Jia Liu - RankMe

199 papers A* 54A 6B 24C 1Misc 3Journal 92Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Multi-Objective Bilevel Learning. AAAI Zhiyao Zhang, Zhuqing Liu, Xin Zhang, Wen-Yen Chen, Jiyan Yang, Jia Liu
2025	J	`jnl`	A Scalable Lift-and-Project Differentiable Approach For the Maximum Cut Problem. CoRR Ismail Alkhouri, Mian Wu, Cunxi Yu, Jia Liu, Rongrong Wang, Alvaro Velasquez
2025	—	`conf`	Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing. WWW (Companion Volume) Minghong Fang, Zhuqing Liu, Xuecen Zhao, Jia Liu
2025	J	`jnl`	Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing. CoRR Minghong Fang, Zhuqing Liu, Xuecen Zhao, Jia Liu
2025	B	`conf`	Consensus-based Decentralized Multi-agent Reinforcement Learning for Random Access Network Optimization. MobiHoc Myeung Suk Oh, Zhiyao Zhang, Hairi, Alvaro Velasquez, Jia Liu
2025	J	`jnl`	Consensus-based Decentralized Multi-agent Reinforcement Learning for Random Access Network Optimization. CoRR Myeung Suk Oh, Zhiyao Zhang, Hairi, Alvaro Velasquez, Jia Liu
2025	A*	`conf`	DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity. ICLR Zhen Qin, Zhuqing Liu, Songtao Lu, Yingbin Liang, Jia Liu
2025	A*	`conf`	Differentiable Quadratic Optimization For the Maximum Independent Set Problem. ICML Ismail Alkhouri, Cedric Le Denmat, Yingjie Li, Cunxi Yu, Jia Liu, Rongrong Wang, Alvaro Velasquez
2025	A	`conf`	Divide and Orthogonalize: Efficient Continual Learning with Local Model Space Projection. UAI Jin Shang, Simone Shao, Tian Tong, Fan Yang, Yetian Chen, Yang Jiao, Jia Liu, Yan Gao
2025	A*	`conf`	EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models. EMNLP Han Liu, Ruoyao Wen, Srijith Nair, Jia Liu, Wenjing Lou, Chongjie Zhang, William Yeoh, Yevgeniy Vorobeychik, Ning Zhang
2025	J	`jnl`	EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models. CoRR Han Liu, Ruoyao Wen, Srijith Nair, Jia Liu, Wenjing Lou, Chongjie Zhang, William Yeoh, Yevgeniy Vorobeychik, Ning Zhang
2025	—	`conf`	Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach. CDC Hairi, Yang Jiao, Tianchen Zhou, Haibo Yang, Chaosheng Dong, Fan Yang, Michinari Momma, Yan Gao, Jia Liu
2025	J	`jnl`	Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach. CoRR Hairi, Jiao Yang, Tianchen Zhou, Haibo Yang, Chaosheng Dong, Fan Yang, Michinari Momma, Yan Gao, Jia Liu
2025	J	`jnl`	FIRM: Federated In-client Regularized Multi-objective Alignment for Large Language Models. CoRR Fatemeh Nourzad, Amirhossein Roknilamouki, Eylem Ekici, Jia Liu, Ness B. Shroff
2025	A*	`conf`	FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation. ICML Srijith Nair, Michael Lin, Peizhong Ju, Amirreza Talebi, Elizabeth Serena Bentley, Jia Liu
2025	J	`jnl`	FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation. CoRR Srijith Nair, Michael Lin, Amirreza Talebi, Peizhong Ju, Elizabeth S. Bentley, Jia Liu
2025	A*	`conf`	Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning. ICML Zhiyao Zhang, Myeung Suk Oh, Hairi, Ziyue Luo, Alvaro Velasquez, Jia Liu
2025	J	`jnl`	Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning. CoRR Zhiyao Zhang, Myeung Suk Oh, Hairi, Ziyue Luo, Alvaro Velasquez, Jia Liu
2025	J	`jnl`	Multi-Objective Bilevel Learning. CoRR Zhiyao Zhang, Zhuqing Liu, Xin Zhang, Wen-Yen Chen, Jiyan Yang, Jia Liu
2025	—	`conf`	PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems. WWW (Companion Volume) Mingdai Yang, Fan Yang, Yanhui Guo, Shaoyuan Xu, Tianchen Zhou, Yetian Chen, Simone Shao, Jia Liu, Yan Gao
2025	J	`jnl`	PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems. CoRR Mingdai Yang, Fan Yang, Yanhui Guo, Shaoyuan Xu, Tianchen Zhou, Yetian Chen, Simone Shao, Jia Liu, Yan Gao
2025	A*	`conf`	PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization. AAAI Mingjing Xu, Peizhong Ju, Jia Liu, Haibo Yang
2025	A*	`conf`	Prediction-Assisted Online Distributed Deep Learning Workload Scheduling in GPU Clusters. INFOCOM Ziyue Luo, Jia Liu, Myungjin Lee, Ness B. Shroff
2025	J	`jnl`	Prediction-Assisted Online Distributed Deep Learning Workload Scheduling in GPU Clusters. CoRR Ziyue Luo, Jia Liu, Myungjin Lee, Ness B. Shroff
2025	A	`conf`	STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning. UAI Zhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang, Jia Liu
2025	J	`jnl`	STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning. CoRR Zhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang, Jia Liu
2024	A*	`conf`	Byzantine-Robust Decentralized Federated Learning. CCS Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu, Songtao Lu, Yuchen Liu, Neil Gong
2024	J	`jnl`	Byzantine-Robust Decentralized Federated Learning. CoRR Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu, Songtao Lu, Yuchen Liu, Neil Zhenqiang Gong
2024	B	`conf`	Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning? MobiHoc Peizhong Ju, Haibo Yang, Jia Liu, Yingbin Liang, Ness B. Shroff
2024	J	`jnl`	Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning? CoRR Peizhong Ju, Haibo Yang, Jia Liu, Yingbin Liang, Ness B. Shroff
2024	J	`jnl`	Dataless Quadratic Neural Networks for the Maximum Independent Set Problem. CoRR Ismail Alkhouri, Cedric Le Denmat, Yingjie Li, Cunxi Yu, Jia Liu, Rongrong Wang, Alvaro Velasquez
2024	J	`jnl`	Drift to Remember. CoRR Jin Du, Xinhe Zhang, Hao Shen, Xun Xian, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Na Li, Jia Liu, Jie Ding
2024	A*	`conf`	Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning. ICML Tianchen Zhou, Hairi, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, Yan Gao
2024	J	`jnl`	Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning. CoRR Tianchen Zhou, Hairi, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, Yan Gao
2024	B	`conf`	On the Hardness of Decentralized Multi-Agent Policy Evaluation Under Byzantine Attacks. WiOpt Hairi, Minghong Fang, Zifan Zhang, Alvaro Velasquez, Jia Liu
2024	J	`jnl`	On the Hardness of Decentralized Multi-Agent Policy Evaluation under Byzantine Attacks. CoRR Hairi, Minghong Fang, Zifan Zhang, Alvaro Velasquez, Jia Liu
2024	A*	`conf`	PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation. ICLR Zhuqing Liu, Xin Zhang, Jia Liu, Zhengyuan Zhu, Songtao Lu
2024	J	`jnl`	PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization. CoRR Mingjing Xu, Peizhong Ju, Jia Liu, Haibo Yang
2024	—	`conf`	Rethinking Sequential Relationships: Improving Sequential Recommenders with Inter-Sequence Data Augmentation. WWW (Companion Volume) Yang Jiao, Fan Yang, Yetian Chen, Yan Gao, Jia Liu, Yi Sun
2024	A	`conf`	Sample and Communication Efficient Fully Decentralized MARL Policy Evaluation via a New Approach: Local TD Update. AAMAS Hairi, Zifan Zhang, Jia Liu
2024	J	`jnl`	Sample and Communication Efficient Fully Decentralized MARL Policy Evaluation via a New Approach: Local TD update. CoRR Hairi, Zifan Zhang, Jia Liu
2024	A*	`conf`	Transitivity-Encoded Graph Attention Networks for Complementary Item Recommendations. ICDM Jin Shang, Yang Jiao, Chenghuan Guo, Minghao Sun, Yan Gao, Jia Liu, Michinari Momma, Itetsu Taru, Yi Sun
2024	A*	`conf`	Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation. ICML Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu
2024	J	`jnl`	Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation. CoRR Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu
2023	J	`jnl`	AdaSelection: Accelerating Deep Learning Training through Data Subsampling. CoRR Minghe Zhang, Chaosheng Dong, Jinmiao Fu, Tianchen Zhou, Jia Liang, Jia Liu, Bo Liu, Michinari Momma, Bryan Wang, Yan Gao, Yi Sun
2023	J	`jnl`	Bandit Learning to Rank with Position-Based Click Models: Personalized and Equal Treatments. CoRR Tianchen Zhou, Jia Liu, Yang Jiao, Chaosheng Dong, Yetian Chen, Yan Gao, Yi Sun
2023	A*	`conf`	DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization. INFOCOM Peiwen Qiu, Yining Li, Zhuqing Liu, Prashant Khanduri, Jia Liu, Ness B. Shroff, Elizabeth Serena Bentley, Kurt A. Turck
2023	A*	`conf`	Federated Multi-Objective Learning. NeurIPS Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma
2023	J	`jnl`	Federated Multi-Objective Learning. CoRR Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma
2023	J	`jnl`	Guest Editorial: Interplay Between Machine Learning and Networking Systems. IEEE Netw. Xiaowen Chu, Shadi Ibrahim, Jia Liu, Shiqiang Wang, Chuan Wu, Rongfei Zeng
2023	A*	`conf`	Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach. ICML Prashant Khanduri, Ioannis C. Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong
2023	B	`conf`	PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities. MobiHoc Zhuqing Liu, Xin Zhang, Songtao Lu, Jia Liu
2023	J	`jnl`	PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities. CoRR Zhuqing Liu, Xin Zhang, Songtao Lu, Jia Liu
2023	A*	`conf`	Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning. ICML Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu
2022	A*	`conf`	A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity. ICML Michinari Momma, Chaosheng Dong, Jia Liu
2022	A*	`conf`	A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization. NeurIPS Songtao Lu, Siliang Zeng, Xiaodong Cui, Mark S. Squillante, Lior Horesh, Brian Kingsbury, Jia Liu, Mingyi Hong
2022	A*	`conf`	A global convergence theory for deep ReLU implicit networks via over-parameterization. ICLR Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao
2022	A	`conf`	AFLGuard: Byzantine-robust Asynchronous Federated Learning. ACSAC Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley
2022	J	`jnl`	AFLGuard: Byzantine-robust Asynchronous Federated Learning. CoRR Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley
2022	J	`jnl`	An RC-Network Approach for HVAC Precooling Optimization in Buildings. IEEE Trans. Sustain. Comput. Hongsen Shi, Jia Liu, Qian Chen
2022	A*	`conf`	Anarchic Federated Learning. ICML Haibo Yang, Xin Zhang, Prashant Khanduri, Jia Liu
2022	A*	`conf`	Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences. ICLR Tianchen Zhou, Jia Liu, Chaosheng Dong, Yi Sun
2022	—	`conf`	CHARLES: Channel-Quality-Adaptive Over-the-Air Federated Learning over Wireless Networks. SPAWC Jiayu Mao, Haibo Yang, Peiwen Qiu, Jia Liu, Aylin Yener
2022	J	`jnl`	CHARLES: Channel-Quality-Adaptive Over-the-Air Federated Learning over Wireless Networks. CoRR Jiayu Mao, Haibo Yang, Peiwen Qiu, Jia Liu, Aylin Yener
2022	J	`jnl`	DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization. CoRR Peiwen Qiu, Yining Li, Zhuqing Liu, Prashant Khanduri, Jia Liu, Ness B. Shroff, Elizabeth Serena Bentley, Kurt A. Turck
2022	A*	`conf`	Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach. ICLR Prashant Khanduri, Haibo Yang, Mingyi Hong, Jia Liu, Hoi-To Wai, Sijia Liu
2022	J	`jnl`	Distributed Traffic Flow Consolidation for Power Efficiency of Large-Scale Data Center Network. IEEE Trans. Cloud Comput. Kuangyu Zheng, Xiaorui Wang, Jia Liu
2022	C	`conf`	FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data. SACMAT Minghong Fang, Jia Liu, Michinari Momma, Yi Sun
2022	J	`jnl`	FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data. CoRR Minghong Fang, Jia Liu, Michinari Momma, Yi Sun
2022	A*	`conf`	Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward. ICLR Hairi, Jia Liu, Songtao Lu
2022	A*	`conf`	GADGET: Online Resource Optimization for Scheduling Ring-All-Reduce Learning Jobs. INFOCOM Menglu Yu, Ye Tian, Bo Ji, Chuan Wu, Hridesh Rajan, Jia Liu
2022	J	`jnl`	GADGET: Online Resource Optimization for Scheduling Ring-All-Reduce Learning Jobs. CoRR Menglu Yu, Ye Tian, Bo Ji, Chuan Wu, Hridesh Rajan, Jia Liu
2022	J	`jnl`	INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks. CoRR Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu
2022	B	`conf`	INTERACT: achieving low sample and communication complexities in decentralized bilevel learning over networks. MobiHoc Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu
2022	—	`conf`	Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. CIC Sen Lin, Ming Shi, Anish Arora, Raef Bassily, Elisa Bertino, Constantine Caramanis, Kaushik R. Chowdhury, Eylem Ekici, Atilla Eryilmaz, Stratis Ioannidis, Nan Jiang, Gauri Joshi, Jim Kurose, Yingbin Liang, Zhiqiang Lin, Jia Liu, Mingyan Liu, Tommaso Melodia, Aryan Mokhtari, Rob Nowak, Sewoong Oh, Srini Parthasarathy, Chunyi Peng, Hulya Seferoglu, Ness B. Shroff, Sanjay Shakkottai, Kannan Srinivasan, Ameet Talwalkar, Aylin Yener, Lei Ying
2022	J	`jnl`	NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data. CoRR Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu
2022	B	`conf`	NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data. MobiHoc Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu
2022	J	`jnl`	On Scheduling Ring-All-Reduce Learning Jobs in Multi-Tenant GPU Clusters with Communication Contention. CoRR Menglu Yu, Bo Ji, Hridesh Rajan, Jia Liu
2022	B	`conf`	On scheduling ring-all-reduce learning jobs in multi-tenant GPU clusters with communication contention. MobiHoc Menglu Yu, Bo Ji, Hridesh Rajan, Jia Liu
2022	B	`conf`	Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control. ISIT Haibo Yang, Peiwen Qiu, Jia Liu, Aylin Yener
2022	J	`jnl`	Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control. CoRR Haibo Yang, Peiwen Qiu, Jia Liu, Aylin Yener
2022	A*	`conf`	SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning. NeurIPS Haibo Yang, Zhuqing Liu, Xin Zhang, Jia Liu
2022	J	`jnl`	SAGDA: Achieving O(ε CoRR Haibo Yang, Zhuqing Liu, Xin Zhang, Jia Liu
2022	J	`jnl`	SYNTHESIS: A Semi-Asynchronous Path-Integrated Stochastic Gradient Method for Distributed Learning in Computing Clusters. CoRR Zhuqing Liu, Xin Zhang, Jia Liu
2022	B	`conf`	SYNTHESIS: a semi-asynchronous path-integrated stochastic gradient method for distributed learning in computing clusters. MobiHoc Zhuqing Liu, Xin Zhang, Jia Liu
2022	A*	`conf`	Taming Fat-Tailed ("Heavier-Tailed" with Potentially Infinite Variance) Noise in Federated Learning. NeurIPS Haibo Yang, Peiwen Qiu, Jia Liu
2022	J	`jnl`	Taming Fat-Tailed ("Heavier-Tailed" with Potentially Infinite Variance) Noise in Federated Learning. CoRR Haibo Yang, Peiwen Qiu, Jia Liu
2022	J	`jnl`	Toward Efficient Online Scheduling for Distributed Machine Learning Systems. IEEE Trans. Netw. Sci. Eng. Menglu Yu, Jia Liu, Chuan Wu, Bo Ji, Elizabeth S. Bentley
2021	A*	`conf`	A Sum-of-Ratios Multi-Dimensional-Knapsack Decomposition for DNN Resource Scheduling. INFOCOM Menglu Yu, Chuan Wu, Bo Ji, Jia Liu
2021	J	`jnl`	A Sum-of-Ratios Multi-Dimensional-Knapsack Decomposition for DNN Resource Scheduling. CoRR Menglu Yu, Chuan Wu, Bo Ji, Jia Liu
2021	J	`jnl`	A global convergence theory for deep ReLU implicit networks via over-parameterization. CoRR Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao
2021	—	`conf`	ARA: A Wireless Living Lab Vision for Smart and Connected Rural Communities. WiNTECH Hongwei Zhang, Yong Guan, Ahmed E. Kamal, Daji Qiao, Mai Zheng, Anish Arora, Ozdal Boyraz, Brian Cox, Thomas Daniels, Matthew J. Darr, Doug Jacobson, Ashfaq Khokhar, Sang Wu Kim, James Koltes, Jia Liu, Mike Luby, Larysa Nadolny, Joshua M. Peschel, Patrick S. Schnable, Anuj Sharma, Arun Somani, Lie Tang
2021	J	`jnl`	Achieving Information Freshness With Selfish and Rational Users in Mobile Crowd-Learning. IEEE J. Sel. Areas Commun. Bin Li, Jia Liu
2021	A*	`conf`	Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning. ICLR Haibo Yang, Minghong Fang, Jia Liu
2021	J	`jnl`	Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning. CoRR Haibo Yang, Minghong Fang, Jia Liu
2021	J	`jnl`	Anarchic Federated Learning. CoRR Haibo Yang, Xin Zhang, Prashant Khanduri, Jia Liu
2021	B	`conf`	CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning. WiOpt Haibo Yang, Jia Liu, Elizabeth S. Bentley
2021	J	`jnl`	CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning. CoRR Haibo Yang, Jia Liu, Elizabeth S. Bentley
2021	A*	`conf`	Data Poisoning Attacks and Defenses to Crowdsourcing Systems. WWW Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu
2021	J	`jnl`	Data Poisoning Attacks and Defenses to Crowdsourcing Systems. CoRR Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu
2021	A*	`conf`	FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping. NDSS Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong
2021	B	`conf`	Federated Learning with Fair Worker Selection: A Multi-Round Submodular Maximization Approach. MASS Fengjiao Li, Jia Liu, Bo Ji
2021	J	`jnl`	Federated Learning with Fair Worker Selection: A Multi-Round Submodular Maximization Approach. CoRR Fengjiao Li, Jia Liu, Bo Ji
2021	B	`conf`	GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning. MobiHoc Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth Serena Bentley
2021	J	`jnl`	GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning. CoRR Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
2021	A*	`conf`	Incentivized Bandit Learning with Self-Reinforcing User Preferences. ICML Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng
2021	J	`jnl`	Incentivized Bandit Learning with Self-Reinforcing User Preferences. CoRR Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng
2021	A*	`conf`	Low Sample and Communication Complexities in Decentralized Learning: A Triple Hybrid Approach. INFOCOM Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth Serena Bentley
2021	J	`jnl`	Low-Overhead Wireless Uplink Scheduling for Large-Scale Internet-of-Things. IEEE Trans. Mob. Comput. Bin Li, Jia Liu, Bo Ji
2021	Misc	`conf`	On Logarithmic Regret for Bandits with Knapsacks. CISS Wenbo Ren, Jia Liu, Ness B. Shroff
2021	Misc	`conf`	On the Convergence of Randomized Bregman Coordinate Descent for Non-Lipschitz Composite Problems. ICASSP Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu
2021	A*	`conf`	STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. NeurIPS Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney
2021	J	`jnl`	STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. CoRR Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney
2021	A*	`conf`	Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons. NeurIPS Wenbo Ren, Jia Liu, Ness B. Shroff
2021	A*	`conf`	Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning. NeurIPS Xin Zhang, Zhuqing Liu, Jia Liu, Zhengyuan Zhu, Songtao Lu
2021	J	`jnl`	Toward Efficient Online Scheduling for Distributed Machine Learning Systems. CoRR Menglu Yu, Jia Liu, Chuan Wu, Bo Ji, Elizabeth S. Bentley
2020	—	`conf`	Adaptive Multi-Hierarchical signSGD for Communication-Efficient Distributed Optimization. SPAWC Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
2020	—	`conf`	Can We Improve Information Freshness with Predictions in Mobile Crowd-Learning? INFOCOM Workshops Zhengxiong Yuan, Bin Li, Jia Liu
2020	J	`jnl`	Combinatorial Sleeping Bandits With Fairness Constraints. IEEE Trans. Netw. Sci. Eng. Fengjiao Li, Jia Liu, Bo Ji
2020	A*	`conf`	Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors. INFOCOM Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
2020	J	`jnl`	FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping. CoRR Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong
2020	A*	`conf`	Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. WWW Minghong Fang, Neil Zhenqiang Gong, Jia Liu
2020	J	`jnl`	Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. CoRR Minghong Fang, Neil Zhenqiang Gong, Jia Liu
2020	—	`conf`	MATE: A Memory-Augmented Time-Expansion Approach for Optimal Trip-Vehicle Matching and Routing in Ride-Sharing. e-Energy Ye Tian, Jia Liu, Cathy H. Xia
2020	J	`jnl`	Multi-Armed Bandits with Local Differential Privacy. CoRR Wenbo Ren, Xingyu Zhou, Jia Liu, Ness B. Shroff
2020	A*	`conf`	Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree. NeurIPS Peizhong Ju, Xiaojun Lin, Jia Liu
2020	J	`jnl`	Overfitting Can Be Harmless for Basis Pursuit: Only to a Degree. CoRR Peizhong Ju, Xiaojun Lin, Jia Liu
2020	J	`jnl`	Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach. CoRR Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
2020	B	`conf`	Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach. MobiHoc Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
2020	J	`jnl`	Randomized Bregman Coordinate Descent Methods for Non-Lipschitz Optimization. CoRR Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu
2020	—	`conf`	Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning. CDC Xin Zhang, Jia Liu, Zhengyuan Zhu
2020	A*	`conf`	The Sample Complexity of Best-k Items Selection from Pairwise Comparisons. ICML Wenbo Ren, Jia Liu, Ness B. Shroff
2020	J	`jnl`	The Sample Complexity of Best-k Items Selection from Pairwise Comparisons. CoRR Wenbo Ren, Jia Liu, Ness B. Shroff
2020	—	`conf`	Toward Low-Cost and Stable Blockchain Networks. ICC Minghong Fang, Jia Liu
2020	J	`jnl`	Toward Low-Cost and Stable Blockchain Networks. CoRR Minghong Fang, Jia Liu
2019	—	`conf`	Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach. CDC Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
2019	J	`jnl`	Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach. CoRR Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
2019	B	`conf`	Can We Achieve Fresh Information with Selfish Users in Mobile Crowd-Learning? WiOpt Bin Li, Jia Liu
2019	J	`jnl`	Can We Achieve Fresh Information with Selfish Users in Mobile Crowd-Learning? CoRR Bin Li, Jia Liu
2019	A*	`conf`	Combinatorial Sleeping Bandits with Fairness Constraints. INFOCOM Fengjiao Li, Jia Liu, Bo Ji
2019	J	`jnl`	Combinatorial Sleeping Bandits with Fairness Constraints. CoRR Fengjiao Li, Jia Liu, Bo Ji
2019	J	`jnl`	Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors. CoRR Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
2019	A*	`conf`	Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks. INFOCOM Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
2019	J	`jnl`	Distributed Linear Model Clustering over Networks: A Tree-Based Fused-Lasso ADMM Approach. CoRR Xin Zhang, Jia Liu, Zhengyuan Zhu
2019	A	`conf`	Exploring AISTATS Wenbo Ren, Jia Liu, Ness B. Shroff
2019	J	`jnl`	Hybrid-Beamforming-Based Millimeter-Wave Cellular Network Optimization. IEEE J. Sel. Areas Commun. Jia Liu, Elizabeth S. Bentley
2019	J	`jnl`	Leveraging Two Reference Functions in Block Bregman Proximal Gradient Descent for Non-convex and Non-Lipschitz Problems. CoRR Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu
2019	A*	`conf`	On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons. NeurIPS Wenbo Ren, Jia Liu, Ness B. Shroff
2019	J	`jnl`	On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons. CoRR Wenbo Ren, Jia Liu, Ness B. Shroff
2018	J	`jnl`	Adaptive Stochastic Gradient Langevin Dynamics: Taming Convergence and Saddle Point Escape Time. CoRR Hejian Sang, Jia Liu
2018	J	`jnl`	Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks. CoRR Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
2018	B	`conf`	Efficient and low-overhead uplink scheduling for large-scale wireless Internet-of-Things. WiOpt Bin Li, Bo Ji, Jia Liu
2018	J	`jnl`	Exploring k out of Top ρ Fraction of Arms in Stochastic Bandits. CoRR Wenbo Ren, Jia Liu, Ness B. Shroff
2018	—	`conf`	HVAC Precooling Optimization for Green Buildings: An RC-Network Approach. e-Energy Hongsen Shi, Jia Liu, Qian Chen
2018	A*	`conf`	High-Order Momentum: Improving Latency and Convergence for Wireless Network Optimization. INFOCOM Jia Liu
2018	J	`jnl`	PAC Ranking from Pairwise and Listwise Queries: Lower Bounds and Upper Bounds. CoRR Wenbo Ren, Jia Liu, Ness B. Shroff
2018	A	`conf`	Poisoning Attacks to Graph-Based Recommender Systems. ACSAC Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu
2018	J	`jnl`	Poisoning Attacks to Graph-Based Recommender Systems. CoRR Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu
2018	J	`jnl`	Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning. CoRR Xin Zhang, Jia Liu, Zhengyuan Zhu
2017	B	`conf`	DISCO: Distributed traffic flow consolidation for power efficient data center network. Networking Kuangyu Zheng, Xiaorui Wang, Jia Liu
2017	B	`conf`	Hybrid-beamforming-based millimeter-wave cellular network optimization. WiOpt Jia Liu, Elizabeth S. Bentley
2017	J	`jnl`	Understanding the Impacts of Limited Channel State Information on Massive MIMO Cellular Network Optimization. IEEE J. Sel. Areas Commun. Jia Liu, Atilla Eryilmaz, Ness B. Shroff, Elizabeth S. Bentley
2016	A*	`conf`	Achieving Low-Delay and Fast-Convergence in Stochastic Network Optimization: A Nesterovian Approach. SIGMETRICS Jia Liu
2016	A*	`conf`	Heavy-ball: A new approach to tame delay and convergence in wireless network optimization. INFOCOM Jia Liu, Atilla Eryilmaz, Ness B. Shroff, Elizabeth S. Bentley
2016	J	`jnl`	Joint Congestion Control and Routing Optimization: An Efficient Second-Order Distributed Approach. IEEE/ACM Trans. Netw. Jia Liu, Ness B. Shroff, Cathy H. Xia, Hanif D. Sherali
2016	B	`conf`	Understanding the impact of limited channel state information on massive MIMO network performances. MobiHoc Jia Liu, Atilla Eryilmaz, Ness B. Shroff, Elizabeth S. Bentley
2015	J	`jnl`	On wireless network infrastructure optimisation for cyber-physical systems in future smart buildings. Int. J. Sens. Networks Jia Liu, Tianyou Kou, Qian Chen, Hanif D. Sherali
2014	J	`jnl`	A DoF-Based Link Layer Model for Multi-Hop MIMO Networks. IEEE Trans. Mob. Comput. Yi Shi, Jia Liu, Canming Jiang, Cunhao Gao, Y. Thomas Hou
2014	A*	`conf`	Distributed optimal load shedding for disaster recovery in smart electric power grids: a second-order approach. SIGMETRICS Jia Liu, Cathy H. Xia, Ness B. Shroff, Hanif D. Sherali
2013	J	`jnl`	Bridging the Gap between Protocol and Physical Models for Wireless Networks. IEEE Trans. Mob. Comput. Yi Shi, Y. Thomas Hou, Jia Liu, Sastry Kompella
2013	A*	`conf`	Distributed cross-layer optimization in wireless networks: A second-order approach. INFOCOM Jia Liu, Cathy H. Xia, Ness B. Shroff, Hanif D. Sherali
2013	J	`jnl`	On distributed computation rate optimization for deploying cloud computing programming frameworks. SIGMETRICS Perform. Evaluation Rev. Jia Liu, Cathy H. Xia, Ness B. Shroff, Xiaodong Zhang
2012	A*	`conf`	A distributed Newton's method for joint multi-hop routing and flow control: Theory and algorithm. INFOCOM Jia Liu, Hanif D. Sherali
2012	A*	`conf`	Algorithm design for femtocell base station placement in commercial building environments. INFOCOM Jia Liu, Qian Chen, Hanif D. Sherali
2012	J	`jnl`	Femtocell Base Station Deployment in Commercial Buildings: A Global Optimization Approach. IEEE J. Sel. Areas Commun. Jia Liu, Tianyou Kou, Qian Chen, Hanif D. Sherali
2012	J	`jnl`	Network Coding in Cooperative Communications: Friend or Foe? IEEE Trans. Mob. Comput. Sushant Sharma, Yi Shi, Jia Liu, Y. Thomas Hou, Sastry Kompella, Scott F. Midkiff
2012	—	`conf`	On Wireless Network Infrastructure Optimization for Cyber-Physical Systems in Future Smart Buildings. WASA Jia Liu, Tianyou Kou, Qian Chen, Hanif D. Sherali
2012	J	`jnl`	Optimal Power Allocation in Multi-Relay MIMO Cooperative Networks: Theory and Algorithms. IEEE J. Sel. Areas Commun. Jia Liu, Ness B. Shroff, Hanif D. Sherali
2011	J	`jnl`	A Distributed Newton Approach for Joint Multi-Hop Routing and Flow Control: Theory and Algorithm CoRR Jia Liu, Hanif D. Sherali
2011	A*	`conf`	An optimal link layer model for multi-hop MIMO networks. INFOCOM Yi Shi, Jia Liu, Canming Jiang, Cunhao Gao, Y. Thomas Hou
2010	A*	`conf`	A Tractable and Accurate Cross-Layer Model for Multi-Hop MIMO Networks. INFOCOM Jia Liu, Yi Shi, Y. Thomas Hou
2010	A*	`conf`	Is Network Coding Always Good for Cooperative Communications? INFOCOM Sushant Sharma, Yi Shi, Jia Liu, Y. Thomas Hou, Sastry Kompella
2010	—	`—`	MIMO Wireless Networks: Modeling and Optimization. Jia Liu
2009	B	`conf`	How to correctly use the protocol interference model for multi-hop wireless networks. MobiHoc Yi Shi, Y. Thomas Hou, Jia Liu, Sastry Kompella
2009	B	`conf`	On performance optimization for multi-carrier MIMO ad hoc networks. MobiHoc Jia Liu, Y. Thomas Hou, Yi Shi, Hanif D. Sherali
2009	Misc	`conf`	Optimal power allocation for achieving perfect secrecy capacity in MIMO wire-tap channels. CISS Jia Liu, Y. Thomas Hou, Hanif D. Sherali
2008	J	`jnl`	Cross-Layer Optimization for MIMO-Based Wireless Ad Hoc Networks: Routing, Power Allocation, and Bandwidth Allocation. IEEE J. Sel. Areas Commun. Jia Liu, Y. Thomas Hou, Yi Shi, Hanif D. Sherali
2008	—	`conf`	On the Maximum Weighted Sum-Rate of MIMO Gaussian Broadcast Channels. ICC Jia Liu, Yiwei Thomas Hou, Hanif D. Sherali
2008	J	`jnl`	On the capacity of multiuser MIMO networks with interference. IEEE Trans. Wirel. Commun. Jia Liu, Y. Thomas Hou, Yi Shi, Hanif D. Sherali, Sastry Kompella
2008	—	`conf`	Routing and Power Allocation for MIMO-Based Ad Hoc Networks with Dirty Paper Coding. ICC Jia Liu, Yiwei Thomas Hou, Hanif D. Sherali
2008	A*	`conf`	Weighted Proportional Fairness Capacity of Gaussian MIMO Broadcast Channels. INFOCOM Jia Liu, Y. Thomas Hou
2007	B	`conf`	Conjugate Gradient Projection Approach for MIMO Gaussian Broadcast Channels. ISIT Jia Liu, Y. Thomas Hou, Sastry Kompella, Hanif D. Sherali
2007	J	`jnl`	Conjugate Gradient Projection Approach for Multi-Antenna Gaussian Broadcast Channels CoRR Jia Liu, Y. Thomas Hou, Hanif D. Sherali
2007	B	`conf`	Cross-Layer Optimization of MIMO-Based Mesh Networks Under Orthogonal Channels. WCNC Jia Liu, Tae Yoon Park, Y. Thomas Hou, Yi Shi, Hanif D. Sherali
2007	J	`jnl`	Cross-Layer Optimization of MIMO-Based Mesh Networks with Gaussian Vector Broadcast Channels CoRR Jia Liu, Y. Thomas Hou
2007	J	`jnl`	Maximum Weighted Sum Rate of Multi-Antenna Broadcast Channels CoRR Jia Liu, Y. Thomas Hou
2006	B	`conf`	Optimization of Multiuser MIMO Networks with Interference. GLOBECOM Jia Liu, Y. Thomas Hou, Yi Shi, Hanif D. Sherali
2004	B	`conf`	A cross-layer design perspective for multi-resolution signaling. GLOBECOM Annamalai Annamalai, Jia Liu
2004	—	`conf`	Multi-resolution signaling for multimedia multicasting. VTC Fall (2) Jia Liu, Annamalai Annamalai