Peilin Zhao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
139
Venues
24
Active years
2010–2026
Best venue rank
A*
Where they publish
- A*ICML24 papers
- A*AAAI19 papers
- A*IJCAI16 papers
- A*ICLR13 papers
- A*ICDM10 papers
- A*KDD9 papers
- ASDM8 papers
- ACIKM5 papers
- A*CVPR5 papers
- A*WWW5 papers
- A*ACL3 papers
- A*SIGIR3 papers
- A*EMNLP2 papers
- ARecSys2 papers
- A*ICDE2 papers
- AAISTATS2 papers
- A*ICCV2 papers
- CACML2 papers
- AUAI2 papers
- AWACV1 paper
- AMICCAI1 paper
- BPAKDD1 paper
- BDASFAA1 paper
- AWSDM1 paper
Papers
139 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | CrystalDiT: Simple Diffusion Transformers for Crystal Generation. | Xiaohan Yi, Guikun Xu, Zhong Zhang, Liu Liu, Yatao Bian, Xi Xiao, Peilin Zhao |
| 2026 | ACL | Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback. | Jiaye Lin, Mengdi Li, Xufeng Zhao, Wenhao Lu, Peilin Zhao, Stefan Wermter, Di Wang |
| 2026 | ACL | The Stackelberg Speaker: Optimizing Persuasive Communication in Social Deduction Games. | Zheng Zhang, Deheng Ye, Peilin Zhao, Hao Wang |
| 2025 | AAAI | HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting. | Shibo Feng, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen |
| 2025 | AAAI | Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model. | Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu |
| 2025 | ICLR | TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting. | Shibo Feng, Wanjin Feng, Xingyu Gao, Peilin Zhao, Zhiqi Shen |
| 2025 | ICLR | Scaling Diffusion Language Models via Adaptation from Autoregressive Models. | 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 | ICLR | Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models. | Fushuo Huo, Wenchao Xu, Zhong Zhang, Haozhao Wang, Zhicheng Chen, Peilin Zhao |
| 2025 | ICLR | IgGM: A Generative Model for Functional Antibody and Nanobody Design. | Rubo Wang, Fandi Wu, Xingyu Gao, Jiaxiang Wu, Peilin Zhao, Jianhua Yao |
| 2025 | ICLR | COME: Test-time Adaption by Conservatively Minimizing Entropy. | Qingyang Zhang, Yatao Bian, Xinke Kong, Peilin Zhao, Changqing Zhang |
| 2025 | ICML | Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity. | Wanjin Feng, Xingyu Gao, Wenqian Du, Hailong Shi, Peilin Zhao, Pengcheng Wu, Chunyan Miao |
| 2025 | ICML | Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples. | Chengqian Gao, Haonan Li, Liu Liu, Zeke Xie, Peilin Zhao, Zhiqiang Xu |
| 2025 | ICML | Self-Bootstrapping for Versatile Test-Time Adaptation. | Shuaicheng Niu, Guohao Chen, Peilin Zhao, Tianyi Wang, Pengcheng Wu, Zhiqi Shen |
| 2025 | ICML | NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction. | Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao |
| 2025 | ICML | Test-time Adapted Reinforcement Learning with Action Entropy Regularization. | Shoukai Xu, Zihao Lian, Mingkui Tan, Liu Liu, Zhong Zhang, Peilin Zhao |
| 2025 | ICML | Measuring Diversity in Synthetic Datasets. | Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian |
| 2025 | IJCAI | Injecting Imbalance Sensitivity for Multi-Task Learning. | Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong |
| 2025 | KDD | Hexagon-Net: Heterogeneous Cross-View Aligned Graph Attention Networks for Implied Volatility Surface Prediction. | Kaiwei Liang, Ruirui Liu, Huichou Huang, Johannes Ruf, Peilin Zhao, Qingyao Wu |
| 2024 | AAAI | Latent Diffusion Transformer for Probabilistic Time Series Forecasting. | Shibo Feng, Chunyan Miao, Zhong Zhang, Peilin Zhao |
| 2024 | ACL | WatME: Towards Lossless Watermarking Through Lexical Redundancy. | Liang Chen, Yatao Bian, Yang Deng, Deng Cai, Shuaiyi Li, Peilin Zhao, Kam-Fai Wong |
| 2024 | CIKM | A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference. | Yupeng Fang, Ruirui Liu, Huichou Huang, Peilin Zhao, Qingyao Wu |
| 2024 | EMNLP | LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay. | Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang |
| 2024 | ICLR | DFWLayer: Differentiable Frank-Wolfe Optimization Layer. | Zixuan Liu, Liu Liu, Xueqian Wang, Peilin Zhao |
| 2024 | ICLR | SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases. | Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong |
| 2024 | ICLR | Enhancing Neural Subset Selection: Integrating Background Information into Set Representations. | Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng |
| 2024 | ICLR | Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution. | Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong |
| 2024 | ICML | Test-Time Model Adaptation with Only Forward Passes. | Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao |
| 2024 | ICML | Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization. | Yichen Wu, Hong Wang, Peilin Zhao, Yefeng Zheng, Ying Wei, Long-Kai Huang |
| 2024 | IJCAI | Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations. | Ziqiao Meng, Liang Zeng, Zixing Song, Tingyang Xu, Peilin Zhao, Irwin King |
| 2024 | RecSys | TLRec: A Transfer Learning Framework to Enhance Large Language Models for Sequential Recommendation Tasks. | Jiaye Lin, Shuang Peng, Zhong Zhang, Peilin Zhao |
| 2023 | AAAI | ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. | Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li |
| 2023 | AAAI | Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. | Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li |
| 2023 | AAAI | DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. | 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 | CIKM | Geometric Graph Learning for Protein Mutation Effect Prediction. | Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao |
| 2023 | CVPR | Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. | Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Junzhou Huang, Jian Chen, Mingkui Tan |
| 2023 | CVPR | On the Pitfall of Mixup for Uncertainty Calibration. | Deng-Bao Wang, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Min-Ling Zhang |
| 2023 | CVPR | Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition. | Zhipeng Zhou, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Wei Gong |
| 2023 | ICDE | Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract). | Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan |
| 2023 | ICDM | Mixtron: Bandit Online Multiclass Prediction with Implicit Feedback. | Wanjin Feng, Hailong Shi, Peilin Zhao, Xingyu Gao |
| 2023 | ICLR | Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. | Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng |
| 2023 | ICLR | Towards Stable Test-time Adaptation in Dynamic Wild World. | Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan |
| 2023 | ICLR | BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion. | Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao |
| 2023 | ICML | FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning. | Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu |
| 2023 | IJCAI | Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction. | Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King |
| 2023 | IJCAI | A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges. | Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King |
| 2023 | KDD | Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation. | Zeyu Cao, Zhipeng Liang, Bingzhe Wu, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao |
| 2023 | WWW | Curriculum Graph Poisoning. | Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu |
| 2023 | SDM | MoVAE: A Variational AutoEncoder for Molecular Graph Generation. | Zerun Lin, Yuhan Zhang, Lixin Duan, Le Ou-Yang, Peilin Zhao |
| 2023 | SDM | Meta-Learning with Motif-based Task Augmentation for Few-Shot Molecular Property Prediction. | Ziqiao Meng, Yaoman Li, Peilin Zhao, Yang Yu, Irwin King |
| 2022 | AAAI | GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. | Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang |
| 2022 | CVPR | SVIP: Sequence VerIfication for Procedures in Videos. | Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao |
| 2022 | ICML | p-Laplacian Based Graph Neural Networks. | Guoji Fu, Peilin Zhao, Yatao Bian |
| 2022 | ICML | Local Augmentation for Graph Neural Networks. | Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu |
| 2022 | ICML | Efficient Test-Time Model Adaptation without Forgetting. | Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan |
| 2022 | WWW | Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media. | Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang, Sophia Ananiadou |
| 2022 | SIGIR | Value Penalized Q-Learning for Recommender Systems. | Chengqian Gao, Ke Xu, Kuangqi Zhou, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao |
| 2022 | SIGIR | Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. | Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao |
| 2021 | AAAI | PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning. | Qin Wang, Boyuan Wang, Zhenlei Xu, Jiaxiang Wu, Peilin Zhao, Zhen Li, Sheng Wang, Junzhou Huang, Shuguang Cui |
| 2021 | AAAI | Hierarchical Graph Capsule Network. | Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang |
| 2021 | AISTATS | Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization. | Congliang Chen, Jiawei Zhang, Li Shen, Peilin Zhao, Zhi-Quan Luo |
| 2021 | ICCV | Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. | Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang |
| 2021 | ICML | AdaXpert: Adapting Neural Architecture for Growing Data. | Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan |
| 2021 | ICML | Meta-learning Hyperparameter Performance Prediction with Neural Processes. | Ying Wei, Peilin Zhao, Junzhou Huang |
| 2021 | WACV | Context-Aware Domain Adaptation in Semantic Segmentation. | Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang |
| 2020 | AAAI | Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. | Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang |
| 2020 | AAAI | Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. | 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 | AAAI | Aggregated Gradient Langevin Dynamics. | Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian |
| 2020 | ICLR | Towards Fast Adaptation of Neural Architectures with Meta Learning. | Dongze Lian, Yin Zheng, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang, Shenghua Gao |
| 2020 | ICML | Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. | Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan |
| 2020 | IJCAI | Contextualized Point-of-Interest Recommendation. | Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang |
| 2020 | IJCAI | Relation-Aware Transformer for Portfolio Policy Learning. | Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan |
| 2019 | AAAI | Confidence Weighted Multitask Learning. | Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao |
| 2019 | AISTATS | Complexities in Projection-Free Stochastic Non-convex Minimization. | Zebang Shen, Cong Fang, Peilin Zhao, Junzhou Huang, Hui Qian |
| 2019 | ICCV | Graph Convolutional Networks for Temporal Action Localization. | Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang |
| 2019 | ICDE | AUC-MF: Point of Interest Recommendation with AUC Maximization. | Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Panos Kalnis |
| 2019 | IJCAI | Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies. | Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao |
| 2019 | IJCAI | Decentralized Optimization with Edge Sampling. | Chi Zhang, Qianxiao Li, Peilin Zhao |
| 2019 | KDD | GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. | Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis |
| 2019 | MICCAI | From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. | 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 | SDM | Robust Factorization Machine: A Doubly Capped Norms Minimization. | Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven C. H. Hoi |
| 2018 | AAAI | Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization. | Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li |
| 2018 | AAAI | Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points. | Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi |
| 2018 | ICML | Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. | Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian |
| 2018 | IJCAI | Bandit Online Learning on Graphs via Adaptive Optimization. | Peng Yang, Peilin Zhao, Xin Gao |
| 2018 | IJCAI | High-dimensional Similarity Learning via Dual-sparse Random Projection. | Dezhong Yao, Peilin Zhao, Tuan-Anh Nguyen Pham, Gao Cong |
| 2018 | KDD | Distributed Collaborative Hashing and Its Applications in Ant Financial. | Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li |
| 2018 | KDD | Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data. | Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan |
| 2018 | PAKDD | A Local Online Learning Approach for Non-linear Data. | Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li |
| 2018 | WWW | Online Compact Convexified Factorization Machine. | Xiao Lin, Wenpeng Zhang, Min Zhang, Wenwu Zhu, Jian Pei, Peilin Zhao, Junzhou Huang |
| 2018 | SIGIR | Robust Asymmetric Recommendation via Min-Max Optimization. | Peng Yang, Peilin Zhao, Vincent W. Zheng, Lizhong Ding, Xin Gao |
| 2018 | SDM | Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback. | Peng Yang, Peilin Zhao, Yong Liu, Xin Gao |
| 2017 | ICDM | Large Scale Kernel Methods for Online AUC Maximization. | Yi Ding, Chenghao Liu, Peilin Zhao, Steven C. H. Hoi |
| 2017 | ICDM | A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks. | Minghui Qiu, Peilin Zhao, Ke Zhang, Jun Huang, Xing Shi, Xiaoguang Wang, Wei Chu |
| 2017 | ICML | Projection-free Distributed Online Learning in Networks. | Wenpeng Zhang, Peilin Zhao, Wenwu Zhu, Steven C. H. Hoi, Tong Zhang |
| 2017 | IJCAI | Online Multitask Relative Similarity Learning. | Shuji Hao, Peilin Zhao, Yong Liu, Steven C. H. Hoi, Chunyan Miao |
| 2017 | IJCAI | Learning User Dependencies for Recommendation. | Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiaoli Li |
| 2017 | IJCAI | Locally Linear Factorization Machines. | Chenghao Liu, Teng Zhang, Peilin Zhao, Jun Zhou, Jianling Sun |
| 2017 | KDD | KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. | Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi |
| 2017 | WWW | Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems. | Cen Chen, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li, Minghui Qiu |
| 2017 | WWW | PSMART: Parameter Server based Multiple Additive Regression Trees System. | Jun Zhou, Qing Cui, Xiaolong Li, Peilin Zhao, Shenquan Qu, Jun Huang |
| 2016 | AAAI | Online ARIMA Algorithms for Time Series Prediction. | Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun |
| 2016 | ACML | Cost Sensitive Online Multiple Kernel Classification. | Doyen Sahoo, Steven C. H. Hoi, Peilin Zhao |
| 2016 | CIKM | Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications. | Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun, Ee-Peng Lim |
| 2016 | DASFAA | Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life. | Giduthuri Sateesh Babu, Peilin Zhao, Xiaoli Li |
| 2016 | EMNLP | Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data. | Zhen Hai, Peilin Zhao, Peng Cheng, Peng Yang, Xiaoli Li, Guangxia Li |
| 2016 | ICDM | SOAL: Second-Order Online Active Learning. | Shuji Hao, Peilin Zhao, Jing Lu, Steven C. H. Hoi, Chunyan Miao, Chi Zhang |
| 2016 | ICDM | ROM: A Robust Online Multi-task Learning Approach. | Chi Zhang, Peilin Zhao, Shuji Hao, Yeng Chai Soh, Bu-Sung Lee |
| 2016 | ICML | Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization. | Zhiqiang Xu, Peilin Zhao, Jianneng Cao, Xiaoli Li |
| 2016 | KDD | Repeat Buyer Prediction for E-Commerce. | Guimei Liu, Tam T. Nguyen, Gang Zhao, Wei Zha, Jianbo Yang, Jianneng Cao, Min Wu, Peilin Zhao, Wei Chen |
| 2016 | UAI | Efficient Multi-Class Selective Sampling on Graphs. | Peng Yang, Peilin Zhao, Zhen Hai, Wei Liu, Steven C. H. Hoi, Xiaoli Li |
| 2016 | SDM | Online Sparse Passive Aggressive Learning with Kernels. | Jing Lu, Peilin Zhao, Steven C. H. Hoi |
| 2016 | SDM | Temporal Kernel Descriptors for Learning with Time-sensitive Patterns. | Doyen Sahoo, Abhishek Sharma, Steven C. H. Hoi, Peilin Zhao |
| 2016 | SDM | Learning Correlative and Personalized Structure for Online Multi-Task Classification. | Peng Yang, Guangxia Li, Peilin Zhao, Xiaoli Li, Sujatha Das Gollapalli |
| 2015 | AAAI | An Adaptive Gradient Method for Online AUC Maximization. | Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong |
| 2015 | CIKM | Learning Relative Similarity from Data Streams: Active Online Learning Approaches. | Shuji Hao, Peilin Zhao, Steven C. H. Hoi, Chunyan Miao |
| 2015 | CIKM | A Min-Max Optimization Framework For Online Graph Classification. | Peng Yang, Peilin Zhao |
| 2015 | ICDM | An Aggressive Graph-Based Selective Sampling Algorithm for Classification. | Peng Yang, Peilin Zhao, Vincent W. Zheng, Xiaoli Li |
| 2015 | ICDM | Sparse Online Relative Similarity Learning. | Dezhong Yao, Peilin Zhao, Chen Yu, Hai Jin, Bin Li |
| 2015 | ICDM | Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications. | Peilin Zhao, Furen Zhuang, Min Wu, Xiaoli Li, Steven C. H. Hoi |
| 2015 | ICML | Adaptive Stochastic Alternating Direction Method of Multipliers. | Peilin Zhao, Jinwei Yang, Tong Zhang, Ping Li |
| 2015 | ICML | Stochastic Optimization with Importance Sampling for Regularized Loss Minimization. | Peilin Zhao, Tong Zhang |
| 2015 | IJCAI | A Boosting Algorithm for Item Recommendation with Implicit Feedback. | Yong Liu, Peilin Zhao, Aixin Sun, Chunyan Miao |
| 2015 | IJCAI | Online Learning to Rank for Content-Based Image Retrieval. | Ji Wan, Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Xingyu Gao, Dayong Wang, Yongdong Zhang, Jintao Li |
| 2014 | AAAI | Learning Relative Similarity by Stochastic Dual Coordinate Ascent. | Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven C. H. Hoi |
| 2014 | ACML | Online Passive Aggressive Active Learning and Its Applications. | Jing Lu, Peilin Zhao, Steven C. H. Hoi |
| 2014 | ICDM | High-Dimensional Data Stream Classification via Sparse Online Learning. | Dayong Wang, Pengcheng Wu, Peilin Zhao, Yue Wu, Chunyan Miao, Steven C. H. Hoi |
| 2013 | IJCAI | Large Scale Online Kernel Classification. | Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Jinfeng Zhuang, Zhiyong Liu |
| 2013 | KDD | Cost-sensitive online active learning with application to malicious URL detection. | Peilin Zhao, Steven C. H. Hoi |
| 2013 | RecSys | Online multi-task collaborative filtering for on-the-fly recommender systems. | Jialei Wang, Steven C. H. Hoi, Peilin Zhao, Zhiyong Liu |
| 2013 | UAI | Active Learning with Expert Advice. | Peilin Zhao, Steven C. H. Hoi, Jinfeng Zhuang |
| 2013 | SDM | Cost-Sensitive Double Updating Online Learning and Its Application to Online Anomaly Detection. | Steven C. H. Hoi, Peilin Zhao |
| 2012 | ICDM | Cost-Sensitive Online Classification. | Jialei Wang, Peilin Zhao, Steven C. H. Hoi |
| 2012 | ICML | Exact Soft Confidence-Weighted Learning. | Steven C. H. Hoi, Jialei Wang, Peilin Zhao |
| 2012 | ICML | Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning. | Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin, Pengcheng Wu |
| 2012 | KDD | Online feature selection for mining big data. | Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin |
| 2011 | ICML | Online AUC Maximization. | Peilin Zhao, Steven C. H. Hoi, Rong Jin, Tianbao Yang |
| 2011 | WSDM | Mining social images with distance metric learning for automated image tagging. | Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Ying He |
| 2010 | CVPR | Local features are not lonely - Laplacian sparse coding for image classification. | Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia, Peilin Zhao |
| 2010 | ICML | OTL: A Framework of Online Transfer Learning. | Peilin Zhao, Steven C. H. Hoi |