Peilin Zhao - RankMe

355 papers A* 119A 22C 2Journal 191Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CrystalDiT: Simple Diffusion Transformers for Crystal Generation. AAAI Xiaohan Yi, Guikun Xu, Zhong Zhang, Liu Liu, Yatao Bian, Xi Xiao, Peilin Zhao
2026	J	`jnl`	DrugBLIP: exploring the protein-molecule interaction mechanisms with a multi-task learning graph transformer. Bioinform. Rubo Wang, Xingyu Gao, Peilin Zhao
2026	J	`jnl`	Multi-Stage Cross-Modality Feature Interaction for RGB-Thermal Multi-Object Tracking. IEEE Trans. Circuits Syst. Video Technol. Jianbo Ma, Hui Luo, Shuaicheng Niu, Peilin Zhao, Yunfeng Liu, Yuxing Wei, Jianlin Zhang
2026	J	`jnl`	Proximity-Based Multi-Turn Optimization: Practical Credit Assignment for LLM Agent Training. CoRR Yangyi Fang, Jiaye Lin, Xiaoliang Fu, Cong Qin, Haolin Shi, Chang Liu, Peilin Zhao
2025	J	`jnl`	3D Point Cloud Generation via Autoregressive Up-sampling. CoRR Ziqiao Meng, Qichao Wang, Zhipeng Zhou, Irwin King, Peilin Zhao
2025	J	`jnl`	A Unified Framework for Bandit Online Multiclass Prediction. IEEE Trans. Knowl. Data Eng. Wanjin Feng, Xingyu Gao, Peilin Zhao, Steven C. H. Hoi
2025	J	`jnl`	Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization. CoRR Shuaicheng Niu, Guohao Chen, Deyu Chen, Yifan Zhang, Jiaxiang Wu, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Chunyan Miao, Mingkui Tan
2025	J	`jnl`	Are Large Language Models Really Robust to Word-Level Perturbations? Trans. Mach. Learn. Res. Haoyu Wang, Guozheng Ma, Cong Yu, Ning Gui, Linrui Zhang, Zhiqi Huang, Suwei Ma, Yongzhe Chang, Sen Zhang, Li Shen, Xueqian Wang, Peilin Zhao, Dacheng Tao
2025	A*	`conf`	COME: Test-time Adaption by Conservatively Minimizing Entropy. ICLR Qingyang Zhang, Yatao Bian, Xinke Kong, Peilin Zhao, Changqing Zhang
2025	J	`jnl`	Continual Optimization with Symmetry Teleportation for Multi-Task Learning. CoRR Zhipeng Zhou, Ziqiao Meng, Pengcheng Wu, Peilin Zhao, Chunyan Miao
2025	J	`jnl`	CrystalDiT: A Diffusion Transformer for Crystal Generation. CoRR Xiaohan Yi, Guikun Xu, Xi Xiao, Zhong Zhang, Liu Liu, Yatao Bian, Peilin Zhao
2025	J	`jnl`	Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback. CoRR Mengdi Li, Jiaye Lin, Xufeng Zhao, Wenhao Lu, Peilin Zhao, Stefan Wermter, Di Wang
2025	J	`jnl`	Efficient Distributed Sparse Relative Similarity Learning. ACM Trans. Knowl. Discov. Data Dezhong Yao, Sanmu Li, Zhiwei Wang, Peilin Zhao, Gang Wu, Chen Yu, Hai Jin
2025	A*	`conf`	Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity. ICML Wanjin Feng, Xingyu Gao, Wenqian Du, Hailong Shi, Peilin Zhao, Pengcheng Wu, Chunyan Miao
2025	J	`jnl`	Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity. CoRR Wanjin Feng, Xingyu Gao, Wenqian Du, Hailong Shi, Peilin Zhao, Pengcheng Wu, Chunyan Miao
2025	J	`jnl`	Energy-Guided Flow Matching Enables Few-Step Conformer Generation and Ground-State Identification. CoRR Guikun Xu, Xiaohan Yi, Peilin Zhao, Yatao Bian
2025	J	`jnl`	Enhancing Jailbreak Attacks on LLMs via Persona Prompts. CoRR Zheng Zhang, Peilin Zhao, Deheng Ye, Hao Wang
2025	J	`jnl`	Fast and Accurate Antibody Sequence Design via Structure Retrieval. CoRR Xingyi Zhang, Kun Xie, Ningqiao Huang, Wei Liu, Peilin Zhao, Sibo Wang, Kangfei Zhao, Biaobin Jiang
2025	J	`jnl`	FedHM: Efficient federated learning for heterogeneous models via low-rank factorization. Artif. Intell. Dezhong Yao, Wanning Pan, Yuexin Shi, Michael J. O'Neill, Yutong Dai, Yao Wan, Peilin Zhao, Hai Jin, Limin Sun
2025	J	`jnl`	Genesis: Evolving Attack Strategies for LLM Web Agent Red-Teaming. CoRR Zheng Zhang, Jiarui He, Yuchen Cai, Deheng Ye, Peilin Zhao, Ruili Feng, Hao Wang
2025	A*	`conf`	HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting. AAAI Shibo Feng, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen
2025	J	`jnl`	HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting. CoRR Shibo Feng, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen
2025	—	`conf`	Hexagon-Net: Heterogeneous Cross-View Aligned Graph Attention Networks for Implied Volatility Surface Prediction. KDD (2) Kaiwei Liang, Ruirui Liu, Huichou Huang, Johannes Ruf, Peilin Zhao, Qingyao Wu
2025	A*	`conf`	IgGM: A Generative Model for Functional Antibody and Nanobody Design. ICLR Rubo Wang, Fandi Wu, Xingyu Gao, Jiaxiang Wu, Peilin Zhao, Jianhua Yao
2025	A*	`conf`	Injecting Imbalance Sensitivity for Multi-Task Learning. IJCAI Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong
2025	J	`jnl`	Injecting Imbalance Sensitivity for Multi-Task Learning. CoRR Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong
2025	J	`jnl`	Inverse Materials Design by Large Language Model-Assisted Generative Framework. CoRR Yun Hao, Che Fan, Beilin Ye, Wenhao Lu, Zhen Lu, Peilin Zhao, Zhifeng Gao, Qingyao Wu, Yanhui Liu, Tongqi Wen
2025	J	`jnl`	Leading the Follower: Learning Persuasive Agents in Social Deduction Games. CoRR Zhang Zheng, Deheng Ye, Peilin Zhao, Hao Wang
2025	A*	`conf`	Learning Long-Range Action Representation by Two-Stream Mamba Pyramid Network for Figure Skating Assessment. ACM Multimedia Fengshun Wang, Qiurui Wang, Peilin Zhao
2025	J	`jnl`	Learning Long-Range Action Representation by Two-Stream Mamba Pyramid Network for Figure Skating Assessment. CoRR Fengshun Wang, Qiurui Wang, Peilin Zhao
2025	J	`jnl`	MGCP: A Multi-Grained Correlation based Prediction Network for multivariate time series. Neurocomputing Zhicheng Chen, Xi Xiao, Ke Xu, Zhong Zhang, Yu Rong, Qing Li, Guojun Gan, Zhiqiang Xu, Peilin Zhao
2025	J	`jnl`	MSDformer: Multi-scale Discrete Transformer For Time Series Generation. CoRR Zhicheng Chen, Shibo Feng, Xi Xiao, Zhong Zhang, Qing Li, Xingyu Gao, Peilin Zhao
2025	A*	`conf`	Measuring Diversity in Synthetic Datasets. ICML Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian
2025	J	`jnl`	Measuring Diversity in Synthetic Datasets. CoRR Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian
2025	J	`jnl`	Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP. CoRR Yuxin Pan, Zhiguang Cao, Chengyang Gu, Liu Liu, Peilin Zhao, Yize Chen, Fangzhen Lin
2025	A*	`conf`	NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction. ICML Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao
2025	J	`jnl`	NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction. CoRR Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao
2025	J	`jnl`	Online parallel multi-task relationship learning via alternating direction method of multipliers. Neurocomputing Ruiyu Li, Peilin Zhao, Guangxia Li, Zhiqiang Xu, Xuewei Li
2025	A*	`conf`	Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples. ICML Chengqian Gao, Haonan Li, Liu Liu, Zeke Xie, Peilin Zhao, Zhiqiang Xu
2025	J	`jnl`	Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples. CoRR Chengqian Gao, Haonan Li, Liu Liu, Zeke Xie, Peilin Zhao, Zhiqiang Xu
2025	J	`jnl`	Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization. CoRR Qingyang Zhang, Haitao Wu, Changqing Zhang, Peilin Zhao, Yatao Bian
2025	A*	`conf`	Scaling Diffusion Language Models via Adaptation from Autoregressive Models. ICLR Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong
2025	J	`jnl`	Scribble-Supervised Video Object Segmentation via Scribble Enhancement. IEEE Trans. Circuits Syst. Video Technol. Xingyu Gao, Zuolei Li, Hailong Shi, Zhenyu Chen, Peilin Zhao
2025	A*	`conf`	Self-Bootstrapping for Versatile Test-Time Adaptation. ICML Shuaicheng Niu, Guohao Chen, Peilin Zhao, Tianyi Wang, Pengcheng Wu, Zhiqi Shen
2025	J	`jnl`	Self-Bootstrapping for Versatile Test-Time Adaptation. CoRR Shuaicheng Niu, Guohao Chen, Peilin Zhao, Tianyi Wang, Pengcheng Wu, Zhiqi Shen
2025	A*	`conf`	Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models. ICLR Fushuo Huo, Wenchao Xu, Zhong Zhang, Haozhao Wang, Zhicheng Chen, Peilin Zhao
2025	J	`jnl`	SeqPE: Transformer with Sequential Position Encoding. CoRR Huayang Li, Yahui Liu, Hongyu Sun, Deng Cai, Leyang Cui, Wei Bi, Peilin Zhao, Taro Watanabe
2025	A*	`conf`	Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model. AAAI Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
2025	A*	`conf`	TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting. ICLR Shibo Feng, Wanjin Feng, Xingyu Gao, Peilin Zhao, Zhiqi Shen
2025	J	`jnl`	TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting. CoRR Shibo Feng, Wanjin Feng, Xingyu Gao, Peilin Zhao, Zhiqi Shen
2025	—	`conf`	Tackling Non-Stationarity in HVAC Control with TimeGPT-Enhanced Deep Reinforcement Learning. BuildSys Jiatong Li, Bokai Ji, Guangxia Li, Peilin Zhao, Liu Liu, Zhigang Ren
2025	A*	`conf`	Test-time Adapted Reinforcement Learning with Action Entropy Regularization. ICML Shoukai Xu, Zihao Lian, Mingkui Tan, Liu Liu, Zhong Zhang, Peilin Zhao
2025	—	`conf`	Thermal-Delay Aware Deep Reinforcement Learning for HVAC System Control. BuildSys Jiatong Li, Bokai Ji, Guangxia Li, Peilin Zhao, Liu Liu, Zhigang Ren
2025	J	`jnl`	Uncertainty-Calibrated Test-Time Model Adaptation Without Forgetting. IEEE Trans. Pattern Anal. Mach. Intell. Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, Shuaicheng Niu
2024	A	`conf`	A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference. CIKM Yupeng Fang, Ruirui Liu, Huichou Huang, Peilin Zhao, Qingyao Wu
2024	J	`jnl`	COME: Test-time adaption by Conservatively Minimizing Entropy. CoRR Qingyang Zhang, Yatao Bian, Xinke Kong, Peilin Zhao, Changqing Zhang
2024	—	`conf`	DFWLayer: Differentiable Frank-Wolfe Optimization Layer. Tiny Papers @ ICLR Zixuan Liu, Liu Liu, Xueqian Wang, Peilin Zhao
2024	A*	`conf`	Enhancing Neural Subset Selection: Integrating Background Information into Set Representations. ICLR Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng
2024	J	`jnl`	Enhancing Neural Subset Selection: Integrating Background Information into Set Representations. CoRR Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng
2024	J	`jnl`	Equivariant Line Graph Neural Network for Protein-Ligand Binding Affinity Prediction. IEEE J. Biomed. Health Informatics Yiqiang Yi, Xu Wan, Kangfei Zhao, Le Ou-Yang, Peilin Zhao
2024	J	`jnl`	Exploring the Generalization Capabilities of AID-based Bi-level Optimization. CoRR Congliang Chen, Li Shen, Zhiqiang Xu, Wei Liu, Zhi-Quan Luo, Peilin Zhao
2024	J	`jnl`	Invariant Test-Time Adaptation for Vision-Language Model Generalization. CoRR Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
2024	A*	`conf`	LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay. EMNLP Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang
2024	A*	`conf`	Latent Diffusion Transformer for Probabilistic Time Series Forecasting. AAAI Shibo Feng, Chunyan Miao, Zhong Zhang, Peilin Zhao
2024	J	`jnl`	MARS: a motif-based autoregressive model for retrosynthesis prediction. Bioinform. Jiahan Liu, Chaochao Yan, Yang Yu, Chan Lu, Junzhou Huang, Le Ou-Yang, Peilin Zhao
2024	J	`jnl`	MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series. CoRR Zhicheng Chen, Xi Xiao, Ke Xu, Zhong Zhang, Yu Rong, Qing Li, Guojun Gan, Zhiqiang Xu, Peilin Zhao
2024	A*	`conf`	Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization. ICML Yichen Wu, Hong Wang, Peilin Zhao, Yefeng Zheng, Ying Wei, Long-Kai Huang
2024	A*	`conf`	Mitigating Sample Selection Bias with Robust Domain Adaption in Multimedia Recommendation. ACM Multimedia Jiaye Lin, Qing Li, Guorui Xie, Zhongxu Guan, Yong Jiang, Ting Xu, Zhong Zhang, Peilin Zhao
2024	J	`jnl`	Multi-Scale Attention Flow for Probabilistic Time Series Forecasting. IEEE Trans. Knowl. Data Eng. Shibo Feng, Chunyan Miao, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Yang Zhang, Peilin Zhao
2024	J	`jnl`	Online Parallel Multi-Task Relationship Learning via Alternating Direction Method of Multipliers. CoRR Ruiyu Li, Peilin Zhao, Guangxia Li, Zhiqiang Xu, Xuewei Li
2024	A*	`conf`	Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution. ICLR Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong
2024	J	`jnl`	Probing the Safety Response Boundary of Large Language Models via Unsafe Decoding Path Generation. CoRR Haoyu Wang, Bingzhe Wu, Yatao Bian, Yongzhe Chang, Xueqian Wang, Peilin Zhao
2024	A*	`conf`	SDformer: Similarity-driven Discrete Transformer For Time Series Generation. NeurIPS Zhicheng Chen, Shibo Feng, Zhong Zhang, Xi Xiao, Xingyu Gao, Peilin Zhao
2024	A*	`conf`	SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases. ICLR Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
2024	J	`jnl`	Scaling Diffusion Language Models via Adaptation from Autoregressive Models. CoRR Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong
2024	J	`jnl`	Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models. CoRR Fushuo Huo, Wenchao Xu, Zhong Zhang, Haozhao Wang, Zhicheng Chen, Peilin Zhao
2024	J	`jnl`	Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping. CoRR Haoyu Wang, Guozheng Ma, Ziqiao Meng, Zeyu Qin, Li Shen, Zhong Zhang, Bingzhe Wu, Liu Liu, Yatao Bian, Tingyang Xu, Xueqian Wang, Peilin Zhao
2024	A	`conf`	TLRec: A Transfer Learning Framework to Enhance Large Language Models for Sequential Recommendation Tasks. RecSys Jiaye Lin, Shuang Peng, Zhong Zhang, Peilin Zhao
2024	A*	`conf`	Test-Time Model Adaptation with Only Forward Passes. ICML Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao
2024	J	`jnl`	Test-Time Model Adaptation with Only Forward Passes. CoRR Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao
2024	A*	`conf`	Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations. IJCAI Ziqiao Meng, Liang Zeng, Zixing Song, Tingyang Xu, Peilin Zhao, Irwin King
2024	J	`jnl`	Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting. CoRR Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, Shuaicheng Niu
2024	J	`jnl`	Variational Bayes for Federated Continual Learning. CoRR Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan Hu, Peilin Zhao, Lichao Sun
2024	—	`conf`	WatME: Towards Lossless Watermarking Through Lexical Redundancy. ACL (1) Liang Chen, Yatao Bian, Yang Deng, Deng Cai, Shuaiyi Li, Peilin Zhao, Kam-Fai Wong
2023	J	`jnl`	A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu
2023	A*	`conf`	A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges. IJCAI Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King
2023	J	`jnl`	A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges. CoRR Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King
2023	J	`jnl`	Adapting Large Language Models for Content Moderation: Pitfalls in Data Engineering and Supervised Fine-tuning. CoRR Huan Ma, Changqing Zhang, Huazhu Fu, Peilin Zhao, Bingzhe Wu
2023	J	`jnl`	Are Large Language Models Really Robust to Word-Level Perturbations? CoRR Haoyu Wang, Guozheng Ma, Cong Yu, Ning Gui, Linrui Zhang, Zhiqi Huang, Suwei Ma, Yongzhe Chang, Sen Zhang, Li Shen, Xueqian Wang, Peilin Zhao, Dacheng Tao
2023	—	`conf`	Attention Paper: How Generative AI Reshapes Digital Shadow Industry? ACM TUR-C Qichao Wang, Huan Ma, Wentao Wei, Hangyu Li, Changqing Zhang, Peilin Zhao, Binwen Zhao, Bo Hu, Shu Zhang, Bingzhe Wu, Liang Chen
2023	J	`jnl`	Attention Paper: How Generative AI Reshapes Digital Shadow Industry? CoRR Qichao Wang, Huan Ma, Wentao Wei, Hangyu Li, Liang Chen, Peilin Zhao, Binwen Zhao, Bo Hu, Shu Zhang, Zibin Zheng, Bingzhe Wu
2023	A*	`conf`	BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion. ICLR Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao
2023	A*	`conf`	Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition. CVPR Zhipeng Zhou, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Wei Gong
2023	A*	`conf`	Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract). ICDE Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan
2023	A*	`conf`	Curriculum Graph Poisoning. WWW Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu
2023	J	`jnl`	Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend. ACM Trans. Intell. Syst. Technol. Wendi Wu, Zongren Li, Yawei Zhao, Chen Yu, Peilin Zhao, Ji Liu, Kunlun He
2023	J	`jnl`	DeepLogic: Joint Learning of Neural Perception and Logical Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. Xuguang Duan, Xin Wang, Peilin Zhao, Guangyao Shen, Wenwu Zhu
2023	J	`jnl`	Deploying Offline Reinforcement Learning with Human Feedback. CoRR Ziniu Li, Ke Xu, Liu Liu, Lanqing Li, Deheng Ye, Peilin Zhao
2023	J	`jnl`	Differentiable Frank-Wolfe Optimization Layer. CoRR Zixuan Liu, Liu Liu, Xueqian Wang, Peilin Zhao
2023	A*	`conf`	Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction. IJCAI Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King
2023	J	`jnl`	Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction. CoRR Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King
2023	A*	`conf`	DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. AAAI Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian
2023	J	`jnl`	Dynamics Adapted Imitation Learning. Trans. Mach. Learn. Res. Zixuan Liu, Liu Liu, Bingzhe Wu, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao
2023	J	`jnl`	ETDock: A Novel Equivariant Transformer for Protein-Ligand Docking. CoRR Yiqiang Yi, Xu Wan, Yatao Bian, Le Ou-Yang, Peilin Zhao
2023	A*	`conf`	Fairness-guided Few-shot Prompting for Large Language Models. NeurIPS Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
2023	J	`jnl`	Fairness-guided Few-shot Prompting for Large Language Models. CoRR Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
2023	A*	`conf`	FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning. ICML Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu
2023	A*	`conf`	GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection. NeurIPS Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li
2023	J	`jnl`	GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection. CoRR Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li
2023	A	`conf`	Geometric Graph Learning for Protein Mutation Effect Prediction. CIKM Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao
2023	A*	`conf`	Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. AAAI Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li
2023	A*	`conf`	ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. AAAI Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li
2023	J	`jnl`	LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay. CoRR Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang
2023	A	`conf`	Meta-Learning with Motif-based Task Augmentation for Few-Shot Molecular Property Prediction. SDM Ziqiao Meng, Yaoman Li, Peilin Zhao, Yang Yu, Irwin King
2023	A*	`conf`	Mixtron: Bandit Online Multiclass Prediction with Implicit Feedback. ICDM Wanjin Feng, Hailong Shi, Peilin Zhao, Xingyu Gao
2023	A	`conf`	MoVAE: A Variational AutoEncoder for Molecular Graph Generation. SDM Zerun Lin, Yuhan Zhang, Lixin Duan, Le Ou-Yang, Peilin Zhao
2023	A*	`conf`	On the Pitfall of Mixup for Uncertainty Calibration. CVPR Deng-Bao Wang, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Min-Ling Zhang
2023	A*	`conf`	Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. ICLR Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng
2023	—	`conf`	Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. CVPR Workshops Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Junzhou Huang, Jian Chen, Mingkui Tan
2023	J	`jnl`	Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation. CoRR Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
2023	A*	`conf`	Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation. KDD Zeyu Cao, Zhipeng Liang, Bingzhe Wu, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao
2023	A*	`conf`	Retaining Beneficial Information from Detrimental Data for Neural Network Repair. NeurIPS Long-Kai Huang, Peilin Zhao, Junzhou Huang, Sinno Jialin Pan
2023	J	`jnl`	Reweighted Mixup for Subpopulation Shift. CoRR Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Qinghua Hu, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2023	J	`jnl`	SR-R CoRR Peng Tang, Zhiqiang Xu, Pengfei Wei, Xiaobin Hu, Peilin Zhao, Xin Cao, Chunlai Zhou, Tobias Lasser
2023	J	`jnl`	SyNDock: N Rigid Protein Docking via Learnable Group Synchronization. CoRR Yuanfeng Ji, Yatao Bian, Guoji Fu, Peilin Zhao, Ping Luo
2023	J	`jnl`	Towards Stable Test-Time Adaptation in Dynamic Wild World. CoRR Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan
2023	A*	`conf`	Towards Stable Test-time Adaptation in Dynamic Wild World. ICLR Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan
2023	J	`jnl`	X-Mark: Towards Lossless Watermarking Through Lexical Redundancy. CoRR Liang Chen, Yatao Bian, Yang Deng, Shuaiyi Li, Bingzhe Wu, Peilin Zhao, Kam-Fai Wong
2022	J	`jnl`	A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao
2022	J	`jnl`	Boost Test-Time Performance with Closed-Loop Inference. CoRR Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Guanghui Xu, Haokun Li, Peilin Zhao, Junzhou Huang, Yaowei Wang, Mingkui Tan
2022	J	`jnl`	Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan
2022	J	`jnl`	DRFLM: Distributionally Robust Federated Learning with Inter-client Noise via Local Mixup. CoRR Bingzhe Wu, Zhipeng Liang, Yuxuan Han, Yatao Bian, Peilin Zhao, Junzhou Huang
2022	A*	`conf`	Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media. WWW Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang, Sophia Ananiadou
2022	J	`jnl`	DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. CoRR Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Long-Kai Huang, Tingyang Xu, Yu Rong, Lanqing Li, Jie Ren, Ding Xue, Houtim Lai, Shaoyong Xu, Jing Feng, Wei Liu, Ping Luo, Shuigeng Zhou, Junzhou Huang, Peilin Zhao, Yatao Bian
2022	A*	`conf`	Efficient Test-Time Model Adaptation without Forgetting. ICML Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan
2022	J	`jnl`	Efficient Test-Time Model Adaptation without Forgetting. CoRR Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan
2022	A*	`conf`	GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. AAAI Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang
2022	J	`jnl`	GPN: A Joint Structural Learning Framework for Graph Neural Networks. CoRR Qianggang Ding, Deheng Ye, Tingyang Xu, Peilin Zhao
2022	J	`jnl`	Graph Convolutional Module for Temporal Action Localization in Videos. IEEE Trans. Pattern Anal. Mach. Intell. Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan
2022	J	`jnl`	Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. CoRR Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Tingyang Xu, Peilin Zhao, Lanqing Li, Fugee Tsung, Jia Li
2022	J	`jnl`	ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery. CoRR Lanqing Li, Liang Zeng, Ziqi Gao, Shen Yuan, Yatao Bian, Bingzhe Wu, Hengtong Zhang, Chan Lu, Yang Yu, Wei Liu, Hongteng Xu, Jia Li, Peilin Zhao, Pheng-Ann Heng
2022	J	`jnl`	ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. CoRR Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li
2022	—	`conf`	Integrating Prior Knowledge with Graph Encoder for Gene Regulatory Inference from Single-cell RNA-Seq Data. BIBM Jiawei Li, Fan Yang, Fang Wang, Yu Rong, Peilin Zhao, Shizhan Chen, Jianhua Yao, Jijun Tang, Fei Guo
2022	—	`conf`	Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction. LoG Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang
2022	A*	`conf`	Learning Neural Set Functions Under the Optimal Subset Oracle. NeurIPS Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian
2022	J	`jnl`	Learning Set Functions Under the Optimal Subset Oracle via Equivariant Variational Inference. CoRR Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian
2022	A*	`conf`	Local Augmentation for Graph Neural Networks. ICML Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
2022	J	`jnl`	MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction. CoRR Jiahan Liu, Chaochao Yan, Yang Yu, Chan Lu, Junzhou Huang, Le Ou-Yang, Peilin Zhao
2022	J	`jnl`	Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction. CoRR Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Junzhou Huang, Da Luo, Kangyi Lin, Sophia Ananiadou
2022	J	`jnl`	Metro: Memory-Enhanced Transformer for Retrosynthetic Planning via Reaction Tree. CoRR Songtao Liu, Rex Ying, Zuobai Zhang, Peilin Zhao, Jian Tang, Lu Lin, Dinghao Wu
2022	J	`jnl`	Multi-scale Attention Flow for Probabilistic Time Series Forecasting. CoRR Shibo Feng, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Fan Lin, Peilin Zhao
2022	A*	`conf`	Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. SIGIR Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao
2022	J	`jnl`	Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. CoRR Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan
2022	J	`jnl`	Point-of-Interest Recommendation With Global and Local Context. IEEE Trans. Knowl. Data Eng. Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Xiangliang Zhang
2022	J	`jnl`	Predicting Protein-Ligand Binding Affinity with Equivariant Line Graph Network. CoRR Yiqiang Yi, Xu Wan, Kangfei Zhao, Le Ou-Yang, Peilin Zhao
2022	J	`jnl`	Quantized Adaptive Subgradient Algorithms and Their Applications. CoRR Ke Xu, Jianqiao Wangni, Yifan Zhang, Deheng Ye, Jiaxiang Wu, Peilin Zhao
2022	J	`jnl`	Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation. CoRR Chengqian Gao, Ke Xu, Liu Liu, Deheng Ye, Peilin Zhao, Zhiqiang Xu
2022	A*	`conf`	SVIP: Sequence VerIfication for Procedures in Videos. CVPR Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao
2022	J	`jnl`	Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. IEEE Trans. Neural Networks Learn. Syst. Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang
2022	J	`jnl`	Towards Accurate and Compact Architectures via Neural Architecture Transformer. IEEE Trans. Pattern Anal. Mach. Intell. Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang
2022	J	`jnl`	Transformer for Graphs: An Overview from Architecture Perspective. CoRR Erxue Min, Runfa Chen, Yatao Bian, Tingyang Xu, Kangfei Zhao, Wenbing Huang, Peilin Zhao, Junzhou Huang, Sophia Ananiadou, Yu Rong
2022	A*	`conf`	UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. NeurIPS Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2022	J	`jnl`	UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. CoRR Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2022	A*	`conf`	Value Penalized Q-Learning for Recommender Systems. SIGIR Chengqian Gao, Ke Xu, Kuangqi Zhou, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao
2022	J	`jnl`	Vertical Federated Linear Contextual Bandits. CoRR Zeyu Cao, Zhipeng Liang, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao, Bingzhe Wu
2022	A*	`conf`	p-Laplacian Based Graph Neural Networks. ICML Guoji Fu, Peilin Zhao, Yatao Bian
2021	A*	`conf`	AdaXpert: Adapting Neural Architecture for Growing Data. ICML Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan
2021	J	`jnl`	AdaXpert: Adapting Neural Architecture for Growing Data. CoRR Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan
2021	A	`conf`	Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization. AISTATS Congliang Chen, Jiawei Zhang, Li Shen, Peilin Zhao, Zhi-Quan Luo
2021	A	`conf`	Context-Aware Domain Adaptation in Semantic Segmentation. WACV Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang
2021	J	`jnl`	Decentralized Online Learning With Compressed Communication for Near-Sensor Data Analytics. IEEE Commun. Lett. Guangxia Li, Jia Liu, Xiao Lu, Peilin Zhao, Yulong Shen, Dusit Niyato
2021	J	`jnl`	Deep learning for human activity recognition. Neurocomputing Xiaoli Li, Peilin Zhao, Min Wu, Zhenghua Chen, Le Zhang
2021	J	`jnl`	Disturbance-immune weight sharing for neural architecture search. Neural Networks Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
2021	A*	`conf`	Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. ICCV Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang
2021	J	`jnl`	Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. CoRR Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang
2021	J	`jnl`	FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. CoRR Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr
2021	J	`jnl`	Graph Convolutional Module for Temporal Action Localization in Videos. CoRR Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan
2021	A*	`conf`	Hierarchical Graph Capsule Network. AAAI Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang
2021	J	`jnl`	Learning Graphon Autoencoders for Generative Graph Modeling. CoRR Hongteng Xu, Peilin Zhao, Junzhou Huang, Dixin Luo
2021	J	`jnl`	Local Augmentation for Graph Neural Networks. CoRR Songtao Liu, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
2021	A*	`conf`	Meta-learning Hyperparameter Performance Prediction with Neural Processes. ICML Ying Wei, Peilin Zhao, Junzhou Huang
2021	A*	`conf`	Meta-learning with an Adaptive Task Scheduler. NeurIPS Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn
2021	J	`jnl`	Meta-learning with an Adaptive Task Scheduler. CoRR Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn
2021	J	`jnl`	Molecular graph enhanced transformer for retrosynthesis prediction. Neurocomputing Kelong Mao, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Peilin Zhao
2021	J	`jnl`	Neural graph personalized ranking for Top-N Recommendation. Knowl. Based Syst. Zhibin Hu, Jiachun Wang, Yan Yan, Peilin Zhao, Jian Chen, Jin Huang
2021	J	`jnl`	Online Adaptive Asymmetric Active Learning With Limited Budgets. IEEE Trans. Knowl. Data Eng. Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan
2021	J	`jnl`	Online learning: A comprehensive survey. Neurocomputing Steven C. H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao
2021	A*	`conf`	PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning. AAAI Qin Wang, Boyuan Wang, Zhenlei Xu, Jiaxiang Wu, Peilin Zhao, Zhen Li, Sheng Wang, Junzhou Huang, Shuguang Cui
2021	J	`jnl`	Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets. CoRR Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan
2021	J	`jnl`	RetroComposer: Discovering Novel Reactions by Composing Templates for Retrosynthesis Prediction. CoRR Chaochao Yan, Peilin Zhao, Chan Lu, Yang Yu, Junzhou Huang
2021	J	`jnl`	SVIP: Sequence VerIfication for Procedures in Videos. CoRR Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao
2021	J	`jnl`	Sparse online relative similarity learning. CoRR Dezhong Yao, Peilin Zhao, Chen Yu, Hai Jin, Bin Li
2021	A*	`conf`	Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling. ACM Multimedia Minli Li, Peilin Zhao, Yifan Zhang, Shuaicheng Niu, Qingyao Wu, Mingkui Tan
2021	J	`jnl`	Towards Accurate and Compact Architectures via Neural Architecture Transformer. CoRR Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang
2021	J	`jnl`	Value Penalized Q-Learning for Recommender Systems. CoRR Chengqian Gao, Ke Xu, Peilin Zhao
2021	J	`jnl`	p-Laplacian Based Graph Neural Networks. CoRR Guoji Fu, Peilin Zhao, Yatao Bian
2020	J	`jnl`	A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding. IEEE Trans. Knowl. Data Eng. Xiaoshuang Chen, Yin Zheng, Peilin Zhao, Zhuxi Jiang, Wenye Ma, Junzhou Huang
2020	J	`jnl`	A Unified Framework for Sparse Online Learning. ACM Trans. Knowl. Discov. Data Peilin Zhao, Dayong Wang, Pengcheng Wu, Steven C. H. Hoi
2020	A*	`conf`	Adversarial Sparse Transformer for Time Series Forecasting. NeurIPS Sifan Wu, Xi Xiao, Qianggang Ding, Peilin Zhao, Ying Wei, Junzhou Huang
2020	A*	`conf`	Aggregated Gradient Langevin Dynamics. AAAI Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian
2020	A*	`conf`	Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. ICML Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan
2020	J	`jnl`	Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. CoRR Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan
2020	J	`jnl`	COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19. CoRR Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan
2020	J	`jnl`	Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan
2020	J	`jnl`	Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. IEEE Trans. Image Process. Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan
2020	J	`jnl`	Collaborative online ranking algorithms for multitask learning. Knowl. Inf. Syst. Guangxia Li, Peilin Zhao, Tao Mei, Peng Yang, Yulong Shen, Kuiyu Chang, Steven C. H. Hoi
2020	J	`jnl`	Context-Aware Domain Adaptation in Semantic Segmentation. CoRR Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang
2020	A*	`conf`	Contextualized Point-of-Interest Recommendation. IJCAI Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang
2020	J	`jnl`	Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. CoRR Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan
2020	J	`jnl`	Disturbance-immune Weight Sharing for Neural Architecture Search. CoRR Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
2020	J	`jnl`	FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr
2020	J	`jnl`	Hierarchical Graph Capsule Network. CoRR Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang
2020	J	`jnl`	Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels? CoRR Tian Bian, Xi Xiao, Tingyang Xu, Yu Rong, Wenbing Huang, Peilin Zhao, Junzhou Huang
2020	J	`jnl`	Joint Wasserstein Distribution Matching. CoRR Jiezhang Cao, Langyuan Mo, Qing Du, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
2020	A*	`conf`	Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. AAAI Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang
2020	J	`jnl`	Nonparametric Topic Modeling with Neural Inference. Neurocomputing Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang, Peilin Zhao
2020	J	`jnl`	Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization. CoRR Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li
2020	A*	`conf`	Relation-Aware Transformer for Portfolio Policy Learning. IJCAI Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan
2020	A*	`conf`	RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist. NeurIPS Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang
2020	J	`jnl`	RetroXpert: Decompose Retrosynthesis Prediction like a Chemist. CoRR Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang
2020	A*	`conf`	Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. AAAI Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang
2020	J	`jnl`	Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. CoRR Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang
2020	J	`jnl`	Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. CoRR Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang
2020	A*	`conf`	Towards Fast Adaptation of Neural Architectures with Meta Learning. ICLR Dongze Lian, Yin Zheng, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang, Shenghua Gao
2019	A*	`conf`	AUC-MF: Point of Interest Recommendation with AUC Maximization. ICDE Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Panos Kalnis
2019	J	`jnl`	Adaptive Cost-Sensitive Online Classification. IEEE Trans. Knowl. Data Eng. Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang
2019	J	`jnl`	Aggregated Gradient Langevin Dynamics. CoRR Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian
2019	J	`jnl`	Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR Yifan Zhang, Ying Wei, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang
2019	A	`conf`	Complexities in Projection-Free Stochastic Non-convex Minimization. AISTATS Zebang Shen, Cong Fang, Peilin Zhao, Junzhou Huang, Hui Qian
2019	A*	`conf`	Confidence Weighted Multitask Learning. AAAI Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao
2019	—	`conf`	Data Analytics for Fog Computing by Distributed Online Learning with Asynchronous Update. ICC Guangxia Li, Peilin Zhao, Xiao Lu, Jia Liu, Yulong Shen
2019	J	`jnl`	Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend. CoRR Yawei Zhao, Chen Yu, Peilin Zhao, Ji Liu
2019	A*	`conf`	Decentralized Optimization with Edge Sampling. IJCAI Chi Zhang, Qianxiao Li, Peilin Zhao
2019	J	`jnl`	Detecting Cyberattacks in Industrial Control Systems Using Online Learning Algorithms. CoRR Guangxia Li, Yulong Shen, Peilin Zhao, Xiao Lu, Jia Liu, Yangyang Liu, Steven C. H. Hoi
2019	J	`jnl`	Detecting cyberattacks in industrial control systems using online learning algorithms. Neurocomputing Guangxia Li, Yulong Shen, Peilin Zhao, Xiao Lu, Jia Liu, Yangyang Liu, Steven C. H. Hoi
2019	—	`conf`	From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. MICCAI (1) Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Qingyao Wu, Mingkui Tan, Junzhou Huang
2019	A*	`conf`	GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. KDD Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis
2019	A*	`conf`	Graph Convolutional Networks for Temporal Action Localization. ICCV Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang
2019	J	`jnl`	Graph Convolutional Networks for Temporal Action Localization. CoRR Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan
2019	A*	`conf`	Hyperparameter Learning via Distributional Transfer. NeurIPS Ho Chung Leon Law, Peilin Zhao, Leung Sing Chan, Junzhou Huang, Dino Sejdinovic
2019	A*	`conf`	Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies. IJCAI Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao
2019	J	`jnl`	Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. CoRR Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang
2019	A*	`conf`	NAT: Neural Architecture Transformer for Accurate and Compact Architectures. NeurIPS Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang
2019	J	`jnl`	NAT: Neural Architecture Transformer for Accurate and Compact Architectures. CoRR Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang
2019	J	`jnl`	Online Adaptive Asymmetric Active Learning with Limited Budgets. CoRR Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan
2019	A	`conf`	Robust Factorization Machine: A Doubly Capped Norms Minimization. SDM Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven C. H. Hoi
2019	J	`jnl`	Transferable Neural Processes for Hyperparameter Optimization. CoRR Ying Wei, Peilin Zhao, Huaxiu Yao, Junzhou Huang
2018	J	`jnl`	A Boosting Framework of Factorization Machine. CoRR Longfei Li, Peilin Zhao, Jun Zhou, Xiaolong Li
2018	—	`conf`	A Local Online Learning Approach for Non-linear Data. PAKDD (2) Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li
2018	J	`jnl`	Adaptive Cost-sensitive Online Classification. CoRR Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang
2018	A*	`conf`	Bandit Online Learning on Graphs via Adaptive Optimization. IJCAI Peng Yang, Peilin Zhao, Xin Gao
2018	A*	`conf`	Distributed Collaborative Hashing and Its Applications in Ant Financial. KDD Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li
2018	J	`jnl`	Distributed Collaborative Hashing and Its Applications in Ant Financial. CoRR Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li
2018	J	`jnl`	Distributed multi-task classification: a decentralized online learning approach. Mach. Learn. Chi Zhang, Peilin Zhao, Shuji Hao, Yeng Chai Soh, Bu-Sung Lee, Chunyan Miao, Steven C. H. Hoi
2018	J	`jnl`	Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss. CoRR Yong Guo, Qi Chen, Jian Chen, Junzhou Huang, Yanwu Xu, Jiezhang Cao, Peilin Zhao, Mingkui Tan
2018	A*	`conf`	High-dimensional Similarity Learning via Dual-sparse Random Projection. IJCAI Dezhong Yao, Peilin Zhao, Tuan-Anh Nguyen Pham, Gao Cong
2018	J	`jnl`	Hyperparameter Learning via Distributional Transfer. CoRR Ho Chung Leon Law, Peilin Zhao, Junzhou Huang, Dino Sejdinovic
2018	J	`jnl`	Online Active Learning with Expert Advice. ACM Trans. Knowl. Discov. Data Shuji Hao, Peiying Hu, Peilin Zhao, Steven C. H. Hoi, Chunyan Miao
2018	A*	`conf`	Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data. KDD Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan
2018	A*	`conf`	Online Compact Convexified Factorization Machine. WWW Xiao Lin, Wenpeng Zhang, Min Zhang, Wenwu Zhu, Jian Pei, Peilin Zhao, Junzhou Huang
2018	J	`jnl`	Online Compact Convexified Factorization Machine. CoRR Wenpeng Zhang, Xiao Lin, Peilin Zhao
2018	J	`jnl`	Online Learning: A Comprehensive Survey. CoRR Steven C. H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao
2018	A*	`conf`	Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization. AAAI Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li
2018	A*	`conf`	Robust Asymmetric Recommendation via Min-Max Optimization. SIGIR Peng Yang, Peilin Zhao, Vincent W. Zheng, Lizhong Ding, Xin Gao
2018	A	`conf`	Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback. SDM Peng Yang, Peilin Zhao, Yong Liu, Xin Gao
2018	J	`jnl`	Second-Order Online Active Learning and Its Applications. IEEE Trans. Knowl. Data Eng. Shuji Hao, Jing Lu, Peilin Zhao, Chi Zhang, Steven C. H. Hoi, Chunyan Miao
2018	J	`jnl`	Sparse Passive-Aggressive Learning for Bounded Online Kernel Methods. ACM Trans. Intell. Syst. Technol. Jing Lu, Doyen Sahoo, Peilin Zhao, Steven C. H. Hoi
2018	A*	`conf`	Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. ICML Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian
2018	J	`jnl`	Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. CoRR Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian
2018	—	`ch.`	Twitter Microblog Sentiment Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Guangxia Li, Zhen Hai, Peilin Zhao, Kuiyu Chang, Steven C. H. Hoi
2018	A*	`conf`	Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points. AAAI Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi
2017	A*	`conf`	A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks. ICDM Minghui Qiu, Peilin Zhao, Ke Zhang, Jun Huang, Xing Shi, Xiaoguang Wang, Wei Chu
2017	J	`jnl`	Collaborative topic regression for online recommender systems: an online and Bayesian approach. Mach. Learn. Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun
2017	J	`jnl`	Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. Ali Ezzat, Peilin Zhao, Min Wu, Xiaoli Li, Chee Keong Kwoh
2017	A*	`conf`	KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. KDD Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi
2017	A*	`conf`	Large Scale Kernel Methods for Online AUC Maximization. ICDM Yi Ding, Chenghao Liu, Peilin Zhao, Steven C. H. Hoi
2017	A*	`conf`	Learning User Dependencies for Recommendation. IJCAI Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiaoli Li
2017	—	`conf`	Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems. WWW (Companion Volume) Cen Chen, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li, Minghui Qiu
2017	A*	`conf`	Locally Linear Factorization Machines. IJCAI Chenghao Liu, Teng Zhang, Peilin Zhao, Jun Zhou, Jianling Sun
2017	A*	`conf`	Online Multitask Relative Similarity Learning. IJCAI Shuji Hao, Peilin Zhao, Yong Liu, Steven C. H. Hoi, Chunyan Miao
2017	—	`conf`	PSMART: Parameter Server based Multiple Additive Regression Trees System. WWW (Companion Volume) Jun Zhou, Qing Cui, Xiaolong Li, Peilin Zhao, Shenquan Qu, Jun Huang
2017	A*	`conf`	Projection-free Distributed Online Learning in Networks. ICML Wenpeng Zhang, Peilin Zhao, Wenwu Zhu, Steven C. H. Hoi, Tong Zhang
2017	J	`jnl`	Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback. CoRR Peng Yang, Peilin Zhao, Xin Gao, Yong Liu
2017	J	`jnl`	Robust Online Multi-Task Learning with Correlative and Personalized Structures. CoRR Peng Yang, Peilin Zhao, Xin Gao
2017	J	`jnl`	Robust Online Multi-Task Learning with Correlative and Personalized Structures. IEEE Trans. Knowl. Data Eng. Peng Yang, Peilin Zhao, Xin Gao
2016	J	`jnl`	Adaptive Subgradient Methods for Online AUC Maximization. CoRR Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong
2016	C	`conf`	Cost Sensitive Online Multiple Kernel Classification. ACML Doyen Sahoo, Steven C. H. Hoi, Peilin Zhao
2016	A*	`conf`	Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data. EMNLP Zhen Hai, Peilin Zhao, Peng Cheng, Peng Yang, Xiaoli Li, Guangxia Li
2016	—	`conf`	Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life. DASFAA (1) Giduthuri Sateesh Babu, Peilin Zhao, Xiaoli Li
2016	A	`conf`	Efficient Multi-Class Selective Sampling on Graphs. UAI Peng Yang, Peilin Zhao, Zhen Hai, Wei Liu, Steven C. H. Hoi, Xiaoli Li
2016	J	`jnl`	Large Scale Online Kernel Learning. J. Mach. Learn. Res. Jing Lu, Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Zhiyong Liu
2016	A	`conf`	Learning Correlative and Personalized Structure for Online Multi-Task Classification. SDM Peng Yang, Guangxia Li, Peilin Zhao, Xiaoli Li, Sujatha Das Gollapalli
2016	J	`jnl`	Learning Optimal Social Dependency for Recommendation. CoRR Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Xiaoli Li
2016	A*	`conf`	Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization. ICML Zhiqiang Xu, Peilin Zhao, Jianneng Cao, Xiaoli Li
2016	J	`jnl`	Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction. PLoS Comput. Biol. Yong Liu, Min Wu, Chunyan Miao, Peilin Zhao, Xiaoli Li
2016	A*	`conf`	Online ARIMA Algorithms for Time Series Prediction. AAAI Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun
2016	A	`conf`	Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications. CIKM Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun, Ee-Peng Lim
2016	J	`jnl`	Online Bayesian Collaborative Topic Regression. CoRR Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun
2016	J	`jnl`	Online Multi-Modal Distance Metric Learning with Application to Image Retrieval. IEEE Trans. Knowl. Data Eng. Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Chunyan Miao, Zhiyong Liu
2016	J	`jnl`	Online Passive-Aggressive Active learning. Mach. Learn. Jing Lu, Peilin Zhao, Steven C. H. Hoi
2016	A	`conf`	Online Sparse Passive Aggressive Learning with Kernels. SDM Jing Lu, Peilin Zhao, Steven C. H. Hoi
2016	A*	`conf`	ROM: A Robust Online Multi-task Learning Approach. ICDM Chi Zhang, Peilin Zhao, Shuji Hao, Yeng Chai Soh, Bu-Sung Lee
2016	A*	`conf`	Repeat Buyer Prediction for E-Commerce. KDD Guimei Liu, Tam T. Nguyen, Gang Zhao, Wei Zha, Jianbo Yang, Jianneng Cao, Min Wu, Peilin Zhao, Wei Chen
2016	A*	`conf`	SOAL: Second-Order Online Active Learning. ICDM Shuji Hao, Peilin Zhao, Jing Lu, Steven C. H. Hoi, Chunyan Miao, Chi Zhang
2016	J	`jnl`	Soft Confidence-Weighted Learning. ACM Trans. Intell. Syst. Technol. Jialei Wang, Peilin Zhao, Steven C. H. Hoi
2016	A	`conf`	Temporal Kernel Descriptors for Learning with Time-sensitive Patterns. SDM Doyen Sahoo, Abhishek Sharma, Steven C. H. Hoi, Peilin Zhao
2015	A*	`conf`	A Boosting Algorithm for Item Recommendation with Implicit Feedback. IJCAI Yong Liu, Peilin Zhao, Aixin Sun, Chunyan Miao
2015	J	`jnl`	A Framework of Sparse Online Learning and Its Applications. CoRR Dayong Wang, Pengcheng Wu, Peilin Zhao, Steven C. H. Hoi
2015	A	`conf`	A Min-Max Optimization Framework For Online Graph Classification. CIKM Peng Yang, Peilin Zhao
2015	—	`conf`	Active Crowdsourcing for Annotation. WI-IAT (2) Shuji Hao, Steven C. H. Hoi, Chunyan Miao, Peilin Zhao
2015	A*	`conf`	Adaptive Stochastic Alternating Direction Method of Multipliers. ICML Peilin Zhao, Jinwei Yang, Tong Zhang, Ping Li
2015	A*	`conf`	An Adaptive Gradient Method for Online AUC Maximization. AAAI Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong
2015	A*	`conf`	An Aggressive Graph-Based Selective Sampling Algorithm for Classification. ICDM Peng Yang, Peilin Zhao, Vincent W. Zheng, Xiaoli Li
2015	J	`jnl`	Budget Online Multiple Kernel Learning. CoRR Jing Lu, Steven C. H. Hoi, Doyen Sahoo, Peilin Zhao
2015	A*	`conf`	Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications. ICDM Peilin Zhao, Furen Zhuang, Min Wu, Xiaoli Li, Steven C. H. Hoi
2015	A	`conf`	Learning Relative Similarity from Data Streams: Active Online Learning Approaches. CIKM Shuji Hao, Peilin Zhao, Steven C. H. Hoi, Chunyan Miao
2015	A*	`conf`	Online Learning to Rank for Content-Based Image Retrieval. IJCAI Ji Wan, Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Xingyu Gao, Dayong Wang, Yongdong Zhang, Jintao Li
2015	A*	`conf`	Sparse Online Relative Similarity Learning. ICDM Dezhong Yao, Peilin Zhao, Chen Yu, Hai Jin, Bin Li
2015	A*	`conf`	Stochastic Optimization with Importance Sampling for Regularized Loss Minimization. ICML Peilin Zhao, Tong Zhang
2014	J	`jnl`	Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling. CoRR Peilin Zhao, Tong Zhang
2014	J	`jnl`	Cost-Sensitive Online Classification. IEEE Trans. Knowl. Data Eng. Jialei Wang, Peilin Zhao, Steven C. H. Hoi
2014	A*	`conf`	High-Dimensional Data Stream Classification via Sparse Online Learning. ICDM Dayong Wang, Pengcheng Wu, Peilin Zhao, Yue Wu, Chunyan Miao, Steven C. H. Hoi
2014	J	`jnl`	LIBOL: a library for online learning algorithms. J. Mach. Learn. Res. Steven C. H. Hoi, Jialei Wang, Peilin Zhao
2014	A*	`conf`	Learning Relative Similarity by Stochastic Dual Coordinate Ascent. AAAI Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven C. H. Hoi
2014	J	`jnl`	Online Feature Selection and Its Applications. IEEE Trans. Knowl. Data Eng. Jialei Wang, Peilin Zhao, Steven C. H. Hoi, Rong Jin
2014	J	`jnl`	Online Multiple Kernel Similarity Learning for Visual Search. IEEE Trans. Pattern Anal. Mach. Intell. Hao Xia, Steven C. H. Hoi, Rong Jin, Peilin Zhao
2014	C	`conf`	Online Passive Aggressive Active Learning and Its Applications. ACML Jing Lu, Peilin Zhao, Steven C. H. Hoi
2014	J	`jnl`	Online Transfer Learning. Artif. Intell. Peilin Zhao, Steven C. H. Hoi, Jialei Wang, Bin Li
2014	J	`jnl`	Stochastic Optimization with Importance Sampling. CoRR Peilin Zhao, Tong Zhang
2013	J	`jnl`	Accelerating Stochastic Alternating Direction Method of Multipliers with Adaptive Subgradient. CoRR Peilin Zhao, Jinwei Yang, Tong Zhang, Ping Li
2013	A	`conf`	Active Learning with Expert Advice. UAI Peilin Zhao, Steven C. H. Hoi, Jinfeng Zhuang
2013	J	`jnl`	Active Learning with Expert Advice. CoRR Peilin Zhao, Steven C. H. Hoi, Jinfeng Zhuang
2013	J	`jnl`	Confidence Weighted Mean Reversion Strategy for Online Portfolio Selection. ACM Trans. Knowl. Discov. Data Bin Li, Steven C. H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan
2013	A	`conf`	Cost-Sensitive Double Updating Online Learning and Its Application to Online Anomaly Detection. SDM Steven C. H. Hoi, Peilin Zhao
2013	A*	`conf`	Cost-sensitive online active learning with application to malicious URL detection. KDD Peilin Zhao, Steven C. H. Hoi
2013	—	`—`	Kernel based online learning Peilin Zhao
2013	A*	`conf`	Large Scale Online Kernel Classification. IJCAI Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Jinfeng Zhuang, Zhiyong Liu
2013	J	`jnl`	Online Multiple Kernel Classification. Mach. Learn. Steven C. H. Hoi, Rong Jin, Peilin Zhao, Tianbao Yang
2013	A	`conf`	Online multi-task collaborative filtering for on-the-fly recommender systems. RecSys Jialei Wang, Steven C. H. Hoi, Peilin Zhao, Zhiyong Liu
2013	A*	`conf`	Online multimodal deep similarity learning with application to image retrieval. ACM Multimedia Pengcheng Wu, Steven C. H. Hoi, Hao Xia, Peilin Zhao, Dayong Wang, Chunyan Miao
2012	—	`conf`	BDUOL: Double Updating Online Learning on a Fixed Budget. ECML/PKDD (1) Peilin Zhao, Steven C. H. Hoi
2012	A*	`conf`	Cost-Sensitive Online Classification. ICDM Jialei Wang, Peilin Zhao, Steven C. H. Hoi
2012	J	`jnl`	Exact Soft Confidence-Weighted Learning CoRR Jialei Wang, Peilin Zhao, Steven C. H. Hoi
2012	A*	`conf`	Exact Soft Confidence-Weighted Learning. ICML Steven C. H. Hoi, Jialei Wang, Peilin Zhao
2012	J	`jnl`	Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning CoRR Peilin Zhao, Jialei Wang, Pengcheng Wu, Rong Jin, Steven C. H. Hoi
2012	A*	`conf`	Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning. ICML Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin, Pengcheng Wu
2012	—	`conf`	Online feature selection for mining big data. BigMine Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin
2012	J	`jnl`	PAMR: Passive aggressive mean reversion strategy for portfolio selection. Mach. Learn. Bin Li, Peilin Zhao, Steven C. H. Hoi, Vivekanand Gopalkrishnan
2011	A	`conf`	Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection. AISTATS Bin Li, Steven C. H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan
2011	J	`jnl`	Double Updating Online Learning. J. Mach. Learn. Res. Peilin Zhao, Steven C. H. Hoi, Rong Jin
2011	A	`conf`	Mining social images with distance metric learning for automated image tagging. WSDM Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Ying He
2011	A*	`conf`	Online AUC Maximization. ICML Peilin Zhao, Steven C. H. Hoi, Rong Jin, Tianbao Yang
2010	A*	`conf`	Local features are not lonely - Laplacian sparse coding for image classification. CVPR Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia, Peilin Zhao
2010	A*	`conf`	OTL: A Framework of Online Transfer Learning. ICML Peilin Zhao, Steven C. H. Hoi
2009	—	`conf`	DUOL: A Double Updating Approach for Online Learning. NIPS Peilin Zhao, Steven C. H. Hoi, Rong Jin