NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (75)

math.OC2014

Design and Analysis of Distributed Averaging with Quantized Communication

Mahmoud El Chamie, Ji Liu, Tamer Başar

math.OC2018

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

Xiangru Lian, Ji Liu

math.OC2017

Exponential Convergence of a Distributed Algorithm for Solving Linear Algebraic Equations

Ji Liu, A. Stephen Morse, Angelia Nedich +1

math.OC2016

Request-Based Gossiping without Deadlocks

Ji Liu, Shaoshuai Mou, A. Stephen Morse +2

cs.LG2014

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

Sridhar Mahadevan, Bo Liu, Philip Thomas +5

math.OC2016

On a Modified DeGroot-Friedkin Model of Opinion Dynamics

Zhi Xu, Ji Liu, Tamer Basar

cond-mat.quant-gas2018

Three-body recombination near a narrow Feshbach resonance in $^6$Li

Jiaming Li, Ji Liu, Le Luo +1

cs.LG2017

Cascaded Region-based Densely Connected Network for Event Detection: A Seismic Application

Yue Wu, Youzuo Lin, Zheng Zhou +3

q-bio.MN2017

A Scalable Algorithm for Structure Identification of Complex Gene Regulatory Network from Temporal Expression Data

Shupeng Gui, Rui Chen, Liang Wu +2

cs.DC2019

$\texttt{DeepSqueeze}$: Decentralization Meets Error-Compensated Compression

Hanlin Tang, Xiangru Lian, Shuang Qiu +4

math.OC2017

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

Xiangru Lian, Huan Zhang, Cho-Jui Hsieh +2

math.OC2014

An Asynchronous Parallel Stochastic Coordinate Descent Algorithm

Ji Liu, Stephen J. Wright, Christopher Ré +2

cs.DC2018

Parallel Computation of PDFs on Big Spatial Data Using Spark

Ji Liu, Noel Moreno Lemus, Esther Pacitti +2

cs.LG2017

Infinite-Label Learning with Semantic Output Codes

Yang Zhang, Rupam Acharyya, Ji Liu +1

cs.LG2016

Staleness-aware Async-SGD for Distributed Deep Learning

Wei Zhang, Suyog Gupta, Xiangru Lian +1

cond-mat.quant-gas2019

Observation of parity-time symmetry breaking transitions in a dissipative Floquet system of ultracold atoms

Jiaming Li, Andrew K. Harter, Ji Liu +3

cs.CV2018

Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis

Jianqiao Wangni, Dahua Lin, Ji Liu +2

cs.LG2017

Lifelong Metric Learning

Gan Sun, Yang Cong, Ji Liu +1

math.OC2014

Lyapunov Approach to Consensus Problems

Angelia Nedich, Ji Liu

stat.ML2016

Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution

Abbas Kazemipour, Ji Liu, Patrick Kanold +2

stat.ML2013

Dictionary LASSO: Guaranteed Sparse Recovery under Linear Transformation

Ji Liu, Lei Yuan, Jieping Ye

cs.LG2019

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

Haichuan Yang, Yuhao Zhu, Ji Liu

math.OC2015

Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties

Ji Liu, Stephen J. Wright

cs.LG2018

GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning

Shupeng Gui, Xiangliang Zhang, Shuang Qiu +3

cs.LG2019

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

Yawei Zhao, Chen Yu, Peilin Zhao +3

cs.LG2018

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

Bo Liu, Luwan Zhang, Ji Liu

math.OC2019

Inexact Proximal Cubic Regularized Newton Methods for Convex Optimization

Chaobing Song, Ji Liu, Yong Jiang

cs.LG2015

The Teaching Dimension of Linear Learners

Ji Liu, Xiaojin Zhu

cs.SI2017

Countries' Survival in Networked International Environments

Yuke Li, A. Stephen Morse, Ji Liu +1

stat.ML2017

GaDei: On Scale-up Training As A Service For Deep Learning

Wei Zhang, Minwei Feng, Yunhui Zheng +8

physics.app-ph2018

Anti-fatigue-fracture hydrogels

Shaoting Lin, Xinyue Liu, Ji Liu +8

cs.LG2016

Prognostics of Surgical Site Infections using Dynamic Health Data

Chuyang Ke, Yan Jin, Heather Evans +4

math.OC2018

Asynchronous Decentralized Parallel Stochastic Gradient Descent

Xiangru Lian, Wei Zhang, Ce Zhang +1

cs.LG2017

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

Haichuan Yang, Shupeng Gui, Chuyang Ke +3

cs.CV2019

Learning Simple Thresholded Features with Sparse Support Recovery

Hongyu Xu, Zhangyang Wang, Haichuan Yang +2

cs.LG2019

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

Haichuan Yang, Yuhao Zhu, Ji Liu

cs.LG2019

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

Carson Eisenach, Haichuan Yang, Ji Liu +1

cs.DC2018

D$^2$: Decentralized Training over Decentralized Data

Hanlin Tang, Xiangru Lian, Ming Yan +2

cs.LG2019

A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning

Yixuan Lin, Kaiqing Zhang, Zhuoran Yang +4

cs.DC2019

Distributed Learning over Unreliable Networks

Chen Yu, Hanlin Tang, Cedric Renggli +5

cs.LG2017

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

Hantian Zhang, Jerry Li, Kaan Kara +3

cs.LG2019

Fully Implicit Online Learning

Chaobing Song, Ji Liu, Han Liu +2

stat.ML2017

Asynchronous Parallel Empirical Variance Guided Algorithms for the Thresholding Bandit Problem

Jie Zhong, Yijun Huang, Ji Liu

math.OC2015

Products of Generalized Stochastic Sarymsakov Matrices

Weiguo Xia, Ji Liu, Ming Cao +2

cs.AI2019

SCEF: A Support-Confidence-aware Embedding Framework for Knowledge Graph Refinement

Yu Zhao, Ji Liu

stat.ML2017

Duality-free Methods for Stochastic Composition Optimization

Liu Liu, Ji Liu, Dacheng Tao

stat.ML2017

Variance Reduced methods for Non-convex Composition Optimization

Liu Liu, Ji Liu, Dacheng Tao

cond-mat.quant-gas2015

Parametric cooling of a degenerate Fermi gas in an optical trap

Jiaming Li, Ji Liu, Wen Xu +2

math.OC2017

Finite-sum Composition Optimization via Variance Reduced Gradient Descent

Xiangru Lian, Mengdi Wang, Ji Liu

math.OC2015

A Stackelberg Game for Multi-Period Demand Response Management in the Smart Grid

Khaled Alshehri, Ji Liu, Xudong Chen +1

math.OC2017

Multi-Competitive Viruses over Static and Time--Varying Networks

Philip E. Paré, Ji Liu, Carolyn L. Beck +2

cs.LG2018

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

Ke Ren, Haichuan Yang, Yu Zhao +4

stat.ML2018

An Interactive Greedy Approach to Group Sparsity in High Dimensions

Wei Qian, Wending Li, Yasuhiro Sogawa +3

math.OC2017

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

Xiangru Lian, Ce Zhang, Huan Zhang +3

math.OC2015

Exponential Convergence of the Discrete-Time Altafini Model

Ji Liu, Xudong Chen, Tamer Basar +1

math.OC2018

Stochastic Primal-Dual Method for Empirical Risk Minimization with $\mathcal{O}(1)$ Per-Iteration Complexity

Conghui Tan, Tong Zhang, Shiqian Ma +1

cs.AI2018

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

Peng Sun, Xinghai Sun, Lei Han +8

stat.ML2015

Exclusive Sparsity Norm Minimization with Random Groups via Cone Projection

Yijun Huang, Ji Liu

cs.LG2017

Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization

Zhouyuan Huo, Bin Gu, Ji Liu +1

cond-mat.stat-mech2015

Complete scaling makes differences along the critical isobar: Molecular dynamics simulations of Lennard-Jones fluid with finite-time scaling

Yankui Wang, Ji Liu, Jiajie Xiao +1

physics.chem-ph2011

Thickness-Dependent Morphologies of Gold on N-Layer Graphenes

Haiqing Zhou, Caiyu Qiu, Zheng Liu +6

cs.LG2018

AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI

Chen Yu, Bojan Karlas, Jie Zhong +2

cs.LG2018

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

Jiechao Xiong, Qing Wang, Zhuoran Yang +7

cs.IR2019

Optimal Projection Guided Transfer Hashing for Image Retrieval

Ji Liu, Lei Zhang

quant-ph2013

Google In A Photonic Lattice

Kallol Roy, Ji Liu, Le Luo +4

cs.DB2017

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

Tian Li, Jie Zhong, Ji Liu +2

stat.ML2014

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

Ji Liu, Ryohei Fujimaki, Jieping Ye

math.NA2014

An Asynchronous Parallel Randomized Kaczmarz Algorithm

Ji Liu, Stephen J. Wright, Srikrishna Sridhar

math.OC2018

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

Liu Liu, Ji Liu, Cho-Jui Hsieh +1

math.OC2016

Accelerating Stochastic Composition Optimization

Mengdi Wang, Ji Liu, Ethan X. Fang

cs.LG2017

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

Jinfeng Yi, Qi Lei, Wesley Gifford +2

math.OC2017

On Convergence Rate of a Continuous-Time Distributed Self-Appraisal Model with Time-Varying Relative Interaction Matrices

Weiguo Xia, Ji Liu, Tamer Basar +1

math.OC2019

Analysis and Control of a Continuous-Time Bi-Virus Model

Ji Liu, Philip E. Pare, Angelia Nedich +3

stat.ML2013

Robust Dequantized Compressive Sensing

Ji Liu, Stephen J. Wright

math.OC2016

On the Analysis of a Continuous-Time Bi-Virus Model

Ji Liu, Philip E. Paré, Angelia Nedić +3