Xin Jin - RankMe

161 papers A* 41A 13Misc 13Journal 71Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ARL-Tangram: Unleash the Resource Efficiency in Agentic Reinforcement Learning. CoRR Bangjun Xiao, Yihao Zhao, Xiangwei Deng, Shihua Yu, Yuxing Xiang, Huaqiu Liu, Qiying Wang, Liang Zhao, Hailin Zhang, Xuanzhe Liu, Xin Jin, Fuli Luo
2026	J	`jnl`	Epiphron: Resource-Efficient Distributed Key-Value Storage. IEEE Trans. Knowl. Data Eng. Ruidong Zhu, Zili Zhang, Bingyang Wu, Xin Yao, Renhai Chen, Gong Zhang, Xuanzhe Liu, Xin Jin
2026	J	`jnl`	Heddle: A Distributed Orchestration System for Agentic RL Rollout. CoRR Zili Zhang, Yinmin Zhong, Chengxu Yang, Chao Jin, Bingyang Wu, Xinming Wei, Yuliang Liu, Xin Jin
2026	J	`jnl`	KUBEDIRECT: Unleashing the Full Power of the Cluster Manager for Serverless Computing. CoRR Sheng Qi, Zhiquan Zhang, Xuanzhe Liu, Xin Jin
2026	A	`conf`	MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production. EuroSys Chao Jin, Ziheng Jiang, Zhihao Bai, Zheng Zhong, Juncai Liu, Xiang Li, Ningxin Zheng, Xi Wang, Cong Xie, Qi Huang, Wen Heng, Yiyuan Ma, Wenlei Bao, Size Zheng, Xuegui Zheng, Yanghua Peng, Haibin Lin, Xuanzhe Liu, Xin Jin, Xin Liu
2026	J	`jnl`	RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation. ACM Trans. Comput. Syst. Chao Jin, Zili Zhang, Xuanlin Jiang, Fangyue Liu, Shufan Liu, Xuanzhe Liu, Xin Jin
2026	A	`conf`	Serverless Replication of Object Storage across Multi-Vendor Clouds and Regions. EuroSys Junyi Shu, Xiaolong Huang, Gang Huang, Hong Mei, Xuanzhe Liu, Xin Jin
2025	A*	`conf`	Aegaeon: Effective GPU Pooling for Concurrent LLM Serving on the Market. SOSP Yuxing Xiang, Xue Li, Kun Qian, Yufan Yang, Diwen Zhu, Wenyuan Yu, Ennan Zhai, Xuanzhe Liu, Xin Jin, Jingren Zhou
2025	J	`jnl`	Cannikin: No Lagger of SLO in Concurrent Multiple LoRA LLM Serving. IEEE Trans. Parallel Distributed Syst. Ruidong Zhu, Ziyue Jiang, Zhi Zhang, Xin Liu, Xuanzhe Liu, Xin Jin
2025	—	`conf`	CloudChurn: Optimizing Enterprise Customer Churn Prediction in Cloud Services for Huawei Cloud. DASFAA (6) Hengyu Ye, YuLong Song, Zhipeng Bian, Xiaofeng Gao, Guihai Chen, Xin Jin, Zhenli Sheng
2025	A*	`conf`	DistTrain: Addressing Model and Data Heterogeneity with Disaggregated Training for Multimodal Large Language Models. SIGCOMM Zili Zhang, Yinmin Zhong, Yimin Jiang, Hanpeng Hu, Jianjian Sun, Zheng Ge, Yibo Zhu, Daxin Jiang, Xin Jin
2025	J	`jnl`	EdgeLLM: Fast On-Device LLM Inference With Speculative Decoding. IEEE Trans. Mob. Comput. Daliang Xu, Wangsong Yin, Hao Zhang, Xin Jin, Ying Zhang, Shiyun Wei, Mengwei Xu, Xuanzhe Liu
2025	J	`jnl`	Efficient Far Memory-Aware Scheduling With FaMAS. IEEE Trans. Netw. Chiheng Lou, Xin Jin
2025	J	`jnl`	Efficient Fault Tolerance for Stateful Serverless Computing with Asymmetric Logging. ACM Trans. Comput. Syst. Sheng Qi, Haoyu Feng, Xuanzhe Liu, Xin Jin
2025	J	`jnl`	FaaSPR: Latency-Oriented Placement and Routing Optimization for Serverless Workflow Processing. IEEE Trans. Netw. Yunshan Jia, Chao Jin, Qing Li, Xuanzhe Liu, Xin Jin
2025	A*	`conf`	Fornax: A Hardware-Centric Session Management in Large Public Cloud Network. SIGCOMM Heng Yu, Jian Wang, Jian Zhao, Kai Ren, Guozhi Lin, Baozeng Zhang, Yunpeng Guan, Xin Li, Hao Yin, Jiajun Liang, Liang Wang, Chao Pei, Yachen Wang, Xin Jin, Jilong Wang, Congcong Miao
2025	J	`jnl`	GreenFlow: A Carbon-Efficient Scheduler for Deep Learning Workloads. IEEE Trans. Parallel Distributed Syst. Diandian Gu, Yihao Zhao, Peng Sun, Xin Jin, Xuanzhe Liu
2025	A*	`conf`	MegaScale-Infer: Efficient Mixture-of-Experts Model Serving with Disaggregated Expert Parallelism. SIGCOMM Ruidong Zhu, Ziheng Jiang, Chao Jin, Peng Wu, Cesar A. Stuardo, Dongyang Wang, Xinlei Zhang, Huaping Zhou, Haoran Wei, Yang Cheng, Jianzhe Xiao, Xinyi Zhang, Lingjun Liu, Haibin Lin, Li-Wen Chang, Jianxi Ye, Xiao Yu, Xuanzhe Liu, Xin Jin, Xin Liu
2025	J	`jnl`	MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert Parallelism. CoRR Ruidong Zhu, Ziheng Jiang, Chao Jin, Peng Wu, Cesar A. Stuardo, Dongyang Wang, Xinlei Zhang, Huaping Zhou, Haoran Wei, Yang Cheng, Jianzhe Xiao, Xinyi Zhang, Lingjun Liu, Haibin Lin, Li-Wen Chang, Jianxi Ye, Xiao Yu, Xuanzhe Liu, Xin Jin, Xin Liu
2025	J	`jnl`	MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production. CoRR Chao Jin, Ziheng Jiang, Zhihao Bai, Zheng Zhong, Juncai Liu, Xiang Li, Ningxin Zheng, Xi Wang, Cong Xie, Qi Huang, Wen Heng, Yiyuan Ma, Wenlei Bao, Size Zheng, Yanghua Peng, Haibin Lin, Xuanzhe Liu, Xin Jin, Xin Liu
2025	Misc	`conf`	MeshTest: End-to-End Testing for Service Mesh Traffic Management. NSDI Naiqian Zheng, Tianshuo Qiao, Xuanzhe Liu, Xin Jin
2025	J	`jnl`	Niagara+: Scheduling Live ML Analytics Across Heterogeneous Device Processors and Edge Servers. IEEE Trans. Serv. Comput. Daliang Xu, Qing Li, Mengwei Xu, Kang Huang, Gang Huang, Shangguang Wang, Qun Wei, Xin Jin, Yun Ma, Xuanzhe Liu
2025	A*	`conf`	OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance. ICML Yongqiang Yao, Jingru Tan, Feizhao Zhang, Jiahao Hu, Yazhe Niu, Xin Jin, Bo Li, Pengfei Liu, Ruihao Gong, Dahua Lin, Ningyi Xu
2025	Misc	`conf`	Optimizing RLHF Training for Large Language Models with Stage Fusion. NSDI Yinmin Zhong, Zili Zhang, Bingyang Wu, Shengyu Liu, Yukun Chen, Changyi Wan, Hanpeng Hu, Lei Xia, Ranchen Ming, Yibo Zhu, Xin Jin
2025	J	`jnl`	Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs. CoRR Abdelrahman Abouelenin, Atabak Ashfaq, Adam Atkinson, Hany Awadalla, Nguyen Bach, Jianmin Bao, Alon Benhaim, Martin Cai, Vishrav Chaudhary, Congcong Chen, Dong Chen, Dongdong Chen, Jun-Kun Chen, Weizhu Chen, Yen-Chun Chen, Yi-ling Chen, Qi Dai, Xiyang Dai, Ruchao Fan, Mei Gao, Min Gao, Amit Garg, Abhishek Goswami, Junheng Hao, Amr Hendy, Yuxuan Hu, Xin Jin, Mahmoud Khademi, Dongwoo Kim, Young Jin Kim, Gina Lee, Jinyu Li, Yunsheng Li, Chen Liang, Xihui Lin, Zeqi Lin, Mengchen Liu, Yang Liu, Gilsinia Lopez, Chong Luo, Piyush Madan, Vadim Mazalov, Arindam Mitra, Ali Mousavi, Anh Nguyen, Jing Pan, Daniel Perez-Becker, Jacob Platin, Thomas Portet, Kai Qiu, Bo Ren, Liliang Ren, Sambuddha Roy, Ning Shang, Yelong Shen, Saksham Singhal, Subhojit Som, Xia Song, Tetyana Sych, Praneetha Vaddamanu, Shuohang Wang, Yiming Wang, Zhenghao Wang, Haibin Wu, Haoran Xu, Weijian Xu, Yifan Yang, Ziyi Yang, Donghan Yu, Ishmam Zabir, Jianwen Zhang, Li Lyna Zhang, Yunan Zhang, Xiren Zhou
2025	J	`jnl`	Resource-efficient Algorithms and Systems of Foundation Models: A Survey. ACM Comput. Surv. Mengwei Xu, Dongqi Cai, Wangsong Yin, Shangguang Wang, Xin Jin, Xuanzhe Liu
2025	J	`jnl`	SeaLLM: Service-Aware and Latency-Optimized Resource Sharing for Large Language Model Inference. CoRR Yihao Zhao, Jiadun Chen, Peng Sun, Lei Li, Xuanzhe Liu, Xin Jin
2025	J	`jnl`	ServeGen: Workload Characterization and Generation of Large Language Model Serving in Production. CoRR Yuxing Xiang, Xue Li, Kun Qian, Wenyuan Yu, Ennan Zhai, Xin Jin
2025	J	`jnl`	TokenLake: A Unified Segment-level Prefix Cache Pool for Fine-grained Elastic Long-Context LLM Serving. CoRR Bingyang Wu, Zili Zhang, Yinmin Zhong, Guanzhe Huang, Yibo Zhu, Xuanzhe Liu, Xin Jin
2025	J	`jnl`	Towards Swift Serverless LLM Cold Starts with ParaServe. CoRR Chiheng Lou, Sheng Qi, Chao Jin, Dapeng Nie, Haoran Yang, Xuanzhe Liu, Xin Jin
2025	J	`jnl`	WarmServe: Enabling One-for-Many GPU Prewarming for Multi-LLM Serving. CoRR Chiheng Lou, Sheng Qi, Rui Kang, Yong Zhang, Chen Sun, Pengcheng Wang, Bingyang Liu, Xuanzhe Liu, Xin Jin
2024	J	`jnl`	A Survey of Resource-efficient LLM and Multimodal Foundation Models. CoRR Mengwei Xu, Wangsong Yin, Dongqi Cai, Rongjie Yi, Daliang Xu, Qipeng Wang, Bingyang Wu, Yihao Zhao, Chen Yang, Shihe Wang, Qiyang Zhang, Zhenyan Lu, Li Zhang, Shangguang Wang, Yuanchun Li, Yunxin Liu, Xin Jin, Xuanzhe Liu
2024	J	`jnl`	Aquifer: Transparent Microsecond-Scale Scheduling for vRAN Workloads. IEEE Trans. Serv. Comput. Yunshan Jia, Yinmin Zhong, Meng Wang, Jiaqi Gao, Pengyu Zhang, Xuanzhe Liu, Xin Jin
2024	A*	`conf`	Burstable Cloud Block Storage with Data Processing Units. OSDI Junyi Shu, Kun Qian, Ennan Zhai, Xuanzhe Liu, Xin Jin
2024	J	`jnl`	DistMind: Efficient Resource Disaggregation for Deep Learning Workloads. IEEE/ACM Trans. Netw. Xin Jin, Zhihao Bai, Zhen Zhang, Yibo Zhu, Yinmin Zhong, Xuanzhe Liu
2024	A*	`conf`	DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving. OSDI Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu, Yibo Zhu, Xuanzhe Liu, Xin Jin, Hao Zhang
2024	J	`jnl`	DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving. CoRR Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu, Yibo Zhu, Xuanzhe Liu, Xin Jin, Hao Zhang
2024	J	`jnl`	DistTrain: Addressing Model and Data Heterogeneity with Disaggregated Training for Multimodal Large Language Models. CoRR Zili Zhang, Yinmin Zhong, Ranchen Ming, Hanpeng Hu, Jianjian Sun, Zheng Ge, Yibo Zhu, Xin Jin
2024	J	`jnl`	Efficient Training of Large Language Models on Distributed Infrastructures: A Survey. CoRR Jiangfei Duan, Shuo Zhang, Zerui Wang, Lijuan Jiang, Wenwen Qu, Qinghao Hu, Guoteng Wang, Qizhen Weng, Hang Yan, Xingcheng Zhang, Xipeng Qiu, Dahua Lin, Yonggang Wen, Xin Jin, Tianwei Zhang, Peng Sun
2024	J	`jnl`	Efficient, Scalable, and Sustainable DNN Training on SoC-Clustered Edge Servers. IEEE Trans. Mob. Comput. Mengwei Xu, Daliang Xu, Chiheng Lou, Li Zhang, Gang Huang, Xin Jin, Xuanzhe Liu
2024	J	`jnl`	FLASH: Heterogeneity-Aware Federated Learning at Scale. IEEE Trans. Mob. Comput. Chengxu Yang, Mengwei Xu, Qipeng Wang, Zhenpeng Chen, Kang Huang, Yun Ma, Kaigui Bian, Gang Huang, Yunxin Liu, Xin Jin, Xuanzhe Liu
2024	J	`jnl`	FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion. CoRR Li-Wen Chang, Wenlei Bao, Qi Hou, Chengquan Jiang, Ningxin Zheng, Yinmin Zhong, Xuanrun Zhang, Zuquan Song, Ziheng Jiang, Haibin Lin, Xin Jin, Xin Liu
2024	Misc	`conf`	Fast Vector Query Processing for Large Datasets Beyond GPU Memory with Reordered Pipelining. NSDI Zili Zhang, Fangyue Liu, Gang Huang, Xuanzhe Liu, Xin Jin
2024	J	`jnl`	InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding. CoRR Qiaoling Chen, Diandian Gu, Guoteng Wang, Xun Chen, Yingtong Xiong, Ting Huang, Qinghao Hu, Xin Jin, Yonggang Wen, Tianwei Zhang, Peng Sun
2024	Misc	`conf`	Jolteon: Unleashing the Promise of Serverless for Serverless Workflows. NSDI Zili Zhang, Chao Jin, Xin Jin
2024	A*	`conf`	LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism. SOSP Bingyang Wu, Shengyu Liu, Yinmin Zhong, Peng Sun, Xuanzhe Liu, Xin Jin
2024	J	`jnl`	LoongServe: Efficiently Serving Long-context Large Language Models with Elastic Sequence Parallelism. CoRR Bingyang Wu, Shengyu Liu, Yinmin Zhong, Peng Sun, Xuanzhe Liu, Xin Jin
2024	J	`jnl`	LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism. CoRR Diandian Gu, Peng Sun, Qinghao Hu, Ting Huang, Xun Chen, Yingtong Xiong, Guoteng Wang, Qiaoling Chen, Shangchun Zhao, Jiarui Fang, Yonggang Wen, Tianwei Zhang, Xin Jin, Xuanzhe Liu
2024	Misc	`conf`	MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. NSDI Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu
2024	J	`jnl`	MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. CoRR Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu
2024	J	`jnl`	MuxFlow: efficient GPU sharing in production-level clusters with more than 10000 GPUs. Sci. China Inf. Sci. Xuanzhe Liu, Yihao Zhao, Shufan Liu, Xiang Li, Yibo Zhu, Xin Liu, Xin Jin
2024	J	`jnl`	OmniBal: Towards Fast Instruct-tuning for Vision-Language Models via Omniverse Computation Balance. CoRR Yongqiang Yao, Jingru Tan, Jiahao Hu, Feizhao Zhang, Xin Jin, Bo Li, Ruihao Gong, Pengfei Liu
2024	J	`jnl`	Pyxis: Scheduling Mixed Tasks in Disaggregated Datacenters. IEEE Trans. Parallel Distributed Syst. Sheng Qi, Chao Jin, Mosharaf Chowdhury, Zhenming Liu, Xuanzhe Liu, Xin Jin
2024	J	`jnl`	RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation. CoRR Chao Jin, Zili Zhang, Xuanlin Jiang, Fangyue Liu, Xin Liu, Xuanzhe Liu, Xin Jin
2024	J	`jnl`	RLHFuse: Efficient RLHF Training for Large Language Models with Inter- and Intra-Stage Fusion. CoRR Yinmin Zhong, Zili Zhang, Bingyang Wu, Shengyu Liu, Yukun Chen, Changyi Wan, Hanpeng Hu, Lei Xia, Ranchen Ming, Yibo Zhu, Xin Jin
2024	J	`jnl`	SDCC: software-defined collective communication for distributed training. Sci. China Inf. Sci. Xin Jin, Zhen Zhang, Yunshan Jia, Yun Ma, Xuanzhe Liu
2024	—	`conf`	SoCFlow: Efficient and Scalable DNN Training on SoC-Clustered Edge Servers. ASPLOS (1) Daliang Xu, Mengwei Xu, Chiheng Lou, Li Zhang, Gang Huang, Xin Jin, Xuanzhe Liu
2024	A	`conf`	Unison: A Parallel-Efficient and User-Transparent Network Simulation Kernel. EuroSys Songyuan Bai, Hao Zheng, Chen Tian, Xiaoliang Wang, Chang Liu, Xin Jin, Fu Xiao, Qiao Xiang, Wanchun Dou, Guihai Chen
2024	A*	`conf`	dLoRA: Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving. OSDI Bingyang Wu, Ruidong Zhu, Zili Zhang, Peng Sun, Xuanzhe Liu, Xin Jin
2023	A*	`conf`	AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. OSDI Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
2023	J	`jnl`	AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. CoRR Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
2023	A*	`conf`	Automated Verification of an In-Production DNS Authoritative Engine. SOSP Naiqian Zheng, Mengqi Liu, Yuxing Xiang, Linjian Song, Dong Li, Feng Han, Nan Wang, Yong Ma, Zhuo Liang, Dennis Cai, Ennan Zhai, Xuanzhe Liu, Xin Jin
2023	—	`conf`	Disaggregated RAID Storage in Modern Datacenters. ASPLOS (3) Junyi Shu, Ruidong Zhu, Yun Ma, Gang Huang, Hong Mei, Xuanzhe Liu, Xin Jin
2023	A*	`conf`	Ditto: Efficient Serverless Analytics with Elastic Parallelism. SIGCOMM Chao Jin, Zili Zhang, Xingyu Xiang, Songyun Zou, Gang Huang, Xuanzhe Liu, Xin Jin
2023	—	`conf`	ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning. ASPLOS (2) Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu
2023	J	`jnl`	Enabling Edge-Cloud Video Analytics for Robotics Applications. IEEE Trans. Cloud Comput. Yiding Wang, Weiyan Wang, Duowen Liu, Xin Jin, Junchen Jiang, Kai Chen
2023	J	`jnl`	Energy-Efficient GPU Clusters Scheduling for Deep Learning. CoRR Diandian Gu, Xintong Xie, Gang Huang, Xin Jin, Xuanzhe Liu
2023	J	`jnl`	Fast Distributed Inference Serving for Large Language Models. CoRR Bingyang Wu, Yinmin Zhong, Zili Zhang, Gang Huang, Xuanzhe Liu, Xin Jin
2023	Misc	`conf`	Fast, Approximate Vector Queries on Very Large Unstructured Datasets. NSDI Zili Zhang, Chao Jin, Linpeng Tang, Xuanzhe Liu, Xin Jin
2023	A*	`conf`	Halfmoon: Log-Optimal Fault-Tolerant Stateful Serverless Computing. SOSP Sheng Qi, Xuanzhe Liu, Xin Jin
2023	A*	`conf`	Klotski: Efficient and Safe Network Migration of Large Production Datacenters. SIGCOMM Yihao Zhao, Xiaoxiang Zhang, Hang Zhu, Ying Zhang, Zhaodong Wang, Yuandong Tian, Alex Nikulkov, Joao Ferreira, Xuanzhe Liu, Xin Jin
2023	J	`jnl`	LLMCad: Fast and Scalable On-device Large Language Model Inference. CoRR Daliang Xu, Wangsong Yin, Xin Jin, Ying Zhang, Shiyun Wei, Mengwei Xu, Xuanzhe Liu
2023	J	`jnl`	MuxFlow: Efficient and Safe GPU Sharing in Large-Scale Production Deep Learning Clusters. CoRR Yihao Zhao, Xin Liu, Shufan Liu, Xiang Li, Yibo Zhu, Gang Huang, Xuanzhe Liu, Xin Jin
2023	—	`conf`	Niagara: Scheduling DNN Inference Services on Heterogeneous Edge Processors. ICSOC (1) Daliang Xu, Qing Li, Mengwei Xu, Kang Huang, Gang Huang, Shangguang Wang, Xin Jin, Yun Ma, Xuanzhe Liu
2023	A*	`conf`	Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates. SOSP Insu Jang, Zhenning Yang, Zhen Zhang, Xin Jin, Mosharaf Chowdhury
2023	J	`jnl`	Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates. CoRR Insu Jang, Zhenning Yang, Zhen Zhang, Xin Jin, Mosharaf Chowdhury
2023	J	`jnl`	Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective. ACM Trans. Softw. Eng. Methodol. Xuanzhe Liu, Diandian Gu, Zhenpeng Chen, Jinfeng Wen, Zili Zhang, Yun Ma, Haoyu Wang, Xin Jin
2023	J	`jnl`	Rise of the Planet of Serverless Computing: A Systematic Review. ACM Trans. Softw. Eng. Methodol. Jinfeng Wen, Zhenpeng Chen, Xin Jin, Xuanzhe Liu
2023	J	`jnl`	Scalable and Efficient Full-Graph GNN Training for Large Graphs. Proc. ACM Manag. Data Xinchen Wan, Kaiqiang Xu, Xudong Liao, Yilun Jin, Kai Chen, Xin Jin
2023	Misc	`conf`	Transparent GPU Sharing in Container Clouds for Deep Learning Workloads. NSDI Bingyang Wu, Zili Zhang, Zhihao Bai, Xuanzhe Liu, Xin Jin
2023	A*	`conf`	Understanding the Micro-Behaviors of Hardware Offloaded Network Stacks with Lumina. SIGCOMM Zhuolong Yu, Bowen Su, Wei Bai, Shachar Raindel, Vladimir Braverman, Xin Jin
2023	A*	`conf`	XRON: A Hybrid Elastic Cloud Overlay Network for Video Conferencing at Planetary Scale. SIGCOMM Bingyang Wu, Kun Qian, Bo Li, Yunfei Ma, Qi Zhang, Zhigang Jiang, Jiayu Zhao, Dennis Cai, Ennan Zhai, Xuanzhe Liu, Xin Jin
2022	J	`jnl`	LambdaLite: Application-Level Optimization for Cold Start Latency in Serverless Computing. CoRR Jinfeng Wen, Zhenpeng Chen, Ding Li, Junkai Chen, Yi Liu, Haoyu Wang, Xin Jin, Xuanzhe Liu
2022	J	`jnl`	Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading. CoRR Daliang Xu, Mengwei Xu, Qipeng Wang, Shangguang Wang, Yun Ma, Kang Huang, Guang Huang, Xin Jin, Xuanzhe Liu
2022	A*	`conf`	Mandheling: mixed-precision on-device DNN training with DSP offloading. MobiCom Daliang Xu, Mengwei Xu, Qipeng Wang, Shangguang Wang, Yun Ma, Kang Huang, Gang Huang, Xin Jin, Xuanzhe Liu
2022	A*	`conf`	Meissa: scalable network testing for programmable data planes. SIGCOMM Naiqian Zheng, Mengqi Liu, Ennan Zhai, Hongqiang Harry Liu, Yifan Li, Kaicheng Yang, Xuanzhe Liu, Xin Jin
2022	A	`conf`	Melon: breaking the memory wall for resource-efficient on-device machine learning. MobiSys Qipeng Wang, Mengwei Xu, Chao Jin, Xinran Dong, Jinliang Yuan, Xin Jin, Gang Huang, Yunxin Liu, Xuanzhe Liu
2022	J	`jnl`	MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. CoRR Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin
2022	J	`jnl`	MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. Proc. VLDB Endow. Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin
2022	A	`conf`	Multi-objective congestion control. EuroSys Yiqing Ma, Han Tian, Xudong Liao, Junxue Zhang, Weiyan Wang, Kai Chen, Xin Jin
2022	A*	`conf`	Multi-resource interleaving for deep learning training. SIGCOMM Yihao Zhao, Yuanqiang Liu, Yanghua Peng, Yibo Zhu, Xuanzhe Liu, Xin Jin
2022	Misc	`conf`	NetVRM: Virtual Register Memory for Programmable Networks. NSDI Hang Zhu, Tao Wang, Yi Hong, Dan R. K. Ports, Anirudh Sivaraman, Xin Jin
2022	—	`conf`	Optimizing half precision Winograd convolution on ARM many-core processors. APSys Dedong Xie, Zhen Jia, Zili Zhang, Xin Jin
2022	J	`jnl`	Orloj: Predictably Serving Unpredictable DNNs. CoRR Peifeng Yu, Yuqing Qiu, Xin Jin, Mosharaf Chowdhury
2021	—	`conf`	An empirical study on challenges of application development in serverless computing. ESEC/SIGSOFT FSE Jinfeng Wen, Zhenpeng Chen, Yi Liu, Yiling Lou, Yun Ma, Gang Huang, Xin Jin, Xuanzhe Liu
2021	—	`conf`	Cost-effective data analytics across multiple cloud regions. SIGCOMM Posters and Demos Junyi Shu, Xin Jin, Yun Ma, Xuanzhe Liu, Gang Huang
2021	J	`jnl`	Demystifying Developers' Issues in Distributed Training of Deep Learning Software. CoRR Diandian Gu, Zhenpeng Chen, Yuanqiang Liu, Zili Zhang, Yun Ma, Xin Jin, Xuanzhe Liu
2021	A*	`conf`	Enabling Edge-Cloud Video Analytics for Robotics Applications. INFOCOM Yiding Wang, Weiyan Wang, Duowen Liu, Xin Jin, Junchen Jiang, Kai Chen
2021	A*	`conf`	FAST: FPGA-based Subgraph Matching on Massive Graphs. ICDE Xin Jin, Zhengyi Yang, Xuemin Lin, Shiyu Yang, Lu Qin, You Peng
2021	J	`jnl`	FAST: FPGA-based Subgraph Matching on Massive Graphs. CoRR Xin Jin, Zhengyi Yang, Xuemin Lin, Shiyu Yang, Lu Qin, You Peng
2021	A*	`conf`	Jaqen: A High-Performance Switch-Native Approach for Detecting and Mitigating Volumetric DDoS Attacks with Programmable Switches. USENIX Security Symposium Zaoxing Liu, Hun Namkung, Georgios Nikolaidis, Jeongkeun Lee, Changhoon Kim, Xin Jin, Vladimir Braverman, Minlan Yu, Vyas Sekar
2021	J	`jnl`	Multi-Objective Congestion Control. CoRR Yiqing Ma, Han Tian, Xudong Liao, Junxue Zhang, Weiyan Wang, Kai Chen, Xin Jin
2021	A*	`conf`	Network planning with deep reinforcement learning. SIGCOMM Hang Zhu, Varun Gupta, Satyajeet Singh Ahuja, Yuandong Tian, Ying Zhang, Xin Jin
2021	A*	`conf`	Programmable packet scheduling with a single queue. SIGCOMM Zhuolong Yu, Chuheng Hu, Jingfeng Wu, Xiao Sun, Vladimir Braverman, Mosharaf Chowdhury, Zhenhua Liu, Xin Jin
2021	A*	`conf`	Runtime Recovery of Web Applications under Zero-Day ReDoS Attacks. SP Zhihao Bai, Ke Wang, Hang Zhu, Yinzhi Cao, Xin Jin
2021	Misc	`conf`	Ship Compute or Ship Data? Why Not Both? NSDI Jie You, Jingfeng Wu, Xin Jin, Mosharaf Chowdhury
2021	Misc	`conf`	Twenty Years After: Hierarchical Core-Stateless Fair Queueing. NSDI Zhuolong Yu, Jingfeng Wu, Vladimir Braverman, Ion Stoica, Xin Jin
2020	—	`conf`	Concerto: cooperative network-wide telemetry with controllable error rate. APSys Yiran Li, Kevin Gao, Xin Jin, Wei Xu
2020	—	`conf`	Is Network the Bottleneck of Distributed Training? NetAI@SIGCOMM Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin
2020	J	`jnl`	Is Network the Bottleneck of Distributed Training? CoRR Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin
2020	—	`conf`	Multitenancy for Fast and Programmable Networks in the Cloud. HotCloud Tao Wang, Hang Zhu, Fabian Ruffy, Xin Jin, Anirudh Sivaraman, Dan R. K. Ports, Aurojit Panda
2020	A*	`conf`	NetLock: Fast, Centralized Lock Management Using Programmable Switches. SIGCOMM Zhuolong Yu, Yiwen Zhang, Vladimir Braverman, Mosharaf Chowdhury, Xin Jin
2020	A*	`conf`	On Efficient Constructions of Checkpoints. ICML Yu Chen, Zhenming Liu, Bin Ren, Xin Jin
2020	J	`jnl`	On Efficient Constructions of Checkpoints. CoRR Yu Chen, Zhenming Liu, Bin Ren, Xin Jin
2020	A*	`conf`	Pegasus: Tolerating Skewed Workloads in Distributed Storage with In-Network Coherence Directories. OSDI Jialin Li, Jacob Nelson, Ellis Michael, Xin Jin, Dan R. K. Ports
2020	A*	`conf`	PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications. OSDI Zhihao Bai, Zhen Zhang, Yibo Zhu, Xin Jin
2020	—	`ed.`	Proceedings of the 2020 Workshop on Network Meets AI & ML, NetAI@SIGCOMM, Virtual Event, USA, August 14, 2020 NetAI@SIGCOMM Behnaz Arzani, Xin Jin
2020	J	`jnl`	RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers (Technical Report). CoRR Hang Zhu, Kostis Kaffes, Zixu Chen, Zhenming Liu, Christos Kozyrakis, Ion Stoica, Xin Jin
2020	A*	`conf`	RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers. OSDI Hang Zhu, Kostis Kaffes, Zixu Chen, Zhenming Liu, Christos Kozyrakis, Ion Stoica, Xin Jin
2019	J	`jnl`	A Survey and Experimental Analysis of Distributed Subgraph Matching. CoRR Longbin Lai, Zhu Qing, Zhengyi Yang, Xin Jin, Zhengmin Lai, Ran Wang, Kongzhang Hao, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Zhengping Qian, Jingren Zhou
2019	A	`conf`	DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching. FAST Zaoxing Liu, Zhihao Bai, Zhenming Liu, Xiaozhou Li, Changhoon Kim, Vladimir Braverman, Xin Jin, Ion Stoica
2019	—	`conf`	DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching. USENIX ATC Zaoxing Liu, Zhihao Bai, Zhenming Liu, Xiaozhou Li, Changhoon Kim, Vladimir Braverman, Xin Jin, Ion Stoica
2019	J	`jnl`	DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching. CoRR Zaoxing Liu, Zhihao Bai, Zhenming Liu, Xiaozhou Li, Changhoon Kim, Vladimir Braverman, Xin Jin, Ion Stoica
2019	J	`jnl`	Distributed Subgraph Matching on Timely Dataflow. Proc. VLDB Endow. Longbin Lai, Zhu Qing, Zhengyi Yang, Xin Jin, Zhengmin Lai, Ran Wang, Kongzhang Hao, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Zhengping Qian, Jingren Zhou
2019	J	`jnl`	Flash: Efficient Dynamic Routing for Offchain Networks. CoRR Peng Wang, Hong Xu, Xin Jin, Tao Wang
2019	A	`conf`	Flash: efficient dynamic routing for offchain networks. CoNEXT Peng Wang, Hong Xu, Xin Jin, Tao Wang
2019	J	`jnl`	Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection. CoRR Hang Zhu, Zhihao Bai, Jialin Li, Ellis Michael, Dan R. K. Ports, Ion Stoica, Xin Jin
2019	J	`jnl`	Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection. Proc. VLDB Endow. Hang Zhu, Zhihao Bai, Jialin Li, Ellis Michael, Dan R. K. Ports, Ion Stoica, Xin Jin
2019	J	`jnl`	Neural Packet Classification. CoRR Eric Liang, Hang Zhu, Xin Jin, Ion Stoica
2019	A*	`conf`	Neural packet classification. SIGCOMM Eric Liang, Hang Zhu, Xin Jin, Ion Stoica
2019	A	`conf`	PatMat: A Distributed Pattern Matching Engine with Cypher. CIKM Kongzhang Hao, Zhengyi Yang, Longbin Lai, Zhengmin Lai, Xin Jin, Xuemin Lin
2019	A	`conf`	QPipe: quantiles sketch fully in the data plane. CoNEXT Nikita Ivkin, Zhuolong Yu, Vladimir Braverman, Xin Jin
2018	A*	`conf`	ASAP: Fast, Approximate Graph Pattern Mining at Scale. OSDI Anand Padmanabha Iyer, Zaoxing Liu, Xin Jin, Shivaram Venkataraman, Vladimir Braverman, Ion Stoica
2018	A*	`conf`	AWStream: adaptive wide-area streaming analytics. SIGCOMM Ben Zhang, Xin Jin, Sylvia Ratnasamy, John Wawrzynek, Edward A. Lee
2018	A	`conf`	DumbNet: a smart data center network fabric with dumb switches. EuroSys Yiran Li, Da Wei, Xiaoqi Chen, Ziheng Song, Ruihan Wu, Yuxing Li, Xin Jin, Wei Xu
2018	J	`jnl`	NetChain: Scale-Free Sub-RTT Coordination (Extended Version). CoRR Xin Jin, Xiaozhou Li, Haoyu Zhang, Nate Foster, Jeongkeun Lee, Robert Soulé, Changhoon Kim, Ion Stoica
2018	Misc	`conf`	NetChain: Scale-Free Sub-RTT Coordination. NSDI Xin Jin, Xiaozhou Li, Haoyu Zhang, Nate Foster, Jeongkeun Lee, Robert Soulé, Changhoon Kim, Ion Stoica
2018	A*	`conf`	Proactive Video Push for Optimizing Bandwidth Consumption in Hybrid CDN-P2P VoD Systems. INFOCOM Yuanxing Zhang, Chengliang Gao, Yangze Guo, Kaigui Bian, Xin Jin, Zhi Yang, Lingyang Song, Jiangang Cheng, Hu Tuo, Xiaoming Li
2018	—	`ed.`	Proceedings of the 2018 Morning Workshop on In-Network Computing, NetCompute@SIGCOMM 2018, Budapest, Hungary, August 20, 2018 NetCompute@SIGCOMM Xin Jin, Changhoon Kim
2018	—	`conf`	Towards Fast and Scalable Graph Pattern Mining. HotCloud Anand Padmanabha Iyer, Zaoxing Liu, Xin Jin, Shivaram Venkataraman, Vladimir Braverman, Ion Stoica
2017	A	`conf`	Catalyst: Unlocking the Power of Choice to Speed up Network Updates. CoNEXT Rohan Gandhi, Ori Rottenstreich, Xin Jin
2017	A*	`conf`	Competitive analysis for online scheduling in software-defined optical WAN. INFOCOM Su Jia, Xin Jin, Golnaz Ghasemiesfeh, Jiaxin Ding, Jie Gao
2017	A*	`conf`	NetCache: Balancing Key-Value Stores with Fast In-Network Caching. SOSP Xin Jin, Xiaozhou Li, Haoyu Zhang, Robert Soulé, Jeongkeun Lee, Nate Foster, Changhoon Kim, Ion Stoica
2017	A*	`conf`	SketchVisor: Robust Network Measurement for Software Packet Processing. SIGCOMM Qun Huang, Xin Jin, Patrick P. C. Lee, Runhui Li, Lu Tang, Yi-Chao Chen, Gong Zhang
2017	J	`jnl`	SnapLink: Fast and Accurate Vision-Based Appliance Control in Large Commercial Buildings. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Kaifei Chen, Jonathan Fürst, John Kolb, Hyung-Sin Kim, Xin Jin, David E. Culler, Randy H. Katz
2016	—	`conf`	A 12-rack, 180-server datacenter network (DCN) using multiwavelength optical switching and full stack optimization. OFC Da Wei, Lei Xu, Xin Jin, Yiran Li, Wei Xu
2016	—	`—`	Dynamic Control of Software-Defined Networks Xin Jin
2016	A	`conf`	Increasing large-scale data center capacity by statistical power control. EuroSys Guosai Wang, Shuhao Wang, Bing Luo, Weisong Shi, Yinghang Zhu, Wenjun Yang, Dianming Hu, Longbo Huang, Xin Jin, Wei Xu
2016	A*	`conf`	Optimizing Bulk Transfers with Software-Defined Optical WAN. SIGCOMM Xin Jin, Yiran Li, Da Wei, Siming Li, Jie Gao, Lei Xu, Guangzhi Li, Wei Xu, Jennifer Rexford
2016	—	`conf`	Your Data Center Switch is Trying Too Hard. SOSR Xin Jin, Nathan Farrington, Jennifer Rexford
2015	Misc	`conf`	Can Accurate Predictions Improve Video Streaming in Cellular Networks? HotMobile Xuan Kelvin Zou, Jeffrey Erman, Vijay Gopalakrishnan, Emir Halepovic, Rittwik Jana, Xin Jin, Jennifer Rexford, Rakesh K. Sinha
2015	Misc	`conf`	CoVisor: A Compositional Hypervisor for Software-Defined Networks. NSDI Xin Jin, Jennifer Gossels, Jennifer Rexford, David Walker
2014	A*	`conf`	Dynamic scheduling of network updates. SIGCOMM Xin Jin, Hongqiang Harry Liu, Rohan Gandhi, Srikanth Kandula, Ratul Mahajan, Ming Zhang, Jennifer Rexford, Roger Wattenhofer
2014	—	`conf`	Incremental update for a compositional SDN hypervisor. HotSDN Xin Jin, Jennifer Rexford, David Walker
2013	A*	`conf`	Intra-data-center traffic engineering with ensemble routing. INFOCOM Ziyu Shao, Xin Jin, Wenjie Jiang, Minghua Chen, Mung Chiang
2013	J	`jnl`	SoftCell: Taking Control of Cellular Core Networks CoRR Xin Jin, Li Erran Li, Laurent Vanbever, Jennifer Rexford
2013	A	`conf`	SoftCell: scalable and flexible cellular core network architecture. CoNEXT Xin Jin, Li Erran Li, Laurent Vanbever, Jennifer Rexford
2012	—	`conf`	Virtual Switching Without a Hypervisor for a More Secure Cloud. Hot-ICE Xin Jin, Eric Keller, Jennifer Rexford
2011	—	`conf`	A study of the VANET connectivity by percolation theory. CCNC Xin Jin, Weijie Su, Yan Wei
2011	—	`conf`	Quantitative Analysis of the VANET Connectivity: Theory and Application. VTC Spring Xin Jin, Weijie Su, Wei Yan
2011	—	`conf`	Relative Link Quality Assessment and Hybrid Routing Scheme for Wireless Mesh Networks. ICC Chaoyi Bian, Xin Jin, Chao Liu, Xiaoming Li, Wei Yan