Thesis

 

l      Wei Liu

Large-Scale Machine Learning for Classification and Search

PhD Thesis, Graduate School of Arts and Sciences, Columbia University, 2012.
pdf

Journal Articles and Technical Reports (2 Proc. IEEE, 2 TPAMI, 1 IJCV, 12 TIP, 2 TKDE, 1 SIOPT)
  

l     Jie Feng, Wei Liu, and Yan Wang

Learning to Rank Binary Codes
arXiv:1410.5524
link

 

l     Kaihao Zhang, Wenhan Luo, Yiran Zhong, Lin Ma, Wei Liu, and Hongdong Li

Adversarial Spatio-Temporal Learning for Video Deblurring
IEEE Transactions on Image Processing (TIP)
, vol. 28, no. 1, pp. 291-301, January 2019.

pdf

 

l     Wenbing Huang, Lijie Fan, Mehrtash Harandi, Lin Ma, Huaping Liu, Wei Liu, and Chuang Gan

  Towards Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks

  IEEE Transactions on Image Processing (TIP), 2018.

       

l     Wenqi Ren, Jingang Zhang, Xiangyu Xu, Lin Ma, Xiaochun Cao, Gaofeng Meng, and Wei Liu

  Deep Video Dehazing with Semantic Segmentation

  IEEE Transactions on Image Processing (TIP), 2018.

 

l     Wenhao Jiang, Hongchang Gao, Wei Lu, Wei Liu, Fu-Lai Chung, and Heng Huang

  Stacked Robust Adaptively Regularized Auto-regressions for Domain Adaptation

  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.

pdf

 

l     Erkun Yang, Cheng Deng, Chao Li, Wei Liu, Jie Li, and Dacheng Tao

Shared Predictive Cross-Modal Deep Quantization
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
, vol. 29, no. 11, pp. 5292-5303, November 2018.

pdf

 

l     Wenhao Jiang, Wei Liu, and Fu-lai Chung

Knowledge Transfer for Spectral Clustering
Pattern Recognition, vol. 81, pp. 484-496, September 2018.

link

 

l     Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem, and Siwei Lyu

Multi-label Learning with Missing Labels Using Mixed Dependency Graphs
International Journal of Computer Vision (IJCV), vol. 126, no. 8, pp. 875-896, August
2018.

pdf

 

l     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.
pdf

 

l     Qingshan Liu, Guangcan Liu, Lai Li, Xiao-Tong Yuan, Meng Wang, and Wei Liu

Reversed Spectral Hashing
IEEE Transactions on Neural Networks and Learning Systems (TNNLS),
vol. 29, no. 6, pp. 2441-2449, June 2018.

pdf

l     Yu-Gang Jiang, Minjun Li, Xi Wang, Wei Liu, and Xian-Sheng Hua

DeepProduct: Mobile Product Search With Portable Deep Features
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM),
vol. 14. no. 2, Article No. 50, May 2018.

pdf

 

l     Jingjing Liu, Shaoting Zhang, Wei Liu, Cheng Deng, Yuanjie Zheng, and Dimitris N. Metaxas

  Scalable Mammogram Retrieval Using Composite Anchor Graph Hashing With Iterative Quantization

  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 27, no. 11, pp. 2450-2460, November 2017.

pdf

 

l     Fumin Shen, Yang Yang, Li Liu, Wei Liu, Dacheng Tao, and Heng Tao Shen

Asymmetric Binary Coding for Image Search
IEEE Transactions on Multimedia (TMM),
vol. 19, no. 9, pp. 2022-2032, September 2017.
pdf

 

l     Guo-Jun Qi, Wei Liu, Charu Aggarwal, and Thomas Huang

  Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes

  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 39, no. 7, pp. 1360-1373, July 2017.

pdf

 

l     Chen Gong, Dacheng Tao, Wei Liu, Liu Liu, and Jie Yang

  Label Propagation via Teaching-to-Learn and Learning-to-Teach

  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 28, no. 6, pp. 1452-1465, June 2017.

  pdf

 

l     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.
pdf

 

l     Rongrong Ji, Wei Liu, Xing Xie, Yiqiang Chen, and Jiebo Luo

Mobile Social Multimedia Analytics in the Big Data Era: An Introduction to the Special Issue
ACM Transactions on Intelligent Systems and Technology (TIST), vol. 8, no. 3, article no. 34, April
2017 (Editorial Special Issue).
pdf

 

l     Yadong Mu, Wei Liu, Xiaobai Liu, and Wei Fan

  Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization

  IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 29, no. 2, pp. 458-471, February 2017.

pdf

 

l     Bo Du, Zengmao Wang, Lefei Zhang, Liangpei Zhang, Wei Liu, Jialie Shen, and Dacheng Tao

Exploring Representativeness and Informativeness for Active Learning
IEEE Transactions on Cybernetics, vol. 47, no. 1, pp. 14-26, January
2017.

pdf

 

l     Quan Zou, Wei Liu, Michele Merler, and Rongrong Ji

  Advanced Learning for Large-Scale Heterogeneous Computing

  Neurocomputing, vol. 217, pp. 1-2, December 2016 (Editorial Special Issue, Elsevier).

  pdf

 

l     Siyu Huang, Xi Li, Zhongfei Zhang, Zhouzhou He, Fei Wu, Wei Liu, Jinhui Tang, and Yueting Zhuang

  Deep Learning Driven Visual Path Prediction from a Single Image

  IEEE Transactions on Image Processing (TIP), vol. 25, no. 12, pp. 5892-5904, December 2016.

pdf

 

l     Yu-Gang Jiang, Jiajun Wang, Qiang Wang, Wei Liu, and Chong-Wah Ngo

  Hierarchical Visualization of Video Search Results for Topic-Based Browsing

  IEEE Transactions on Multimedia (TMM), vol. 18, no. 11, pp. 2161-2170, November 2016.

pdf

 

l     Jingjing Liu, Chao Chen, Yan Zhu, Wei Liu, and Dimitris N. Metaxas

Video Classification via Weakly Supervised Sequence Modeling
Computer Vision and Image Understanding (CVIU), vol. 152, pp. 79-87, November
2016.

pdf

 

l     Wei Liu and Tongtao Zhang

  Multimedia Hashing and Networking

  IEEE MultiMedia, vol. 23, no. 3, pp. 75-79, July-September 2016.

pdf

 

l     Chen Gong, Dacheng Tao, Stephen J. Maybank, Wei Liu, Guoliang Kang, and Jie Yang

  Multi-Modal Curriculum Learning for Semi-Supervised Image Classification

  IEEE Transactions on Image Processing (TIP), vol. 25, no. 7, pp. 3249-3260, July 2016.

pdf

 

l     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.

pdf

 

l     Xianhua Zeng, Wei Bian, Wei Liu, Jialie Shen, and Dacheng Tao

Dictionary Pair Learning on Grassmann Manifolds for Image Denoising
IEEE Transactions on Image Processing (TIP), vol. 24, no. 11, pp. 4556-4569, November
2015.

pdf

  

l     Chen Chen, Yeqing Li, Wei Liu, and Junzhou Huang

SIRF: Simultaneous Satellite Image Registration and Fusion in A Unified Framework
IEEE Transactions on Image Processing (TIP), vol. 24, no. 11, pp. 4213-4224, November
2015.

pdf

 

l     Yu-Gang Jiang, Qi Dai, Wei Liu, Xiangyang Xue, and Chong-Wah Ngo

Human Action Recognition in Unconstrained Videos by Explicit Motion Modeling
IEEE Transactions on Image Processing (TIP), vol. 24, no. 11, pp. 3781-3795, November
2015.

pdf

 

l     Qilin Zhang, Gang Hua, Wei Liu, Zicheng Liu, and Zhengyou Zhang  

Auxiliary Training Information Assisted Visual Recognition
IPSJ Transactions on Computer Vision and Applications, vol. 7, pp. 138-150, November 2015.

pdf

 

l     Dongjin Song, Wei Liu, Tianyi Zhou, Dacheng Tao, and David A. Meyer  

Efficient Robust Conditional Random Fields
IEEE Transactions on Image Processing (TIP), vol. 24, no. 10, pp. 3124-3136, October
2015.

pdf

 

l     Liujuan Cao, Xian-Ming Liu, Wei Liu, Rongrong Ji, and Thomas Huang

Localizing Web Videos Using Social Images

Information Sciences, vol. 302, pp. 122-131, May 2015 (Elsevier).
pdf

l     Yue Gao, Rongrong Ji, Wei Liu, and Qionghai Dai

Learning for 3D Understanding

Neurocomputing, vol. 151, pp. 531-532, March 2015 (Editorial Special Issue, Elsevier).
pdf

 

l     Rongrong Ji, Yue Gao, Wei Liu, Xing Xie, Qi Tian, and Xuelong Li

When Location Meets Social Multimedia: A Survey on Vision-Based Recognition and Mining for Geo-Social Multimedia Analytics
ACM Transactions on Intelligent Systems and Technology (TIST), vol. 6, no. 1, article no. 1, March
2015.

pdf

 

l     Xiaofan Zhang, Wei Liu, Murat Dundar, Sunil Badve, and Shaoting Zhang

Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval
IEEE Transactions on Medical Imaging (TMI), vol. 34, no. 2, pp. 496-506, February
2015.
pdf

  

l     Yue Gao, Rongrong Ji, Wei Liu, Qionghai Dai, and Gang Hua

Weakly Supervised Visual Dictionary Learning by Harnessing Image Attributes
IEEE Transactions on Image Processing (TIP), vol. 23, no. 12, pp. 5400-5411, December
2014.
pdf

l     Yadong Mu, Wei Liu, and Shuicheng Yan

Video De-Fencing
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 24, no. 7, pp. 1111-1121, July
2014.
pdf

l     Wei Liu and Tongtao Zhang

Bidirectional Label Propagation over Graphs
International Journal of Software and Informatics, vol. 7, no. 3, pp. 419-433,
2013.

pdf

 

l     Liujuan Cao, Rongrong Ji, Wei Liu, Hongxun Yao, and Qi Tian

Weakly Supervised Codebook Learning by Iterative Label Propagation with Graph Quantization
Signal Processing, vol. 93, no. 8, pp. 2274–2283, August 2013
(Elsevier).
pdf

l     Liujuan Cao, Rongrong Ji, Yue Gao, Wei Liu, and Qi Tian

Mining Spatiotemporal Video Patterns towards Robust Action Retrieval
Neurocomputing, vol. 105, no. 1, pp. 61-69, April
2013 (Elsevier).

pdf

l     Yan Chen, Jiemi Zhang, Deng Cai, Wei Liu, and Xiaofei He

Nonnegative Local Coordinate Factorization for Image Representation
IEEE Transactions on Image Processing (TIP), vol. 22, no. 3, pp. 969-979, March
2013.

pdf

 

l     Wei Liu, Jun Wang, and Shih-Fu Chang

Robust and Scalable Graph-Based Semisupervised Learning
Proceedings of the IEEE, vol. 100, no. 9, pp. 2624-2638, September 2012.
pdf

l     Rongrong Ji, Hongxun Yao, Wei Liu, Xiaoshuai Sun, and Qi Tian

Task-Dependent Visual-Codebook Compression
IEEE Transactions on Image Processing (TIP), vol. 21, no. 4, pp. 2282-2293, April
2012.
pdf

l     Si Si, Wei Liu, Dacheng Tao, and Kwok-Ping Chan
Distribution Calibration in Riemannian Symmetric Space
IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics,
vol. 41, no. 4, pp. 921-930, August 2011.
pdf

l     Steven C.H. Hoi, Wei Liu, and Shih-Fu Chang
Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval and Clustering
ACM Transactions on Multimedia Computing, Communications and Applications, vol. 6, no. 3, article 18, August 2010.
pdf

l     Wei Liu et al.
Null Space Approach of Fisher Discriminant Analysis for Face Recognition
Biometric Authentication, Lecture Notes in Computer Science, vol. 3087, pp. 32-44, 2004 (Springer).
pdf

l     HAN Yi-ping, YU Hang, and LIU Wei
Classification of DNA Sequences
Mathematics in Practice and Theory, vol. 31, no, 1, pp. 38-45, January 2001 (in Chinese).
Problem  Paper
  

Refereed Conference Papers (9 NIPS, 8 ICML, 31 CVPR, 6 ICCV, 14 ECCV, 3 KDD, 6 SIGIR, 1 WWW, 12 IJCAI, 11 AAAI)

( *  refer to students I ever (co-)supervised and am (co-)supervising)

 

l     Yunzhe Tao*, Qi Sun, Qiang Du, and Wei Liu

  Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling

  Advances in Neural Information Processing Systems (NIPS) 31, Montreal, Canada, 2018 (20.82% acceptance rate).

  arXiv

 

l     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 (NIPS) 31, Montreal, Canada, 2018 (20.82% acceptance rate).

 

l     Hongteng Xu, Wenlin Wang, Wei Liu, and Lawrence Carin

  Distilled Wasserstein Learning for Word Embedding and Topic Modeling

  Advances in Neural Information Processing Systems (NIPS) 31, Montreal, Canada, 2018 (20.82% acceptance rate).

  arXiv

 

l     Tianshu Yu, Junchi Yan, Yilin Wang, Wei Liu, and Baoxin Li

  Generalizing Graph Matching beyond Quadratic Assignment Model

  Advances in Neural Information Processing Systems (NIPS) 31, Montreal, Canada, 2018 (20.82% acceptance rate).

 

l     Wenqi Ren, Jiawei Zhang, Lin Ma, Jinshan Pan, Xiaochun Cao, Wei Liu, and Ming-Hsuan Yang

  Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation

  Advances in Neural Information Processing Systems (NIPS) 31, Montreal, Canada, 2018 (20.82% acceptance rate).

 

l     Wenhan Luo, Peng Sun, Fangwei Zhong*, Wei Liu, Tong Zhang, and Yizhou Wang 

  End-to-end Active Object Tracking via Reinforcement Learning

  International Conference on Machine Learning (ICML), Stockholm, Sweden, 2018 (oral, 24.99% acceptance rate).

arXiv  Project

 

l     Li Shen, Peng Sun, Yitong Wang, Wei Liu, and Tong Zhang

  An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method

  International Conference on Machine Learning (ICML), Stockholm, Sweden, 2018 (oral, 24.99% acceptance rate).

arXiv

 

l     Weizhong Zhang, Bin Hong, Lin Ma, Wei Liu, and Tong Zhang
Safe Element Screening for Submodular Function Minimization
International Conference on Machine Learning (ICML), Stockholm, Sweden, 2018 (oral, 24.99% acceptance rate).

arXiv

 

l     Minjun Li*, Haozhi Huang, Lin Ma, Wei Liu, Tong Zhang, and Yu-Gang Jiang

Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks
European Conference on Computer Vision (ECCV), Munich, Germany, 2018 (~25% acceptance rate).

arXiv

 

l     Zechun Liu*, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, and Kwang-Ting Cheng
Bi-Real Net: Enhancing the Performance of 1-bit CNNs with Improved Representational Capability and Advanced Training Algorithm
European Conference on Computer Vision (ECCV), Munich, Germany, 2018 (~25% acceptance rate).

arXiv  code

 

l     Tianshu Yu, Junchi Yan, Wei Liu, and Baoxin Li
Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering
European Conference on Computer Vision (ECCV), Munich, Germany, 2018 (~25% acceptance rate).

pdf

 

l     Yang Feng*, Lin Ma, Wei Liu, Tong Zhang, and Jiebo Luo
Video Re-localization
European Conference on Computer Vision (ECCV), Munich, Germany, 2018 (~25% acceptance rate).

arXiv  code

 

l     Wenhao Jiang, Lin Ma, Yu-Gang Jiang, Wei Liu, and Tong Zhang
Recurrent Fusion Network for Image Captioning
European Conference on Computer Vision (ECCV), Munich, Germany, 2018 (~25% acceptance rate).

arXiv

 

l     Yitong Wang, Dihong Gong, Zheng Zhou, Xing Ji, Hao Wang, Zhifeng Li, Wei Liu, and Tong Zhang
Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition
European Conference on Computer Vision (ECCV), Munich, Germany, 2018 (~25% acceptance rate).

arXiv

 

l     Kaipeng Zhang*, Zhanpeng Zhang, Chia-Wen Cheng, Winston Hsu, Yu Qiao, Wei Liu, and Tong Zhang
Super-Identity Convolutional Neural Network for Face Hallucination

        European Conference on Computer Vision (ECCV), Munich, Germany, 2018 (~25% acceptance rate).

       

 

l     Yonggen Ling, Linchao Bao, Zequn Jie, Fengming Zhu, Ziyang Li, Shanmin Tang, YongSheng Liu, Wei Liu, and Tong Zhang
Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry
European Conference on Computer Vision (ECCV), Munich, Germany, 2018 (~25% acceptance rate).

arXiv

 

l     Nanyang Wang*, Yinda Zhang, Zhuwen Li, Yanwei Fu, Wei Liu, and Yu-Gang Jiang
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
European Conference on Computer Vision (ECCV), Munich, Germany, 2018 (~25% acceptance rate).

arXiv

 

l     Xinyu Gong*, Haozhi Huang, Lin Ma, Fumin Shen, Wei Liu, and Tong Zhang
Neural Stereoscopic Image Style Transfer
European Conference on Computer Vision (ECCV), Munich, Germany, 2018 (~25% acceptance rate).

arXiv

 

l     Zequn Jie, Pengfei Wang, Yonggen Ling, Bo Zhao, Yunchao Wei, Jiashi Feng, and Wei Liu
Left-Right Comparative Recurrent Model for Stereo Matching
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018 (oral, 2.1% acceptance rate).

arXiv

 

l     Linchao Bao, Baoyuan Wu, and Wei Liu
CNN in MRF: Video Object Segmentation via Inference in A CNN-Based Higher-Order Spatio-Temporal MRF
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018 (spotlight oral, 8.9% acceptance rate).

arXiv

 

l     Jingwen Wang*, Wenhao Jiang, Lin Ma, Wei  Liu, and Yong Xu
Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018 (spotlight oral, 8.9% acceptance rate).

arXiv

 

l     Bairui Wang*, Lin Ma, Wei Zhang, and Wei Liu
Reconstruction Network for Video Captioning
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018 (29.6% acceptance rate).

arXiv

 

l     Wei Xiong*, Wenhan Luo, Lin Ma, Wei Liu, and Jiebo Luo
Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018 (29.6% acceptance rate).

arXiv  Project

 

l     Long Chen, Hanwang Zhang, Jun Xiao, Wei Liu, and Shih-Fu Chang
Zero-Shot Visual Recognition using Semantics-Preserving Adversarial Embedding Networks
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018 (29.6% acceptance rate).

arXiv

 

l     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
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018 (29.6% acceptance rate).

arXiv

 

l     Baoyuan Wu, Weidong Chen, Peng Sun, Wei Liu, Bernard Ghanem, and Siwei Lyu
Tagging Like Humans: Diverse and Distinct Image Annotation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018 (29.6% acceptance rate).

arXiv

 

l     Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, Xiaochun Cao, Wei Liu, and Ming-Hsuan Yang
Gated Fusion Network for Single Image Dehazing
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018 (29.6% acceptance rate).

arXiv  Project

 

l     Chao Li*, Cheng Deng, Ning Li, Wei Liu, Xinbo Gao, and Dacheng Tao
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018 (29.6% acceptance rate).

 arXiv

 

l     Changmao Cheng, Yanwei Fu, Yu-Gang Jiang, Wei Liu, Wenlian Lu, Jianfeng Feng, and Xiangyang Xue
Dual Skipping Networks
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018 (29.6% acceptance rate).

arXiv

 

l     Xinpeng Chen*, Lin Ma, Wenhao Jiang, Jian Yao, and Wei Liu
Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018 (29.6% acceptance rate).

 Part of this work has been transferred to Tencent’s products.

 arXiv  code

 

l     Xinpeng Chen*, Jingyuan Chen, Lin Ma, Jian Yao, Wei Liu, Jiebo Luo, and Tong Zhang

Fine-grained Video Attractiveness Prediction Using Multimodal Deep Learning on a Large Real-world Dataset

The Web Conference (WWW),The Big Web Track, Lyon, France, 2018 (full oral, ~10% acceptance rate).

 arXiv

 

l     Xuemeng Song, Xiang Wang, Liqiang Nie, Xiangnan He, Zhumin Chen, and Wei Liu

  A Personal Privacy Preserving Framework: I Let You Know Who Can See What

  International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Ann Arbor, Michigan, USA, 2018 (full oral, ~20% acceptance rate).

  pdf  code

 

l     Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu, and Liqiang Nie

  Neural Compatibility Modeling with Attentive Knowledge Distillation

  International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Ann Arbor, Michigan, USA, 2018 (full oral, ~20% acceptance rate).

arXiv  code

 

l     Yongyi Tang*, Lin Ma, Wei Liu, and Wei-Shi Zheng
Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamic
International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, 2018 (20.46% acceptance rate).

arXiv

 

l     Li Wang, Junlin Yao, Yunzhe Tao*, Li Zhong, Wei Liu, and Qiang Du
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization
International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, 2018 (20.46% acceptance rate).

 arXiv

 

l     Erkun Yang*, Cheng Deng, Tongliang Liu, Wei Liu, and Dacheng Tao
Semantic Structure-based Unsupervised Deep Hashing
International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, 2018 (20.46% acceptance rate).

pdf

 

l     Tianran Hu*, Jiebo Luo, and Wei Liu

  Life in the "Matrix": Human Mobility Patterns in the Cyber Space

  International AAAI Conference on Web and Social Media (ICWSM), Stanford, CA, USA, 2018 (full paper, ~10% acceptance rate). 

        arXiv

 

l     Wenhao Jiang, Lin Ma, Xinpeng Chen*, Hanwang Zhang, and Wei Liu

  Learning to Guide Decoding for Image Captioning

  AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Louisiana, USA, 2018 (24.55% acceptance rate). 

  Part of this work has been transferred to Tencent’s products.

        arXiv

 

l     Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, and Yuan Yao

Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size

  AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Louisiana, USA, 2018 (24.55% acceptance rate).

  arXiv

  

l     Shixiang Chen, Shiqian Ma, and Wei Liu

  Geometric Descent Method for Convex Composite Minimization

  Advances in Neural Information Processing Systems (NIPS) 30, Long Beach, CA, USA, 2017 (20.93% acceptance rate).

  pdf  sup-material 

 

l     Dongsheng Li, Chao Chen, Wei Liu, Tun Lu, Ning Gu, and Stephen M. Chu

  Mixture-Rank Matrix Approximation for Collaborative Filtering

  Advances in Neural Information Processing Systems (NIPS) 30, Long Beach, CA, USA, 2017 (20.93% acceptance rate).

  pdf

 

l     Li Shen*, Wei Liu, GanZhao Yuan, and Shiqian Ma

  GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization

  International Conference on Machine Learning (ICML), Sydney, Australia, 2017 (oral, 25.46% acceptance rate).

  pdf 

 

l     Weizhong Zhang, Bin Hong, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, and Jie Wang

  Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction

  International Conference on Machine Learning (ICML), Sydney, Australia, 2017 (oral, 25.46% acceptance rate).

  pdf  sup-material  code 

 

l     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

  International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Kyoto, Japan, 2017 (full oral, 21.55% acceptance rate).

  pdf  code

 

l     Fumin Shen, Yadong Mu, Yang Yang, Wei Liu, Li Liu, Jingkuan Song, and Heng Tao Shen

Classification by Retrieval: Binarizing Data and Classifiers

  International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Kyoto, Japan, 2017 (full oral, 21.55% acceptance rate).

  Best Paper Award Honorable Mention

pdf

 

l     Haozhi Huang*, Hao Wang, Wenhan Luo, Lin Ma, Wenhao Jiang, Xiaolong Zhu, Zhifeng Li, and Wei Liu
Real-Time Neural Style Transfer for Videos
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, USA, 2017 (29.22% acceptance rate).

pdf  video

Part of this work has been transferred to Tencent’s products.

        

l     Baoyuan Wu, Fan Jia*, Wei Liu, and Bernard Ghanem
Diverse Image Annotation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, USA, 2017  (29.22% acceptance rate).

        pdf  sup-material  code

         

l     Zequn Jie*, Yunchao Wei, Xiaojie Jin, Jiashi Feng, and Wei Liu
Deep Self-Taught Learning for Weakly Supervised Object Localization
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, USA, 2017  (spotlight oral, 8.02% acceptance rate).

        pdf

        

l     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
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, USA, 2017  (29.22% acceptance rate).

        pdf  code

      

l     Kaipeng Zhang*, Zhanpeng Zhang, Hao Wang, Zhifeng Li, Yu Qiao, and Wei Liu
Detecting Faces Using Inside Cascaded Contextual CNN
IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 2017  (~25% acceptance rate).

pdf

       

l     Tongtao Zhang*, Spencer Whitehead, Hanwang Zhang, Hongzhi Li, Joseph Ellis, Lifu Huang, Wei Liu, Heng Ji, and Shih-Fu Chang
Improving Event Extraction via Multimodal Integration
ACM International Conference on Multimedia (ACM MM), Mountain View, CA, USA, 2017 (full oral, 19.0% acceptance rate).

        pdf

 

l     Wenhao Jiang, Cheng Deng, Wei Liu, Feiping Nie, Fu-lai Chung, and Heng Huang
Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning
International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, 2017 (25.9% acceptance rate).

pdf

       

l     Li Shen*, Wei Liu, Junzhou Huang, Yu-Gang Jiang, and Shiqian Ma
Adaptive Proximal Average Approximation for Composite Convex Minimization
AAAI Conference on Artificial Intelligence (AAAI), San Francisco, CA, USA, 2017 (24.63% acceptance rate).

pdf 

 

l     Erkun Yang*, Cheng Deng, Wei Liu, Dacheng Tao, and Xinbo Gao
Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval
AAAI Conference on Artificial Intelligence (AAAI), San Francisco, CA, USA, 2017 (24.63% acceptance rate). 

pdf

 

l     Hanwang Zhang, Fumin Shen, Wei Liu, Xiangnan He, Huanbo Luan, and Tat-Seng Chua
Discrete Collaborative Filtering
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Pisa, Italy, 2016 (full oral, 18.18% acceptance rate).

Best Paper Award Honorable Mention

pdf  slides  code

 

l     Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, and Shuicheng Yan
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, USA, 2016 (29.9% acceptance rate).

         pdf  code

 

l     Peng Yang, Peilin Zhao, Zhen Hai, Wei Liu, Steven C.H. Hoi, and Xiao-Li Li
Efficient Multi-Class Selective Sampling on Graphs
Conference on Uncertainty in Artificial Intelligence (UAI), New York, NY, USA, 2016 (30% acceptance rate).

pdf  sup-material  poster

 

l     Linbo Qiao*, Tianyi Lin*, Yu-Gang Jiang, Fan Yang, Wei Liu, and Xicheng Lu
On Stochastic Primal-Dual Hybrid Gradient Approach for Compositely Regularized Minimization
European Conference on Artificial Intelligence (ECAI), The Hague, Holland, 2016 (27% acceptance rate).

pdf

 

l     Dongjin Song, Wei Liu, and David A. Meyer
Fast Structural Binary Coding
International Joint Conference on Artificial Intelligence (IJCAI), New York, NY, USA, 2016 (~25% acceptance rate).

        pdf

 

l     Yadong Mu, Wei Liu, Cheng Deng, and Xinbo Gao
Coordinate Discrete Optimization for Efficient Cross-View Image Retrieval
International Joint Conference on Artificial Intelligence (IJCAI), New York, NY, USA, 2016 (~25% acceptance rate).

        pdf

 

l     Shu Wang, Shaoting Zhang, Wei Liu, and Dimitris N. Metaxas
Visual Tracking with Reliable Memories
International Joint Conference on Artificial Intelligence (IJCAI), New York, NY, USA, 2016 (~25% acceptance rate).

        pdf

 

l     Yeqing Li*, Junzhou Huang, and Wei Liu
Scalable Sequential Spectral Clustering
AAAI Conference on Artificial Intelligence (AAAI), Phoenix, Arizona, USA, 2016 (~25% acceptance rate). 

        pdf

 

l     Chen Gong, Dacheng Tao, Jie Yang, and Wei Liu
Teaching-to-Learn and Learning-to-Teach for Multi-label Propagation
AAAI Conference on Artificial Intelligence (AAAI), Phoenix, Arizona, USA, 2016 (~25% acceptance rate).

pdf 

 

l     Hong Liu, Rongrong Ji, Yongjian Wu, and Wei Liu
Towards Optimal Binary Code Learning via Ordinal Embedding
AAAI Conference on Artificial Intelligence (AAAI), Phoenix, Arizona, USA, 2016 (~25% acceptance rate). 

pdf

  

l     Xiao Wen, Linbo Qiao, Shiqian Ma, Wei Liu, and Hong Cheng
Sparse Subspace Clustering for Incomplete Images
IEEE International Conference on Computer Vision (ICCV) workshop, Santiago, Chine, 2015.

      pdf

 

l     Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, and John R. Smith
Top Rank Supervised Binary Coding for Visual Search
IEEE International Conference on Computer Vision (ICCV), Santiago, Chine, 2015 (19.62% acceptance rate).

 

l     Fumin Shen, Wei Liu, Shaoting Zhang, Yang Yang, and Heng Tao Shen
Learning Binary Codes for Maximum Inner Product Search
IEEE International Conference on Computer Vision (ICCV), Santiago, Chine, 2015 (19.62% acceptance rate).

 

l     Jinfeng Yi, Lijun Zhang, Tianbao Yang, and Wei Liu
An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Sydney, Australia, 2015 (full oral, 19.4% acceptance rate).  

pdf

 

l     Fumin Shen, Chunhua Shen, Wei Liu, and Heng Tao Shen
Supervised Discrete Hashing
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 2015 (~26% acceptance rate).

pdf  poster

 

l     Chen Gong, Dacheng Tao, Wei Liu, Stephen J. Maybank, Meng Fang, Keren Fu, and Jie Yang
Saliency Propagation from Simple to Difficult
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 2015 (~26% acceptance rate).

pdf  sup-material  poster

 

l     Junchi Yan, Chao Zhang, Hongyuan Zha, Wei Liu, Xiaokang Yang, and Stephen M. Chu
Discrete Hyper-graph Matching
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 2015 (~26% acceptance rate).

pdf  poster

 

l     Xianming Liu, Rongrong Ji, Changhu Wang, Wei Liu, Bineng Zhong, and Thomas S. Huang
Understanding Image Structure via Hierarchical Shape Parsing
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 2015 (~26% acceptance rate).

pdf  poster

 

l     Ling Cai, Rongrong Ji, Wei Liu, and Gang Hua
Modeling Inter- and Intra-Part Deformations for Object Structure Parsing
International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, 2015 (28.8% acceptance rate).

pdf

 

l     Cheng Deng, Zongting Lv, Wei Liu,  Junzhou Huang, Dacheng Tao, and Xinbo Gao
Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information
International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, 2015 (28.8% acceptance rate).

pdf

 

l     Wei Liu, Cun Mu, Rongrong Ji, Shiqian Ma, John R. Smith and Shih-Fu Chang
Low-Rank Similarity Metric Learning in High Dimensions
AAAI Conference on Artificial Intelligence (AAAI), Austin, Texas, USA, 2015 (26.67% acceptance rate). 

pdf  sup-material  slides

l     Zhouyu Fu, Feifei Pan, Cheng Deng, and Wei Liu
Optimizing Bag Features for Multiple-Instance Retrieval
AAAI Conference on Artificial Intelligence (AAAI), Austin, Texas, USA, 2015 (26.67% acceptance rate).

pdf  slides

 

l     Dongjin Song, Wei Liu, David A. Meyer, Dacheng Tao, and Rongrong Ji
Rank Preserving Hashing for Rapid Image Search
IEEE Data Compression Conference (DCC), Snowbird, UT, USA, 2015 (full oral).

pdf

 

l     Wei Liu, Cun Mu, Sanjiv Kumar, and Shih-Fu Chang
Discrete Graph Hashing
Advances in Neural Information Processing Systems (NIPS) 27, Montreal, Canada, 2014 (spotlight oral, 4.89% acceptance rate).
pdf  sup-material  slides

l     Yuanjun Xiong*, Wei Liu, Deli Zhao, and Xiaoou Tang
Zeta Hull Pursuits: Learning Nonconvex Data Hulls
Advances in Neural Information Processing Systems (NIPS) 27, Montreal, Canada, 2014 (24.67% acceptance rate).
pdf  sup-material

l     Wei Liu, Gang Hua, and John R. Smith
Unsupervised One-Class Learning for Automatic Outlier Removal
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, 2014 (oral, 5.75% acceptance rate).
pdf  slides  video

l     Chen Chen, Yeqing Li*, Wei Liu, and Junzhou Huang
Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, 2014 (oral, 5.75% acceptance rate).
pdf  video
 

l     Junchi Yan, Yin Li, Wei Liu, Hongyuan Zha, Xiaokang Yang, and Stephen M. Chu
Graduated Consistency-Regularized Optimization for Multi-graph Matching

European Conference on Computer Vision (ECCV), Zurich, Switzerland, 2014 (25.0% acceptance rate).
pdf

l     Yeqing Li*, Chen Chen, Wei Liu, and Junzhou Huang

Sub-Selective Quantization for Large-Scale Image Search
AAAI Conference on Artificial Intelligence (AAAI), Quebec City, Canada, 2014 (oral, 28.31% acceptance rate).
pdf

l     Qilin Zhang*, Gang Hua, Wei Liu, Zicheng Liu, and Zhengyou Zhang
Can Visual Recognition Benefit from Auxiliary Information in Training?‏
Asian Conference on Computer Vision (ACCV), Singapore, 2014 (oral, <4% acceptance rate).
pdf  sup-material

 

l     Hao Li*, Wei Liu, and Heng Ji

Two-Stage Hashing for Fast Document Retrieval

Annual Meeting of the Association for Computational Linguistics (ACL), Baltimore, Maryland, USA, 2014.
pdf

l     Weiwei Guo, Wei Liu, and Mona Diab

Fast Tweet Retrieval with Compact Binary Codes
International Conference on Computational Linguistics (Coling), Dublin, Ireland, 2014.

pdf

l     Yan Zhu, Shaoting Zhang, Wei Liu, and Dimitris N. Metaxas
Scalable Histopathological Image Analysis via Active Learning
Annual International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, MA, USA, 2014 (~10% acceptance rate).
Student Travel Award
pdf

l     Xiaofan Zhang, Lin Yang, Wei Liu, Hai Su, and Shaoting Zhang
Mining Histopathological Images via Composite Hashing and Online Learning
Annual International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, MA, USA, 2014 (~10% acceptance rate).
Student Travel Award
pdf

l     Xiaofan Zhang, Wei Liu, and Shaoting Zhang
Mining Histopathological Images via Hashing-Based Scalable Image Retrieval
IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, 2014.
Best Paper Travel Award (one of three award papers selected from about 600 submissions)
pdf

l     Jingjing Liu, Shaoting Zhang, Wei Liu, Xiaofan Zhang, and Dimitris N. Metaxas
Scalable Mammogram Retrieval Using Anchor Graph Hashing
IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, 2014.
pdf

l     Yuanjun Xiong*, Wei Liu, Deli Zhao, and Xiaoou Tang
Face Recognition via Archetype Hull Ranking
IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, 2013 (27.87% acceptance rate).
pdf  poster

l     Jun Wang, Wei Liu, Andy Sun, and Yu-Gang Jiang
Learning Hash Codes with Listwise Supervision
IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, 2013 (27.87% acceptance rate).
pdf

l     Cheng Deng, Rongrong Ji, Wei Liu, Dacheng Tao, and Xinbo Gao
Visual Reranking through Weakly Supervised Multi-Graph Learning
IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, 2013 (27.87% acceptance rate).
pdf

l     Jialong Wang, Cheng Deng, Wei Liu, Rongrong Ji, Xiangyu Chen, and Xinbo Gao
Query-Dependent Visual Dictionary Adaptation for Image Reranking
ACM International Conference on Multimedia (ACM MM), Barcelona, Spain, 2013 (short oral).
pdf

l     Tongtao Zhang*, Rongrong Ji, Wei Liu, Dacheng Tao, and Gang Hua
Semi-Supervised Learning with Manifold Fitted Graphs
International Joint Conference on Artificial Intelligence (IJCAI), Beijing, China, 2013 (28.0% acceptance rate).
pdf

l     Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar, and Shih-Fu Chang
Compact Hyperplane Hashing with Bilinear Functions
International Conference on Machine Learning (ICML), Edinburgh, Scotland, 2012 (oral, 27.3% acceptance rate).
pdf  sup-material  slides

l     Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, and Shih-Fu Chang
Supervised Hashing with Kernels

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, USA, 2012 (oral, 2.48% acceptance rate).
pdf  slides  video  code

l     Yu-Gang Jiang, Qi Dai, Xiangyang Xue, Wei Liu, and Chong-Wah Ngo
Trajectory-Based Modeling of Human Actions with Motion Reference Points

European Conference on Computer Vision (ECCV), Firenze, Italy, 2012 (28.4% acceptance rate).
pdf

l     Kun Zhao*, Wei Liu, and Jianzhuang Liu
Optimal Semi-Supervised Metric Learning for Image Retrieval

ACM International Conference on Multimedia (ACM MM), 2012 (short oral).
pdf

l     Liujuan Cao, Rongrong Ji, Wei Liu, Yue Gao, Ling-Yu Duan, and Chaoguang Men
Weakly Supervised Topic Grouping of YouTube Search Results

IEEE International Conference on Image Processing (ICIP), Orlando, Florida, USA, 2012.
pdf

l     Wei Liu, Jun Wang, Sanjiv Kumar, and Shih-Fu Chang
Hashing with Graphs

International Conference on Machine Learning (ICML), Bellevue, Washington, USA, 2011 (oral, 25.8% acceptance rate).
pdf  slides  video  code
  

l     Wei Liu, Yu-Gang Jiang, Jiebo Luo, and Shih-Fu Chang
Noise Resistant Graph Ranking for Improved Web Image Search

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, USA, 2011 (26.0% acceptance rate).
pdf  slides

l     Bin Xu, Jiajun Bu, Chun Chen, Deng Cai, Xiaofei He, Wei Liu, and Jiebo Luo

Efficient Manifold Ranking for Image Retrieval
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Beijing, China, 2011 (full oral, 19.8% acceptance rate).
pdf

l     Wei Liu  et al.
Semi-Supervised Sparse Metric Learning Using Alternating Linearization Optimization

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Washington DC, USA, 2010 (full oral, 13.3% acceptance rate).
pdf  video

l     Junfeng He, Wei Liu, and Shih-Fu Chang
Scalable Similarity Search with Optimized Kernel Hashing

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Washington DC, USA, 2010 (full oral, 13.3% acceptance rate).
pdf

l     Wei Liu, Junfeng He, and Shih-Fu Chang
Large Graph Construction for Scalable Semi-Supervised Learning
International Conference on Machine Learning (ICML), Haifa, Israel, 2010 (oral, 25.6% acceptance rate).
pdf  slides  code

l     Wei Liu  et al.
Constrained Metric Learning Via Distance Gap Maximization
AAAI Conference on Artificial Intelligence (AAAI), Atlanta, GA, USA, 2010 (oral, 26.9% acceptance rate).
pdf

 

l     Wei Liu and Shih-Fu Chang
Robust Multi-Class Transductive Learning with Graphs
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami Beach, Florida, USA, 2009 (26.2% acceptance rate).
pdf  slides  code

l     Wei Liu  et al.
Spectral Kernel Learning for Semi-Supervised Classification
International Joint Conference on Artificial Intelligence (IJCAI), Pasadena, CA, USA, 2009 (oral, 25.7% acceptance rate).
pdf

 

l     Wei Liu, Wei Jiang, and Shih-Fu Chang
Relevance Aggregation Projections for Image Retrieval
ACM International Conference on Image and Video Retrieval (now ICMR), Niagara Falls, Canada, 2008 (full oral).
pdf  slides

l     Steven C.H. Hoi, Wei Liu, and Shih-Fu Chang
Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, USA, 2008 (31.9% acceptance rate).
pdf  slides  code

l     Yiwen Luo*, Wei Liu, Jianzhuang Liu, and Xiaoou Tang
MQSearch: Image Search by Multi-Class Query
SIGCHI Conference on Human Factors in Computing Systems (CHI), Florence, Italy, 2008 (short oral).
pdf

l     Wei Liu  et al.
Output Regularized Metric Learning with Side Information
European Conference on Computer Vision (ECCV), Marseille, France, 2008 (27.9% acceptance rate).
pdf

l     Wei Liu  et al.
Transductive Component Analysis
IEEE International Conference on Data Mining (ICDM), Pisa, Italy, 2008 (full oral, 9.7% acceptance rate).
pdf

l     Wei Liu, Xiaoou Tang, and Jianzhuang Liu
Bayesian Tensor Inference for Sketch-based Facial Photo Hallucination
International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, 2007 (oral, 15.7% acceptance rate).
pdf  slides

l     Yuandong Tian, Wei Liu, Rong Xiao, Fang Wen, and Xiaoou Tang
A Face Annotation Framework with Partial Clustering and Interactive Labeling
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, Minnesota, USA, 2007 (28.2% acceptance rate).
pdf  slides

l     Steven C.H. Hoi, Wei Liu, Michael R. Lyu, and Wei-Ying Ma
Learning Distance Metrics with Contextual Constraints for Image Retrieval
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York, NY, USA, 2006 (28.1% acceptance rate).
pdf  slides

l     Wei Liu, Zhifeng Li, and Xiaoou Tang
Spatio-temporal Embedding for Statistical Face Recognition from Video
European Conference on Computer Vision (ECCV), Graz, Austria, 2006 (21.4% acceptance rate).
pdf  slides

l     Wei Liu, Dahua Lin, and Xiaoou Tang
Hallucinating Faces: TensorPatch Super-Resolution and Coupled Residue Compensation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA, USA, 2005 (oral, 6.4% acceptance rate).
pdf  slides

l     Zhifeng Li, Wei Liu, Dahua Lin, and Xiaoou Tang
Nonparametric Subspace Analysis for Face Recognition
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA, USA, 2005 (27.9% acceptance rate).
pdf

l     Wei Liu and Xiaoou Tang
Learning an Image-Word Embedding for Image Auto-Annotation on the Nonlinear Latent Space
ACM International Conference on Multimedia (ACM MM), Singapore, 2005 (short oral).
pdf

l     Wei Liu, Dahua Lin, and Xiaoou Tang
Neighbor Combination and Transformation for Hallucinating Faces
IEEE International Conference on Multimedia and Expo (ICME), Amsterdam, Netherlands, 2005 (oral).
pdf

l     Dahua Lin, Wei Liu, and Xiaoou Tang
Layered Local Prediction Network with Dynamic Learning for Face Super-Resolution
IEEE International Conference on Image Processing (ICIP), Genova, Italy, 2005.
pdf

l     Wei Liu, Dahua Lin, and Xiaoou Tang
Face Hallucination Through Dual Associative Learning
IEEE International Conference on Image Processing (ICIP), Genova, Italy, 2005.
pdf

l     Wei Liu et al.
Local Manifold Matching for Face Recognition
IEEE International Conference on Image Processing (ICIP), Genova, Italy, 2005.
pdf

l     Wei Liu et al.
Null Space-based Kernel Fisher Discriminant Analysis for Face Recognition
IEEE International Conference on Automatic Face and Gesture Recognition (FGR), Seoul, Korea, 2004.
pdf

l     Wei Liu et al.
Nearest Intra-Class Space Classifier for Face Recognition
International Conference on Pattern Recognition (ICPR), Cambridge, UK, 2004.
pdf

l     Wei Fan, Yunhong Wang, Wei Liu, and Tieniu Tan
Combining Null Space-based Gabor Features for Face Recognition
International Conference on Pattern Recognition (ICPR), Cambridge, UK, 2004.
pdf

 

Earlier Papers
 

Hang Yu, Wei Liu, and Yiping Han
What If Another Floyd? - Escaping a Hurricane's Wrath
The 17th Annual International Mathematical Contest in Modeling (MCM), Meritorious Award Paper, USA, 2001.
Problem  Paper

Wei Liu, Yiping Han, and Hang Yu
Channel Assignment Strategies for Cellular Phone Systems
The 16th Annual International Mathematical Contest in Modeling (MCM), Meritorious Award Paper, USA, 2000.
Problem  Paper

 

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