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2020 – today
- 2023
[j67]Xuhong Li, Haoyi Xiong
, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou:
G-LIME: Statistical learning for local interpretations of deep neural networks using global priors. Artif. Intell. 314: 103823 (2023)- [j66]Jianqiu Wu, Hongyang Chen, Minhao Cheng, Haoyi Xiong:
CurvAGN: Curvature-based Adaptive Graph Neural Networks for Predicting Protein-Ligand Binding Affinity. BMC Bioinform. 24(1): 378 (2023) - [j65]Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo:
AA-forecast: anomaly-aware forecast for extreme events. Data Min. Knowl. Discov. 37(3): 1209-1229 (2023) - [j64]Haoyi Xiong, Xun Zhou, David A. Bennett:
Detecting spatiotemporal propagation patterns of traffic congestion from fine-grained vehicle trajectory data. Int. J. Geogr. Inf. Sci. 37(5): 1157-1179 (2023) - [j63]Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou:
Cross-model consensus of explanations and beyond for image classification models: an empirical study. Mach. Learn. 112(5): 1627-1662 (2023) - [j62]Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou:
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models. Mach. Learn. 112(6): 2193-2209 (2023) - [j61]Xingjian Li, Abulikemu Abuduweili, Humphrey Shi, Pengkun Yang, Dejing Dou, Haoyi Xiong, Chengzhong Xu:
Semi-supervised transfer learning with hierarchical self-regularization. Pattern Recognit. 144: 109831 (2023) - [j60]Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou:
Data Placement for Multi-Tenant Data Federation on the Cloud. IEEE Trans. Cloud Comput. 11(2): 1414-1429 (2023) - [j59]Nicholas Gray, Megan Moraes, Jiang Bian, Alex Wang, Allen Tian, Kurt M. Wilson, Yan Huang, Haoyi Xiong, Zhishan Guo:
GLARE: A Dataset for Traffic Sign Detection in Sun Glare. IEEE Trans. Intell. Transp. Syst. 24(11): 12323-12330 (2023) - [j58]Jindong Han, Hao Liu, Haoyi Xiong, Jing Yang:
Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35(5): 5230-5243 (2023) - [j57]Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin:
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search. IEEE Trans. Knowl. Data Eng. 35(12): 12542-12555 (2023) - [j56]Jiang Bian, Haoyi Xiong, Zhiyuan Wang, Jingbo Zhou, Shilei Ji, Hongyang Chen, Daqing Zhang, Dejing Dou:
$\mathcal {AFCS}:$AFCS: Aggregation-Free Spatial-Temporal Mobile Community Sensing. IEEE Trans. Mob. Comput. 22(9): 5017-5034 (2023) - [j55]Jiamin Chen, Xuhong Li, Lei Yu, Dejing Dou, Haoyi Xiong:
Beyond Intuition: Rethinking Token Attributions inside Transformers. Trans. Mach. Learn. Res. 2023 (2023) - [j54]Xingjian Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou:
SMILE: Sample-to-feature Mixup for Efficient Transfer Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j53]En Wang, Mijia Zhang, Wenbin Liu, Haoyi Xiong, Bo Yang, Yongjian Yang, Jie Wu:
Outlier-Concerned Data Completion Exploiting Intra- and Inter-Data Correlations in Sparse CrowdSensing. IEEE/ACM Trans. Netw. 31(2): 648-663 (2023) - [j52]Jiang Bian, Jizhou Huang, Shilei Ji, Yuan Liao, Xuhong Li, Qingzhong Wang, Jingbo Zhou, Dejing Dou, Yaqing Wang, Haoyi Xiong:
Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation. IEEE Trans. Serv. Comput. 16(5): 3361-3372 (2023) - [c62]Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou:
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features. AAAI 2023: 8041-8049 - [c61]Jiamin Chen, Xuhong Li, Junting Xi, Lei Yu, Haoyi Xiong:
Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification. ClinicalNLP@ACL 2023: 403-413 - [c60]Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin:
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search. DSAA 2023: 1-2 - [c59]Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou:
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution. ICDE 2023: 1611-1624 - [c58]Yuxuan Zhang, Qingzhong Wang, Jiang Bian, Yi Liu, Yanwu Xu, Dejing Dou, Haoyi Xiong:
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-Based Video Classification Frameworks. ISBI 2023: 1-5 - [c57]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. KDD 2023: 4262-4272 - [c56]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. KDD 2023: 4437-4448 - [c55]Zeren Zhang, Xingjian Li, Tao Hong, Tianyang Wang, Jinwen Ma, Haoyi Xiong, Cheng-Zhong Xu:
Overcoming Catastrophic Forgetting for Fine-Tuning Pre-trained GANs. ECML/PKDD (5) 2023: 293-308 - [c54]Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin:
LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search. ECML/PKDD (6) 2023: 635-651 - [i64]Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou:
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution. CoRR abs/2301.02068 (2023) - [i63]Yuxuan Zhang, Qingzhong Wang, Jiang Bian, Yi Liu, Yanwu Xu, Dejing Dou, Haoyi Xiong:
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-based Video Classification Frameworks. CoRR abs/2302.12688 (2023) - [i62]Haoyi Xiong, Xuhong Li, Boyang Yu, Zhanxing Zhu, Dongrui Wu, Dejing Dou:
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability. CoRR abs/2304.00320 (2023) - [i61]Wenke Xia, Xingjian Li, Andong Deng, Haoyi Xiong, Dejing Dou, Di Hu:
Robust Cross-Modal Knowledge Distillation for Unconstrained Videos. CoRR abs/2304.07775 (2023) - [i60]Haoyi Xiong, Jiang Bian, Sijia Yang, Xiaofei Zhang, Linghe Kong, Daqing Zhang:
Natural Language based Context Modeling and Reasoning with LLMs: A Tutorial. CoRR abs/2309.15074 (2023) - [i59]Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou:
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts. CoRR abs/2310.02000 (2023) - [i58]Weibin Liao, Xuhong Li, Qingzhong Wang, Yanwu Xu, Zhaozheng Yin, Haoyi Xiong:
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation. CoRR abs/2310.03981 (2023) - [i57]Song Zhang, Qingzhong Wang, Jiang Bian, Haoyi Xiong:
TiC: Exploring Vision Transformer in Convolution. CoRR abs/2310.04134 (2023) - 2022
- [j51]Sijia Yang, Haoyi Xiong, Yunchao Zhang, Yi Ling, Licheng Wang, Kaibo Xu, Zeyi Sun:
OGM: Online gaussian graphical models on the fly. Appl. Intell. 52(3): 3103-3117 (2022) - [j50]Qingzhong Wang, Pengfei Zhang, Haoyi Xiong, Jian Zhao:
Face.evoLVe: A cross-platform library for high-performance face analytics. Neurocomputing 494: 443-445 (2022) - [j49]Jiang Bian, Abdullah Al Arafat, Haoyi Xiong, Jing Li, Li Li, Hongyang Chen, Jun Wang, Dejing Dou, Zhishan Guo:
Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey. IEEE Internet Things J. 9(11): 8364-8386 (2022) - [j48]Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Daqing Zhang, Laura E. Barnes, Dejing Dou:
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. IEEE Internet Things J. 9(17): 15413-15434 (2022) - [j47]Jie Zhang, Yang Li, Haoyi Xiong, Dejing Dou, Chunyan Miao, Daqing Zhang:
HandGest: Hierarchical Sensing for Robust-in-the-Air Handwriting Recognition With Commodity WiFi Devices. IEEE Internet Things J. 9(19): 19529-19544 (2022) - [j46]Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Zeyu Chen, Dejing Dou:
InterpretDL: Explaining Deep Models in PaddlePaddle. J. Mach. Learn. Res. 23: 197:1-197:6 (2022) - [j45]Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou:
From distributed machine learning to federated learning: a survey. Knowl. Inf. Syst. 64(4): 885-917 (2022) - [j44]Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou:
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond. Knowl. Inf. Syst. 64(12): 3197-3234 (2022) - [j43]Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dejing Dou, Dongrui Wu:
Exploring the common principal subspace of deep features in neural networks. Mach. Learn. 111(3): 1125-1157 (2022) - [j42]Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou:
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization. Neural Process. Lett. 54(6): 4735-4749 (2022) - [j41]Sudharsan Vaidhun, Zhishan Guo, Jiang Bian, Haoyi Xiong, Sajal K. Das:
Dynamic Path Planning for Unmanned Aerial Vehicles Under Deadline and Sector Capacity Constraints. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 839-851 (2022) - [j40]Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Ji Liu, Cheng-Zhong Xu, Dejing Dou:
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks. ACM Trans. Knowl. Discov. Data 16(3): 42:1-42:20 (2022) - [j39]Haoyi Xiong, Ruosi Wan, Jian Zhao, Zeyu Chen, Xingjian Li, Zhanxing Zhu, Jun Huan:
GrOD: Deep Learning with Gradients Orthogonal Decomposition for Knowledge Transfer, Distillation, and Adversarial Training. ACM Trans. Knowl. Discov. Data 16(6): 117:1-117:25 (2022) - [j38]Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Jie Fu, Yang Cao, Yu Kang, Haifeng Wang:
Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning. Trans. Mach. Learn. Res. 2022 (2022) - [c53]Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang:
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators. AAAI 2022: 8892-8900 - [c52]Siyu Huang, Haoyi Xiong, Tianyang Wang, Bihan Wen, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou:
Parameter-Free Style Projection for Arbitrary Image Style Transfer. ICASSP 2022: 2070-2074 - [c51]En Wang, Mijia Zhang, Yuanbo Xu, Haoyi Xiong, Yongjian Yang:
Spatiotemporal Fracture Data Inference in Sparse Urban CrowdSensing. INFOCOM 2022: 1499-1508 - [c50]Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou:
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts. MICCAI (8) 2022: 151-161 - [c49]Yaqing Wang, Xin Tian, Haoyi Xiong, Yueyang Li, Zeyu Chen, Sheng Guo, Dejing Dou:
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning. NAACL-HLT (Findings) 2022: 1078-1084 - [c48]Yuchen Li, Haoyi Xiong, Linghe Kong, Rui Zhang, Dejing Dou, Guihai Chen:
Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs. ECML/PKDD (6) 2022: 302-317 - [c47]Lutao Chu, Yi Liu, Zewu Wu, Shiyu Tang, Guowei Chen, Yuying Hao, Juncai Peng, Zhiliang Yu, Zeyu Chen, Baohua Lai, Haoyi Xiong:
PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset. WACV (Workshops) 2022: 202-209 - [i56]Xueying Zhan, Qingzhong Wang, Kuan-Hao Huang, Haoyi Xiong, Dejing Dou, Antoni B. Chan:
A Comparative Survey of Deep Active Learning. CoRR abs/2203.13450 (2022) - [i55]Liang Shen, Zhihua Wu, Weibao Gong, Hongxiang Hao, Yangfan Bai, HuaChao Wu, Xinxuan Wu, Haoyi Xiong, Dianhai Yu, Yanjun Ma:
SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training and Inference System. CoRR abs/2205.10034 (2022) - [i54]Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Jingbo Zhou, Dawei Yin, Dejing Dou:
Practical Strategies of Active Learning to Rank for Web Search. CoRR abs/2205.10137 (2022) - [i53]Fei Wu, Qingzhong Wang, Jian Bian, Haoyi Xiong, Ning Ding, Feixiang Lu, Jun Cheng, Dejing Dou:
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications. CoRR abs/2206.01038 (2022) - [i52]Xueying Zhan, Ze-yu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan:
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios. CoRR abs/2207.01190 (2022) - [i51]Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou:
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models. CoRR abs/2207.03335 (2022) - [i50]Jiang Bian, Qingzhong Wang, Haoyi Xiong, Jun Huang, Chen Liu, Xuhong Li, Jun Cheng, Jun Zhao, Feixiang Lu, Dejing Dou:
P2A: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos. CoRR abs/2207.12730 (2022) - [i49]Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo:
AA-Forecast: Anomaly-Aware Forecast for Extreme Events. CoRR abs/2208.09933 (2022) - [i48]Nicholas Gray, Megan Moraes, Jiang Bian, Allen Tian, Alex Wang, Haoyi Xiong, Zhishan Guo:
GLARE: A Dataset for Traffic Sign Detection in Sun Glare. CoRR abs/2209.08716 (2022) - [i47]Yuying Hao, Yi Liu, Juncai Peng, Haoyi Xiong, Guowei Chen, Shiyu Tang, Zeyu Chen, Baohua Lai:
RAIS: Robust and Accurate Interactive Segmentation via Continual Learning. CoRR abs/2210.10984 (2022) - [i46]Junde Wu, Huihui Fang, Yehui Yang, Yu Zhang, Haoyi Xiong, Huazhu Fu, Yanwu Xu:
ExpNet: A unified network for Expert-Level Classification. CoRR abs/2211.15672 (2022) - [i45]Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou:
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features. CoRR abs/2212.09321 (2022) - [i44]Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou:
Temporal Output Discrepancy for Loss Estimation-based Active Learning. CoRR abs/2212.10613 (2022) - 2021
- [j37]Sijia Yang, Haoyi Xiong, Kaibo Xu, Licheng Wang, Jiang Bian, Zeyi Sun:
Improving covariance-regularized discriminant analysis for EHR-based predictive analytics of diseases. Appl. Intell. 51(1): 377-395 (2021) - [j36]Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu:
SenseMag: Enabling Low-Cost Traffic Monitoring Using Noninvasive Magnetic Sensing. IEEE Internet Things J. 8(22): 16666-16679 (2021) - [j35]Sijia Yang, Haoyi Xiong, Di Hu, Kaibo Xu, Licheng Wang, Peizhen Zhu, Zeyi Sun:
Generalising combinatorial discriminant analysis through conditioning truncated Rayleigh flow. Knowl. Inf. Syst. 63(8): 2189-2208 (2021) - [j34]Junjie Shi, Jiang Bian, Jakob Richter, Kuan-Hsun Chen, Jörg Rahnenführer, Haoyi Xiong, Jian-Jia Chen:
MODES: model-based optimization on distributed embedded systems. Mach. Learn. 110(6): 1527-1547 (2021) - [j33]Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou:
AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow. Mach. Learn. 110(8): 2131-2150 (2021) - [j32]Yunchao Zhang, Zeyi Sun, Ruwen Qin, Haoyi Xiong:
Idle Duration Prediction for Manufacturing System Using a Gaussian Mixture Model Integrated Neural Network for Energy Efficiency Improvement. IEEE Trans Autom. Sci. Eng. 18(1): 47-55 (2021) - [j31]Jiang Bian, Sijia Yang, Haoyi Xiong, Licheng Wang, Yanjie Fu, Zeyi Sun, Zhishan Guo, Jun Wang:
CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 541-553 (2021) - [j30]Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Cheng-Zhong Xu, Dejing Dou:
"In-Network Ensemble": Deep Ensemble Learning with Diversified Knowledge Distillation. ACM Trans. Intell. Syst. Technol. 12(5): 63:1-63:19 (2021) - [j29]Kafeng Wang, Haoyi Xiong, Jiang Bian, Zhanxing Zhu, Qian Gao, Zhishan Guo, Cheng-Zhong Xu, Jun Huan, Dejing Dou:
Sampling Sparse Representations with Randomized Measurement Langevin Dynamics. ACM Trans. Knowl. Discov. Data 15(2): 21:1-21:21 (2021) - [j28]Baoxin Zhao, Haoyi Xiong, Jiang Bian, Zhishan Guo, Cheng-Zhong Xu, Dejing Dou:
COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut. IEEE Trans. Multim. 23: 1722-1730 (2021) - [c46]Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou:
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak. AAAI 2021: 4892-4900 - [c45]Chao Zhang, Jingbo Zhou, Xiaoling Zang, Qing Xu, Liang Yin, Xiang He, Lin Liu, Haoyi Xiong, Dejing Dou:
CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge. CIKM 2021: 4352-4361 - [c44]Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou:
Semi-Supervised Active Learning with Temporal Output Discrepancy. ICCV 2021: 3427-3436 - [c43]Ji Liu, Haoyi Xiong, Xiakai Wang, Jizhou Huang, Qiaojun Li, Tongtong Huang, Siyu Huang, Haifeng Wang, Dejing Dou:
An Investigation of Containment Measure Implementation and Public Responses to the COVID-19 Pandemic in Mainland China. ICDH 2021: 234-243 - [c42]Xiao Zhang, Haoyi Xiong, Dongrui Wu:
Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs. IJCAI 2021: 3392-3398 - [c41]Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong:
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity. KDD 2021: 975-985 - [c40]Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong:
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. KDD 2021: 3289-3298 - [i43]Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou:
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond. CoRR abs/2103.10689 (2021) - [i42]Xingjian Li, Haoyi Xiong, Chengzhong Xu, Dejing Dou:
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning. CoRR abs/2103.13941 (2021) - [i41]Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou:
From Distributed Machine Learning to Federated Learning: A Survey. CoRR abs/2104.14362 (2021) - [i40]Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong:
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. CoRR abs/2106.01674 (2021) - [i39]Xiao Zhang, Dongrui Wu, Haoyi Xiong, Bo Dai:
Optimization Variance: Exploring Generalization Properties of DNNs. CoRR abs/2106.01714 (2021) - [i38]Xuanyu Wu, Xuhong Li, Haoyi Xiong, Xiao Zhang, Siyu Huang, Dejing Dou:
Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples. CoRR abs/2106.10653 (2021) - [i37]Haiyan Jiang, Shuyu Li, Luwei Zhang, Haoyi Xiong, Dejing Dou:
Robust Matrix Factorization with Grouping Effect. CoRR abs/2106.13681 (2021) - [i36]Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Laura E. Barnes, Daqing Zhang:
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. CoRR abs/2107.00948 (2021) - [i35]Qingzhong Wang, Pengfei Zhang, Haoyi Xiong, Jian Zhao:
Face.evoLVe: A High-Performance Face Recognition Library. CoRR abs/2107.08621 (2021) - [i34]Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong:
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity. CoRR abs/2107.10670 (2021) - [i33]Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou:
Semi-Supervised Active Learning with Temporal Output Discrepancy. CoRR abs/2107.14153 (2021) - [i32]Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou:
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study. CoRR abs/2109.00707 (2021) - [i31]Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Yang Cao, Yu Kang, Haifeng Wang:
Do What Nature Did To Us: Evolving Plastic Recurrent Neural Networks For Task Generalization. CoRR abs/2109.03554 (2021) - [i30]Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang:
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators. CoRR abs/2109.10259 (2021) - [i29]Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dongrui Wu, Dejing Dou:
Exploring the Common Principal Subspace of Deep Features in Neural Networks. CoRR abs/2110.02863 (2021) - [i28]Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou:
AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow. CoRR abs/2110.03273 (2021) - [i27]Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu:
SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing. CoRR abs/2110.12377 (2021) - [i26]Lutao Chu, Yi Liu, Zewu Wu, Shiyu Tang, Guowei Chen, Yuying Hao, Juncai Peng, Zhiliang Yu, Zeyu Chen, Baohua Lai, Haoyi Xiong:
PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset. CoRR abs/2112.07146 (2021) - [i25]Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou:
Data Placement for Multi-Tenant Data Federation on the Cloud. CoRR abs/2112.07980 (2021) - 2020
- [j27]Yongliang Yang, Zhijie Liu, Haoyi Xiong, Yixin Yin:
Adaptive singularity-free controller design of constrained nonlinear systems with prescribed performance. Neurocomputing 417: 212-223 (2020) - [j26]