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ORCIDJi Liu 0002
刘霁
Person information
- unicode name: 刘霁
- affiliation: University of Rochester, Department of Computer Science, NY, USA
- affiliation: Tencent AI Lab, China
- affiliation: University of Wisconsin-Madison, Department of Computer Sciences
- affiliation: Arizona State University, Department of Computer Science and Engineering
Other persons with the same name
- Ji Liu — disambiguation page
- Ji Liu 0001
![[0000-0003-2871-9888]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2871-9888")
— Stony Brook University, NY, USA (and 2 more) - Ji Liu 0003 — MSR - Inria Joint Centre, INRIA Sophia-Antipolis Méditerranée, LIRMM, France (and 1 more)
- Ji Liu 0004 — Pennsylvania State University, Department of Mechanical and Nuclear Engineering, University Park, PA, USA
- Ji Liu 0005 — University of Science and Technology Beijing, School of Computer and Communication Engineering, China (and 1 more)
- Ji Liu 0006 — Chongqing University, College of Computer Science, China
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2020 – today
- 2020
[j29]Ji Liu, Ce Zhang:
Distributed Learning Systems with First-Order Methods. Found. Trends Databases 9(1): 1-100 (2020)- [j28]Hongyu Xu, Zhangyang Wang, Haichuan Yang, Ding Liu, Ji Liu:
Learning Simple Thresholded Features With Sparse Support Recovery. IEEE Trans. Circuits Syst. Video Technol. 30(4): 983-997 (2020) - [j27]Xingxing Zhang, Shupeng Gui, Zhenfeng Zhu, Yao Zhao, Ji Liu:
Hierarchical Prototype Learning for Zero-Shot Recognition. IEEE Trans. Multim. 22(7): 1692-1703 (2020) - [c48]Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu:
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach. CVPR 2020: 2175-2185 - [c47]Lin Huang, Jianchao Tan, Ji Liu, Junsong Yuan:
Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation. ECCV (25) 2020: 17-33 - [c46]Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang:
GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework. ECCV (4) 2020: 54-73 - [c45]Lin Huang, Jianchao Tan, Jingjing Meng, Ji Liu, Junsong Yuan:
HOT-Net: Non-Autoregressive Transformer for 3D Hand-Object Pose Estimation. ACM Multimedia 2020: 3136-3145 - [c44]Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang:
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free. NeurIPS 2020 - [i39]Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik:
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity. CoRR abs/2006.03976 (2020) - [i38]Bo Liu, Sridhar Mahadevan, Ji Liu:
Regularized Off-Policy TD-Learning. CoRR abs/2006.05314 (2020) - [i37]Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang:
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework. CoRR abs/2008.11062 (2020) - [i36]Hanlin Tang, Shaoduo Gan, Samyam Rajbhandari, Xiangru Lian, Ji Liu, Yuxiong He, Ce Zhang:
APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm. CoRR abs/2008.11343 (2020) - [i35]Runze Su, Fei Tao, Xudong Liu, Haoran Wei, Xiaorong Mei, Zhiyao Duan, Lei Yuan, Ji Liu, Yuying Xie:
Themes Inferred Audio-visual Correspondence Learning. CoRR abs/2009.06573 (2020) - [i34]Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang:
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free. CoRR abs/2010.11828 (2020)
2010 – 2019
- 2019
- [j26]Dongdong Hou, Yang Cong, Gan Sun, Ji Liu, Xiaowei Xu:
Anomaly detection via adaptive greedy model. Neurocomputing 330: 369-379 (2019) - [j25]Gan Sun, Yang Cong, Ji Liu, Lianqing Liu, Xiaowei Xu, Haibin Yu:
Lifelong Metric Learning. IEEE Trans. Cybern. 49(8): 3168-3179 (2019) - [j24]Xingxing Zhang, Zhenfeng Zhu, Yao Zhao, Dongxia Chang, Ji Liu:
Seeing All From a Few: ℓ1-Norm-Induced Discriminative Prototype Selection. IEEE Trans. Neural Networks Learn. Syst. 30(7): 1954-1966 (2019) - [j23]Ke Ren, Haichuan Yang, Yu Zhao, Wu Chen, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu:
A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3072-3083 (2019) - [c43]Xiangru Lian, Ji Liu:
Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization. AISTATS 2019: 3254-3263 - [c42]Aditya R. Bhattacharya, Ji Liu, Shayok Chakraborty:
A Generic Active Learning Framework for Class Imbalance Applications. BMVC 2019: 121 - [c41]Haichuan Yang, Yuhao Zhu, Ji Liu:
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. CVPR 2019: 11206-11215 - [c40]Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu:
Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications. ICLR (Poster) 2019 - [c39]Haichuan Yang, Yuhao Zhu, Ji Liu:
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking. ICLR (Poster) 2019 - [c38]Hanlin Tang, Chen Yu, Xiangru Lian, Tong Zhang, Ji Liu:
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression. ICML 2019: 6155-6165 - [c37]Chen Yu, Hanlin Tang, Cédric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ce Zhang, Ji Liu:
Distributed Learning over Unreliable Networks. ICML 2019: 7202-7212 - [c36]Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu:
Model Compression with Adversarial Robustness: A Unified Optimization Framework. NeurIPS 2019: 1283-1294 - [c35]Huizhuo Yuan, Xiangru Lian, Chris Junchi Li, Ji Liu, Wenqing Hu:
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent. NeurIPS 2019: 6926-6935 - [i33]Shupeng Gui, Haotao Wang, Chen Yu, Haichuan Yang, Zhangyang Wang, Ji Liu:
Adversarially Trained Model Compression: When Robustness Meets Efficiency. CoRR abs/1902.03538 (2019) - [i32]Hanlin Tang, Xiangru Lian, Tong Zhang, Ji Liu:
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. CoRR abs/1905.05957 (2019) - [i31]Hanlin Tang, Xiangru Lian, Shuang Qiu, Lei Yuan, Ce Zhang, Tong Zhang, Ji Liu:
DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. CoRR abs/1907.07346 (2019) - [i30]Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu:
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions. CoRR abs/1909.12903 (2019) - [i29]Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu:
Learning Sparsity and Quantization Jointly and Automatically for Neural Network Compression via Constrained Optimization. CoRR abs/1910.05897 (2019) - [i28]Xingxing Zhang, Shupeng Gui, Zhenfeng Zhu, Yao Zhao, Ji Liu:
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries. CoRR abs/1910.10994 (2019) - [i27]Xingxing Zhang, Shupeng Gui, Zhenfeng Zhu, Yao Zhao, Ji Liu:
Hierarchical Prototype Learning for Zero-Shot Recognition. CoRR abs/1910.11671 (2019) - [i26]Huizhuo Yuan, Xiangru Lian, Ji Liu:
Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization. CoRR abs/1912.13515 (2019) - 2018
- [j22]Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik:
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity. J. Artif. Intell. Res. 63: 461-494 (2018) - [j21]Randy Ardywibowo, Shuai Huang, Shupeng Gui, Cao Xiao, Yu Cheng, Ji Liu, Xiaoning Qian:
Switching-State Dynamical Modeling of Daily Behavioral Data. J. Heal. Informatics Res. 2(3): 228-247 (2018) - [j20]Yang Cong, Gan Sun, Ji Liu, Haibin Yu, Jiebo Luo:
User attribute discovery with missing labels. Pattern Recognit. 73: 33-46 (2018) - [j19]Tian Li, Jie Zhong, Ji Liu, Wentao Wu, Ce Zhang:
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads. Proc. VLDB Endow. 11(5): 607-620 (2018) - [j18]Bojan Karlas, Ji Liu, Wentao Wu, Ce Zhang:
Ease.ml in Action: Towards Multi-tenant Declarative Learning Services. Proc. VLDB Endow. 11(12): 2054-2057 (2018) - [j17]Cao Xiao, Yan Jin, Ji Liu, Bo Zeng, Shuai Huang:
Optimal Expert Knowledge Elicitation for Bayesian Network Structure Identification. IEEE Trans Autom. Sci. Eng. 15(3): 1163-1177 (2018) - [j16]Yang Cong, Ji Liu, Baojie Fan, Peng Zeng, Haibin Yu, Jiebo Luo:
Online Similarity Learning for Big Data with Overfitting. IEEE Trans. Big Data 4(1): 78-89 (2018) - [c34]Xiangru Lian, Wei Zhang, Ce Zhang, Ji Liu:
Asynchronous Decentralized Parallel Stochastic Gradient Descent. ICML 2018: 3049-3058 - [c33]Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu:
D2: Decentralized Training over Decentralized Data. ICML 2018: 4855-4863 - [c32]Hanlin Tang, Shaoduo Gan, Ce Zhang, Tong Zhang, Ji Liu:
Communication Compression for Decentralized Training. NeurIPS 2018: 7663-7673 - [i25]Hanlin Tang, Ce Zhang, Shaoduo Gan, Tong Zhang, Ji Liu:
Decentralization Meets Quantization. CoRR abs/1803.06443 (2018) - [i24]Chen Yu, Bojan Karlas, Jie Zhong, Ce Zhang, Ji Liu:
Multi-device, Multi-tenant Model Selection with GP-EI. CoRR abs/1803.06561 (2018) - [i23]Ke Ren, Haichuan Yang, Yu Zhao, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu:
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. CoRR abs/1803.06604 (2018) - [i22]Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu:
D2: Decentralized Training over Decentralized Data. CoRR abs/1803.07068 (2018) - [i21]Zhangyang Wang, Hongyu Xu, Haichuan Yang, Ding Liu, Ji Liu:
Learning Simple Thresholded Features with Sparse Support Recovery. CoRR abs/1804.05515 (2018) - [i20]Shupeng Gui, Xiangliang Zhang, Shuang Qiu, Mingrui Wu, Jieping Ye, Ji Liu:
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning. CoRR abs/1805.11182 (2018) - [i19]Haichuan Yang, Yuhao Zhu, Ji Liu:
End-to-End Learning of Energy-Constrained Deep Neural Networks. CoRR abs/1806.04321 (2018) - [i18]Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu:
Marginal Policy Gradients for Complex Control. CoRR abs/1806.05134 (2018) - [i17]Xiangru Lian, Ji Liu:
Revisit Batch Normalization: New Understanding from an Optimization View and a Refinement via Composition Optimization. CoRR abs/1810.06177 (2018) - [i16]Hanlin Tang, Chen Yu, Cédric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ji Liu, Ce Zhang:
Distributed Learning over Unreliable Networks. CoRR abs/1810.07766 (2018) - [i15]Haichuan Yang, Yuhao Zhu, Ji Liu:
ECC: Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. CoRR abs/1812.01803 (2018) - 2017
- [j15]Shupeng Gui, Andrew P. Rice, Rui Chen, Liang Wu, Ji Liu, Hongyu Miao:
A scalable algorithm for structure identification of complex gene regulatory network from temporal expression data. BMC Bioinform. 18(1): 74:1-74:13 (2017) - [j14]Chuyang Ke, Yan Jin, Heather L. Evans, Bill Lober, Xiaoning Qian, Ji Liu, Shuai Huang:
Prognostics of surgical site infections using dynamic health data. J. Biomed. Informatics 65: 22-33 (2017) - [j13]Yijun Huang, Qiang Meng, Heather L. Evans, William B. Lober, Yu Cheng, Xiaoning Qian, Ji Liu, Shuai Huang:
CHI: A contemporaneous health index for degenerative disease monitoring using longitudinal measurements. J. Biomed. Informatics 73: 115-124 (2017) - [j12]Yang Cong, Ji Liu, Gan Sun, Quanzeng You, Yuncheng Li, Jiebo Luo:
Adaptive Greedy Dictionary Selection for Web Media Summarization. IEEE Trans. Image Process. 26(1): 185-195 (2017) - [c31]Xiangru Lian, Mengdi Wang, Ji Liu:
Finite-sum Composition Optimization via Variance Reduced Gradient Descent. AISTATS 2017: 1159-1167 - [c30]Zhangyang Wang, Ji Liu, Shuai Huang, Xinchao Wang, Shiyu Chang:
Transformed Anti-Sparse Hashing. BMVC 2017 - [c29]Haichuan Yang, Shupeng Gui, Chuyang Ke, Daniel Stefankovic, Ryohei Fujimaki, Ji Liu:
On The Projection Operator to A Three-view Cardinality Constrained Set. ICML 2017: 3871-3880 - [c28]Hantian Zhang, Jerry Li, Kaan Kara, Dan Alistarh, Ji Liu, Ce Zhang:
ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning. ICML 2017: 4035-4043 - [c27]Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu:
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent. NIPS 2017: 5330-5340 - [i14]Haichuan Yang, Shupeng Gui, Chuyang Ke, Daniel Stefankovic, Ryohei Fujimaki, Ji Liu:
On The Projection Operator to A Three-view Cardinality Constrained Set. CoRR abs/1703.07345 (2017) - [i13]Gan Sun, Yang Cong, Ji Liu, Xiaowei Xu:
Lifelong Metric Learning. CoRR abs/1705.01209 (2017) - [i12]Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu:
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent. CoRR abs/1705.09056 (2017) - [i11]Tian Li, Jie Zhong, Ji Liu, Wentao Wu, Ce Zhang:
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads. CoRR abs/1708.07308 (2017) - [i10]Xiangru Lian, Wei Zhang, Ce Zhang, Ji Liu:
Asynchronous Decentralized Parallel Stochastic Gradient Descent. CoRR abs/1710.06952 (2017) - 2016
- [j11]Ji Liu, Stephen J. Wright:
An accelerated randomized Kaczmarz algorithm. Math. Comput. 85(297): 153-178 (2016) - [c26]Lam Tran, Deguang Kong, Hongxia Jin, Ji Liu:
Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features. AAAI 2016: 1317-1323 - [c25]Deguang Kong, Ji Liu, Bo Liu, Xuan Bao:
Uncorrelated Group LASSO. AAAI 2016: 1765-1771 - [c24]Haichuan Yang, Yijun Huang, Lam Tran, Ji Liu, Shuai Huang:
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity. CVPR 2016: 5945-5954 - [c23]Wei Zhang, Suyog Gupta, Xiangru Lian, Ji Liu:
Staleness-Aware Async-SGD for Distributed Deep Learning. IJCAI 2016: 2350-2356 - [c22]Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik:
Proximal Gradient Temporal Difference Learning Algorithms. IJCAI 2016: 4195-4199 - [c21]Haichuan Yang, Ryohei Fujimaki, Yukitaka Kusumura, Ji Liu:
Online Feature Selection: A Limited-Memory Substitution Algorithm and Its Asynchronous Parallel Variation. KDD 2016: 1945-1954 - [c20]Xiangru Lian, Huan Zhang, Cho-Jui Hsieh, Yijun Huang, Ji Liu:
A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order. NIPS 2016: 3054-3062 - [c19]Yang You, Xiangru Lian, Ji Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, James Demmel, Cho-Jui Hsieh:
Asynchronous Parallel Greedy Coordinate Descent. NIPS 2016: 4682-4690 - [i9]Chuyang Ke, Yan Jin, Heather L. Evans, Bill Lober, Xiaoning Qian, Ji Liu, Shuai Huang:
Prognostics of Surgical Site Infections using Dynamic Health Data. CoRR abs/1611.04049 (2016) - [i8]Hantian Zhang, Kaan Kara, Jerry Li, Dan Alistarh, Ji Liu, Ce Zhang:
ZipML: An End-to-end Bitwise Framework for Dense Generalized Linear Models. CoRR abs/1611.05402 (2016) - 2015
- [j10]Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar:
An asynchronous parallel stochastic coordinate descent algorithm. J. Mach. Learn. Res. 16: 285-322 (2015) - [j9]Yang Cong, Shuai Wang, Ji Liu, Jun Cao, Yunsheng Yang, Jiebo Luo:
Deep sparse feature selection for computer aided endoscopy diagnosis. Pattern Recognit. 48(3): 907-917 (2015) - [j8]Ji Liu, Stephen J. Wright:
Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties. SIAM J. Optim. 25(1): 351-376 (2015) - [j7]Yang Cong, Baojie Fan, Ji Liu, Jiebo Luo, Haibin Yu:
Speeded Up Low-Rank Online Metric Learning for Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 25(6): 922-934 (2015) - [c18]Mohammad Iftekhar Tanveer, Ji Liu, Mohammed (Ehsan) Hoque:
Unsupervised Extraction of Human-Interpretable Nonverbal Behavioral Cues in a Public Speaking Scenario. ACM Multimedia 2015: 863-866 - [c17]Xiangru Lian, Yijun Huang, Yuncheng Li, Ji Liu:
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization. NIPS 2015: 2737-2745 - [c16]Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik:
Finite-Sample Analysis of Proximal Gradient TD Algorithms. UAI 2015: 504-513 - [i7]Xiangru Lian, Yijun Huang, Yuncheng Li, Ji Liu:
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization. CoRR abs/1506.08272 (2015) - [i6]Yijun Huang, Ji Liu:
Exclusive Sparsity Norm Minimization with Random Groups via Cone Projection. CoRR abs/1510.07925 (2015) - [i5]Wei Zhang, Suyog Gupta, Xiangru Lian, Ji Liu:
Staleness-aware Async-SGD for Distributed Deep Learning. CoRR abs/1511.05950 (2015) - 2014
- [c15]Maxwell D. Collins, Ji Liu, Jia Xu, Lopamudra Mukherjee, Vikas Singh:
Spectral Clustering with a Convex Regularizer on Millions of Images. ECCV (3) 2014: 282-298 - [c14]Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar:
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm. ICML 2014: 469-477 - [c13]Ji Liu, Jieping Ye, Ryohei Fujimaki:
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint. ICML 2014: 503-511 - [c12]Deguang Kong, Ryohei Fujimaki, Ji Liu, Feiping Nie, Chris H. Q. Ding:
Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm. NIPS 2014: 1655-1663 - [p1]Yang Cong, Ji Liu, Junsong Yuan, Jiebo Luo:
Low-Rank Online Metric Learning. Low-Rank and Sparse Modeling for Visual Analysis 2014: 203-233 - [i4]Ji Liu, Stephen J. Wright, Srikrishna Sridhar:
An Asynchronous Parallel Randomized Kaczmarz Algorithm. CoRR abs/1401.4780 (2014) - [i3]Sridhar Mahadevan, Bo Liu, Philip S. Thomas, William Dabney, Stephen Giguere, Nicholas Jacek, Ian Gemp, Ji Liu:
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces. CoRR abs/1405.6757 (2014) - 2013
- [j6]Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping Ye:
Tensor Completion for Estimating Missing Values in Visual Data. IEEE Trans. Pattern Anal. Mach. Intell. 35(1): 208-220 (2013) - [j5]Yang Cong, Junsong Yuan, Ji Liu:
Abnormal event detection in crowded scenes using sparse representation. Pattern Recognit. 46(7): 1851-1864 (2013) - [j4]Yang Cong, Ji Liu, Junsong Yuan, Jiebo Luo:
Self-Supervised Online Metric Learning With Low Rank Constraint for Scene Categorization. IEEE Trans. Image Process. 22(8): 3179-3191 (2013) - [c11]Ji Liu, Lei Yuan, Jieping Ye:
Guaranteed Sparse Recovery under Linear Transformation. ICML (3) 2013: 91-99 - [c10]Srikrishna Sridhar, Stephen J. Wright, Christopher Ré, Ji Liu, Victor Bittorf, Ce Zhang:
An Approximate, Efficient LP Solver for LP Rounding. NIPS 2013: 2895-2903 - [i2]Srikrishna Sridhar, Victor Bittorf, Ji Liu, Ce Zhang, Christopher Ré, Stephen J. Wright:
An Approximate, Efficient Solver for LP Rounding. CoRR abs/1311.2661 (2013) - 2012
- [j3]Ji Liu, Peter Wonka, Jieping Ye:
A Multi-Stage Framework for Dantzig Selector and LASSO. J. Mach. Learn. Res. 13: 1189-1219 (2012) - [j2]Ji Liu, Jun Liu, Peter Wonka, Jieping Ye:
Sparse non-negative tensor factorization using columnwise coordinate descent. Pattern Recognit. 45(1): 649-656 (2012) - [j1]Jianhui Chen, Ji Liu, Jieping Ye:
Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks. ACM Trans. Knowl. Discov. Data 5(4): 22:1-22:31 (2012) - [c9]Bo Liu, Sridhar Mahadevan, Ji Liu:
Regularized Off-Policy TD-Learning. NIPS 2012: 845-853 - [i1]Ji Liu, Stephen J. Wright:
Robust Dequantized Compressive Sensing. CoRR abs/1207.0577 (2012) - 2011
- [c8]Yang Cong, Junsong Yuan, Ji Liu:
Sparse reconstruction cost for abnormal event detection. CVPR 2011: 3449-3456 - 2010
- [c7]Jianhui Chen, Ji Liu, Jieping Ye:
Learning incoherent sparse and low-rank patterns from multiple tasks. KDD 2010: 1179-1188 - [c6]Ji Liu, Peter Wonka, Jieping Ye:
Multi-Stage Dantzig Selector. NIPS 2010: 1450-1458
2000 – 2009
- 2009
- [c5]Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping Ye:
Tensor completion for estimating missing values in visual data. ICCV 2009: 2114-2121 - 2008
- [c4]Ji Liu, Yang Cong, Xiaomao Li, Yuechao Wang, Yandong Tang, Chuan Zhou:
Lunar terrain reconstruction using PDEs. ICIP 2008: 1504-1507 - [c3]Ji Liu, Yuechao Wang, Chuan Zhou, Yanfeng Geng, Yang Cong:
A navigation simulation system of lunar rover. ICNSC 2008: 556-561 - [c2]Yang Cong, Xiaomao Li, Ji Liu, Yandong Tang:
A Stairway Detection Algorithm based on Vision for UGV Stair Climbing. ICNSC 2008: 1806-1811 - [c1]Ji Liu, Junjian Peng, Yuechao Wang, Yandong Tang:
A PDES Method Preserving Boundaries on Dense Disparity Map Reconstruction. VISAPP (2) 2008: 655-661
Coauthor Index