Fast RGB-T Tracking via Cross-Modal Correlation Filters. - Sulan Zhai; Pengpeng Shao; Xinyan Liang; Xin Wang (Neurocomputing, 2019)

Improving iForest for Hydrological Time Series Anomaly Detection. - Pengpeng Shao; Feng Ye; Zihao Liu; Xiwen Wang; Ming Lu; Yupeng Mao (ICA3PP (3), 2020)

Self-supervised Graph Representation Learning via Bootstrapping. - Feihu Che; Guohua Yang; Dawei Zhang 001; Jianhua Tao 001; Pengpeng Shao; Tong Liu (CoRR, 2020)

Multi-Level Graph Contrastive Learning. - Pengpeng Shao; Tong Liu; Dawei Zhang 001; Jianhua Tao 001; Feihu Che; Guohua Yang (CoRR, 2021)

MixKG: Mixing for harder negative samples in knowledge graph. - Feihu Che; Guohua Yang; Pengpeng Shao; Dawei Zhang 001; Jianhua Tao 001 (CoRR, 2022)

Tucker decomposition-based temporal knowledge graph completion. - Pengpeng Shao; Dawei Zhang 001; Guohua Yang; Jianhua Tao 001; Feihu Che; Tong Liu (Knowl. Based Syst., 2022)

Hierarchical graph attention network for temporal knowledge graph reasoning. - Pengpeng Shao; Jiayi He; Guanjun Li; Dawei Zhang 001; Jianhua Tao 001 (Neurocomputing, 2023)

Adaptive pseudo-Siamese policy network for temporal knowledge prediction. - Pengpeng Shao; Tong Liu; Feihu Che; Dawei Zhang 001; Jianhua Tao 001 (Neural Networks, 2023)

Can large language models understand uncommon meanings of common words? - Jinyang Wu; Feihu Che; Xinxin Zheng; Shuai Zhang 014; Ruihan Jin; Shuai Nie; Pengpeng Shao; Jianhua Tao 001 (CoRR, 2024)

Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognition. - Lan Chen; Dong Li; Xiao Wang 014; Pengpeng Shao; Wei Zhang 012; Yaowei Wang 001; Yonghong Tian 001; Jin Tang 001 (CoRR, 2024)

Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms. - Xiao Wang 014; Shiao Wang; Pengpeng Shao; Bo Jiang 002; Lin Zhu 012; Yonghong Tian 001 (CoRR, 2024)

Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models. - Jinyang Wu; Feihu Che; Chuyuan Zhang; Jianhua Tao 001; Shuai Zhang 014; Pengpeng Shao (CoRR, 2024)

VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition. - Lan Chen; Haoxiang Yang; Pengpeng Shao; Haoyu Song; Xiao Wang 014; Zhicheng Zhao; Yaowei Wang 001; Yonghong Tian 001 (CoRR, 2024)

Bayesian hypernetwork collaborates with time-difference evolutional network for temporal knowledge prediction. - Pengpeng Shao; Yang Wen; Jianhua Tao 001 (Neural Networks, 2024)

Multi-level graph contrastive learning. - Pengpeng Shao; Jianhua Tao 001 (Neurocomputing, 2024)

Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models. - Jinyang Wu; Shuai Zhang 014; Feihu Che; Mingkuan Feng; Pengpeng Shao; Jianhua Tao 001 (ACL (1), 2025)

DReSS: Data-driven Regularized Structured Streamlining for Large Language Models. - Mingkuan Feng; Jinyang Wu; Shuai Zhang 014; Pengpeng Shao; Ruihan Jin; Zhengqi Wen; Jianhua Tao 001; Feihu Che (CoRR, 2025)

Thought-Augmented Policy Optimization: Bridging External Guidance and Internal Capabilities. - Jinyang Wu; Chonghua Liao; Mingkuan Feng; Shuai Zhang 014; Zhengqi Wen; Pengpeng Shao; Huazhe Xu; Jianhua Tao 001 (CoRR, 2025)

ELDeR: Getting Efficient LLMs through Data-Driven Regularized Layer-wise Pruning. - Mingkuan Feng; Jinyang Wu; Siyuan Liu; Shuai Zhang 014; Hongjian Fang; Ruihan Jin; Feihu Che; Pengpeng Shao; Zhengqi Wen; Jianhua Tao 001 (CoRR, 2025)

RadialRouter: Structured Representation for Efficient and Robust Large Language Models Routing. - Ruihan Jin; Pengpeng Shao; Zhengqi Wen; Jinyang Wu; Mingkuan Feng; Shuai Zhang 014; Jianhua Tao 001 (CoRR, 2025)