Self-Paced Probabilistic Principal Component Analysis for Data with Outliers. - Bowen Zhao 003; Xi Xiao; Wanpeng Zhang 002; Bin Zhang 048; Shutao Xia (CoRR, 2019)

Self-Paced Probabilistic Principal Component Analysis For Data With Outliers. - Bowen Zhao 003; Xi Xiao; Wanpeng Zhang 002; Bin Zhang 048; Guojun Gan; Shutao Xia (ICASSP, 2020)

Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control. - Wanpeng Zhang 002; Xiaoyan Cao; Yao Yao 006; Zhicheng An; Xi Xiao; Dijun Luo (ACML, 2021)

A Simulator-based Planning Framework for Optimizing Autonomous Greenhouse Control Strategy. - Zhicheng An; Xiaoyan Cao; Yao Yao 006; Wanpeng Zhang 002; Lanqing Li; Yue Wang; Shihui Guo; Dijun Luo (ICAPS, 2021)

Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation. - Yao Yao 006; Li Xiao 006; Zhicheng An; Wanpeng Zhang 002; Dijun Luo (ICRA, 2021)

Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation. - Yao Yao 006; Li Xiao 009; Zhicheng An; Wanpeng Zhang 002; Dijun Luo (CoRR, 2021)

IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. - Xiaoyan Cao; Yao Yao 006; Lanqing Li; Wanpeng Zhang 002; Zhicheng An; Zhong Zhang; Shihui Guo; Li Xiao 009; Xiaoyu Cao; Dijun Luo (CoRR, 2021)

MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning. - Wanpeng Zhang 002; Xi Xiao; Yao Yao 006; Mingzhe Chen; Dijun Luo (CoRR, 2021)

iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. - Xiaoyan Cao; Yao Yao 006; Lanqing Li; Wanpeng Zhang 002; Zhicheng An; Zhong Zhang; Li Xiao 009; Shihui Guo; Xiaoyu Cao; Meihong Wu; Dijun Luo (AAAI, 2022)

Efficient and Stable Information Directed Exploration for Continuous Reinforcement Learning. - Mingzhe Chen; Xi Xiao; Wanpeng Zhang 002; Xiaotian Gao (ICASSP, 2022)

Model-Based Opponent Modeling. - Xiaopeng Yu 001; Jiechuan Jiang; Wanpeng Zhang 002; Haobin Jiang; Zongqing Lu 002 (NeurIPS, 2022)

Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. - Ziluo Ding; Wanpeng Zhang 002; Junpeng Yue; Xiangjun Wang; Tiejun Huang 001; Zongqing Lu 002 (ICML, 2023)

RLAdapter: Bridging Large Language Models to Reinforcement Learning in Open Worlds. - Wanpeng Zhang 002; Zongqing Lu 002 (CoRR, 2023)

Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation. - Wanpeng Zhang 002; Yilin Li; Boyu Yang 003; Zongqing Lu 002 (ICML, 2024)

AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback. - Wanpeng Zhang 002; Zongqing Lu 002 (NAACL-HLT (Findings), 2024)

VideoOrion: Tokenizing Object Dynamics in Videos. - Yicheng Feng; Yijiang Li; Wanpeng Zhang 002; Sipeng Zheng; Zongqing Lu 002 (CoRR, 2024)

From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities. - Wanpeng Zhang 002; Zilong Xie; Yicheng Feng; Yijiang Li; Xingrun Xing; Sipeng Zheng; Zongqing Lu 002 (ICLR, 2025)

SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. - Xingrun Xing; Boyan Gao; Zheng Liu; David A. Clifton; Shitao Xiao; Wanpeng Zhang 002; Li Du; Zheng Zhang; Guoqi Li; Jiajun Zhang (ICLR, 2025)

LLM-Based Explicit Models of Opponents for Multi-Agent Games. - Xiaopeng Yu 001; Wanpeng Zhang 002; Zongqing Lu 002 (NAACL (Long Papers), 2025)

EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models. - Xingrun Xing; Zheng Liu; Shitao Xiao; Boyan Gao; Yiming Liang; Wanpeng Zhang 002; Haokun Lin; Guoqi Li; Jiajun Zhang (CoRR, 2025)

Unified Multimodal Understanding via Byte-Pair Visual Encoding. - Wanpeng Zhang 002; Yicheng Feng; Hao Luo 011; Yijiang Li; Zihao Yue; Sipeng Zheng; Zongqing Lu 002 (CoRR, 2025)

Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos. - Hao Luo 011; Yicheng Feng; Wanpeng Zhang 002; Sipeng Zheng; Ye Wang; Haoqi Yuan; Jiazheng Liu; Chaoyi Xu; Qin Jin; Zongqing Lu 002 (CoRR, 2025)