Jia Liu

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 97

Top Venues

Publications

Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu, Songtao Lu, Yuchen Liu, Neil Zhenqiang Gong
Byzantine-Robust Decentralized Federated Learning. CoRR (2024)
Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation. CoRR (2024)
Tianchen Zhou, Hairi, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, Yan Gao
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning. CoRR (2024)
Zhuqing Liu, Xin Zhang, Jia Liu, Zhengyuan Zhu, Songtao Lu
PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation. ICLR (2024)
Zhuqing Liu, Xin Zhang, Songtao Lu, Jia Liu
PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities. CoRR (2023)
Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley
AFLGuard: Byzantine-robust Asynchronous Federated Learning. CoRR (2022)
Haibo Yang, Peiwen Qiu, Jia Liu, Aylin Yener
Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control. CoRR (2022)
Haibo Yang, Xin Zhang, Prashant Khanduri, Jia Liu
Anarchic Federated Learning. ICML (2022)
Zhuqing Liu, Xin Zhang, Jia Liu
SYNTHESIS: A Semi-Asynchronous Path-Integrated Stochastic Gradient Method for Distributed Learning in Computing Clusters. CoRR (2022)
Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu
INTERACT: achieving low sample and communication complexities in decentralized bilevel learning over networks. MobiHoc (2022)
Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu
NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data. MobiHoc (2022)
Menglu Yu, Jia Liu, Chuan Wu, Bo Ji, Elizabeth S. Bentley
Toward Efficient Online Scheduling for Distributed Machine Learning Systems. IEEE Trans. Netw. Sci. Eng. 9 (4) (2022)
Minghong Fang, Jia Liu, Michinari Momma, Yi Sun
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data. SACMAT (2022)
Hairi, Jia Liu, Songtao Lu
Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward. ICLR (2022)
Jiayu Mao, Haibo Yang, Peiwen Qiu, Jia Liu, Aylin Yener
CHARLES: Channel-Quality-Adaptive Over-the-Air Federated Learning over Wireless Networks. CoRR (2022)
Menglu Yu, Ye Tian, Bo Ji, Chuan Wu, Hridesh Rajan, Jia Liu
GADGET: Online Resource Optimization for Scheduling Ring-All-Reduce Learning Jobs. INFOCOM (2022)
Menglu Yu, Bo Ji, Hridesh Rajan, Jia Liu
On Scheduling Ring-All-Reduce Learning Jobs in Multi-Tenant GPU Clusters with Communication Contention. CoRR (2022)
Haibo Yang, Peiwen Qiu, Jia Liu, Aylin Yener
Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control. ISIT (2022)
Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley
AFLGuard: Byzantine-robust Asynchronous Federated Learning. ACSAC (2022)
Haibo Yang, Peiwen Qiu, Jia Liu
Taming Fat-Tailed ("Heavier-Tailed" with Potentially Infinite Variance) Noise in Federated Learning. NeurIPS (2022)
Peiwen Qiu, Yining Li, Zhuqing Liu, Prashant Khanduri, Jia Liu, Ness B. Shroff, Elizabeth Serena Bentley, Kurt Turck
DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization. CoRR (2022)
Jiayu Mao, Haibo Yang, Peiwen Qiu, Jia Liu, Aylin Yener
CHARLES: Channel-Quality-Adaptive Over-the-Air Federated Learning over Wireless Networks. SPAWC (2022)
Menglu Yu, Bo Ji, Hridesh Rajan, Jia Liu
On scheduling ring-all-reduce learning jobs in multi-tenant GPU clusters with communication contention. MobiHoc (2022)
Songtao Lu, Siliang Zeng, Xiaodong Cui, Mark S. Squillante, Lior Horesh, Brian Kingsbury, Jia Liu, Mingyi Hong
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization. NeurIPS (2022)
Haibo Yang, Zhuqing Liu, Xin Zhang, Jia Liu
SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning. NeurIPS (2022)
Hongsen Shi, Jia Liu, Qian Chen
An RC-Network Approach for HVAC Precooling Optimization in Buildings. IEEE Trans. Sustain. Comput. 7 (3) (2022)
Kuangyu Zheng, Xiaorui Wang, Jia Liu
Distributed Traffic Flow Consolidation for Power Efficiency of Large-Scale Data Center Network. IEEE Trans. Cloud Comput. 10 (2) (2022)
Menglu Yu, Ye Tian, Bo Ji, Chuan Wu, Hridesh Rajan, Jia Liu
GADGET: Online Resource Optimization for Scheduling Ring-All-Reduce Learning Jobs. CoRR (2022)
Bin Li, Jia Liu
Achieving Information Freshness With Selfish and Rational Users in Mobile Crowd-Learning. IEEE J. Sel. Areas Commun. 39 (5) (2021)
Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu
Data Poisoning Attacks and Defenses to Crowdsourcing Systems. WWW (2021)
Menglu Yu, Chuan Wu, Bo Ji, Jia Liu
A Sum-of-Ratios Multi-Dimensional-Knapsack Decomposition for DNN Resource Scheduling. CoRR (2021)
Haibo Yang, Jia Liu, Elizabeth S. Bentley
CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning. CoRR (2021)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth Serena Bentley
Low Sample and Communication Complexities in Decentralized Learning: A Triple Hybrid Approach. INFOCOM (2021)
Menglu Yu, Chuan Wu, Bo Ji, Jia Liu
A Sum-of-Ratios Multi-Dimensional-Knapsack Decomposition for DNN Resource Scheduling. INFOCOM (2021)
Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. NeurIPS (2021)
Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu
On the Convergence of Randomized Bregman Coordinate Descent for Non-Lipschitz Composite Problems. ICASSP (2021)
Haibo Yang, Jia Liu, Elizabeth S. Bentley
CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning. WiOpt (2021)
Wenbo Ren, Jia Liu, Ness B. Shroff
On Logarithmic Regret for Bandits with Knapsacks. CISS (2021)
Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping. NDSS (2021)
Haibo Yang, Minghong Fang, Jia Liu
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning. ICLR (2021)
Bin Li, Jia Liu, Bo Ji
Low-Overhead Wireless Uplink Scheduling for Large-Scale Internet-of-Things. IEEE Trans. Mob. Comput. 20 (2) (2021)
Haibo Yang, Minghong Fang, Jia Liu
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning. CoRR (2021)
Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. CoRR (2021)
Wenbo Ren, Jia Liu, Ness B. Shroff
Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons. NeurIPS (2021)
Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu
Data Poisoning Attacks and Defenses to Crowdsourcing Systems. CoRR (2021)
Menglu Yu, Jia Liu, Chuan Wu, Bo Ji, Elizabeth S. Bentley
Toward Efficient Online Scheduling for Distributed Machine Learning Systems. CoRR (2021)
Xin Zhang, Zhuqing Liu, Jia Liu, Zhengyuan Zhu, Songtao Lu
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning. NeurIPS (2021)
Wenbo Ren, Jia Liu, Ness B. Shroff
The Sample Complexity of Best-k Items Selection from Pairwise Comparisons. ICML (2020)
Minghong Fang, Jia Liu
Toward Low-Cost and Stable Blockchain Networks. ICC (2020)
Wenbo Ren, Jia Liu, Ness B. Shroff
The Sample Complexity of Best-k Items Selection from Pairwise Comparisons. CoRR (2020)
Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach. CoRR (2020)
Minghong Fang, Jia Liu
Toward Low-Cost and Stable Blockchain Networks. CoRR (2020)
Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu
Randomized Bregman Coordinate Descent Methods for Non-Lipschitz Optimization. CoRR (2020)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors. INFOCOM (2020)
Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach. MobiHoc (2020)
Peizhong Ju, Xiaojun Lin, Jia Liu
Overfitting Can Be Harmless for Basis Pursuit: Only to a Degree. CoRR (2020)
Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
Adaptive Multi-Hierarchical signSGD for Communication-Efficient Distributed Optimization. SPAWC (2020)
Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping. CoRR (2020)
Peizhong Ju, Xiaojun Lin, Jia Liu
Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree. NeurIPS (2020)
Minghong Fang, Neil Zhenqiang Gong, Jia Liu
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. CoRR (2020)
Zhengxiong Yuan, Bin Li, Jia Liu
Can We Improve Information Freshness with Predictions in Mobile Crowd-Learning? INFOCOM Workshops (2020)
Fengjiao Li, Jia Liu, Bo Ji
Combinatorial Sleeping Bandits With Fairness Constraints. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
Wenbo Ren, Xingyu Zhou, Jia Liu, Ness B. Shroff
Multi-Armed Bandits with Local Differential Privacy. CoRR (2020)
Xin Zhang, Jia Liu, Zhengyuan Zhu
Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning. CDC (2020)
Minghong Fang, Neil Zhenqiang Gong, Jia Liu
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. WWW (2020)
Wenbo Ren, Jia Liu, Ness B. Shroff
On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons. NeurIPS (2019)
Fengjiao Li, Jia Liu, Bo Ji
Combinatorial Sleeping Bandits with Fairness Constraints. INFOCOM (2019)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks. INFOCOM (2019)
Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach. CDC (2019)
Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu
Leveraging Two Reference Functions in Block Bregman Proximal Gradient Descent for Non-convex and Non-Lipschitz Problems. CoRR (2019)
Xin Zhang, Jia Liu, Zhengyuan Zhu
Distributed Linear Model Clustering over Networks: A Tree-Based Fused-Lasso ADMM Approach. CoRR (2019)
Wenbo Ren, Jia Liu, Ness B. Shroff
Exploring $k$ out of Top $ρ$ Fraction of Arms in Stochastic Bandits. AISTATS (2019)
Fengjiao Li, Jia Liu, Bo Ji
Combinatorial Sleeping Bandits with Fairness Constraints. CoRR (2019)
Bin Li, Jia Liu
Can We Achieve Fresh Information with Selfish Users in Mobile Crowd-Learning? WiOpt (2019)
Wenbo Ren, Jia Liu, Ness B. Shroff
On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons. CoRR (2019)
Bin Li, Jia Liu
Can We Achieve Fresh Information with Selfish Users in Mobile Crowd-Learning? CoRR (2019)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors. CoRR (2019)
Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach. CoRR (2019)
Jia Liu, Elizabeth S. Bentley
Hybrid-Beamforming-Based Millimeter-Wave Cellular Network Optimization. IEEE J. Sel. Areas Commun. 37 (12) (2019)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks. CoRR (2018)
Jia Liu
High-Order Momentum: Improving Latency and Convergence for Wireless Network Optimization. INFOCOM (2018)
Hejian Sang, Jia Liu
Adaptive Stochastic Gradient Langevin Dynamics: Taming Convergence and Saddle Point Escape Time. CoRR (2018)
Wenbo Ren, Jia Liu, Ness B. Shroff
PAC Ranking from Pairwise and Listwise Queries: Lower Bounds and Upper Bounds. CoRR (2018)
Xin Zhang, Jia Liu, Zhengyuan Zhu
Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning. CoRR (2018)
Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu
Poisoning Attacks to Graph-Based Recommender Systems. CoRR (2018)
Wenbo Ren, Jia Liu, Ness B. Shroff
Exploring k out of Top ρ Fraction of Arms in Stochastic Bandits. CoRR (2018)
Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu
Poisoning Attacks to Graph-Based Recommender Systems. ACSAC (2018)
Hongsen Shi, Jia Liu, Qian Chen
HVAC Precooling Optimization for Green Buildings: An RC-Network Approach. e-Energy (2018)
Bin Li, Bo Ji, Jia Liu
Efficient and low-overhead uplink scheduling for large-scale wireless Internet-of-Things. WiOpt (2018)
Kuangyu Zheng, Xiaorui Wang, Jia Liu
DISCO: Distributed traffic flow consolidation for power efficient data center network. Networking (2017)
Jia Liu, Elizabeth S. Bentley
Hybrid-beamforming-based millimeter-wave cellular network optimization. WiOpt (2017)
Jia Liu, Atilla Eryilmaz, Ness B. Shroff, Elizabeth S. Bentley
Understanding the Impacts of Limited Channel State Information on Massive MIMO Cellular Network Optimization. IEEE J. Sel. Areas Commun. 35 (8) (2017)
Jia Liu, Atilla Eryilmaz, Ness B. Shroff, Elizabeth S. Bentley
Understanding the impact of limited channel state information on massive MIMO network performances. MobiHoc (2016)
Jia Liu, Atilla Eryilmaz, Ness B. Shroff, Elizabeth S. Bentley
Heavy-ball: A new approach to tame delay and convergence in wireless network optimization. INFOCOM (2016)
Jia Liu
Achieving Low-Delay and Fast-Convergence in Stochastic Network Optimization: A Nesterovian Approach. SIGMETRICS (2016)
Jia Liu, Ness B. Shroff, Cathy H. Xia, Hanif D. Sherali
Joint Congestion Control and Routing Optimization: An Efficient Second-Order Distributed Approach. IEEE/ACM Trans. Netw. 24 (3) (2016)
Jia Liu, Tianyou Kou, Qian Chen, Hanif D. Sherali
On wireless network infrastructure optimisation for cyber-physical systems in future smart buildings. Int. J. Sens. Networks 18 (3/4) (2015)
Yi Shi, Jia Liu, Canming Jiang, Cunhao Gao, Y. Thomas Hou
A DoF-Based Link Layer Model for Multi-Hop MIMO Networks. IEEE Trans. Mob. Comput. 13 (7) (2014)
Jia Liu, Cathy H. Xia, Ness B. Shroff, Hanif D. Sherali
Distributed optimal load shedding for disaster recovery in smart electric power grids: a second-order approach. SIGMETRICS (2014)
Jia Liu, Cathy H. Xia, Ness B. Shroff, Hanif D. Sherali
Distributed cross-layer optimization in wireless networks: A second-order approach. INFOCOM (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jia Liu