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2020 – today
- 2023
[j38]Yuanqiang Yu, Peng Zhang, Kai Zhao
, Yan Zheng, Jianye Hao:
Accelerating deep reinforcement learning via knowledge-guided policy network. Auton. Agents Multi Agent Syst. 37(1): 17 (2023)- [j37]Wei Chen, Zhiwei Li, Hongyi Fang, Qianyuan Yao, Cheng Zhong, Jianye Hao, Qi Zhang, Xuanjing Huang, Jiajie Peng, Zhongyu Wei:
A benchmark for automatic medical consultation system: frameworks, tasks and datasets. Bioinform. 39(1) (2023) - [j36]Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao:
A Unified Framework for Layout Pattern Analysis With Deep Causal Estimation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(4): 1199-1211 (2023) - [j35]Yuanheng Zhu, Weifan Li, Mengchen Zhao, Jianye Hao, Dongbin Zhao:
Empirical Policy Optimization for n-Player Markov Games. IEEE Trans. Cybern. 53(10): 6443-6455 (2023) - [j34]Yunqi Wang, Furui Liu, Zhitang Chen, Yik-Chung Wu, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms. IEEE Trans. Image Process. 32: 235-250 (2023) - [j33]Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao:
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3966-3978 (2023) - [c181]Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates:
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. AAAI 2023: 4711-4719 - [c180]Hebin Liang, Yi Ma, Zilin Cao, Tianyang Liu, Fei Ni, Zhigang Li, Jianye Hao:
SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem. AAAI 2023: 8720-8727 - [c179]Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. AAAI 2023: 10435-10443 - [c178]Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng:
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. AAAI 2023: 14400-14407 - [c177]Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates:
Spectral Augmentations for Graph Contrastive Learning. AISTATS 2023: 11213-11266 - [c176]Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan:
Off-Beat Multi-Agent Reinforcement Learning. AAMAS 2023: 2424-2426 - [c175]Jizhou Wu, Tianpei Yang, Xiaotian Hao, Jianye Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor:
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. AAMAS 2023: 2460-2462 - [c174]Siqi Chen, Qisong Sun, Heng You, Tianpei Yang, Jianye Hao:
Transfer Learning based Agent for Automated Negotiation. AAMAS 2023: 2895-2898 - [c173]Mingyang Sun, Mengchen Zhao, Yaqing Hou, Minglei Li, Huang Xu, Songcen Xu, Jianye Hao:
Co-speech Gesture Synthesis by Reinforcement Learning with Contrastive Pretrained Rewards. CVPR 2023: 2331-2340 - [c172]Shixiong Kai, Chak-Wa Pui, Fangzhou Wang, Shougao Jiang, Bin Wang, Yu Huang, Jianye Hao:
TOFU: A Two-Step Floorplan Refinement Framework for Whitespace Reduction. DATE 2023: 1-5 - [c171]Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia:
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. ICLR 2023 - [c170]Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang:
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks. ICLR 2023 - [c169]Jianye Hao, Pengyi Li, Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng:
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. ICLR 2023 - [c168]Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang:
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks. ICLR 2023 - [c167]Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao:
GFlowNets with Human Feedback. Tiny Papers @ ICLR 2023 - [c166]Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao:
CFlowNets: Continuous Control with Generative Flow Networks. ICLR 2023 - [c165]Haozhi Wang, Yunfeng Shao, Jianye Hao, Yinchuan Li:
Regularized Offline GFlowNets. Tiny Papers @ ICLR 2023 - [c164]Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han:
Out-of-distribution Detection with Implicit Outlier Transformation. ICLR 2023 - [c163]Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan:
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. ICLR 2023 - [c162]Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo:
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer. ICML 2023: 18346-18364 - [c161]Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu:
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution. ICML 2023: 19490-19503 - [c160]Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang:
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL. ICML 2023: 26087-26105 - [c159]Ming Yan, Junjie Chen, Hangyu Mao, Jiajun Jiang, Jianye Hao, Xingjian Li, Zhao Tian, Zhichao Chen, Dong Li, Zhangkong Xian, Yanwei Guo, Wulong Liu, Bin Wang, Yuefeng Sun, Yongshun Cui:
Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. ICSE-SEIP 2023: 343-354 - [c158]Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao:
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. IJCAI 2023: 3939-3947 - [c157]Yuanqiang Yu, Tianpei Yang, Yongliang Lv, Yan Zheng, Jianye Hao:
T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler. IJCNN 2023: 1-8 - [c156]Siqi Chen, Tianpei Yang, Heng You, Jianing Zhao, Jianye Hao, Gerhard Weiss:
Transfer Reinforcement Learning Based Negotiating Agent Framework. PAKDD (2) 2023: 386-397 - [c155]Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. PAKDD (3) 2023: 400-413 - [c154]Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li:
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. SIGIR 2023: 2466-2470 - [c153]Zhenyang Li, Yancheng Dong, Chen Gao, Yizhou Zhao, Dong Li, Jianye Hao, Kai Zhang, Yong Li, Zhi Wang:
Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System. WWW 2023: 4041-4049 - [e1]Makoto Yokoo, Hong Qiao, Yevgeniy Vorobeychik, Jianye Hao:
Distributed Artificial Intelligence - 4th International Conference, DAI 2022, Tianjin, China, December 15-17, 2022, Proceedings. Lecture Notes in Computer Science 13824, Springer 2023, ISBN 978-3-031-25548-9 [contents] - [i115]Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng:
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. CoRR abs/2301.03412 (2023) - [i114]Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning. CoRR abs/2301.08502 (2023) - [i113]Junlong Lyu, Zhitang Chen, Wenlong Lyu, Jianye Hao:
Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization. CoRR abs/2301.12640 (2023) - [i112]Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates:
Spectral Augmentations for Graph Contrastive Learning. CoRR abs/2302.02909 (2023) - [i111]Hongyao Tang, Min Zhang, Jianye Hao:
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting. CoRR abs/2303.01391 (2023) - [i110]Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao:
CFlowNets: Continuous Control with Generative Flow Networks. CoRR abs/2303.02430 (2023) - [i109]Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang:
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks. CoRR abs/2303.02448 (2023) - [i108]Bowen Wang, Chen Liang, Jiaze Wang, Furui Liu, Shaogang Hao, Dong Li, Jianye Hao, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng:
DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction. CoRR abs/2303.02875 (2023) - [i107]Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han:
Out-of-distribution Detection with Implicit Outlier Transformation. CoRR abs/2303.05033 (2023) - [i106]Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
Traj-MAE: Masked Autoencoders for Trajectory Prediction. CoRR abs/2303.06697 (2023) - [i105]Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. CoRR abs/2303.17984 (2023) - [i104]Haozhi Wang, Yinchuan Li, Qing Wang, Yunfeng Shao, Jianye Hao:
Multi-agent Policy Reciprocity with Theoretical Guarantee. CoRR abs/2304.05632 (2023) - [i103]Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao:
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. CoRR abs/2304.11989 (2023) - [i102]Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates:
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. CoRR abs/2305.01204 (2023) - [i101]Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu:
Generalized Universal Domain Adaptation with Generative Flow Networks. CoRR abs/2305.04466 (2023) - [i100]Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia:
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. CoRR abs/2305.05239 (2023) - [i99]Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao:
GFlowNets with Human Feedback. CoRR abs/2305.07036 (2023) - [i98]Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang:
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL. CoRR abs/2305.19923 (2023) - [i97]Xuechen Mu, Hankz Hankui Zhuo, Chen Chen, Kai Zhang, Chao Yu, Jianye Hao:
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2306.08359 (2023) - [i96]Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo:
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer. CoRR abs/2306.14744 (2023) - [i95]Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan:
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning. CoRR abs/2306.15503 (2023) - [i94]Yueen Ma, Dafeng Chi, Jingjing Li, Yuzheng Zhuang, Jianye Hao, Irwin King:
VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder. CoRR abs/2307.00852 (2023) - [i93]Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han:
Exploiting Counter-Examples for Active Learning with Partial labels. CoRR abs/2307.07413 (2023) - [i92]Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen:
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization. CoRR abs/2308.01207 (2023) - [i91]Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li:
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. CoRR abs/2308.03470 (2023) - [i90]Zhihai Wang, Lei Chen, Jie Wang, Xing Li, Yinqi Bai, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu:
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design. CoRR abs/2309.03208 (2023) - 2022
- [j32]Caiwei Zhen, Yuxian Wang, Jiaquan Geng, Lu Han, Jingyi Li, Jinghao Peng, Tao Wang, Jianye Hao, Xuequn Shang, Zhongyu Wei, Peican Zhu, Jiajie Peng:
A review and performance evaluation of clustering frameworks for single-cell Hi-C data. Briefings Bioinform. 23(6) (2022) - [j31]Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan-Rhys Griffiths, Alexandre Max Maraval, Jianye Hao, Jun Wang, Jan Peters, Haitham Bou-Ammar:
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. J. Artif. Intell. Res. 74: 1269-1349 (2022) - [j30]Jian Zhao, Youpeng Zhao, Weixun Wang, Mingyu Yang, Xunhan Hu, Wengang Zhou, Jianye Hao, Houqiang Li:
Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents. Frontiers Inf. Technol. Electron. Eng. 23(7): 1032-1042 (2022) - [j29]Chengwei Zhang, Zhuobing Han, Bingfu Liu, Wanli Xue, Jianye Hao, Xiaohong Li, Dou An, Rong Chen:
SCC-rFMQ: a multiagent reinforcement learning method in cooperative Markov games with continuous actions. Int. J. Mach. Learn. Cybern. 13(7): 1927-1944 (2022) - [j28]Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang:
Learning to select cuts for efficient mixed-integer programming. Pattern Recognit. 123: 108353 (2022) - [c152]Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang:
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. AAAI 2022: 8441-8449 - [c151]Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng:
Multiagent Q-learning with Sub-Team Coordination. AAMAS 2022: 1630-1632 - [c150]Zipeng Dai, Tianze Zhou, Kun Shao, David Henry Mguni, Bin Wang, Jianye Hao:
Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System. CoRL 2022: 946-955 - [c149]Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng:
LHNN: lattice hypergraph neural network for VLSI congestion prediction. DAC 2022: 1297-1302 - [c148]Yining Li, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang:
Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator. DAI 2022: 29-44 - [c147]Yixu Gao, Kun Shao, Zhijian Duan, Zhongyu Wei, Dong Li, Bin Wang, Mengchen Zhao, Jianye Hao:
Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity. DASFAA (3) 2022: 389-400 - [c146]Chang Feng, Wenlong Lyu, Zhitang Chen, Junjie Ye, Mingxuan Yuan, Jianye Hao:
Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis. ICCAD 2022: 56:1-56:9 - [c145]Xinyi Zhou, Junjie Ye, Chak-Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration. ICCAD 2022: 57:1-57:9 - [c144]Zheng Fang, Ziyun Zhang, Guojie Song, Yingxue Zhang, Dong Li, Jianye Hao, Xi Wang:
Invariant Factor Graph Neural Networks. ICDM 2022: 933-938 - [c143]Pengjie Gu, Mengchen Zhao, Jianye Hao, Bo An:
Online Ad Hoc Teamwork under Partial Observability. ICLR 2022 - [c142]Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang:
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation. ICLR 2022 - [c141]Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess:
Learning State Representations via Retracing in Reinforcement Learning. ICLR 2022 - [c140]Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao:
Neuro-Symbolic Hierarchical Rule Induction. ICML 2022: 7583-7615 - [c139]Pengjie Gu, Mengchen Zhao, Chen Chen, Dong Li, Jianye Hao, Bo An:
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning. ICML 2022: 7902-7918 - [c138]Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang:
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. ICML 2022: 12979-12997 - [c137]Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. ICML 2022: 14173-14196 - [c136]Li Wang, Yupeng Zhang, Yujing Hu, Weixun Wang, Chongjie Zhang, Yang Gao, Jianye Hao, Tangjie Lv, Changjie Fan:
Individual Reward Assisted Multi-Agent Reinforcement Learning. ICML 2022: 23417-23432 - [c135]Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. ICRA 2022: 7544-7550 - [c134]Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang:
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. IJCAI 2022: 3416-3422 - [c133]Xiaopeng Zhang, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Evangeline F. Y. Young, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao:
RCANet: Root Cause Analysis via Latent Variable Interaction Modeling for Yield Improvement. ITC 2022: 100-107 - [c132]Mohammad Amini, Zhanguang Zhang, Surya Penmetsa, Yingxue Zhang, Jianye Hao, Wulong Liu:
Generalizable Floorplanner through Corner Block List Representation and Hypergraph Embedding. KDD 2022: 2692-2702 - [c131]Jinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, Pheng-Ann Heng:
Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. MICCAI (3) 2022: 217-226 - [c130]Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng:
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing. NeurIPS 2022 - [c129]Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu:
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis. NeurIPS 2022 - [c128]Ruoyu Cheng, Xianglong Lyu, Yang Li, Junjie Ye, Jianye Hao, Junchi Yan:
The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design. NeurIPS 2022 - [c127]Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew E. Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng:
Multiagent Q-learning with Sub-Team Coordination. NeurIPS 2022 - [c126]Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo:
DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning. NeurIPS 2022 - [c125]Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning. NeurIPS 2022 - [c124]Shuwen Yang, Zhihao Yang, Dong Li, Yingxue Zhang, Zhanguang Zhang, Guojie Song, Jianye Hao:
Versatile Multi-stage Graph Neural Network for Circuit Representation. NeurIPS 2022 - [c123]Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang:
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning. ECML/PKDD (5) 2022: 377-392 - [c122]Heng You, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor:
Cross-domain adaptive transfer reinforcement learning based on state-action correspondence. UAI 2022: 2299-2309 - [c121]Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King:
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. WSDM 2022: 94-102 - [i89]Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. CoRR abs/2201.06056 (2022) - [i88]Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo:
Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition. CoRR abs/2202.01256 (2022) - [i87]Jian Zhao, Yue Zhang, Xunhan Hu, Weixun Wang, Wengang Zhou, Jianye Hao, Jiangcheng Zhu, Houqiang Li:
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization. CoRR abs/2202.04427 (2022) - [i86]Mengyue Yang, Xinyu Cai, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang:
Generalizable Information Theoretic Causal Representation. CoRR abs/2202.08388 (2022) - [i85]Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. CoRR abs/2203.02214 (2022) - [i84]Xiaotian Hao, Weixun Wang, Hangyu Mao, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang, Jianye Hao:
API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks. CoRR abs/2203.05285 (2022) - [i83]Jian Zhao, Youpeng Zhao, Weixun Wang, Mingyu Yang, Xunhan Hu, Wengang Zhou, Jianye Hao, Houqiang Li:
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents. CoRR abs/2203.08454 (2022) - [i82]Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Zhen Wang:
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. CoRR abs/2203.08553 (2022) - [i81]Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng:
LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction. CoRR abs/2203.12831 (2022) - [i80]Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang:
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. CoRR abs/2204.02877 (2022) - [i79]