Wang, Jue

114 publications

ICML 2025 FloE: On-the-Fly MoE Inference on Memory-Constrained GPU Yuxin Zhou, Zheng Li, Jun Zhang, Jue Wang, Yiping Wang, Zhongle Xie, Ke Chen, Lidan Shou

AAAI 2025 FoldToken: Learning Protein Language via Vector Quantization and Beyond Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li

WACV 2025 GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-Grained Video-Language Learning Yicheng Wang, Zhikang Zhang, Jue Wang, David Fan, Zhenlin Xu, Linda Liu, Xiang Hao, Vimal Bhat, Xinyu Li

ICML 2025 Improving Model Alignment Through Collective Intelligence of Open-Source Models Junlin Wang, Roy Xie, Shang Zhu, Jue Wang, Ben Athiwaratkun, Bhuwan Dhingra, Shuaiwen Leon Song, Ce Zhang, James Zou

ICML 2025 Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping Muru Zhang, Mayank Mishra, Zhongzhu Zhou, William Brandon, Jue Wang, Yoon Kim, Jonathan Ragan-Kelley, Shuaiwen Leon Song, Ben Athiwaratkun, Tri Dao

IJCAI 2025 MCloudNet: An Ultra-Short-Term Photovoltaic Power Forecasting Framework with Multi-Layer Cloud Coverage Meng Wan, Tiantian Liu, Yuxuan Bi, Jue Wang, Hui Cui, Rongqiang Cao, Jiaxiang Wang, Peng Shi, Ningming Nie, Yangang Wang

ICLR 2025 Mixture-of-Agents Enhances Large Language Model Capabilities Junlin Wang, Jue Wang, Ben Athiwaratkun, Ce Zhang, James Zou

WACV 2025 Now You See Me: Context-Aware Automatic Audio Description Seon-Ho Lee, Jue Wang, David Fan, Zhikang Zhang, Linda Liu, Xiang Hao, Vimal Bhat, Xinyu Li

IJCAI 2025 SEP: A General Lossless Compression Framework with Semantics Enhancement and Multi-Stream Pipelines Meng Wan, Rongqiang Cao, Yanghao Li, Jue Wang, Zijian Wang, Qi Su, Lei Qiu, Peng Shi, Yangang Wang, Chong Li

ICLR 2025 Scaling Instruction-Tuned LLMs to Million-Token Contexts via Hierarchical Synthetic Data Generation Linda He, Jue Wang, Maurice Weber, Shang Zhu, Ben Athiwaratkun, Ce Zhang

ICLR 2025 Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Yang You, Guiming Xie, Xuejian Gong, Kunlong Zhou

ICCV 2025 Ultra High-Resolution Image Inpainting with Patch-Based Content Consistency Adapter Jianhui Zhang, Shen Cheng, Qirui Sun, Jia Liu, Wang Luyang, Chaoyu Feng, Chen Fang, Lei Lei, Jue Wang, Shuaicheng Liu

CVPRW 2025 Why We Feel: Breaking Boundaries in Emotional Reasoning with Multimodal Large Language Models Yuxiang Lin, Jingdong Sun, Zhi-Qi Cheng, Jue Wang, Haomin Liang, Zebang Cheng, Yifei Dong, Jun-Yan He, Xiaojiang Peng, Xian-Sheng Hua

ICML 2024 Soft Prompt Recovers Compressed LLMs, Transferably Zhaozhuo Xu, Zirui Liu, Beidi Chen, Shaochen Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava

ECCV 2024 Text-Guided Video Masked Autoencoder David Fan, Jue Wang, Shuai Liao, Zhikang Zhang, Vimal Bhat, Xinyu Li

NeurIPS 2024 UniIF: Unified Molecule Inverse Folding Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li

NeurIPS 2024 Video Token Merging for Long Video Understanding Seon-Ho Lee, Jue Wang, Zhikang Zhang, David Fan, Xinyu Li

CVPR 2023 ACR: Attention Collaboration-Based Regressor for Arbitrary Two-Hand Reconstruction Zhengdi Yu, Shaoli Huang, Chen Fang, Toby P. Breckon, Jue Wang

ICML 2023 CocktailSGD: Fine-Tuning Foundation Models over 500Mbps Networks Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher Re, Ce Zhang

CVPR 2023 CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior Jinbo Xing, Menghan Xia, Yuechen Zhang, Xiaodong Cun, Jue Wang, Tien-Tsin Wong

AAAI 2023 CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying Weihuang Liu, Xiaodong Cun, Chi-Man Pun, Menghan Xia, Yong Zhang, Jue Wang

ICML 2023 Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Re, Beidi Chen

AAAI 2023 Effective Continual Learning for Text Classification with Lightweight Snapshots Jue Wang, Dajie Dong, Lidan Shou, Ke Chen, Gang Chen

CVPR 2023 Fine-Grained Face Swapping via Regional GAN Inversion Zhian Liu, Maomao Li, Yong Zhang, Cairong Wang, Qi Zhang, Jue Wang, Yongwei Nie

TMLR 2023 Holistic Evaluation of Language Models Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D Manning, Christopher Re, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Andrew Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda

ICMLW 2023 Improving Adversarial Training for Multiple Perturbations Through the Lens of Uniform Stability Jiancong Xiao, Zeyu Qin, Yanbo Fan, Baoyuan Wu, Jue Wang, Zhi-Quan Luo

AAAI 2023 InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting Haizhou Cao, Zhenhao Huang, Tiechui Yao, Jue Wang, Hui He, Yangang Wang

CVPR 2023 Learning Anchor Transformations for 3D Garment Animation Fang Zhao, Zekun Li, Shaoli Huang, Junwu Weng, Tianfei Zhou, Guo-Sen Xie, Jue Wang, Ying Shan

ICCV 2023 Motion-Guided Masking for Spatiotemporal Representation Learning David Fan, Jue Wang, Shuai Liao, Yi Zhu, Vimal Bhat, Hector Santos-Villalobos, Rohith Mv, Xinyu Li

CVPR 2023 Patch-Based 3D Natural Scene Generation from a Single Example Weiyu Li, Xuelin Chen, Jue Wang, Baoquan Chen

CVPR 2023 Selective Structured State-Spaces for Long-Form Video Understanding Jue Wang, Wentao Zhu, Pichao Wang, Xiang Yu, Linda Liu, Mohamed Omar, Raffay Hamid

NeurIPS 2023 Skill-It! a Data-Driven Skills Framework for Understanding and Training Language Models Mayee Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, Christopher Ré

CVPR 2023 Skinned Motion Retargeting with Residual Perception of Motion Semantics & Geometry Jiaxu Zhang, Junwu Weng, Di Kang, Fang Zhao, Shaoli Huang, Xuefei Zhe, Linchao Bao, Ying Shan, Jue Wang, Zhigang Tu

AAAI 2023 Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos Zixiao Wang, Junwu Weng, Chun Yuan, Jue Wang

CVPR 2023 UV Volumes for Real-Time Rendering of Editable Free-View Human Performance Yue Chen, Xuan Wang, Xingyu Chen, Qi Zhang, Xiaoyu Li, Yu Guo, Jue Wang, Fei Wang

NeurIPS 2022 AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition Shoufa Chen, Chongjian Ge, Zhan Tong, Jiangliu Wang, Yibing Song, Jue Wang, Ping Luo

ICMLW 2022 Boosting Monolingual Sentence Representation with Large-Scale Parallel Translation Datasets Jue Wang, Haofan Wang, Xing Wu, Chaochen Gao, Debing Zhang

NeurIPS 2022 Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation Zeyu Qin, Yanbo Fan, Yi Liu, Li Shen, Yong Zhang, Jue Wang, Baoyuan Wu

IJCAI 2022 Continual Federated Learning Based on Knowledge Distillation Yuhang Ma, Zhongle Xie, Jue Wang, Ke Chen, Lidan Shou

CVPR 2022 Deblur-NeRF: Neural Radiance Fields from Blurry Images Li Ma, Xiaoyu Li, Jing Liao, Qi Zhang, Xuan Wang, Jue Wang, Pedro V. Sander

CVPR 2022 Deformable Video Transformer Jue Wang, Lorenzo Torresani

ICMLW 2022 ECLIP: Efficient Contrastive Language-Image Pretraining via Ensemble Confidence Learning and Masked Language Modeling Jue Wang, Haofan Wang, Weijia Wu, Jincan Deng, Yu Lu, Xiaofeng Guo, Debing Zhang

ICLR 2022 EViT: Expediting Vision Transformers via Token Reorganizations Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie

CVPR 2022 Exploring Denoised Cross-Video Contrast for Weakly-Supervised Temporal Action Localization Jingjing Li, Tianyu Yang, Wei Ji, Jue Wang, Li Cheng

CVPR 2022 FENeRF: Face Editing in Neural Radiance Fields Jingxiang Sun, Xuan Wang, Yong Zhang, Xiaoyu Li, Qi Zhang, Yebin Liu, Jue Wang

NeurIPS 2022 Fine-Tuning Language Models over Slow Networks Using Activation Quantization with Guarantees Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang

CVPR 2022 Hallucinated Neural Radiance Fields in the Wild Xingyu Chen, Qi Zhang, Xiaoyu Li, Yue Chen, Ying Feng, Xuan Wang, Jue Wang

CVPR 2022 High-Fidelity GAN Inversion for Image Attribute Editing Tengfei Wang, Yong Zhang, Yanbo Fan, Jue Wang, Qifeng Chen

CVPR 2022 LAS-AT: Adversarial Training with Learnable Attack Strategy Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao

ECCV 2022 LocVTP: Video-Text Pre-Training for Temporal Localization Meng Cao, Tianyu Yang, Junwu Weng, Can Zhang, Jue Wang, Yuexian Zou

CVPR 2022 Long-Short Temporal Contrastive Learning of Video Transformers Jue Wang, Gedas Bertasius, Du Tran, Lorenzo Torresani

CVPR 2022 Motion-Aware Contrastive Video Representation Learning via Foreground-Background Merging Shuangrui Ding, Maomao Li, Tianyu Yang, Rui Qian, Haohang Xu, Qingyi Chen, Jue Wang, Hongkai Xiong

CVPR 2022 Multi-Robot Active Mapping via Neural Bipartite Graph Matching Kai Ye, Siyan Dong, Qingnan Fan, He Wang, Li Yi, Fei Xia, Jue Wang, Baoquan Chen

NeurIPS 2022 OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training Liang Chen, Yong Zhang, Yibing Song, Jue Wang, Lingqiao Liu

NeurIPS 2022 One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations Yiming Zhu, Hongyu Liu, Yibing Song, Ziyang Yuan, Xintong Han, Chun Yuan, Qifeng Chen, Jue Wang

ECCV 2022 Prior-Guided Adversarial Initialization for Fast Adversarial Training Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao

CVPR 2022 Self-Supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection Liang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, Jue Wang

ECCV 2022 Spatial-Separated Curve Rendering Network for Efficient and High-Resolution Image Harmonization Jingtang Liang, Xiaodong Cun, Chi-Man Pun, Jue Wang

NeurIPS 2022 Stability Analysis and Generalization Bounds of Adversarial Training Jiancong Xiao, Yanbo Fan, Ruoyu Sun, Jue Wang, Zhi-Quan Luo

ECCV 2022 StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-Trained StyleGAN Fei Yin, Yong Zhang, Xiaodong Cun, Mingdeng Cao, Yanbo Fan, Xuan Wang, Qingyan Bai, Baoyuan Wu, Jue Wang, Yujiu Yang

ECCV 2022 Towards Accurate Active Camera Localization Qihang Fang, Yingda Yin, Qingnan Fan, Fei Xia, Siyan Dong, Sheng Wang, Jue Wang, Leonidas J. Guibas, Baoquan Chen

ECCVW 2022 Towards Real-World Video Deblurring by Exploring Blur Formation Process Mingdeng Cao, Zhihang Zhong, Yanbo Fan, Jiahao Wang, Yong Zhang, Jue Wang, Yujiu Yang, Yinqiang Zheng

CVPR 2022 Unsupervised Pre-Training for Temporal Action Localization Tasks Can Zhang, Tianyu Yang, Junwu Weng, Meng Cao, Jue Wang, Yuexian Zou

NeurIPS 2022 VideoMAE: Masked Autoencoders Are Data-Efficient Learners for Self-Supervised Video Pre-Training Zhan Tong, Yibing Song, Jue Wang, Limin Wang

AAAI 2021 Effective Slot Filling via Weakly-Supervised Dual-Model Learning Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Gang Chen

NeurIPS 2021 Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning Chongjian Ge, Youwei Liang, Yibing Song, Jianbo Jiao, Jue Wang, Ping Luo

CVPR 2021 UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning Kunming Luo, Chuan Wang, Shuaicheng Liu, Haoqiang Fan, Jue Wang, Jian Sun

CVPR 2021 Vx2Text: End-to-End Learning of Video-Based Text Generation from Multimodal Inputs Xudong Lin, Gedas Bertasius, Jue Wang, Shih-Fu Chang, Devi Parikh, Lorenzo Torresani

ECCV 2020 Content-Aware Unsupervised Deep Homography Estimation Jirong Zhang, Chuan Wang, Shuaicheng Liu, Lanpeng Jia, Nianjin Ye, Jue Wang, Ji Zhou, Jian Sun

ECCV 2020 Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang

ECCV 2020 Practical Deep Raw Image Denoising on Mobile Devices Yuzhi Wang, Haibin Huang, Qin Xu, Jiaming Liu, Yiqun Liu, Jue Wang

WACV 2020 Spatio-Temporal Ranked-Attention Networks for Video Captioning Anoop Cherian, Jue Wang, Chiori Hori, Tim Marks

AAAI 2020 When AWGN-Based Denoiser Meets Real Noises Yuqian Zhou, Jianbo Jiao, Haibin Huang, Yang Wang, Jue Wang, Honghui Shi, Thomas S. Huang

AAAI 2019 Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise Yuqian Zhou, Jianbo Jiao, Haibin Huang, Jue Wang, Thomas S. Huang

CVPRW 2019 Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation Jiaming Liu, Chihao Wu, Yuzhi Wang, Qin Xu, Yuqian Zhou, Haibin Huang, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang

CVPRW 2019 NTIRE 2019 Challenge on Real Image Denoising: Methods and Results Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang, Kai Zhang, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini, Chi Li, Yang Wang, Zhiguo Cao

AAAI 2019 Video Inpainting by Jointly Learning Temporal Structure and Spatial Details Chuan Wang, Haibin Huang, Xiaoguang Han, Jue Wang

ECCV 2018 Learning Discriminative Video Representations Using Adversarial Perturbations Jue Wang, Anoop Cherian

CVPRW 2018 Multimodal Attention for Fusion of Audio and Spatiotemporal Features for Video Description Chiori Hori, Takaaki Hori, Gordon Wichern, Jue Wang, Teng-Yok Lee, Anoop Cherian, Tim K. Marks

CVPR 2017 Deep Video Deblurring for Hand-Held Cameras Shuochen Su, Mauricio Delbracio, Jue Wang, Guillermo Sapiro, Wolfgang Heidrich, Oliver Wang

ICCV 2017 Detail-Revealing Deep Video Super-Resolution Xin Tao, Hongyun Gao, Renjie Liao, Jue Wang, Jiaya Jia

WACV 2017 Ordered Pooling of Optical Flow Sequences for Action Recognition Jue Wang, Anoop Cherian, Fatih Porikli

ICCV 2017 Zero-Order Reverse Filtering Xin Tao, Chao Zhou, Xiaoyong Shen, Jue Wang, Jiaya Jia

CVPR 2016 Automatic Fence Segmentation in Videos of Dynamic Scenes Renjiao Yi, Jue Wang, Ping Tan

CVPR 2016 Coherent Parametric Contours for Interactive Video Object Segmentation Yao Lu, Xue Bai, Linda Shapiro, Jue Wang

ECCV 2016 Learning High-Order Filters for Efficient Blind Deconvolution of Document Photographs Lei Xiao, Jue Wang, Wolfgang Heidrich, Michael Hirsch

ECCV 2016 Robust Image and Video Dehazing with Visual Artifact Suppression via Gradient Residual Minimization Chen Chen, Minh N. Do, Jue Wang

CVPR 2015 Blind Optical Aberration Correction by Exploring Geometric and Visual Priors Tao Yue, Jinli Suo, Jue Wang, Xun Cao, Qionghai Dai

CVPR 2014 Deblurring Low-Light Images with Light Streaks Zhe Hu, Sunghyun Cho, Jue Wang, Ming-Hsuan Yang

ECCV 2014 Discriminative Indexing for Probabilistic Image Patch Priors Yan Wang, Sunghyun Cho, Jue Wang, Shih-Fu Chang

ECCV 2014 Good Image Priors for Non-Blind Deconvolution - Generic vs. Specific Libin Sun, Sunghyun Cho, Jue Wang, James Hays

ECCV 2014 Hybrid Image Deblurring by Fusing Edge and Power Spectrum Information Tao Yue, Sunghyun Cho, Jue Wang, Qionghai Dai

CVPR 2014 Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing Ketan Tang, Jianchao Yang, Jue Wang

CVPR 2013 Handling Noise in Single Image Deblurring Using Directional Filters Lin Zhong, Sunghyun Cho, Dimitris Metaxas, Sylvain Paris, Jue Wang

CVPR 2013 Supervised Semantic Gradient Extraction Using Linear-Time Optimization Shulin Yang, Jue Wang, Linda Shapiro

ICCV 2013 Text Localization in Natural Images Using Stroke Feature Transform and Text Covariance Descriptors Weilin Huang, Zhe Lin, Jianchao Yang, Jue Wang

CVPR 2012 A Data-Driven Approach for Facial Expression Synthesis in Video Kai Li, Feng Xu, Jue Wang, Qionghai Dai, Yebin Liu

CVPR 2012 Automatic Upright Adjustment of Photographs Hyunjoon Lee, Eli Shechtman, Jue Wang, Seungyong Lee

CVPR 2012 Facial Expression Editing in Video Using a Temporally-Smooth Factorization Fei Yang, Lubomir D. Bourdev, Eli Shechtman, Jue Wang, Dimitris N. Metaxas

ECCV 2012 Text Image Deblurring Using Text-Specific Properties Hojin Cho, Jue Wang, Seungyong Lee

NeurIPS 2012 Unsupervised Template Learning for Fine-Grained Object Recognition Shulin Yang, Liefeng Bo, Jue Wang, Linda G. Shapiro

ICCV 2011 Handling Outliers in Non-Blind Image Deconvolution Sunghyun Cho, Jue Wang, Seungyong Lee

NeurIPS 2010 Avoiding False Positive in Multi-Instance Learning Yanjun Han, Qing Tao, Jue Wang

ECCV 2010 Dynamic Color Flow: A Motion-Adaptive Color Model for Object Segmentation in Video Xue Bai, Jue Wang, Guillermo Sapiro

CVPR 2009 A Perceptually Motivated Online Benchmark for Image Matting Christoph Rhemann, Carsten Rother, Jue Wang, Margrit Gelautz, Pushmeet Kohli, Pamela Rott

ECML-PKDD 2009 An L1 Regularization Framework for Optimal Rule Combination Yanjun Han, Jue Wang

AISTATS 2009 Kernel Learning by Unconstrained Optimization Fuxin Li, Yunshan Fu, Yu-Hong Dai, Cristian Sminchisescu, Jue Wang

AAAI 2008 Hybrid Markov Logic Networks Jue Wang, Pedro M. Domingos

ICML 2008 Listwise Approach to Learning to Rank: Theory and Algorithm Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, Hang Li

ICML 2007 A Transductive Framework of Distance Metric Learning by Spectral Dimensionality Reduction Fuxin Li, Jian Yang, Jue Wang

CVPR 2007 Optimized Color Sampling for Robust Matting Jue Wang, Michael F. Cohen

CVPR 2007 Simultaneous Matting and Compositing Jue Wang, Michael F. Cohen

ICCV 2005 An Iterative Optimization Approach for Unified Image Segmentation and Matting Jue Wang, Michael F. Cohen

ECCV 2004 Image and Video Segmentation by Anisotropic Kernel Mean Shift Jue Wang, Bo Thiesson, Yingqing Xu, Michael F. Cohen