^* indicates the corresponding author.

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

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

CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attention
Wenxiao Wang, Wei Chen, Qibo Qiu, Long Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wei Liu
IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3123-3136 (2024)

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

Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang^*, Deng Cai, Yue Wu, Jieping Ye^*
NeurIPS 2024

Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control
Yuxin Xiao, Chaoqun Wan, Yonggang Zhang, Wenxiao Wang, Binbin Lin, Xiaofei He, Xu Shen, 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, Xiaofei He
NeurIPS 2024

MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection
Junkai Xu, Liang Peng, Haoran Chen, Hao Li, Wei Qian, Ke Li, Wenxiao Wang^*, Deng Cai
ICCV 2023: 6791-6801

Toward Better Accuracy-Efficiency Trade-Offs: Divide and Co-Training
Shuai Zhao, Liguang Zhou, Wenxiao Wang, Deng Cai, Tin Lun Lam, Yangsheng Xu
IEEE Transactions on Image Processing (TIP), 2022.
[link] [code]

Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph
Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang^*, Wei Qian, Xiaofei He, Deng Cai
European Conference on Computer Vision (ECCV), 2022. (Oral)
[link] [code]

Masked autoencoders for point cloud self-supervised learning
Yatian Pang, Wenxiao Wang, Francis EH Tay, Wei Liu, Yonghong Tian, Li Yuan
European Conference on Computer Vision (ECCV), 2022.
[link] [code]

CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention
Wenxiao Wang, Lu Yao, Long Chen, Binbin Lin, Deng Cai, Xiaofei He, Wei Liu
International Conference on Learning Representations (ICLR), 2022.
[link] [code] [report1] [report2] [report3]

Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework
Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu
International Conference on Machine Learning (ICML), 2021. (Spotlight)
[link] [report1]

DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration
Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu
preprint arXiv:1912.10178
[link]

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning
Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He
International Joint Conference on Artificial Intelligence (IJCAI), 2019. (Oral)
[link] [code]