Wang, Ze

25 publications

TMLR 2026 Learning from Online Videos at Inference Time for Computer-Use Agents Yujian Liu, Ze Wang, Hao Chen, Ximeng Sun, Xiaodong Yu, Jialian Wu, Jiang Liu, Emad Barsoum, Zicheng Liu, Shiyu Chang

AAAI 2025 Cross-Domain Trajectory Association Based on Hierarchical Spatiotemporal Enhanced Attention Hypergraph Chenlong Wu, Ze Wang, Keqing Cen, Yude Bai, Jin Hao

WACV 2025 EI-Nexus: Towards Unmediated and Flexible Inter-Modality Local Feature Extraction and Matching for Event-Image Data Zhonghua Yi, Hao Shi, Qi Jiang, Kailun Yang, Ze Wang, Diyang Gu, Yufan Zhang, Kaiwei Wang

ICML 2025 Masked Autoencoders Are Effective Tokenizers for Diffusion Models Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj

CVPR 2025 SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer Hao Chen, Ze Wang, Xiang Li, Ximeng Sun, Fangyi Chen, Jiang Liu, Jindong Wang, Bhiksha Raj, Zicheng Liu, Emad Barsoum

ICLR 2025 Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu

NeurIPS 2025 Unleashing Hour-Scale Video Training for Long Video-Language Understanding Jingyang Lin, Jialian Wu, Ximeng Sun, Ze Wang, Jiang Liu, Yusheng Su, Xiaodong Yu, Hao Chen, Jiebo Luo, Zicheng Liu, Emad Barsoum

MLJ 2024 A Cross-Domain User Association Scheme Based on Graph Attention Networks with Trajectory Embedding Keqing Cen, Zhenghao Yang, Ze Wang, Minhong Dong

ECCV 2024 Constructing Concept-Based Models to Mitigate Spurious Correlations with Minimal Human Effort Jeeyung Kim, Ze Wang, Qiang Qiu

CVPR 2024 Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning Zichen Miao, Jiang Wang, Ze Wang, Zhengyuan Yang, Lijuan Wang, Qiang Qiu, Zicheng Liu

CVPR 2023 Binary Latent Diffusion Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu

ICLR 2023 Energy-Inspired Self-Supervised Pretraining for Vision Models Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu

WACV 2023 Meta-OLE: Meta-Learned Orthogonal Low-Rank Embedding Ze Wang, Yue Lu, Qiang Qiu

ICLR 2022 Continual Learning with Filter Atom Swapping Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu

ICMLW 2022 Energy-Inspired Self-Supervised Pretraining for Vision Models Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu

NeurIPS 2022 Few-Shot Fast-Adaptive Anomaly Detection Ze Wang, Yipin Zhou, Rui Wang, Tsung-Yu Lin, Ashish Shah, Ser Nam Lim

ICCV 2021 Adaptive Convolutions with Per-Pixel Dynamic Filter Atom Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu

NeurIPS 2021 Image Generation Using Continuous Filter Atoms Ze Wang, Seunghyun Hwang, Zichen Miao, Qiang Qiu

NeurIPS 2021 Learning to Learn Dense Gaussian Processes for Few-Shot Learning Ze Wang, Zichen Miao, Xiantong Zhen, Qiang Qiu

NeurIPS 2021 Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks Zichen Miao, Ze Wang, Xiuyuan Cheng, Qiang Qiu

CVPRW 2021 Using Text to Teach Image Retrieval Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro

NeurIPS 2020 A Dictionary Approach to Domain-Invariant Learning in Deep Networks Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu

ICLR 2020 Stochastic Conditional Generative Networks with Basis Decomposition Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu

ICCVW 2019 Range Adaptation for 3D Object Detection in LiDAR Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu

AAAI 2018 CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition Jingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie, Zhang Xiong