Fast Approximate Matching Algorithm for Phone-based Keyword Spotting. - Xin Zhang 054; Meng Cai; Jia Liu 001 (J. Networks, 2013)

Drug-target interaction prediction by integrating multiview network data. - Xin Zhang 054; Limin Li; Michael K. Ng 001; Shuqin Zhang (Comput. Biol. Chem., 2017)

Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach. - Haibo Yang 001; Xin Zhang 054; Minghong Fang; Jia Liu 002 (CDC, 2019)

Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks. - Xin Zhang 054; Jia Liu 002; Zhengyuan Zhu; Elizabeth S. Bentley (INFOCOM, 2019)

Spatial CUSUM for Signal Region Detection. - Xin Zhang 054; Zhengyuan Zhu (CoRR, 2019)

Distributed Linear Model Clustering over Networks: A Tree-Based Fused-Lasso ADMM Approach. - Xin Zhang 054; Jia Liu 002; Zhengyuan Zhu (CoRR, 2019)

Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning. - Xin Zhang 054; Jia Liu 002; Zhengyuan Zhu (CDC, 2020)

Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors. - Xin Zhang 054; Jia Liu 002; Zhengyuan Zhu; Elizabeth S. Bentley (INFOCOM, 2020)

Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach. - Xin Zhang 054; Minghong Fang; Jia Liu 002; Zhengyuan Zhu (MobiHoc, 2020)

Adaptive Multi-Hierarchical signSGD for Communication-Efficient Distributed Optimization. - Haibo Yang 001; Xin Zhang 054; Minghong Fang; Jia Liu 002 (SPAWC, 2020)

Low Sample and Communication Complexities in Decentralized Learning: A Triple Hybrid Approach. - Xin Zhang 054; Jia Liu 002; Zhengyuan Zhu; Elizabeth Serena Bentley (INFOCOM, 2021)

GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning. - Xin Zhang 054; Jia Liu 002; Zhengyuan Zhu; Elizabeth Serena Bentley (MobiHoc, 2021)

Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning. - Xin Zhang 054; Zhuqing Liu; Jia Liu 002; Zhengyuan Zhu; Songtao Lu (NeurIPS, 2021)

Anarchic Federated Learning. - Haibo Yang 001; Xin Zhang 054; Prashant Khanduri; Jia Liu 002 (ICML, 2022)

INTERACT: achieving low sample and communication complexities in decentralized bilevel learning over networks. - Zhuqing Liu; Xin Zhang 054; Prashant Khanduri; Songtao Lu; Jia Liu 002 (MobiHoc, 2022)

SYNTHESIS: a semi-asynchronous path-integrated stochastic gradient method for distributed learning in computing clusters. - Zhuqing Liu; Xin Zhang 054; Jia Liu 002 (MobiHoc, 2022)

NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data. - Xin Zhang 054; Minghong Fang; Zhuqing Liu; Haibo Yang 001; Jia Liu 002; Zhengyuan Zhu (MobiHoc, 2022)

SAGDA: Achieving $ mathcal{O}( epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning. - Haibo Yang 001; Zhuqing Liu; Xin Zhang 054; Jia Liu 002 (NeurIPS, 2022)

SAGDA: Achieving O(ε-2) Communication Complexity in Federated Min-Max Learning. - Haibo Yang 001; Zhuqing Liu; Xin Zhang 054; Jia Liu 002 (CoRR, 2022)

Fast and Robust Sparsity Learning Over Networks: A Decentralized Surrogate Median Regression Approach. - Weidong Liu 005; Xiaojun Mao; Xin Zhang 054 (IEEE Trans. Signal Process., 2022)

Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning. - Zhuqing Liu; Xin Zhang 054; Prashant Khanduri; Songtao Lu; Jia Liu 002 (ICML, 2023)

PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities. - Zhuqing Liu; Xin Zhang 054; Songtao Lu; Jia Liu 002 (MobiHoc, 2023)

SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss Landscape. - Hua Zheng; Kuang-Hung Liu; Igor Fedorov; Xin Zhang 054; Wen-Yen Chen; Wei Wen (CoRR, 2023)

Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data. - Xin Wang 042; Xin Zhang 054; Zhengyuan Zhu (Technometrics, 2023)

PILOT: An $ mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation. - Zhuqing Liu; Xin Zhang 054; Jia Liu 002; Zhengyuan Zhu; Songtao Lu (ICLR, 2024)

SiGeo: Sub-One-Shot NAS via Geometry of Loss Landscape. - Hua Zheng; Kuang-Hung Liu; Igor Fedorov; Xin Zhang 054; Wen-Yen Chen; Wei Wen (KDD, 2024)

Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. - Wei Wen; Kuang-Hung Liu; Igor Fedorov; Xin Zhang 054; Hang Yin 005; Weiwei Chu; Kaveh Hassani; Mengying Sun; Jiang Liu 011; Xu Wang; Lin Jiang; Yuxin Chen 001; et al. (WWW (Companion Volume), 2024)

Efficient Sparse Least Absolute Deviation Regression With Differential Privacy. - Weidong Liu 005; Xiaojun Mao; Xiaofei Zhang; Xin Zhang 054 (IEEE Trans. Inf. Forensics Secur., 2024)

Simultaneously detecting spatiotemporal changes with penalized Poisson regression models. - Zerui Zhang; Xin Wang 042; Xin Zhang 054; Jing Zhang (Comput. Stat. Data Anal., 2025)

Personalized Interpolation: An Efficient Method to Tame Flexible Optimization Window Estimation. - Xin Zhang 054; Weiliang Li; Rui Li; Zihang Fu; Tongyi Tang; Zhengyu Zhang; Wen-Yen Chen; Nima Noorshams; Nirav Jasapara; Xiaowen Ding; Ellie Wen; Xue Feng (CoRR, 2025)

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. - Mingfu Liang; Xi Liu; Rong Jin 001; Boyang Liu; Qiuling Suo; Qinghai Zhou; Song Zhou; Laming Chen; Hua Zheng; Zhiyuan Li; Shali Jiang 003; Jiyan Yang; et al. (CoRR, 2025)