| 2025 | EMNLP | Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations. | Shuo Li, Jiajun Sun, Guodong Zheng, Xiaoran Fan, Yujiong Shen, Yi Lu, Zhiheng Xi, Yuming Yang, Wenming Tan, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | Beyond Dynamic Quantization: An Efficient Static Hierarchical Mix-precision Framework for Near-Lossless LLM Compression. | Yi Zhang, Kai Zhang, Zheyang Li, Wenming Tan, Ye Ren, Jilin Hu |
| 2025 | EMNLP | 1+1\ensuremath>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models. | Zeliang Zong, Kai Zhang, Zheyang Li, Wenming Tan, Ye Ren, Yiyan Zhai, Jilin Hu |
| 2024 | WACV | Rethinking Knowledge Distillation with Raw Features for Semantic Segmentation. | Tao Liu, Chenshu Chen, Xi Yang, Wenming Tan |
| 2023 | AAAI | MaskBooster: End-to-End Self-Training for Sparsely Supervised Instance Segmentation. | Shida Zheng, Chenshu Chen, Xi Yang, Wenming Tan |
| 2023 | CVPR | Bit-shrinking: Limiting Instantaneous Sharpness for Improving Post-training Quantization. | Chen Lin, Bo Peng, Zheyang Li, Wenming Tan, Ye Ren, Jun Xiao, Shiliang Pu |
| 2023 | ICCV | Distilling DETR with Visual-Linguistic Knowledge for Open-Vocabulary Object Detection. | Liangqi Li, Jiaxu Miao, Dahu Shi, Wenming Tan, Ye Ren, Yi Yang, Shiliang Pu |
| 2023 | ICCV | Learning Symmetry-Aware Geometry Correspondences for 6D Object Pose Estimation. | Heng Zhao, Shenxing Wei, Dahu Shi, Wenming Tan, Zheyang Li, Ye Ren, Xing Wei, Yi Yang, Shiliang Pu |
| 2022 | AAAI | SOIT: Segmenting Objects with Instance-Aware Transformers. | Xiaodong Yu, Dahu Shi, Xing Wei, Ye Ren, Tingqun Ye, Wenming Tan |
| 2022 | AAAI | Dual Decoupling Training for Semi-supervised Object Detection with Noise-Bypass Head. | Shida Zheng, Chenshu Chen, Xiaowei Cai, Tingqun Ye, Wenming Tan |
| 2022 | ACL | End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding. | Mengze Li, Tianbao Wang, Haoyu Zhang, Shengyu Zhang, Zhou Zhao, Jiaxu Miao, Wenqiao Zhang, Wenming Tan, Jin Wang, Peng Wang, Shiliang Pu, Fei Wu |
| 2022 | CVPR | End-to-End Multi-Person Pose Estimation with Transformers. | Dahu Shi, Xing Wei, Liangqi Li, Ye Ren, Wenming Tan |
| 2022 | ICIP | Meta-BNS FOR Adversarial Data-Free Quantization. | Siming Fu, Hualiang Wang, Yuchen Cao, Haoji Hu, Bo Peng, Wenming Tan, Tingqun Ye |
| 2022 | WACV | Mixed-dual-head Meets Box Priors: A Robust Framework for Semi-supervised Segmentation. | Chenshu Chen, Tao Liu, Wenming Tan, Shiliang Pu |
| 2021 | BMVC | UWC: Unit-wise Calibration Towards Rapid Network Compression. | Chen Lin, Zheyang Li, Bo Peng, Wenming Tan, Ye Ren, Shiliang Pu |
| 2021 | ICDAR | Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition. | Hui Jiang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Wenqi Ren, Fei Wu, Wenming Tan |
| 2021 | ICDAR | LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment. | Liang Qiao, Zaisheng Li, Zhanzhan Cheng, Peng Zhang, Shiliang Pu, Yi Niu, Wenqi Ren, Wenming Tan, Fei Wu |
| 2021 | ICIP | A Novel Method For Segmentation Of Breast Masses Based On Mammography Images. | Haichao Cao, Shiliang Pu, Wenming Tan |
| 2020 | AAAI | Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations. | Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian |
| 2018 | ECCV | Extreme Network Compression via Filter Group Approximation. | Bo Peng, Wenming Tan, Zheyang Li, Shun Zhang, Di Xie, Shiliang Pu |