| 2025 | CVPR | Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model. | Feng Liu, Shiwei Zhang, Xiaofeng Wang, Yujie Wei, Haonan Qiu, Yuzhong Zhao, Yingya Zhang, Qixiang Ye, Fang Wan |
| 2025 | CVPR | DynRefer: Delving into Region-level Multimodal Tasks via Dynamic Resolution. | Yuzhong Zhao, Feng Liu, Yue Liu, Mingxiang Liao, Chen Gong, Qixiang Ye, Fang Wan |
| 2025 | ICLR | Prototype antithesis for biological few-shot class-incremental learning. | Binghao Liu, Han Yang, Fang Wan, Fei Gu |
| 2024 | ECCV | Ray Denoising: Depth-Aware Hard Negative Sampling for Multi-view 3D Object Detection. | Feng Liu, Tengteng Huang, Qianjing Zhang, Haotian Yao, Chi Zhang, Fang Wan, Qixiang Ye, Yanzhao Zhou |
| 2024 | ECCV | ControlCap: Controllable Region-Level Captioning. | Yuzhong Zhao, Yue Liu, Zonghao Guo, Weijia Wu, Chen Gong, Qixiang Ye, Fang Wan |
| 2024 | ICINCO | Optimizing Small-Scale Surgery Scheduling with Large Language Model. | Fang Wan, Julien Fondrevelle, Tao Wang, Kezhi Wang, Antoine Duclos |
| 2024 | ICRA | Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation. | Kaixin Bai, Lei Zhang, Zhaopeng Chen, Fang Wan, Jianwei Zhang |
| 2023 | CVPR | AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation. | Mingxiang Liao, Zonghao Guo, Yuze Wang, Peng Yuan, Bailan Feng, Fang Wan |
| 2023 | ICCV | Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection. | Feng Liu, Xiaosong Zhang, Zhiliang Peng, Zonghao Guo, Fang Wan, Xiangyang Ji, Qixiang Ye |
| 2023 | ICCV | Generative Prompt Model for Weakly Supervised Object Localization. | Yuzhong Zhao, Qixiang Ye, Weijia Wu, Chunhua Shen, Fang Wan |
| 2022 | ECCV | End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution. | Mingxiang Liao, Fang Wan, Yuan Yao, Zhenjun Han, Jialing Zou, Yuze Wang, Bailan Feng, Peng Yuan, Qixiang Ye |
| 2021 | AAAI | Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment. | Mengying Fu, Tianning Yuan, Fang Wan, Songcen Xu, Qixiang Ye |
| 2021 | AAAI | Nearest Neighbor Classifier Embedded Network for Active Learning. | Fang Wan, Tianning Yuan, Mengying Fu, Xiangyang Ji, Qingming Huang, Qixiang Ye |
| 2021 | CoRL | Visual Learning Towards Soft Robot Force Control using a 3D Metamaterial with Differential Stiffness. | Fang Wan, Xiaobo Liu, Ning Guo, Xudong Han, Feng Tian, Chaoyang Song |
| 2021 | CVPR | Strengthen Learning Tolerance for Weakly Supervised Object Localization. | Guangyu Guo, Junwei Han, Fang Wan, Dingwen Zhang |
| 2021 | CVPR | Multiple Instance Active Learning for Object Detection. | Tianning Yuan, Fang Wan, Mengying Fu, Jianzhuang Liu, Songcen Xu, Xiangyang Ji, Qixiang Ye |
| 2021 | ICCV | TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization. | Wei Gao, Fang Wan, Xingjia Pan, Zhiliang Peng, Qi Tian, Zhenjun Han, Bolei Zhou, Qixiang Ye |
| 2021 | ICRA | An Overconstrained Robotic Leg with Coaxial Quasi-direct Drives for Omni-directional Ground Mobility. | Shihao Feng, Yuping Gu, Weijie Guo, Yuqin Guo, Fang Wan, Jia Pan, Chaoyang Song |
| 2020 | ECCV | Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning. | Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu |
| 2020 | IROS | A Bottom-up Framework for Construction of Structured Semantic 3D Scene Graph. | Bangguo Yu, Chongyu Chen, Fengyu Zhou, Fang Wan, Wenmi Zhuang, Yang Zhao |
| 2019 | CVPR | Utilizing the Instability in Weakly Supervised Object Detection. | Boxiao Liu, Yan Gao, Nan Guo, Xiaochun Ye, Fang Wan, Haihang You, Dongrui Fan |
| 2019 | CVPR | Parametric Skeleton Generation via Gaussian Mixture Models. | Chang Liu, Dezhao Luo, Yifei Zhang, Wei Ke, Fang Wan, Qixiang Ye |
| 2019 | CVPR | Orthogonal Decomposition Network for Pixel-Wise Binary Classification. | Chang Liu, Fang Wan, Wei Ke, Zhuowei Xiao, Yuan Yao, Xiaosong Zhang, Qixiang Ye |
| 2019 | CVPR | SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images. | Caijing Miao, Lingxi Xie, Fang Wan, Chi Su, Hongye Liu, Jianbin Jiao, Qixiang Ye |
| 2019 | CVPR | C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection. | Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye |
| 2019 | ICCV | DANet: Divergent Activation for Weakly Supervised Object Localization. | Haolan Xue, Chang Liu, Fang Wan, Jianbin Jiao, Xiangyang Ji, Qixiang Ye |
| 2019 | ICCV | C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection. | Gao Yan, Boxiao Liu, Nan Guo, Xiaochun Ye, Fang Wan, Haihang You, Dongrui Fan |
| 2019 | ICIP | A New Data Selection Strategy for One-Shot Video-Based Person Re-Identification. | Jianfeng Yin, Bairong Li, Fang Wan, Yuesheng Zhu |
| 2018 | CVPR | Min-Entropy Latent Model for Weakly Supervised Object Detection. | Fang Wan, Pengxu Wei, Jianbin Jiao, Zhenjun Han, Qixiang Ye |
| 2017 | CISIS | A Method for Estimating the Camera Parameters Based on Vanishing Points. | Fang Wan, HaiNing Li, Huazhong Jin, GuangBo Lei, Ou Ruan |
| 2017 | ICRA | A reconfigurable hybrid actuator with rigid and soft components. | Yaohui Chen, Sing Le, Qiao Chu Tan, Oscar Lau, Fang Wan, Chaoyang Song |
| 2017 | ICRA | A lobster-inspired robotic glove for hand rehabilitation. | Yaohui Chen, Sing Le, Qiao Chu Tan, Oscar Lau, Fang Wan, Chaoyang Song |
| 2016 | CVPR | Texture Complexity Based Redundant Regions Ranking for Object Proposal. | Wei Ke, Tianliang Zhang, Jie Chen, Fang Wan, Qixiang Ye, Zhenjun Han |
| 2016 | ICIP | Weakly supervised object detection with correlation and part suppression. | Fang Wan, Pengxu Wei, Zhenjun Han, Kun Fu, Qixiang Ye |
| 2014 | ICIP | A cluster specific latent dirichlet allocation model for trajectory clustering in crowded videos. | Jialing Zou, Yanting Cui, Fang Wan, Qixiang Ye, Jianbin Jiao |
| 1991 | ICPP | Using Separators Instead of Dynamic Programming in Approximation Algorithms for Planar Graphs. | Fang Wan, Gregory E. Shannon |