Xin Zhang - RankMe

60 papers A* 14A 1B 6Journal 35Unranked 4

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
2026	J	`jnl`	TeleWorld: Towards Dynamic Multimodal Synthesis with a 4D World Model. CoRR Yabo Chen, Yuanzhi Liang, Jiepeng Wang, Tingxi Chen, Junfei Cheng, Zixiao Gu, Yuyang Huang, Zicheng Jiang, Wei Li, Tian Li, Weichen Li, Zuoxin Li, Guangce Liu, Jialun Liu, Junqi Liu, Haoyuan Wang, Qizhen Weng, Xuan'er Wu, Xunzhi Xiang, Xiaoyan Yang, Xin Zhang, Shiwen Zhang, Junyu Zhou, Chengcheng Zhou, Haibin Huang, Chi Zhang, Xuelong Li
2025	J	`jnl`	Beyond Aggregation: Guiding Clients in Heterogeneous Federated Learning. CoRR Zijian Wang, Xiaofei Zhang, Xin Zhang, Yukun Liu, Qiong Zhang
2025	J	`jnl`	External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. CoRR Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo, Qinghai Zhou, Song Zhou, Laming Chen, Hua Zheng, Zhiyuan Li, Shali Jiang, Jiyan Yang, Xiaozhen Xia, Fan Yang, Yasmine Badr, Ellie Wen, Shuyu Xu, Hansey Chen, Zhengyu Zhang, Jade Nie, Chunzhi Yang, Zhichen Zeng, Weilin Zhang, Xingliang Huang, Qianru Li, Shiquan Wang, Evelyn Lyu, Wenjing Lu, Rui Zhang, Wenjun Wang, Jason Rudy, Mengyue Hang, Kai Wang, Yinbin Ma, Shuaiwen Wang, Sihan Zeng, Tongyi Tang, Xiaohan Wei, Longhao Jin, Jamey Zhang, Marcus Chen, Jiayi Zhang, Angie Huang, Chi Zhang, Zhengli Zhao, Jared Yang, Qiang Jin, Xian Chen, Amit Anand Amlesahwaram, Lexi Song, Liang Luo, Yuchen Hao, Nan Xiao, Yavuz Yetim, Luoshang Pan, Gaoxiang Liu, Yuxi Hu, Yuzhen Huang, Jackie Xu, Rich Zhu, Xin Zhang, Yiqun Liu, Hang Yin, Yuxin Chen, Buyun Zhang, Xiaoyi Liu, Xingyuan Wang, Wenguang Mao, Zhijing Li, Qin Huang, Chonglin Sun, Shupin Mao, Benjamin Au, Jingzheng Qin, Peggy Yao, Jae-Woo Choi, Bin Gao, Ernest Wang, Lei Zhang, Wen-Yen Chen, Ted Lee, Jay Zha, Yi Meng, Alex Gong, Edison Gao, Alireza Vahdatpour, Yiping Han, Yantao Yao, Toshinari Kureha, Shuo Chang, Musharaf Sultan, John Bocharov, Sagar Chordia, Xiaorui Gan, Peng Sun, Rocky Liu, Bo Long, Wenlin Chen, Santanu Kolay, Huayu Li
2025	A	`conf`	InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CIKM Zhichen Zeng, Xiaolong Liu, Mengyue Hang, Xiaoyi Liu, Qinghai Zhou, Chaofei Yang, Yiqun Liu, Yichen Ruan, Laming Chen, Yuxin Chen, Yujia Hao, Jiaqi Xu, Jade Nie, Xi Liu, Buyun Zhang, Wei Wen, Siyang Yuan, Hang Yin, Xin Zhang, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang
2025	J	`jnl`	Multi-Objective Bilevel Learning. CoRR Zhiyao Zhang, Zhuqing Liu, Xin Zhang, Wen-Yen Chen, Jiyan Yang, Jia Liu
2025	J	`jnl`	Personalized Interpolation: An Efficient Method to Tame Flexible Optimization Window Estimation. CoRR Xin Zhang, Weiliang Li, Rui Li, Zihang Fu, Tongyi Tang, Zhengyu Zhang, Wen-Yen Chen, Nima Noorshams, Nirav Jasapara, Xiaowen Ding, Ellie Wen, Xue Feng
2025	J	`jnl`	Simultaneously detecting spatiotemporal changes with penalized Poisson regression models. Comput. Stat. Data Anal. Zerui Zhang, Xin Wang, Xin Zhang, Jing Zhang
2025	J	`jnl`	Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso. J. Comput. Graph. Stat. Xin Zhang, Shan Yu, Zhengyuan Zhu, Xin Wang
2025	J	`jnl`	Two-dimensional Sparse Parallelism for Large Scale Deep Learning Recommendation Model Training. CoRR Xin Zhang, Quanyu Zhu, Liangbei Xu, Zain Huda, Wang Zhou, Jin Fang, Dennis van der Staay, Yuxi Hu, Jade Nie, Jiyan Yang, Chunzhi Yang
2024	J	`jnl`	Efficient Sparse Least Absolute Deviation Regression With Differential Privacy. IEEE Trans. Inf. Forensics Secur. Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang
2024	J	`jnl`	Efficient Sparse Least Absolute Deviation Regression with Differential Privacy. CoRR Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang
2024	A*	`conf`	Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning. NeurIPS Minghui Chen, Meirui Jiang, Xin Zhang, Qi Dou, Zehua Wang, Xiaoxiao Li
2024	J	`jnl`	Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning. CoRR Minghui Chen, Meirui Jiang, Xin Zhang, Qi Dou, Zehua Wang, Xiaoxiao Li
2024	J	`jnl`	Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors. CoRR Chun-Yin Huang, Kartik Srinivas, Xin Zhang, Xiaoxiao Li
2024	A*	`conf`	Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors. ICML Chun-Yin Huang, Kartik Srinivas, Xin Zhang, Xiaoxiao Li
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	—	`conf`	Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. WWW (Companion Volume) Wei Wen, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani, Mengying Sun, Jiang Liu, Xu Wang, Lin Jiang, Yuxin Chen, Buyun Zhang, Xi Liu, Dehua Cheng, Zhengxing Chen, Guang Zhao, Fangqiu Han, Jiyan Yang, Yuchen Hao, Liang Xiong, Wen-Yen Chen
2024	A*	`conf`	ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift. ICLR Hwanwoo Kim, Xin Zhang, Jiwei Zhao, Qinglong Tian
2024	J	`jnl`	ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift. CoRR Hwanwoo Kim, Xin Zhang, Jiwei Zhao, Qinglong Tian
2024	A*	`conf`	SiGeo: Sub-One-Shot NAS via Geometry of Loss Landscape. KDD Hua Zheng, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Wen-Yen Chen, Wei Wen
2023	J	`jnl`	Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data. Technometrics Xin Wang, Xin Zhang, Zhengyuan Zhu
2023	A*	`conf`	ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models. ICML Qinglong Tian, Xin Zhang, Jiwei Zhao
2023	J	`jnl`	ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models. CoRR Qinglong Tian, Xin Zhang, Jiwei Zhao
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
2023	J	`jnl`	Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. CoRR Wei Wen, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani, Mengying Sun, Jiang Liu, Xu Wang, Lin Jiang, Yuxin Chen, Buyun Zhang, Xi Liu, Dehua Cheng, Zhengxing Chen, Guang Zhao, Fangqiu Han, Jiyan Yang, Yuchen Hao, Liang Xiong, Wen-Yen Chen
2023	J	`jnl`	SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss Landscape. CoRR Hua Zheng, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Wen-Yen Chen, Wei Wen
2022	A*	`conf`	Anarchic Federated Learning. ICML Haibo Yang, Xin Zhang, Prashant Khanduri, Jia Liu
2022	J	`jnl`	Fast and Robust Sparsity Learning Over Networks: A Decentralized Surrogate Median Regression Approach. IEEE Trans. Signal Process. Weidong Liu, Xiaojun Mao, Xin Zhang
2022	J	`jnl`	Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach. CoRR Weidong Liu, Xiaojun Mao, Xin Zhang
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	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	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
2021	J	`jnl`	Anarchic Federated Learning. CoRR Haibo Yang, Xin Zhang, Prashant Khanduri, Jia Liu
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`	Low Sample and Communication Complexities in Decentralized Learning: A Triple Hybrid Approach. INFOCOM Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth Serena Bentley
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
2020	—	`conf`	Adaptive Multi-Hierarchical signSGD for Communication-Efficient Distributed Optimization. SPAWC Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
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`	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	—	`conf`	Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning. CDC Xin Zhang, Jia Liu, Zhengyuan Zhu
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	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	J	`jnl`	Spatial CUSUM for Signal Region Detection. CoRR Xin Zhang, Zhengyuan Zhu
2018	J	`jnl`	Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks. CoRR Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
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	J	`jnl`	Drug-target interaction prediction by integrating multiview network data. Comput. Biol. Chem. Xin Zhang, Limin Li, Michael K. Ng, Shuqin Zhang
2013	J	`jnl`	Fast Approximate Matching Algorithm for Phone-based Keyword Spotting. J. Networks Xin Zhang, Meng Cai, Jia Liu