Yang Yu

333 papers A* 114A 18B 8C 2Journal 170Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey on Large Language Models for Mathematical Reasoning.
ACM Comput. Surv.
Peng-Yuan Wang, Tian-Shuo Liu, Chenyang Wang, Ziniu Li, Yidi Wang, Shu Yan, Chengxing Jia, Xu-Hui Liu, Xinwei Chen, Jiacheng Xu, Yang Yu
2026 A* conf
Multi-agent In-context Coordination via Decentralized Memory Retrieval.
AAAI
Tao Jiang, Zichuan Lin, Lihe Li, Yi-Chen Li, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu, Deheng Ye
2026 J jnl
Non-Adversarial Imitation Learning Provably Free of Compounding Errors: The Role of Bellman Constraints.
CoRR
Tian Xu, Chenyang Wang, Xiaochen Zhai, Ziniu Li, Yi-Chen Li, Yang Yu
2026 J jnl
Off-Policy Value-Based Reinforcement Learning for Large Language Models.
CoRR
Peng-Yuan Wang, Ziniu Li, Tian Xu, Bohan Yang, Tian-Shuo Liu, Chenyang Wang, Xiong-Hui Chen, Yi-Chen Li, Tianyun Yang, Congliang Chen, Yang Yu
2026 A* conf
Reward Model Evaluation via Automatically-Ranked Policy Alignment.
AAAI
Aoran Wang, Lei Ou, Yang Yu, Zongzhang Zhang
2025 A* conf
Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning.
ICLR
Haoxin Lin, Yu-Yan Xu, Yihao Sun, Zhilong Zhang, Yi-Chen Li, Chengxing Jia, Junyin Ye, Jiaji Zhang, Yang Yu
2025 A* conf
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning.
ICML
Chen-Xiao Gao, Chenyang Wu, Mingjun Cao, Chenjun Xiao, Yang Yu, Zongzhang Zhang
2025 J jnl
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning.
CoRR
Chen-Xiao Gao, Chenyang Wu, Mingjun Cao, Chenjun Xiao, Yang Yu, Zongzhang Zhang
2025 J jnl
Constraining an Unconstrained Multi-agent Policy with offline data.
Neural Networks
Cong Guan, Tao Jiang, Yi-Chen Li, Zongzhang Zhang, Lei Yuan, Yang Yu
2025 A* conf
Controlling Large Language Model with Latent Action.
ICML
Chengxing Jia, Ziniu Li, Pengyuan Wang, Yi-Chen Li, Zhenyu Hou, Yuxiao Dong, Yang Yu
2025 J jnl
Controlling Large Language Model with Latent Actions.
CoRR
Chengxing Jia, Ziniu Li, Pengyuan Wang, Yi-Chen Li, Zhenyu Hou, Yuxiao Dong, Yang Yu
2025 J jnl
Efficient Communication via Self-Supervised Information Aggregation for Online and Offline Multiagent Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Cong Guan, Feng Chen, Lei Yuan, Zongzhang Zhang, Yang Yu
2025 J jnl
Efficient Multi-Agent Cooperation Learning through Teammate Lookahead.
Trans. Mach. Learn. Res.
Feng Chen, Xinwei Chen, Rong-Jun Qin, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu
2025 A* conf
Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching.
ICLR
Lei Yuan, Yuqi Bian, Lihe Li, Ziqian Zhang, Cong Guan, Yang Yu
2025 J jnl
Generalist Reward Models: Found Inside Large Language Models.
CoRR
Yi-Chen Li, Tian Xu, Yang Yu, Xuqin Zhang, Xiong-Hui Chen, Zhongxiang Ling, Ningjing Chao, Lei Yuan, Zhi-Hua Zhou
2025 J jnl
Generalizable Multi-Modal Adversarial Imitation Learning for Non-Stationary Dynamics.
IEEE Trans. Pattern Anal. Mach. Intell.
Yi-Chen Li, Ningjing Chao, Zongzhang Zhang, Fuxiang Zhang, Lei Yuan, Yang Yu
2025 J jnl
Generalizable Offline Multiobjective Reinforcement Learning via Preference-Conditioned Diffuser.
IEEE Trans. Neural Networks Learn. Syst.
Yuchen Xiao, Lei Yuan, Lihe Li, Ziqian Zhang, Yi-Chen Li, Yang Yu
2025 J jnl
Heterogeneous Multiagent Zero-Shot Coordination by Coevolution.
IEEE Trans. Evol. Comput.
Ke Xue, Yutong Wang, Cong Guan, Lei Yuan, Haobo Fu, Qiang Fu, Chao Qian, Yang Yu
2025 J jnl
ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts.
CoRR
Jing-Cheng Pang, Kaiyuan Li, Yidi Wang, Si-Hang Yang, Shengyi Jiang, Yang Yu
2025 A* conf
Improving Reward Model Generalization from Adversarial Process Enhanced Preferences.
ICML
Zhilong Zhang, Tian Xu, Xinghao Du, Xingchen Cao, Yihao Sun, Yang Yu
2025 J jnl
Improving Sample Efficiency of Reinforcement Learning With Background Knowledge From Large Language Models.
IEEE Trans. Neural Networks Learn. Syst.
Fuxiang Zhang, Junyou Li, Yi-Chen Li, Zongzhang Zhang, Yang Yu, Deheng Ye
2025 J jnl
Interactive Large Language Models for Reliable Answering under Incomplete Context.
Trans. Mach. Learn. Res.
Jing-Cheng Pang, Heng-Bo Fan, Pengyuan Wang, Jiahao Xiao, Nan Tang, Si-Hang Yang, Chengxing Jia, Ming-Kun Xie, Xiang Chen, Sheng-Jun Huang, Yang Yu
2025 A* conf
LLM-Assisted Semantically Diverse Teammate Generation for Efficient Multi-agent Coordination.
ICML
Lihe Li, Lei Yuan, Pengsen Liu, Tao Jiang, Yang Yu
2025 A* conf
Learning View-invariant World Models for Visual Robotic Manipulation.
ICLR
Jing-Cheng Pang, Nan Tang, Kaiyuan Li, Yuting Tang, Xin-Qiang Cai, Zhen-Yu Zhang, Gang Niu, Masashi Sugiyama, Yang Yu
2025 J jnl
Learning to Coordinate With Different Teammates via Team Probing.
IEEE Trans. Neural Networks Learn. Syst.
Hao Ding, Chengxing Jia, Zongzhang Zhang, Cong Guan, Feng Chen, Lei Yuan, Yang Yu
2025 A* conf
Learning to Reuse Policies in State Evolvable Environments.
ICML
Ziqian Zhang, Bohan Yang, Lihe Li, Yuqi Bian, Ruiqi Xue, Feng Chen, Yi-Chen Li, Lei Yuan, Yang Yu
2025 J jnl
Learnware of Language Models: Specialized Small Language Models Can Do Big.
CoRR
Zhi-Hao Tan, Zi-Chen Zhao, Hao-Yu Shi, Xin-Yu Zhang, Peng Tan, Yang Yu, Zhi-Hua Zhou
2025 J jnl
Multi-agent In-context Coordination via Decentralized Memory Retrieval.
CoRR
Tao Jiang, Zichuan Lin, Lihe Li, Yi-Chen Li, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu, Deheng Ye
2025 J jnl
Multiagent Continual Coordination via Progressive Task Contextualization.
IEEE Trans. Neural Networks Learn. Syst.
Lei Yuan, Lihe Li, Ziqian Zhang, Fuxiang Zhang, Cong Guan, Yang Yu
2025 J jnl
NeoRL-2: Near Real-World Benchmarks for Offline Reinforcement Learning with Extended Realistic Scenarios.
CoRR
Songyi Gao, Zuolin Tu, Rong-Jun Qin, Yi-Hao Sun, Xiong-Hui Chen, Yang Yu
2025 J jnl
Offline model-based reinforcement learning with causal structured world models.
Frontiers Comput. Sci.
Zhengmao Zhu, Hong-Long Tian, Xionghui Chen, Kun Zhang, Yang Yu
2025 A* conf
On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models.
ICLR
Xu-Hui Liu, Yali Du, Jun Wang, Yang Yu
2025 J jnl
Open and real-world human-AI coordination by heterogeneous training with communication.
Frontiers Comput. Sci.
Cong Guan, Ke Xue, Chunpeng Fan, Feng Chen, Lichao Zhang, Lei Yuan, Chao Qian, Yang Yu
2025 A* conf
Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation.
ICLR
Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu, Bo An
2025 J jnl
ReLAM: Learning Anticipation Model for Rewarding Visual Robotic Manipulation.
CoRR
Nan Tang, Jing-Cheng Pang, Guanlin Li, Chao Qian, Yang Yu
2025 J jnl
Reinforcement Learning With Sparse-Executing Action via Sparsity Regularization.
IEEE Trans. Neural Networks Learn. Syst.
Jing-Cheng Pang, Tian Xu, Shengyi Jiang, Yu-Ren Liu, Yang Yu
2025 A* conf
SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization.
ICLR
Hong Qian, Yiyi Zhu, Xiang Shu, Shuo Liu, Yaolin Wen, Xin An, Huakang Lu, Aimin Zhou, Ke Tang, Yang Yu
2025 A* conf
Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning.
ICLR
Tian-Shuo Liu, Xu-Hui Liu, Ruifeng Chen, Lixuan Jin, Pengyuan Wang, Zhilong Zhang, Yang Yu
2025 J jnl
Sentence-level Reward Model can Generalize Better for Aligning LLM from Human Preference.
CoRR
Wenjie Qiu, Yi-Chen Li, Xuqin Zhang, Tianyi Zhang, Yihang Zhang, Zongzhang Zhang, Yang Yu
2024 J jnl
A Blockchain-Based Privacy-Preserving Scheme for Sealed-Bid Auction.
IEEE Trans. Dependable Secur. Comput.
Zijian Zhang, Xin Lu, Meng Li, Jincheng An, Yang Yu, Hao Yin, Liehuang Zhu, Yong Liu, Jiamou Liu, Bakh Khoussainov
2024 J jnl
A survey on model-based reinforcement learning.
Sci. China Inf. Sci.
Fan-Ming Luo, Tian Xu, Hang Lai, Xiong-Hui Chen, Weinan Zhang, Yang Yu
2024 A* conf
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning.
AAAI
Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu
2024 J jnl
Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning.
CoRR
Haoxin Lin, Yu-Yan Xu, Yihao Sun, Zhilong Zhang, Yi-Chen Li, Chengxing Jia, Junyin Ye, Jiaji Zhang, Yang Yu
2024 J jnl
BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation.
CoRR
Chengxing Jia, Pengyuan Wang, Ziniu Li, Yi-Chen Li, Zhilong Zhang, Nan Tang, Yang Yu
2024 A* conf
Beimingwu: A Learnware Dock System.
KDD
Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu, Zhi-Hua Zhou
2024 J jnl
Beimingwu: A Learnware Dock System.
CoRR
Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu, Zhi-Hua Zhou
2024 J jnl
Communication-robust multi-agent learning by adaptable auxiliary multi-agent adversary generation.
Frontiers Comput. Sci.
Lei Yuan, Feng Chen, Zongzhang Zhang, Yang Yu
2024 A* conf
Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal.
IJCAI
Lihe Li, Ruotong Chen, Ziqian Zhang, Zhichao Wu, Yi-Chen Li, Cong Guan, Yang Yu, Lei Yuan
2024 A conf
Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation.
AAMAS
Cong Guan, Ruiqi Xue, Ziqian Zhang, Lihe Li, Yi-Chen Li, Lei Yuan, Yang Yu
2024 A* conf
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics.
ICML
Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu
2024 J jnl
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics.
CoRR
Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu
2024 A conf
Deep Anomaly Detection via Active Anomaly Search.
AAMAS
Chao Chen, Dawei Wang, Feng Mao, Jiacheng Xu, Zongzhang Zhang, Yang Yu
2024 A* conf
Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration.
ICML
Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Xuhui Liu, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Yang Yu, Anqi Huang, Kai Xu, Zongzhang Zhang
2024 A conf
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation.
AAMAS
Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu
2024 J jnl
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation.
CoRR
Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu
2024 — conf
Dynamics Adaptive Safe Reinforcement Learning with a Misspecified Simulator.
ECML/PKDD (7)
Ruiqi Xue, Ziqian Zhang, Lihe Li, Feng Chen, Yi-Chen Li, Yang Yu, Lei Yuan
2024 A* conf
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate.
NeurIPS
Fan-Ming Luo, Zuolin Tu, Zefang Huang, Yang Yu
2024 J jnl
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate.
CoRR
Fan-Ming Luo, Zuolin Tu, Zefang Huang, Yang Yu
2024 J jnl
Empowering Language Models with Active Inquiry for Deeper Understanding.
CoRR
Jing-Cheng Pang, Heng-Bo Fan, Pengyuan Wang, Jiahao Xiao, Nan Tang, Si-Hang Yang, Chengxing Jia, Sheng-Jun Huang, Yang Yu
2024 A* conf
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning.
ICML
Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Ruifeng Chen, Zhilong Zhang, Xinwei Chen, Yang Yu
2024 J jnl
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning.
CoRR
Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Ruifeng Chen, Zhilong Zhang, Xinwei Chen, Yang Yu
2024 A* conf
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward.
AAAI
Haoxin Lin, Hongqiu Wu, Jiaji Zhang, Yihao Sun, Junyin Ye, Yang Yu
2024 A* conf
Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation.
ICLR
Zhilong Zhang, Yihao Sun, Junyin Ye, Tian-Shuo Liu, Jiaji Zhang, Yang Yu
2024 A* conf
Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning.
AAAI
Chao Chen, Jiacheng Xu, Weijian Liao, Hao Ding, Zongzhang Zhang, Yang Yu, Rui Zhao
2024 A conf
Foresight Distribution Adjustment for Off-policy Reinforcement Learning.
AAMAS
Ruifeng Chen, Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Feng Xu, Yang Yu
2024 A* conf
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations.
AAAI
Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu
2024 J jnl
Hindsight Preference Learning for Offline Preference-based Reinforcement Learning.
CoRR
Chen-Xiao Gao, Shengjun Fang, Chenjun Xiao, Yang Yu, Zongzhang Zhang
2024 J jnl
Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models.
CoRR
Fuxiang Zhang, Junyou Li, Yi-Chen Li, Zongzhang Zhang, Yang Yu, Deheng Ye
2024 A* conf
KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts.
NeurIPS
Jing-Cheng Pang, Si-Hang Yang, Kaiyuan Li, Jiaji Zhang, Xiong-Hui Chen, Nan Tang, Yang Yu
2024 J jnl
Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts.
CoRR
Jing-Cheng Pang, Si-Hang Yang, Kaiyuan Li, Jiaji Zhang, Xiong-Hui Chen, Nan Tang, Yang Yu
2024 A* conf
Language Model Self-improvement by Reinforcement Learning Contemplation.
ICLR
Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu
2024 A* conf
Limited Preference Aided Imitation Learning from Imperfect Demonstrations.
ICML
Xingchen Cao, Fan-Ming Luo, Junyin Ye, Tian Xu, Zhilong Zhang, Yang Yu
2024 J jnl
MixLight: Mixed-Agent Cooperative Reinforcement Learning for Traffic Light Control.
IEEE Trans. Ind. Informatics
Ming Yang, Yiming Wang, Yang Yu, Mingliang Zhou, Leong Hou U
2024 J jnl
Model gradient: unified model and policy learning in model-based reinforcement learning.
Frontiers Comput. Sci.
Chengxing Jia, Fuxiang Zhang, Tian Xu, Jing-Cheng Pang, Zongzhang Zhang, Yang Yu
2024 A* conf
Multi-Agent Domain Calibration with a Handful of Offline Data.
NeurIPS
Tao Jiang, Lei Yuan, Lihe Li, Cong Guan, Zongzhang Zhang, Yang Yu
2024 J jnl
Multi-agent policy transfer via task relationship modeling.
Sci. China Inf. Sci.
Rongjun Qin, Feng Chen, Tonghan Wang, Lei Yuan, Xiaoran Wu, Yipeng Kang, Zongzhang Zhang, Chongjie Zhang, Yang Yu
2024 A* conf
Offline Transition Modeling via Contrastive Energy Learning.
ICML
Ruifeng Chen, Chengxing Jia, Zefang Huang, Tian-Shuo Liu, Xu-Hui Liu, Yang Yu
2024 J jnl
One by One, Continual Coordinating with Humans via Hyper-Teammate Identification.
Trans. Mach. Learn. Res.
Cong Guan, Feng Chen, Ke Xue, Chunpeng Fan, Lichao Zhang, Ziqian Zhang, Pengyao Zhao, Zongzhang Zhang, Chao Qian, Lei Yuan, Yang Yu
2024 A* conf
Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting.
NeurIPS
Xiong-Hui Chen, Ziyan Wang, Yali Du, Shengyi Jiang, Meng Fang, Yang Yu, Jun Wang
2024 A* conf
Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning.
ICLR
Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu
2024 A* conf
Policy-conditioned Environment Models are More Generalizable.
ICML
Ruifeng Chen, Xiong-Hui Chen, Yihao Sun, Siyuan Xiao, Minhui Li, Yang Yu
2024 J jnl
Q-Adapter: Training Your LLM Adapter as a Residual Q-Function.
CoRR
Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu
2024 A* conf
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models.
ICML
Ziniu Li, Tian Xu, Yushun Zhang, Zhihang Lin, Yang Yu, Ruoyu Sun, Zhi-Quan Luo
2024 J jnl
Revisiting of AlphaStar.
IEEE Trans. Games
Ruo-Ze Liu, Yanjie Shen, Yang Yu, Tong Lu
2024 A* conf
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning.
ICLR
Fan-Ming Luo, Tian Xu, Xingchen Cao, Yang Yu
2024 J jnl
Robust cooperative multi-agent reinforcement learning via multi-view message certification.
Sci. China Inf. Sci.
Lei Yuan, Tao Jiang, Lihe Li, Feng Chen, Zongzhang Zhang, Yang Yu
2024 J jnl
Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay.
CoRR
Feng Chen, Fuguang Han, Cong Guan, Lei Yuan, Zhilong Zhang, Yang Yu, Zongzhang Zhang
2024 J jnl
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems.
ACM Trans. Inf. Syst.
Zhengbang Zhu, Rongjun Qin, Junjie Huang, Xinyi Dai, Yang Yu, Yong Yu, Weinan Zhang
2024 J jnl
WHALE: Towards Generalizable and Scalable World Models for Embodied Decision-making.
CoRR
Zhilong Zhang, Ruifeng Chen, Junyin Ye, Yihao Sun, Pengyuan Wang, Jingcheng Pang, Kaiyuan Li, Tianshuo Liu, Haoxin Lin, Yang Yu, Zhi-Hua Zhou
2024 — conf
When is RL better than DPO in RLHF? A Representation and Optimization Perspective.
Tiny Papers @ ICLR
Ziniu Li, Tian Xu, Yang Yu
2023 J jnl
A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment.
CoRR
Lei Yuan, Ziqian Zhang, Lihe Li, Cong Guan, Yang Yu
2023 J jnl
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning.
CoRR
Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu
2023 A* conf
Adversarial Counterfactual Environment Model Learning.
NeurIPS
Xiong-Hui Chen, Yang Yu, Zhengmao Zhu, Zhihua Yu, Zhenjun Chen, Chenghe Wang, Yinan Wu, Rong-Jun Qin, Hongqiu Wu, Ruijin Ding, Fangsheng Huang
2023 J jnl
AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online.
IEEE Trans. Knowl. Data Eng.
Guangda Huzhang, Zhen-Jia Pang, Yongqing Gao, Yawen Liu, Weijie Shen, Wen-Ji Zhou, Qianying Lin, Qing Da, Anxiang Zeng, Han Yu, Yang Yu, Zhi-Hua Zhou
2023 A* conf
Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract).
AAAI
Aoran Wang, Hongyang Yang, Feng Mao, Zongzhang Zhang, Yang Yu, Xiaoyang Liu
2023 J jnl
Beware of Instantaneous Dependence in Reinforcement Learning.
CoRR
Zheng-Mao Zhu, Yu-Ren Liu, Hong-Long Tian, Yang Yu, Kun Zhang
2023 J jnl
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation.
CoRR
Lei Yuan, Feng Chen, Zongzhang Zhang, Yang Yu
2023 A* conf
Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract).
AAAI
Chao Chen, Dawei Wang, Feng Mao, Zongzhang Zhang, Yang Yu
2023 A conf
Degradation-Resistant Offline Optimization via Accumulative Risk Control.
ECAI
Huakang Lu, Hong Qian, Yupeng Wu, Ziqi Liu, Ya-Lin Zhang, Aimin Zhou, Yang Yu
2023 A* conf
Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data.
ICLR
Fuxiang Zhang, Chengxing Jia, Yi-Chen Li, Lei Yuan, Yang Yu, Zongzhang Zhang
2023 J jnl
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning.
CoRR
Cong Guan, Feng Chen, Lei Yuan, Zongzhang Zhang, Yang Yu
2023 J jnl
Efficient Human-AI Coordination via Preparatory Language-based Convention.
CoRR
Cong Guan, Lichao Zhang, Chunpeng Fan, Yichen Li, Feng Chen, Lihe Li, Yunjia Tian, Lei Yuan, Yang Yu
2023 J jnl
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-Trajectory Reward.
CoRR
Haoxin Lin, Hongqiu Wu, Jiaji Zhang, Yihao Sun, Junyin Ye, Yang Yu
2023 A conf
Fast Teammate Adaptation in the Presence of Sudden Policy Change.
UAI
Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu
2023 J jnl
Fast Teammate Adaptation in the Presence of Sudden Policy Change.
CoRR
Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu
2023 J jnl
Fully Decentralized Multiagent Communication via Causal Inference.
IEEE Trans. Neural Networks Learn. Syst.
Han Wang, Yang Yu, Yuan Jiang
2023 J jnl
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations.
CoRR
Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu
2023 A conf
How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement.
AAMAS
Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu
2023 J jnl
How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement.
CoRR
Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu
2023 A* conf
Imitation Learning from Imperfection: Theoretical Justifications and Algorithms.
NeurIPS
Ziniu Li, Tian Xu, Zeyu Qin, Yang Yu, Zhi-Quan Luo
2023 J jnl
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments.
CoRR
Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Anqi Huang, Kai Xu, Zongzhang Zhang, Yang Yu
2023 A* conf
Internal Logical Induction for Pixel-Symbolic Reinforcement Learning.
KDD
Jiacheng Xu, Chao Chen, Fuxiang Zhang, Lei Yuan, Zongzhang Zhang, Yang Yu
2023 J jnl
Language Model Self-improvement by Reinforcement Learning Contemplation.
CoRR
Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu
2023 A* conf
Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract).
AAAI
Yi-Chen Li, Wen-Jie Shen, Boyu Zhang, Feng Mao, Zongzhang Zhang, Yang Yu
2023 J jnl
Learning Physically Realizable Skills for Online Packing of General 3D Shapes.
ACM Trans. Graph.
Hang Zhao, Zherong Pan, Yang Yu, Kai Xu
2023 A* conf
Learning World Models with Identifiable Factorization.
NeurIPS
Yuren Liu, Biwei Huang, Zhengmao Zhu, Hong-Long Tian, Mingming Gong, Yang Yu, Kun Zhang
2023 J jnl
Learning World Models with Identifiable Factorization.
CoRR
Yu-Ren Liu, Biwei Huang, Zheng-Mao Zhu, Hong-Long Tian, Mingming Gong, Yang Yu, Kun Zhang
2023 — conf
Learning to Coordinate with Anyone.
DAI
Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu, Zhi-Hua Zhou
2023 J jnl
Learning to Coordinate with Anyone.
CoRR
Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu, Zhi-Hua Zhou
2023 J jnl
Memory-efficient Transformer-based network model for Traveling Salesman Problem.
Neural Networks
Hua Yang, Minghao Zhao, Lei Yuan, Yang Yu, Zhenhua Li, Ming Gu
2023 A* conf
Model-Based Offline Weighted Policy Optimization (Student Abstract).
AAAI
Renzhe Zhou, Zongzhang Zhang, Yang Yu
2023 A conf
Model-Based Reinforcement Learning with Multi-Step Plan Value Estimation.
ECAI
Haoxin Lin, Yihao Sun, Jiaji Zhang, Yang Yu
2023 A* conf
Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning.
ICML
Yihao Sun, Jiaji Zhang, Chengxing Jia, Haoxin Lin, Junyin Ye, Yang Yu
2023 J jnl
Multi-agent Continual Coordination via Progressive Task Contextualization.
CoRR
Lei Yuan, Lihe Li, Ziqian Zhang, Fuxiang Zhang, Cong Guan, Yang Yu
2023 A* conf
Natural Language Instruction-following with Task-related Language Development and Translation.
NeurIPS
Jing-Cheng Pang, Xinyu Yang, Si-Hang Yang, Xiong-Hui Chen, Yang Yu
2023 J jnl
Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation.
CoRR
Jing-Cheng Pang, Xinyu Yang, Si-Hang Yang, Yang Yu
2023 A conf
Object-Oriented Option Framework for Robotics Manipulation in Clutter.
IROS
Jing-Cheng Pang, Si-Hang Yang, Xiong-Hui Chen, Xinyu Yang, Yang Yu, Mas Ma, Ziqi Guo, Howard Yang, Bill Huang
2023 J jnl
Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiong-Hui Chen, Fan-Ming Luo, Yang Yu, Qingyang Li, Zhiwei Qin, Wenjie Shang, Jieping Ye
2023 J jnl
Policy Optimization in RLHF: The Impact of Out-of-preference Data.
CoRR
Ziniu Li, Tian Xu, Yang Yu
2023 A* conf
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning.
ICML
Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu
2023 J jnl
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning.
CoRR
Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu
2023 A* conf
Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning.
AAAI
Weijian Liao, Zongzhang Zhang, Yang Yu
2023 A conf
Provably Efficient Adversarial Imitation Learning with Unknown Transitions.
UAI
Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo
2023 J jnl
Provably Efficient Adversarial Imitation Learning with Unknown Transitions.
CoRR
Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo
2023 J jnl
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models.
CoRR
Ziniu Li, Tian Xu, Yushun Zhang, Yang Yu, Ruoyu Sun, Zhi-Quan Luo
2023 J jnl
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning.
CoRR
Fan-Ming Luo, Tian Xu, Xingchen Cao, Yang Yu
2023 A* conf
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers.
AAAI
Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu
2023 J jnl
Robust Multi-agent Communication via Multi-view Message Certification.
CoRR
Lei Yuan, Tao Jiang, Lihe Li, Feng Chen, Zongzhang Zhang, Yang Yu
2023 J jnl
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers.
CoRR
Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu
2023 A conf
Self-Motivated Multi-Agent Exploration.
AAMAS
Shaowei Zhang, Jiahan Cao, Lei Yuan, Yang Yu, De-Chuan Zhan
2023 J jnl
Self-Motivated Multi-Agent Exploration.
CoRR
Shaowei Zhang, Jiahan Cao, Lei Yuan, Yang Yu, De-Chuan Zhan
2023 A* conf
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems.
ICDE
Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma
2023 J jnl
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems.
CoRR
Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma
2023 J jnl
Theoretical Analysis of Offline Imitation With Supplementary Dataset.
CoRR
Ziniu Li, Tian Xu, Yang Yu, Zhi-Quan Luo
2023 A* conf
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense.
AAAI
Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang
2022 J jnl
A Lightweight Encoder-Decoder Path for Deep Residual Networks.
IEEE Trans. Neural Networks Learn. Syst.
Xin Jin, Yanping Xie, Xiu-Shen Wei, Borui Zhao, Yongshun Zhang, Xiaoyang Tan, Yang Yu
2022 J jnl
A Note on Target Q-learning For Solving Finite MDPs with A Generative Oracle.
CoRR
Ziniu Li, Tian Xu, Yang Yu
2022 — conf
A Searchable Re-encryption-based Scheme for Massive Data Transactions.
CSCloud/EdgeCom
Yang Yu, Rui Jin, Hao Yin, Keke Gai, Zijian Zhang
2022 J jnl
A Survey on Model-based Reinforcement Learning.
CoRR
Fan-Ming Luo, Tian Xu, Hang Lai, Xiong-Hui Chen, Weinan Zhang, Yang Yu
2022 A* conf
Active Hierarchical Exploration with Stable Subgoal Representation Learning.
ICLR
Siyuan Li, Jin Zhang, Jianhao Wang, Yang Yu, Chongjie Zhang
2022 A* conf
Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy.
AAAI
Fan-Ming Luo, Shengyi Jiang, Yang Yu, Zongzhang Zhang, Yi-Feng Zhang
2022 — ed.
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part I
PAKDD (1)
João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng
2022 — ed.
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II
PAKDD (2)
João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng
2022 — ed.
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part III
PAKDD (3)
João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng
2022 J jnl
Adversarial Counterfactual Environment Model Learning.
CoRR
Xiong-Hui Chen, Yang Yu, Zheng-Mao Zhu, Zhihua Yu, Zhenjun Chen, Chenghe Wang, Yinan Wu, Hongqiu Wu, Rong-Jun Qin, Ruijin Ding, Fangsheng Huang
2022 A* conf
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning.
NeurIPS
Chenyang Wu, Tianci Li, Zongzhang Zhang, Yang Yu
2022 J jnl
Cascaded Algorithm Selection With Extreme-Region UCB Bandit.
IEEE Trans. Pattern Anal. Mach. Intell.
Yi-Qi Hu, Xu-Hui Liu, Shu-Qiao Li, Yang Yu
2022 A* conf
Context-Aware Sparse Deep Coordination Graphs.
ICLR
Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang
2022 A* conf
Efficient Multi-Agent Communication via Shapley Message Value.
IJCAI
Di Xue, Lei Yuan, Zongzhang Zhang, Yang Yu
2022 A* conf
Efficient Multi-agent Communication via Self-supervised Information Aggregation.
NeurIPS
Cong Guan, Feng Chen, Lei Yuan, Chenghe Wang, Hao Yin, Zongzhang Zhang, Yang Yu
2022 J jnl
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning.
IEEE Trans. Games
Ruo-Ze Liu, Haifeng Guo, Xiaozhong Ji, Yang Yu, Zhen-Jia Pang, Zitai Xiao, Yuzhou Wu, Tong Lu
2022 J jnl
Error Bounds of Imitating Policies and Environments for Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Tian Xu, Ziniu Li, Yang Yu
2022 J jnl
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution.
CoRR
Ke Xue, Yutong Wang, Lei Yuan, Cong Guan, Chao Qian, Yang Yu
2022 J jnl
Hybrid Value Estimation for Off-policy Evaluation and Offline Reinforcement Learning.
CoRR
Xue-Kun Jin, Xu-Hui Liu, Shengyi Jiang, Yang Yu
2022 J jnl
Improve generated adversarial imitation learning with reward variance regularization.
Mach. Learn.
Yi-Feng Zhang, Fan-Ming Luo, Yang Yu
2022 A* conf
Invariant Action Effect Model for Reinforcement Learning.
AAAI
Zheng-Mao Zhu, Shengyi Jiang, Yu-Ren Liu, Yang Yu, Kun Zhang
2022 A* conf
Learning Efficient Online 3D Bin Packing on Packing Configuration Trees.
ICLR
Hang Zhao, Yang Yu, Kai Xu
2022 J jnl
Learning Physically Realizable Skills for Online Packing of General 3D Shapes.
CoRR
Hang Zhao, Zherong Pan, Yang Yu, Kai Xu
2022 J jnl
Model-based Reinforcement Learning with Multi-step Plan Value Estimation.
CoRR
Haoxin Lin, Yihao Sun, Jiaji Zhang, Yang Yu
2022 A* conf
Multi-Agent Concentrative Coordination with Decentralized Task Representation.
IJCAI
Lei Yuan, Chenghe Wang, Jianhao Wang, Fuxiang Zhang, Feng Chen, Cong Guan, Zongzhang Zhang, Chongjie Zhang, Yang Yu
2022 A* conf
Multi-Agent Incentive Communication via Decentralized Teammate Modeling.
AAAI
Lei Yuan, Jianhao Wang, Fuxiang Zhang, Chenghe Wang, Zongzhang Zhang, Yang Yu, Chongjie Zhang
2022 J jnl
Multi-Agent Policy Transfer via Task Relationship Modeling.
CoRR
Rongjun Qin, Feng Chen, Tonghan Wang, Lei Yuan, Xiaoran Wu, Zongzhang Zhang, Chongjie Zhang, Yang Yu
2022 A* conf
Multi-agent Dynamic Algorithm Configuration.
NeurIPS
Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu
2022 J jnl
Multi-agent Dynamic Algorithm Configuration.
CoRR
Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu
2022 J jnl
Multi-view 2D-3D alignment with hybrid bundle adjustment for visual metrology.
Vis. Comput.
Yang Yu, Chengjie Niu, Jun Li, Kai Xu
2022 A* conf
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning.
NeurIPS
Rongjun Qin, Xingyuan Zhang, Songyi Gao, Xiong-Hui Chen, Zewen Li, Weinan Zhang, Yang Yu
2022 J jnl
Offline Reinforcement Learning with Causal Structured World Models.
CoRR
Zheng-Mao Zhu, Xiong-Hui Chen, Hong-Long Tian, Kun Zhang, Yang Yu
2022 J jnl
On Efficient Reinforcement Learning for Full-length Game of StarCraft II.
CoRR
Ruo-Ze Liu, Zhen-Jia Pang, Zhou-Yu Meng, Wenhai Wang, Yang Yu, Tong Lu
2022 J jnl
On Efficient Reinforcement Learning for Full-length Game of StarCraft II.
J. Artif. Intell. Res.
Ruo-Ze Liu, Zhen-Jia Pang, Zhou-Yu Meng, Wenhai Wang, Yang Yu, Tong Lu
2022 J jnl
Rethinking ValueDice: Does It Really Improve Performance?
CoRR
Ziniu Li, Tian Xu, Yang Yu, Zhi-Quan Luo
2022 A* conf
The Teaching Dimension of Regularized Kernel Learners.
ICML
Hong Qian, Xu-Hui Liu, Chen-Xi Su, Aimin Zhou, Yang Yu
2022 J jnl
Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble.
CoRR
Fan-Ming Luo, Xingchen Cao, Yang Yu
2022 J jnl
Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis.
CoRR
Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo
2022 J jnl
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems.
CoRR
Zhengbang Zhu, Rongjun Qin, Junjie Huang, Xinyi Dai, Yang Yu, Yong Yu, Weinan Zhang
2022 J jnl
Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games.
CoRR
Rong-Jun Qin, Fan-Ming Luo, Hong Qian, Yang Yu
2022 J jnl
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense.
CoRR
Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang
2022 J jnl
ZOOpt: a toolbox for derivative-free optimization.
Sci. China Inf. Sci.
Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Chao Qian, Yang Yu
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 J jnl
An Introduction of mini-AlphaStar.
CoRR
Ruo-Ze Liu, Wenhai Wang, Yanjie Shen, Zhiqi Li, Yang Yu, Tong Lu
2021 J jnl
Analysis of Noisy Evolutionary Optimization When Sampling Fails.
Algorithmica
Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao
2021 J jnl
Context-Aware Sparse Deep Coordination Graphs.
CoRR
Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang
2021 A* conf
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning.
NeurIPS
Xiong-Hui Chen, Shengyi Jiang, Feng Xu, Zongzhang Zhang, Yang Yu
2021 J jnl
Derivative-Free Reinforcement Learning: A Review.
CoRR
Hong Qian, Yang Yu
2021 A* conf
Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract).
AAAI
Feng Xu, Shengyi Jiang, Hao Yin, Zongzhang Zhang, Yang Yu, Ming Li, Dong Li, Wulong Liu
2021 A* conf
Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints.
IJCAI
Chao Bian, Chao Qian, Frank Neumann, Yang Yu
2021 J jnl
Guest Editorial: Automated Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Hugo Jair Escalante, Quanming Yao, Wei-Wei Tu, Nelishia Pillay, Rong Qu, Yang Yu, Neil Houlsby
2021 J jnl
Imitate TheWorld: A Search Engine Simulation Platform.
CoRR
Yongqing Gao, Guangda Huzhang, Weijie Shen, Yawen Liu, Wen-Ji Zhou, Qing Da, Dan Shen, Yang Yu
2021 J jnl
Improving Search Engine Efficiency through Contextual Factor Selection.
AI Mag.
Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Yang Yu, Jingren Zhou, Chunyan Miao
2021 A* conf
LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract).
AAAI
Chenyang Wu, Rui Kong, Guoyu Yang, Xianghan Kong, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu
2021 J jnl
LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates.
CoRR
Jiahan Cao, Lei Yuan, Jianhao Wang, Shaowei Zhang, Chongjie Zhang, Yang Yu, De-Chuan Zhan
2021 J jnl
Machine learning steered symbolic execution framework for complex software code.
Formal Aspects Comput.
Lei Bu, Yongjuan Liang, Zhunyi Xie, Hong Qian, Yi-Qi Hu, Yang Yu, Xin Chen, Xuandong Li
2021 J jnl
Nearly Minimax Optimal Adversarial Imitation Learning with Known and Unknown Transitions.
CoRR
Tian Xu, Ziniu Li, Yang Yu
2021 J jnl
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning.
CoRR
Rongjun Qin, Songyi Gao, Xingyuan Zhang, Zhen Xu, Shengkai Huang, Zewen Li, Weinan Zhang, Yang Yu
2021 J jnl
Neural-to-Tree Policy Distillation with Policy Improvement Criterion.
CoRR
Zhao-Hua Li, Yang Yu, Yingfeng Chen, Ke Chen, Zhipeng Hu, Changjie Fan
2021 A* conf
Offline Model-based Adaptable Policy Learning.
NeurIPS
Xiong-Hui Chen, Yang Yu, Qingyang Li, Fan-Ming Luo, Zhiwei (Tony) Qin, Wenjie Shang, Jieping Ye
2021 J jnl
On the robustness of median sampling in noisy evolutionary optimization.
Sci. China Inf. Sci.
Chao Bian, Chao Qian, Yang Yu, Ke Tang
2021 J jnl
Online Allocation with Two-sided Resource Constraints.
CoRR
Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yang Yu
2021 J jnl
Partially observable environment estimation with uplift inference for reinforcement learning based recommendation.
Mach. Learn.
Wenjie Shang, Qingyang Li, Zhiwei (Tony) Qin, Yang Yu, Yiping Meng, Jieping Ye
2021 A* conf
QPLEX: Duplex Dueling Multi-Agent Q-Learning.
ICLR
Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu, Chongjie Zhang
2021 A* conf
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning.
NeurIPS
Xu-Hui Liu, Zhenghai Xue, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu
2021 J jnl
Regret Minimization Experience Replay.
CoRR
Zhenghai Xue, Xu-Hui Liu, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu
2021 B conf
Sequential and Dynamic constraint Contrastive Learning for Reinforcement Learning.
IJCNN
Weijie Shen, Lei Yuan, Junfu Huang, Songyi Gao, Yuyang Huang, Yang Yu
2021 J jnl
Sparsity Prior Regularized Q-learning for Sparse Action Tasks.
CoRR
Jing-Cheng Pang, Tian Xu, Shengyi Jiang, Yu-Ren Liu, Yang Yu
2020 J jnl
A technical view on neural architecture search.
Int. J. Mach. Learn. Cybern.
Yi-Qi Hu, Yang Yu
2020 A* conf
An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints.
AAAI
Chao Bian, Chao Feng, Chao Qian, Yang Yu
2020 A conf
Derivative-Free Optimization with Adaptive Experience for Efficient Hyper-Parameter Tuning.
ECAI
Yi-Qi Hu, Zelin Liu, Hua Yang, Yang Yu, Yunfeng Liu
2020 — ed.
Distributed Artificial Intelligence - Second International Conference, DAI 2020, Nanjing, China, October 24-27, 2020, Proceedings
DAI
Matthew E. Taylor, Yang Yu, Edith Elkind, Yang Gao
2020 A* conf
Error Bounds of Imitating Policies and Environments.
NeurIPS
Tian Xu, Ziniu Li, Yang Yu
2020 J jnl
Error Bounds of Imitating Policies and Environments.
CoRR
Tian Xu, Ziniu Li, Yang Yu
2020 J jnl
Novelty-Prepared Few-Shot Classification.
CoRR
Chao Wang, Ruo-Ze Liu, Han-Jia Ye, Yang Yu
2020 A* conf
Offline Imitation Learning with a Misspecified Simulator.
NeurIPS
Shengyi Jiang, Jing-Cheng Pang, Yang Yu
2020 J jnl
QPLEX: Duplex Dueling Multi-Agent Q-Learning.
CoRR
Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu, Chongjie Zhang
2020 C conf
Reinforcement Learning with Action-Specific Focuses in Video Games.
CoG
Meng Wang, Yingfeng Chen, Tangjie Lv, Yan Song, Kai Guan, Changjie Fan, Yang Yu
2020 J jnl
Running time analysis of the (1+1)-EA for robust linear optimization.
Theor. Comput. Sci.
Chao Bian, Chao Qian, Ke Tang, Yang Yu
2020 J jnl
Temporal-adaptive Hierarchical Reinforcement Learning.
CoRR
Wen-Ji Zhou, Yang Yu
2020 J jnl
Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce.
CoRR
Guangda Huzhang, Zhen-Jia Pang, Yongqing Gao, Wen-Ji Zhou, Qing Da, Anxiang Zeng, Yang Yu
2020 J jnl
Weakly Supervised Part-wise 3D Shape Reconstruction from Single-View RGB Images.
Comput. Graph. Forum
Chengjie Niu, Yang Yu, Zhenwei Bian, Jun Li, Kai Xu
2019 — conf
Asynchronous classification-based optimization.
DAI
Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu
2019 A* conf
Bridging Machine Learning and Logical Reasoning by Abductive Learning.
NeurIPS
Wang-Zhou Dai, Qiu-Ling Xu, Yang Yu, Zhi-Hua Zhou
2019 A* conf
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit.
IJCAI
Yi-Qi Hu, Yang Yu, Jun-Da Liao
2019 J jnl
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit.
CoRR
Yi-Qi Hu, Yang Yu, Jun-Da Liao
2019 J jnl
Efficient Reinforcement Learning with a Mind-Game for Full-Length StarCraft II.
CoRR
Ruo-Ze Liu, Haifeng Guo, Xiaozhong Ji, Yang Yu, Zitai Xiao, Yuzhou Wu, Zhen-Jia Pang, Tong Lu
2019 A* conf
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation.
KDD
Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei (Tony) Qin, Yiping Meng, Jieping Ye
2019 J jnl
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation.
CoRR
Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei (Tony) Qin, Yiping Meng, Jieping Ye
2019 — book
Evolutionary Learning: Advances in Theories and Algorithms
Zhi-Hua Zhou, Yang Yu, Chao Qian
2019 J jnl
Improving Fictitious Play Reinforcement Learning with Expanding Models.
CoRR
Rong-Jun Qin, Jing-Cheng Pang, Yang Yu
2019 J jnl
Learning Action-Transferable Policy with Action Embedding.
CoRR
Yu Chen, Yingfeng Chen, Yang Yu, Ying Li, Jianwei Yin, Changjie Fan
2019 J jnl
Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms.
Artif. Intell.
Chao Qian, Yang Yu, Ke Tang, Xin Yao, Zhi-Hua Zhou
2019 A* conf
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion.
AAAI
Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai
2019 A* conf
On Reinforcement Learning for Full-Length Game of StarCraft.
AAAI
Zhen-Jia Pang, Ruo-Ze Liu, Zhou-Yu Meng, Yi Zhang, Yang Yu, Tong Lu
2019 J jnl
On Value Discrepancy of Imitation Learning.
CoRR
Tian Xu, Ziniu Li, Yang Yu
2019 J jnl
On the Robustness of Median Sampling in Noisy Evolutionary Optimization.
CoRR
Chao Bian, Chao Qian, Yang Yu
2019 — conf
Only Image Cosine Embedding for Few-Shot Learning.
ICONIP (2)
Songyi Gao, Weijie Shen, Zelin Liu, An Zhu, Yang Yu
2019 A* conf
Reinforcement Learning Experience Reuse with Policy Residual Representation.
IJCAI
Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou
2019 J jnl
Reinforcement Learning Experience Reuse with Policy Residual Representation.
CoRR
Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou
2019 A conf
Reinforcement Learning with Derivative-Free Exploration.
AAMAS
Xiong-Hui Chen, Yang Yu
2019 J jnl
Towards AutoML in the presence of Drift: first results.
CoRR
Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales, Wei-Wei Tu, Yang Yu, Lisheng Sun-Hosoya, Isabelle Guyon, Michèle Sebag
2019 A* conf
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning.
AAAI
Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, Anxiang Zeng
2018 J jnl
Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection.
CoRR
Yusen Zhan, Qing Da, Fei Xiao, Anxiang Zeng, Yang Yu
2018 — conf
An Alternating Minimization Approach to Optimizing Subarray Configuration for a Large Phased Array.
SAM
Wenqiang Pu, Yang Yu, Shuhua Yu, Zhi-Quan Luo
2018 J jnl
Analysis of Noisy Evolutionary Optimization When Sampling Fails.
CoRR
Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao
2018 A conf
Analysis of noisy evolutionary optimization when sampling fails.
GECCO
Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao
2018 J jnl
Analyzing Evolutionary Optimization in Noisy Environments.
Evol. Comput.
Chao Qian, Yang Yu, Zhi-Hua Zhou
2018 A* conf
Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection.
IJCAI
Chao Qian, Yang Yu, Ke Tang
2018 A* conf
Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search.
IJCAI
Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou
2018 A* conf
Learning Environmental Calibration Actions for Policy Self-Evolution.
IJCAI
Chao Zhang, Yang Yu, Zhi-Hua Zhou
2018 A* conf
Mixture of GANs for Clustering.
IJCAI
Yang Yu, Wen-Ji Zhou
2018 A* conf
Multi-Layered Gradient Boosting Decision Trees.
NeurIPS
Ji Feng, Yang Yu, Zhi-Hua Zhou
2018 J jnl
Multi-Layered Gradient Boosting Decision Trees.
CoRR
Ji Feng, Yang Yu, Zhi-Hua Zhou
2018 A* conf
Noisy Derivative-Free Optimization With Value Suppression.
AAAI
Hong Wang, Hong Qian, Yang Yu
2018 J jnl
On Reinforcement Learning for Full-length Game of StarCraft.
CoRR
Zhen-Jia Pang, Ruo-Ze Liu, Zhou-Yu Meng, Yi Zhang, Yang Yu, Tong Lu
2018 J jnl
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments.
Evol. Comput.
Chao Qian, Yang Yu, Ke Tang, Yaochu Jin, Xin Yao, Zhi-Hua Zhou
2018 A* conf
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application.
KDD
Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu
2018 J jnl
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application.
CoRR
Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu
2018 J jnl
Reusable Reinforcement Learning via Shallow Trails.
IEEE Trans. Neural Networks Learn. Syst.
Yang Yu, Shi-Yong Chen, Qing Da, Zhi-Hua Zhou
2018 A* conf
Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation.
KDD
Shi-Yong Chen, Yang Yu, Qing Da, Jun Tan, Hai-Kuan Huang, Hai-Hong Tang
2018 J jnl
Taking Human out of Learning Applications: A Survey on Automated Machine Learning.
CoRR
Quanming Yao, Mengshuo Wang, Hugo Jair Escalante, Isabelle Guyon, Yi-Qi Hu, Yufeng Li, Wei-Wei Tu, Qiang Yang, Yang Yu
2018 A* conf
Towards Sample Efficient Reinforcement Learning.
IJCAI
Yang Yu
2018 J jnl
Tunneling Neural Perception and Logic Reasoning through Abductive Learning.
CoRR
Wang-Zhou Dai, Qiu-Ling Xu, Yang Yu, Zhi-Hua Zhou
2018 J jnl
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning.
CoRR
Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, Anxiang Zeng
2018 J jnl
ZOOpt/ZOOjl: Toolbox for Derivative-Free Optimization.
CoRR
Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu, Chao Qian
2017 A* conf
AGRA: An Analysis-Generation-Ranking Framework for Automatic Abbreviation from Paper Titles.
IJCAI
Jianbing Zhang, Yixin Sun, Shujian Huang, Cam-Tu Nguyen, Xiaoliang Wang, Xinyu Dai, Jiajun Chen, Yang Yu
2017 A* conf
Binary Linear Compression for Multi-label Classification.
IJCAI
Wen-Ji Zhou, Yang Yu, Min-Ling Zhang
2017 B conf
Evolutionary multi-objective optimization made faster by sequential decomposition.
CEC
Jing-Cheng Shi, Chao Qian, Yang Yu
2017 A* conf
Life-Stage Modeling by Customer-Manifold Embedding.
IJCAI
Jing-Wen Yang, Yang Yu, Xiao-Peng Zhang
2017 J jnl
Maximizing Non-monotone/Non-submodular Functions by Multi-objective Evolutionary Algorithms.
CoRR
Chao Qian, Yang Yu, Ke Tang, Xin Yao, Zhi-Hua Zhou
2017 A* conf
On Subset Selection with General Cost Constraints.
IJCAI
Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang
2017 A* conf
Open Category Classification by Adversarial Sample Generation.
IJCAI
Yang Yu, Wei-Yang Qu, Nan Li, Zimin Guo
2017 J jnl
Open-Category Classification by Adversarial Sample Generation.
CoRR
Yang Yu, Wei-Yang Qu, Nan Li, Zimin Guo
2017 A* conf
Optimizing Ratio of Monotone Set Functions.
IJCAI
Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou
2017 A* conf
Sequential Classification-Based Optimization for Direct Policy Search.
AAAI
Yi-Qi Hu, Hong Qian, Yang Yu
2017 A* conf
Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions.
AAAI
Hong Qian, Yang Yu
2017 — conf
Subset Selection under Noise.
NIPS
Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou
2016 C conf
A Lower Bound Analysis of Population-Based Evolutionary Algorithms for Pseudo-Boolean Functions.
IDEAL
Chao Qian, Yang Yu, Zhi-Hua Zhou
2016 J jnl
A Lower Bound Analysis of Population-based Evolutionary Algorithms for Pseudo-Boolean Functions.
CoRR
Chao Qian, Yang Yu, Zhi-Hua Zhou
2016 — conf
A Multi-task Learning Approach by Combining Derivative-Free and Gradient Methods.
BIC-TA (1)
Yi-Qi Hu, Yang Yu
2016 A conf
Boosting Nonparametric Policies.
AAMAS
Yang Yu, Peng-Fei Hou, Qing Da, Yu Qian
2016 A* conf
Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings.
IJCAI
Hong Qian, Yi-Qi Hu, Yang Yu
2016 A* conf
Derivative-Free Optimization via Classification.
AAAI
Yang Yu, Hong Qian, Yi-Qi Hu
2016 B conf
Exploring Multi-action Relationship in Reinforcement Learning.
PRICAI
Han Wang, Yang Yu
2016 B conf
On sampling-and-classification optimization in discrete domains.
CEC
Hong Qian, Yang Yu
2016 A* conf
Parallel Pareto Optimization for Subset Selection.
IJCAI
Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou
2016 A* conf
Scaling Simultaneous Optimistic Optimization for High-Dimensional Non-Convex Functions with Low Effective Dimensions.
AAAI
Hong Qian, Yang Yu
2016 A* conf
Symbolic execution of complex program driven by machine learning based constraint solving.
ASE
Xin Li, Yongjuan Liang, Hong Qian, Yi-Qi Hu, Lei Bu, Yang Yu, Xin Chen, Xuandong Li
2015 J jnl
A two-layer surrogate-assisted particle swarm optimization algorithm.
Soft Comput.
Chaoli Sun, Yaochu Jin, Jianchao Zeng, Yang Yu
2015 A* conf
On Constrained Boolean Pareto Optimization.
IJCAI
Chao Qian, Yang Yu, Zhi-Hua Zhou
2015 A* conf
Pareto Ensemble Pruning.
AAAI
Chao Qian, Yang Yu, Zhi-Hua Zhou
2015 B conf
Running time analysis: Convergence-based analysis reduces to switch analysis.
CEC
Yang Yu, Chao Qian
2015 — conf
Subset Selection by Pareto Optimization.
NIPS
Chao Qian, Yang Yu, Zhi-Hua Zhou
2015 J jnl
Switch Analysis for Running Time Analysis of Evolutionary Algorithms.
IEEE Trans. Evol. Comput.
Yang Yu, Chao Qian, Zhi-Hua Zhou
2015 J jnl
Variable solution structure can be helpful in evolutionary optimization.
Sci. China Inf. Sci.
Chao Qian, Yang Yu, Zhi-Hua Zhou
2014 A* conf
Learning with Augmented Class by Exploiting Unlabeled Data.
AAAI
Qing Da, Yang Yu, Zhi-Hua Zhou
2014 A conf
Napping for functional representation of policy.
AAMAS
Qing Da, Yang Yu, Zhi-Hua Zhou
2014 A conf
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments.
PPSN
Chao Qian, Yang Yu, Yaochu Jin, Zhi-Hua Zhou
2014 J jnl
The Sampling-and-Learning Framework: A Statistical View of Evolutionary Algorithms.
CoRR
Yang Yu, Hong Qian
2014 B conf
The sampling-and-learning framework: A statistical view of evolutionary algorithms.
IEEE Congress on Evolutionary Computation
Yang Yu, Hong Qian
2013 J jnl
An analysis on recombination in multi-objective evolutionary optimization.
Artif. Intell.
Chao Qian, Yang Yu, Zhi-Hua Zhou
2013 J jnl
Analyzing Evolutionary Optimization in Noisy Environments.
CoRR
Chao Qian, Yang Yu, Zhi-Hua Zhou
2013 A* conf
On the Approximation Ability of Evolutionary Optimization with Application to Minimum Set Cover: Extended Abstract.
IJCAI
Yang Yu, Xin Yao, Zhi-Hua Zhou
2013 — conf
Self-Practice Imitation Learning from Weak Policy.
PSL
Qing Da, Yang Yu, Zhi-Hua Zhou
2012 — conf
Diversity Regularized Ensemble Pruning.
ECML/PKDD (1)
Nan Li, Yang Yu, Zhi-Hua Zhou
2012 A* conf
Multi-label hypothesis reuse.
KDD
Sheng-Jun Huang, Yang Yu, Zhi-Hua Zhou
2012 — conf
On Algorithm-Dependent Boundary Case Identification for Problem Classes.
PPSN (1)
Chao Qian, Yang Yu, Zhi-Hua Zhou
2012 J jnl
On the approximation ability of evolutionary optimization with application to minimum set cover.
Artif. Intell.
Yang Yu, Xin Yao, Zhi-Hua Zhou
2011 A conf
An analysis on recombination in multi-objective evolutionary optimization.
GECCO
Chao Qian, Yang Yu, Zhi-Hua Zhou
2011 — conf
Collisions are helpful for computing unique input-output sequences.
GECCO (Companion)
Chao Qian, Yang Yu, Zhi-Hua Zhou
2011 A* conf
Diversity Regularized Machine.
IJCAI
Yang Yu, Yufeng Li, Zhi-Hua Zhou
2011 — conf
Lifted-Rollout for Approximate Policy Iteration of Markov Decision Process.
ICDM Workshops
Wang-Zhou Dai, Yang Yu, Zhi-Hua Zhou
2011 J jnl
Towards Analyzing Crossover Operators in Evolutionary Search via General Markov Chain Switching Theorem
CoRR
Yang Yu, Chao Qian, Zhi-Hua Zhou
2010 J jnl
A framework for modeling positive class expansion with single snapshot.
Knowl. Inf. Syst.
Yang Yu, Zhi-Hua Zhou
2010 J jnl
Evolutionary Algorithms as Guaranteed Approximation Optimizers
CoRR
Yang Yu, Xin Yao, Zhi-Hua Zhou
2010 — conf
Towards Analyzing Recombination Operators in Evolutionary Search.
PPSN (1)
Yang Yu, Chao Qian, Zhi-Hua Zhou
2009 A* conf
Semi-naive Exploitation of One-Dependence Estimators.
ICDM
Nan Li, Yang Yu, Zhi-Hua Zhou
2008 B conf
A Framework for Modeling Positive Class Expansion with Single Snapshot.
PAKDD
Yang Yu, Zhi-Hua Zhou
2008 J jnl
A new approach to estimating the expected first hitting time of evolutionary algorithms.
Artif. Intell.
Yang Yu, Zhi-Hua Zhou
2008 B conf
On the usefulness of infeasible solutions in evolutionary search: A theoretical study.
IEEE Congress on Evolutionary Computation
Yang Yu, Zhi-Hua Zhou
2008 J jnl
Spectrum of Variable-Random Trees.
J. Artif. Intell. Res.
Fei Tony Liu, Kai Ming Ting, Yang Yu, Zhi-Hua Zhou
2008 A* conf
TEFE: A Time-Efficient Approach to Feature Extraction.
ICDM
Li-Ping Liu, Yang Yu, Yuan Jiang, Zhi-Hua Zhou
2007 A* conf
Cocktail Ensemble for Regression.
ICDM
Yang Yu, Zhi-Hua Zhou, Kai Ming Ting
2007 J jnl
Predicting Future Customers via Ensembling Gradually Expanded Trees.
Int. J. Data Warehous. Min.
Yang Yu, De-Chuan Zhan, Xu-Ying Liu, Ming Li, Zhi-Hua Zhou
2006 A* conf
A New Approach to Estimating the Expected First Hitting Time of Evolutionary Algorithms.
AAAI
Yang Yu, Zhi-Hua Zhou
2005 J jnl
Adapt Bagging to Nearest Neighbor Classifiers.
J. Comput. Sci. Technol.
Zhi-Hua Zhou, Yang Yu
2005 J jnl
Ensembling local learners ThroughMultimodal perturbation.
IEEE Trans. Syst. Man Cybern. Part B
Zhi-Hua Zhou, Yang Yu