Ji Liu

发表

Gradient Sparsification for Communication-Efficient Distributed Optimization

Ji Liu, Tong Zhang, Jialei Wang, 2017, NeurIPS.

Asynchronous Decentralized Parallel Stochastic Gradient Descent pdf

Wei Zhang, Xiangru Lian, Ji Liu, 2017, ICML.

ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning

Dan Alistarh, Jerry Li, Ji Liu, 2017, ICML.

Finite-Sample Analysis of Proximal Gradient TD Algorithms

Marek Petrik, Bo Liu, Ji Liu, 2015, UAI.

Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces pdf

Bo Liu, Ji Liu, Sridhar Mahadevan, 2014, ArXiv.

Staleness-Aware Async-SGD for Distributed Deep Learning pdf

Ji Liu, Xiangru Lian, Wei Zhang, 2015, IJCAI.

Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization

Yijun Huang, Ji Liu, Xiangru Lian, 2015, NIPS.

An asynchronous parallel stochastic coordinate descent algorithm

Stephen J. Wright, Christopher Ré, Ji Liu, 2013, J. Mach. Learn. Res..

The ZipML Framework for Training Models with End-to-End Low Precision: The Cans, the Cannots, and a Little Bit of Deep Learning

Dan Alistarh, Jerry Li, Ce Zhang, 2016, ICML 2017.

Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties

Stephen J. Wright, Ji Liu, Ji Liu, 2014, SIAM J. Optim..

TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game pdf

Bo Li, Qing Wang, Tong Zhang, 2018, ArXiv.

Regularized Off-Policy TD-Learning

Bo Liu, Ji Liu, Sridhar Mahadevan, 2012, NIPS.

An accelerated randomized Kaczmarz algorithm

Stephen J. Wright, Ji Liu, Ji Liu, 2013, Math. Comput..

Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem pdf

Liu Liu, Cho-Jui Hsieh, Dacheng Tao, 2018, ArXiv.

Variance Reduced Methods for Non-Convex Composition Optimization

Liu Liu, Dacheng Tao, Ji Liu, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

PROCEDURALLY-GENERATED ENVIRONMENTS

Ji Liu, Lei Yuan, Xia Hu, 2021 .

Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach

Ji Liu, Haichuan Yang, Shupeng Gui, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Inexact Proximal Cubic Regularized Newton Methods for Convex Optimization

Ji Liu, Chaobing Song, Yong Jiang, 2019, 1902.02388.

2 Classic Teaching Dimension and its Limitations

Xiaojin Zhu, Ji Liu, 2018 .

nti-drift in E-nose : A subspace projection approach with drift eduction

Ji Liu, Xichuan Zhou, Zhenwei He, 2017 .

PARALLELIZING MONTE CARLO TREE SEARCH

Ji Liu, Anji Liu, Mingze Yu, 2019 .

Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend pdf

Chen Yu, Ji Liu, Peilin Zhao, 2019, ACM Trans. Intell. Syst. Technol..

Negative-Unlabeled Tensor Factorization for Location Category Inference from Highly Inaccurate Mobility Data

Wesley M. Gifford, Ji Liu, Junchi Yan, 2017 .

Improving Low-Precision Network Quantization via Bin Regularization

Ji Liu, Yi Shan, Tiantian Han, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Longitudinal planning for personalized health management using daily behavioral data

Ji Liu, Xiaoning Qian, Shuai Huang, 2019, IISE Transactions on Healthcare Systems Engineering.

Learning Simple Thresholded Features With Sparse Support Recovery

Ding Liu, Zhangyang Wang, Haichuan Yang, 2018, IEEE Transactions on Circuits and Systems for Video Technology.

Model Compression with Adversarial Robustness: A Unified Optimization Framework

Ji Liu, Chen Yu, Zhangyang Wang, 2019, NeurIPS.

ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries

Ji Liu, Zhenfeng Zhu, Shupeng Gui, 2019, IEEE Transactions on Multimedia.

Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks

Ji Liu, Jieping Ye, Jianhui Chen, 2010, TKDD.

On The Projection Operator to A Three-view Cardinality Constrained Set

Ji Liu, Shupeng Gui, Daniel Stefankovic, 2017, ICML.

Abnormal event detection in crowded scenes using sparse representation

Junsong Yuan, Ji Liu, Yang Cong, 2013, Pattern Recognit..

Tensor Completion for Estimating Missing Values in Visual Data

Jieping Ye, Peter Wonka, Ji Liu, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning

Lei Han, Dacheng Tao, Ji Liu, 2019, NeurIPS.

A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification

Ji Liu, Haichuan Yang, Wu Chen, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Deep Cascade Model-Based Face Recognition: When Deep-Layered Learning Meets Small Data

David Zhang, Bob Zhang, Ce Zhu, 2020, IEEE Transactions on Image Processing.

Optimal Discrete Matrix Completion

Heng Huang, Ji Liu, Zhouyuan Huo, 2016, AAAI.

Adversarially Trained Model Compression: When Robustness Meets Efficiency

Zhangyang Wang, Shupeng Gui, Haotao Wang, 2019, ArXiv.

PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions pdf

Jieping Ye, Xiangliang Zhang, Ji Liu, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning pdf

Jieping Ye, Xiangliang Zhang, Ji Liu, 2018, ArXiv.

From distributed machine learning to federated learning: a survey

Ji Liu, D. Dou, Yang Zhou, 2021, Knowledge and Information Systems.

Prognostics of Surgical Site Infections using Dynamic Health Data

William B. Lober, Xiaoning Qian, Yan Jin, 2016, J. Biomed. Informatics.

Optimal Expert Knowledge Elicitation for Bayesian Network Structure Identification

Yan Jin, Cao Xiao, Shuai Huang, 2018, IEEE Transactions on Automation Science and Engineering.

DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression pdf

Ji Liu, Xiangru Lian, Hanlin Tang, 2019, ICML.

P-MCGS: Parallel Monte Carlo Acyclic Graph Search pdf

Chen Yu, Ji Liu, Jie Zhong, 2018, ArXiv.

Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads

Tian Li, Ji Liu, Jie Zhong, 2017, Proc. VLDB Endow..

Exclusive Sparsity Norm Minimization With Random Groups via Cone Projection

Yijun Huang, Ji Liu, Ji Liu, 2015, IEEE Transactions on Neural Networks and Learning Systems.

On Benefits of Selection Diversity via Bilevel Exclusive Sparsity

Yijun Huang, Ji Liu, Haichuan Yang, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order

Cho-Jui Hsieh, Huan Zhang, Yijun Huang, 2016, NIPS.

A stochastic compositional gradient method using Markov samples

Mengdi Wang, Ji Liu, Ji Liu, 2016, 2016 Winter Simulation Conference (WSC).

D2: Decentralized Training over Decentralized Data pdf

Xiangru Lian, Ji Liu, Ming Yan, 2018, ICML.

Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent

Wei Zhang, Cho-Jui Hsieh, Huan Zhang, 2017, NIPS.

Proximal Online Gradient Is Optimum for Dynamic Regret: A General Lower Bound pdf

Ji Liu, Shuang Qiu, Yawei Zhao, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Anti-drift in E-nose: A subspace projection approach with drift reduction

Lei Zhang, Yan Liu, Ji Liu, 2017 .

GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework

Ji Liu, Zhangyang Wang, Shupeng Gui, 2020, ECCV.

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space pdf

Qing Wang, Tong Zhang, Yang Zheng, 2018, ArXiv.

Stochastic Recursive Momentum for Policy Gradient Methods pdf

Ji Liu, Xiangru Lian, Huizhuo Yuan, 2020, ArXiv.

Shifted Chunk Transformer for Spatio-Temporal Representational Learning pdf

Ji Liu, Wentao Zhu, Xuefan Zha, 2021, NeurIPS.

ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting

Ji Liu, Guiguang Ding, Jungong Han, 2020, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning

Xiangru Lian, Xia Hu, Daochen Zha, 2021, ICML.

Distributed Learning over Unreliable Networks

Dan Alistarh, Ji Liu, Simon Kassing, 2018, ICML.

Uncorrelated Group LASSO

Bo Liu, Ji Liu, Deguang Kong, 2016, AAAI.

Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices pdf

Ji Liu, Wentao Zhu, Tianli Zhao, 2021, ArXiv.

Seeing All From a Few: $\ell_{1}$ -Norm-Induced Discriminative Prototype Selection

Zhenfeng Zhu, Yao Zhao, Ji Liu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Deep Embedded Complementary and Interactive Information for Multi-View Classification

Ji Liu, Junwei Han, Jinglin Xu, 2020, AAAI.

Data Poisoning Attacks on Federated Machine Learning pdf

Qiang Wang, Ji Liu, Jiahua Dong, 2020, IEEE Internet of Things Journal.

Distributed Learning Systems with First-Order Methods

Ce Zhang, Ji Liu, Ji Liu, 2020, Found. Trends Databases.

Communication Compression for Decentralized Training

Hanlin Tang, Ce Zhang, Ji Liu, 2018, NeurIPS.

Finite-Time Error Bounds for Distributed Linear Stochastic Approximation pdf

Ji Liu, Vijay Gupta, Yixuan Lin, 2021, ArXiv.

ErrorCompensatedX: error compensation for variance reduced algorithms pdf

Ji Liu, Yao Li, Ming Yan, 2021, NeurIPS.

Central Server Free Federated Learning over Single-sided Trust Social Networks pdf

Ji Liu, Hanlin Tang, Conghui Tan, 2019, ArXiv.

UMEC: Unified model and embedding compression for efficient recommendation systems

Zhangyang Wang, Shupeng Gui, Ji Liu, 2021, ICLR.

Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach pdf

Lei Yuan, Ji Liu, Fei Tao, 2020, ArXiv.

Themes Inferred Audio-visual Correspondence Learning

Ji Liu, Lei Yuan, Haoran Wei, 2020, ArXiv.

Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free pdf

Ji Liu, Tianlong Chen, Zhangyang Wang, 2020, NeurIPS.

End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines

Ji Liu, Ce Zhang, Bojan Karlas, 2020, ArXiv.

Sparse reconstruction cost for abnormal event detection

Junsong Yuan, Ji Liu, Yang Cong, 2011, CVPR 2011.

Global Sparse Momentum SGD for Pruning Very Deep Neural Networks

Ji Liu, Guiguang Ding, Yuchen Guo, 2019, NeurIPS.

Lossless CNN Channel Pruning via Decoupling Remembering and Forgetting

Ji Liu, Guiguang Ding, Yuchen Guo, 2020 .

Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation

Ji Liu, Lin Huang, Junsong Yuan, 2020, ECCV.

Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments pdf

Xia Hu, Daochen Zha, Ji Liu, 2021, ICLR.

RankDetNet: Delving into Ranking Constraints for Object Detection

Ji Liu, Rongzhang Zheng, Dong Li, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

HOT-Net: Non-Autoregressive Transformer for 3D Hand-Object Pose Estimation

Ji Liu, Junsong Yuan, Lin Huang, 2020, ACM Multimedia.

Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search

Ji Liu, Anji Liu, Mingze Yu, 2018, ICLR.

Adaptive Greedy Dictionary Selection for Web Media Summarization

Jiebo Luo, Ji Liu, Gan Sun, 2017, IEEE Transactions on Image Processing.

On Effective Parallelization of Monte Carlo Tree Search pdf

Guy Van den Broeck, Ji Liu, Jianshu Chen, 2020, ArXiv.

Asynchronous Parallel Empirical Variance Guided Algorithms for the Thresholding Bandit Problem pdf

Yijun Huang, Ji Liu, Jie Zhong, 2017, ArXiv.

Ease.ml in Action: Towards Multi-tenant Declarative Learning Services

Ji Liu, Wentao Wu, Ce Zhang, 2018, Proc. VLDB Endow..

GaDei: On Scale-Up Training as a Service for Deep Learning

Yandong Wang, Ji Liu, Fei Wang, 2016, 2017 IEEE International Conference on Data Mining (ICDM).

Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks

Jieping Ye, Jianhui Chen, Ji Liu, 2010, TKDD.

Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity pdf

Shiqian Ma, Tong Zhang, Ji Liu, 2018, NeurIPS.

Streaming Bayesian Deep Tensor Factorization

Ji Liu, Zhimeng Pan, Shandian Zhe, 2021, ICML.

Streaming Probabilistic Deep Tensor Factorization pdf

Ji Liu, Zheng Wang, Zhimeng Pan, 2020, ArXiv.

Finite-sum Composition Optimization via Variance Reduced Gradient Descent

Mengdi Wang, Xiangru Lian, Ji Liu, 2016, AISTATS.

No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously

Manuel Lopes, Xiaojin Zhu, Ji Liu, 2017, IJCAI.

The Teaching Dimension of Linear Learners

Xiaojin Zhu, Ji Liu, Hrag Ohannessian, 2015, ICML.

BAGUA: Scaling up Distributed Learning with System Relaxations pdf

Jiawei Jiang, Xiangru Lian, Binhang Yuan, 2021, Proc. VLDB Endow..

1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed

Samyam Rajbhandari, Yuxiong He, Ji Liu, 2021, ICML.

Learning Simple Thresholded Features With Sparse Support Recovery

Ding Liu, Ji Liu, Zhangyang Wang, 2018, IEEE Transactions on Circuits and Systems for Video Technology.

Learning incoherent sparse and low-rank patterns from multiple tasks

Jieping Ye, Jianhui Chen, Ji Liu, 2010 .

Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks

Yu Wang, Lu Tian, Yi Shan, 2020, AAAI.

Dualityfree Methods for Stochastic Composition Optimization

Liu Liu, Dacheng Tao, Ji Liu, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters pdf

Xiangru Lian, Binhang Yuan, Ji Liu, 2021, KDD.

Persia: A Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters

Ji Liu, Xiangru Lian, Lei Yuan, 2021 .

Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications

Han Liu, Carson Eisenach, Haichuan Yang, 2018, ICLR.

CHI: A contemporaneous health index for degenerative disease monitoring using longitudinal measurements

Yu Cheng, William B. Lober, Qiang Meng, 2017, J. Biomed. Informatics.

Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features

Hongxia Jin, Ji Liu, Deguang Kong, 2016, AAAI.

Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint

Jieping Ye, Ji Liu, Ryohei Fujimaki, 2013, ICML.

POSO: Personalized Cold Start Modules for Large-scale Recommender Systems pdf

Ji Liu, Zhe Wang, Jianying Lin, 2021, ArXiv.

Accelerating Stochastic Composition Optimization

Mengdi Wang, Ji Liu, Ethan X. Fang, 2016, NIPS.

An Approximate, Efficient Solver for LP Rounding pdf

Stephen J. Wright, Ji Liu, Ce Zhang, 2013, ArXiv.

Asynchronous Parallel Greedy Coordinate Descent

James Demmel, Inderjit S. Dhillon, Cho-Jui Hsieh, 2016, NIPS.

Multilayer SIS Model With an Infrastructure Network pdf

Henrik Sandberg, Karl H. Johansson, Ji Liu, 2021, IEEE Transactions on Control of Network Systems.

An Interactive Greedy Approach to Group Sparsity in High Dimensions

Xitong Yang, Wei Qian, Ji Liu, 2017, Technometrics.

Guaranteed Sparse Recovery under Linear Transformation

Jieping Ye, Ji Liu, Lei Yuan, 2013, ICML.

A Multi-Stage Framework for Dantzig Selector and LASSO

Jieping Ye, Peter Wonka, Ji Liu, 2012, J. Mach. Learn. Res..

HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments

Ji Liu, Dianhai Yu, D. Dou, 2021, Future Gener. Comput. Syst..

Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization

Ji Liu, Xichuan Zhou, Cong Shi, 2021, AAAI.

Neural Network Activation Quantization with Bitwise Information Bottlenecks pdf

Ji Liu, Haijun Liu, Cong Shi, 2020, ArXiv.

Lifelong Metric Learning

Haibin Yu, Lianqing Liu, Xiaowei Xu, 2017, IEEE Transactions on Cybernetics.

Ensemble Chinese End-to-End Spoken Language Understanding for Abnormal Event Detection from Audio Stream

Ji Liu, Runze Su, Haoran Wei, 2020, ICBDT.

APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm pdf

Ji Liu, Yuxiong He, Xiangru Lian, 2020, ArXiv.

Proximal Gradient Temporal Difference Learning Algorithms

Marek Petrik, Bo Liu, Ji Liu, 2016, IJCAI.

Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent

Xiangru Lian, Wenqing Hu, Chris Junchi Li, 2019, NeurIPS.

A scalable algorithm for structure identification of complex gene regulatory network from temporal expression data

Rui Chen, Hongyu Miao, Ji Liu, 2016, bioRxiv.

Hand Image Understanding via Deep Multi-Task Learning pdf

Ji Liu, Guozhu Peng, Jianchao Tan, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Reinforcement Learning for Cost-Aware Markov Decision Processes

Ji Liu, Zhuoran Yang, Wesley Suttle, 2021, ICML.

Unsupervised Extraction of Human-Interpretable Nonverbal Behavioral Cues in a Public Speaking Scenario

Ji Liu, Mohammed E. Hoque, Md. Iftekhar Tanveer, 2015, ACM Multimedia.

Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm

Feiping Nie, Chris H. Q. Ding, Ji Liu, 2014, NIPS.

Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization pdf

Ji Liu, Xiangru Lian, Huizhuo Yuan, 2019, ArXiv.

Fully Implicit Online Learning pdf

Tong Zhang, Yong Jiang, Ji Liu, 2018, ArXiv.

Multi-device, Multi-tenant Model Selection with GP-EI

Chen Yu, Ji Liu, Jie Zhong, 2018, AISTATS.

Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning pdf

Bo Liu, Ji Liu, Luwan Zhang, 2018, ArXiv.

Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application in Sparse Reinforcement Learning

Bo Liu, Ji Liu, Luwan Zhang, 2016, UAI.

ChemiRise: a data-driven retrosynthesis engine pdf

Ji Liu, Zekun Ni, Xiangyan Sun, 2021, ArXiv.

Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors

Philip S. Yu, Ji Liu, Peng Cui, 2021, KDD.

New Balanced Active Learning Model and Optimization Algorithm

Heng Huang, Yijun Huang, Ji Liu, 2018, IJCAI.

A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification

Ji Liu, Shuai Huang, Hongyu Miao, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Deep-Like Hashing-in-Hash for Visual Retrieval: An Embarrassingly Simple Method

David Zhang, Ji Liu, Yang Yang, 2020, IEEE Transactions on Image Processing.

ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model

Ji Liu, Yuhao Zhu, Haichuan Yang, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity pdf

Marek Petrik, Ji Liu, Bo Liu, 2018, J. Artif. Intell. Res..

Finite-Sample Analysis of GTD Algorithms pdf

Bo Liu, Ji Liu, Sridhar Mahadevan, 2020, ArXiv.

Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization

Xiangru Lian, Ji Liu, Ji Liu, 2019, AISTATS.

User attribute discovery with missing labels

Jiebo Luo, Haibin Yu, Ji Liu, 2018, Pattern Recognit..

Sparse non-negative tensor factorization using columnwise coordinate descent

Jieping Ye, Peter Wonka, Ji Liu, 2012, Pattern Recognit..

Low-Rank Online Metric Learning

Jiebo Luo, Junsong Yuan, Ji Liu, 2014, Low-Rank and Sparse Modeling for Visual Analysis.

Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources

Ji Liu, Daxiang Dong, Dianhai Yu, 2021, Euro-Par Workshops.

Self-Supervised Online Metric Learning With Low Rank Constraint for Scene Categorization

Jiebo Luo, Junsong Yuan, Ji Liu, 2013, IEEE Transactions on Image Processing.

GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization pdf

Zhangyang Wang, Ji Liu, Jianchao Tan, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

R2PG: Risk-Sensitive and Reliable Policy Gradient

Bo Liu, Ji Liu, Kenan Xiao, 2018, AAAI Workshops.

Infinite-Label Learning with Semantic Output Codes pdf

Yang Zhang, Ji Liu, Boqing Gong, 2016, ArXiv.

Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking

Ji Liu, Yuhao Zhu, Haichuan Yang, 2018, ICLR.

End-to-End Learning of Energy-Constrained Deep Neural Networks pdf

Ji Liu, Yuhao Zhu, Haichuan Yang, 2018, ArXiv.

Switching-State Dynamical Modeling of Daily Behavioral Data

Yu Cheng, Shupeng Gui, Xiaoning Qian, 2018, Journal of Healthcare Informatics Research.

Jiebo Luo, Haibin Yu, Peng Zeng, 2018, IEEE Transactions on Big Data.

From distributed machine learning to federated learning: a survey

Ji Liu, D. Dou, Yang Zhou, 2021, Knowledge and Information Systems.

Spectral Clustering with a Convex Regularizer on Millions of Images

Jia Xu, Vikas Singh, Ji Liu, 2014, ECCV.

Stochastically Controlled Compositional Gradient for Composition Problems

Cho-Jui Hsieh, Ji Liu, D. Tao, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Incorporating Global Information in Local Attention for Knowledge Representation Learning

Fuzhen Zhuang, Ji Liu, Ruobing Xie, 2021, FINDINGS.

Learning Sparsity and Quantization Jointly and Automatically for Neural Network Compression via Constrained Optimization

Ji Liu, Haichuan Yang, Shupeng Gui, 2019, ArXiv.

ECC: Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model pdf

Ji Liu, Yuhao Zhu, Haichuan Yang, 2018, ArXiv.

Central Server Free Federated Learning over Single-sided Trust Social Networks pdf

Hanlin Tang, Ji Liu, Conghui Tan, 2019, ArXiv.

Speeded Up Low-Rank Online Metric Learning for Object Tracking

Jiebo Luo, Haibin Yu, Ji Liu, 2015, IEEE Transactions on Circuits and Systems for Video Technology.

Pose-Guided High-Resolution Appearance Transfer via Progressive Training

Ji Liu, Chi-Keung Tang, Yu-Wing Tai, 2020, ArXiv.

Revisit Batch Normalization: New Understanding from an Optimization View and a Refinement via Composition Optimization pdf

Xiangru Lian, Ji Liu, Ji Liu, 2018, ArXiv.

Deep sparse feature selection for computer aided endoscopy diagnosis

Jiebo Luo, Ji Liu, Jun Cao, 2015, Pattern Recognit..