PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module. - Liang Xie 003; Chao Xiang; Zhengxu Yu; Guodong Xu; Zheng Yang 008; Deng Cai 001; Xiaofei He 001 (AAAI, 2020)

Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds. - Guodong Xu; Wenxiao Wang 001; Zili Liu; Liang Xie 003; Zheng Yang 008; Haifeng Liu 001; Deng Cai 001 (CoRR, 2020)

Stable Learning via Causality-based Feature Rectification. - Zhengxu Yu; Pengfei Wang 008; Junkai Xu; Liang Xie 003; Zhongming Jin 001; Jianqiang Huang; Xiaofei He 001; Deng Cai 001; Xian-Sheng Hua 001 (CoRR, 2020)

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion. - Xiaopei Wu; Liang Peng; Honghui Yang; Liang Xie 003; Chenxi Huang 004; Chengqi Deng; Haifeng Liu 001; Deng Cai 001 (CVPR, 2022)

General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment. - Liang Xie 003; Yibo Yang; Wenxiao Wang 001; Binbin Lin; Deng Cai 001; Xiaofei He 001 (CoRR, 2023)

Neural Collapse Inspired Federated Learning with Non-iid Data. - Chenxi Huang 004; Liang Xie 003; Yibo Yang; Wenxiao Wang 001; Binbin Lin; Deng Cai 001 (CoRR, 2023)

X-View: Non-Egocentric Multi-View 3D Object Detector. - Liang Xie 003; Guodong Xu; Deng Cai 001; Xiaofei He 001 (IEEE Trans. Image Process., 2023)

Neural collapse inspired attraction-repulsion-balanced loss for imbalanced learning. - Liang Xie 003; Yibo Yang; Deng Cai 001; Xiaofei He 001 (Neurocomputing, 2023)

Semi-supervised 3D Object Detection with PatchTeacher and PillarMix. - Xiaopei Wu; Liang Peng; Liang Xie 003; Yuenan Hou; Binbin Lin; Xiaoshui Huang; Haifeng Liu 001; Deng Cai 001; Wanli Ouyang (AAAI, 2024)

From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. - Wei Chen 005; Zhen Huang 007; Liang Xie 003; Binbin Lin; Houqiang Li; Le Lu 001; Xinmei Tian 001; Deng Cai 001; Yonggang Zhang 003; Wenxiao Wang 001; Xu Shen 001; Jieping Ye (ICML, 2024)

Delving into the Reversal Curse: How Far Can Large Language Models Generalize? - Zhengkai Lin; Zhihang Fu; Kai Liu 023; Liang Xie 003; Binbin Lin; Wenxiao Wang 001; Deng Cai 001; Yue Wu; Jieping Ye (NeurIPS, 2024)

Instance-adaptive Zero-shot Chain-of-Thought Prompting. - Xiaosong Yuan; Chen Shen 003; Shaotian Yan; Xiaofeng Zhang; Liang Xie 003; Wenxiao Wang 001; Renchu Guan; Ying Wang; Jieping Ye (NeurIPS, 2024)

From Redundancy to Relevance: Enhancing Explainability in Multimodal Large Language Models. - Xiaofeng Zhang; Chen Shen 003; Xiaosong Yuan; Shaotian Yan; Liang Xie 003; Wenxiao Wang 001; Chaochen Gu; Hao Tang; Jieping Ye (CoRR, 2024)

SciPIP: An LLM-based Scientific Paper Idea Proposer. - Wenxiao Wang 001; Lihui Gu; Liye Zhang; Yunxiang Luo; Yi Dai; Chen Shen 003; Liang Xie 003; Binbin Lin; Xiaofei He 001; Jieping Ye (CoRR, 2024)

Hierarchical multi-modal video summarization with dynamic sampling. - Lingjian Yu; Xing Zhao 001; Liang Xie 003; Haoran Liang 001; Ronghua Liang (IET Image Process., 2024)

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models. - Xiao Cui; Mo Zhu; Yulei Qin; Liang Xie 003; Wengang Zhou 001; Houqiang Li (AAAI, 2025)

Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning. - Chenxi Huang 004; Shaotian Yan; Liang Xie 003; Binbin Lin; Sinan Fan; Yue Xin; Deng Cai 001; Chen Shen 003; Jieping Ye (ACL (1), 2025)

Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach. - Sinan Fan; Liang Xie 003; Chen Shen 003; Ge Teng; Xiaosong Yuan; Xiaofeng Zhang; Chenxi Huang 004; Wenxiao Wang 001; Xiaofei He 001; Jieping Ye (ICLR, 2025)

Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models. - Shaotian Yan; Chen Shen 003; Wenxiao Wang 001; Liang Xie 003; Junjie Liu; Jieping Ye (ICLR, 2025)

SCLSTE: Semi-supervised Contrastive Learning-Guided Scene Text Editing. - Min Yin; Liang Xie 003; Haoran Liang 001; Xing Zhao 001; Ben Chen; Ronghua Liang (MMM (3), 2025)

Concise and Organized Perception Facilitates Reasoning in Large Language Models. - Junjie Liu; Shaotian Yan; Chen Shen 003; Zhengdong Xiao; Liang Xie 003; Wenxiao Wang 001; Jieping Ye (NAACL (Findings), 2025)

From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks. - Xiaofeng Zhang; Yihao Quan; Chen Shen 003; Xiaosong Yuan; Shaotian Yan; Liang Xie 003; Wenxiao Wang 001; Chaochen Gu; Hao Tang; Jieping Ye (NAACL (Long Papers), 2025)

Dual Graph for Traffic Forecasting. - Long Wei; Zhengxu Yu; Zhongming Jin 001; Liang Xie 003; Jianqiang Huang; Deng Cai 001; Xiaofei He 001; Xian-Sheng Hua 001 (IEEE Access, 2025)

Semantic-aware representations for unsupervised Camouflaged Object Detection. - Zelin Lu; Xing Zhao 001; Liang Xie 003; Haoran Liang 001; Ronghua Liang (J. Vis. Commun. Image Represent., 2025)

A Weakly-Supervised Cross-Domain Query Framework for Video Camouflage Object Detection. - Zelin Lu; Liang Xie 003; Xing Zhao 001; Binwei Xu; Haoran Liang 001; Ronghua Liang (IEEE Trans. Circuits Syst. Video Technol., 2025)

GeoCAD: Local Geometry-Controllable CAD Generation. - Zhanwei Zhang; Kaiyuan Liu; Junjie Liu; Wenxiao Wang 001; Binbin Lin; Liang Xie 003; Chen Shen 003; Deng Cai 001 (CoRR, 2025)

Controlling Thinking Speed in Reasoning Models. - Zhengkai Lin; Zhihang Fu; Ze Chen 001; Chao Chen 026; Liang Xie 003; Wenxiao Wang 001; Deng Cai 001; Zheng Wang; Jieping Ye (CoRR, 2025)