Peilin Zhao

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 236

Top Venues

Publications

Shibo Feng, Chunyan Miao, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Yang Zhang, Peilin Zhao
Multi-Scale Attention Flow for Probabilistic Time Series Forecasting. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Yiqiang Yi, Xu Wan, Kangfei Zhao, Le Ou-Yang, Peilin Zhao
Equivariant Line Graph Neural Network for Protein-Ligand Binding Affinity Prediction. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Shibo Feng, Chunyan Miao, Zhong Zhang, Peilin Zhao
Latent Diffusion Transformer for Probabilistic Time Series Forecasting. AAAI (2024)
Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
Invariant Test-Time Adaptation for Vision-Language Model Generalization. CoRR (2024)
Haoyu Wang, Guozheng Ma, Ziqiao Meng, Zeyu Qin, Li Shen, Zhong Zhang, Bingzhe Wu, Liu Liu, Yatao Bian, Tingyang Xu, Xueqian Wang, Peilin Zhao
Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping. CoRR (2024)
Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan Hu, Peilin Zhao, Lichao Sun
Variational Bayes for Federated Continual Learning. CoRR (2024)
Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng
Enhancing Neural Subset Selection: Integrating Background Information into Set Representations. CoRR (2024)
Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong
Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution. ICLR (2024)
Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases. ICLR (2024)
Zhicheng Chen, Xi Xiao, Ke Xu, Zhong Zhang, Yu Rong, Qing Li, Guojun Gan, Zhiqiang Xu, Peilin Zhao
MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series. CoRR (2024)
Liang Chen, Yatao Bian, Yang Deng, Deng Cai, Shuaiyi Li, Peilin Zhao, Kam-Fai Wong
WatME: Towards Lossless Watermarking Through Lexical Redundancy. ACL (1) (2024)
Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao
Test-Time Model Adaptation with Only Forward Passes. CoRR (2024)
Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng
Enhancing Neural Subset Selection: Integrating Background Information into Set Representations. ICLR (2024)
Zixuan Liu, Liu Liu, Xueqian Wang, Peilin Zhao
DFWLayer: Differentiable Frank-Wolfe Optimization Layer. Tiny Papers @ ICLR (2024)
Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, Shuaicheng Niu
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting. CoRR (2024)
Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay. CoRR (2023)
Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
Fairness-guided Few-shot Prompting for Large Language Models. CoRR (2023)
Peng Tang, Zhiqiang Xu, Pengfei Wei, Xiaobin Hu, Peilin Zhao, Xin Cao, Chunlai Zhou, Tobias Lasser
KAC: Improving Single Image Defocus Deblurring. CoRR (2023)
Zeyu Cao, Zhipeng Liang, Bingzhe Wu, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao
Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation. KDD (2023)
Zerun Lin, Yuhan Zhang, Lixin Duan, Le Ou-Yang, Peilin Zhao
MoVAE: A Variational AutoEncoder for Molecular Graph Generation. SDM (2023)
Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection. CoRR (2023)
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
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. AAAI (2023)
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
A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. 46 (4) (2023)
Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation. CoRR (2023)
Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao
Geometric Graph Learning for Protein Mutation Effect Prediction. CIKM (2023)
Huan Ma, Changqing Zhang, Huazhu Fu, Peilin Zhao, Bingzhe Wu
Adapting Large Language Models for Content Moderation: Pitfalls in Data Engineering and Supervised Fine-tuning. CoRR (2023)
Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges. CoRR (2023)
Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract). ICDE (2023)
Wendi Wu, Zongren Li, Yawei Zhao, Chen Yu, Peilin Zhao, Ji Liu, Kunlun He
Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend. ACM Trans. Intell. Syst. Technol. 14 (1) (2023)
Qichao Wang, Huan Ma, Wentao Wei, Hangyu Li, Liang Chen, Peilin Zhao, Binwen Zhao, Bo Hu, Shu Zhang, Zibin Zheng, Bingzhe Wu
Attention Paper: How Generative AI Reshapes Digital Shadow Industry? CoRR (2023)
Xuguang Duan, Xin Wang, Peilin Zhao, Guangyao Shen, Wenwu Zhu
DeepLogic: Joint Learning of Neural Perception and Logical Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Zhipeng Zhou, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Wei Gong
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition. CVPR (2023)
Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges. IJCAI (2023)
Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King
Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction. CoRR (2023)
Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning. ICML (2023)
Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. AAAI (2023)
Liang Chen, Yatao Bian, Yang Deng, Shuaiyi Li, Bingzhe Wu, Peilin Zhao, Kam-Fai Wong
X-Mark: Towards Lossless Watermarking Through Lexical Redundancy. CoRR (2023)
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan
Towards Stable Test-Time Adaptation in Dynamic Wild World. CoRR (2023)
Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao
BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion. ICLR (2023)
Zixuan Liu, Liu Liu, Bingzhe Wu, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao
Dynamics Adapted Imitation Learning. Trans. Mach. Learn. Res. 2023 (2023)
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan
Towards Stable Test-time Adaptation in Dynamic Wild World. ICLR (2023)
Zixuan Liu, Liu Liu, Xueqian Wang, Peilin Zhao
Differentiable Frank-Wolfe Optimization Layer. CoRR (2023)
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
Are Large Language Models Really Robust to Word-Level Perturbations? CoRR (2023)
Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King
Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction. IJCAI (2023)
Long-Kai Huang, Peilin Zhao, Junzhou Huang, Sinno Jialin Pan
Retaining Beneficial Information from Detrimental Data for Neural Network Repair. NeurIPS (2023)
Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu
Curriculum Graph Poisoning. WWW (2023)
Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection. NeurIPS (2023)
Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Junzhou Huang, Jian Chen, Mingkui Tan
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. CVPR Workshops (2023)
Yiqiang Yi, Xu Wan, Yatao Bian, Le Ou-Yang, Peilin Zhao
ETDock: A Novel Equivariant Transformer for Protein-Ligand Docking. CoRR (2023)
Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
Fairness-guided Few-shot Prompting for Large Language Models. NeurIPS (2023)
Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Qinghua Hu, Bingzhe Wu, Changqing Zhang, Jianhua Yao
Reweighted Mixup for Subpopulation Shift. CoRR (2023)
Qichao Wang, Huan Ma, Wentao Wei, Hangyu Li, Changqing Zhang, Peilin Zhao, Binwen Zhao, Bo Hu, Shu Zhang, Bingzhe Wu, Liang Chen
Attention Paper: How Generative AI Reshapes Digital Shadow Industry? ACM TUR-C (2023)
Ziniu Li, Ke Xu, Liu Liu, Lanqing Li, Deheng Ye, Peilin Zhao
Deploying Offline Reinforcement Learning with Human Feedback. CoRR (2023)
Deng-Bao Wang, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Min-Ling Zhang
On the Pitfall of Mixup for Uncertainty Calibration. CVPR (2023)
Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. AAAI (2023)
Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. ICLR (2023)
Yuanfeng Ji, Yatao Bian, Guoji Fu, Peilin Zhao, Ping Luo
SyNDock: N Rigid Protein Docking via Learnable Group Synchronization. CoRR (2023)
Ziqiao Meng, Yaoman Li, Peilin Zhao, Yang Yu, Irwin King
Meta-Learning with Motif-based Task Augmentation for Few-Shot Molecular Property Prediction. SDM (2023)
Wanjin Feng, Hailong Shi, Peilin Zhao, Xingyu Gao
Mixtron: Bandit Online Multiclass Prediction with Implicit Feedback. ICDM (2023)
Shibo Feng, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Fan Lin, Peilin Zhao
Multi-scale Attention Flow for Probabilistic Time Series Forecasting. CoRR (2022)
Bingzhe Wu, Zhipeng Liang, Yuxuan Han, Yatao Bian, Peilin Zhao, Junzhou Huang
DRFLM: Distributionally Robust Federated Learning with Inter-client Noise via Local Mixup. CoRR (2022)
Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao
SVIP: Sequence VerIfication for Procedures in Videos. CVPR (2022)
Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
Local Augmentation for Graph Neural Networks. ICML (2022)
Chengqian Gao, Ke Xu, Liu Liu, Deheng Ye, Peilin Zhao, Zhiqiang Xu
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation. CoRR (2022)
Erxue Min, Runfa Chen, Yatao Bian, Tingyang Xu, Kangfei Zhao, Wenbing Huang, Peilin Zhao, Junzhou Huang, Sophia Ananiadou, Yu Rong
Transformer for Graphs: An Overview from Architecture Perspective. CoRR (2022)
Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. SIGIR (2022)
Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 34 (1) (2022)
Ke Xu, Jianqiao Wangni, Yifan Zhang, Deheng Ye, Jiaxiang Wu, Peilin Zhao
Quantized Adaptive Subgradient Algorithms and Their Applications. CoRR (2022)
Guoji Fu, Peilin Zhao, Yatao Bian
p-Laplacian Based Graph Neural Networks. ICML (2022)
Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Junzhou Huang, Da Luo, Kangyi Lin, Sophia Ananiadou
Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction. CoRR (2022)
Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Xiangliang Zhang
Point-of-Interest Recommendation With Global and Local Context. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. AAAI (2022)
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
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR (2022)
Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian
Learning Neural Set Functions Under the Optimal Subset Oracle. NeurIPS (2022)
Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. CoRR (2022)
Jiawei Li, Fan Yang, Fang Wang, Yu Rong, Peilin Zhao, Shizhan Chen, Jianhua Yao, Jijun Tang, Fei Guo
Integrating Prior Knowledge with Graph Encoder for Gene Regulatory Inference from Single-cell RNA-Seq Data. BIBM (2022)
Jiahan Liu, Chaochao Yan, Yang Yu, Chan Lu, Junzhou Huang, Le Ou-Yang, Peilin Zhao
MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction. CoRR (2022)
Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. NeurIPS (2022)
Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. CoRR (2022)
Yiqiang Yi, Xu Wan, Kangfei Zhao, Le Ou-Yang, Peilin Zhao
Predicting Protein-Ligand Binding Affinity with Equivariant Line Graph Network. CoRR (2022)
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Guanghui Xu, Haokun Li, Peilin Zhao, Junzhou Huang, Yaowei Wang, Mingkui Tan
Boost Test-Time Performance with Closed-Loop Inference. CoRR (2022)
Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang, Sophia Ananiadou
Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media. WWW (2022)
Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang
Towards Accurate and Compact Architectures via Neural Architecture Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Qianggang Ding, Deheng Ye, Tingyang Xu, Peilin Zhao
GPN: A Joint Structural Learning Framework for Graph Neural Networks. CoRR (2022)
Zeyu Cao, Zhipeng Liang, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao, Bingzhe Wu
Vertical Federated Linear Contextual Bandits. CoRR (2022)
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan
Efficient Test-Time Model Adaptation without Forgetting. CoRR (2022)
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
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang
Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction. LoG (2022)
Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. CoRR (2022)
Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan
Graph Convolutional Module for Temporal Action Localization in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Songtao Liu, Rex Ying, Zuobai Zhang, Peilin Zhao, Jian Tang, Lu Lin, Dinghao Wu
Metro: Memory-Enhanced Transformer for Retrosynthetic Planning via Reaction Tree. CoRR (2022)
Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian
Learning Set Functions Under the Optimal Subset Oracle via Equivariant Variational Inference. CoRR (2022)
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan
Efficient Test-Time Model Adaptation without Forgetting. ICML (2022)
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
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery. CoRR (2022)
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
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. CoRR (2022)
Chengqian Gao, Ke Xu, Kuangqi Zhou, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao
Value Penalized Q-Learning for Recommender Systems. SIGIR (2022)
Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Tingyang Xu, Peilin Zhao, Lanqing Li, Fugee Tsung, Jia Li
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. CoRR (2022)
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
Disturbance-immune weight sharing for neural architecture search. Neural Networks 144 (2021)
Chengqian Gao, Ke Xu, Peilin Zhao
Value Penalized Q-Learning for Recommender Systems. CoRR (2021)
Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan
AdaXpert: Adapting Neural Architecture for Growing Data. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Peilin Zhao