Jianye Hao

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 367

Top Venues

Chinese University of Hong Kong, Hong Kong (PHD)

Education History

Chinese University of Hong Kong, Hong Kong

PHD

Publications

Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model. ICLR (2024)
Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. CoRR (2024)
Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback. ICLR (2024)
Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning. Artif. Intell. 326 (2024)
Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. CoRR (2024)
Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma, Pengyi Li, Yan Zheng
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making. CoRR (2024)
Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li
DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation. KDD (2024)
Min Zhang, Jianye Hao, Xian Fu, Peilong Han, Hao Zhang, Lei Shi, Hongyao Tang, Yan Zheng
MFE-ETP: A Comprehensive Evaluation Benchmark for Multi-modal Foundation Models on Embodied Task Planning. CoRR (2024)
Jinyi Liu, Yifu Yuan, Jianye Hao, Fei Ni, Lingzhi Fu, Yibin Chen, Yan Zheng
Enhancing Robotic Manipulation with AI Feedback from Multimodal Large Language Models. CoRR (2024)
Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao
SheetAgent: A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models. CoRR (2024)
Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. KDD (2024)
Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. CoRR (2024)
Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning. CoRR (2024)
Xiaotian Hao, Jianye Hao, Chenjun Xiao, Kai Li, Dong Li, Yan Zheng
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces. AAAI (2024)
Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. AAAI (2024)
Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Hui-Ling Zhen, Jianye Hao, Qiang Xu, Mingxuan Yuan, Junchi Yan
LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation. CoRR (2024)
Zhihai Wang, Zijie Geng, Zhaojie Tu, Jie Wang, Yuxi Qian, Zhexuan Xu, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Bin Li, Yongdong Zhang, Feng Wu
Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms. CoRR (2024)
Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian
Reinforced In-Context Black-Box Optimization. CoRR (2024)
Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu
Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework. ICLR (2024)
Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
A survey on interpretable reinforcement learning. Mach. Learn. 113 (8) (2024)
Tianpei Yang, Heng You, Jianye Hao, Yan Zheng, Matthew E. Taylor
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning. AAAI (2024)
Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments. AAAI (2024)
Yingrong Qin, Chen Gao, Shuangqing Wei, Yue Wang, Depeng Jin, Jian Yuan, Lin Zhang, Dong Li, Jianye Hao, Yong Li
Learning from Hierarchical Structure of Knowledge Graph for Recommendation. ACM Trans. Inf. Syst. 42 (1) (2024)
Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles. AAMAS (2024)
Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR (2024)
Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, Yang Gao
WToE: Learning When to Explore in Multiagent Reinforcement Learning. IEEE Trans. Cybern. 54 (8) (2024)
Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng
DiffuserLite: Towards Real-time Diffusion Planning. CoRR (2024)
Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian
Sample-Efficient Quality-Diversity by Cooperative Coevolution. ICLR (2024)
Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. AAAI (2024)
Xinglin Zhou, Yifu Yuan, Shaofu Yang, Jianye Hao
MENTOR: Guiding Hierarchical Reinforcement Learning with Human Feedback and Dynamic Distance Constraint. CoRR (2024)
Shiwei Zhao, Xi Yuan, Runze Wu, Zhipeng Hu, Haoyu Liu, Kai Wang, Yujing Hu, Tangjie Lv, Changjie Fan, Xin T. Tong, Jiangze Han, Yan Zheng, Jianye Hao
The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies. WWW (Companion Volume) (2024)
Surya Penmetsa, Fahad Rahman Amik, Zhanguang Zhang, Yingying Fu, Yingxue Zhang, Wulong Liu, Jianye Hao
Generalizable and Relation Sensitive Netlist Representation for Analog Circuit Design. ACM Great Lakes Symposium on VLSI (2024)
Mohammad Dehghan, Mohammad Ali Alomrani, Sunyam Bagga, David Alfonso-Hermelo, Khalil Bibi, Abbas Ghaddar, Yingxue Zhang, Xiaoguang Li, Jianye Hao, Qun Liu, Jimmy Lin, Boxing Chen, Prasanna Parthasarathi, Mahdi Biparva, Mehdi Rezagholizadeh
EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems. CoRR (2024)
Yihang Xiao, Jinyi Liu, Yan Zheng, Xiaohan Xie, Jianye Hao, Mingzhi Li, Ruitao Wang, Fei Ni, Yuxiao Li, Jintian Luo, Shaoqing Jiao, Jiajie Peng
CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis. CoRR (2024)
Jialong Wu, Shaofeng Yin, Ningya Feng, Xu He, Dong Li, Jianye Hao, Mingsheng Long
iVideoGPT: Interactive VideoGPTs are Scalable World Models. CoRR (2024)
Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. CoRR (2024)
Tianze Zhou, Fubiao Zhang, Kun Shao, Zipeng Dai, Kai Li, Wenhan Huang, Weixun Wang, Bin Wang, Dong Li, Wulong Liu, Jianye Hao
Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. IEEE Trans. Games 16 (2) (2024)
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. Mach. Learn. 113 (6) (2024)
Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan
A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning. AAMAS (2024)
Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms. AAMAS (2024)
Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey. CoRR (2024)
Francesco Cursi, Marcus Kalander, Shuang Wu, Xidi Xue, Yu Tian, Guangjian Tian, Xingyue Quan, Jianye Hao
Safe Table Tennis Swing Stroke with Low-Cost Hardware. ICRA (2024)
Yueen Ma, Zixing Song, Yuzheng Zhuang, Jianye Hao, Irwin King
A Survey on Vision-Language-Action Models for Embodied AI. CoRR (2024)
Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback. CoRR (2024)
Hao Zhang, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor
PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning. AAMAS (2024)
Mohammad Dehghan, Mohammad Ali Alomrani, Sunyam Bagga, David Alfonso-Hermelo, Khalil Bibi, Abbas Ghaddar, Yingxue Zhang, Xiaoguang Li, Jianye Hao, Qun Liu, Jimmy Lin, Boxing Chen, Prasanna Parthasarathi, Mahdi Biparva, Mehdi Rezagholizadeh
EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems. ACL (1) (2024)
Hebin Liang, Zibin Dong, Yi Ma, Xiaotian Hao, Yan Zheng, Jianye Hao
A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving. CIKM (2023)
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 (2023)
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) (2023)
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)
Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer. ICML (2023)
Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks. CoRR (2023)
Haozhi Wang, Yinchuan Li, Qing Wang, Yunfeng Shao, Jianye Hao
Multi-agent Policy Reciprocity with Theoretical Guarantee. CoRR (2023)
Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model. CoRR (2023)
Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution. ICML (2023)
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 (2023)
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 (2023)
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)
Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. CoRR (2023)
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)
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) (2023)
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)
Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
Generalized Universal Domain Adaptation with Generative Flow Networks. ACM Multimedia (2023)
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 (2023)
Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao
GFlowNets with Human Feedback. CoRR (2023)
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)
Junlong Lyu, Zhitang Chen, Wenlong Lyu, Jianye Hao
Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization. CoRR (2023)
Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments. CoRR (2023)
Filippos Christianos, Georgios Papoudakis, Matthieu Zimmer, Thomas Coste, Zhihao Wu, Jingxuan Chen, Khyati Khandelwal, James Doran, Xidong Feng, Jiacheng Liu, Zheng Xiong, Yicheng Luo, Jianye Hao, Kun Shao, Haitham Bou-Ammar, Jun Wang
Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning. CoRR (2023)
Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization. ECAI (2023)
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 (2023)
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)
Siqi Chen, Qisong Sun, Heng You, Tianpei Yang, Jianye Hao
Transfer Learning based Agent for Automated Negotiation. AAMAS (2023)
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 (2023)
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)
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)
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 (2023)
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)
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)
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)
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 (2023)
Peiyu Wang, Anqi Lu, Xing Li, Junjie Ye, Lei Chen, Mingxuan Yuan, Jianye Hao, Junchi Yan
EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing. ICCAD (2023)
Haozhi Wang, Yunfeng Shao, Jianye Hao, Yinchuan Li
Regularized Offline GFlowNets. Tiny Papers @ ICLR (2023)
Yongliang Lv, Yuanqiang Yu, Yan Zheng, Jianye Hao, Yongming Wen, Yue Yu
Limited Information Opponent Modeling. ICANN (8) (2023)
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)
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)
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 (2023)
Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. CoRR (2023)
Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates
Spectral Augmentations for Graph Contrastive Learning. AISTATS (2023)
Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng
Traj-MAE: Masked Autoencoders for Trajectory Prediction. ICCV (2023)
Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates
Spectral Augmentations for Graph Contrastive Learning. CoRR (2023)
Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao
CFlowNets: Continuous Control with Generative Flow Networks. ICLR (2023)
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 (2023)
Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks. ICLR (2023)
Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer. CoRR (2023)
Tianpei Yang, Weixun Wang, Jianye Hao, Matthew E. Taylor, Yong Liu, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Chunxu Ren, Ye Huang, Jiangcheng Zhu, Yang Gao
ASN: action semantics network for multiagent reinforcement learning. Auton. Agents Multi Agent Syst. 37 (2) (2023)
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 (2023)
Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen
Debiased Recommendation with User Feature Balancing. ACM Trans. Inf. Syst. 41 (4) (2023)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jianye Hao