Jianye Hao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
195
Venues
47
Active years
2007–2026
Best venue rank
A*
Where they publish
- A*ICML30 papers
- A*ICLR26 papers
- A*AAAI22 papers
- A*IJCAI20 papers
- BICTAI8 papers
- A*CVPR6 papers
- AICCAD6 papers
- BPRICAI6 papers
- A*WWW5 papers
- A*KDD5 papers
- ACIKM4 papers
- AECAI4 papers
- A*ACL3 papers
- A*ICRA3 papers
- A*ICSE3 papers
- BPAKDD3 papers
- BICECCS3 papers
- ADATE2 papers
- A*ICCV2 papers
- AUAI2 papers
- CICANN2 papers
- A*SIGIR2 papers
- UnrankedCoRL2 papers
- BTrustCom2 papers
- BPRIMA2 papers
- BASPDAC1 paper
- AIROS1 paper
- AAISTATS1 paper
- BIJCNN1 paper
- A*DAC1 paper
- BDASFAA1 paper
- A*ICDM1 paper
- AITC1 paper
- AMICCAI1 paper
- AWSDM1 paper
- A*ICDE1 paper
- NationalICAISC1 paper
- BWCNC1 paper
- BFM1 paper
- CICFEM1 paper
- BMASS1 paper
- CQRS1 paper
- CSEKE1 paper
- A*CCS1 paper
- NationalKI1 paper
- BSMC1 paper
- CCIS1 paper
Papers
195 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | AgentSwift: Efficient LLM Agent Design via Value-Guided Hierarchical Search. | Yu Li, Lehui Li, Zhihao Wu, Qingmin Liao, Jianye Hao, Kun Shao, Fengli Xu |
| 2026 | DATE | PPA-driven Placement via Adaptive Cluster Constraints Optimization. | Ziyan Liu, Siyuan Xu, Jie Wang, Zijie Geng, Yeqiu Chen, Mingxuan Yuan, Jianye Hao, Feng Wu |
| 2026 | WWW | AFE-Master: Enhancing LLM-Driven Autonomous Feature Engineering with Domain-Specific Language Parsing and Guided Local Search. | Hebin Liang, Jianye Hao, Jinyi Liu, Yi Ma, Zilin Cao, Jing Liang, Kun Shao, Zhaocheng Du, Fei Ni, Yifu Yuan, Yan Zheng |
| 2025 | AAAI | Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning. | Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang |
| 2025 | AAAI | SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates. | Xi Zeng, Fei Ni, Shaoqing Jiao, Dazhi Lu, Jianye Hao, Jiajie Peng |
| 2025 | ACL | War of Thoughts: Competition Stimulates Stronger Reasoning in Large Language Models. | Yibin Chen, Jinyi Liu, Yan Zheng, Yifu Yuan, Jianye Hao |
| 2025 | ACL | DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering. | Rong Cheng, Jinyi Liu, Yan Zheng, Fei Ni, Jiazhen Du, Hangyu Mao, Fuzheng Zhang, Bo Wang, Jianye Hao |
| 2025 | ASPDAC | PCBAgent: An Agent-based Framework for High-Density Printed Circuit Board Placement. | Lin Chen, Ran Chen, Shoubo Hu, Xufeng Yao, Zhentao Tang, Shixiong Kai, Siyuan Xu, Mingxuan Yuan, Jianye Hao, Bei Yu, Jiang Xu |
| 2025 | CVPR | Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation. | Qi Lv, Hao Li, Xiang Deng, Rui Shao, Yinchuan Li, Jianye Hao, Longxiang Gao, Michael Yu Wang, Liqiang Nie |
| 2025 | CVPR | EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights. | Zhenghao Xing, Hao Chen, Binzhu Xie, Jiaqi Xu, Ziyu Guo, Xuemiao Xu, Jianye Hao, Chi-Wing Fu, Xiaowei Hu, Pheng-Ann Heng |
| 2025 | ICCV | RoboAnnotatorX: A Comprehensive and Universal Annotation Framework for Accurate Understanding of Long-Horizon Robot Demonstration. | Longxin Kou, Fei Ni, Yan Zheng, Peilong Han, Jinyi Liu, Haiqin Cui, Rui Liu, Jianye Hao |
| 2025 | ICLR | Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming. | Haoyang Liu, Jie Wang, Zijie Geng, Xijun Li, Yuxuan Zong, Fangzhou Zhu, Jianye Hao, Feng Wu |
| 2025 | ICLR | A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization. | Yinqi Bai, Jie Wang, Lei Chen, Zhihai Wang, Yufei Kuang, Mingxuan Yuan, Jianye Hao, Feng Wu |
| 2025 | ICLR | Spa-Bench: a comprehensive Benchmark for Smartphone Agent Evaluation. | 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 | ICLR | Lightweight Neural App Control. | Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao |
| 2025 | ICLR | 3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds. | Hengshuo Chu, Xiang Deng, Qi Lv, Xiaoyang Chen, Yinchuan Li, Jianye Hao, Liqiang Nie |
| 2025 | ICLR | LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement. | Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Feng Wu |
| 2025 | ICLR | Differentiable Integer Linear Programming. | Zijie Geng, Jie Wang, Xijun Li, Fangzhou Zhu, Jianye Hao, Bin Li, Feng Wu |
| 2025 | ICLR | DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent. | Taiyi Wang, Zhihao Wu, Jianheng Liu, Jianye Hao, Jun Wang, Kun Shao |
| 2025 | ICLR | Computing Circuits Optimization via Model-Based Circuit Genetic Evolution. | Zhihai Wang, Jie Wang, Xilin Xia, Dongsheng Zuo, Lei Chen, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Feng Wu |
| 2025 | ICML | R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models. | Pengyi Li, Jianye Hao, Hongyao Tang, Yifu Yuan, Jinbin Qiao, Zibin Dong, Yan Zheng |
| 2025 | ICML | HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking. | Runquan Gui, Zhihai Wang, Jie Wang, Chi Ma, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu |
| 2025 | ICML | STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization. | Hao Li, Qi Lv, Rui Shao, Xiang Deng, Yinchuan Li, Jianye Hao, Liqiang Nie |
| 2025 | ICML | Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples. | Xize Liang, Lin Yang, Jie Wang, Yiyang Lu, Runyu Wu, Hanzhu Chen, Jianye Hao |
| 2025 | ICML | Accelerating Large Language Model Reasoning via Speculative Search. | Zhihai Wang, Jie Wang, Jilai Pan, Xilin Xia, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Feng Wu |
| 2025 | ICML | Trajectory World Models for Heterogeneous Environments. | Shaofeng Yin, Jialong Wu, Siqiao Huang, Xingjian Su, Xu He, Jianye Hao, Mingsheng Long |
| 2025 | ICML | MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning. | Yifu Yuan, Zhenrui Zheng, Zibin Dong, Jianye Hao |
| 2025 | IJCAI | The Graph's Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation. | Reza Moravej, Saurabh Bodhe, Zhanguang Zhang, Didier Chtelat, Dimitrios Tsaras, Yingxue Zhang, Hui-Ling Zhen, Jianye Hao, Mingxuan Yuan |
| 2025 | IJCAI | Reinforced In-Context Black-Box Optimization. | Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian |
| 2025 | IROS | ET-Plan-Bench: Embodied Task-level Planning Benchmark Towards Spatial-Temporal Cognition with Foundation Models. | 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 | KDD | CoopRide: Cooperate All Grids in City-Scale Ride-Hailing Dispatching with Multi-Agent Reinforcement Learning. | Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Qin Zhang, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li |
| 2025 | WWW | SheetAgent: Towards a Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models. | Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao, Hangyu Mao, Fuzheng Zhang |
| 2024 | AAAI | OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments. | Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun |
| 2024 | AAAI | Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces. | Xiaotian Hao, Jianye Hao, Chenjun Xiao, Kai Li, Dong Li, Yan Zheng |
| 2024 | AAAI | PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. | Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor |
| 2024 | AAAI | A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning. | Tianpei Yang, Heng You, Jianye Hao, Yan Zheng, Matthew E. Taylor |
| 2024 | AAAI | PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. | Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan |
| 2024 | ACL | EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems. | 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 | CVPR | Improving Unsupervised Hierarchical Representation With Reinforcement Learning. | Ruyi An, Yewen Li, Xu He, Pengjie Gu, Mengchen Zhao, Dong Li, Jianye Hao, Chaojie Wang, Bo An, Mingyuan Zhou |
| 2024 | CVPR | Generate Subgoal Images Before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts. | Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Jiashun Liu, Yan Zheng, Bin Wang, Yuzheng Zhuang |
| 2024 | ICCAD | JigsawPlanner: Jigsaw-like Floorplanner for Eliminating Whitespace and Overlap among Complex Rectilinear Modules. | Xingbo Du, Ruizhe Zhong, Shixiong Kai, Zhentao Tang, Siyuan Xu, Jianye Hao, Mingxuan Yuan, Junchi Yan |
| 2024 | ICLR | Sample-Efficient Quality-Diversity by Cooperative Coevolution. | Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian |
| 2024 | ICLR | AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model. | Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu |
| 2024 | ICLR | Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework. | Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu |
| 2024 | ICLR | Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback. | Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng |
| 2024 | ICML | Sample-Efficient Multiagent Reinforcement Learning with Reset Replay. | Yaodong Yang, Guangyong Chen, Jianye Hao, Pheng-Ann Heng |
| 2024 | ICML | Reinforcement Learning within Tree Search for Fast Macro Placement. | Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu |
| 2024 | ICML | KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations. | Longxin Kou, Fei Ni, Yan Zheng, Jinyi Liu, Yifu Yuan, Zibin Dong, Jianye Hao |
| 2024 | ICML | Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph. | Yufei Kuang, Jie Wang, Yuyan Zhou, Xijun Li, Fangzhou Zhu, Jianye Hao, Feng Wu |
| 2024 | ICML | EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search. | Pengyi Li, Yan Zheng, Hongyao Tang, Xian Fu, Jianye Hao |
| 2024 | ICML | Value-Evolutionary-Based Reinforcement Learning. | Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Fazl Barez |
| 2024 | ICML | Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation. | Jiashun Liu, Jianye Hao, Yi Ma, Shuyin Xia |
| 2024 | ICML | HarmonyDream: Task Harmonization Inside World Models. | Haoyu Ma, Jialong Wu, Ningya Feng, Chenjun Xiao, Dong Li, Jianye Hao, Jianmin Wang, Mingsheng Long |
| 2024 | ICML | Rethinking Decision Transformer via Hierarchical Reinforcement Learning. | Yi Ma, Jianye Hao, Hebin Liang, Chenjun Xiao |
| 2024 | ICML | A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design. | Zhihai Wang, Lei Chen, Jie Wang, Yinqi Bai, Xing Li, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu |
| 2024 | ICML | A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design. | Zhihai Wang, Jie Wang, Dongsheng Zuo, Yunjie Ji, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu |
| 2024 | ICML | Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting. | Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang |
| 2024 | IJCAI | ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles. | Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng |
| 2024 | IJCAI | vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. | Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan |
| 2024 | ICRA | Safe Table Tennis Swing Stroke with Low-Cost Hardware. | Francesco Cursi, Marcus Kalander, Shuang Wu, Xidi Xue, Yu Tian, Guangjian Tian, Xingyue Quan, Jianye Hao |
| 2024 | KDD | DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation. | Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li |
| 2024 | KDD | GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. | Zhanguang Zhang, Didier Chtelat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan |
| 2024 | WWW | The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies. | 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 | UAI | Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search. | Jiashun Liu, Xiaotian Hao, Jianye Hao, Yan Zheng, Yujing Hu, Changjie Fan, Tangjie Lv, Zhipeng Hu |
| 2023 | AAAI | SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem. | Hebin Liang, Yi Ma, Zilin Cao, Tianyang Liu, Fei Ni, Zhigang Li, Jianye Hao |
| 2023 | AAAI | Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. | Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng |
| 2023 | AAAI | Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. | Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates |
| 2023 | AAAI | Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. | Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo |
| 2023 | AISTATS | Spectral Augmentations for Graph Contrastive Learning. | Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates |
| 2023 | CIKM | A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving. | Hebin Liang, Zibin Dong, Yi Ma, Xiaotian Hao, Yan Zheng, Jianye Hao |
| 2023 | CIKM | Dual-Process Graph Neural Network for Diversified Recommendation. | Yuanyi Ren, Hang Ni, Yingxue Zhang, Xi Wang, Guojie Song, Dong Li, Jianye Hao |
| 2023 | CVPR | Co-speech Gesture Synthesis by Reinforcement Learning with Contrastive Pretrained Rewards. | Mingyang Sun, Mengchen Zhao, Yaqing Hou, Minglei Li, Huang Xu, Songcen Xu, Jianye Hao |
| 2023 | DATE | TOFU: A Two-Step Floorplan Refinement Framework for Whitespace Reduction. | Shixiong Kai, Chak-Wa Pui, Fangzhou Wang, Shougao Jiang, Bin Wang, Yu Huang, Jianye Hao |
| 2023 | ECAI | BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization. | Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen |
| 2023 | ICANN | Limited Information Opponent Modeling. | Yongliang Lv, Yuanqiang Yu, Yan Zheng, Jianye Hao, Yongming Wen, Yue Yu |
| 2023 | ICCAD | EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing. | Peiyu Wang, Anqi Lu, Xing Li, Junjie Ye, Lei Chen, Mingxuan Yuan, Jianye Hao, Junchi Yan |
| 2023 | ICCAD | EasySO: Exploration-enhanced Reinforcement Learning for Logic Synthesis Sequence Optimization and a Comprehensive RL Environment. | Jianyong Yuan, Peiyu Wang, Junjie Ye, Mingxuan Yuan, Jianye Hao, Junchi Yan |
| 2023 | ICCV | Traj-MAE: Masked Autoencoders for Trajectory Prediction. | Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng |
| 2023 | ICLR | Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. | Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia |
| 2023 | ICLR | Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks. | Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang |
| 2023 | ICLR | ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. | Jianye Hao, Pengyi Li, Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng |
| 2023 | ICLR | DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks. | Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang |
| 2023 | ICLR | GFlowNets with Human Feedback. | Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao |
| 2023 | ICLR | CFlowNets: Continuous Control with Generative Flow Networks. | Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao |
| 2023 | ICLR | Regularized Offline GFlowNets. | Haozhi Wang, Yunfeng Shao, Jianye Hao, Yinchuan Li |
| 2023 | ICLR | Out-of-distribution Detection with Implicit Outlier Transformation. | Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han |
| 2023 | ICLR | EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. | Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan |
| 2023 | ICML | ChiPFormer: Transferable Chip Placement via Offline Decision Transformer. | Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo |
| 2023 | ICML | RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution. | Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu |
| 2023 | ICML | MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL. | Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang |
| 2023 | IJCAI | Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. | Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao |
| 2023 | IJCNN | T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler. | Yuanqiang Yu, Tianpei Yang, Yongliang Lv, Yan Zheng, Jianye Hao |
| 2023 | ICSE | Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. | 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 | PAKDD | Transfer Reinforcement Learning Based Negotiating Agent Framework. | Siqi Chen, Tianpei Yang, Heng You, Jianing Zhao, Jianye Hao, Gerhard Weiss |
| 2023 | PAKDD | RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. | Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng |
| 2023 | WWW | Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System. | Zhenyang Li, Yancheng Dong, Chen Gao, Yizhou Zhao, Dong Li, Jianye Hao, Kai Zhang, Yong Li, Zhi Wang |
| 2023 | SIGIR | Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. | Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li |
| 2022 | AAAI | What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. | Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang |
| 2022 | CoRL | Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System. | Zipeng Dai, Tianze Zhou, Kun Shao, David Henry Mguni, Bin Wang, Jianye Hao |
| 2022 | DAC | LHNN: lattice hypergraph neural network for VLSI congestion prediction. | Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng |
| 2022 | DASFAA | Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity. | Yixu Gao, Kun Shao, Zhijian Duan, Zhongyu Wei, Dong Li, Bin Wang, Mengchen Zhao, Jianye Hao |
| 2022 | ICCAD | Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis. | Chang Feng, Wenlong Lyu, Zhitang Chen, Junjie Ye, Mingxuan Yuan, Jianye Hao |
| 2022 | ICCAD | Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration. | Xinyi Zhou, Junjie Ye, Chak-Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng |
| 2022 | ICDM | Invariant Factor Graph Neural Networks. | Zheng Fang, Ziyun Zhang, Guojie Song, Yingxue Zhang, Dong Li, Jianye Hao, Xi Wang |
| 2022 | ICLR | Online Ad Hoc Teamwork under Partial Observability. | Pengjie Gu, Mengchen Zhao, Jianye Hao, Bo An |
| 2022 | ICLR | HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation. | Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang |
| 2022 | ICLR | Learning State Representations via Retracing in Reinforcement Learning. | Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess |
| 2022 | ICML | Neuro-Symbolic Hierarchical Rule Induction. | Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao |
| 2022 | ICML | Learning Pseudometric-based Action Representations for Offline Reinforcement Learning. | Pengjie Gu, Mengchen Zhao, Chen Chen, Dong Li, Jianye Hao, Bo An |
| 2022 | ICML | PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. | Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang |
| 2022 | ICML | Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. | Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang |
| 2022 | ICML | Individual Reward Assisted Multi-Agent Reinforcement Learning. | Li Wang, Yupeng Zhang, Yujing Hu, Weixun Wang, Chongjie Zhang, Yang Gao, Jianye Hao, Tangjie Lv, Changjie Fan |
| 2022 | IJCAI | PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. | Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang |
| 2022 | ICRA | Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. | Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang |
| 2022 | ITC | RCANet: Root Cause Analysis via Latent Variable Interaction Modeling for Yield Improvement. | Xiaopeng Zhang, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Evangeline F. Y. Young, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao |
| 2022 | KDD | Generalizable Floorplanner through Corner Block List Representation and Hypergraph Embedding. | Mohammad Amini, Zhanguang Zhang, Surya Penmetsa, Yingxue Zhang, Jianye Hao, Wulong Liu |
| 2022 | MICCAI | Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. | Jinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, Pheng-Ann Heng |
| 2022 | UAI | Cross-domain adaptive transfer reinforcement learning based on state-action correspondence. | Heng You, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor |
| 2022 | WSDM | Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. | Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King |
| 2021 | AAAI | Addressing Action Oscillations through Learning Policy Inertia. | Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng |
| 2021 | AAAI | Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. | Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu |
| 2021 | AAAI | Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. | Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao |
| 2021 | CIKM | CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. | Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang |
| 2021 | CVPR | CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models. | Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang |
| 2021 | ICCAD | A Unified Framework for Layout Pattern Analysis with Deep Causal Estimation. | Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao |
| 2021 | ICDE | Coalition-based Task Assignment in Spatial Crowdsourcing. | Yan Zhao, Jiannan Guo, Xuanhao Chen, Jianye Hao, Xiaofang Zhou, Kai Zheng |
| 2021 | ICML | Principled Exploration via Optimistic Bootstrapping and Backward Induction. | Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang |
| 2021 | IJCAI | Ordering-Based Causal Discovery with Reinforcement Learning. | Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang |
| 2021 | ICRA | Relational Navigation Learning in Continuous Action Space among Crowds. | Xueyou Zhang, Wei Xi, Xian Guo, Yongchun Fang, Bin Wang, Wulong Liu, Jianye Hao |
| 2021 | ICSE | Automatic Web Testing Using Curiosity-Driven Reinforcement Learning. | Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, Yang Liu |
| 2021 | ICTAI | A deep reinforcement learning-based agent for negotiation with multiple communication channels. | Xiaoyang Gao, Siqi Chen, Yan Zheng, Jianye Hao |
| 2021 | KDD | A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem. | Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He |
| 2021 | PRICAI | Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic. | Shiyu Huang, Bin Wang, Hang Su, Dong Li, Jianye Hao, Jun Zhu, Ting Chen |
| 2021 | PRICAI | Detecting and Learning Against Unknown Opponents for Automated Negotiations. | Leling Wu, Siqi Chen, Xiaoyang Gao, Yan Zheng, Jianye Hao |
| 2021 | WWW | An Adversarial Imitation Click Model for Information Retrieval. | Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu |
| 2021 | SIGIR | A Graph-Enhanced Click Model for Web Search. | Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu |
| 2020 | AAAI | Multi-Agent Game Abstraction via Graph Attention Neural Network. | Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao |
| 2020 | AAAI | Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. | Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao |
| 2020 | AAAI | Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management. | Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu |
| 2020 | AAAI | From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. | Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao |
| 2020 | CoRL | SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. | 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 | ICAISC | Faster Convention Emergence by Avoiding Local Conventions in Reinforcement Social Learning. | Muzi Liu, Ho-fung Leung, Jianye Hao |
| 2020 | ICECCS | An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks. | Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Ting Dai |
| 2020 | ICLR | Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. | Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao |
| 2020 | ICML | Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. | 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 | ICML | Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. | Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei |
| 2020 | IJCAI | Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. | Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu |
| 2020 | IJCAI | Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. | Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai |
| 2020 | IJCAI | Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning. | Ruimin Shen, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yingfeng Chen, Changjie Fan, Yang Liu |
| 2020 | IJCAI | Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. | Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng |
| 2020 | IJCAI | KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. | Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng |
| 2020 | PAKDD | Cross-data Automatic Feature Engineering via Meta-learning and Reinforcement Learning. | Jianyu Zhang, Jianye Hao, Franoise Fogelman-Souli |
| 2019 | AAAI | An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning. | Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang |
| 2019 | CIKM | Learning Adaptive Display Exposure for Real-Time Advertising. | 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 | IJCAI | Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. | Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan |
| 2019 | IJCAI | Explicitly Coordinated Policy Iteration. | Yujing Hu, Yingfeng Chen, Changjie Fan, Jianye Hao |
| 2019 | IJCAI | Building Personalized Simulator for Interactive Search. | Qianlong Liu, Baoliang Cui, Zhongyu Wei, Baolin Peng, Haikuan Huang, Hongbo Deng, Jianye Hao, Xuanjing Huang, Kam-Fai Wong |
| 2019 | IJCAI | Towards Efficient Detection and Optimal Response against Sophisticated Opponents. | Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng |
| 2019 | IJCAI | Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework. | Yaodong Yang, Jianye Hao, Yan Zheng, Chao Yu |
| 2019 | WCNC | An Efficient Handover Authentication Mechanism for 5G Wireless Network. | Kaihong Han, Maode Ma, Xiaohong Li, Zhiyong Feng, Jianye Hao |
| 2018 | FM | Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning. | Takumi Akazaki, Shuang Liu, Yoriyuki Yamagata, Yihai Duan, Jianye Hao |
| 2018 | IJCAI | Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid. | Yaodong Yang, Jianye Hao, Mingyang Sun, Zan Wang, Changjie Fan, Goran Strbac |
| 2018 | PRICAI | Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space. | Wanshu Liu, Chengwei Zhang, Tianpei Yang, Jianye Hao, Xiaohong Li, Zhijie Bao |
| 2018 | PRICAI | Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. | Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang |
| 2018 | TrustCom | ESRQ: An Efficient Secure Routing Method in Wireless Sensor Networks Based on Q-Learning. | Gaosheng Liu, Xin Wang, Xiaohong Li, Jianye Hao, Zhiyong Feng |
| 2017 | AAAI | Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack. | Xiaohong Li, Shuxin Li, Jianye Hao, Zhiyong Feng, Bo An |
| 2017 | ICANN | A Prediction and Learning Based Approach to Network Selection in Dynamic Environments. | Xiaohong Li, Ru Cao, Jianye Hao, Zhiyong Feng |
| 2017 | ICECCS | Towards Solving Decision Making Problems Using Probabilistic Model Checking. | Ling Shi, Shuang Liu, Jianye Hao, Jun Yang Koh, Zhe Hou, Jin Song Dong |
| 2017 | ICECCS | TLSsem: A TLS Security-Enhanced Mechanism against MITM Attacks in Public WiFis. | Wei Yang, Xiaohong Li, Zhiyong Feng, Jianye Hao |
| 2017 | ICFEM | An Improved Android Collusion Attack Detection Method Based on Program Slicing. | Yunhao Liu, Xiaohong Li, Zhiyong Feng, Jianye Hao |
| 2017 | IJCAI | Defending Against Man-In-The-Middle Attack in Repeated Games. | Shuxin Li, Xiaohong Li, Jianye Hao, Bo An, Zhiyong Feng, Kangjie Chen, Chengwei Zhang |
| 2017 | MASS | An Adaptive Handover Trigger Strategy for 5G C/U Plane Split Heterogeneous Network. | Huijuan He, Xiaohong Li, Zhiyong Feng, Jianye Hao, Xiaofei Wang, Haijun Zhang |
| 2017 | QRS | FESR: A Framework for Eliciting Security Requirements Based on Integration of Common Criteria and Weakness Detection Formal Model. | Hongbo Li, Xiaohong Li, Jianye Hao, Guangquan Xu, Zhiyong Feng, Xiaofei Xie |
| 2017 | SEKE | Automated Software Security Requirements Recommendation Based on FT-SR Model. | Jiangjuan Wang, Xiaohong Li, Zhiyong Feng, Jianye Hao, Guangquan Xu, Zhuobing Han |
| 2016 | ECAI | Socially-Aware Multiagent Learning: Towards Socially Optimal Outcomes. | Xiaohong Li, Chengwei Zhang, Jianye Hao, Karl Tuyls, Siqi Chen, Zhiyong Feng |
| 2016 | ECAI | Accelerating Norm Emergence Through Hierarchical Heuristic Learning. | Tianpei Yang, Zhaopeng Meng, Jianye Hao, Sandip Sen, Chao Yu |
| 2016 | TrustCom | Formal Modeling and Verification of Security Protocols on Cloud Computing Systems Based on UML 2.3. | Kunding Fang, Xiaohong Li, Jianye Hao, Zhiyong Feng |
| 2015 | ICTAI | Reciprocal Social Strategy in Social Repeated Games. | Chi-Kong Chan, Jianye Hao, Ho-fung Leung |
| 2015 | ICTAI | Toward Efficient Agreements in Real-Time Multilateral Agent-Based Negotiations. | Siqi Chen, Jianye Hao, Gerhard Weiss, Shuang Zhou, Zili Zhang |
| 2015 | ICTAI | An Adaptive Markov Strategy for Effective Network Intrusion Detection. | Jianye Hao, Yinxing Xue, Mahinthan Chandramohan, Yang Liu, Jun Sun |
| 2014 | CCS | Adaptive Defending Strategy for Smart Grid Attacks. | Jianye Hao, Eunsuk Kang, Daniel Jackson, Jun Sun |
| 2014 | ECAI | Spatial evolutionary game-theoretic perspective on agent-based complex negotiations. | Siqi Chen, Jianye Hao, Gerhard Weiss, Karl Tuyls, Ho-fung Leung |
| 2014 | ICTAI | Networked Reinforcement Social Learning towards Coordination in Cooperative Multiagent Systems. | Jianye Hao, Dongping Huang, Yi Cai, Ho-fung Leung |
| 2014 | KI | Evaluating Practical Automated Negotiation Based on Spatial Evolutionary Game Theory. | Siqi Chen, Jianye Hao, Gerhard Weiss, Karl Tuyls, Ho-fung Leung |
| 2013 | IJCAI | The Dynamics of Reinforcement Social Learning in Cooperative Multiagent Systems. | Jianye Hao, Ho-fung Leung |
| 2012 | ICSE | Analyzing multi-agent systems with probabilistic model checking approach. | Songzheng Song, Jianye Hao, Yang Liu, Jun Sun, Ho-fung Leung, Jin Song Dong |
| 2012 | ICTAI | Incorporating Fairness into Infinitely Repeated Games with Conflicting Interests for Conflicts Elimination. | Jianye Hao, Ho-fung Leung |
| 2012 | PRICAI | Learning to Achieve Socially Optimal Solutions in General-Sum Games. | Jianye Hao, Ho-fung Leung |
| 2012 | PRICAI | Incorporating Fairness into Agent Interactions Modeled as Two-Player Normal-Form Games. | Jianye Hao, Ho-fung Leung |
| 2012 | PRIMA | An Efficient Negotiation Protocol to Achieve Socially Optimal Allocation. | Jianye Hao, Ho-fung Leung |
| 2012 | PRIMA | Probabilistic Model Checking Multi-agent Behaviors in Dispersion Games Using Counter Abstraction. | Jianye Hao, Songzheng Song, Yang Liu, Jun Sun, Lin Gui, Jin Song Dong, Ho-fung Leung |
| 2012 | SMC | Maintaining cooperation in homogeneous multi-agent system. | Jianye Hao, Ho-fung Leung |
| 2011 | ICTAI | Learning to Achieve Social Rationality Using Tag Mechanism in Repeated Interactions. | Jianye Hao, Ho-fung Leung |
| 2010 | ICTAI | Strategy and Fairness in Repeated Two-agent Interaction. | Jianye Hao, Ho-fung Leung |
| 2007 | CIS | Theoretical Investigation on Post-Processed LDA for Face and Palmprint Recognition. | Jianye Hao, Wangmeng Zuo, Kuanquan Wang |