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2020 – today
- 2023
[j176]Haoqiang Liu, Zefang Zong, Yong Li, Depeng Jin:
NeuroCrossover: An intelligent genetic locus selection scheme for genetic algorithm using reinforcement learning. Appl. Soft Comput. 146: 110680 (2023)- [j175]Guozhen Zhang
, Fengli Xu, Yuan Yuan, Depeng Jin:
Understanding the Influence of Social Hubs in Diffusion Processes Driven by Incentivized Friend Invitation. IEEE Trans. Comput. Soc. Syst. 10(4): 1491-1502 (2023) - [j174]Guozhen Zhang, Jinhui Yi, Jian Yuan, Yong Li, Depeng Jin:
DAS: Efficient Street View Image Sampling for Urban Prediction. ACM Trans. Intell. Syst. Technol. 14(2): 35:1-35:20 (2023) - [j173]Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Fan Yang, Funing Sun, Depeng Jin, Yong Li:
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. ACM Trans. Knowl. Discov. Data 17(1): 9:1-9:21 (2023) - [j172]Jinwei Chen, Zefang Zong, Yunlin Zhuang, Huan Yan, Depeng Jin, Yong Li:
Reinforcement Learning for Practical Express Systems with Mixed Deliveries and Pickups. ACM Trans. Knowl. Discov. Data 17(3): 33:1-33:19 (2023) - [j171]Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang:
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. ACM Trans. Knowl. Discov. Data 17(4): 58:1-58:28 (2023) - [j170]Chen Gao, Tzu-Heng Lin, Nian Li, Depeng Jin, Yong Li:
Cross-Platform Item Recommendation for Online Social E-Commerce. IEEE Trans. Knowl. Data Eng. 35(2): 1351-1364 (2023) - [j169]Yu Zheng, Chen Gao, Xiangnan He, Depeng Jin, Yong Li:
Incorporating Price into Recommendation With Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 35(2): 1609-1623 (2023) - [j168]Yuan Yuan, Fengli Xu, Hancheng Cao, Guozhen Zhang, Pan Hui, Yong Li, Depeng Jin:
Persuade to Click: Context-Aware Persuasion Model for Online Textual Advertisement. IEEE Trans. Knowl. Data Eng. 35(2): 1938-1951 (2023) - [j167]Jianxin Chang, Chen Gao, Xiangnan He, Depeng Jin, Yong Li:
Bundle Recommendation and Generation With Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2326-2340 (2023) - [j166]Nian Li, Chen Gao, Depeng Jin, Qingmin Liao:
Disentangled Modeling of Social Homophily and Influence for Social Recommendation. IEEE Trans. Knowl. Data Eng. 35(6): 5738-5751 (2023) - [j165]Yingrong Qin, Chen Gao, Yue Wang, Shuangqing Wei, Depeng Jin, Jian Yuan, Lin Zhang:
Disentangling Geographical Effect for Point-of-Interest Recommendation. IEEE Trans. Knowl. Data Eng. 35(8): 7883-7897 (2023) - [c170]Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li:
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. AAAI 2023: 14539-14547 - [c169]Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li:
Spatio-temporal Diffusion Point Processes. KDD 2023: 3173-3184 - [c168]Wenxuan Ao, Guozhen Zhang, Yong Li, Depeng Jin:
Learning to Solve Grouped 2D Bin Packing Problems in the Manufacturing Industry. KDD 2023: 3713-3723 - [c167]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. KDD 2023: 4195-4206 - [c166]Jinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li:
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. KDD 2023: 4617-4627 - [c165]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. KDD 2023: 4842-4851 - [c164]Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li:
Road Planning for Slums via Deep Reinforcement Learning. KDD 2023: 5695-5706 - [c163]Jiahui Gong, Qiaohong Yu, Tong Li, Haoqiang Liu, Jun Zhang, Hangyu Fan, Depeng Jin, Yong Li:
Demo: Scalable Digital Twin System for Mobile Networks with Generative AI. MobiSys 2023: 610-611 - [c162]Yunzhu Pan, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Depeng Jin, Yong Li:
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. RecSys 2023: 540-550 - [c161]Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Meng Wang, Yong Li:
Learning Fine-grained User Interests for Micro-video Recommendation. SIGIR 2023: 433-442 - [c160]Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li:
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. SIGIR 2023: 2466-2470 - [c159]Zhilun Zhou, Yu Liu, Jingtao Ding, Depeng Jin, Yong Li:
Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network. WWW 2023: 122-132 - [c158]Guozhen Zhang, Tian Ye, Depeng Jin, Yong Li:
An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction. WWW 2023: 429-437 - [c157]Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li:
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. WWW 2023: 906-916 - [c156]Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin, Yong Li:
Dual-interest Factorization-heads Attention for Sequential Recommendation. WWW 2023: 917-927 - [c155]Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li:
Robust Preference-Guided Denoising for Graph based Social Recommendation. WWW 2023: 1097-1108 - [i50]Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin, Yong Li:
Dual-interest Factorization-heads Attention for Sequential Recommendation. CoRR abs/2302.03965 (2023) - [i49]Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li:
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. CoRR abs/2302.10897 (2023) - [i48]Huiming Chen, Huandong Wang, Depeng Jin, Yong Li:
Advancements in Federated Learning: Models, Methods, and Privacy. CoRR abs/2302.11466 (2023) - [i47]Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li:
Robust Preference-Guided Denoising for Graph based Social Recommendation. CoRR abs/2303.08346 (2023) - [i46]Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li:
Spatio-temporal Diffusion Point Processes. CoRR abs/2305.12403 (2023) - [i45]Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li:
Road Planning for Slums via Deep Reinforcement Learning. CoRR abs/2305.13060 (2023) - [i44]Tong Li, Li Yu, Yibo Ma, Tong Duan, Wenzhen Huang, Yan Zhou, Depeng Jin, Yong Li, Tao Jiang:
Carbon emissions and sustainability of launching 5G mobile networks in China. CoRR abs/2306.08337 (2023) - [i43]Huandong Wang, Huan Yan, Can Rong, Yuan Yuan, Fenyu Jiang, Zhenyu Han, Hongjie Sui, Depeng Jin, Yong Li:
Multi-Scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data. CoRR abs/2306.10275 (2023) - [i42]Jinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li:
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. CoRR abs/2307.09866 (2023) - [i41]Chen Gao, Xiaochong Lan, Zhihong Lu, Jinzhu Mao, Jinghua Piao, Huandong Wang, Depeng Jin, Yong Li:
S3: Social-network Simulation System with Large Language Model-Empowered Agents. CoRR abs/2307.14984 (2023) - [i40]Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li:
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. CoRR abs/2308.03470 (2023) - [i39]Yunzhu Pan, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Depeng Jin, Yong Li:
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. CoRR abs/2308.04086 (2023) - [i38]Yunzhu Pan, Nian Li, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System. CoRR abs/2308.13249 (2023) - [i37]Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li:
Alleviating Video-Length Effect for Micro-video Recommendation. CoRR abs/2308.14276 (2023) - 2022
- [j164]Shuodi Hui, Huandong Wang, Dianlei Xu, Jing Wu, Yong Li, Depeng Jin:
Distinguishing Between Smartphones and IoT Devices via Network Traffic. IEEE Internet Things J. 9(2): 1182-1196 (2022) - [j163]Fuxian Li, Jie Feng, Huan Yan, Depeng Jin, Yong Li:
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network. ACM Trans. Intell. Syst. Technol. 13(5): 81:1-81:14 (2022) - [j162]Chen Gao, Yong Li, Fuli Feng, Xiangning Chen, Kai Zhao, Xiangnan He, Depeng Jin:
Cross-domain Recommendation with Bridge-Item Embeddings. ACM Trans. Knowl. Discov. Data 16(1): 2:1-2:23 (2022) - [j161]Huandong Wang, Yong Li, Junjie Lin, Hancheng Cao, Depeng Jin:
Context-Aware Semantic Annotation of Mobility Records. ACM Trans. Knowl. Discov. Data 16(3): 47:1-47:20 (2022) - [j160]Jie Feng, Yong Li, Ziqian Lin, Can Rong, Funing Sun, Diansheng Guo, Depeng Jin:
Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency. ACM Trans. Knowl. Discov. Data 16(3): 49:1-49:21 (2022) - [j159]Jie Feng, Yong Li, Zeyu Yang, Mingyang Zhang, Huandong Wang, Hancheng Cao, Depeng Jin:
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data. IEEE Trans. Knowl. Data Eng. 34(2): 954-968 (2022) - [j158]Jie Feng, Yong Li, Zeyu Yang, Qiang Qiu, Depeng Jin:
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks. IEEE Trans. Knowl. Data Eng. 34(5): 2360-2374 (2022) - [j157]Chen Gao, Chao Huang, Donghan Yu, Haohao Fu, Tzu-Heng Lin, Depeng Jin, Yong Li:
Item Recommendation for Word-of-Mouth Scenario in Social E-Commerce. IEEE Trans. Knowl. Data Eng. 34(6): 2798-2809 (2022) - [j156]Chen Gao, Nian Li, Tzu-Heng Lin, Dongsheng Lin, Jun Zhang, Yong Li, Depeng Jin:
Social Recommendation With Characterized Regularization. IEEE Trans. Knowl. Data Eng. 34(6): 2921-2933 (2022) - [j155]Erzhuo Shao, Huandong Wang, Jie Feng, Tong Xia, Hedong Yang, Lu Geng, Depeng Jin, Yong Li:
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks. IEEE Trans. Knowl. Data Eng. 34(12): 5693-5707 (2022) - [j154]Dianlei Xu, Huandong Wang, Yong Li, Sasu Tarkoma, Depeng Jin, Pan Hui:
IoT vs. Human: A Comparison of Mobility. IEEE Trans. Mob. Comput. 21(4): 1257-1273 (2022) - [j153]Jie Feng, Yong Li, Kai Zhao, Zhao Xu, Tong Xia, Jinglin Zhang, Depeng Jin:
DeepMM: Deep Learning Based Map Matching With Data Augmentation. IEEE Trans. Mob. Comput. 21(7): 2372-2384 (2022) - [c154]Zefang Zong, Meng Zheng, Yong Li, Depeng Jin:
MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems. AAAI 2022: 9980-9988 - [c153]Fuxian Li, Huan Yan, Guangyin Jin, Yue Liu, Yong Li, Depeng Jin:
Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction. CIKM 2022: 1084-1093 - [c152]Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li:
Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks. CIKM 2022: 1209-1218 - [c151]Jun Zhang, Depeng Jin, Yong Li:
Mirage: an efficient and extensible city simulation framework (systems paper). SIGSPATIAL/GIS 2022: 16:1-16:4 - [c150]Changzheng Gao, Tao Feng, Huandong Wang, Depeng Jin, Junlan Feng, Xing Wang, Lin Zhu, Chao Deng:
A Multi-scale Ensemble Learning Model for Cellular Traffic Prediction. GLOBECOM 2022: 209-214 - [c149]Qiaohong Yu, Huandong Wang, Tong Li, Depeng Jin, Xing Wang, Lin Zhu, Junlan Feng, Chao Deng:
Network Traffic Overload Prediction with Temporal Graph Attention Convolutional Networks. ICC Workshops 2022: 885-890 - [c148]Guozhen Zhang, Zihan Yu, Depeng Jin, Yong Li:
Physics-infused Machine Learning for Crowd Simulation. KDD 2022: 2439-2449 - [c147]Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li:
Automatically Discovering User Consumption Intents in Meituan. KDD 2022: 3259-3269 - [c146]Chang Liu, Chen Gao, Yuan Yuan, Chen Bai, Lingrui Luo, Xiaoyi Du, Xinlei Shi, Hengliang Luo, Depeng Jin, Yong Li:
Modeling Persuasion Factor of User Decision for Recommendation. KDD 2022: 3366-3376 - [c145]Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin, Yong Li:
Activity Trajectory Generation via Modeling Spatiotemporal Dynamics. KDD 2022: 4752-4762 - [c144]Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang:
DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. ACM Multimedia 2022: 334-345 - [c143]Yinfeng Li, Chen Gao, Hengliang Luo, Depeng Jin, Yong Li:
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation. SIGIR 2022: 1997-2002 - [c142]Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li:
Dual Contrastive Network for Sequential Recommendation. SIGIR 2022: 2686-2691 - [c141]Guozhen Zhang, Jinwei Zeng, Zhengyue Zhao, Depeng Jin, Yong Li:
A Counterfactual Modeling Framework for Churn Prediction. WSDM 2022: 1424-1432 - [c140]Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Disentangling Long and Short-Term Interests for Recommendation. WWW 2022: 2256-2267 - [c139]Shuodi Hui, Huandong Wang, Zhenhua Wang, Xinghao Yang, Zhongjin Liu, Depeng Jin, Yong Li:
Knowledge Enhanced GAN for IoT Traffic Generation. WWW 2022: 3336-3346 - [i36]Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Disentangling Long and Short-Term Interests for Recommendation. CoRR abs/2202.13090 (2022) - [i35]Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang:
DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. CoRR abs/2208.05190 (2022) - [i34]Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li:
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction. CoRR abs/2208.06794 (2022) - [i33]Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li:
Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives. CoRR abs/2209.08446 (2022) - 2021
- [j152]Muhammad Sheraz, Manzoor Ahmed, Xueshi Hou, Yong Li, Depeng Jin, Zhu Han, Tao Jiang:
Artificial Intelligence for Wireless Caching: Schemes, Performance, and Challenges. IEEE Commun. Surv. Tutorials 23(1): 631-661 (2021) - [j151]Yuan Yuan, Muzhi Guan, Zhilun Zhou, Sundong Kim, Meeyoung Cha, Depeng Jin, Yong Li:
Disruption in Chinese E-Commerce During COVID-19. Frontiers Comput. Sci. 3: 668711 (2021) - [j150]Huandong Wang, Qiaohong Yu, Yu Liu, Depeng Jin, Yong Li:
Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(4): 184:1-184:24 (2021) - [j149]Yawen Chen, Yu Liu, Ming Zeng, Umber Saleem, Zhaoming Lu, Xiangming Wen, Depeng Jin, Zhu Han, Tao Jiang, Yong Li:
Reinforcement Learning Meets Wireless Networks: A Layering Perspective. IEEE Internet Things J. 8(1): 85-111 (2021) - [j148]Shuodi Hui, Zhenhua Wang, Xueshi Hou, Xiao Wang, Huandong Wang, Yong Li, Depeng Jin:
Systematically Quantifying IoT Privacy Leakage in Mobile Networks. IEEE Internet Things J. 8(9): 7115-7125 (2021) - [j147]Huandong Wang, Yong Li, Depeng Jin, Zhu Han:
Attentional Markov Model for Human Mobility Prediction. IEEE J. Sel. Areas Commun. 39(7): 2213-2225 (2021) - [j146]Jiaqiang Liu, Huan Yan, Yong Li, Dmytro Karamshuk, Nishanth Sastry, Di Wu, Depeng Jin:
Discovering and Understanding Geographical Video Viewing Patterns in Urban Neighborhoods. IEEE Trans. Big Data 7(5): 873-884 (2021) - [j145]Huandong Wang, Yong Li, Gang Wang, Depeng Jin:
Linking Multiple User Identities of Multiple Services from Massive Mobility Traces. ACM Trans. Intell. Syst. Technol. 12(4): 39:1-39:28 (2021) - [j144]Tong Xia, Junjie Lin, Yong Li, Jie Feng, Pan Hui, Funing Sun, Diansheng Guo, Depeng Jin:
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction. ACM Trans. Knowl. Discov. Data 15(6): 110:1-110:21 (2021) - [j143]Huandong Wang, Yong Li, Mu Du, Zhenhui Li, Depeng Jin:
App2Vec: Context-Aware Application Usage Prediction. ACM Trans. Knowl. Discov. Data 15(6): 112:1-112:21 (2021) - [j142]Huan Yan, Chunfeng Yang, Donghan Yu, Yong Li, Depeng Jin, Dah Ming Chiu:
Multi-Site User Behavior Modeling and Its Application in Video Recommendation. IEEE Trans. Knowl. Data Eng. 33(1): 180-193 (2021) - [j141]Jingtao Ding, Guanghui Yu, Xiangnan He, Fuli Feng, Yong Li, Depeng Jin:
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data. IEEE Trans. Knowl. Data Eng. 33(2): 667-681 (2021) - [j140]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song, Depeng Jin:
Learning to Recommend With Multiple Cascading Behaviors. IEEE Trans. Knowl. Data Eng. 33(6): 2588-2601 (2021) - [j139]Tong Xia, Yong Li, Yue Yu, Fengli Xu, Qingmin Liao, Depeng Jin:
Understanding Urban Dynamics via State-Sharing Hidden Markov Model. IEEE Trans. Knowl. Data Eng. 33(10): 3468-3481 (2021) - [j138]Huandong Wang, Yong Li, Chen Gao, Gang Wang, Xiaoming Tao, Depeng Jin:
Anonymization and De-Anonymization of Mobility Trajectories: Dissecting the Gaps Between Theory and Practice. IEEE Trans. Mob. Comput. 20(3): 796-815 (2021) - [j137]Huandong Wang, Sihan Zeng, Yong Li, Depeng Jin:
Predictability and Prediction of Human Mobility Based on Application-Collected Location Data. IEEE Trans. Mob. Comput. 20(7): 2457-2472 (2021) - [j136]Huan Yan, Haohao Fu, Yong Li, Tzu-Heng Lin, Gang Wang, Haitao Zheng, Depeng Jin, Ben Y. Zhao:
On Migratory Behavior in Video Consumption. IEEE Trans. Netw. Serv. Manag. 18(2): 1775-1788 (2021) - [j135]Huan Yan, Tzu-Heng Lin, Ming Zeng, Jing Wu, Yong Li, Depeng Jin:
Discovering Usage Patterns of Mobile Video Service in the Cellular Networks. IEEE Trans. Netw. Serv. Manag. 18(2): 1789-1802 (2021) - [c138]Jun Zhang, Chen Gao, Depeng Jin, Yong Li:
Group-Buying Recommendation for Social E-Commerce. ICDE 2021: 1536-1547 - [c137]Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li:
Learnable Embedding sizes for Recommender Systems. ICLR 2021 - [c136]Fengli Xu, Guozhen Zhang, Yuan Yuan, Hongjia Huang, Diyi Yang, Depeng Jin, Yong Li:
Understanding the Invitation Acceptance in Agent-initiated Social E-commerce. ICWSM 2021: 820-829 - [c135]Chen Gao, Quanming Yao, Depeng Jin, Yong Li:
Efficient Data-specific Model Search for Collaborative Filtering. KDD 2021: 415-425 - [c134]Yukun Ping, Chen Gao, Taichi Liu, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li:
User Consumption Intention Prediction in Meituan. KDD 2021: 3472-3482 - [c133]Chen Gao, Yinfeng Li, Quanming Yao, Depeng Jin, Yong Li:
Progressive Feature Interaction Search for Deep Sparse Network. NeurIPS 2021: 392-403 - [c132]Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Sequential Recommendation with Graph Neural Networks. SIGIR 2021: 378-387 - [c131]Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li:
DGCN: Diversified Recommendation with Graph Convolutional Networks. WWW 2021: 401-412 - [c130]Guozhen Zhang, Yong Li, Yuan Yuan, Fengli Xu, Hancheng Cao, Yujian Xu, Depeng Jin:
Community Value Prediction in Social E-commerce. WWW 2021: 2958-2967 - [c129]Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin:
Disentangling User Interest and Conformity for Recommendation with Causal Embedding. WWW 2021: 2980-2991 - [i32]Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li:
Learnable Embedding Sizes for Recommender Systems. CoRR abs/2101.07577 (2021) - [i31]Zhenyu Han, Fengli Xu, Yong Li, Tao Jiang, Depeng Jin, Jianhua Lu, James A. Evans:
Policy-Aware Mobility Model Explains the Growth of COVID-19 in Cities. CoRR abs/2102.10538 (2021) - [i30]Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Depeng Jin, Yong Li:
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. CoRR abs/2104.14917 (2021) - [i29]Chen Gao, Quanming Yao, Depeng Jin, Yong Li:
Efficient Data-specific Model Search for Collaborative Filtering. CoRR abs/2106.07453 (2021) - [i28]Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Sequential Recommendation with Graph Neural Networks. CoRR abs/2106.14226 (2021) - [i27]Zefang Zong, Tao Feng, Tong Xia, Depeng Jin, Yong Li:
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey. CoRR abs/2108.04462 (2021) - [i26]Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li:
DGCN: Diversified Recommendation with Graph Convolutional Networks. CoRR abs/2108.06952 (2021)