COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning. - Wenxiao Wang 001; Cong Fu 001; Jishun Guo; Deng Cai 001; Xiaofei He 001 (IJCAI, 2019)

DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration. - Wenxiao Wang 001; Shuai Zhao 006; Minghao Chen 001; Jinming Hu; Deng Cai 001; Haifeng Liu 001 (CoRR, 2019)

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)

Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework. - Wenxiao Wang 001; Minghao Chen 001; Shuai Zhao 006; Jinming Hu; Boxi Wu; Zhengxu Yu; Deng Cai 001; Haifeng Liu 001 (CoRR, 2020)

SplitNet: Divide and Co-training. - Shuai Zhao 006; Liguang Zhou; Wenxiao Wang 001; Deng Cai 001; Tin Lun Lam; Yangsheng Xu (CoRR, 2020)

Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework. - Wenxiao Wang 001; Minghao Chen 001; Shuai Zhao 006; Long Chen 016; Jinming Hu; Haifeng Liu 001; Deng Cai 001; Xiaofei He 001; Wei Liu 005 (ICML, 2021)

CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention. - Wenxiao Wang 001; Lu Yao; Long Chen 016; Deng Cai 001; Xiaofei He 001; Wei Liu 005 (CoRR, 2021)

COP: customized correlation-based Filter level pruning method for deep CNN compression. - Wenxiao Wang 001; Zhengxu Yu; Cong Fu 001; Deng Cai 001; Xiaofei He 001 (Neurocomputing, 2021)

Masked Autoencoders for Point Cloud Self-supervised Learning. - Yatian Pang; Wenxiao Wang 001; Francis E. H. Tay; Wei Liu 005; Yonghong Tian 001; Li Yuan 007 (ECCV (2), 2022)

Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph. - Honghui Yang; Zili Liu; Xiaopei Wu; Wenxiao Wang 001; Wei Qian 003; Xiaofei He 001; Deng Cai 001 (ECCV (8), 2022)

CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention. - Wenxiao Wang 001; Lu Yao; Long Chen 016; Binbin Lin; Deng Cai 001; Xiaofei He 001; Wei Liu 005 (ICLR, 2022)

Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation. - Lin Li 065; Long Chen 016; Hanrong Shi; Wenxiao Wang 001; Jian Shao 001; Yi Yang 001; Jun Xiao 001 (CoRR, 2022)

Towards In-distribution Compatibility in Out-of-distribution Detection. - Boxi Wu; Jie Jiang 015; Haidong Ren; Zifan Du; Wenxiao Wang 001; Zhifeng Li 001; Deng Cai 001; Xiaofei He 001; Binbin Lin; Wei Liu 005 (CoRR, 2022)

Toward Better Accuracy-Efficiency Trade-Offs: Divide and Co-Training. - Shuai Zhao 006; Liguang Zhou; Wenxiao Wang 001; Deng Cai 001; Tin Lun Lam; Yangsheng Xu (IEEE Trans. Image Process., 2022)

Towards In-Distribution Compatible Out-of-Distribution Detection. - Boxi Wu; Jie Jiang 015; Haidong Ren; Zifan Du; Wenxiao Wang 001; Zhifeng Li 001; Deng Cai 001; Xiaofei He 001; Binbin Lin; Wei Liu 005 (AAAI, 2023)

CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation. - Yuqi Lin; Minghao Chen 001; Wenxiao Wang 001; Boxi Wu; Ke Li; Binbin Lin; Haifeng Liu 001; Xiaofei He 001 (CVPR, 2023)

PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer. - Honghui Yang; Wenxiao Wang 001; Minghao Chen 001; Binbin Lin; Tong He 001; Hua Chen; Xiaofei He 001; Wanli Ouyang (CVPR, 2023)

One-shot Implicit Animatable Avatars with Model-based Priors. - Yangyi Huang; Hongwei Yi; Weiyang Liu; Haofan Wang; Boxi Wu; Wenxiao Wang 001; Binbin Lin; Debing Zhang; Deng Cai 001 (ICCV, 2023)

MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection. - Junkai Xu; Liang Peng; Haoran Chen; Hao Li 009; Wei Qian 003; Ke Li; Wenxiao Wang 001; Deng Cai 001 (ICCV, 2023)

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)

APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding. - Hengjia Li; Tu Zheng; Zhihao Chi; Zheng Yang 008; Wenxiao Wang 001; Boxi Wu; Binbin Lin; Deng Cai 001 (CoRR, 2023)

Img2Vec: A Teacher of High Token-Diversity Helps Masked AutoEncoders. - Heng Pan; Chenyang Liu; Wenxiao Wang 001; Li Yuan 001; Hongfa Wang; Zhifeng Li 001; Wei Liu 005 (CoRR, 2023)

SelFLoc: Selective Feature Fusion for Large-scale Point Cloud-based Place Recognition. - Qibo Qiu; Haiming Gao; Wenxiao Wang 001; Zhiyi Su; Tian Xie; Wei Hua 002; Xiaofei He 001 (CoRR, 2023)

A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation. - Minghao Chen 001; Zepeng Gao; Shuai Zhao 006; Qibo Qiu; Wenxiao Wang 001; Binbin Lin; Xiaofei He 001 (CoRR, 2023)

MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection. - Junkai Xu; Liang Peng; Haoran Cheng; Hao Li 009; Wei Qian 003; Ke Li; Wenxiao Wang 001; Deng Cai 001 (CoRR, 2023)

M3CS: Multi-Target Masked Point Modeling with Learnable Codebook and Siamese Decoders. - Qibo Qiu; Honghui Yang; Wenxiao Wang 001; Shun Zhang; Haiming Gao; Haochao Ying; Wei Hua 002; Xiaofei He 001 (CoRR, 2023)

Few-shot Hybrid Domain Adaptation of Image Generators. - Hengjia Li; Yang Liu 212; Linxuan Xia; Yuqi Lin; Tu Zheng; Zheng Yang 008; Wenxiao Wang 001; Xiaohui Zhong; Xiaobo Ren; Xiaofei He 001 (CoRR, 2023)

To be or not to be? an exploration of continuously controllable prompt engineering. - Yuhan Sun; Mukai Li; Yixin Cao 002; Kun Wang; Wenxiao Wang 001; Xingyu Zeng; Rui Zhao (CoRR, 2023)

OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection. - Chenxi Huang 004; Tong He 001; Haidong Ren; Wenxiao Wang 001; Binbin Lin; Deng Cai 001 (IEEE Trans. Image Process., 2023)

Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving. - Junkai Xu; Liang Peng; Haoran Cheng; Linxuan Xia; Qi Zhou; Dan Deng; Wei Qian 003; Wenxiao Wang 001; Deng Cai 001 (AAAI, 2024)

Learning Occupancy for Monocular 3D Object Detection. - Liang Peng; Junkai Xu; Haoran Cheng; Zheng Yang 008; Xiaopei Wu; Wei Qian 003; Wenxiao Wang 001; Boxi Wu; Deng Cai 001 (CVPR, 2024)

Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-Dataset 3D Object Detection. - Zhanwei Zhang; Minghao Chen 001; Shuai Xiao; Liang Peng; Hengjia Li; Binbin Lin; Ping Li 006; Wenxiao Wang 001; Boxi Wu; Deng Cai 001 (CVPR, 2024)

Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts. - Yanting Yang; Minghao Chen 001; Qibo Qiu; Jiahao Wu; Wenxiao Wang 001; Binbin Lin; Ziyu Guan; Xiaofei He 001 (ECCV (57), 2024)

Few-shot Hybrid Domain Adaptation of Image Generator. - Hengjia Li; Yang Liu 212; Linxuan Xia; Yuqi Lin; Wenxiao Wang 001; Tu Zheng; Zheng Yang 008; Xiaohui Zhong; Xiaobo Ren; Xiaofei He 001 (ICLR, 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)

G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction. - Zhanwei Zhang; Zishuo Hua; Minghao Chen 001; Wei Lu; Binbin Lin; Deng Cai 001; Wenxiao Wang 001 (IJCAI, 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)

EMVP: Embracing Visual Foundation Model for Visual Place Recognition with Centroid-Free Probing. - Qibo Qiu; Shun Zhang; Haiming Gao; Honghui Yang; Haochao Ying; Wenxiao Wang 001; Xiaofei He 001 (NeurIPS, 2024)

Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control. - Yuxin Xiao; Chaoqun Wan; Yonggang Zhang 003; Wenxiao Wang 001; Binbin Lin; Xiaofei He 001; Xu Shen 001; 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)

Model Compression and Efficient Inference for Large Language Models: A Survey. - Wenxiao Wang 001; Wei Chen 005; Yicong Luo; Yongliu Long; Zhengkai Lin; Liye Zhang; Binbin Lin; Deng Cai 001; Xiaofei He 001 (CoRR, 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)

PD-TPE: Parallel Decoder with Text-guided Position Encoding for 3D Visual Grounding. - Chenshu Hou; Liang Peng; Xiaopei Wu; Wenxiao Wang 001; Xiaofei He 001 (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)

SelFLoc: Selective feature fusion for large-scale point cloud-based place recognition. - Qibo Qiu; Wenxiao Wang 001; Haochao Ying; Dingkun Liang; Haiming Gao; Xiaofei He 001 (Knowl. Based Syst., 2024)

Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation. - Lin Li 065; Jun Xiao 001; Hanrong Shi; Wenxiao Wang 001; Jian Shao 001; An-An Liu; Yi Yang 001; Long Chen 016 (IEEE Trans. Circuits Syst. Video Technol., 2024)

CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attention. - Wenxiao Wang 001; Wei Chen 005; Qibo Qiu; Long Chen 016; Boxi Wu; Binbin Lin; Xiaofei He 001; Wei Liu 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

STraj: Self-training for Bridging the Cross-Geography Gap in Trajectory Prediction. - Zhanwei Zhang; Minghao Chen 001; Zhihong Gu; Xinkui Zhao; Zheng Yang 008; Binbin Lin; Deng Cai 001; Wenxiao Wang 001 (AAAI, 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)

FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models. - Zhanwei Zhang; Shizhao Sun; Wenxiao Wang 001; Deng Cai 001; Jiang Bian (ICLR, 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)

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)