo, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, Zhiyu Chen:
Robust NLP for Finance (RobustFin). 5884-5885 - Huan Song, Panpan Xu, Lin Lee Cheong, Yuanheng Wang:
KDD 2023 Workshop on Data Science and AI for Sports. 5886-5887 - Ankur Teredesai, Michael Zeller, Shenghua Bao, Wee Hyong Tok, Linsey Pang:
From Innovation to Scale (I2S) - Discuss and Learn How to Successfully Build, Commercialize, and Scale AI Innovations in Challenging Market Conditions. 5888-5889 - Chu Wang, Yingfei Wang, Haipeng Luo, Daniel Jiang, Jinghai He, Zeyu Zheng:
2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond. 5890 - Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo:
Deep Learning on Graphs: Methods and Applications (DLG-KDD2023). 5891-5892 - Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner:
Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare. 5893-5894 - Amulya Yadav, Aparna Taneja, Ayan Mukhopadhyay, Serina Chang:
KDD 2023 International Workshop on Data Science for Social Good (DSSG-23). 5895-5896 - Da Yan, Ariful Azad, Jie Hou, Jake Y. Chen, Mohammed J. Zaki:
22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023). 5897-5898 - Wenhao Yu, Lingbo Tong, Weijia Shi, Nanyun Peng, Meng Jiang:
The Second Workshop on Knowledge-Augmented Methods for Natural Language Processing. 5899-5900 - Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang:
RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. 5901-5902 - Chen Zhao, Feng Chen, Xintao Wu, Haifeng Chen, Jiayu Zhou:
2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). 5903-5904 - Hongying Zhao, Zhenyu Zhao, Anbang Xu, Neha Gupta, Mert Bay:
2nd Workshop on End-End Customer Journey Optimization. 5905-5906 - Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Haifeng Chen:
2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making. 5907-5908 - Hengshu Zhu, Hui Xiong, Yong Ge, Ee-Peng Lim:
The 4th International Workshop on Talent and Management Computing (TMC'2023). 5909-5910
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