Jianye Hao

537 papers A* 148A 46B 21C 5Misc 3Journal 266Unranked 45
YearRankTypeTitle / Venue / Authors
2026 A* conf
AFE-Master: Enhancing LLM-Driven Autonomous Feature Engineering with Domain-Specific Language Parsing and Guided Local Search.
WWW
Hebin Liang, Jianye Hao, Jinyi Liu, Yi Ma, Zilin Cao, Jing Liang, Kun Shao, Zhaocheng Du, Fei Ni, Yifu Yuan, Yan Zheng
2026 J jnl
ActionCodec: What Makes for Good Action Tokenizers.
CoRR
Zibin Dong, Yicheng Liu, Shiduo Zhang, Baijun Ye, Yifu Yuan, Fei Ni, Jingjing Gong, Xipeng Qiu, Hang Zhao, Yinchuan Li, Jianye Hao
2026 A* conf
AgentSwift: Efficient LLM Agent Design via Value-Guided Hierarchical Search.
AAAI
Yu Li, Lehui Li, Zhihao Wu, Qingmin Liao, Jianye Hao, Kun Shao, Fengli Xu
2026 J jnl
Extracting and Following Paths for Robust Relational Reasoning with Large Language Models.
Trans. Mach. Learn. Res.
Ge Zhang, Mohammad Ali Alomrani, Hongjian Gu, Jiaming Zhou, Yaochen Hu, Bin Wang, Qun Liu, Mark Coates, Yingxue Zhang, Jianye Hao
2026 J jnl
Global Prior Meets Local Consistency: Dual-Memory Augmented Vision-Language-Action Model for Efficient Robotic Manipulation.
CoRR
Zaijing Li, Bing Hu, Rui Shao, Gongwei Chen, Dongmei Jiang, Pengwei Xie, Jianye Hao, Liqiang Nie
2026 J jnl
K^2-Agent: Co-Evolving Know-What and Know-How for Hierarchical Mobile Device Control.
CoRR
Zhe Wu, Donglin Mo, Hongjin Lu, Junliang Xing, Jianheng Liu, Yuheng Jing, Kai Li, Kun Shao, Jianye Hao, Yuanchun Shi
2026 J jnl
OpenPyRo-A1: An Open Python-Based Low-Cost Bimanual Robot for Embodied AI.
IEEE Robotics Autom. Lett.
Helong Huang, Christopher E. Mower, Guowei Huang, Sarthak Das, Magnus Dierking, Guangyuan Luo, Kai Tan, Xi Chen, Yehai Yang, Yingbing Chen, Yiming Zeng, Yinchuan Li, Zhanpeng Zhang, Shuang Wu, Yingxue Zhang, Weichao Qiu, Tongtong Cao, Mian Qin, Sajjad Pakdamansavoji, Yuecheng Liu, Yuzheng Zhuang, Guangjian Tian, Jianye Hao, Jun Wang, Haitham Bou-Ammar, Xingyue Quan
2026 J jnl
Ratio-Variance Regularized Policy Optimization for Efficient LLM Fine-tuning.
CoRR
Yu Luo, Shuo Han, Yihan Hu, Dong Li, Jianye Hao
2026 J jnl
Re
CoRR
Pinzheng Wang, Shuli Xu, Juntao Li, Yu Luo, Dong Li, Jianye Hao, Min Zhang
2026 J jnl
Signaling-Driven Incentive Communication for Enhanced Multiagent Reinforcement Learning in Dynamic Environments.
IEEE Trans. Cybern.
Kexing Peng, Pengyi Li, Jianye Hao
2026 J jnl
Why Attention Patterns Exist: A Unifying Temporal Perspective Analysis.
CoRR
Qingyue Yang, Jie Wang, Xing Li, Yinqi Bai, Xialiang Tong, Huiling Zhen, Jianye Hao, Mingxuan Yuan, Bin Li
2025 A* conf
3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds.
ICLR
Hengshuo Chu, Xiang Deng, Qi Lv, Xiaoyang Chen, Yinchuan Li, Jianye Hao, Liqiang Nie
2025 J jnl
3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds.
CoRR
Hengshuo Chu, Xiang Deng, Qi Lv, Xiaoyang Chen, Yinchuan Li, Jianye Hao, Liqiang Nie
2025 J jnl
3D-MoE: A Mixture-of-Experts Multi-modal LLM for 3D Vision and Pose Diffusion via Rectified Flow.
CoRR
Yueen Ma, Yuzheng Zhuang, Jianye Hao, Irwin King
2025 A* conf
A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization.
ICLR
Yinqi Bai, Jie Wang, Lei Chen, Zhihai Wang, Yufei Kuang, Mingxuan Yuan, Jianye Hao, Feng Wu
2025 J jnl
A Theory of Multi-Agent Generative Flow Networks.
CoRR
Leo Maxime Brunswic, Haozhi Wang, Shuang Luo, Jianye Hao, Amir Rasouli, Yinchuan Li
2025 J jnl
ARIES: Stimulating Self-Refinement of Large Language Models by Iterative Preference Optimization.
CoRR
Yongcheng Zeng, Xinyu Cui, Xuanfa Jin, Guoqing Liu, Zexu Sun, Quan He, Dong Li, Ning Yang, Jianye Hao, Haifeng Zhang, Jun Wang
2025 A* conf
Accelerating Large Language Model Reasoning via Speculative Search.
ICML
Zhihai Wang, Jie Wang, Jilai Pan, Xilin Xia, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Feng Wu
2025 J jnl
Accelerating Large Language Model Reasoning via Speculative Search.
CoRR
Zhihai Wang, Jie Wang, Jilai Pan, Xilin Xia, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Feng Wu
2025 J jnl
Advancing Symbolic Discovery on Unsupervised Data: A Pre-training Framework for Non-degenerate Implicit Equation Discovery.
CoRR
Yufei Kuang, Jie Wang, Huang Haotong, Mingxuan Ye, Fangzhou Zhu, Xijun Li, Jianye Hao, Wu Feng
2025 J jnl
AgentSwift: Efficient LLM Agent Design via Value-guided Hierarchical Search.
CoRR
Yu Li, Lehui Li, Zhihao Wu, Qingmin Liao, Jianye Hao, Kun Shao, Fengli Xu, Yong Li
2025 J jnl
AhaRobot: A Low-Cost Open-Source Bimanual Mobile Manipulator for Embodied AI.
CoRR
Haiqin Cui, Yifu Yuan, Yan Zheng, Jianye Hao
2025 A* conf
Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming.
ICLR
Haoyang Liu, Jie Wang, Zijie Geng, Xijun Li, Yuxuan Zong, Fangzhou Zhu, Jianye Hao, Feng Wu
2025 J jnl
Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming.
CoRR
Haoyang Liu, Jie Wang, Zijie Geng, Xijun Li, Yuxuan Zong, Fangzhou Zhu, Jianye Hao, Feng Wu
2025 J jnl
AppVLM: A Lightweight Vision Language Model for Online App Control.
CoRR
Georgios Papoudakis, Thomas Coste, Zhihao Wu, Jianye Hao, Jun Wang, Kun Shao
2025 J jnl
AttentionPredictor: Temporal Pattern Matters for Efficient LLM Inference.
CoRR
Qingyue Yang, Jie Wang, Xing Li, Zhihai Wang, Chen Chen, Lei Chen, Xianzhi Yu, Wulong Liu, Jianye Hao, Mingxuan Yuan, Bin Li
2025 J jnl
AutoLayout: Closed-Loop Layout Synthesis via Slow-Fast Collaborative Reasoning.
CoRR
Weixing Chen, Dafeng Chi, Yang Liu, Yuxi Yang, Yexin Zhang, Yuzheng Zhuang, Xingyue Quan, Jianye Hao, Guanbin Li, Liang Lin
2025 J jnl
Beyond Syntax: Action Semantics Learning for App Agents.
CoRR
Bohan Tang, Dezhao Luo, Jingxuan Chen, Shaogang Gong, Jianye Hao, Jun Wang, Kun Shao
2025 A* conf
Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples.
ICML
Xize Liang, Lin Yang, Jie Wang, Yiyang Lu, Runyu Wu, Hanzhu Chen, Jianye Hao
2025 J jnl
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms.
IEEE Trans. Evol. Comput.
Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang
2025 — conf
Circuit Synthesis based on Hierarchical Conditional Diffusion.
ACM Great Lakes Symposium on VLSI
Xinyi Zhou, Xing Li, Yingzhao Lian, Yiwen Wang, Lei Chen, Mingxuan Yuan, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2025 J jnl
Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming.
CoRR
Siyuan Li, Yifan Yu, Yanchen Deng, Zhihao Zhang, Mengjing Chen, Fangzhou Zhu, Tao Zhong, Jianye Hao, Peng Liu, Bo An
2025 A* conf
Computing Circuits Optimization via Model-Based Circuit Genetic Evolution.
ICLR
Zhihai Wang, Jie Wang, Xilin Xia, Dongsheng Zuo, Lei Chen, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Feng Wu
2025 J jnl
Conditioning Matters: Training Diffusion Policies is Faster Than You Think.
CoRR
Zibin Dong, Yicheng Liu, Yinchuan Li, Hang Zhao, Jianye Hao
2025 — conf
CoopRide: Cooperate All Grids in City-Scale Ride-Hailing Dispatching with Multi-Agent Reinforcement Learning.
KDD (1)
Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Qin Zhang, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li
2025 J jnl
Deep Research Agents: A Systematic Examination And Roadmap.
CoRR
Yuxuan Huang, Yihang Chen, Haozheng Zhang, Kang Li, Meng Fang, Linyi Yang, Xiaoguang Li, Lifeng Shang, Songcen Xu, Jianye Hao, Kun Shao, Jun Wang
2025 A* conf
Differentiable Integer Linear Programming.
ICLR
Zijie Geng, Jie Wang, Xijun Li, Fangzhou Zhu, Jianye Hao, Bin Li, Feng Wu
2025 A* conf
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent.
ICLR
Taiyi Wang, Zhihao Wu, Jianheng Liu, Jianye Hao, Jun Wang, Kun Shao
2025 — conf
DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering.
ACL (1)
Rong Cheng, Jinyi Liu, Yan Zheng, Fei Ni, Jiazhen Du, Hangyu Mao, Fuzheng Zhang, Bo Wang, Jianye Hao
2025 J jnl
DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering.
CoRR
Rong Cheng, Jinyi Liu, Yan Zheng, Fei Ni, Jiazhen Du, Hangyu Mao, Fuzheng Zhang, Bo Wang, Jianye Hao
2025 J jnl
ED2: environment dynamics decomposition world models for continuous control.
Vis. Intell.
Yifu Yuan, Hongyao Tang, Cong Wang, Yan Zheng, Jianye Hao
2025 A conf
ET-Plan-Bench: Embodied Task-level Planning Benchmark Towards Spatial-Temporal Cognition with Foundation Models.
IROS
Lingfeng Zhang, Yuening Wang, Hongjian Gu, Atia Hamidizadeh, Zhanguang Zhang, Yuecheng Liu, Yutong Wang, David Gamaliel Arcos Bravo, Junyi Dong, Shunbo Zhou, Tongtong Cao, Xingyue Quan, Yuzheng Zhuang, Yingxue Zhang, Jianye Hao
2025 J jnl
EVLP:Learning Unified Embodied Vision-Language Planner with Reinforced Supervised Fine-Tuning.
CoRR
Xinyan Cai, Shiguang Wu, Dafeng Chi, Yuzheng Zhuang, Xingyue Quan, Jianye Hao, Qiang Guan
2025 A* conf
EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights.
CVPR
Zhenghao Xing, Hao Chen, Binzhu Xie, Jiaqi Xu, Ziyu Guo, Xuemiao Xu, Jianye Hao, Chi-Wing Fu, Xiaowei Hu, Pheng-Ann Heng
2025 J jnl
Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI.
CoRR
Fei Ni, Min Zhang, Pengyi Li, Yifu Yuan, Lingfeng Zhang, Yuecheng Liu, Peilong Han, Longxin Kou, Shaojin Ma, Jinbin Qiao, David Gamaliel Arcos Bravo, Yuening Wang, Xiao Hu, Zhanguang Zhang, Xianze Yao, Yutong Li, Zhao Zhang, Ying Wen, Ying-Cong Chen, Xiaodan Liang, Liang Lin, Bin He, Haitham Bou-Ammar, He Wang, Huazhe Xu, Jiankang Deng, Shan Luo, Shuqiang Jiang, Wei Pan, Yang Gao, Stefanos Zafeiriou, Jan Peters, Yuzheng Zhuang, Yingxue Zhang, Yan Zheng, Hongyao Tang, Jianye Hao
2025 J jnl
Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation.
CoRR
Yifu Yuan, Haiqin Cui, Yaoting Huang, Yibin Chen, Fei Ni, Zibin Dong, Pengyi Li, Yan Zheng, Jianye Hao
2025 J jnl
EmbodiedMAE: A Unified 3D Multi-Modal Representation for Robot Manipulation.
CoRR
Zibin Dong, Fei Ni, Yifu Yuan, Yinchuan Li, Jianye Hao
2025 A conf
Enhancing Graph-based Coordination with Evolutionary Algorithms for Episodic Multi-agent Reinforcement Learning.
AAMAS
Kexing Peng, Pengyi Li, Jianye Hao
2025 J jnl
Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning.
CoRR
Yuxuan Zhou, Yubin Wang, Bin Wang, Chen Ning, Xien Liu, Ji Wu, Jianye Hao
2025 J jnl
Few-Shot Vision-Language Action-Incremental Policy Learning.
CoRR
Mingchen Song, Xiang Deng, Guoqiang Zhong, Qi Lv, Jia Wan, Yinchuan Li, Jianye Hao, Weili Guan
2025 J jnl
From Chaos to Order: The Atomic Reasoner Framework for Fine-grained Reasoning in Large Language Models.
CoRR
Jinyi Liu, Yan Zheng, Rong Cheng, Qiyu Wu, Wei Guo, Fei Ni, Hebin Liang, Yifu Yuan, Hangyu Mao, Fuzheng Zhang, Jianye Hao
2025 J jnl
From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation.
CoRR
Yifu Yuan, Haiqin Cui, Yibin Chen, Zibin Dong, Fei Ni, Longxin Kou, Jinyi Liu, Pengyi Li, Yan Zheng, Jianye Hao
2025 J jnl
Generative Models in Decision Making: A Survey.
CoRR
Yinchuan Li, Xinyu Shao, Jianping Zhang, Haozhi Wang, Leo Maxime Brunswic, Kaiwen Zhou, Jiqian Dong, Kaiyang Guo, Xiu Li, Zhitang Chen, Jun Wang, Jianye Hao
2025 J jnl
Hi-Agent: Hierarchical Vision-Language Agents for Mobile Device Control.
CoRR
Zhe Wu, Hongjin Lu, Junliang Xing, Changhao Zhang, Yin Zhu, Yuhao Yang, Yuheng Jing, Kai Li, Kun Shao, Jianye Hao, Jun Wang, Yuanchun Shi
2025 J jnl
Hierarchical task network-enhanced multi-agent reinforcement learning: Toward efficient cooperative strategies.
Neural Networks
Xuechen Mu, Hankz Hankui Zhuo, Chen Chen, Kai Zhang, Chao Yu, Jianye Hao
2025 A* conf
HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking.
ICML
Runquan Gui, Zhihai Wang, Jie Wang, Chi Ma, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu
2025 J jnl
HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking.
CoRR
Runquan Gui, Zhihai Wang, Jie Wang, Chi Ma, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu
2025 A* conf
Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning.
AAAI
Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang
2025 A* conf
LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement.
ICLR
Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Feng Wu
2025 A* conf
Lightweight Neural App Control.
ICLR
Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao
2025 J jnl
MENTOR: Guiding Hierarchical Reinforcement Learning With Human Feedback and Dynamic Distance Constraint.
IEEE Trans. Emerg. Top. Comput. Intell.
Xinglin Zhou, Yifu Yuan, Shaofu Yang, Jianye Hao
2025 A* conf
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning.
ICML
Yifu Yuan, Zhenrui Zheng, Zibin Dong, Jianye Hao
2025 J jnl
MUVLA: Learning to Explore Object Navigation via Map Understanding.
CoRR
Peilong Han, Fan Jia, Min Zhang, Yutao Qiu, Hongyao Tang, Yan Zheng, Tiancai Wang, Jianye Hao
2025 J jnl
Mem2Ego: Empowering Vision-Language Models with Global-to-Ego Memory for Long-Horizon Embodied Navigation.
CoRR
Lingfeng Zhang, Yuecheng Liu, Zhanguang Zhang, Matin Aghaei, Yaochen Hu, Hongjian Gu, Mohammad Ali Alomrani, David Gamaliel Arcos Bravo, Raika Karimi, Atia Hamidizadeh, Haoping Xu, Guowei Huang, Zhanpeng Zhang, Tongtong Cao, Weichao Qiu, Xingyue Quan, Jianye Hao, Yuzheng Zhuang, Yingxue Zhang
2025 J jnl
More than A Point: Capturing Uncertainty with Adaptive Affordance Heatmaps for Spatial Grounding in Robotic Tasks.
CoRR
Xinyu Shao, Yanzhe Tang, Pengwei Xie, Kaiwen Zhou, Yuzheng Zhuang, Xingyue Quan, Jianye Hao, Long Zeng, Xiu Li
2025 J jnl
Omni-Thinker: Scaling Cross-Domain Generalization in LLMs via Multi-Task RL with Hybrid Rewards.
CoRR
Derek Li, Jiaming Zhou, Amirreza Kazemi, Qianyi Sun, Abbas Ghaddar, Mohammad Ali Alomrani, Liheng Ma, Yu Luo, Dong Li, Feng Wen, Jianye Hao, Mark Coates, Yingxue Zhang
2025 J jnl
OmniEVA: Embodied Versatile Planner via Task-Adaptive 3D-Grounded and Embodiment-aware Reasoning.
CoRR
Yuecheng Liu, Dafeng Chi, Shiguang Wu, Zhanguang Zhang, Yuzheng Zhuang, Bowen Yang, He Zhu, Lingfeng Zhang, Pengwei Xie, David Gamaliel Arcos Bravo, Yingxue Zhang, Jianye Hao, Xingyue Quan
2025 J jnl
One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single Demonstration.
CoRR
Jinbang Huang, Yixin Xiao, Zhanguang Zhang, Mark Coates, Jianye Hao, Yingxue Zhang
2025 J jnl
OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling.
CoRR
Haoyang Liu, Jie Wang, Yuyang Cai, Xiongwei Han, Yufei Kuang, Jianye Hao
2025 — conf
PCBAgent: An Agent-based Framework for High-Density Printed Circuit Board Placement.
ASP-DAC
Lin Chen, Ran Chen, Shoubo Hu, Xufeng Yao, Zhentao Tang, Shixiong Kai, Siyuan Xu, Mingxuan Yuan, Jianye Hao, Bei Yu, Jiang Xu
2025 J jnl
Plan2Evolve: LLM Self-Evolution for Improved Planning Capability via Automated Domain Generation.
CoRR
Jinbang Huang, Zhiyuan Li, Zhanguang Zhang, Xingyue Quan, Jianye Hao, Yingxue Zhang
2025 A* conf
R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models.
ICML
Pengyi Li, Jianye Hao, Hongyao Tang, Yifu Yuan, Jinbin Qiao, Zibin Dong, Yan Zheng
2025 J jnl
Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs.
CoRR
Mohammad Ali Alomrani, Yingxue Zhang, Derek Li, Qianyi Sun, Soumyasundar Pal, Zhanguang Zhang, Yaochen Hu, Rohan Deepak Ajwani, Antonios Valkanas, Raika Karimi, Peng Cheng, Yunzhou Wang, Pengyi Liao, Hanrui Huang, Bin Wang, Jianye Hao, Mark Coates
2025 A* conf
Reinforced In-Context Black-Box Optimization.
IJCAI
Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian
2025 J jnl
Reinforcing Question Answering Agents with Minimalist Policy Gradient Optimization.
CoRR
Yihong Wu, Liheng Ma, Muzhi Li, Jiaming Zhou, Jianye Hao, Ho-fung Leung, Irwin King, Yingxue Zhang, Jian-Yun Nie
2025 J jnl
Robust Multiobjective Reinforcement Learning Considering Environmental Uncertainties.
IEEE Trans. Neural Networks Learn. Syst.
Xiangkun He, Jianye Hao, Xu Chen, Jun Wang, Xuewu Ji, Chen Lv
2025 A* conf
STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization.
ICML
Hao Li, Qi Lv, Rui Shao, Xiang Deng, Yinchuan Li, Jianye Hao, Liqiang Nie
2025 J jnl
STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization.
CoRR
Hao Li, Qi Lv, Rui Shao, Xiang Deng, Yinchuan Li, Jianye Hao, Liqiang Nie
2025 A* conf
SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates.
AAAI
Xi Zeng, Fei Ni, Shaoqing Jiao, Dazhi Lu, Jianye Hao, Jiajie Peng
2025 J jnl
Scalable In-Context Q-Learning.
CoRR
Jinmei Liu, Fuhong Liu, Jianye Hao, Bo Wang, Huaxiong Li, Chunlin Chen, Zhi Wang
2025 J jnl
Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies.
CoRR
Yi Ma, Hongyao Tang, Chenjun Xiao, Yaodong Yang, Wei Wei, Jianye Hao, Jiye Liang
2025 A* conf
SheetAgent: Towards a Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models.
WWW
Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao, Hangyu Mao, Fuzheng Zhang
2025 A* conf
Spa-Bench: a comprehensive Benchmark for Smartphone Agent Evaluation.
ICLR
Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Kaiwen Zhou, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao
2025 A* conf
Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation.
CVPR
Qi Lv, Hao Li, Xiang Deng, Rui Shao, Yinchuan Li, Jianye Hao, Longxiang Gao, Michael Yu Wang, Liqiang Nie
2025 J jnl
Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation.
CoRR
Qi Lv, Hao Li, Xiang Deng, Rui Shao, Yinchuan Li, Jianye Hao, Longxiang Gao, Michael Yu Wang, Liqiang Nie
2025 J jnl
SpatialCoT: Advancing Spatial Reasoning through Coordinate Alignment and Chain-of-Thought for Embodied Task Planning.
CoRR
Yuecheng Liu, Dafeng Chi, Shiguang Wu, Zhanguang Zhang, Yaochen Hu, Lingfeng Zhang, Yingxue Zhang, Shuang Wu, Tongtong Cao, Guowei Huang, Helong Huang, Guangjian Tian, Weichao Qiu, Xingyue Quan, Jianye Hao, Yuzheng Zhuang
2025 J jnl
Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language Model.
CoRR
Jing Liang, Hongyao Tang, Yi Ma, Jinyi Liu, Yan Zheng, Shuyue Hu, Lei Bai, Jianye Hao
2025 J jnl
Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control.
CoRR
Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao
2025 A* conf
The Graph's Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation.
IJCAI
Reza Moravej, Saurabh Bodhe, Zhanguang Zhang, Didier Chételat, Dimitrios Tsaras, Yingxue Zhang, Hui-Ling Zhen, Jianye Hao, Mingxuan Yuan
2025 J jnl
The rise and potential opportunities of large language model agents in bioinformatics and biomedicine.
Briefings Bioinform.
Tiantian Yang, Yihang Xiao, Zhijie Bao, Jianye Hao, Jiajie Peng
2025 A* conf
Trajectory World Models for Heterogeneous Environments.
ICML
Shaofeng Yin, Jialong Wu, Siqiao Huang, Xingjian Su, Xu He, Jianye Hao, Mingsheng Long
2025 J jnl
Trajectory World Models for Heterogeneous Environments.
CoRR
Shaofeng Yin, Jialong Wu, Siqiao Huang, Xingjian Su, Xu He, Jianye Hao, Mingsheng Long
2025 J jnl
Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Temporal Grounding.
CoRR
Jian Hu, Zixu Cheng, Shaogang Gong, Isabel Guan, Jianye Hao, Jun Wang, Kun Shao
2025 J jnl
UniUGG: Unified 3D Understanding and Generation via Geometric-Semantic Encoding.
CoRR
Yueming Xu, Jiahui Zhang, Ze Huang, Yurui Chen, Yanpeng Zhou, Zhenyu Chen, Yu-Jie Yuan, Pengxiang Xia, Guowei Huang, Xinyue Cai, Zhongang Qi, Xingyue Quan, Jianye Hao, Hang Xu, Li Zhang
2025 J jnl
VSC-RL: Advancing Autonomous Vision-Language Agents with Variational Subgoal-Conditioned Reinforcement Learning.
CoRR
Qingyuan Wu, Jianheng Liu, Jianye Hao, Jun Wang, Kun Shao
2025 J jnl
ViMo: A Generative Visual GUI World Model for App Agent.
CoRR
Dezhao Luo, Bohan Tang, Kang Li, Georgios Papoudakis, Jifei Song, Shaogang Gong, Jianye Hao, Jun Wang, Kun Shao
2025 — conf
War of Thoughts: Competition Stimulates Stronger Reasoning in Large Language Models.
ACL (Findings)
Yibin Chen, Jinyi Liu, Yan Zheng, Yifu Yuan, Jianye Hao
2024 A* conf
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design.
ICML
Zhihai Wang, Lei Chen, Jie Wang, Yinqi Bai, Xing Li, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu
2024 A* conf
A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design.
ICML
Zhihai Wang, Jie Wang, Dongsheng Zuo, Yunjie Ji, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu
2024 J jnl
A Survey on Vision-Language-Action Models for Embodied AI.
CoRR
Yueen Ma, Zixing Song, Yuzheng Zhuang, Jianye Hao, Irwin King
2024 A conf
A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning.
AAMAS
Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan
2024 A* conf
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning.
AAAI
Tianpei Yang, Heng You, Jianye Hao, Yan Zheng, Matthew E. Taylor
2024 J jnl
A survey on interpretable reinforcement learning.
Mach. Learn.
Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
2024 J jnl
Actra: Optimized Transformer Architecture for Vision-Language-Action Models in Robot Learning.
CoRR
Yueen Ma, Dafeng Chi, Shiguang Wu, Yuecheng Liu, Yuzheng Zhuang, Jianye Hao, Irwin King
2024 A* conf
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model.
ICLR
Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu
2024 J jnl
Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms.
CoRR
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
2024 J jnl
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey.
CoRR
Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang
2024 J jnl
CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis.
CoRR
Yihang Xiao, Jinyi Liu, Yan Zheng, Xiaohan Xie, Jianye Hao, Mingzhi Li, Ruitao Wang, Fei Ni, Yuxiao Li, Jintian Luo, Shaoqing Jiao, Jiajie Peng
2024 A* conf
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making.
NeurIPS
Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma, Pengyi Li, Yan Zheng
2024 J jnl
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making.
CoRR
Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma, Pengyi Li, Yan Zheng
2024 J jnl
Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition.
IEEE Trans. Games
Tianze Zhou, Fubiao Zhang, Kun Shao, Zipeng Dai, Kai Li, Wenhan Huang, Weixun Wang, Bin Wang, Dong Li, Wulong Liu, Jianye Hao
2024 A* conf
DiffuserLite: Towards Real-time Diffusion Planning.
NeurIPS
Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng
2024 J jnl
DiffuserLite: Towards Real-time Diffusion Planning.
CoRR
Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng
2024 J jnl
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents.
CoRR
Taiyi Wang, Zhihao Wu, Jianheng Liu, Jianye Hao, Jun Wang, Kun Shao
2024 A* conf
DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation.
KDD
Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li
2024 A conf
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles.
AAMAS
Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng
2024 A* conf
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles.
IJCAI
Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng
2024 J jnl
ET-Plan-Bench: Embodied Task-level Planning Benchmark Towards Spatial-Temporal Cognition with Foundation Models.
CoRR
Lingfeng Zhang, Yuening Wang, Hongjian Gu, Atia Hamidizadeh, Zhanguang Zhang, Yuecheng Liu, Yutong Wang, David Gamaliel Arcos Bravo, Junyi Dong, Shunbo Zhou, Tongtong Cao, Yuzheng Zhuang, Yingxue Zhang, Jianye Hao
2024 — conf
EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems.
ACL (1)
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
2024 J jnl
EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems.
CoRR
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
2024 J jnl
Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data.
CoRR
Jiaming Zhou, Abbas Ghaddar, Ge Zhang, Liheng Ma, Yaochen Hu, Soumyasundar Pal, Mark Coates, Bin Wang, Yingxue Zhang, Jianye Hao
2024 J jnl
Enhancing Robotic Manipulation with AI Feedback from Multimodal Large Language Models.
CoRR
Jinyi Liu, Yifu Yuan, Jianye Hao, Fei Ni, Lingzhi Fu, Yibin Chen, Yan Zheng
2024 A* conf
EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search.
ICML
Pengyi Li, Yan Zheng, Hongyao Tang, Xian Fu, Jianye Hao
2024 J jnl
Exploiting counter-examples for active learning with partial labels.
Mach. Learn.
Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han
2024 J jnl
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain.
IEEE Trans. Neural Networks Learn. Syst.
Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang
2024 A* conf
FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation.
NeurIPS
Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Jianye Hao, Mingxuan Yuan, Junchi Yan
2024 — conf
Generalizable and Relation Sensitive Netlist Representation for Analog Circuit Design.
ACM Great Lakes Symposium on VLSI
Surya Penmetsa, Fahad Rahman Amik, Zhanguang Zhang, Yingying Fu, Yingxue Zhang, Wulong Liu, Jianye Hao
2024 A* conf
Generate Subgoal Images Before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts.
CVPR
Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Jiashun Liu, Yan Zheng, Bin Wang, Yuzheng Zhuang
2024 A* conf
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection.
KDD
Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan
2024 J jnl
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection.
CoRR
Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan
2024 A* conf
HarmonyDream: Task Harmonization Inside World Models.
ICML
Haoyu Ma, Jialong Wu, Ningya Feng, Chenjun Xiao, Dong Li, Jianye Hao, Jianmin Wang, Mingsheng Long
2024 A conf
Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search.
UAI
Jiashun Liu, Xiaotian Hao, Jianye Hao, Yan Zheng, Yujing Hu, Changjie Fan, Tangjie Lv, Zhipeng Hu
2024 A* conf
Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting.
ICML
Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang
2024 A* conf
Improving Unsupervised Hierarchical Representation With Reinforcement Learning.
CVPR
Ruyi An, Yewen Li, Xu He, Pengjie Gu, Mengchen Zhao, Dong Li, Jianye Hao, Chaojie Wang, Bo An, Mingyuan Zhou
2024 A* conf
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning.
NeurIPS
Yi Ma, Jianye Hao, Xiaohan Hu, Yan Zheng, Chenjun Xiao
2024 A conf
JigsawPlanner: Jigsaw-like Floorplanner for Eliminating Whitespace and Overlap among Complex Rectilinear Modules.
ICCAD
Xingbo Du, Ruizhe Zhong, Shixiong Kai, Zhentao Tang, Siyuan Xu, Jianye Hao, Mingxuan Yuan, Junchi Yan
2024 A* conf
KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations.
ICML
Longxin Kou, Fei Ni, Yan Zheng, Jinyi Liu, Yifu Yuan, Zibin Dong, Jianye Hao
2024 J jnl
LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation.
CoRR
Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Hui-Ling Zhen, Jianye Hao, Qiang Xu, Mingxuan Yuan, Junchi Yan
2024 J jnl
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level.
CoRR
Antoine Grosnit, Alexandre Maraval, James Doran, Giuseppe Paolo, Albert Thomas, Refinath Shahul Hameed Nabeezath Beevi, Jonas Gonzalez, Khyati Khandelwal, Ignacio Iacobacci, Abdelhakim Benechehab, Hamza Cherkaoui, Youssef Attia El Hili, Kun Shao, Jianye Hao, Jun Yao, Balázs Kégl, Haitham Bou-Ammar, Jun Wang
2024 J jnl
Learning from Hierarchical Structure of Knowledge Graph for Recommendation.
ACM Trans. Inf. Syst.
Yingrong Qin, Chen Gao, Shuangqing Wei, Yue Wang, Depeng Jin, Jian Yuan, Lin Zhang, Dong Li, Jianye Hao, Yong Li
2024 J jnl
Lightweight Neural App Control.
CoRR
Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao
2024 J jnl
MENTOR: Guiding Hierarchical Reinforcement Learning with Human Feedback and Dynamic Distance Constraint.
CoRR
Xinglin Zhou, Yifu Yuan, Shaofu Yang, Jianye Hao
2024 J jnl
MFE-ETP: A Comprehensive Evaluation Benchmark for Multi-modal Foundation Models on Embodied Task Planning.
CoRR
Min Zhang, Jianye Hao, Xian Fu, Peilong Han, Hao Zhang, Lei Shi, Hongyao Tang, Yan Zheng
2024 J jnl
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning.
CoRR
Yifu Yuan, Zhenrui Zheng, Zibin Dong, Jianye Hao
2024 J jnl
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications.
CoRR
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
2024 A* conf
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces.
AAAI
Xiaotian Hao, Jianye Hao, Chenjun Xiao, Kai Li, Dong Li, Yan Zheng
2024 A* conf
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments.
AAAI
Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun
2024 A conf
PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning.
AAMAS
Hao Zhang, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor
2024 A* conf
PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation.
NeurIPS
Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Yifu Yuan, Zibin Dong, Jinyi Liu, Mingzhi Li, Yuzheng Zhuang, Yan Zheng
2024 A* conf
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning.
AAAI
Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor
2024 J jnl
Path-of-Thoughts: Extracting and Following Paths for Robust Relational Reasoning with Large Language Models.
CoRR
Ge Zhang, Mohammad Ali Alomrani, Hongjian Gu, Jiaming Zhou, Yaochen Hu, Bin Wang, Qun Liu, Mark Coates, Yingxue Zhang, Jianye Hao
2024 J jnl
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning.
CoRR
Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li
2024 J jnl
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning.
Artif. Intell.
Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li
2024 A* conf
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling.
AAAI
Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan
2024 J jnl
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling.
CoRR
Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan
2024 J jnl
Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning.
IEEE Trans. Ind. Informatics
Junjie Wang, Qichao Zhang, Yao Mu, Dong Li, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao
2024 J jnl
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning.
CoRR
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
2024 J jnl
Reinforced In-Context Black-Box Optimization.
CoRR
Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian
2024 A* conf
Reinforcement Learning within Tree Search for Fast Macro Placement.
ICML
Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu
2024 A* conf
Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework.
ICLR
Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu
2024 A* conf
Rethinking Decision Transformer via Hierarchical Reinforcement Learning.
ICML
Yi Ma, Jianye Hao, Hebin Liang, Chenjun Xiao
2024 J jnl
SPA-Bench: A Comprehensive Benchmark for SmartPhone Agent Evaluation.
CoRR
Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Kaiwen Zhou, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao
2024 A* conf
Safe Table Tennis Swing Stroke with Low-Cost Hardware.
ICRA
Francesco Cursi, Marcus Kalander, Shuang Wu, Xidi Xue, Yu Tian, Guangjian Tian, Xingyue Quan, Jianye Hao
2024 J jnl
Sample Efficient Deep Reinforcement Learning With Online State Abstraction and Causal Transformer Model Prediction.
IEEE Trans. Neural Networks Learn. Syst.
Yixing Lan, Xin Xu, Qiang Fang, Jianye Hao
2024 A* conf
Sample-Efficient Multiagent Reinforcement Learning with Reset Replay.
ICML
Yaodong Yang, Guangyong Chen, Jianye Hao, Pheng-Ann Heng
2024 A* conf
Sample-Efficient Quality-Diversity by Cooperative Coevolution.
ICLR
Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian
2024 J jnl
SeaDAG: Semi-autoregressive Diffusion for Conditional Directed Acyclic Graph Generation.
CoRR
Xinyi Zhou, Xing Li, Yingzhao Lian, Yiwen Wang, Lei Chen, Mingxuan Yuan, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2024 J jnl
SheetAgent: A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models.
CoRR
Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao
2024 J jnl
The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation.
CoRR
Reza Moravej, Saurabh Bodhe, Zhanguang Zhang, Didier Chételat, Dimitrios Tsaras, Yingxue Zhang, Hui-Ling Zhen, Jianye Hao, Mingxuan Yuan
2024 A* conf
The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space.
NeurIPS
Hongyao Tang, Min Zhang, Chen Chen, Jianye Hao
2024 — conf
The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies.
WWW (Companion Volume)
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
2024 A* conf
Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph.
ICML
Yufei Kuang, Jie Wang, Yuyan Zhou, Xijun Li, Fangzhou Zhu, Jianye Hao, Feng Wu
2024 A* conf
Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework.
NeurIPS
Zhihai Wang, Jie Wang, Qingyue Yang, Yinqi Bai, Xing Li, Lei Chen, Jianye Hao, Mingxuan Yuan, Bin Li, Yongdong Zhang, Feng Wu
2024 A* conf
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback.
ICLR
Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng
2024 J jnl
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback.
CoRR
Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng
2024 A* conf
Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation.
ICML
Jiashun Liu, Jianye Hao, Yi Ma, Shuyin Xia
2024 A* conf
Unlock the Intermittent Control Ability of Model Free Reinforcement Learning.
NeurIPS
Jiashun Liu, Jianye Hao, Xiaotian Hao, Yi Ma, Yan Zheng, Yujing Hu, Tangjie Lv
2024 A* conf
Value-Evolutionary-Based Reinforcement Learning.
ICML
Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Fazl Barez
2024 J jnl
WToE: Learning When to Explore in Multiagent Reinforcement Learning.
IEEE Trans. Cybern.
Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, Yang Gao
2024 A* conf
iVideoGPT: Interactive VideoGPTs are Scalable World Models.
NeurIPS
Jialong Wu, Shaofeng Yin, Ningya Feng, Xu He, Dong Li, Jianye Hao, Mingsheng Long
2024 J jnl
iVideoGPT: Interactive VideoGPTs are Scalable World Models.
CoRR
Jialong Wu, Shaofeng Yin, Ningya Feng, Xu He, Dong Li, Jianye Hao, Mingsheng Long
2024 A* conf
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement.
IJCAI
Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
2024 J jnl
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement.
CoRR
Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
2024 A conf
vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms.
AAMAS
Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
2023 J jnl
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design.
CoRR
Zhihai Wang, Lei Chen, Jie Wang, Xing Li, Yinqi Bai, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu
2023 A conf
A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving.
CIKM
Hebin Liang, Zibin Dong, Yi Ma, Xiaotian Hao, Yan Zheng, Jianye Hao
2023 J jnl
A Unified Framework for Layout Pattern Analysis With Deep Causal Estimation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao
2023 J jnl
A benchmark for automatic medical consultation system: frameworks, tasks and datasets.
Bioinform.
Wei Chen, Zhiwei Li, Hongyi Fang, Qianyuan Yao, Cheng Zhong, Jianye Hao, Qi Zhang, Xuanjing Huang, Jiajie Peng, Zhongyu Wei
2023 J jnl
ASN: action semantics network for multiagent reinforcement learning.
Auton. Agents Multi Agent Syst.
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
2023 J jnl
Accelerating deep reinforcement learning via knowledge-guided policy network.
Auton. Agents Multi Agent Syst.
YuanQiang Yu, Peng Zhang, Kai Zhao, Yan Zheng, Jianye Hao
2023 — conf
Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations.
ICSE-SEIP
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
2023 J jnl
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model.
CoRR
Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu
2023 A conf
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization.
ECAI
Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen
2023 J jnl
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization.
CoRR
Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen
2023 A* conf
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks.
ICLR
Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang
2023 A* conf
Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System.
WWW
Zhenyang Li, Yancheng Dong, Chen Gao, Yizhou Zhao, Dong Li, Jianye Hao, Kai Zhang, Yong Li, Zhi Wang
2023 A* conf
CFlowNets: Continuous Control with Generative Flow Networks.
ICLR
Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao
2023 J jnl
CFlowNets: Continuous Control with Generative Flow Networks.
CoRR
Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao
2023 A* conf
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer.
ICML
Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo
2023 J jnl
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer.
CoRR
Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo
2023 A* conf
Co-speech Gesture Synthesis by Reinforcement Learning with Contrastive Pretrained Rewards.
CVPR
Mingyang Sun, Mengchen Zhao, Yaqing Hou, Minglei Li, Huang Xu, Songcen Xu, Jianye Hao
2023 J jnl
Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms.
IEEE Trans. Image Process.
Yunqi Wang, Furui Liu, Zhitang Chen, Yik-Chung Wu, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2023 J jnl
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks.
CoRR
Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang
2023 A* conf
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks.
ICLR
Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang
2023 J jnl
DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction.
CoRR
Bowen Wang, Chen Liang, Jiaze Wang, Furui Liu, Shaogang Hao, Dong Li, Jianye Hao, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng
2023 J jnl
Debiased Recommendation with User Feature Balancing.
ACM Trans. Inf. Syst.
Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen
2023 J jnl
Differentiable Logic Machines.
Trans. Mach. Learn. Res.
Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Dong Li, Jianye Hao, Wulong Liu
2023 — ed.
Distributed Artificial Intelligence - 4th International Conference, DAI 2022, Tianjin, China, December 15-17, 2022, Proceedings
DAI
Makoto Yokoo, Hong Qiao, Yevgeniy Vorobeychik, Jianye Hao
2023 A conf
Dual-Process Graph Neural Network for Diversified Recommendation.
CIKM
Yuanyi Ren, Hang Ni, Yingxue Zhang, Xi Wang, Guojie Song, Dong Li, Jianye Hao
2023 A* conf
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation.
ICLR
Jianye Hao, Pengyi Li, Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng
2023 A* conf
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model.
ICLR
Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan
2023 A conf
EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing.
ICCAD
Peiyu Wang, Anqi Lu, Xing Li, Junjie Ye, Lei Chen, Mingxuan Yuan, Jianye Hao, Junchi Yan
2023 A conf
EasySO: Exploration-enhanced Reinforcement Learning for Logic Synthesis Sequence Optimization and a Comprehensive RL Environment.
ICCAD
Jianyong Yuan, Peiyu Wang, Junjie Ye, Mingxuan Yuan, Jianye Hao, Junchi Yan
2023 J jnl
Empirical Policy Optimization for n-Player Markov Games.
IEEE Trans. Cybern.
Yuanheng Zhu, Weifan Li, Mengchen Zhao, Jianye Hao, Dongbin Zhao
2023 J jnl
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao
2023 J jnl
Exploiting Counter-Examples for Active Learning with Partial labels.
CoRR
Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han
2023 — conf
GFlowNets with Human Feedback.
Tiny Papers @ ICLR
Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao
2023 J jnl
GFlowNets with Human Feedback.
CoRR
Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao
2023 A* conf
Generalized Universal Domain Adaptation with Generative Flow Networks.
ACM Multimedia
Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
2023 J jnl
Generalized Universal Domain Adaptation with Generative Flow Networks.
CoRR
Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
2023 A* conf
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs.
IJCAI
Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao
2023 J jnl
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs.
CoRR
Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao
2023 J jnl
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning.
CoRR
Xuechen Mu, Hankz Hankui Zhuo, Chen Chen, Kai Zhang, Chao Yu, Jianye Hao
2023 A* conf
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection.
ICLR
Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia
2023 J jnl
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection.
CoRR
Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia
2023 — conf
Limited Information Opponent Modeling.
ICANN (8)
Yongliang Lv, YuanQiang Yu, Yan Zheng, Jianye Hao, Yongming Wen, Yue Yu
2023 A* conf
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL.
ICML
Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang
2023 J jnl
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL.
CoRR
Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang
2023 A* conf
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning.
AAAI
Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
2023 J jnl
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning.
CoRR
Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
2023 J jnl
Multi-agent Policy Reciprocity with Theoretical Guarantee.
CoRR
Haozhi Wang, Yinchuan Li, Qing Wang, Yunfeng Shao, Jianye Hao
2023 A* conf
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network.
AAAI
Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng
2023 J jnl
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network.
CoRR
Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng
2023 J jnl
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments.
CoRR
Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun
2023 A conf
Off-Beat Multi-Agent Reinforcement Learning.
AAMAS
Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan
2023 A* conf
Out-of-distribution Detection with Implicit Outlier Transformation.
ICLR
Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han
2023 J jnl
Out-of-distribution Detection with Implicit Outlier Transformation.
CoRR
Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han
2023 A conf
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning.
AAMAS
Jizhou Wu, Tianpei Yang, Xiaotian Hao, Jianye Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor
2023 J jnl
Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning.
CoRR
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
2023 J jnl
Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning.
CoRR
Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
2023 J jnl
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning.
CoRR
Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan
2023 A* conf
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution.
ICML
Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu
2023 — conf
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow.
DAI
Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Ziqing Gong, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu
2023 — conf
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling.
PAKDD (3)
Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2023 — conf
Regularized Offline GFlowNets.
Tiny Papers @ ICLR
Haozhi Wang, Yunfeng Shao, Jianye Hao, Yinchuan Li
2023 J jnl
Rethinking Decision Transformer via Hierarchical Reinforcement Learning.
CoRR
Yi Ma, Chenjun Xiao, Hebin Liang, Jianye Hao
2023 J jnl
Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization.
CoRR
Junlong Lyu, Zhitang Chen, Wenlong Lyu, Jianye Hao
2023 A conf
Spectral Augmentations for Graph Contrastive Learning.
AISTATS
Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates
2023 J jnl
Spectral Augmentations for Graph Contrastive Learning.
CoRR
Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates
2023 A* conf
SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem.
AAAI
Hebin Liang, Yi Ma, Zilin Cao, Tianyang Liu, Fei Ni, Zhigang Li, Jianye Hao
2023 A* conf
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems.
AAAI
Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates
2023 J jnl
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems.
CoRR
Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates
2023 B conf
T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler.
IJCNN
YuanQiang Yu, Tianpei Yang, Yongliang Lv, Yan Zheng, Jianye Hao
2023 A conf
TOFU: A Two-Step Floorplan Refinement Framework for Whitespace Reduction.
DATE
Shixiong Kai, Chak-Wa Pui, Fangzhou Wang, Shougao Jiang, Bin Wang, Yu Huang, Jianye Hao
2023 J jnl
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting.
CoRR
Hongyao Tang, Min Zhang, Jianye Hao
2023 A* conf
Traj-MAE: Masked Autoencoders for Trajectory Prediction.
ICCV
Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng
2023 J jnl
Traj-MAE: Masked Autoencoders for Trajectory Prediction.
CoRR
Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng
2023 A conf
Transfer Learning based Agent for Automated Negotiation.
AAMAS
Siqi Chen, Qisong Sun, Heng You, Tianpei Yang, Jianye Hao
2023 — conf
Transfer Reinforcement Learning Based Negotiating Agent Framework.
PAKDD (2)
Siqi Chen, Tianpei Yang, Heng You, Jianing Zhao, Jianye Hao, Gerhard Weiss
2023 A* conf
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation.
SIGIR
Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li
2023 J jnl
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation.
CoRR
Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li
2023 J jnl
VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder.
CoRR
Yueen Ma, Dafeng Chi, Jingjing Li, Yuzheng Zhuang, Jianye Hao, Irwin King
2022 J jnl
A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets.
CoRR
Wei Chen, Zhiwei Li, Hongyi Fang, Qianyuan Yao, Cheng Zhong, Jianye Hao, Qi Zhang, Xuanjing Huang, Jiajie Peng, Zhongyu Wei
2022 J jnl
A Graph-Enhanced Click Model for Web Search.
CoRR
Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu
2022 J jnl
A review and performance evaluation of clustering frameworks for single-cell Hi-C data.
Briefings Bioinform.
Caiwei Zhen, Yuxian Wang, Jiaquan Geng, Lu Han, Jingyi Li, Jinghao Peng, Tao Wang, Jianye Hao, Xuequn Shang, Zhongyu Wei, Peican Zhu, Jiajie Peng
2022 J jnl
API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks.
CoRR
Xiaotian Hao, Weixun Wang, Hangyu Mao, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang, Jianye Hao
2022 A conf
Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis.
ICCAD
Chang Feng, Wenlong Lyu, Zhitang Chen, Junjie Ye, Mingxuan Yuan, Jianye Hao
2022 — conf
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning.
ECML/PKDD (5)
Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
2022 J jnl
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning.
CoRR
Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
2022 J jnl
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents.
CoRR
Jian Zhao, Youpeng Zhao, Weixun Wang, Mingyu Yang, Xunhan Hu, Wengang Zhou, Jianye Hao, Houqiang Li
2022 J jnl
Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents.
Frontiers Inf. Technol. Electron. Eng.
Jian Zhao, Youpeng Zhao, Weixun Wang, Mingyu Yang, Xunhan Hu, Wengang Zhou, Jianye Hao, Houqiang Li
2022 A conf
Cross-domain adaptive transfer reinforcement learning based on state-action correspondence.
UAI
Heng You, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor
2022 A* conf
DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning.
NeurIPS
Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo
2022 J jnl
Debiased Recommendation with User Feature Balancing.
CoRR
Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen
2022 J jnl
Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning.
CoRR
Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo
2022 J jnl
ERL-Re
CoRR
Pengyi Li, Hongyao Tang, Jianye Hao, Yan Zheng, Xian Fu, Zhaopeng Meng
2022 J jnl
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model.
CoRR
Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan
2022 — conf
Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator.
DAI
Yining Li, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang
2022 — conf
Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity.
DASFAA (3)
Yixu Gao, Kun Shao, Zhijian Duan, Zhongyu Wei, Dong Li, Bin Wang, Mengchen Zhao, Jianye Hao
2022 — conf
Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification.
MICCAI (3)
Jinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, Pheng-Ann Heng
2022 A* conf
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis.
NeurIPS
Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu
2022 J jnl
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis.
CoRR
Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu
2022 J jnl
GFlowCausal: Generative Flow Networks for Causal Discovery.
CoRR
Wenqian Li, Yinchuan Li, Shengyu Zhu, Yunfeng Shao, Jianye Hao, Yan Pang
2022 A* conf
Generalizable Floorplanner through Corner Block List Representation and Hypergraph Embedding.
KDD
Mohammad Amini, Zhanguang Zhang, Surya Penmetsa, Yingxue Zhang, Jianye Hao, Wulong Liu
2022 J jnl
Generalizable Information Theoretic Causal Representation.
CoRR
Mengyue Yang, Xinyu Cai, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang
2022 J jnl
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation.
J. Artif. Intell. Res.
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
2022 A conf
Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration.
ICCAD
Xinyi Zhou, Junjie Ye, Chak-Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2022 A* conf
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation.
ICLR
Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang
2022 A* conf
Individual Reward Assisted Multi-Agent Reinforcement Learning.
ICML
Li Wang, Yupeng Zhang, Yujing Hu, Weixun Wang, Chongjie Zhang, Yang Gao, Jianye Hao, Tangjie Lv, Changjie Fan
2022 J jnl
Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition.
CoRR
Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo
2022 A* conf
Invariant Factor Graph Neural Networks.
ICDM
Zheng Fang, Ziyun Zhang, Guojie Song, Yingxue Zhang, Dong Li, Jianye Hao, Xi Wang
2022 J jnl
LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction.
CoRR
Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng
2022 A* conf
LHNN: lattice hypergraph neural network for VLSI congestion prediction.
DAC
Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng
2022 A* conf
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning.
ICML
Pengjie Gu, Mengchen Zhao, Chen Chen, Dong Li, Jianye Hao, Bo An
2022 A* conf
Learning State Representations via Retracing in Reinforcement Learning.
ICLR
Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess
2022 J jnl
Learning to select cuts for efficient mixed-integer programming.
Pattern Recognit.
Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
2022 A conf
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation.
WSDM
Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King
2022 A conf
Multiagent Q-learning with Sub-Team Coordination.
AAMAS
Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
2022 A* conf
Multiagent Q-learning with Sub-Team Coordination.
NeurIPS
Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew E. Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
2022 A* conf
Neuro-Symbolic Hierarchical Rule Induction.
ICML
Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao
2022 J jnl
Off-Beat Multi-Agent Reinforcement Learning.
CoRR
Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan
2022 J jnl
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies.
CoRR
Haozhi Wang, Qing Wang, Yunfeng Shao, Dong Li, Jianye Hao, Yinchuan Li
2022 A* conf
Online Ad Hoc Teamwork under Partial Observability.
ICLR
Pengjie Gu, Mengchen Zhao, Jianye Hao, Bo An
2022 A* conf
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations.
IJCAI
Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang
2022 J jnl
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations.
CoRR
Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang
2022 A* conf
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.
ICML
Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang
2022 J jnl
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.
CoRR
Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Zhen Wang
2022 J jnl
PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning.
CoRR
Yiqun Chen, Hangyu Mao, Tianle Zhang, Shiguang Wu, Bin Zhang, Jianye Hao, Dong Li, Bin Wang, Hongxing Chang
2022 A* conf
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning.
NeurIPS
Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
2022 A* conf
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization.
ICML
Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang
2022 J jnl
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization.
CoRR
Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang
2022 J jnl
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents.
CoRR
Minghuan Liu, Zhengbang Zhu, Menghui Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao
2022 A* conf
Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration.
ICRA
Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang
2022 J jnl
Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning.
CoRR
Junjie Wang, Yao Mu, Dong Li, Qichao Zhang, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao
2022 A conf
RCANet: Root Cause Analysis via Latent Variable Interaction Modeling for Yield Improvement.
ITC
Xiaopeng Zhang, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Evangeline F. Y. Young, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao
2022 J jnl
RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow.
CoRR
Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Liyuan Mao, Ziqing Gong, Weinan Zhang, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu
2022 J jnl
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization.
CoRR
Jian Zhao, Yue Zhang, Xunhan Hu, Weixun Wang, Wengang Zhou, Jianye Hao, Jiangcheng Zhu, Houqiang Li
2022 J jnl
SCC-rFMQ: a multiagent reinforcement learning method in cooperative Markov games with continuous actions.
Int. J. Mach. Learn. Cybern.
Chengwei Zhang, Zhuobing Han, Bingfu Liu, Wanli Xue, Jianye Hao, Xiaohong Li, Dou An, Rong Chen
2022 Misc conf
Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System.
CoRL
Zipeng Dai, Tianze Zhou, Kun Shao, David Henry Mguni, Bin Wang, Jianye Hao
2022 J jnl
State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning.
CoRR
Chen Chen, Hongyao Tang, Yi Ma, Chao Wang, Qianli Shen, Dong Li, Jianye Hao
2022 A* conf
The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design.
NeurIPS
Ruoyu Cheng, Xianglong Lyu, Yang Li, Junjie Ye, Jianye Hao, Junchi Yan
2022 J jnl
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes.
CoRR
Min Zhang, Hongyao Tang, Jianye Hao, Yan Zheng
2022 J jnl
Transformer in Transformer as Backbone for Deep Reinforcement Learning.
CoRR
Hangyu Mao, Rui Zhao, Hao Chen, Jianye Hao, Yiqun Chen, Dong Li, Junge Zhang, Zhen Xiao
2022 A* conf
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing.
NeurIPS
Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng
2022 A* conf
Versatile Multi-stage Graph Neural Network for Circuit Representation.
NeurIPS
Shuwen Yang, Zhihao Yang, Dong Li, Yingxue Zhang, Zhanguang Zhang, Guojie Song, Jianye Hao
2022 A* conf
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator.
AAAI
Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang
2021 A* conf
A Graph-Enhanced Click Model for Web Search.
SIGIR
Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu
2021 A* conf
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems.
NeurIPS
Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Xialiang Tong, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng
2021 A* conf
A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem.
KDD
Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He
2021 J jnl
A Survey on Interpretable Reinforcement Learning.
CoRR
Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
2021 A conf
A Unified Framework for Layout Pattern Analysis with Deep Causal Estimation.
ICCAD
Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao
2021 B conf
A deep reinforcement learning-based agent for negotiation with multiple communication channels.
ICTAI
Xiaoyang Gao, Siqi Chen, Yan Zheng, Jianye Hao
2021 A* conf
Adaptive Online Packing-guided Search for POMDPs.
NeurIPS
Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao
2021 A* conf
Addressing Action Oscillations through Learning Policy Inertia.
AAAI
Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng
2021 J jnl
Addressing Action Oscillations through Learning Policy Inertia.
CoRR
Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng
2021 A* conf
An Adversarial Imitation Click Model for Information Retrieval.
WWW
Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu
2021 J jnl
An Adversarial Imitation Click Model for Information Retrieval.
CoRR
Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu
2021 A* conf
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning.
NeurIPS
Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang
2021 J jnl
An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction.
Briefings Bioinform.
Jiajie Peng, Yuxian Wang, Jiaojiao Guan, Jingyi Li, Ruijiang Han, Jianye Hao, Zhongyu Wei, Xuequn Shang
2021 A* conf
Automatic Web Testing Using Curiosity-Driven Reinforcement Learning.
ICSE
Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, Yang Liu
2021 J jnl
Automatic Web Testing using Curiosity-Driven Reinforcement Learning.
CoRR
Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, Yang Liu
2021 A conf
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation.
CIKM
Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang
2021 J jnl
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation.
CoRR
Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang
2021 A* conf
CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models.
CVPR
Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang
2021 A* conf
Coalition-based Task Assignment in Spatial Crowdsourcing.
ICDE
Yan Zhao, Jiannan Guo, Xuanhao Chen, Jianye Hao, Xiaofang Zhou, Kai Zheng
2021 J jnl
Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms.
CoRR
Yunqi Wang, Furui Liu, Zhitang Chen, Qing Lian, Shoubo Hu, Jianye Hao, Yik-Chung Wu
2021 J jnl
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment.
CoRR
Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao
2021 — conf
Detecting and Learning Against Unknown Opponents for Automated Negotiations.
PRICAI (3)
Leling Wu, Siqi Chen, Xiaoyang Gao, Yan Zheng, Jianye Hao
2021 J jnl
Differentiable Logic Machines.
CoRR
Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Jianye Hao, Dong Li, Wulong Liu
2021 A* conf
Dynamic Bottleneck for Robust Self-Supervised Exploration.
NeurIPS
Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
2021 J jnl
Dynamic Bottleneck for Robust Self-Supervised Exploration.
CoRR
Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
2021 J jnl
ED2: An Environment Dynamics Decomposition Framework for World Model Construction.
CoRR
Cong Wang, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang, Fazl Barez, Jinyi Liu, Jiajie Peng, Haiyin Piao, Zhixiao Sun
2021 J jnl
Efficient policy detecting and reusing for non-stationarity in Markov games.
Auton. Agents Multi Agent Syst.
Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhaopeng Meng, Tianpei Yang, Yanran Li, Changjie Fan
2021 J jnl
Exploration in Deep Reinforcement Learning: A Comprehensive Survey.
CoRR
Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu
2021 A* conf
FIGCPS: Effective Failure-inducing Input Generation for Cyber-Physical Systems with Deep Reinforcement Learning.
ASE
Shaohua Zhang, Shuang Liu, Jun Sun, Yuqi Chen, Wenzhi Huang, Jinyi Liu, Jian Liu, Jianye Hao
2021 J jnl
Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning.
IEEE Trans. Software Eng.
Yoriyuki Yamagata, Shuang Liu, Takumi Akazaki, Yihai Duan, Jianye Hao
2021 A* conf
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning.
NeurIPS
Danruo Deng, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng-Ann Heng
2021 J jnl
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning.
CoRR
Danruo Deng, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng-Ann Heng
2021 A* conf
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction.
AAAI
Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao
2021 J jnl
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction.
CoRR
Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng
2021 J jnl
Generalized Centered 2-D Principal Component Analysis.
IEEE Trans. Cybern.
Gongyu Zhou, Guangquan Xu, Jianye Hao, Shizhan Chen, Junfeng Xu, Xi Zheng
2021 J jnl
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation.
CoRR
Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang
2021 J jnl
Integrating multi-network topology for gene function prediction using deep neural networks.
Briefings Bioinform.
Jiajie Peng, Hansheng Xue, Zhongyu Wei, Idil Tuncali, Jianye Hao, Xuequn Shang
2021 J jnl
Learning State Representations via Retracing in Reinforcement Learning.
CoRR
Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess
2021 J jnl
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning.
CoRR
Zhihao Ma, Yuzheng Zhuang, Paul Weng, Hankz Hankui Zhuo, Dong Li, Wulong Liu, Jianye Hao
2021 J jnl
Learning to Select Cuts for Efficient Mixed-Integer Programming.
CoRR
Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
2021 J jnl
Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines.
CoRR
Xuejing Zheng, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
2021 A* conf
Model-Based Reinforcement Learning via Imagination with Derived Memory.
NeurIPS
Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Li, Chongjie Zhang, Jianye Hao
2021 — conf
Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic.
PRICAI (3)
Shiyu Huang, Bin Wang, Hang Su, Dong Li, Jianye Hao, Jun Zhu, Ting Chen
2021 A* conf
Ordering-Based Causal Discovery with Reinforcement Learning.
IJCAI
Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang
2021 J jnl
Ordering-Based Causal Discovery with Reinforcement Learning.
CoRR
Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang
2021 A* conf
Principled Exploration via Optimistic Bootstrapping and Backward Induction.
ICML
Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
2021 J jnl
Principled Exploration via Optimistic Bootstrapping and Backward Induction.
CoRR
Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
2021 J jnl
Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization.
CoRR
Shiyu Huang, Bin Wang, Dong Li, Jianye Hao, Ting Chen, Jun Zhu
2021 A* conf
Relational Navigation Learning in Continuous Action Space among Crowds.
ICRA
Xueyou Zhang, Wei Xi, Xian Guo, Yongchun Fang, Bin Wang, Wulong Liu, Jianye Hao
2021 J jnl
SC2disease: a manually curated database of single-cell transcriptome for human diseases.
Nucleic Acids Res.
Tianyi Zhao, Shuxuan Lyu, Guilin Lu, Liran Juan, Xi Zeng, Zhongyu Wei, Jianye Hao, Jiajie Peng
2021 — conf
SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition.
DAI
Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang
2021 J jnl
SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition.
CoRR
Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang
2021 A* conf
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning.
AAAI
Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
2021 — conf
Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning.
DAI
Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng
2021 J jnl
Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning.
CoRR
Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng
2020 J jnl
A Method for Deploying Distributed Denial of Service Attack Defense Strategies on Edge Servers Using Reinforcement Learning.
IEEE Access
Haodi Zhang, Jianye Hao, Xiaohong Li
2020 C conf
A Multi-Task Reinforcement Learning Approach for Navigating Unsignalized Intersections.
IV
Shixiong Kai, Bin Wang, Dong Chen, Jianye Hao, Hongbo Zhang, Wulong Liu
2020 A* conf
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems.
ICLR
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2020 B conf
An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks.
ICECCS
Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Ting Dai
2020 J jnl
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder.
CoRR
Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang
2020 A* conf
Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management.
AAAI
Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu
2020 J jnl
Continuous Multiagent Control using Collective Behavior Entropy for Large-Scale Home Energy Management.
CoRR
Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu
2020 J jnl
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning.
CoRR
Jiajun Fan, He Ba, Xian Guo, Jianye Hao
2020 — conf
Cross-data Automatic Feature Engineering via Meta-learning and Reinforcement Learning.
PAKDD (1)
Jianyu Zhang, Jianye Hao, Françoise Fogelman-Soulié
2020 J jnl
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning.
CoRR
Junjie Wang, Qichao Zhang, Dongbin Zhao, Mengchen Zhao, Jianye Hao
2020 A* conf
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising.
ICML
Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai
2020 J jnl
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising.
CoRR
Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai
2020 A conf
Efficient Deep Reinforcement Learning through Policy Transfer.
AAMAS
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng
2020 J jnl
Efficient Deep Reinforcement Learning through Policy Transfer.
CoRR
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Weixun Wang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhaodong Wang, Jiajie Peng
2020 A* conf
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer.
IJCAI
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng
2020 J jnl
Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments.
J. Comput. Sci. Technol.
Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhao-Peng Meng, Xiaotian Hao
2020 J jnl
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint.
CoRR
Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao
2020 — conf
Faster Convention Emergence by Avoiding Local Conventions in Reinforcement Social Learning.
ICAISC (1)
Muzi Liu, Ho-fung Leung, Jianye Hao
2020 A* conf
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning.
AAAI
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2020 A* conf
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning.
IJCAI
Ruimin Shen, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yingfeng Chen, Changjie Fan, Yang Liu
2020 J jnl
HEBO: Heteroscedastic Evolutionary Bayesian Optimisation.
CoRR
Alexander I. Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Jianye Hao, Jun Wang, Haitham Bou-Ammar
2020 A* conf
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge.
IJCAI
Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
2020 J jnl
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge.
CoRR
Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
2020 — conf
Large Scale Deep Reinforcement Learning in War-games.
BIBM
Hanchao Wang, Hongyao Tang, Jianye Hao, Xiaotian Hao, Yue Fu, Yi Ma
2020 J jnl
Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework.
CoRR
Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Wulong Liu, Yujing Hu, Yingfeng Chen
2020 A* conf
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising.
IJCAI
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
2020 J jnl
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising.
CoRR
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
2020 A* conf
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping.
NeurIPS
Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan
2020 J jnl
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping.
CoRR
Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan
2020 — conf
MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning.
DAI
Haotian Fu, Hongyao Tang, Jianye Hao, Wulong Liu, Chen Chen
2020 A conf
Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach.
AAMAS
Hangtian Jia, Chunxu Ren, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan, Hongyao Tang, Jianye Hao
2020 A* conf
Multi-Agent Game Abstraction via Graph Attention Neural Network.
AAAI
Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao
2020 A* conf
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning.
AAAI
Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
2020 A* conf
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning.
ICML
Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
2020 J jnl
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning.
CoRR
Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
2020 J jnl
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning.
CoRR
Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang
2020 Misc conf
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving.
CoRL
Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang
2020 J jnl
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving.
CoRR
Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat M. Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander I. Cowen-Rivers, Zheng Tian, Daniel Palenicek, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang
2020 J jnl
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning.
CoRR
Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
2020 A* conf
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets.
IJCAI
Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu
2020 J jnl
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets.
CoRR
Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu
2020 J jnl
What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator.
CoRR
Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang
2019 J jnl
A learning-based framework for miRNA-disease association identification using neural networks.
Bioinform.
Jiajie Peng, Weiwei Hui, Qianqian Li, Bolin Chen, Jianye Hao, Qinghua Jiang, Xuequn Shang, Zhongyu Wei
2019 — conf
Achieving cooperation through deep multiagent reinforcement learning in sequential prisoner's dilemmas.
DAI
Weixun Wang, Jianye Hao, Yixi Wang, Matthew E. Taylor
2019 J jnl
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems.
CoRR
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2019 B conf
An Efficient Handover Authentication Mechanism for 5G Wireless Network.
WCNC
Kaihong Han, Maode Ma, Xiaohong Li, Zhiyong Feng, Jianye Hao
2019 A* conf
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning.
AAAI
Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang
2019 A conf
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning.
AAMAS
Hongyao Tang, Jianye Hao, Li Wang, Zan Wang, Tim Baarslag
2019 J jnl
Attention-based recurrent neural network for influenza epidemic prediction.
BMC Bioinform.
Xianglei Zhu, Bofeng Fu, Yaodong Yang, Yu Ma, Jianye Hao, Siqi Chen, Shuang Liu, Tiegang Li, Sen Liu, Weiming Guo, Zhenyu Liao
2019 A conf
Automatic Feature Engineering by Deep Reinforcement Learning.
AAMAS
Jianyu Zhang, Jianye Hao, Françoise Fogelman-Soulié, Zan Wang
2019 A conf
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.
AAMAS
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Yan Zheng, Chongjie Zhang, Ze Zheng
2019 A* conf
Building Personalized Simulator for Interactive Search.
IJCAI
Qianlong Liu, Baoliang Cui, Zhongyu Wei, Baolin Peng, Haikuan Huang, Hongbo Deng, Jianye Hao, Xuanjing Huang, Kam-Fai Wong
2019 A* conf
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces.
IJCAI
Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan
2019 J jnl
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces.
CoRR
Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan
2019 J jnl
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction.
CoRR
Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang
2019 J jnl
Efficient meta reinforcement learning via meta goal generation.
CoRR
Haotian Fu, Hongyao Tang, Jianye Hao
2019 A* conf
Explicitly Coordinated Policy Iteration.
IJCAI
Yujing Hu, Yingfeng Chen, Changjie Fan, Jianye Hao
2019 J jnl
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning.
CoRR
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2019 A conf
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems.
AAMAS
Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang
2019 J jnl
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems.
CoRR
Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang
2019 A* conf
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework.
IJCAI
Yaodong Yang, Jianye Hao, Yan Zheng, Chao Yu
2019 A conf
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework.
AAMAS
Yaodong Yang, Jianye Hao, Yan Zheng, Xiaotian Hao, Bofeng Fu
2019 A conf
Learning Adaptive Display Exposure for Real-Time Advertising.
CIKM
Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai
2019 J jnl
LoopFix: an approach to automatic repair of buggy loops.
J. Syst. Softw.
Weichao Wang, Zhaopeng Meng, Zan Wang, Shuang Liu, Jianye Hao
2019 J jnl
Multi-Agent Game Abstraction via Graph Attention Neural Network.
CoRR
Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao
2019 J jnl
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning.
CoRR
Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
2019 A conf
ONECG: Online Negotiation Environment for Coalitional Games.
AAMAS
Siqi Chen, Yonghao Cui, Cong Shang, Jianye Hao, Gerhard Weiss
2019 A conf
Reinforcement Learning for Cooperative Overtaking.
AAMAS
Chao Yu, Xin Wang, Jianye Hao, Zhanbo Feng
2019 J jnl
SA-IGA: a multiagent reinforcement learning method towards socially optimal outcomes.
Auton. Agents Multi Agent Syst.
Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Wanli Xue, Zhiyong Feng
2019 J jnl
Spectral-based Graph Convolutional Network for Directed Graphs.
CoRR
Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen
2019 J jnl
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks.
CoRR
Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Dai Ting
2019 A* conf
Towards Efficient Detection and Optimal Response against Sophisticated Opponents.
IJCAI
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng
2019 J jnl
Using deep reinforcement learning to speed up collective cell migration.
BMC Bioinform.
Hanxu Hou, Tian Gan, Yaodong Yang, Xianglei Zhu, Sen Liu, Weiming Guo, Jianye Hao
2019 A* conf
Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning.
ASE
Yan Zheng, Changjie Fan, Xiaofei Xie, Ting Su, Lei Ma, Jianye Hao, Zhaopeng Meng, Yang Liu, Ruimin Shen, Yingfeng Chen
2018 A* conf
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents.
NeurIPS
Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan
2018 B conf
Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space.
PRICAI
Wanshu Liu, Chengwei Zhang, Tianpei Yang, Jianye Hao, Xiaohong Li, Zhijie Bao
2018 J jnl
An Adaptive Learning Based Network Selection Approach for 5G Dynamic Environments.
Entropy
Xiaohong Li, Ru Cao, Jianye Hao
2018 J jnl
An Adaptive Markov Strategy for Defending Smart Grid False Data Injection From Malicious Attackers.
IEEE Trans. Smart Grid
Jianye Hao, Eunsuk Kang, Jun Sun, Zan Wang, Zhaopeng Meng, Xiaohong Li, Zhong Ming
2018 J jnl
An Optimal Rewiring Strategy for Reinforcement Social Learning in Cooperative Multiagent Systems.
CoRR
Hongyao Tang, Li Wang, Zan Wang, Tim Baarslag, Jianye Hao
2018 — conf
Attention-Based Recurrent Multi-Channel Neural Network for Influenza Epidemic Prediction.
BIBM
Bofeng Fu, Yaodong Yang, Yu Ma, Jianye Hao, Siqi Chen, Shuang Liu, Tiegang Li, Zhenyu Liao, Xianglei Zhu
2018 J jnl
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.
CoRR
Tianpei Yang, Zhaopeng Meng, Jianye Hao, Chongjie Zhang, Yan Zheng
2018 — conf
ESRQ: An Efficient Secure Routing Method in Wireless Sensor Networks Based on Q-Learning.
TrustCom/BigDataSE
Gaosheng Liu, Xin Wang, Xiaohong Li, Jianye Hao, Zhiyong Feng
2018 J jnl
Effective norm emergence in cell systems under limited communication.
BMC Bioinform.
Xiaotian Hao, Jianye Hao, Wang Li, Hanxu Hou
2018 A conf
Efficient Convention Emergence through Decoupled Reinforcement Social Learning with Teacher-Student Mechanism.
AAMAS
Yixi Wang, Wenhuan Lu, Jianye Hao, Jianguo Wei, Ho-fung Leung
2018 J jnl
Efficient and Robust Emergence of Norms through Heuristic Collective Learning.
ACM Trans. Auton. Adapt. Syst.
Jianye Hao, Jun Sun, Guangyong Chen, Zan Wang, Chao Yu, Zhong Ming
2018 B conf
Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning.
FM
Takumi Akazaki, Shuang Liu, Yoriyuki Yamagata, Yihai Duan, Jianye Hao
2018 J jnl
Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning.
CoRR
Takumi Akazaki, Shuang Liu, Yoriyuki Yamagata, Yihai Duan, Jianye Hao
2018 J jnl
Hierarchical Deep Multiagent Reinforcement Learning.
CoRR
Hongyao Tang, Jianye Hao, Tangjie Lv, Yingfeng Chen, Zongzhang Zhang, Hangtian Jia, Chunxu Ren, Yan Zheng, Changjie Fan, Li Wang
2018 J jnl
Hierarchical Heuristic Learning towards Effcient Norm Emergence.
CoRR
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Sandip Sen, Sheng Jin
2018 J jnl
Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning.
CoRR
Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Yixi Wang, Han Li, Jian Xu, Kun Gai
2018 A conf
Recurrent Deep Multiagent Q-Learning for Autonomous Agents in Future Smart Grid.
AAMAS
Yaodong Yang, Jianye Hao, Zan Wang, Mingyang Sun, Goran Strbac
2018 A* conf
Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid.
IJCAI
Yaodong Yang, Jianye Hao, Mingyang Sun, Zan Wang, Changjie Fan, Goran Strbac
2018 J jnl
SA-IGA: A Multiagent Reinforcement Learning Method Towards Socially Optimal Outcomes.
CoRR
Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Wanli Xue
2018 A conf
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions.
AAMAS
Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Zhiyong Feng
2018 J jnl
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions.
CoRR
Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Zhiyong Feng, Wanli Xue, Rong Chen
2018 — conf
Speeding up Collective Cell Migration Using Deep Reinforcement Learning.
BIBM
Tian Gan, Yaodong Yang, Jianye Hao, Zhenyu Liao, Xianglei Zhu
2018 A conf
The Dynamics of Opinion Evolution in Gossiper-Media Model with WoLS-CALA Learning.
AAMAS
Chengwei Zhang, Xiaohong Li, Jianye Hao, Sandip Sen, Wanli Xue, Zhiyong Feng
2018 J jnl
Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach.
CoRR
Weixun Wang, Jianye Hao, Yixi Wang, Matthew E. Taylor
2018 B conf
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments.
PRICAI
Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang
2018 J jnl
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments.
CoRR
Yan Zheng, Jianye Hao, Zongzhang Zhang
2017 — conf
A Prediction and Learning Based Approach to Network Selection in Dynamic Environments.
ICANN (1)
Xiaohong Li, Ru Cao, Jianye Hao, Zhiyong Feng
2017 — conf
A real-time ensemble classification algorithm for time series data.
ICA
Xianglei Zhu, Shuai Zhao, Yaodong Yang, Hongyao Tang, Zan Wang, Jianye Hao
2017 B conf
An Adaptive Handover Trigger Strategy for 5G C/U Plane Split Heterogeneous Network.
MASS
Huijuan He, Xiaohong Li, Zhiyong Feng, Jianye Hao, Xiaofei Wang, Haijun Zhang
2017 C conf
An Improved Android Collusion Attack Detection Method Based on Program Slicing.
ICFEM
Yunhao Liu, Xiaohong Li, Zhiyong Feng, Jianye Hao
2017 C conf
Automated Software Security Requirements Recommendation Based on FT-SR Model.
SEKE
Jiangjuan Wang, Xiaohong Li, Zhiyong Feng, Jianye Hao, Guangquan Xu, Zhuobing Han
2017 J jnl
Blind Image Denoising via Dependent Dirichlet Process Tree.
IEEE Trans. Pattern Anal. Mach. Intell.
Fengyuan Zhu, Guangyong Chen, Jianye Hao, Pheng-Ann Heng
2017 A* conf
Defending Against Man-In-The-Middle Attack in Repeated Games.
IJCAI
Shuxin Li, Xiaohong Li, Jianye Hao, Bo An, Zhiyong Feng, Kangjie Chen, Chengwei Zhang
2017 — conf
Effective norm emergence in cell systems under limited communication.
BIBM
Xiaotian Hao, Jianye Hao, Wang Li
2017 C conf
FESR: A Framework for Eliciting Security Requirements Based on Integration of Common Criteria and Weakness Detection Formal Model.
QRS
Hongbo Li, Xiaohong Li, Jianye Hao, Guangquan Xu, Zhiyong Feng, Xiaofei Xie
2017 A* conf
Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack.
AAAI
Xiaohong Li, Shuxin Li, Jianye Hao, Zhiyong Feng, Bo An
2017 J jnl
Reciprocal Social Strategy in Social Repeated Games and Emergence of Social Norms.
Int. J. Artif. Intell. Tools
Chi-Kong Chan, Jianye Hao, Ho-fung Leung
2017 B conf
TLSsem: A TLS Security-Enhanced Mechanism against MITM Attacks in Public WiFis.
ICECCS
Wei Yang, Xiaohong Li, Zhiyong Feng, Jianye Hao
2017 J jnl
The dynamics of reinforcement social learning in networked cooperative multiagent systems.
Eng. Appl. Artif. Intell.
Jianye Hao, Dongping Huang, Yi Cai, Ho-fung Leung
2017 B conf
Towards Solving Decision Making Problems Using Probabilistic Model Checking.
ICECCS
Ling Shi, Shuang Liu, Jianye Hao, Jun Yang Koh, Zhe Hou, Jin Song Dong
2016 A conf
Accelerating Norm Emergence Through Hierarchical Heuristic Learning.
ECAI
Tianpei Yang, Zhaopeng Meng, Jianye Hao, Sandip Sen, Chao Yu
2016 A conf
An Adaptive Learning Framework for Efficient Emergence of Social Norms: (Extended Abstract).
AAMAS
Chao Yu, Hongtao Lv, Sandip Sen, Jianye Hao, Fenghui Ren, Rui Liu
2016 J jnl
Blind Image Denoising via Dependent Dirichlet Process Tree.
CoRR
Fengyuan Zhu, Guangyong Chen, Jianye Hao, Pheng-Ann Heng
2016 — conf
Designing minimal effective normative systems with the help of lightweight formal methods.
SIGSOFT FSE
Jianye Hao, Eunsuk Kang, Jun Sun, Daniel Jackson
2016 — conf
Dynamic analysis of cell interactions in biological environments under multiagent social learning framework.
BIBM
Chengwei Zhang, Xiaohong Li, Shuxin Li, Jianye Hao
2016 — conf
E-SSL: An SSL Security-Enhanced Method for Bypassing MITM Attacks in Mobile Internet.
SOFL+MSVL
Ren Zhao, Xiaohong Li, Guangquan Xu, Zhiyong Feng, Jianye Hao
2016 J jnl
Fepchecker: An Automatic Model Checker for Verifying Fairness and Non-Repudiation of Security Protocols in Web Service.
Int. J. Softw. Eng. Knowl. Eng.
Xiaohong Li, Jiayi Xu, Guangquan Xu, Jianye Hao, Xiaoru Li, Zhiyong Feng, Honghao Gao
2016 — conf
Formal Modeling and Verification of Security Protocols on Cloud Computing Systems Based on UML 2.3.
Trustcom/BigDataSE/ISPA
Kunding Fang, Xiaohong Li, Jianye Hao, Zhiyong Feng
2016 J jnl
Improved EGT-Based Robustness Analysis of Negotiation Strategies in Multiagent Systems via Model Checking.
IEEE Trans. Hum. Mach. Syst.
Songzheng Song, Jianye Hao, Yang Liu, Jun Sun, Ho-fung Leung, Jie Zhang
2016 A conf
Socially-Aware Multiagent Learning: Towards Socially Optimal Outcomes.
ECAI
Xiaohong Li, Chengwei Zhang, Jianye Hao, Karl Tuyls, Siqi Chen, Zhiyong Feng
2015 B conf
An Adaptive Markov Strategy for Effective Network Intrusion Detection.
ICTAI
Jianye Hao, Yinxing Xue, Mahinthan Chandramohan, Yang Liu, Jun Sun
2015 A conf
Heuristic Collective Learning for Efficient and Robust Emergence of Social Norms.
AAMAS
Jianye Hao, Jun Sun, Dongping Huang, Yi Cai, Chao Yu
2015 — conf
Hierarchical Learning for Emergence of Social Norms in Networked Multiagent Systems.
Australasian Conference on Artificial Intelligence
Chao Yu, Hongtao Lv, Fenghui Ren, Honglin Bao, Jianye Hao
2015 J jnl
Introducing decision entrustment mechanism into repeated bilateral agent interactions to achieve social optimality.
Auton. Agents Multi Agent Syst.
Jianye Hao, Ho-fung Leung
2015 J jnl
Multiagent Reinforcement Social Learning toward Coordination in Cooperative Multiagent Systems.
ACM Trans. Auton. Adapt. Syst.
Jianye Hao, Ho-fung Leung, Zhong Ming
2015 B conf
Reciprocal Social Strategy in Social Repeated Games.
ICTAI
Chi-Kong Chan, Jianye Hao, Ho-fung Leung
2015 J jnl
Reinforcement social learning of social optimality with influencer agents.
Web Intell.
Jianye Hao, Ho-fung Leung
2015 B conf
Toward Efficient Agreements in Real-Time Multilateral Agent-Based Negotiations.
ICTAI
Siqi Chen, Jianye Hao, Gerhard Weiss, Shuang Zhou, Zili Zhang
2014 — conf
Adaptive Defending Strategy for Smart Grid Attacks.
SEGS@CCS
Jianye Hao, Eunsuk Kang, Daniel Jackson, Jun Sun
2014 J jnl
An efficient and robust negotiating strategy in bilateral negotiations over multiple items.
Eng. Appl. Artif. Intell.
Jianye Hao, Songzheng Song, Ho-fung Leung, Zhong Ming
2014 — ch.
CUHKAgent: An Adaptive Negotiation Strategy for Bilateral Negotiations over Multiple Items.
Novel Insights in Agent-based Complex Automated Negotiation
Jianye Hao, Ho-fung Leung
2014 Misc conf
Evaluating Practical Automated Negotiation Based on Spatial Evolutionary Game Theory.
KI
Siqi Chen, Jianye Hao, Gerhard Weiss, Karl Tuyls, Ho-fung Leung
2014 B conf
Networked Reinforcement Social Learning towards Coordination in Cooperative Multiagent Systems.
ICTAI
Jianye Hao, Dongping Huang, Yi Cai, Ho-fung Leung
2014 — conf
Robustness Analysis of Negotiation Strategies through Multiagent Learning in Repeated Negotiation Games.
MATES
Jianye Hao, Siqi Chen, Gerhard Weiss, Ho-fung Leung, Karl Tuyls
2014 A conf
Spatial evolutionary game-theoretic perspective on agent-based complex negotiations.
ECAI
Siqi Chen, Jianye Hao, Gerhard Weiss, Karl Tuyls, Ho-fung Leung
2013 J jnl
Achieving Socially Optimal Outcomes in Multiagent Systems with Reinforcement Social Learning.
ACM Trans. Auton. Adapt. Syst.
Jianye Hao, Ho-fung Leung
2013 — —
Fairness, social optimality and individual rationality in agent interactions.
Jianye Hao
2013 A conf
Reinforcement social learning of coordination in cooperative multiagent systems.
AAMAS
Jianye Hao, Ho-fung Leung
2013 A* conf
The Dynamics of Reinforcement Social Learning in Cooperative Multiagent Systems.
IJCAI
Jianye Hao, Ho-fung Leung
2012 — conf
ABiNeS: An Adaptive Bilateral Negotiating Strategy over Multiple Items.
IAT
Jianye Hao, Ho-fung Leung
2012 — conf
Achieving Social Optimality with Influencer Agents.
Complex
Jianye Hao, Ho-fung Leung
2012 B conf
An Efficient Negotiation Protocol to Achieve Socially Optimal Allocation.
PRIMA
Jianye Hao, Ho-fung Leung
2012 A* conf
Analyzing multi-agent systems with probabilistic model checking approach.
ICSE
Songzheng Song, Jianye Hao, Yang Liu, Jun Sun, Ho-fung Leung, Jin Song Dong
2012 B conf
Incorporating Fairness into Agent Interactions Modeled as Two-Player Normal-Form Games.
PRICAI
Jianye Hao, Ho-fung Leung
2012 B conf
Incorporating Fairness into Infinitely Repeated Games with Conflicting Interests for Conflicts Elimination.
ICTAI
Jianye Hao, Ho-fung Leung
2012 B conf
Learning to Achieve Socially Optimal Solutions in General-Sum Games.
PRICAI
Jianye Hao, Ho-fung Leung
2012 B conf
Maintaining cooperation in homogeneous multi-agent system.
SMC
Jianye Hao, Ho-fung Leung
2012 B conf
Probabilistic Model Checking Multi-agent Behaviors in Dispersion Games Using Counter Abstraction.
PRIMA
Jianye Hao, Songzheng Song, Yang Liu, Jun Sun, Lin Gui, Jin Song Dong, Ho-fung Leung
2011 B conf
Learning to Achieve Social Rationality Using Tag Mechanism in Repeated Interactions.
ICTAI
Jianye Hao, Ho-fung Leung
2010 — conf
Strategy and Fairness in Repeated Two-agent Interaction.
ICTAI (2)
Jianye Hao, Ho-fung Leung
2009 — conf
Bus-Based and NoC Infrastructure Performance Emulation and Comparison.
ITNG
Ling Wang, Jianye Hao, Feixuan Wang
2007 C conf
Theoretical Investigation on Post-Processed LDA for Face and Palmprint Recognition.
CIS
Jianye Hao, Wangmeng Zuo, Kuanquan Wang