Partition and Scheduling Algorithms for Neural Network Accelerators. - Xiaobing Chen; Shaohui Peng; Luyang Jin; Yimin Zhuang; Jin Song; Weijian Du; Shaoli Liu; Tian Zhi (APPT, 2019)

Deep Fusion: A Software Scheduling Method for Memory Access Optimization. - Yimin Zhuang; Shaohui Peng; Xiaobing Chen; Shengyuan Zhou; Tian Zhi; Wei Li 008; Shaoli Liu (NPC, 2019)

Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment. - Jiaming Guo; Rui Zhang 040; Xishan Zhang; Shaohui Peng; Qi Yi; Zidong Du; Xing Hu 001; Qi Guo 001; Yunji Chen (IJCAI, 2021)

Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms. - Ruizhi Chen; Xiaoyu Wu; Yansong Pan; Kaizhao Yuan; Ling Li 001; TianYun Ma; JiYuan Liang; Rui Zhang 040; Kai Wang; Chen Zhang 001; Shaohui Peng; Xishan Zhang; et al. (CoRR, 2021)

Causality-driven Hierarchical Structure Discovery for Reinforcement Learning. - Shaohui Peng; Xing Hu 001; Rui Zhang 040; Ke Tang 001; Jiaming Guo; Qi Yi; Ruizhi Chen; Xishan Zhang; Zidong Du; Ling Li 001; Qi Guo 001; Yunji Chen (NeurIPS, 2022)

Object-Category Aware Reinforcement Learning. - Qi Yi; Rui Zhang 040; Shaohui Peng; Jiaming Guo; Xing Hu 001; Zidong Du; Xishan Zhang; Qi Guo 001; Yunji Chen (NeurIPS, 2022)

Tetris: A Heuristic Static Memory Management Framework for Uniform Memory Multicore Neural Network Accelerators. - Xiaobing Chen; Hao Qi 004; Shaohui Peng; Yimin Zhuang; Tian Zhi; Yunji Chen (J. Comput. Sci. Technol., 2022)

Conceptual Reinforcement Learning for Language-Conditioned Tasks. - Shaohui Peng; Xing Hu 001; Rui Zhang 040; Jiaming Guo; Qi Yi; Ruizhi Chen; Zidong Du; Ling Li 001; Qi Guo 001; Yunji Chen (AAAI, 2023)

Online Prototype Alignment for Few-shot Policy Transfer. - Qi Yi; Rui Zhang 040; Shaohui Peng; Jiaming Guo; Yunkai Gao 001; Kaizhao Yuan; Ruizhi Chen; Siming Lan; Xing Hu 001; Zidong Du; Xishan Zhang; Qi Guo 001; et al. (ICML, 2023)

Context Shift Reduction for Offline Meta-Reinforcement Learning. - Yunkai Gao 001; Rui Zhang 040; Jiaming Guo; Fan Wu; Qi Yi; Shaohui Peng; Siming Lan; Ruizhi Chen; Zidong Du; Xing Hu 001; Qi Guo 001; Ling Li 001; et al. (NeurIPS, 2023)

Efficient Symbolic Policy Learning with Differentiable Symbolic Expression. - Jiaming Guo; Rui Zhang 040; Shaohui Peng; Qi Yi; Xing Hu 001; Ruizhi Chen; Zidong Du; Xishan Zhang; Ling Li 001; Qi Guo 001; Yunji Chen (NeurIPS, 2023)

Emergent Communication for Rules Reasoning. - Yuxuan Guo; Yifan Hao 001; Rui Zhang 040; Enshuai Zhou; Zidong Du; Xishan Zhang; Xinkai Song; Yuanbo Wen; Yongwei Zhao; Xuehai Zhou; Jiaming Guo; Qi Yi; et al. (NeurIPS, 2023)

ANPL: Towards Natural Programming with Interactive Decomposition. - Di Huang; Ziyuan Nan; Xing Hu 001; Pengwei Jin; Shaohui Peng; Yuanbo Wen; Rui Zhang 040; Zidong Du; Qi Guo 001; Yewen Pu; Yunji Chen (NeurIPS, 2023)

Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning. - Siming Lan; Rui Zhang 040; Qi Yi; Jiaming Guo; Shaohui Peng; Yunkai Gao 001; Fan Wu; Ruizhi Chen; Zidong Du; Xing Hu 001; Xishan Zhang; Ling Li 001; et al. (NeurIPS, 2023)

Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning. - Zikang Tian; Ruizhi Chen; Xing Hu 001; Ling Li 001; Rui Zhang 040; Fan Wu; Shaohui Peng; Jiaming Guo; Zidong Du; Qi Guo 001; Yunji Chen (NeurIPS, 2023)

ANPL: Compiling Natural Programs with Interactive Decomposition. - Di Huang; Ziyuan Nan; Xing Hu 001; Pengwei Jin; Shaohui Peng; Yuanbo Wen; Rui Zhang 040; Zidong Du; Qi Guo 001; Yewen Pu; Yunji Chen (CoRR, 2023)

Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning. - Shaohui Peng; Xing Hu 001; Qi Yi; Rui Zhang 040; Jiaming Guo; Di Huang; Zikang Tian; Ruizhi Chen; Zidong Du; Qi Guo 001; Yunji Chen; Ling Li 001 (CoRR, 2023)

Learning controllable elements oriented representations for reinforcement learning. - Qi Yi; Rui Zhang 040; Shaohui Peng; Jiaming Guo; Xing Hu 001; Zidong Du; Qi Guo 001; Ruizhi Chen; Ling Li 001; Yunji Chen (Neurocomputing, 2023)

Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning. - Shaohui Peng; Xing Hu 001; Qi Yi; Rui Zhang 040; Jiaming Guo; Di Huang; Zikang Tian; Ruizhi Chen; Zidong Du; Qi Guo 001; Yunji Chen; Ling Li 001 (AAAI, 2024)

OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning. - Fan Wu; Rui Zhang 040; Qi Yi; Yunkai Gao 001; Jiaming Guo; Shaohui Peng; Siming Lan; Husheng Han; Yansong Pan; Kaizhao Yuan; Pengwei Jin; Ruizhi Chen; et al. (AAAI, 2024)

Emergent Communication for Numerical Concepts Generalization. - Enshuai Zhou; Yifan Hao 001; Rui Zhang 040; Yuxuan Guo; Zidong Du; Xishan Zhang; Xinkai Song; Chao Wang 003; Xuehai Zhou; Jiaming Guo; Qi Yi; Shaohui Peng; et al. (AAAI, 2024)

Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding. - Huang Lei; Jiaming Guo; Guanhua He; Xishan Zhang; Rui Zhang 040; Shaohui Peng; Shaoli Liu; Tianshi Chen 002 (ACL (1), 2024)

Prompt-based Visual Alignment for Zero-shot Policy Transfer. - Haihan Gao; Rui Zhang 040; Qi Yi; Hantao Yao; Haochen Li 002; Jiaming Guo; Shaohui Peng; Yunkai Gao 001; QiCheng Wang; Xing Hu 001; Yuanbo Wen; Zihao Zhang; et al. (ICML, 2024)

Assessing and Understanding Creativity in Large Language Models. - Yunpu Zhao; Rui Zhang 040; Wenyi Li; Di Huang; Jiaming Guo; Shaohui Peng; Yifan Hao 001; Yuanbo Wen; Xing Hu 001; Zidong Du; Qi Guo 001; Ling Li 001; et al. (CoRR, 2024)

Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification. - Yuxuan Guo; Shaohui Peng; Jiaming Guo; Di Huang; Xishan Zhang; Rui Zhang 040; Yifan Hao 001; Ling Li 001; Zikang Tian; Mingju Gao; Yutai Li; Yiming Gan; et al. (CoRR, 2024)

World-Consistent Data Generation for Vision-and-Language Navigation. - Yu Zhong; Rui Zhang 040; Zihao Zhang; Shuo Wang; Chuan Fang; Xishan Zhang; Jiaming Guo; Shaohui Peng; Di Huang; Yanyang Yan; Xing Hu 001; Ping Tan; et al. (CoRR, 2024)

QiMeng-Attention: SOTA Attention Operator is generated by SOTA Attention Algorithm. - Qirui Zhou; Shaohui Peng; Weiqiang Xiong; Haixin Chen; Yuanbo Wen; Haochen Li 002; Ling Li 001; Qi Guo 001; Yongwei Zhao; Ke Gao; Ruizhi Chen; Yanjun Wu; et al. (ACL (Findings), 2025)

SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain Adaptive Object Detection. - Haochen Li 002; Rui Zhang 040; Hantao Yao; Xin Zhang 062; Yifan Hao 001; Xinkai Song; Shaohui Peng; Yongwei Zhao; Chen Zhao; Yanjun Wu; Ling Li 001 (CVPR, 2025)

Cambricon-SR: An Accelerator for Neural Scene Representation with Sparse Encoding Table. - Tianbo Liu 006; Xinkai Song; Zhifei Yue; Rui Wen; Xing Hu 001; Zhuoran Song; Yuanbo Wen; Yifan Hao 001; Wei Li 008; Zidong Du; Rui Zhang 040; Jiaming Guo; et al. (ISCA, 2025)

Morphology generalizable reinforcement learning via multi-level graph features. - Yansong Pan; Rui Zhang 040; Jiaming Guo; Shaohui Peng; Fan Wu; Kaizhao Yuan; Yunkai Gao 001; Siming Lan; Ruizhi Chen; Ling Li 001; Xing Hu 001; Zidong Du; et al. (Neurocomputing, 2025)

Harmonia: A Unified Architecture for Efficient Deep Symbolic Regression. - Tianyun Ma; Yuanbo Wen; Xinkai Song; Pengwei Jin; Di Huang; Husheng Han; Ziyuan Nan; Zhongkai Yu; Shaohui Peng; Yongwei Zhao; Huaping Chen 001; Zidong Du; et al. (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

QiMeng-TensorOp: Automatically Generating High-Performance Tensor Operators with Hardware Primitives. - Xuzhi Zhang; Shaohui Peng; Qirui Zhou; Yuanbo Wen; Qi Guo 001; Ruizhi Chen; Xinguo Zhu; Weiqiang Xiong; Haixin Chen; Congying Ma; Ke Gao; Chen Zhao; et al. (CoRR, 2025)

QiMeng: Fully Automated Hardware and Software Design for Processor Chip. - Rui Zhang 040; Yuanbo Wen; Shuyao Cheng; Di Huang; Shaohui Peng; Jiaming Guo; Pengwei Jin; Jiacheng Zhao; Tianrui Ma; Yaoyu Zhu; Yifan Hao 001; Yongwei Zhao; et al. (CoRR, 2025)

QiMeng-Attention: SOTA Attention Operator is generated by SOTA Attention Algorithm. - Qirui Zhou; Shaohui Peng; Weiqiang Xiong; Haixin Chen; Yuanbo Wen; Haochen Li 002; Ling Li 001; Qi Guo 001; Yongwei Zhao; Ke Gao; Ruizhi Chen; Yanjun Wu; et al. (CoRR, 2025)