Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPeilin Zhao
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j40]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): 6209-6223 (2022)- [j39]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): 6501-6516 (2022) - [j38]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): 236-248 (2022) - [j37]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): 5484-5495 (2022) - [j36]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): 908-918 (2022) - [c103]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: 4014-4021 - [c102]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: 102-107 - [c101]Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao:
SVIP: Sequence VerIfication for Procedures in Videos. CVPR 2022: 19858-19870 - [c100]Guoji Fu, Peilin Zhao, Yatao Bian:
p-Laplacian Based Graph Neural Networks. ICML 2022: 6878-6917 - [c99]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: 14054-14072 - [c98]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan:
Efficient Test-Time Model Adaptation without Forgetting. ICML 2022: 16888-16905 - [c97]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: 353-362 - [c96]Chengqian Gao, Ke Xu, Kuangqi Zhou, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao:
Value Penalized Q-Learning for Recommender Systems. SIGIR 2022: 2008-2012 - [c95]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: 1148-1158 - [i79]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 abs/2201.09637 (2022) - [i78]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 abs/2201.13311 (2022) - [i77]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 abs/2202.08455 (2022) - [i76]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 abs/2203.01693 (2022) - [i75]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 abs/2203.10853 (2022) - [i74]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan:
Efficient Test-Time Model Adaptation without Forgetting. CoRR abs/2204.02610 (2022) - [i73]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 abs/2204.07742 (2022) - [i72]Qianggang Ding, Deheng Ye, Tingyang Xu, Peilin Zhao:
GPN: A Joint Structural Learning Framework for Graph Neural Networks. CoRR abs/2205.05964 (2022) - [i71]Shibo Feng, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Fan Lin, Peilin Zhao:
Multi-scale Attention Flow for Probabilistic Time Series Forecasting. CoRR abs/2205.07493 (2022) - [i70]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 abs/2205.10014 (2022) - [i69]Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li:
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. CoRR abs/2205.11332 (2022) - [i68]Ke Xu, Jianqiao Wangni, Yifan Zhang, Deheng Ye, Jiaxiang Wu, Peilin Zhao:
Quantized Adaptive Subgradient Algorithms and Their Applications. CoRR abs/2208.05631 (2022) - [i67]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 abs/2209.07921 (2022) - [i66]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 abs/2209.08928 (2022) - [i65]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 abs/2209.13178 (2022) - [i64]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 abs/2209.15315 (2022) - [i63]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 abs/2210.07634 (2022) - [i62]Chengqian Gao, Ke Xu, Liu Liu, Deheng Ye, Peilin Zhao, Zhiqiang Xu:
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation. CoRR abs/2210.10469 (2022) - [i61]Zeyu Cao, Zhipeng Liang, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao, Bingzhe Wu:
Vertical Federated Linear Contextual Bandits. CoRR abs/2210.11050 (2022) - [i60]Yiqiang Yi, Xu Wan, Kangfei Zhao, Le Ou-Yang, Peilin Zhao:
Predicting Protein-Ligand Binding Affinity with Equivariant Line Graph Network. CoRR abs/2210.16098 (2022) - [i59]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 abs/2211.16771 (2022) - 2021
- [j35]Guangxia Li, Jia Liu, Xiao Lu, Peilin Zhao, Yulong Shen, Dusit Niyato:
Decentralized Online Learning With Compressed Communication for Near-Sensor Data Analytics. IEEE Commun. Lett. 25(9): 2958-2962 (2021) - [j34]Xiaoli Li, Peilin Zhao, Min Wu, Zhenghua Chen, Le Zhang:
Deep learning for human activity recognition. Neurocomputing 444: 214-216 (2021) - [j33]Kelong Mao, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Peilin Zhao:
Molecular graph enhanced transformer for retrosynthesis prediction. Neurocomputing 457: 193-202 (2021) - [j32]Steven C. H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao:
Online learning: A comprehensive survey. Neurocomputing 459: 249-289 (2021) - [j31]Zhibin Hu, Jiachun Wang, Yan Yan, Peilin Zhao, Jian Chen, Jin Huang:
Neural graph personalized ranking for Top-N Recommendation. Knowl. Based Syst. 213: 106426 (2021) - [j30]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: 553-564 (2021) - [j29]Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning With Limited Budgets. IEEE Trans. Knowl. Data Eng. 33(6): 2680-2692 (2021) - [c94]Qin Wang, Boyuan Wang, Zhenlei Xu, Jiaxiang Wu, Peilin Zhao, Zhen Li, Sheng Wang, Junzhou Huang, Shuguang Cui:
PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning. AAAI 2021: 617-625 - [c93]Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang:
Hierarchical Graph Capsule Network. AAAI 2021: 10603-10611 - [c92]Congliang Chen, Jiawei Zhang, Li Shen, Peilin Zhao, Zhi-Quan Luo:
Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization. AISTATS 2021: 1594-1602 - [c91]Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang:
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. ICCV 2021: 9174-9183 - [c90]Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan:
AdaXpert: Adapting Neural Architecture for Growing Data. ICML 2021: 8184-8194 - [c89]Ying Wei, Peilin Zhao, Junzhou Huang:
Meta-learning Hyperparameter Performance Prediction with Neural Processes. ICML 2021: 11058-11067 - [c88]Minli Li, Peilin Zhao, Yifan Zhang, Shuaicheng Niu, Qingyao Wu, Mingkui Tan:
Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling. ACM Multimedia 2021: 5038-5046 - [c87]Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn:
Meta-learning with an Adaptive Task Scheduler. NeurIPS 2021: 7497-7509 - [c86]Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang:
Context-Aware Domain Adaptation in Semantic Segmentation. WACV 2021: 514-524 - [i58]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. CoRR abs/2102.10301 (2021) - [i57]Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets. CoRR abs/2103.00219 (2021) - [i56]Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr:
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. CoRR abs/2104.07145 (2021) - [i55]Dezhong Yao, Peilin Zhao, Chen Yu, Hai Jin, Bin Li:
Sparse online relative similarity learning. CoRR abs/2104.07501 (2021) - [i54]Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang:
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2105.10843 (2021) - [i53]Hongteng Xu, Peilin Zhao, Junzhou Huang, Dixin Luo:
Learning Graphon Autoencoders for Generative Graph Modeling. CoRR abs/2105.14244 (2021) - [i52]Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan:
AdaXpert: Adapting Neural Architecture for Growing Data. CoRR abs/2107.00254 (2021) - [i51]Songtao Liu, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu:
Local Augmentation for Graph Neural Networks. CoRR abs/2109.03856 (2021) - [i50]Chengqian Gao, Ke Xu, Peilin Zhao:
Value Penalized Q-Learning for Recommender Systems. CoRR abs/2110.07923 (2021) - [i49]Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn:
Meta-learning with an Adaptive Task Scheduler. CoRR abs/2110.14057 (2021) - [i48]Guoji Fu, Peilin Zhao, Yatao Bian:
p-Laplacian Based Graph Neural Networks. CoRR abs/2111.07337 (2021) - [i47]Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Module for Temporal Action Localization in Videos. CoRR abs/2112.00302 (2021) - [i46]Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao:
SVIP: Sequence VerIfication for Procedures in Videos. CoRR abs/2112.06447 (2021) - [i45]Chaochao Yan, Peilin Zhao, Chan Lu, Yang Yu, Junzhou Huang:
RetroComposer: Discovering Novel Reactions by Composing Templates for Retrosynthesis Prediction. CoRR abs/2112.11225 (2021) - 2020
- [j28]Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang, Peilin Zhao:
Nonparametric Topic Modeling with Neural Inference. Neurocomputing 399: 296-306 (2020) - [j27]Guangxia Li, Peilin Zhao, Tao Mei, Peng Yang, Yulong Shen, Kuiyu Chang, Steven C. H. Hoi:
Collaborative online ranking algorithms for multitask learning. Knowl. Inf. Syst. 62(6): 2327-2348 (2020) - [j26]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. IEEE Trans. Image Process. 29: 7834-7844 (2020) - [j25]Peilin Zhao, Dayong Wang, Pengcheng Wu, Steven C. H. Hoi:
A Unified Framework for Sparse Online Learning. ACM Trans. Knowl. Discov. Data 14(5): 59:1-59:20 (2020) - [j24]Xiaoshuang Chen, Yin Zheng, Peilin Zhao, Zhuxi Jiang, Wenye Ma, Junzhou Huang:
A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding. IEEE Trans. Knowl. Data Eng. 32(6): 1036-1049 (2020) - [c85]Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang:
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. AAAI 2020: 549-556 - [c84]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:
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. AAAI 2020: 6672-6679 - [c83]Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian:
Aggregated Gradient Langevin Dynamics. AAAI 2020: 6746-6753 - [c82]Dongze Lian, Yin Zheng, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang, Shenghua Gao:
Towards Fast Adaptation of Neural Architectures with Meta Learning. ICLR 2020 - [c81]Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. ICML 2020: 3822-3831 - [c80]Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang:
Contextualized Point-of-Interest Recommendation. IJCAI 2020: 2484-2490 - [c79]Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan:
Relation-Aware Transformer for Portfolio Policy Learning. IJCAI 2020: 4647-4653 - [c78]Sifan Wu, Xi Xiao, Qianggang Ding, Peilin Zhao, Ying Wei, Junzhou Huang:
Adversarial Sparse Transformer for Time Series Forecasting. NeurIPS 2020 - [c77]Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang:
RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist. NeurIPS 2020 - [i44]Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang:
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. CoRR abs/2001.06362 (2020) - [i43]Jiezhang Cao, Langyuan Mo, Qing Du, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Joint Wasserstein Distribution Matching. CoRR abs/2003.00389 (2020) - [i42]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. CoRR abs/2003.03051 (2020) - [i41]Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang:
Context-Aware Domain Adaptation in Semantic Segmentation. CoRR abs/2003.04010 (2020) - [i40]Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li:
Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization. CoRR abs/2003.05610 (2020) - [i39]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Disturbance-immune Weight Sharing for Neural Architecture Search. CoRR abs/2003.13089 (2020) - [i38]Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan:
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19. CoRR abs/2005.01577 (2020) - [i37]Tian Bian, Xi Xiao, Tingyang Xu, Yu Rong, Wenbing Huang, Peilin Zhao, Junzhou Huang:
Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels? CoRR abs/2007.05970 (2020) - [i36]Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. CoRR abs/2007.07197 (2020) - [i35]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR abs/2007.07222 (2020) - [i34]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:
FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR abs/2007.13518 (2020) - [i33]Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang:
RetroXpert: Decompose Retrosynthesis Prediction like a Chemist. CoRR abs/2011.02893 (2020) - [i32]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. CoRR abs/2011.12582 (2020) - [i31]Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang:
Hierarchical Graph Capsule Network. CoRR abs/2012.08734 (2020)
2010 – 2019
- 2019
- [j23]Guangxia Li, Yulong Shen, Peilin Zhao, Xiao Lu, Jia Liu, Yangyang Liu, Steven C. H. Hoi:
Detecting cyberattacks in industrial control systems using online learning algorithms. Neurocomputing 364: 338-348 (2019) - [j22]Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang:
Adaptive Cost-Sensitive Online Classification. IEEE Trans. Knowl. Data Eng. 31(2): 214-228 (2019) - [c76]Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao:
Confidence Weighted Multitask Learning. AAAI 2019: 5636-5643 - [c75]Zebang Shen, Cong Fang, Peilin Zhao, Junzhou Huang, Hui Qian:
Complexities in Projection-Free Stochastic Non-convex Minimization. AISTATS 2019: 2868-2876 - [c74]Guangxia Li, Peilin Zhao, Xiao Lu, Jia Liu, Yulong Shen:
Data Analytics for Fog Computing by Distributed Online Learning with Asynchronous Update. ICC 2019: 1-6 - [c73]Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang:
Graph Convolutional Networks for Temporal Action Localization. ICCV 2019: 7093-7102 - [c72]Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Panos Kalnis:
AUC-MF: Point of Interest Recommendation with AUC Maximization. ICDE 2019: 1558-1561 - [c71]Chi Zhang, Qianxiao Li, Peilin Zhao:
Decentralized Optimization with Edge Sampling. IJCAI 2019: 658-664 - [c70]Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao:
Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies. IJCAI 2019: 3023-3030 - [c69]Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis:
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. KDD 2019: 705-713 - [c68]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:
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. MICCAI (1) 2019: 360-368 - [c67]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang:
NAT: Neural Architecture Transformer for Accurate and Compact Architectures. NeurIPS 2019: 735-747 - [c66]Ho Chung Leon Law, Peilin Zhao, Leung Sing Chan, Junzhou Huang, Dino Sejdinovic:
Hyperparameter Learning via Distributional Transfer. NeurIPS 2019: 6801-6812 - [c65]Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven C. H. Hoi:
Robust Factorization Machine: A Doubly Capped Norms Minimization. SDM 2019: 738-746 - [i30]Yawei Zhao, Chen Yu, Peilin Zhao, Ji Liu:
Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend. CoRR abs/1901.10593 (2019) - [i29]Ying Wei, Peilin Zhao, Huaxiu Yao, Junzhou Huang:
Transferable Neural Processes for Hyperparameter Optimization. CoRR abs/1909.03209 (2019) - [i28]Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Networks for Temporal Action Localization. CoRR abs/1909.03252 (2019) - [i27]Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian:
Aggregated Gradient Langevin Dynamics. CoRR abs/1910.09223 (2019) - [i26]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang:
NAT: Neural Architecture Transformer for Accurate and Compact Architectures. CoRR abs/1910.14488 (2019) - [i25]Yifan Zhang, Ying Wei, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR abs/1911.07293 (2019) - [i24]Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning with Limited Budgets. CoRR abs/1911.07498 (2019) - [i23]Guangxia Li, Yulong Shen, Peilin Zhao, Xiao Lu, Jia Liu, Yangyang Liu, Steven C. H. Hoi:
Detecting Cyberattacks in Industrial Control Systems Using Online Learning Algorithms. CoRR abs/1912.03589 (2019) - [i22]Deheng Ye, Zhao Liu, Mingfei Sun,