| 2026 | AAAI | Arbitrary-Scale 3D Gaussian Super-Resolution. | Huimin Zeng, Yue Bai, Yun Fu |
| 2026 | ACL | Hierarchical Visual Agent: Managing Contexts in Joint Image-Text Space for Advanced Chart Reasoning. | Qihua Dong, Ruozhen He, Junwen Chen, Yizhou Wang, Xu Ma, Songyao Jiang, Yun Fu |
| 2026 | ACL | Revealing the Seen, Imagining the Beyond: A Survey of Image-Grounded Chain-of-Thought Reasoning in Multimodal LLMs. | Qihua Dong, Yitian Zhang, Huimin Zeng, Yizhou Wang, Jianglin Lu, Kuo Yang, Yun Fu |
| 2026 | ACL | Distorted or Fabricated? A Survey on Hallucination in Video LLMs. | Yiyang Huang, Yitian Zhang, Yizhou Wang, Mingyuan Zhang, Liang Shi, Huimin Zeng, Yun Fu |
| 2026 | ACL | Towards Unified Multimodal Large Language Models: A survey. | Xu Ma, Yitian Zhang, Yun Fu |
| 2026 | ACL | From Words to Pixels: A Comprehensive Survey on Large Language Models in Visual Segmentation. | Yizhou Wang, Mang Tik Chiu, Lingzhi Zhang, Xuan Shen, Sohrab Amirghodsi, Yun Fu |
| 2026 | ACL | UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning. | Yifan Wang, Yun Fu |
| 2026 | ACL | ACBQ: Adaptive Cross-Block Quantization of Large Language Models. | Hailing Wang, Jianglin Lu, Yitian Zhang, Huimin Zeng, Yun Fu |
| 2026 | ACL | NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise. | Zhi Xu, Yun Fu |
| 2025 | ACL | Cautious Next Token Prediction. | Yizhou Wang, Lingzhi Zhang, Yue Bai, Mang Tik Chiu, Zhengmian Hu, Mingyuan Zhang, Qihua Dong, Yu Yin, Sohrab Amirghodsi, Yun Fu |
| 2025 | EMNLP | D-CoDe: Scaling Image-Pretrained VLMs to Video via Dynamic Compression and Question Decomposition. | Yiyang Huang, Yizhou Wang, Yun Fu |
| 2025 | EMNLP | Representation Potentials of Foundation Models for Multimodal Alignment: A Survey. | Jianglin Lu, Hailing Wang, Yi Xu, Yizhou Wang, Kuo Yang, Yun Fu |
| 2025 | ICCV | RealTalk: Realistic Emotion-Aware Lifelike Talking-Head Synthesis. | Wenqing Wang, Yun Fu |
| 2025 | ICCV | Outlier-Aware Post-Training Quantization for Image Super-Resolution. | Hailing Wang, Jianglin Lu, Yitian Zhang, Yun Fu |
| 2025 | ICCV | REGEN: Learning Compact Video Embedding with (Re-)Generative Decoder. | Yitian Zhang, Long Mai, Aniruddha Mahapatra, David Bourgin, Yicong Hong, Jonah Casebeer, Feng Liu, Yun Fu |
| 2025 | ICDM | AdaSports-Traj: Role- and Domain-Aware Adaptation for Multi-Agent Trajectory Modeling in Sports. | Yi Xu, Yun Fu |
| 2025 | ICDM | MTS-DMAE: Dual-Masked Autoencoder for Unsupervised Multivariate Time Series Representation Learning. | Yi Xu, Yitian Zhang, Yun Fu |
| 2025 | ICLR | Scale-Free Graph-Language Models. | Jianglin Lu, Yixuan Liu, Yitian Zhang, Yun Fu |
| 2025 | ICLR | Sports-Traj: A Unified Trajectory Generation Model for Multi-Agent Movement in Sports. | Yi Xu, Yun Fu |
| 2025 | ICLR | Accessing Vision Foundation Models via ImageNet-1K. | Yitian Zhang, Xu Ma, Yue Bai, Huan Wang, Yun Fu |
| 2025 | IJCNN | Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models. | Zhanwen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li |
| 2025 | WACV | Towards Zero-shot 3D Anomaly Localization. | Yizhou Wang, Kuan-Chuan Peng, Yun Fu |
| 2024 | AAAI | SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution. | Xiaotong Luo, Yuan Xie, Yanyun Qu, Yun Fu |
| 2024 | AAAI | AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution. | Xiaotong Luo, Zekun Ai, Qiuyuan Liang, Ding Liu, Yuan Xie, Yanyun Qu, Yun Fu |
| 2024 | CVPR | Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering. | Zaid Khan, Yun Fu |
| 2024 | CVPR | Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement. | Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Yun Fu, Manmohan Chandraker |
| 2024 | CVPR | OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising. | Haichao Zhang, Yi Xu, Hongsheng Lu, Takayuki Shimizu, Yun Fu |
| 2024 | CVPR | Adapting to Length Shift: FlexiLength Network for Trajectory Prediction. | Yi Xu, Yun Fu |
| 2024 | CVPR | Rewrite the Stars. | Xu Ma, Xiyang Dai, Yue Bai, Yizhou Wang, Yun Fu |
| 2024 | ECCV | LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field. | Huan Wang, Feitong Tan, Ziqian Bai, Yinda Zhang, Shichen Liu, Qiangeng Xu, Menglei Chai, Anish Prabhu, Rohit Pandey, Sean Fanello, Zeng Huang, Yun Fu |
| 2024 | EMNLP | Advancing Vision-Language Models with Adapter Ensemble Strategies. | Yue Bai, Handong Zhao, Zhe Lin, Ajinkya Kale, Jiuxiang Gu, Tong Yu, Sungchul Kim, Yun Fu |
| 2024 | ICLR | Efficient Modulation for Vision Networks. | Xu Ma, Xiyang Dai, Jianwei Yang, Bin Xiao, Yinpeng Chen, Yun Fu, Lu Yuan |
| 2024 | ICLR | Don't Judge by the Look: Towards Motion Coherent Video Representation. | Yitian Zhang, Yue Bai, Huan Wang, Yizhou Wang, Yun Fu |
| 2024 | WWW | Aligning Out-of-Distribution Web Images and Caption Semantics via Evidential Learning. | Guohao Sun, Yue Bai, Xueying Yang, Yi Fang, Yun Fu, Zhiqiang Tao |
| 2024 | UAI | α-Former: Local-Feature-Aware (L-FA) Transformer. | Zhi Xu, Bin Sun, Yue Bai, Yun Fu |
| 2024 | SDM | Ada-VAD: Domain Adaptable Video Anomaly Detection. | Dongliang Guo, Yun Fu, Sheng Li |
| 2023 | AAAI | Hybrid Pixel-Unshuffled Network for Lightweight Image Super-resolution. | Bin Sun, Yulun Zhang, Songyao Jiang, Yun Fu |
| 2023 | AAAI | Layout Representation Learning with Spatial and Structural Hierarchies. | Yue Bai, Dipu Manandhar, Zhaowen Wang, John P. Collomosse, Yun Fu |
| 2023 | CVPR | Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! | Zaid Khan, B. G. Vijay Kumar, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker |
| 2023 | CVPR | Real-Time Neural Light Field on Mobile Devices. | Junli Cao, Huan Wang, Pavlo Chemerys, Vladislav Shakhrai, Ju Hu, Yun Fu, Denys Makoviichuk, Sergey Tulyakov, Jian Ren |
| 2023 | CVPR | Improving Cross-Domain Detection with Self-Supervised Learning. | Kai Li, Curtis Wigington, Chris Tensmeyer, Vlad I. Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, Yun Fu |
| 2023 | CVPR | Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction. | Yi Xu, Armin Bazarjani, Hyung-Gun Chi, Chiho Choi, Yun Fu |
| 2023 | CVPR | NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-Shot Real Image Animation. | Yu Yin, Kamran Ghasedi, HsiangTao Wu, Jiaolong Yang, Xin Tong, Yun Fu |
| 2023 | CVPR | Frame Flexible Network. | Yitian Zhang, Yue Bai, Chang Liu, Huan Wang, Sheng Li, Yun Fu |
| 2023 | ICCV | Efficient Converted Spiking Neural Network for 3D and 2D Classification. | Yuxiang Lan, Yachao Zhang, Xu Ma, Yanyun Qu, Yun Fu |
| 2023 | ICCV | BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation. | Miaoyu Li, Yachao Zhang, Xu Ma, Yanyun Qu, Yun Fu |
| 2023 | ICCV | GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. | Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu |
| 2023 | ICCV | Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. | Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao |
| 2023 | ICDM | Momentum is All You Need for Data-Driven Adaptive Optimization. | Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, Yun Fu |
| 2023 | ICDM | Concentric Ring Loss for Face Forgery Detection. | Yu Yin, Yue Bai, Yizhou Wang, Yun Fu |
| 2023 | ICLR | Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning. | Zaid Khan, Yun Fu |
| 2023 | ICLR | Image as Set of Points. | Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu |
| 2023 | ICLR | Discovering Informative and Robust Positives for Video Domain Adaptation. | Chang Liu, Kunpeng Li, Michael Stopa, Jun Amano, Yun Fu |
| 2023 | ICLR | Trainability Preserving Neural Pruning. | Huan Wang, Yun Fu |
| 2022 | AAAI | Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts. | Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister |
| 2022 | CIKM | Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection. | Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu |
| 2022 | CIKM | Robust Semi-supervised Domain Adaptation against Noisy Labels. | Can Qin, Yizhou Wang, Yun Fu |
| 2022 | CVPR | Learning to Learn across Diverse Data Biases in Deep Face Recognition. | Chang Liu, Xiang Yu, Yi-Hsuan Tsai, Masoud Faraki, Ramin Moslemi, Manmohan Chandraker, Yun Fu |
| 2022 | CVPR | Towards Layer-wise Image Vectorization. | Xu Ma, Yuqian Zhou, Xingqian Xu, Bin Sun, Valerii Filev, Nikita Orlov, Yun Fu, Humphrey Shi |
| 2022 | CVPR | Adaptive Trajectory Prediction via Transferable GNN. | Yi Xu, Lichen Wang, Yizhou Wang, Yun Fu |
| 2022 | ECCV | Single-Stream Multi-level Alignment for Vision-Language Pretraining. | Zaid Khan, B. G. Vijay Kumar, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu |
| 2022 | ECCV | R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis. | Huan Wang, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai, Yun Fu, Sergey Tulyakov |
| 2022 | ICDM | Making Reconstruction-based Method Great Again for Video Anomaly Detection. | Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu |
| 2022 | ICLR | Dual Lottery Ticket Hypothesis. | Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu |
| 2022 | ICLR | Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework. | Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, Yun Fu |
| 2022 | ICLR | Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning. | Yulun Zhang, Huan Wang, Can Qin, Yun Fu |
| 2022 | IJCAI | MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning. | Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu |
| 2022 | IJCAI | Recent Advances on Neural Network Pruning at Initialization. | Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu |
| 2022 | IJCAI | Test-time Fourier Style Calibration for Domain Generalization. | Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu |
| 2022 | KDD | External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. | Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu |
| 2022 | SMC | A new generation method of basic probability assignment based on the normal membership function. | Yun Fu, Yongchuan Tang, Deyun Zhou |
| 2022 | SDM | Meta Adversarial Weight for Unsupervised Domain Adaptation. | Chang Liu, Lichen Wang, Yun Fu |
| 2022 | SDM | Collaborative Attention Mechanism for Multi-Modal Time Series Classification. | Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu |
| 2021 | AAAI | Correlative Channel-Aware Fusion for Multi-View Time Series Classification. | Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu |
| 2021 | CHI | VINS: Visual Search for Mobile User Interface Design. | Sara Bunian, Kai Li, Chaima Jemmali, Casper Harteveld, Yun Fu, Magy Seif El-Nasr |
| 2021 | CVPR | Skeleton Aware Multi-Modal Sign Language Recognition. | Songyao Jiang, Bin Sun, Lichen Wang, Yue Bai, Kunpeng Li, Yun Fu |
| 2021 | CVPR | MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network. | Yulun Zhang, Kai Li, Kunpeng Li, Yun Fu |
| 2021 | ICCV | ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation. | Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu |
| 2021 | ICCV | Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution. | Salma Abdel Magid, Yulun Zhang, Donglai Wei, Won-Dong Jang, Zudi Lin, Yun Fu, Hanspeter Pfister |
| 2021 | ICCV | Context Reasoning Attention Network for Image Super-Resolution. | Yulun Zhang, Donglai Wei, Can Qin, Huan Wang, Hanspeter Pfister, Yun Fu |
| 2021 | ICDM | Aspect-based Sentiment Classification via Reinforcement Learning. | Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu |
| 2021 | ICLR | Neural Pruning via Growing Regularization. | Huan Wang, Can Qin, Yulun Zhang, Yun Fu |
| 2021 | SDM | Contradictory Structure Learning for Semi-supervised Domain Adaptation. | Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu |
| 2020 | AAAI | Lifelong Spectral Clustering. | Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu |
| 2020 | AAAI | Dual Relation Semi-Supervised Multi-Label Learning. | Lichen Wang, Yunyu Liu, Can Qin, Gan Sun, Yun Fu |
| 2020 | AAAI | Joint Super-Resolution and Alignment of Tiny Faces. | Yu Yin, Joseph P. Robinson, Yulun Zhang, Yun Fu |
| 2020 | CVPR | Rethinking Classification and Localization for Object Detection. | Yue Wu, Yinpeng Chen, Lu Yuan, Zicheng Liu, Lijuan Wang, Hongzhi Li, Yun Fu |
| 2020 | CVPR | Adversarial Feature Hallucination Networks for Few-Shot Learning. | Kai Li, Yulun Zhang, Kunpeng Li, Yun Fu |
| 2020 | CVPR | Screencast Tutorial Video Understanding. | Kunpeng Li, Chen Fang, Zhaowen Wang, Seokhwan Kim, Hailin Jin, Yun Fu |
| 2020 | CVPR | Cross-Domain Document Object Detection: Benchmark Suite and Method. | Kai Li, Curtis Wigington, Chris Tensmeyer, Handong Zhao, Nikolaos Barmpalios, Vlad I. Morariu, Varun Manjunatha, Tong Sun, Yun Fu |
| 2020 | CVPR | HyperSTAR: Task-Aware Hyperparameters for Deep Networks. | Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu |
| 2020 | CVPR | Face Recognition: Too Bias, or Not Too Bias? | Joseph P. Robinson, Gennady Livitz, Yann Henon, Can Qin, Yun Fu, Samson Timoner |
| 2020 | CVPR | TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution. | Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu |
| 2020 | CVPR | Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution. | Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu |
| 2020 | ECCV | Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection. | Shuhan Chen, Yun Fu |
| 2020 | ECCV | Generative View-Correlation Adaptation for Semi-supervised Multi-view Learning. | Yunyu Liu, Lichen Wang, Yue Bai, Can Qin, Zhengming Ding, Yun Fu |
| 2020 | ECCV | LatticeNet: Towards Lightweight Image Super-Resolution with Lattice Block. | Xiaotong Luo, Yuan Xie, Yulun Zhang, Yanyun Qu, Cuihua Li, Yun Fu |
| 2020 | ECCV | Texture Hallucination for Large-Factor Painting Super-Resolution. | Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria, Yun Fu |
| 2020 | ICDM | Dual-Side Auto-Encoder for High-Dimensional Time Series Segmentation. | Yue Bai, Lichen Wang, Yunyu Liu, Yu Yin, Yun Fu |
| 2020 | ICLR | Inductive and Unsupervised Representation Learning on Graph Structured Objects. | Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu |
| 2019 | AAAI | Structured and Sparse Annotations for Image Emotion Distribution Learning. | Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu |
| 2019 | CIKM | On Novel Object Recognition: A Unified Framework for Discriminability and Adaptability. | Kai Li, Martin Renqiang Min, Bing Bai, Yun Fu, Hans Peter Graf |
| 2019 | CVPR | NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. | Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Xiao Liu, Chao Li, Dongliang He, Yukang Ding, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwan-Young Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, Ahmet Murat Tekalp, Mustafa Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo |
| 2019 | CVPR | Large Scale Incremental Learning. | Yue Wu, Yinpeng Chen, Lijuan Wang, Yuancheng Ye, Zicheng Liu, Yandong Guo, Yun Fu |
| 2019 | ICCV | Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective. | Kai Li, Martin Renqiang Min, Yun Fu |
| 2019 | ICCV | Visual Semantic Reasoning for Image-Text Matching. | Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu |
| 2019 | ICCV | Attention Bridging Network for Knowledge Transfer. | Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu |
| 2019 | ICCV | Laplace Landmark Localization. | Joseph P. Robinson, Yuncheng Li, Ning Zhang, Yun Fu, Sergey Tulyakov |
| 2019 | ICCV | Generative Multi-View Human Action Recognition. | Lichen Wang, Zhengming Ding, Zhiqiang Tao, Yunyu Liu, Yun Fu |
| 2019 | ICCV | Multimodal Style Transfer via Graph Cuts. | Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang |
| 2019 | ICDM | Generative Correlation Discovery Network for Multi-label Learning. | Lichen Wang, Zhengming Ding, Seungju Han, Jae-Joon Han, Changkyu Choi, Yun Fu |
| 2019 | ICLR | Residual Non-local Attention Networks for Image Restoration. | Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, Yun Fu |
| 2019 | IJCAI | Adversarial Graph Embedding for Ensemble Clustering. | Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu |
| 2019 | KDD | Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit. | Zhiqiang Tao, Sheng Li, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao, Yun Fu |
| 2018 | AAAI | Action Prediction From Videos via Memorizing Hard-to-Predict Samples. | Yu Kong, Shangqian Gao, Bin Sun, Yun Fu |
| 2018 | AAAI | Latent Discriminant Subspace Representations for Multi-View Outlier Detection. | Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu |
| 2018 | AAAI | Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification. | Kai Li, Zhengming Ding, Sheng Li, Yun Fu |
| 2018 | AAAI | Predictive Coding Machine for Compressed Sensing and Image Denoising. | Jun Li, Hongfu Liu, Yun Fu |
| 2018 | AAAI | Learning Transferable Subspace for Human Motion Segmentation. | Lichen Wang, Zhengming Ding, Yun Fu |
| 2018 | ACCV | Album to Family Tree: A Graph Based Method for Family Relationship Recognition. | Chao Xia, Siyu Xia, Ming Shao, Yun Fu |
| 2018 | BMVC | Deep Evolutionary 3D Diffusion Heat Maps for Large-pose Face Alignment. | Bin Sun, Ming Shao, Siyu Xia, Yun Fu |
| 2018 | CVPR | Tell Me Where to Look: Guided Attention Inference Network. | Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu |
| 2018 | CVPR | Residual Dense Network for Image Super-Resolution. | Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu |
| 2018 | ECCV | Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation. | Zhengming Ding, Sheng Li, Ming Shao, Yun Fu |
| 2018 | ECCV | Image Super-Resolution Using Very Deep Residual Channel Attention Networks. | Yulun Zhang, Kunpeng Li, Kai Li, Lichen Wang, Bineng Zhong, Yun Fu |
| 2018 | ICDM | Partial Multi-view Clustering via Consistent GAN. | Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu |
| 2018 | IJCAI | Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption. | Zhengming Ding, Ming Shao, Yun Fu |
| 2018 | IJCAI | Adaptive Graph Guided Embedding for Multi-label Annotation. | Lichen Wang, Zhengming Ding, Yun Fu |
| 2018 | WACV | Semantically Guided Visual Question Answering. | Handong Zhao, Quanfu Fan, Dan Gutfreund, Yun Fu |
| 2017 | AAAI | Examples-Rules Guided Deep Neural Network for Makeup Recommendation. | Taleb Alashkar, Songyao Jiang, Shuyang Wang, Yun Fu |
| 2017 | AAAI | Sparse Subspace Clustering by Learning Approximation ℓ0 Codes. | Jun Li, Yu Kong, Yun Fu |
| 2017 | AAAI | Simultaneous Clustering and Ensemble. | Zhiqiang Tao, Hongfu Liu, Yun Fu |
| 2017 | AAAI | Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity. | Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu |
| 2017 | AAAI | Feature Selection Guided Auto-Encoder. | Shuyang Wang, Zhengming Ding, Yun Fu |
| 2017 | AAAI | Multi-View Clustering via Deep Matrix Factorization. | Handong Zhao, Zhengming Ding, Yun Fu |
| 2017 | CVPR | Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning. | Zhengming Ding, Ming Shao, Yun Fu |
| 2017 | CVPR | Deep Sequential Context Networks for Action Prediction. | Yu Kong, Zhiqiang Tao, Yun Fu |
| 2017 | ICIP | Circle detection by arc-support line segments. | Changsheng Lu, Siyu Xia, Wanming Huang, Ming Shao, Yun Fu |
| 2017 | IJCAI | Fashion Style Generator. | Shuhui Jiang, Yun Fu |
| 2017 | IJCAI | Multi-Stream Deep Similarity Learning Networks for Visual Tracking. | Kunpeng Li, Yu Kong, Yun Fu |
| 2017 | IJCAI | Projective Low-rank Subspace Clustering via Learning Deep Encoder. | Jun Li, Hongfu Liu, Handong Zhao, Yun Fu |
| 2017 | IJCAI | Large-scale Subspace Clustering by Fast Regression Coding. | Jun Li, Handong Zhao, Zhiqiang Tao, Yun Fu |
| 2017 | IJCAI | From Ensemble Clustering to Multi-View Clustering. | Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu |
| 2016 | AAAI | Robust Multi-View Subspace Learning through Dual Low-Rank Decompositions. | Zhengming Ding, Yun Fu |
| 2016 | AAAI | Consensus Style Centralizing Auto-Encoder for Weak Style Classification. | Shuhui Jiang, Ming Shao, Chengcheng Jia, Yun Fu |
| 2016 | AAAI | Consensus Guided Unsupervised Feature Selection. | Hongfu Liu, Ming Shao, Yun Fu |
| 2016 | AAAI | Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation. | Ming Shao, Zhengming Ding, Handong Zhao, Yun Fu |
| 2016 | AAAI | Face Behind Makeup. | Shuyang Wang, Yun Fu |
| 2016 | AAAI | Pose-Dependent Low-Rank Embedding for Head Pose Estimation. | Handong Zhao, Zhengming Ding, Yun Fu |
| 2016 | CIKM | Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach. | Sheng Li, Yaliang Li, Yun Fu |
| 2016 | CIKM | Robust Spectral Ensemble Clustering. | Zhiqiang Tao, Hongfu Liu, Sheng Li, Yun Fu |
| 2016 | ECCV | Deep Robust Encoder Through Locality Preserving Low-Rank Dictionary. | Zhengming Ding, Ming Shao, Yun Fu |
| 2016 | ICASSP | Task-driven deep transfer learning for image classification. | Zhengming Ding, Nasser M. Nasrabadi, Yun Fu |
| 2016 | ICDM | Robust Multi-View Feature Selection. | Hongfu Liu, Haiyi Mao, Yun Fu |
| 2016 | ICDM | Structure-Preserved Multi-source Domain Adaptation. | Hongfu Liu, Ming Shao, Yun Fu |
| 2016 | IJCAI | Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns. | Sheng Li, Nikos Vlassis, Jaya Kawale, Yun Fu |
| 2016 | IJCAI | Coupled Marginalized Auto-Encoders for Cross-Domain Multi-View Learning. | Shuyang Wang, Zhengming Ding, Yun Fu |
| 2016 | IJCAI | Incomplete Multi-Modal Visual Data Grouping. | Handong Zhao, Hongfu Liu, Yun Fu |
| 2016 | IJCNN | Transfer learning for image classification with incomplete multiple sources. | Zhengming Ding, Ming Shao, Yun Fu |
| 2016 | IJCNN | Sparse alignment for video analysis in discriminant Tensor space. | Chengcheng Jia, Ming Shao, Yun Fu |
| 2016 | IJCNN | Unsupervised transfer learning via Low-Rank Coding for image clustering. | Sheng Li, Yun Fu |
| 2016 | IJCNN | Scalable large margin online metric learning. | Guoqiang Zhong, Yan Zheng, Sheng Li, Yun Fu |
| 2016 | KDD | Infinite Ensemble for Image Clustering. | Hongfu Liu, Ming Shao, Sheng Li, Yun Fu |
| 2015 | CIKM | Deep Collaborative Filtering via Marginalized Denoising Auto-encoder. | Sheng Li, Jaya Kawale, Yun Fu |
| 2015 | CVPR | Bilinear heterogeneous information machine for RGB-D action recognition. | Yu Kong, Yun Fu |
| 2015 | CVPR | Locality-constrained discriminative learning and coding. | Shuyang Wang, Yun Fu |
| 2015 | ICCV | Temporal Subspace Clustering for Human Motion Segmentation. | Sheng Li, Kang Li, Yun Fu |
| 2015 | ICDM | Clustering with Partition Level Side Information. | Hongfu Liu, Yun Fu |
| 2015 | ICDM | Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning. | Handong Zhao, Zhengming Ding, Ming Shao, Yun Fu |
| 2015 | IJCAI | Deep Low-Rank Coding for Transfer Learning. | Zhengming Ding, Ming Shao, Yun Fu |
| 2015 | IJCAI | Cross-View Projective Dictionary Learning for Person Re-Identification. | Sheng Li, Ming Shao, Yun Fu |
| 2015 | IJCAI | Deep Linear Coding for Fast Graph Clustering. | Ming Shao, Sheng Li, Zhengming Ding, Yun Fu |
| 2015 | IJCAI | Semantic Single Video Segmentation with Robust Graph Representation. | Handong Zhao, Yun Fu |
| 2015 | IJCAI | Dual-Regularized Multi-View Outlier Detection. | Handong Zhao, Yun Fu |
| 2015 | KDD | Spectral Ensemble Clustering. | Hongfu Liu, Tongliang Liu, Junjie Wu, Dacheng Tao, Yun Fu |
| 2015 | SIGIR | Predicting User Behavior in Display Advertising via Dynamic Collective Matrix Factorization. | Sheng Li, Jaya Kawale, Yun Fu |
| 2015 | SDM | Multi-View Low-Rank Analysis for Outlier Detection. | Sheng Li, Ming Shao, Yun Fu |
| 2015 | SDM | DIAS: A Disassemble-Assemble Framework for Highly Sparse Text Clustering. | Hongfu Liu, Junjie Wu, Dacheng Tao, Yuchao Zhang, Yun Fu |
| 2014 | AAAI | Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition. | Zhengming Ding, Ming Shao, Yun Fu |
| 2014 | ECCV | Modeling Supporting Regions for Close Human Interaction Recognition. | Yu Kong, Yun Fu |
| 2014 | ECCV | A Discriminative Model with Multiple Temporal Scales for Action Prediction. | Yu Kong, Dmitry Kit, Yun Fu |
| 2014 | ICDM | Low-Rank Common Subspace for Multi-view Learning. | Zhengming Ding, Yun Fu |
| 2014 | ICDM | Early Classification of Ongoing Observation. | Kang Li, Sheng Li, Yun Fu |
| 2014 | IJCNN | LASOM: Location Aware Self-Organizing Map for discovering similar and unique visual features of geographical locations. | Dmitry Kit, Yu Kong, Yun Fu |
| 2014 | IJCNN | Locality linear fitting one-class SVM with low-rank constraints for outlier detection. | Sheng Li, Ming Shao, Yun Fu |
| 2014 | SDM | Robust Subspace Discovery through Supervised Low-Rank Constraints. | Sheng Li, Yun Fu |
| 2013 | AAAI | Predicting Professions through Probabilistic Model under Social Context. | Ming Shao, Liangyue Li, Yun Fu |
| 2013 | ICCV | What Do You Do? Occupation Recognition in a Photo via Social Context. | Ming Shao, Liangyue Li, Yun Fu |
| 2013 | ICCV | Random Faces Guided Sparse Many-to-One Encoder for Pose-Invariant Face Recognition. | Yizhe Zhang, Ming Shao, Edward K. Wong, Yun Fu |
| 2013 | IJCAI | Low-Rank Coding with b-Matching Constraint for Semi-Supervised Classification. | Sheng Li, Yun Fu |
| 2012 | BMVC | A Videography Analysis Framework for Video Retrieval and Summarization. | Kang Li, Sangmin Oh, A. G. Amitha Perera, Yun Fu |
| 2012 | BMVC | Contour-HOG: A Stub Feature based Level Set Method for Learning Object Contour. | Zhi Yang, Yu Kong, Yun Fu |
| 2012 | ECCV | Learning Human Interaction by Interactive Phrases. | Yu Kong, Yunde Jia, Yun Fu |
| 2012 | ECCV | Modeling Complex Temporal Composition of Actionlets for Activity Prediction. | Kang Li, Jie Hu, Yun Fu |
| 2012 | ICDM | Low-Rank Transfer Subspace Learning. | Ming Shao, Carlos Castillo, Zhenghong Gu, Yun Fu |
| 2012 | ICPR | Locality-constrained Low Rank Coding for face recognition. | Devansh Arpit, Gaurav Srivastava, Yun Fu |
| 2012 | ICPR | Discriminative metric: Schatten norm vs. vector norm. | Zhenghong Gu, Ming Shao, Liangyue Li, Yun Fu |
| 2012 | ICPR | ARMA-HMM: A new approach for early recognition of human activity. | Kang Li, Yun Fu |
| 2012 | ICPR | Evaluation of canonical correlation analysis: A Correlation Generation Model. | Ya Su, Shengjin Wang, Yun Fu |
| 2012 | ICPR | Submanifold decomposition. | Ya Su, Shengjin Wang, Yun Fu |
| 2012 | ICPR | Toward kinship verification using visual attributes. | Siyu Xia, Ming Shao, Yun Fu |
| 2012 | ICPR | Decomposed contour prior for shape recognition. | Zhi Yang, Yu Kong, Yun Fu |
| 2011 | CIKM | Simultaneous joint and conditional modeling of documents tagged from two perspectives. | Pradipto Das, Rohini K. Srihari, Yun Fu |
| 2011 | CVPR | Genealogical face recognition based on UB KinFace database. | Ming Shao, Si-Yu Xia, Yun Fu |
| 2011 | ICDM | Clustering Based Fast Low-Rank Approximation for Large-Scale Graph. | Wei Chen, Ming Shao, Yun Fu |
| 2011 | IJCAI | Kinship Verification through Transfer Learning. | Siyu Xia, Ming Shao, Yun Fu |
| 2010 | ACCV | Sparse Coding on Local Spatial-Temporal Volumes for Human Action Recognition. | Yan Zhu, Xu Zhao, Yun Fu, Yuncai Liu |
| 2010 | CVPR | A robust framework for multiview age estimation. | Zhen Li, Yun Fu, Thomas S. Huang |
| 2010 | CVPR | Bimodal gender recognition from face and fingerprint. | Xiong Li, Xu Zhao, Yun Fu, Yuncai Liu |
| 2010 | ICASSP | Multimodality gender estimation using Bayesian hierarchical model. | Xiong Li, Xu Zhao, Huanxi Liu, Yun Fu, Yuncai Liu |
| 2010 | ICASSP | Cross-database age estimation based on transfer learning. | Ya Su, Yun Fu, Qi Tian, Xinbo Gao |
| 2010 | ICFHR | Retrieving Handwriting Styles: A Content Based Approach to Handwritten Document Retrieval. | Anurag Bhardwaj, Achint Oommen Thomas, Yun Fu, Venu Govindaraju |
| 2010 | MMM | A Study on Sampling Strategies in Space-Time Domain for Recognition Applications. | Mert Dikmen, Dennis J. Lin, Andrey Del Pozo, Liangliang Cao, Yun Fu, Thomas S. Huang |
| 2010 | MMM | Subjective Experiments on Gender and Ethnicity Recognition from Different Face Representations. | Yuxiao Hu, Yun Fu, Usman Tariq, Thomas S. Huang |
| 2010 | MMM | Weak Metric Learning for Feature Fusion towards Perception-Inspired Object Recognition. | Xiong Li, Xu Zhao, Yun Fu, Yuncai Liu |
| 2009 | ACCV | Gender from Body: A Biologically-Inspired Approach with Manifold Learning. | Guodong Guo, Guowang Mu, Yun Fu |
| 2009 | ACCV | Temporal-Spatial Local Gaussian Process Experts for Human Pose Estimation. | Xu Zhao, Yun Fu, Yuncai Liu |
| 2009 | CVPR | Human age estimation using bio-inspired features. | Guodong Guo, Guowang Mu, Yun Fu, Thomas S. Huang |
| 2009 | ICCV | A study on automatic age estimation using a large database. | Guodong Guo, Guowang Mu, Yun Fu, Charles R. Dyer, Thomas S. Huang |
| 2008 | CVPR | A Probabilistic Fusion Approach to human age prediction. | Guodong Guo, Yun Fu, Charles R. Dyer, Thomas S. Huang |
| 2008 | CVPR | Non-negative graph embedding. | Jianchao Yang, Shuicheng Yan, Yun Fu, Xuelong Li, Thomas S. Huang |
| 2008 | ICASSP | Discriminant simplex analysis. | Yun Fu, Shuicheng Yan, Thomas S. Huang |
| 2008 | ICASSP | An audio-visual fusion framework with joint dimensionality reducton. | Ming Liu, Yun Fu, Thomas S. Huang |
| 2008 | ICASSP | Flexible X-Y patches for face recognition. | Ming Liu, Shuicheng Yan, Yun Fu, Thomas S. Huang |
| 2008 | ICASSP | 3D face analysis for distinct features using statistical randomization. | Chunxiao Zhou, Yuxiao Hu, Yun Fu, Huixia Judy Wang, Thomas S. Huang, Yongmei Michelle Wang |
| 2008 | ICIP | Correlation Embedding Analysis. | Yun Fu, Thomas S. Huang |
| 2008 | ICPR | Head pose estimation: Classification or regression? | Guodong Guo, Yun Fu, Charles R. Dyer, Thomas S. Huang |
| 2008 | WACV | Locally Adjusted Robust Regression for Human Age Estimation. | Guodong Guo, Yun Fu, Thomas S. Huang, Charles R. Dyer |
| 2008 | WACV | EAVA: A 3D Emotive Audio-Visual Avatar. | Hao Tang, Yun Fu, Jilin Tu, Thomas S. Huang, Mark Hasegawa-Johnson |
| 2008 | WACV | Variational Transform Invariant Mixture of Probabilistic PCA. | Jilin Tu, Yun Fu, Aleksandar Ivanovic, Thomas S. Huang, Li Fei-Fei |
| 2007 | CVPR | Conformal Embedding Analysis with Local Graph Modeling on the Unit Hypersphere. | Yun Fu, Ming Liu, Thomas S. Huang |
| 2007 | ICASSP | Unsupervised Locally Embedded Clustering for Automatic High-Dimensional Data Labeling. | Yun Fu, Thomas S. Huang |
| 2007 | ICIP | Laplacian Affinity Propagation for Semi-Supervised Object Classification. | Yun Fu, Zhu Li, Xi Zhou, Thomas S. Huang |
| 2007 | ICIP | Query-Driven Locally Adaptive Fisher Faces and Expert-Model for Face Recognition. | Yun Fu, Junsong Yuan, Zhu Li, Thomas S. Huang, Ying Wu |
| 2007 | ICIP | Lipreading by Locality Discriminant Graph. | Yun Fu, Xi Zhou, Ming Liu, Mark Hasegawa-Johnson, Thomas S. Huang |
| 2007 | ICIP | Common Spatial Pattern Discovery by Efficient Candidate Pruning. | Junsong Yuan, Zhu Li, Yun Fu, Ying Wu, Thomas S. Huang |
| 2007 | WACV | hMouse: Head Tracking Driven Virtual Computer Mouse. | Yun Fu, Thomas S. Huang |
| 2006 | ICMI | Audio-visual emotion recognition in adult attachment interview. | Zhihong Zeng, Yuxiao Hu, Yun Fu, Thomas S. Huang, Glenn I. Roisman, Zhen Wen |
| 2004 | ICIP | Merging ratio images based realistic object class re-rendering. | Yun Fu |
| 2004 | SMC | Facetransfer: a system model of facial image rendering. | Yun Fu, Nanning Zheng, Jianyi Liu, Ting Zhang |
| 2003 | NOSSDAV | MediSyn: a synthetic streaming media service workload generator. | Wenting Tang, Yun Fu, Ludmila Cherkasova, Amin Vahdat |
| 2003 | SMC | Advanced framework for an error-resilient parameter analysis-synthesis system of facial animation. | Yun Fu, Nanning Zheng |
| 2003 | SOSP | SHARP: an architecture for secure resource peering. | Yun Fu, Jeffrey S. Chase, Brent N. Chun, Stephen Schwab, Amin Vahdat |
| 2002 | USENIX | EtE: Passive End-to-End Internet Service Performance Monitoring. | Yun Fu, Amin Vahdat, Ludmila Cherkasova, Wenting Tang |