Zuxuan Wu - Fudan University (original) (raw)

Zuxuan Wu

Associate Professor
The Institute of Trustworthy Embodied Artificial Intelligence
Fudan University

Biography

I am an Associate Professor at Fudan University, and a member of the Fudan Vision and Learning Laboratory. I recieved my Ph.D. in Computer Science from the University of Maryland with Prof. Larry Davis in 2020. My research interests are in computer vision and deep learning. My current research particularly focuses on large-scale video understanding, video generation, and efficient architectures.

I'm currently looking for students with strong coding skills who are excited to design algorithms for visual understanding. If you are interested in working with me, please send me an email.

Publication

• Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction Tuning.
  Advances in Neural Information Processing Systems (NeurIPS), San Diego, USA, Dec., 2025.
  Wujian Peng, Lingchen Meng, Yitong Chen, Yiweng Xie, Yang Liu, Tao Gui, Hang Xu, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang

• ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection.
  Advances in Neural Information Processing Systems (NeurIPS), San Diego, USA, Dec., 2025.

• Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic Control.
  Advances in Neural Information Processing Systems (NeurIPS), San Diego, USA, Dec., 2025.
  Danfeng li, Hui Zhang, Sheng Wang, Jiacheng Li, Zuxuan Wu

• UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation.
  Advances in Neural Information Processing Systems (NeurIPS), San Diego, USA, Dec., 2025.
  Rui Tian, Mingfei Gao, Mingze Xu, Jiaming Hu, Jiasen Lu, Zuxuan Wu, Yinfei Yang, Afshin Dehghan

• OmniGen-AR: AutoRegressive Any-to-Image Generation.
  Advances in Neural Information Processing Systems (NeurIPS), San Diego, USA, Dec., 2025.
  Junke Wang, Xun Wang, Qiushan Guo, Peize Sun, Weilin Huang, Zuxuan Wu, Yu-Gang Jiang

• MagicMotion: Controllable Video Generation with Dense-to-Sparse Trajectory Guidance.
  International Conference on Computer Vision (ICCV), Hawaii, USA, Oct., 2025.
  Quanhao Li, Zhen Xing, Rui Wang, Hui Zhang, Qi Dai, Zuxuan Wu

• MotionFollower: Editing Video Motion via Score-Guided Diffusion.
  International Conference on Computer Vision (ICCV), Hawaii, USA, Oct., 2025.
  Shuyuan Tu, Qi Dai, Zihao Zhang, Sicheng Xie, Zhi-Qi Cheng, Chong Luo, Xintong Han, Zuxuan Wu, Yu-Gang Jiang

• REDUCIO! Generating 1K Video within 16 Seconds using Extremely Compressed Motion Latents.
  International Conference on Computer Vision (ICCV), Hawaii, USA, Oct., 2025.
  Rui Tian, Qi Dai, Jianmin Bao, Kai Qiu, Yifan Yang, Chong Luo, Zuxuan Wu, Yu-Gang Jiang

• AID: Adapting Image2Video Diffusion Models for Instruction-guided Video Prediction.
  International Conference on Computer Vision (ICCV), Hawaii, USA, Oct., 2025.
  Zhen Xing, Qi Dai, Zejia Weng, Zuxuan Wu, Yu-Gang Jiang

• VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks.
  International Conference on Computer Vision (ICCV), Hawaii, USA, Oct., 2025.
  Shiduo Zhang, Zhe Xu, Peiju Liu, Xiaopeng Yu, Yuan Li, Qinghui Gao, Zhaoye Fei, Zhangyue Yin, Zuxuan Wu, Yu-Gang Jiang, Xipeng Qiu

• Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training.
  International Conference on Computer Vision (ICCV), Hawaii, USA, Oct., 2025.
  Zhenxin Li, Shihao Wang, Shiyi Lan, Zhiding Yu, Zuxuan Wu, Jose M. Alvarez

• Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning.
  International Conference on Computer Vision (ICCV), Hawaii, USA, Oct., 2025.
  Haoran Chen, Ping Wang, Zihan Zhou, Xu Zhang, Zuxuan Wu, Yu-Gang Jiang

• CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation.
  International Conference on Computer Vision (ICCV), Hawaii, USA, Oct., 2025.
  Hui Zhang, Dexiang Hong, Yitong Wang, Jie Shao, Xinglong Wu, Zuxuan Wu, Yu-Gang Jiang

• Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis.
  International Conference on Computer Vision (ICCV), Hawaii, USA, Oct., 2025.
  Peng Zheng, Junke Wang, Yi Chang, Yizhou Yu, Rui Ma, Zuxuan Wu

• EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolation.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, USA, June, 2025.
  Zihao Zhang, Haoran Chen, Haoyu Zhao, Guansong Lu, Yanwei Fu, Hang Xu, Zuxuan Wu

• BlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion Transformers.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, USA, June, 2025.
  Hui Zhang, Tingwei Gao, Jie Shao, Zuxuan Wu

• StableAnimator: High-Quality Identity-Preserving Human Image Animation.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, USA, June, 2025.
  Shuyuan Tu, Zhen Xing, Xintong Han, Zhi-Qi Cheng, Qi Dai, Chong Luo, Zuxuan Wu

• SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation.
  European Conference on Computer Vision (ECCV), Milano, Italy, Sept., 2024.
  Lingchen Meng, Shiyi Lan, Hengduo Li, Jose M. Alvarez, Zuxuan Wu, Yu-Gang Jiang

• PromptFusion: Decoupling Stability and Plasticity for Continual Learning.
  European Conference on Computer Vision (ECCV), Milano, Italy, Sept., 2024.
  Haoran Chen, Zuxuan Wu, Xintong Han, Menglin Jia, Yu-Gang Jiang

• MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and Editing.
  European Conference on Computer Vision (ECCV), Milano, Italy, Sept., 2024.
  Haoyu Zhao, Tianyi Lu, Jiaxi Gu, Xing Zhang, Qingping Zheng, Zuxuan Wu, Hang Xu, Yu-Gang Jiang

• OmniViD: A Generative Framework for Universal Video Understanding.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June, 2024.
  Junke Wang, Dongdong Chen, Chong Luo, Bo He, Lu Yuan, Zuxuan Wu, Yu-Gang Jiang

• MotionEditor: Editing Video Motion via Content-Aware Diffusion.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June, 2024.code
  Shuyuan Tu, Qi Dai, Zhi-Qi Cheng, Han Hu, Xintong Han, Zuxuan Wu, Yu-Gang Jiang

• SimDA: Simple Diffusion Adapter for Efficient Video Generation.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June, 2024.
  Zhen Xing, Qi Dai, Han Hu, Zuxuan Wu, Yu-Gang Jiang

• Learning to Rank Patches for Unbiased Image Redundancy Reduction.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June, 2024.
  Yang Luo, Zhineng Chen, Peng Zhou, Zuxuan Wu, Xieping Gao, Yu-Gang Jiang

• Synthesize Diagnose and Optimize: Towards Fine-Grained Vision-Language Understanding.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June, 2024. code
  Wujian Peng, Sicheng Xie, Zuyao You, Shiyi Lan, Zuxuan Wu

• BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June, 2024.
  Zhenxin Li, Shiyi Lan, Jose M. Alvarez, Zuxuan Wu

• Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation.
  Advances in Neural Information Processing Systems (NeurIPS), New Orleans, USA, Dec., 2023.
  Haoran Chen, Xintong Han, Zuxuan Wu, Yu-Gang Jiang

• Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection.
  Advances in Neural Information Processing Systems (NeurIPS), New Orleans, USA, Dec., 2023. code
  Lingchen Meng, Xiyang Dai, Jianwei Yang, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Yi-Ling Chen, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang

• Implicit Temporal Modeling with Learnable Alignment for Video Recognition.
  International Conference on Computer Vision (ICCV), Paris, France, Oct., 2023 (Oral) code
  Shuyuan Tu, Qi Dai, Zuxuan Wu, Zhi-Qi Cheng, Han Hu, Yu-Gang Jiang

• Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization.
  International Conference on Machine Learning (ICML), Hawaii, USA, July, 2023
  Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang

• ResFormer: Scaling ViTs with Multi-Resolution Training.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June, 2023
  Rui Tian, Zuxuan Wu, Qi Dai, Han Hu, Yu Qiao, Yu-Gang Jiang

• SVFormer: Semi-Supervised Video Transformer for Action Recognition.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June, 2023
  Zhen Xing, Qi Dai, Han Hu, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang

• Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June, 2023
  Lingchen Meng, Xiyang Dai, Yinpeng Chen, Pengchuan Zhang, Dongdong Chen, Mengchen Liu, Jianfeng Wang, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang

• Look Before You Match: Instance Understanding Matters in Video Object Segmentation.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June, 2023
  Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Chuanxin Tang, Xiyang Dai, Yucheng Zhao, Yujia Xie, Lu Yuan, Yu-Gang Jiang

• Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June, 2023
  Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Lu Yuan, Yu-Gang Jiang

• Prototypical Residual Networks for Anomaly Detection and Localization.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June, 2023
  Hui Zhang, Zuxuan Wu, Zheng Wang, Zhineng Chen, Yu-Gang Jiang

• Enhancing the Self-Universality for Transferable Targeted Attacks.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June, 2023
  Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang

• Vision Transformers are Good Mask Auto-Labelers.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June, 2023
  Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, Jose M. Alvarez, Anima Anandkumar

• Towards Scalable Neural Representation for Diverse Videos.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June, 2023
  Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava

• Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning.
  The AAAI Conference on Artificial Intelligence (AAAI), Washington DC, USA, Feb., 2023
  Bingchen Huang, Zhineng Chen, Peng Zhou, Jiayin Chen, Zuxuan Wu

• OmniVL: One Foundation Model for Image-Language and Video-Language Tasks.
  Advances in Neural Information Processing Systems (NeurIPS), New Orleans, USA, Dec., 2022.
  Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Luowei Zhou, Yucheng Zhao, Yujia Xie, Ce Liu, Yu-Gang Jiang, Lu Yuan

• Semi-Supervised Vision Transformers.
  European Conference on Computer Vision (ECCV), Tel Aviv, October, 2022. code
  Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang

• Efficient Video Transformers with Spatial-Temporal Token Selection.
  European Conference on Computer Vision (ECCV), Tel Aviv, October, 2022. code
  Junke Wang, Xitong Yang, Hengduo Li, Li Liu, Zuxuan Wu, Yu-Gang Jiang

• Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors.
  European Conference on Computer Vision (ECCV), Tel Aviv, October, 2022. code
  Zhen Xing, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang

• BEVT: BERT Pretraining of Video Transformers.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, June, 2022 code
  Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Yu-Gang Jiang, Luowei Zhou, Lu Yuan

• Cross-Modal Transferable Adversarial Attacks from Images to Videos.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, June, 2022
  Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang

• AdaViT: Adaptive Vision Transformers for Efficient Image Recognition.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, June, 2022
  Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim

• ObjectFormer for Image Manipulation Detection and Localization.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, June, 2022
  Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang

• Flag: Adversarial data augmentation for graph neural networks.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, June, 2022
  Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein

• Boosting the Transferability of Video Adversarial Examples via Temporal Translation.
  The AAAI Conference on Artificial Intelligence (AAAI), Virtual, Feb., 2022
  Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang

• Attacking Video Recognition Models with Bullet-Screen Comments.
  The AAAI Conference on Artificial Intelligence (AAAI), Virtual, Feb., 2022
  Kaichen, Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang

• Towards Transferable Adversarial Attacks on Vision Transformers.
  The AAAI Conference on Artificial Intelligence (AAAI), Virtual, Feb., 2022
  Zhipeng Wei, Jingjing Chen, Micah Goldblum, Zuxuan Wu, Tom Goldstein, Yu-Gang Jiang

• Rethinking Pseudo Labels for Semi-Supervised Object Detection.
  The AAAI Conference on Artificial Intelligence (AAAI), Virtual, Feb., 2022
  Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry Davis

• Encoding Robustness to Image Style via Adversarial Feature Perturbations.
  Advances in Neural Information Processing Systems (NeurIPS), Virtual, Dec., 2021.
  Manli Shu, Zuxuan Wu, Micah Goldblum, Tom Goldstein

• Deep Video Inpainting Detection.
  British Machine Vision Conference (BMVC), Virtual, Oct., 2021
  Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim

• GTA: Global Temporal Attention for Video Action Understanding.
  British Machine Vision Conference (BMVC), Virtual, Oct., 2021
  Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava

• VideoLT: Large-scale Long-tailed Video Recognition.
  International Conference on Computer Vision (ICCV), Virtual, Oct., 2021
  Xing Zhang, Zuxuan Wu, Zejia Weng, Huazhu Fu, Jingjing Chen, Yu-Gang Jiang, Larry Davis

• Exploring Visual Engagement Signals for Representation Learning.
  International Conference on Computer Vision (ICCV), Virtual, Oct., 2021
  Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge Belongie, Ser-Nam Lim

• 2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June, 2021
  Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis

• Intentonomy: a Dataset and Study towards Human Intent Understanding.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June, 2021 (Oral) code
  Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge Belongie, Ser-Nam Lim

• Efficient Object Embedding for Manipulated Image Retrieval.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June, 2021
  Bor-Chun Chen, Zuxuan Wu, Larry S. Davis, Ser-Nam Lim

• Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors.
  European Conference on Computer Vision (ECCV), Virtual, August, 2020. code
  Zuxuan Wu, Ser-Nam Lim, Larry S. Davis, Tom Goldstein

• Learning from Noisy Anchors for One-stage Object Detection.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June, 2020
  Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis

• LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition.
  Advances in Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec., 2019. code
  Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis

• FiNet: Compatible and Diverse Fashion Image Inpainting.
  International Conference on Computer Vision (ICCV), Seoul, Korea, Oct., 2019. (Oral)
  Xintong Han, Zuxuan Wu, Weilin Huang, Matthew R. Scott, Larry S. Davis

• ACE: Adapting to Changing Environments for Semantic Segmentation.
  International Conference on Computer Vision (ICCV), Seoul, Korea, Oct., 2019
  Zuxuan Wu, Xin Wang, Joseph E. Gonzalez, Tom Goldstein, Larry S. Davis

• AdaFrame: Adaptive Frame Selection for Fast Video Recognition.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, June, 2019
  Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S Davis

• The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, June, 2019
  Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira

• Visual Content Recognition by Exploiting Semantic Feature Map with Attention and Multi-task Learning.
  ACM Trans. Multimedia Comput. Commun (ACM TOMM), vol. 15, issue 1, pp. 6:1-6:22, 2019.
  Rui-Wei Zhao, Qi Zhang, Zuxuan Wu, Jianguo Li, Yu-Gang Jiang

• Self-Monitoring Navigation Agent via Auxiliary Progress Estimation.
  International Conference on Learning Representations (ICLR), New Orleans, USA, May, 2019
  Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong

• DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation.
  European Conference on Computer Vision (ECCV), Munich, Germany, September, 2018. code
  Zuxuan Wu, Xintong Han, Yen-Liang Lin, Mustafa Gkhan Uzunbas, Tom Goldstein, Ser Nam Lim, Larry S. Davis

• BlockDrop: Dynamic Inference Paths in Residual Networks.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, June, 2018. (Spotlight) code
  Zuxuan Wu*, Tushar Nagarajan*, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogerio Feris (* denotes equal contribution)

• VITON: An Image-based Virtual Try-on Network.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, June, 2018. (Spotlight) code
  Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, Larry S. Davis

• Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 40, Issue 2, pp. 352-364, 2018.
  Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang
  Fudan-Columbia Video Dataset (FCVID), one of the largest public Web video datasets with manual annotations.

• Deep Learning for Video Classification and Video Captioning.
  In Frontiers of Multimedia Research, Shih-Fu Chang (Ed.), ACM Morgan & Claypool, New York, NY, USA, pp. 3-29, 2018
  Zuxuan Wu, Ting Yao, Yanwei Fu, Yu-Gang Jiang
  Surveying 100+ recent literatures on video classification and captioning with deep learning.

• Weakly-Supervised Spatial Context Networks.
  arXiv preprint arXiv:1704.02998
  Zuxuan Wu, Larry S. Davis, Leonid Sigal

• Automatic Spatially-aware Fashion Concept Discovery.
  International Conference on Computer Vision (ICCV), Venice, Italy, Oct., 2017
  Xintong Han, Zuxuan Wu, Phoenix Huang, Xiao Zhang, Menglong Zhu, Yuan Li, Yang Zhao, Larry S. Davis

• Learning Fashion Compatibility with Bidirectional LSTMs.
  ACM Multimedia (ACM MM), Mountain View, USA, Oct., 2017
  Xintong Han, Zuxuan Wu, Yu-Gang Jiang, Larry S. Davis

• Learning Semantic Feature Map for Visual Content Recognition.
  ACM Multimedia (ACM MM), Mountain View, USA, Oct., 2017
  Rui-Wei Zhao, Zuxuan Wu, Jianguo Li, Yu-Gang Jiang

• Harnessing Object and Scene Semantics for Large-Scale Video Understanding.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, USA, June, 2016. (Spotlight)
  Zuxuan Wu, Yanwei Fu, Yu-Gang Jiang, Leonid Sigal
  Featured in Tech2, ACM Technews

• Multi-Stream Multi-Class Fusion of Deep Networks for Video Classification.
  ACM Multimedia (ACM MM), Amsterdam, the Netherlands, Oct., 2016. (Oral Paper)
  Zuxuan Wu, Yu-Gang Jiang, Xi Wang, Hao Ye, Xiangyang Xue

• Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification.
  ACM Multimedia (ACM MM), Brisbane, Australia, Oct., 2015. (Oral Paper)
  Zuxuan Wu, Xi Wang, Yu-Gang Jiang, Hao Ye, Xiangyang Xue
  Obtain 91.3% accuracy on the UCF-101 dataset.

• Evaluating Two-Stream CNN for Video Classification.
  ACM International Conference on Multimedia Retrieval (ICMR), Shanghai, China, June, 2015 motion CNN model
  Hao Ye, Zuxuan Wu, Rui-Wei Zhao, Xi Wang, Yu-Gang Jiang, Xiangyang Xue

• Exploring Inter-feature and Inter-class Relationships with Deep Neural Networks for Video Classification.
  ACM Multimedia (ACM MM), Orlando, USA, Nov., 2014. (Oral Paper)
  Zuxuan Wu, Yu-Gang Jiang, Jun Wang, Jian Pu, Xiangyang Xue

Professional Service

• Associate Editor:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Multimedia
• Area Chair:
  • Advances in Neural Information Processing Systems 2023-2025
  • IEEE Conference on Computer Vision and Pattern Recognition 2023-2026
• Senior Program Committee:
  • AAAI Conference on Artificial Intelligenc 2023-2024
  • International Joint Conference on Artificial Intelligence 2023