| 2026 | ACL | Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling. | Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding |
| 2025 | AAAI | Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution. | Wentao Tan, Qiong Cao, Yibing Zhan, Chao Xue, Changxing Ding |
| 2025 | CVPR | Modeling Thousands of Human Annotators for Generalizable Text-to-Image Person Re-identification. | Jiayu Jiang, Changxing Ding, Wentao Tan, Junhong Wang, Jin Tao, Xiangmin Xu |
| 2025 | CVPR | Effortless Active Labeling for Long-Term Test-Time Adaptation. | Guowei Wang, Changxing Ding |
| 2025 | CVPR | Guiding Human-Object Interactions with Rich Geometry and Relations. | Mengqing Xue, Yifei Liu, Ling Guo, Shaoli Huang, Changxing Ding |
| 2025 | ICCV | Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning. | Yiyang Chen, Shanshan Zhao, Lunhao Duan, Changxing Ding, Dacheng Tao |
| 2025 | ICCV | Bilateral Collaboration with Large Vision-Language Models for Open Vocabulary Human-Object Interaction Detection. | Yupeng Hu, Changxing Ding, Chang Sun, Shaoli Huang, Xiangmin Xu |
| 2025 | ICCV | Democratizing High-Fidelity Co-Speech Gesture Video Generation. | Xu Yang, Shaoli Huang, Shenbo Xie, Xuelin Chen, Yifei Liu, Changxing Ding |
| 2024 | CVPR | Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis. | Yiyang Chen, Lunhao Duan, Shanshan Zhao, Changxing Ding, Dacheng Tao |
| 2024 | CVPR | Disentangled Pre-Training for Human-Object Interaction Detection. | Zhuolong Li, Xingao Li, Changxing Ding, Xiangmin Xu |
| 2024 | CVPR | Towards Variable and Coordinated Holistic Co-Speech Motion Generation. | Yifei Liu, Qiong Cao, Yandong Wen, Huaiguang Jiang, Changxing Ding |
| 2024 | CVPR | Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID. | Wentao Tan, Changxing Ding, Jiayu Jiang, Fei Wang, Yibing Zhan, Dapeng Tao |
| 2024 | CVPR | Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On. | Xu Yang, Changxing Ding, Zhibin Hong, Junhao Huang, Jin Tao, Xiangmin Xu |
| 2023 | CVPR | HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization. | Zhihao Liang, Zhangjin Huang, Changxing Ding, Kui Jia |
| 2023 | CVPR | Harmonious Feature Learning for Interactive Hand-Object Pose Estimation. | Zhifeng Lin, Changxing Ding, Huan Yao, Zengsheng Kuang, Shaoli Huang |
| 2023 | ICCV | Unified Pre-training with Pseudo Texts for Text-To-Image Person Re-identification. | Zhiyin Shao, Xinyu Zhang, Changxing Ding, Jian Wang, Jingdong Wang |
| 2023 | ICIP | Mining False Positive Examples for Text-Based Person Re-Identification. | Wenhao Xu, Zhiyin Shao, Changxing Ding |
| 2023 | MICCAI | DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation. | Shengcong Chen, Changxing Ding, Dacheng Tao, Hao Chen |
| 2022 | AAAI | MobileFaceSwap: A Lightweight Framework for Video Face Swapping. | Zhiliang Xu, Zhibin Hong, Changxing Ding, Zhen Zhu, Junyu Han, Jingtuo Liu, Errui Ding |
| 2022 | CVPR | HL-Net: Heterophily Learning Network for Scene Graph Generation. | Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, Dacheng Tao |
| 2022 | CVPR | RU-Net: Regularized Unrolling Network for Scene Graph Generation. | Xin Lin, Changxing Ding, Jing Zhang, Yibing Zhan, Dacheng Tao |
| 2022 | CVPR | Distillation Using Oracle Queries for Transformer-based Human-Object Interaction Detection. | Xian Qu, Changxing Ding, Xingao Li, Xubin Zhong, Dacheng Tao |
| 2022 | CVPR | Few-Shot Head Swapping in the Wild. | Changyong Shu, Hemao Wu, Hang Zhou, Jiaming Liu, Zhibin Hong, Changxing Ding, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang |
| 2022 | ECCV | Category-Level 6D Object Pose and Size Estimation Using Self-supervised Deep Prior Deformation Networks. | Jiehong Lin, Zewei Wei, Changxing Ding, Kui Jia |
| 2022 | ECCV | Towards Hard-Positive Query Mining for DETR-Based Human-Object Interaction Detection. | Xubin Zhong, Changxing Ding, Zijian Li, Shaoli Huang |
| 2021 | CVPR | Glance and Gaze: Inferring Action-Aware Points for One-Stage Human-Object Interaction Detection. | Xubin Zhong, Xian Qu, Changxing Ding, Dacheng Tao |
| 2020 | CVPR | GPS-Net: Graph Property Sensing Network for Scene Graph Generation. | Xin Lin, Changxing Ding, Jinquan Zeng, Dacheng Tao |
| 2020 | CVPR | Learning Oracle Attention for High-Fidelity Face Completion. | Tong Zhou, Changxing Ding, Shaowen Lin, Xinchao Wang, Dacheng Tao |
| 2020 | ECCV | Polysemy Deciphering Network for Human-Object Interaction Detection. | Xubin Zhong, Changxing Ding, Xian Qu, Dacheng Tao |
| 2020 | MICCAI | Boundary-Assisted Region Proposal Networks for Nucleus Segmentation. | Shengcong Chen, Changxing Ding, Dacheng Tao |
| 2018 | ECCV | Correcting the Triplet Selection Bias for Triplet Loss. | Baosheng Yu, Tongliang Liu, Mingming Gong, Changxing Ding, Dacheng Tao |
| 2018 | MICCAI | Learning Contextual and Attentive Information for Brain Tumor Segmentation. | Chenhong Zhou, Shengcong Chen, Changxing Ding, Dacheng Tao |
| 2018 | MICCAI | One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation. | Chenhong Zhou, Changxing Ding, Zhentai Lu, Xinchao Wang, Dacheng Tao |
| 2017 | IECON | Sliding mode observer based disturbance reconstruction and fault tolerant control for nonlinear system. | Yiyong Sun, Changxing Ding, Jinyong Yu, Zhan Li, Yuandi Li |
| 2013 | IECON | Surface damage inspection of E-shaped magnetic core elements using K-tSL-center clustering method. | Huijun Gao, Jiangyuan Mei, Changxing Ding, Chunwei Song |