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ORCIDJi Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Ji Liu 0001
![[0000-0001-9679-6303]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9679-6303")
— Stony Brook University, NY, USA (and 2 more) - Ji Liu 0002 — Kwai Inc., Seattle AI Lab, WA, USA (and 5 more)
- Ji Liu 0003 — Baidu Inc., Baidu Research, Beijing, China (and 2 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
- Ji Liu 0007 — Argonne National Laboratory, USA
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2020 – today
- 2023
[j35]Shuai Li, Liang Liu, Ji Liu, Wenfeng Song, Aimin Hao, Hong Qin:
SC-GAN: Subspace Clustering based GAN for Automatic Expression Manipulation. Pattern Recognit. 134: 109072 (2023)- [j34]Liu Liu, Ji Liu, Cho-Jui Hsieh, Dacheng Tao:
Stochastically Controlled Compositional Gradient for Composition Problems. IEEE Trans. Neural Networks Learn. Syst. 34(2): 611-622 (2023) - [i40]Ji Liu, Max Bowman, Pranav Gokhale, Siddharth Dangwal, Jeffrey Larson, Frederic T. Chong, Paul D. Hovland:
QContext: Context-Aware Decomposition for Quantum Gates. CoRR abs/2302.02003 (2023) - [i39]Ji Liu, Xuehai Zhou, Lei Mo, Shilei Ji, Yuan Liao, Zheng Li, Qin Gu, Dejing Dou:
Distributed and Deep Vertical Federated Learning with Big Data. CoRR abs/2303.04574 (2023) - 2022
- [j33]Weilong Ding, Ji Liu, Zhongguo Yang, Bo Lv, Han Li, Hanchuan Xu:
A multi-tenancy and robust workflow management system. Expert Syst. J. Knowl. Eng. 39(6) (2022) - [j32]Ji Liu, Yuesheng Zhu:
Mutually activated residual linear modeling GAN for pose-guided person image generation. Neurocomputing 514: 451-463 (2022) - [j31]Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Lingjuan Lyu, Ji Liu:
Data Poisoning Attacks on Federated Machine Learning. IEEE Internet Things J. 9(13): 11365-11375 (2022) - [j30]Ji Liu, Yuesheng Zhu:
Precise Correspondence Enhanced GAN for Person Image Generation. Neural Process. Lett. 54(6): 5125-5142 (2022) - [j29]Ji Liu, Xiao Liang, Wenxi Ruan, Bo Zhang:
High-performance medical data processing technology based on distributed parallel machine learning algorithm. J. Supercomput. 78(4): 5933-5956 (2022) - [c59]Haowei Zhu, Wenjing Ke, Dong Li, Ji Liu, Lu Tian, Yi Shan:
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification. CVPR 2022: 4682-4692 - [c58]Qinghang Hong, Fengming Liu, Dong Li, Ji Liu, Lu Tian, Yi Shan:
Dynamic Sparse R-CNN. CVPR 2022: 4713-4722 - [c57]Xiufeng Xie, Ning Zhou, Wentao Zhu, Ji Liu:
Bandwidth-Aware Adaptive Codec for DNN Inference Offloading in IoT. ECCV (38) 2022: 88-104 - [c56]Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Sen Yang, Ji Liu, Jian Cheng:
Multi-granularity Pruning for Model Acceleration on Mobile Devices. ECCV (11) 2022: 484-501 - [c55]Ji Liu, Zheng Xu, Yilin Sai, Yanmei Zhang, Dong Yuan, Shiping Chen:
i-Bond: A Next Generation Bond's Issuing Service System. ICBC 2022: 29-47 - [c54]Ji Liu, Zenan Li, Yuan Yao, Feng Xu, Xiaoxing Ma, Miao Xu, Hanghang Tong:
Fair Representation Learning: An Alternative to Mutual Information. KDD 2022: 1088-1097 - [c53]Qi Zhong, Qian Wang, Ji Liu:
Combining Knowledge and Multi-modal Fusion for Meme Classification. MMM (1) 2022: 599-611 - [i38]Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Ji Liu, Gang Kou:
Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks. CoRR abs/2201.04965 (2022) - [i37]Yu Zhao, Shaopeng Wei, Yu Guo, Qing Yang, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou:
Bankruptcy Prediction via Mixing Intra-Risk and Spillover-Risk. CoRR abs/2202.03874 (2022) - [i36]Qinghang Hong, Fengming Liu, Dong Li, Ji Liu, Lu Tian, Yi Shan:
Dynamic Sparse R-CNN. CoRR abs/2205.02101 (2022) - [i35]Haowei Zhu, Wenjing Ke, Dong Li, Ji Liu, Lu Tian, Yi Shan:
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification. CoRR abs/2205.02151 (2022) - [i34]Zhenyu Hu, Zhenyu Wu, Pengcheng Pi, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu:
E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles. CoRR abs/2206.02281 (2022) - [i33]Ji Liu, Dong Li, Zekun Li, Han Liu, Wenjing Ke, Lu Tian, Yi Shan:
HPS-Det: Dynamic Sample Assignment with Hyper-Parameter Search for Object Detection. CoRR abs/2207.11539 (2022) - [i32]Shaojie Min, Ji Liu:
Modeling Multi-Dimensional Datasets via a Fast Scale-Free Network Model. CoRR abs/2211.02811 (2022) - [i31]Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi:
Hybrid Gate-Pulse Model for Variational Quantum Algorithms. CoRR abs/2212.00661 (2022) - 2021
- [j28]Jinhui Wu, Ji Liu:
Velocity Measurement of a Highspeed Underwater Projectile With Laser Barriers. IEEE Access 9: 61193-61199 (2021) - [j27]Ji Liu, Zheng Xu, Ruiqiang Li, Hang Zhao, Hongbo Jiang, Jinhui Yao, Dong Yuan, Shiping Chen:
Applying blockchain for primary financial market: A survey. IET Blockchain 1(2-4): 65-81 (2021) - [j26]Ji Liu, Shiping Chen, Hang Zhao, Jiyuan Yang, Yu Shi, Ruiqiang Li, Dong Yuan:
ServiceNet: A Service Network for Peer to Peer. Int. J. Syst. Serv. Oriented Eng. 11(2): 52-66 (2021) - [j25]Jinbao Feng, Jinhui Wu, Yu Si, Yubin Gao, Ji Liu, Gao Wang:
Reconstruction of Velocity Curve in Long Stroke and High Dynamic Range Laser Interferometry. Sensors 21(22): 7520 (2021) - [j24]Jianqiao Wangni, Dahua Lin, Ji Liu, Kostas Daniilidis, Jianbo Shi:
Towards Statistically Provable Geometric 3D Human Pose Recovery. SIAM J. Imaging Sci. 14(1): 246-270 (2021) - [c52]Xichuan Zhou, Kui Liu, Cong Shi, Haijun Liu, Ji Liu:
Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization. AAAI 2021: 3590-3598 - [c51]Yu Zhao, Han Zhou, Ruobing Xie, Fuzhen Zhuang, Qing Li, Ji Liu:
Incorporating Global Information in Local Attention for Knowledge Representation Learning. ACL/IJCNLP (Findings) 2021: 1341-1351 - [c50]Ji Liu, Dong Li, Rongzhang Zheng, Lu Tian, Yi Shan:
RankDetNet: Delving Into Ranking Constraints for Object Detection. CVPR 2021: 264-273 - [c49]Tiantian Han, Dong Li, Ji Liu, Lu Tian, Yi Shan:
Improving Low-Precision Network Quantization via Bin Regularization. ICCV 2021: 5241-5250 - [c48]Ji Liu, Yunpeng Zhao:
Role-oriented Task Allocation in Human-Machine Collaboration System. ICISCAE (IEEE) 2021: 243-248 - [c47]Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu:
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments. ICLR 2021 - [c46]Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe:
Streaming Bayesian Deep Tensor Factorization. ICML 2021: 3133-3142 - [c45]Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu:
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning. ICML 2021: 12333-12344 - [c44]Ji Liu, Shiping Chen:
A Blockchain-Based Autonomous System for Primary Financial Market. ICSOC Workshops 2021: 278-282 - [c43]Bo Lv, Weilong Ding, Ji Liu:
Cache-based Executive Request Dispatching Method in The Distributed Workflow System. SERVICES 2021: 115-120 - [i30]Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu:
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments. CoRR abs/2101.08152 (2021) - [i29]Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu:
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning. CoRR abs/2106.06135 (2021) - [i28]Xiangyan Sun, Ke Liu, Yuquan Lin, Lingjie Wu, Haoming Xing, Minghong Gao, Ji Liu, Suocheng Tan, Zekun Ni, Qi Han, Junqiu Wu, Jie Fan:
ChemiRise: a data-driven retrosynthesis engine. CoRR abs/2108.04682 (2021) - [i27]Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Ji Liu, Jian Cheng:
Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices. CoRR abs/2110.08013 (2021) - [i26]Yu Zhao, Jia Song, Huali Feng, Fuzhen Zhuang, Qing Li, Xiaojie Wang, Ji Liu:
Deep Keyphrase Completion. CoRR abs/2111.01910 (2021) - [i25]Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou:
Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning. CoRR abs/2112.13078 (2021) - 2020
- [j23]Xiong Cheng, Ying-Ling Tang, Ji Liu, Hao Zhong, Wen-Wu Li, Ya-Liang Wu:
Ultrashort-Term Scheduling of Interbasin Cascaded Hydropower Plants to Rapidly Balance the Load Demand. IEEE Access 8: 32737-32756 (2020) - [j22]Jun Lu, Bo Liang, Qujiang Lei, Xiuhao Li, Junhao Liu, Ji Liu, Jie Xu, Weijun Wang:
SCueU-Net: Efficient Damage Detection Method for Railway Rail. IEEE Access 8: 125109-125120 (2020) - [j21]Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou:
Tempura: A General Cost-Based Optimizer Framework for Incremental Data Processing. Proc. VLDB Endow. 14(1): 14-27 (2020) - [j20]Lei Zhang, Ji Liu, Yang Yang, Fuxiang Huang, Feiping Nie, David Zhang:
Optimal Projection Guided Transfer Hashing for Image Retrieval. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3788-3802 (2020) - [j19]Lei Zhang, Ji Liu, Bob Zhang, David Zhang, Ce Zhu:
Deep Cascade Model-Based Face Recognition: When Deep-Layered Learning Meets Small Data. IEEE Trans. Image Process. 29: 1016-1029 (2020) - [j18]Lei Zhang, Ji Liu, Fuxiang Huang, Yang Yang, David Zhang:
Deep-Like Hashing-in-Hash for Visual Retrieval: An Embarrassingly Simple Method. IEEE Trans. Image Process. 29: 8149-8162 (2020) - [j17]Wenfeng Song, Shuai Li, Ji Liu, Aimin Hao, Qinping Zhao, Hong Qin:
Contextualized CNN for Scene-Aware Depth Estimation From Single RGB Image. IEEE Trans. Multim. 22(5): 1220-1233 (2020) - [c42]Ranran Huang, Hanbo Sun, Ji Liu, Lu Tian, Li Wang, Yi Shan, Yu Wang:
Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks. AAAI 2020: 4190-4197 - [c41]Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han:
Deep Embedded Complementary and Interactive Information for Multi-View Classification. AAAI 2020: 6494-6501 - [c40]Anji Liu, Jianshu Chen, Mingze Yu, Yu Zhai, Xuewen Zhou, Ji Liu:
Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search. ICLR 2020 - [c39]Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou:
Grosbeak: A Data Warehouse Supporting Resource-Aware Incremental Computing. SIGMOD Conference 2020: 2797-2800 - [i24]Yan Lin, Ji Liu, Jianlin Zhou:
A novel tree-structured point cloud dataset for skeletonization algorithm evaluation. CoRR abs/2001.02823 (2020) - [i23]Huizhuo Yuan, Xiangru Lian, Ji Liu, Yuren Zhou:
Stochastic Recursive Momentum for Policy Gradient Methods. CoRR abs/2003.04302 (2020) - [i22]Yi Guo, Ji Liu:
Depth Edge Guided CNNs for Sparse Depth Upsampling. CoRR abs/2003.10138 (2020) - [i21]Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Ji Liu:
Data Poisoning Attacks on Federated Machine Learning. CoRR abs/2004.10020 (2020) - [i20]Xichuan Zhou, Kui Liu, Cong Shi, Haijun Liu, Ji Liu:
Neural Network Activation Quantization with Bitwise Information Bottlenecks. CoRR abs/2006.05210 (2020) - [i19]Anji Liu, Yitao Liang, Ji Liu, Guy Van den Broeck, Jianshu Chen:
On Effective Parallelization of Monte Carlo Tree Search. CoRR abs/2006.08785 (2020) - [i18]Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe:
Streaming Probabilistic Deep Tensor Factorization. CoRR abs/2007.07367 (2020) - [i17]Ji Liu, Heshan Liu, Mang Tik Chiu, Yu-Wing Tai, Chi-Keung Tang:
Pose-Guided High-Resolution Appearance Transfer via Progressive Training. CoRR abs/2008.11898 (2020) - [i16]Ji Liu, Hang Zhao, Jiyuan Yang, Yu Shi, Ruichang Liu, Dong Yuan, Shiping Chen:
ServiceNet: A P2P Service Network. CoRR abs/2009.09800 (2020) - [i15]Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou:
Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version). CoRR abs/2009.13631 (2020)
2010 – 2019
- 2019
- [j16]Ji Liu, Qing Shao, Chenchao Hua:
Consensus-based cubature information filtering for sensor networks with incomplete measurements. Neurocomputing 364: 49-62 (2019) - [j15]Wei Qian, Wending Li, Yasuhiro Sogawa, Ryohei Fujimaki, Xitong Yang, Ji Liu:
An Interactive Greedy Approach to Group Sparsity in High Dimensions. Technometrics 61(3): 409-421 (2019) - [j14]Yue Wu, Youzuo Lin, Zheng Zhou, David Chas Bolton, Ji Liu, Paul Johnson:
DeepDetect: A Cascaded Region-Based Densely Connected Network for Seismic Event Detection. IEEE Trans. Geosci. Remote. Sens. 57(1): 62-75 (2019) - [j13]Wenfeng Song, Shuai Li, Ji Liu, Hong Qin, Bo Zhang, Shuyang Zhang, Aimin Hao:
Multitask Cascade Convolution Neural Networks for Automatic Thyroid Nodule Detection and Recognition. IEEE J. Biomed. Health Informatics 23(3): 1215-1224 (2019) - [c38]Ji Liu, Lei Zhang:
Optimal Projection Guided Transfer Hashing for Image Retrieval. AAAI 2019: 8754-8761 - [c37]Yehonathan Litman, Ya Wang, Ji Liu:
Accelerated Visual Inertial Navigation via Fragmented Structure Updates. IROS 2019: 5358-5363 - [c36]Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu, Junchi Yan, Bowen Zhou:
Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data. SDM 2019: 55-63 - [i14]Yawei Zhao, Chen Yu, Peilin Zhao, Ji Liu:
Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend. CoRR abs/1901.10593 (2019) - [i13]Ji Liu, Lei Zhang:
Optimal Projection Guided Transfer Hashing for Image Retrieval. CoRR abs/1903.00252 (2019) - 2018
- [j12]Binghan Liu, Zhongguang Fu, Pengkai Wang, Lu Liu, Manda Gao, Ji Liu:
Big-Data-Mining-Based Improved K-Means Algorithm for Energy Use Analysis of Coal-Fired Power Plant Units: A Case Study. Entropy 20(9): 702 (2018) - [j11]Bowen Yang, Ji Liu, Xiaosheng Liang:
Object segmentation using FCNs trained on synthetic images. J. Intell. Fuzzy Syst. 35(3): 3233-3242 (2018) - [j10]Abbas Kazemipour, Ji Liu, Krystyna Solarana, Daniel A. Nagode, Patrick O. Kanold, Min Wu, Behtash Babadi:
Fast and Stable Signal Deconvolution via Compressible State-Space Models. IEEE Trans. Biomed. Eng. 65(1): 74-86 (2018) - [j9]Yijun Huang, Ji Liu:
Exclusive Sparsity Norm Minimization With Random Groups via Cone Projection. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6145-6153 (2018) - [c35]Bo Liu, Ji Liu, Kenan Xiao:
R2PG: Risk-Sensitive and Reliable Policy Gradient. AAAI Workshops 2018: 682-687 - [c34]Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang:
Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization. AAAI 2018: 3287-3294 - [c33]Jianghai Hu, Yingying Xiao, Ji Liu:
Distributed Algorithms for Solving Locally Coupled Optimization Problems on Agent Networks. CDC 2018: 2420-2425 - [c32]Yang Li, Wenyu Zhou, Guiwen Lv, Guibo Luo, Yuesheng Zhu, Ji Liu:
Classification of Bone Tumor on CT Images Using Deep Convolutional Neural Network. ICANN (2) 2018: 127-136 - [c31]Ji Liu, Shuai Li, Wenfeng Song, Liang Liu, Hong Qin, Aimin Hao:
Automatic Beautification for Group-Photo Facial Expressions Using Novel Bayesian GANs. ICANN (1) 2018: 760-770 - [c30]Qingdong Wei, Fengjing Shao, Ji Liu:
Research Summary of Convolution Neural Network in Image Recognition. ICDPA 2018: 39-44 - [c29]Xiaoqian Wang, Yijun Huang, Ji Liu, Heng Huang:
New Balanced Active Learning Model and Optimization Algorithm. IJCAI 2018: 2826-2832 - [c28]Jianqiao Wangni, Jialei Wang, Ji Liu, Tong Zhang:
Gradient Sparsification for Communication-Efficient Distributed Optimization. NeurIPS 2018: 1306-1316 - [c27]Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu:
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity. NeurIPS 2018: 8376-8385 - [c26]Chao Yin, Lei Zhang, Ji Liu:
Pixel Saliency Based Encoding for Fine-Grained Image Classification. PRCV (1) 2018: 274-285 - [i12]Chao-Bing Song, Ji Liu, Han Liu, Yong Jiang, Tong Zhang:
Fully Implicit Online Learning. CoRR abs/1809.09350 (2018) - [i11]Bo Liu, Luwan Zhang, Ji Liu:
Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning. CoRR abs/1811.00958 (2018) - [i10]Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu:
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity. CoRR abs/1811.01182 (2018) - [i9]Jianqiao Wangni, Dahua Lin, Ji Liu, Kostas Daniilidis, Jianbo Shi:
Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis. CoRR abs/1812.11295 (2018) - 2017
- [j8]Diana Inkpen, Ji Liu, Atefeh Farzindar, Farzaneh Kazemi, Diman Ghazi:
Location detection and disambiguation from twitter messages. J. Intell. Inf. Syst. 49(2): 237-253 (2017) - [j7]Mengdi Wang, Ji Liu, Ethan X. Fang:
Accelerating Stochastic Composition Optimization. J. Mach. Learn. Res. 18: 105:1-105:23 (2017) - [j6]Bin Liao, Tao Zhang, Jiong Yu, Binglei Guo, Ji Liu:
基于二维划分的杰卡德相似系数批量计算效率优化 (Efficiency Optimization of Jaccard's Similarity Coefficient Based on Two Dimensional Partition). 计算机科学 44(1): 219-225 (2017) - [c25]Fangbing Chen, Ji Liu, Yuesheng Zhu:
A Real-Time Scheduling Strategy Based on Processing Framework of Hadoop. BigData Congress 2017: 321-328 - [c24]Ji Liu, Lei Zhang:
Sparse Softmax Vector Coding Based Deep Cascade Model. CCCV (2) 2017: 603-614 - [c23]Ji Liu, Long-Long Ma, Jian Wu:
Online Handwritten Mongolian Word Recognition Using a Novel Sliding Window Method with Recurrent Neural Networks. ICDAR 2017: 189-194 - [c22]Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou, Fei Wang:
GaDei: On Scale-Up Training as a Service for Deep Learning. ICDM 2017: 1195-1200 - [c21]Xiaojin Zhu, Ji Liu, Manuel Lopes:
No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously. IJCAI 2017: 3588-3594 - [i8]Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu:
Negative-Unlabeled Tensor Factorization for Location Category Inference from Inaccurate Mobility Data. CoRR abs/1702.06362 (2017) - [i7]Jie Zhong, Yijun Huang, Ji Liu:
Asynchronous Parallel Empirical Variance Guided Algorithms for the Thresholding Bandit Problem. CoRR abs/1704.04567 (2017) - [i6]Yue Wu, Youzuo Lin, Zheng Zhou, David Chas Bolton, Ji Liu, Paul Johnson:
Cascaded Contextual Region-based Convolutional Neural Network for Event Detection from Time Series Signals: A Seismic Application. CoRR abs/1709.07943 (2017) - [i5]Jianqiao Wangni, Jialei Wang, Ji Liu, Tong Zhang:
Gradient Sparsification for Communication-Efficient Distributed Optimization. CoRR abs/1710.09854 (2017) - 2016
- [j5]Ji Liu, Xiaojin Zhu:
The Teaching Dimension of Linear Learners. J. Mach. Learn. Res. 17: 162:1-162:25 (2016) - [j4]Ji Liu, Daning Zhang, Mengqi Wang, Ling Huang, Dongxu Zhao:
A Cascaded Linear High-Voltage Amplifier Circuit for Dielectric Measurement. IEEE Trans. Ind. Electron. 63(3): 1834-1841 (2016) - [c20]Zhouyuan Huo, Ji Liu, Heng Huang:
Optimal Discrete Matrix Completion. AAAI 2016: 1687-1693 - [c19]Ling Huang, Cheng-Chew Lim, Ji Liu:
Time delay compensation for positive nonlinear networked control systems with bounded controls. FUZZ-IEEE 2016: 1926-1933 - [c18]Abbas Kazemipour, Ji Liu, Patrick O. Kanold, Min Wu, Behtash Babadi:
Efficient estimation of compressible state-space models with application to calcium signal deconvolution. GlobalSIP 2016: 1176-1180 - [c17]Ji Liu, Long-Long Ma, Jian Wu:
Online Handwritten Mongolian Word Recognition Using MWRCNN and Position Maps. ICFHR 2016: 60-65 - [c16]Ji Liu, Xiaojin Zhu, Hrag Ohannessian:
The Teaching Dimension of Linear Learners. ICML 2016: 117-126 - [c15]Long-Long Ma, Ji Liu, Jian Wu:
A new database for online handwritten Mongolian word recognition. ICPR 2016: 1131-1136 - [c14]Mengdi Wang, Ji Liu, Ethan X. Fang:
Accelerating Stochastic Composition Optimization. NIPS 2016: 1714-1722 - [c13]Bo Liu, Luwan Zhang, Ji Liu:
Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application in Sparse Reinforcement Learning. UAI 2016 - [c12]Mengdi Wang, Ji Liu:
A stochastic compositional gradient method using Markov samples. WSC 2016: 702-713 - [i4]Yang Zhang, Rupam Acharyya, Ji Liu, Boqing Gong:
Infinite-Label Learning with Semantic Output Codes. CoRR abs/1608.06608 (2016) - [i3]Abbas Kazemipour, Ji Liu, Patrick O. Kanold, Min Wu, Behtash Babadi:
Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution. CoRR abs/1610.06461 (2016) - [i2]Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou:
GaDei: On Scale-up Training As A Service For Deep Learning. CoRR abs/1611.06213 (2016) - 2015
- [j3]