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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
![[0000-0003-2871-9888]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2871-9888")
— Stony Brook University, NY, USA (and 2 more) - Ji Liu 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
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2020 – today
- 2022
[j33]Chongsheng Zhang, Yuefeng Tao, Kai Du, Weiping Ding, Bin Wang, Ji Liu, Wei Wang:
Character-Level Street View Text Spotting Based on Deep Multisegmentation Network for Smarter Autonomous Driving. IEEE Trans. Artif. Intell. 3(2): 297-308 (2022)- [j32]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) - [c73]Wesley A. Suttle, Alec Koppel, Ji Liu:
Policy Gradient for Ratio Optimization: A Case Study. CISS 2022: 281-286 - [c72]Ji Liu, Peiyi Li, Huiyang Zhou:
Not All SWAPs Have the Same Cost: A Case for Optimization-Aware Qubit Routing. HPCA 2022: 709-725 - [c71]Qi Zhong, Qian Wang, Ji Liu:
Combining Knowledge and Multi-modal Fusion for Meme Classification. MMM (1) 2022: 599-611 - [c70]Shen Xin, Yuhang Jiao, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu, Jie Zhang:
Prototype Feature Extraction for Multi-task Learning. WWW 2022: 2472-2481 - [i59]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) - [i58]Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui:
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. CoRR abs/2201.06834 (2022) - [i57]Wesley A. Suttle, Alec Koppel, Ji Liu:
Occupancy Information Ratio: Infinite-Horizon, Information-Directed, Parameterized Policy Search. CoRR abs/2201.08832 (2022) - [i56]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) - [i55]Wentao Zhu, Hang Shang, Tingxun Lv, Chao Liao, Sen Yang, Ji Liu:
Adversarial Contrastive Self-Supervised Learning. CoRR abs/2202.13072 (2022) - [i54]Jingxuan Zhu, Yixuan Lin, Alvaro Velasquez, Ji Liu:
Resilient Constrained Consensus over Complete Graphs via Feasibility Redundancy. CoRR abs/2203.14123 (2022) - [i53]Qinghang Hong, Fengming Liu, Dong Li, Ji Liu, Lu Tian, Yi Shan:
Dynamic Sparse R-CNN. CoRR abs/2205.02101 (2022) - [i52]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) - 2021
- [j31]Jinhui Wu, Ji Liu:
Velocity Measurement of a Highspeed Underwater Projectile With Laser Barriers. IEEE Access 9: 61193-61199 (2021) - [j30]Xingjian Li, Dou Goodman, Ji Liu, Tao Wei, Dejing Dou:
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing. Frontiers Artif. Intell. 4: 752831 (2021) - [j29]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) - [j28]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) - [j27]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) - [j26]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) - [c69]Yiming Zeng, Yaodong Huang, Zhenhua Li, Ji Liu, Yuanyuan Yang:
Privacy-Preserving Decentralized Edge Caching in 5G Networks. CLOUD 2021: 189-199 - [c68]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 - [c67]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 - [c66]Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen Yang, Ji Liu:
SpeechNAS: Towards Better Trade-Off Between Latency and Accuracy for Large-Scale Speaker Verification. ASRU 2021: 1102-1109 - [c65]Yixuan Lin, Weihao Xuan, Ruijie Ren, Ji Liu:
On a Discrete-Time Network SIS Model with Opinion Dynamics. CDC 2021: 2098-2103 - [c64]Ji Liu, Luciano Bello, Huiyang Zhou:
Relaxed Peephole Optimization: A Novel Compiler Optimization for Quantum Circuits. CGO 2021: 301-314 - [c63]Jinxin Shi, Qingsheng Zhu, Junnan Li, Ji Liu, Dongdong Cheng:
Hierarchical Clustering Based on Local Cores and Sharing Concept. COMPSAC 2021: 284-289 - [c62]Ji Liu, Dong Li, Rongzhang Zheng, Lu Tian, Yi Shan:
RankDetNet: Delving Into Ranking Constraints for Object Detection. CVPR 2021: 264-273 - [c61]Ji Liu, Huiyang Zhou:
Systematic Approaches for Precise and Approximate Quantum State Runtime Assertion. HPCA 2021: 179-193 - [c60]Tiantian Han, Dong Li, Ji Liu, Lu Tian, Yi Shan:
Improving Low-Precision Network Quantization via Bin Regularization. ICCV 2021: 5241-5250 - [c59]Ji Liu, Yunpeng Zhao:
Role-oriented Task Allocation in Human-Machine Collaboration System. ICISCAE (IEEE) 2021: 243-248 - [c58]Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu:
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments. ICLR 2021 - [c57]Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe:
Streaming Bayesian Deep Tensor Factorization. ICML 2021: 3133-3142 - [c56]Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He:
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed. ICML 2021: 10118-10129 - [c55]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 - [c54]Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu:
Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors. KDD 2021: 3002-3010 - [c53]Bo Lv, Weilong Ding, Ji Liu:
Cache-based Executive Request Dispatching Method in The Distributed Workflow System. SERVICES 2021: 115-120 - [i51]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) - [i50]Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He:
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed. CoRR abs/2102.02888 (2021) - [i49]Ji Liu, Ce Zhang:
Distributed Learning Systems with First-order Methods. CoRR abs/2104.05245 (2021) - [i48]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) - [i47]Hanlin Tang, Yao Li, Ji Liu, Ming Yan:
ErrorCompensatedX: error compensation for variance reduced algorithms. CoRR abs/2108.02102 (2021) - [i46]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) - [i45]Xuefan Zha, Wentao Zhu, Tingxun Lv, Sen Yang, Ji Liu:
Shifted Chunk Transformer for Spatio-Temporal Representational Learning. CoRR abs/2108.11575 (2021) - [i44]Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen Yang, Ji Liu:
SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification. CoRR abs/2109.08839 (2021) - [i43]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) - [i42]Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui:
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies. CoRR abs/2110.10423 (2021) - [i41]Yu Zhao, Jia Song, Huali Feng, Fuzhen Zhuang, Qing Li, Xiaojie Wang, Ji Liu:
Deep Keyphrase Completion. CoRR abs/2111.01910 (2021) - [i40]Martin Figura, Yixuan Lin, Ji Liu, Vijay Gupta:
Resilient Consensus-based Multi-agent Reinforcement Learning with Function Approximation. CoRR abs/2111.06776 (2021) - [i39]Yixuan Lin, Vijay Gupta, Ji Liu:
Finite-Time Error Bounds for Distributed Linear Stochastic Approximation. CoRR abs/2111.12665 (2021) - [i38]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
- [j25]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) - [j24]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) - [j23]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) - [j22]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) - [j21]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) - [j20]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) - [j19]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) - [c52]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 - [c51]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 - [c50]Ji Liu, Gregory T. Byrd, Huiyang Zhou:
Quantum Circuits for Dynamic Runtime Assertions in Quantum Computation. ASPLOS 2020: 1017-1030 - [c49]Yiming Zeng, Yaodong Huang, Ji Liu, Yuanyuan Yang:
Privacy-Preserving Distributed Edge Caching for Mobile Data Offloading in 5G Networks. ICDCS 2020: 541-551 - [c48]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 - [c47]Ji Liu, Abdullah-Al Kafi, Xipeng Shen, Huiyang Zhou:
MKPipe: a compiler framework for optimizing multi-kernel workloads in OpenCL for FPGA. ICS 2020: 39:1-39:12 - [c46]Ji Liu, Huiyang Zhou:
Reliability Modeling of NISQ- Era Quantum Computers. IISWC 2020: 94-105 - [c45]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 - [i37]Yan Lin, Ji Liu, Jianlin Zhou:
A novel tree-structured point cloud dataset for skeletonization algorithm evaluation. CoRR abs/2001.02823 (2020) - [i36]Ji Liu, Abdullah-Al Kafi, Xipeng Shen, Huiyang Zhou:
MKPipe: A Compiler Framework for Optimizing Multi-Kernel Workloads in OpenCL for FPGA. CoRR abs/2002.01614 (2020) - [i35]Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang:
End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines. CoRR abs/2003.00120 (2020) - [i34]Huizhuo Yuan, Xiangru Lian, Ji Liu, Yuren Zhou:
Stochastic Recursive Momentum for Policy Gradient Methods. CoRR abs/2003.04302 (2020) - [i33]Yi Guo, Ji Liu:
Depth Edge Guided CNNs for Sparse Depth Upsampling. CoRR abs/2003.10138 (2020) - [i32]Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Ji Liu:
Data Poisoning Attacks on Federated Machine Learning. CoRR abs/2004.10020 (2020) - [i31]Xichuan Zhou, Kui Liu, Cong Shi, Haijun Liu, Ji Liu:
Neural Network Activation Quantization with Bitwise Information Bottlenecks. CoRR abs/2006.05210 (2020) - [i30]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) - [i29]Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik:
Finite-Sample Analysis of GTD Algorithms. CoRR abs/2006.14364 (2020) - [i28]Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe:
Streaming Probabilistic Deep Tensor Factorization. CoRR abs/2007.07367 (2020) - [i27]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) - [i26]Ji Liu, Hang Zhao, Jiyuan Yang, Yu Shi, Ruichang Liu, Dong Yuan, Shiping Chen:
ServiceNet: A P2P Service Network. CoRR abs/2009.09800 (2020) - [i25]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) - [i24]Haoran Wei, Fei Tao, Runze Su, Sen Yang, Ji Liu:
Ensemble Chinese End-to-End Spoken Language Understanding for Abnormal Event Detection from audio stream. CoRR abs/2010.09235 (2020) - [i23]Yunjie Zhang, Fei Tao, Xudong Liu, Runze Su, Xiaorong Mei, Weicong Ding, Zhichen Zhao, Lei Yuan, Ji Liu:
Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach. CoRR abs/2010.12662 (2020) - [i22]Ji Liu, Luciano Bello, Huiyang Zhou:
Relaxed Peephole Optimization: A Novel Compiler Optimization for Quantum Circuits. CoRR abs/2012.07711 (2020)
2010 – 2019
- 2019
- [j18]Ji Liu, Qing Shao, Chenchao Hua:
Consensus-based cubature information filtering for sensor networks with incomplete measurements. Neurocomputing 364: 49-62 (2019) - [j17]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) - [j16]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) - [j15]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) - [c44]Ji Liu, Lei Zhang:
Optimal Projection Guided Transfer Hashing for Image Retrieval. AAAI 2019: 8754-8761 - [c43]Chen Yu, Bojan Karlas, Jie Zhong, Ce Zhang, Ji Liu:
AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI. AISTATS 2019: 2829-2838 - [c42]Weiguo Xia, Ji Liu, Shuang Li, Xi-Ming Sun, Min Han:
Resilient Exponential Consensus with Time-Varying Adversary Attacks and Asynchronous Events. CDC 2019: 5438-5443 - [c41]Yehonathan Litman, Ya Wang, Ji Liu:
Accelerated Visual Inertial Navigation via Fragmented Structure Updates. IROS 2019: 5358-5363 - [c40]Yali Du, Lei Han, Meng Fang, Ji Liu, Tianhong Dai, Dacheng Tao:
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning. NeurIPS 2019: 4405-4416 - [c39]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 - [i21]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) - [i20]Ji Liu, Lei Zhang:
Optimal Projection Guided Transfer Hashing for Image Retrieval. CoRR abs/1903.00252 (2019) - [i19]Chaoyang He, Conghui Tan, Hanlin Tang, Shuang Qiu, Ji Liu:
Central Server Free Federated Learning over Single-sided Trust Social Networks. CoRR abs/1910.04956 (2019) - 2018
- [j14]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) - [j13]Bowen Yang, Ji Liu, Xiaosheng Liang:
Object segmentation using FCNs trained on synthetic images. J. Intell. Fuzzy Syst. 35(3): 3233-3242 (2018) - [j12]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) - [j11]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) - [c38]Bo Liu, Ji Liu, Kenan Xiao:
R2PG: Risk-Sensitive and Reliable Policy Gradient. AAAI Workshops 2018: 682-687 - [c37]Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang:
Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization. AAAI 2018: 3287-3294 - [c36]Jianghai Hu, Yingying Xiao, Ji Liu:
Distributed Algorithms for Solving Locally Coupled Optimization Problems on Agent Networks. CDC 2018: 2420-2425 - [c35]Yiming Zeng, Pengzhan Zhou, Ji Liu, Yuanyuan Yang:
Modeling Dishonest Behavior in Mobile Data Gathering Over Leasing Residential Sensor Networks. GLOBECOM 2018: 1-6 - [c34]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 - [c33]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 - [c32]Qingdong Wei, Fengjing Shao, Ji Liu:
Research Summary of Convolution Neural Network in Image Recognition. ICDPA 2018: 39-44 - [c31]Xiaoqian Wang, Yijun Huang, Ji Liu, Heng Huang:
New Balanced Active Learning Model and Optimization Algorithm. IJCAI 2018: 2826-2832 - [c30]Yiming Zeng, Pengzhan Zhou, Ji Liu, Yuanyuan Yang:
A Stackelberg Game Framework for Mobile Data Gathering in Leasing Residential Sensor Networks. IWQoS 2018: 1-6 - [c29]Jianqiao Wangni, Jialei Wang, Ji Liu, Tong Zhang:
Gradient Sparsification for Communication-Efficient Distributed Optimization. NeurIPS 2018: 1306-1316 - [c28]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 - [c27]Chao Yin, Lei Zhang, Ji Liu:
Pixel Saliency Based Encoding for Fine-Grained Image Classification. PRCV (1) 2018: 274-285 - [i18]Liu Liu, Ji Liu, Cho-Jui Hsieh, Dacheng Tao:
Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem. CoRR abs/1809.02505 (2018) - [i17]Peng Sun, Xinghai Sun, Lei Han, Jiechao Xiong, Qing Wang, Bo Li, Yang Zheng, Ji Liu, Yongsheng Liu, Han Liu, Tong Zhang:
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game. CoRR abs/1809.07193 (2018) - [i16]Chao-Bing Song, Ji Liu, Han Liu, Yong Jiang, Tong Zhang:
Fully Implicit Online Learning. CoRR abs/1809.09350 (2018) - [i15]Yawei Zhao, Shuang Qiu, Ji Liu:
Proximal Online Gradient is Optimum for Dynamic Regret. CoRR abs/1810.03594 (2018) - [i14]Jiechao Xiong, Qing Wang, Zhuoran Yang, Peng Sun, Lei Han, Yang Zheng, Haobo Fu, Tong Zhang, Ji Liu, Han Liu:
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space. CoRR abs/1810.06394 (2018) - [i13]Chen Yu, Jianshu Chen, Jie Zhong, Ji Liu:
P-MCGS: Parallel Monte Carlo Acyclic Graph Search. CoRR abs/1810.11755 (2018) - [i12]