Publications

Thesis

Wei Liu, “Large-Scale Machine Learning for Classification and Search", Ph.D. Dissertation, the Graduate School of Arts and Sciences, Columbia University, October 2012. Link

Journal

Hanchi Huang, Deheng Ye, Li Shen, and Wei Liu, "Curriculum-based Asymmetric Multi-task Reinforcement Learning", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. Link

Congliang Chen, Li Shen, Fangyu Zou, and Wei Liu, “Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration”, Journal of Machine Learning Research (JMLR), vol. 23, no. 229. pp. 1-47, 2022. Link

Kaihao Zhang, Wenhan Luo, Yanjiang Yu, Wenqi Ren, Fang Zhao, Changsheng Li, Lin Ma, Wei Liu, and Hongdong Li, “Beyond Monocular Deraining: Parallel Stereo Deraining Network via Semantic Prior”, International Journal of Computer Vision (IJCV), vol. 130, no. 7, pp. 1754-1769, 2022. Link

Kaihao Zhang, Dongxu Li, Wenhan Luo, Wenqi Ren, and Wei Liu, "Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Framework", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. Link

Haibo Qiu, Dihong Gong, Zhifeng Li, Wei Liu, and Dacheng Tao, “End2End Occluded Face Recognition by Masking Corrupted Features”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 10, pp. 6939-6952, October 2022. Link

Yuesong Tian, Li Shen, Li Shen, Guinan Su, Zhifeng Li, and Wei Liu, “AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 10, pp. 6752-6766, October 2022. Link

Jiangliu Wang, Jianbo Jiao, Linchao Bao, Shengfeng He, Wei Liu, and Yun-hui Liu, “Self-Supervised Video Representation Learning by Uncovering Spatio-Temporal Statistics”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 7, pp. 3791-3806, July 2022. Link

Yitian Yuan, Lin Ma, Jingwen Wang, Wei Liu, and Wenwu Zhu, “Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 5, pp. 2725-2741, May 2022. Link

Congliang Chen, Li Shen, Haozhi Huang, and Wei Liu, “Quantized Adam with Error Feedback”, ACM Transactions on Intelligent Systems and Technology, vol. 12, no. 5, article 56, October 2021. Link

Zequn Jie, Peng Sun, Xin Li, Jiashi Feng, and Wei Liu, “Anytime Recognition with Routing Convolutional Networks”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 43, no. 6, pp. 1875-1886, June 2021. Link

Wenhan Luo, Junliang Xing, Anton Milan, Xiaoqin Zhang, Wei Liu, and Tae-kyun Kim, “Multiple object tracking: A literature review”, Artificial Intelligence Journal (AIJ), vol. 293, No. 103448, April 2021. Link

Yonghua Zhang, Xiaojie Guo, Jiayi Ma, Wei Liu, and Jiawan Zhang, “Beyond Brightening Low-light Images”, International Journal of Computer Vision (IJCV), vol. 129, no. 4, pp. 1013-1037, 2021. Link

Ning Wang, Wengang Zhou, Yibing Song, Chao Ma, Wei Liu, and Houqiang Li, “Unsupervised Deep Representation Learning for Real-Time Tracking”, International Journal of Computer Vision (IJCV), vol. 129, no. 2,pp. 400-418, 2021. Link

Wei Zhang, Bairui Wang, Lin Ma, and Wei Liu, “Reconstruct and Represent Video Contents for Captioning via Reinforcement Learning”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 42, no. 12, pp. 3088-3101, December 2020. Link

Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, and Shuicheng Yan, “Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 42, no. 4, pp. 925-938, April 2020. Link

Zechun Liu, Wenhan Luo, Baoyuan Wu, Xin Yang, Wei Liu, and Kwang-Ting Cheng, “Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance”, International Journal of Computer Vision (IJCV), vol. 128, no. 1, pp. 202-219, 2020. Link

Wei Lu, Fu-Lai Chung, Wenhao Jiang, Martin Ester, and Wei Liu, “A Deep Bayesian Tensor-Based System for Video Recommendation”, ACM Transactions on Information Systems (TOIS), vol. 37, no. 1, article 7, January 2019. Link

Yeqing Li, Wei Liu, and Junzhou Huang, "Sub-Selective Quantization for Learning Binary Codes in Large-Scale Image Search", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 40, no. 6, pp. 1526-1532, June 2018. Link

Xiao Wang, Shiqian Ma, Donald Goldfarb, and Wei Liu, "Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization", SIAM Journal on Optimization (SIOPT), vol. 27, no. 2, pp. 927-956, May 2017. Link

Wei Liu and Tongtao Zhang, "Multimedia Hashing and Networking", IEEE MultiMedia, vol. 23, no. 3, pp. 75-79, July-September 2016. Link

Jun Wang, Wei Liu, Sanjiv Kumar, and Shih-Fu Chang, "Learning to Hash for Indexing Big Data-A Survey", Proceedings of the IEEE, vol. 104, no. 1, pp. 34-57, January 2016. Link

Wei Liu et al., "Robust and Scalable Graph-Based Semisupervised Learning", Proceedings of the IEEE, vol. 100, no. 9, pp. 2624-2638, September 2012. Link

Conference

Kevin Qinghong Lin, Alex Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Zhongcong Xu, Difei Gao, Rongcheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Dima Damen, Bernard Ghanem, Wei Liu, and Mike Zheng Shou, “Egocentric Video-Language Pretraining”, in Advances in Neural Information Processing Systems (NeurIPS), vol. 35, 2022. Link

Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, and Wei Liu, “Towards Efficient Adversarial Training on Vision Transformers”, ECCV 2022. Link

Jiawang Bai, Li Yuan, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li, and Wei Liu, “Improving Vision Transformers by Revisiting High-frequency Components”, ECCV 2022. Link

Jiawang Bai, Kuofeng Gao, Dihong Gong, Shu-Tao Xia, Zhifeng Li, and Wei Liu, “Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips”, ECCV 2022. Link

Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, and Wei Liu, “Triangle Attack: A Query-efficient Decision-based Adversarial Attack”, ECCV 2022. Link

Ziyu Wang, Wenhao Jiang, Yiming Zhu, Li Yuan, Yibing Song, and Wei Liu, "DynaMixer: A Vision MLP Architecture with Dynamic Mixing", in Proc. International Conference on Machine Learning (ICML), 2022. Link

Wenxiao Wang, Lu Yao, Long Chen, Binbin Lin, Deng Cai, Xiaofei He, and Wei Liu, "CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention", in Proc. International Conference on Learning Representations (ICLR), 2022. Link

Aming Wu, Suqi Zhao, Cheng Deng, and Wei Liu, “Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement”, in Advances in Neural Information Processing Systems (NeurIPS), vol. 34, 2021. Link

Kaipeng Zhang, Zhenqiang Li, Zhifeng Li, Wei Liu, and Yoichi Sato, “Neural Routing by Memory”, in Advances in Neural Information Processing Systems (NeurIPS), vol. 34, 2021. Link

Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, and Wei Liu, “Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework”, in Proc. International Conference on Machine Learning (ICML), 2021. Link

Xiaolong Yang, Xiaohong Jia, Dihong Gong, Dong-Ming Yan, Zhifeng Li, and Wei Liu, “LARNet: Lie Algebra Residual Network for Face Recognition”, in Proc. International Conference on Machine Learning (ICML), 2021. Link

Yuchen Luo, Yong Zhang, Junchi Yan, and Wei Liu, “Generalizing Face Forgery Detection with High-frequency Features”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. Link

Tian Pan, Yibing Song, Tianyu Yang, Wenhao Jiang, and Wei Liu, “VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. Link

Long Chen, Zhihong Jiang, Jun Xiao, and Wei Liu, “Human-like Controllable Image Captioning with Verb-specific Semantic Roles”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. Link

Yuehua Zhu, Muli Yang, Cheng Deng, and Wei Liu, “Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies”, in Advances in Neural Information Processing Systems (NeurIPS), vol. 33, 2020 (Spotlight Oral). Link

Xu Yang, Cheng Deng, Kun Wei, Junchi Yan, and Wei Liu, “Adversarial Learning for Robust Deep Clustering”, in Advances in Neural Information Processing Systems (NeurIPS), vol. 33, 2020. Link

Deheng Ye, Guibin Chen, Wen Zhang, Sheng Chen, Bo Yuan, Bo Liu, Jia Chen, Zhao Liu, Fuhao Qiu, Hongsheng Yu, Yinyuting Yin, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang, and Wei Liu, “Towards Playing Full MOBA Games with Deep Reinforcement Learning”, in Advances in Neural Information Processing Systems (NeurIPS), vol. 33, 2020. Link

Chao Li, Haoteng Tang, Cheng Deng, Liang Zhan, and Wei Liu, “Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning”, in Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020 (Full Oral). Link

Chunyan Xu, Zhen Cui, Xiaobin Hong, Tong Zhang, Jian Yang, and Wei Liu, “Graph Inference Learning for Semi-Supervised Classification”, in Proc. International Conference on Learning Representations (ICLR), 2020. Link

Chao Li, Shangqian Gao, Cheng Deng, De Xie, and Wei Liu, “Cross-Modal Learning with Adversarial Samples”, in Advances in Neural Information Processing Systems (NeurIPS), vol. 32, 2019. Link

Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, and Wei Liu, “Learning to Compose Dynamic Tree Structures for Visual Contexts”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (Oral, Best Paper Finalist). Link

Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, and Martial Hebert, “Image Deformation Meta-Networks for One-Shot Learning”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (Oral, Best Paper Finalist). Link

Fangyu Zou, Li Shen, Zequn Jie, Weizhong Zhang, and Wei Liu, “A Sufficient Condition for Convergences of Adam and RMSProp”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (Oral). Link

Yang Feng, Lin Ma, Wei Liu, and Jiebo Luo, “Unsupervised Image Captioning”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Link

Yunzhe Tao, Qi Sun, Qiang Du, and Wei Liu, "Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling", Advances in Neural Information Processing Systems (NeurIPS), vol. 31, 2018. Link

Xing Yan, Weizhong Zhang, Lin Ma, Wei Liu, and Qi Wu, "Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning", Advances in Neural Information Processing Systems (NeurIPS), vol. 31, 2018. Link

Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Dihong Gong, Jingchao Zhou, Zhifeng Li, and Wei Liu, “CosFace: Large Margin Cosine Loss for Deep Face Recognition”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Link

Nanyang Wang, Yinda Zhang, Zhuwen Li, Yanwei Fu, Wei Liu, and Yu-Gang Jiang, “Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images”, ECCV 2018, Part XI, Lecture Notes in Computer Science, vol. 11215, pp. 55–71, 2018. Link

Shixiang Chen, Shiqian Ma, and Wei Liu, “Geometric Descent Method for Convex Composite Minimization”, in Advances in Neural Information Processing Systems (NeurIPS), vol. 30, 2017. Link

Li Shen, Wei Liu, Ganzhao Yuan, and Shiqian Ma, “GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization”, in Proc. International Conference on Machine Learning (ICML), 2017. Link

Long Chen, Hanwang Zhang, Jun Xiao, Liqiang Nie, Jian Shao, Wei Liu, and Tat-Seng Chua, “SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. Link

Haozhi Huang, Hao Wang, Wenhan Luo, Lin Ma, Wenhao Jiang, Xiaolong Zhu, Zhifeng Li, and Wei Liu, “Real-Time Neural Style Transfer for Videos”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. Link

Jingyuan Chen, Hanwang Zhang, Xiangnan He, Liqiang Nie, Wei Liu, and Tat-Seng Chua, "Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention", in Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017 (Full Oral). Link

Fumin Shen, Yadong Mu, Yang Yang, Wei Liu, Li Liu, Jingkuan Song, and Heng Tao Shen, "Classification by Retrieval: Binarizing Data and Classifiers", in Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017 (Full Oral, Best Paper Award Honorable Mention). Link

Hanwang Zhang, Fumin Shen, Wei Liu, Xiangnan He, Huanbo Luan, and Tat-Seng Chua, "Discrete Collaborative Filtering", in Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016 (Full Oral, Best Paper Award Honorable Mention). Link

Fumin Shen, Chunhua Shen, Wei Liu, and Heng Tao Shen, “Supervised Discrete Hashing”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. Link

Wei Liu, Cun Mu, Rongrong Ji, Shiqian Ma, John R. Smith, and Shih-Fu Chang, “Low-Rank Similarity Metric Learning in High Dimensions”, in Proc. AAAI Conference on Artificial Intelligence (AAAI), 2015. Link

Wei Liu et al., "Discrete Graph Hashing", Advances in Neural Information Processing Systems (NeurIPS), vol. 27, 2014 (Spotlight Oral). Link

Wei Liu et al., "Unsupervised One-Class Learning for Automatic Outlier Removal", in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 (Oral). Link

Wei Liu et al., "Compact Hyperplane Hashing with Bilinear Functions", in Proc. International Conference on Machine Learning (ICML), 2012. Link

Wei Liu et al., "Supervised Hashing with Kernels", in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012 (Oral). Link

Wei Liu et al., "Hashing with Graphs", in Proc. International Conference on Machine Learning (ICML), 2011. Link

Wei Liu et al., "Noise Resistant Graph Ranking for Improved Web Image Search", in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011. Link

Wei Liu et al., "Large Graph Construction for Scalable Semi-Supervised Learning", in Proc. International Conference on Machine Learning (ICML), 2010. Link

Wei Liu et al., "Semi-Supervised Sparse Metric Learning Using Alternating Linearization Optimization", in Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2010 (Full Oral). Link

Wei Liu and Shih-Fu Chang, "Robust Multi-Class Transductive Learning with Graphs", in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. Link

Wei Liu et al., “Output Regularized Metric Learning with Side Information”, in Proc. European Conference on Computer Vision (ECCV), 2008. Link

Wei Liu et al., “Spatio-temporal Embedding for Statistical Face Recognition from Video”, in Proc. European Conference on Computer Vision (ECCV), 2006. Link

Wei Liu et al., “Hallucinating Faces: TensorPatch Super-Resolution and Coupled Residue Compensation”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2005 (Oral). Link