Xin Jin

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 93

Top Venues

Publications

Xin Jin, Zhihao Bai, Zhen Zhang, Yibo Zhu, Yinmin Zhong, Xuanzhe Liu
DistMind: Efficient Resource Disaggregation for Deep Learning Workloads. IEEE/ACM Trans. Netw. 32 (3) (2024)
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
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. NSDI (2024)
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
Efficient Training of Large Language Models on Distributed Infrastructures: A Survey. CoRR (2024)
Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR (2024)
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
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. CoRR (2024)
Zili Zhang, Chao Jin, Xin Jin
Jolteon: Unleashing the Promise of Serverless for Serverless Workflows. NSDI (2024)
Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu, Yibo Zhu, Xuanzhe Liu, Xin Jin, Hao Zhang
DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving. OSDI (2024)
Bingyang Wu, Shengyu Liu, Yinmin Zhong, Peng Sun, Xuanzhe Liu, Xin Jin
LoongServe: Efficiently Serving Long-context Large Language Models with Elastic Sequence Parallelism. CoRR (2024)
Bingyang Wu, Ruidong Zhu, Zili Zhang, Peng Sun, Xuanzhe Liu, Xin Jin
dLoRA: Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving. OSDI (2024)
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
LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism. CoRR (2024)
Zili Zhang, Fangyue Liu, Gang Huang, Xuanzhe Liu, Xin Jin
Fast Vector Query Processing for Large Datasets Beyond GPU Memory with Reordered Pipelining. NSDI (2024)
Chao Jin, Zili Zhang, Xuanlin Jiang, Fangyue Liu, Xin Liu, Xuanzhe Liu, Xin Jin
RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation. CoRR (2024)
Daliang Xu, Mengwei Xu, Chiheng Lou, Li Zhang, Gang Huang, Xin Jin, Xuanzhe Liu
SoCFlow: Efficient and Scalable DNN Training on SoC-Clustered Edge Servers. ASPLOS (1) (2024)
Junyi Shu, Kun Qian, Ennan Zhai, Xuanzhe Liu, Xin Jin
Burstable Cloud Block Storage with Data Processing Units. OSDI (2024)
Sheng Qi, Chao Jin, Mosharaf Chowdhury, Zhenming Liu, Xuanzhe Liu, Xin Jin
Pyxis: Scheduling Mixed Tasks in Disaggregated Datacenters. IEEE Trans. Parallel Distributed Syst. 35 (9) (2024)
Chengxu Yang, Mengwei Xu, Qipeng Wang, Zhenpeng Chen, Kang Huang, Yun Ma, Kaigui Bian, Gang Huang, Yunxin Liu, Xin Jin, Xuanzhe Liu
FLASH: Heterogeneity-Aware Federated Learning at Scale. IEEE Trans. Mob. Comput. 23 (1) (2024)
Bingyang Wu, Zili Zhang, Zhihao Bai, Xuanzhe Liu, Xin Jin
Transparent GPU Sharing in Container Clouds for Deep Learning Workloads. NSDI (2023)
Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. OSDI (2023)
Daliang Xu, Qing Li, Mengwei Xu, Kang Huang, Gang Huang, Shangguang Wang, Xin Jin, Yun Ma, Xuanzhe Liu
Niagara: Scheduling DNN Inference Services on Heterogeneous Edge Processors. ICSOC (1) (2023)
Xuanzhe Liu, Jinfeng Wen, Zhenpeng Chen, Ding Li, Junkai Chen, Yi Liu, Haoyu Wang, Xin Jin
: General Application-level Cold-start Latency Optimization for Function-as-a-Service in Serverless Computing. ACM Trans. Softw. Eng. Methodol. 32 (5) (2023)
Yihao Zhao, Xiaoxiang Zhang, Hang Zhu, Ying Zhang, Zhaodong Wang, Yuandong Tian, Alex Nikulkov, Joao Ferreira, Xuanzhe Liu, Xin Jin
Klotski: Efficient and Safe Network Migration of Large Production Datacenters. SIGCOMM (2023)
Zhuolong Yu, Bowen Su, Wei Bai, Shachar Raindel, Vladimir Braverman, Xin Jin
Understanding the Micro-Behaviors of Hardware Offloaded Network Stacks with Lumina. SIGCOMM (2023)
Jinfeng Wen, Zhenpeng Chen, Xin Jin, Xuanzhe Liu
Rise of the Planet of Serverless Computing: A Systematic Review. ACM Trans. Softw. Eng. Methodol. 32 (5) (2023)
Zili Zhang, Chao Jin, Linpeng Tang, Xuanzhe Liu, Xin Jin
Fast, Approximate Vector Queries on Very Large Unstructured Datasets. NSDI (2023)
Yiding Wang, Weiyan Wang, Duowen Liu, Xin Jin, Junchen Jiang, Kai Chen
Enabling Edge-Cloud Video Analytics for Robotics Applications. IEEE Trans. Cloud Comput. 11 (2) (2023)
Bingyang Wu, Yinmin Zhong, Zili Zhang, Gang Huang, Xuanzhe Liu, Xin Jin
Fast Distributed Inference Serving for Large Language Models. CoRR (2023)
Xuanzhe Liu, Diandian Gu, Zhenpeng Chen, Jinfeng Wen, Zili Zhang, Yun Ma, Haoyu Wang, Xin Jin
Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective. ACM Trans. Softw. Eng. Methodol. 32 (6) (2023)
Insu Jang, Zhenning Yang, Zhen Zhang, Xin Jin, Mosharaf Chowdhury
Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates. SOSP (2023)
Bingyang Wu, Kun Qian, Bo Li, Yunfei Ma, Qi Zhang, Zhigang Jiang, Jiayu Zhao, Dennis Cai, Ennan Zhai, Xuanzhe Liu, Xin Jin
XRON: A Hybrid Elastic Cloud Overlay Network for Video Conferencing at Planetary Scale. SIGCOMM (2023)
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
Automated Verification of an In-Production DNS Authoritative Engine. SOSP (2023)
Xinchen Wan, Kaiqiang Xu, Xudong Liao, Yilun Jin, Kai Chen, Xin Jin
Scalable and Efficient Full-Graph GNN Training for Large Graphs. Proc. ACM Manag. Data 1 (2) (2023)
Sheng Qi, Xuanzhe Liu, Xin Jin
Halfmoon: Log-Optimal Fault-Tolerant Stateful Serverless Computing. SOSP (2023)
Chao Jin, Zili Zhang, Xingyu Xiang, Songyun Zou, Gang Huang, Xuanzhe Liu, Xin Jin
Ditto: Efficient Serverless Analytics with Elastic Parallelism. SIGCOMM (2023)
Yiqing Ma, Han Tian, Xudong Liao, Junxue Zhang, Weiyan Wang, Kai Chen, Xin Jin
Multi-objective congestion control. EuroSys (2022)
Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. CoRR (2022)
Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. Proc. VLDB Endow. 16 (1) (2022)
Peifeng Yu, Yuqing Qiu, Xin Jin, Mosharaf Chowdhury
Orloj: Predictably Serving Unpredictable DNNs. CoRR (2022)
Daliang Xu, Mengwei Xu, Qipeng Wang, Shangguang Wang, Yun Ma, Kang Huang, Guang Huang, Xin Jin, Xuanzhe Liu
Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading. CoRR (2022)
Yihao Zhao, Yuanqiang Liu, Yanghua Peng, Yibo Zhu, Xuanzhe Liu, Xin Jin
Multi-resource interleaving for deep learning training. SIGCOMM (2022)
Naiqian Zheng, Mengqi Liu, Ennan Zhai, Hongqiang Harry Liu, Yifan Li, Kaicheng Yang, Xuanzhe Liu, Xin Jin
Meissa: scalable network testing for programmable data planes. SIGCOMM (2022)
Hang Zhu, Tao Wang, Yi Hong, Dan R. K. Ports, Anirudh Sivaraman, Xin Jin
NetVRM: Virtual Register Memory for Programmable Networks. NSDI (2022)
Qipeng Wang, Mengwei Xu, Chao Jin, Xinran Dong, Jinliang Yuan, Xin Jin, Gang Huang, Yunxin Liu, Xuanzhe Liu
Melon: breaking the memory wall for resource-efficient on-device machine learning. MobiSys (2022)
Jinfeng Wen, Zhenpeng Chen, Ding Li, Junkai Chen, Yi Liu, Haoyu Wang, Xin Jin, Xuanzhe Liu
LambdaLite: Application-Level Optimization for Cold Start Latency in Serverless Computing. CoRR (2022)
Dedong Xie, Zhen Jia, Zili Zhang, Xin Jin
Optimizing half precision Winograd convolution on ARM many-core processors. APSys (2022)
Junyi Shu, Xin Jin, Yun Ma, Xuanzhe Liu, Gang Huang
Cost-effective data analytics across multiple cloud regions. SIGCOMM Posters and Demos (2021)
Zhuolong Yu, Chuheng Hu, Jingfeng Wu, Xiao Sun, Vladimir Braverman, Mosharaf Chowdhury, Zhenhua Liu, Xin Jin
Programmable packet scheduling with a single queue. SIGCOMM (2021)
Yiding Wang, Weiyan Wang, Duowen Liu, Xin Jin, Junchen Jiang, Kai Chen
Enabling Edge-Cloud Video Analytics for Robotics Applications. INFOCOM (2021)
Jie You, Jingfeng Wu, Xin Jin, Mosharaf Chowdhury
Ship Compute or Ship Data? Why Not Both? NSDI (2021)
Jinfeng Wen, Zhenpeng Chen, Yi Liu, Yiling Lou, Yun Ma, Gang Huang, Xin Jin, Xuanzhe Liu
An empirical study on challenges of application development in serverless computing. ESEC/SIGSOFT FSE (2021)
Zhuolong Yu, Jingfeng Wu, Vladimir Braverman, Ion Stoica, Xin Jin
Twenty Years After: Hierarchical Core-Stateless Fair Queueing. NSDI (2021)
Zhihao Bai, Ke Wang, Hang Zhu, Yinzhi Cao, Xin Jin
Runtime Recovery of Web Applications under Zero-Day ReDoS Attacks. IEEE Symposium on Security and Privacy (2021)
Diandian Gu, Zhenpeng Chen, Yuanqiang Liu, Zili Zhang, Yun Ma, Xin Jin, Xuanzhe Liu
Demystifying Developers' Issues in Distributed Training of Deep Learning Software. CoRR (2021)
Zaoxing Liu, Hun Namkung, Georgios Nikolaidis, Jeongkeun Lee, Changhoon Kim, Xin Jin, Vladimir Braverman, Minlan Yu, Vyas Sekar
Jaqen: A High-Performance Switch-Native Approach for Detecting and Mitigating Volumetric DDoS Attacks with Programmable Switches. USENIX Security Symposium (2021)
Hang Zhu, Varun Gupta, Satyajeet Singh Ahuja, Yuandong Tian, Ying Zhang, Xin Jin
Network planning with deep reinforcement learning. SIGCOMM (2021)
Zhihao Bai, Zhen Zhang, Yibo Zhu, Xin Jin
PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications. OSDI (2020)
Tao Wang, Hang Zhu, Fabian Ruffy, Xin Jin, Anirudh Sivaraman, Dan R. K. Ports, Aurojit Panda
Multitenancy for Fast and Programmable Networks in the Cloud. HotCloud (2020)
Zhuolong Yu, Yiwen Zhang, Vladimir Braverman, Mosharaf Chowdhury, Xin Jin
NetLock: Fast, Centralized Lock Management Using Programmable Switches. SIGCOMM (2020)
Yu Chen, Zhenming Liu, Bin Ren, Xin Jin
On Efficient Constructions of Checkpoints. ICML (2020)
Yiran Li, Kevin Gao, Xin Jin, Wei Xu
Concerto: cooperative network-wide telemetry with controllable error rate. APSys (2020)
Jialin Li, Jacob Nelson, Ellis Michael, Xin Jin, Dan R. K. Ports
Pegasus: Tolerating Skewed Workloads in Distributed Storage with In-Network Coherence Directories. OSDI (2020)
Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin
Is Network the Bottleneck of Distributed Training? CoRR (2020)
Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin
Is Network the Bottleneck of Distributed Training? NetAI@SIGCOMM (2020)
Hang Zhu, Kostis Kaffes, Zixu Chen, Zhenming Liu, Christos Kozyrakis, Ion Stoica, Xin Jin
RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers. OSDI (2020)
Hang Zhu, Kostis Kaffes, Zixu Chen, Zhenming Liu, Christos Kozyrakis, Ion Stoica, Xin Jin
RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers (Technical Report). CoRR (2020)
Yu Chen, Zhenming Liu, Bin Ren, Xin Jin
On Efficient Constructions of Checkpoints. CoRR (2020)
Eric Liang, Hang Zhu, Xin Jin, Ion Stoica
Neural Packet Classification. CoRR (2019)
Eric Liang, Hang Zhu, Xin Jin, Ion Stoica
Neural packet classification. SIGCOMM (2019)
Hang Zhu, Zhihao Bai, Jialin Li, Ellis Michael, Dan R. K. Ports, Ion Stoica, Xin Jin
Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection. CoRR (2019)
Zaoxing Liu, Zhihao Bai, Zhenming Liu, Xiaozhou Li, Changhoon Kim, Vladimir Braverman, Xin Jin, Ion Stoica
DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching. USENIX Annual Technical Conference (2019)
Peng Wang, Hong Xu, Xin Jin, Tao Wang
Flash: Efficient Dynamic Routing for Offchain Networks. CoRR (2019)
Zaoxing Liu, Zhihao Bai, Zhenming Liu, Xiaozhou Li, Changhoon Kim, Vladimir Braverman, Xin Jin, Ion Stoica
DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching. CoRR (2019)
Peng Wang, Hong Xu, Xin Jin, Tao Wang
Flash: efficient dynamic routing for offchain networks. CoNEXT (2019)
Zaoxing Liu, Zhihao Bai, Zhenming Liu, Xiaozhou Li, Changhoon Kim, Vladimir Braverman, Xin Jin, Ion Stoica
DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching. FAST (2019)
Nikita Ivkin, Zhuolong Yu, Vladimir Braverman, Xin Jin
QPipe: quantiles sketch fully in the data plane. CoNEXT (2019)
Hang Zhu, Zhihao Bai, Jialin Li, Ellis Michael, Dan R. K. Ports, Ion Stoica, Xin Jin
Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection. Proc. VLDB Endow. 13 (3) (2019)
Xin Jin, Xiaozhou Li, Haoyu Zhang, Nate Foster, Jeongkeun Lee, Robert Soulé, Changhoon Kim, Ion Stoica
NetChain: Scale-Free Sub-RTT Coordination (Extended Version). CoRR (2018)
Anand Padmanabha Iyer, Zaoxing Liu, Xin Jin, Shivaram Venkataraman, Vladimir Braverman, Ion Stoica
ASAP: Fast, Approximate Graph Pattern Mining at Scale. OSDI (2018)
Ben Zhang, Xin Jin, Sylvia Ratnasamy, John Wawrzynek, Edward A. Lee
AWStream: adaptive wide-area streaming analytics. SIGCOMM (2018)
Yuanxing Zhang, Chengliang Gao, Yangze Guo, Kaigui Bian, Xin Jin, Zhi Yang, Lingyang Song, Jiangang Cheng, Hu Tuo, Xiaoming Li
Proactive Video Push for Optimizing Bandwidth Consumption in Hybrid CDN-P2P VoD Systems. INFOCOM (2018)
Xin Jin, Xiaozhou Li, Haoyu Zhang, Nate Foster, Jeongkeun Lee, Robert Soulé, Changhoon Kim, Ion Stoica
NetChain: Scale-Free Sub-RTT Coordination. NSDI (2018)
Yiran Li, Da Wei, Xiaoqi Chen, Ziheng Song, Ruihan Wu, Yuxing Li, Xin Jin, Wei Xu
DumbNet: a smart data center network fabric with dumb switches. EuroSys (2018)
Anand Padmanabha Iyer, Zaoxing Liu, Xin Jin, Shivaram Venkataraman, Vladimir Braverman, Ion Stoica
Towards Fast and Scalable Graph Pattern Mining. HotCloud (2018)
Rohan Gandhi, Ori Rottenstreich, Xin Jin
Catalyst: Unlocking the Power of Choice to Speed up Network Updates. CoNEXT (2017)
Su Jia, Xin Jin, Golnaz Ghasemiesfeh, Jiaxin Ding, Jie Gao
Competitive analysis for online scheduling in software-defined optical WAN. INFOCOM (2017)
Qun Huang, Xin Jin, Patrick P. C. Lee, Runhui Li, Lu Tang, Yi-Chao Chen, Gong Zhang
SketchVisor: Robust Network Measurement for Software Packet Processing. SIGCOMM (2017)
Kaifei Chen, Jonathan Fürst, John Kolb, Hyung-Sin Kim, Xin Jin, David E. Culler, Randy H. Katz
SnapLink: Fast and Accurate Vision-Based Appliance Control in Large Commercial Buildings. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (4) (2017)
Xin Jin, Xiaozhou Li, Haoyu Zhang, Robert Soulé, Jeongkeun Lee, Nate Foster, Changhoon Kim, Ion Stoica
NetCache: Balancing Key-Value Stores with Fast In-Network Caching. SOSP (2017)
Xin Jin, Yiran Li, Da Wei, Siming Li, Jie Gao, Lei Xu, Guangzhi Li, Wei Xu, Jennifer Rexford
Optimizing Bulk Transfers with Software-Defined Optical WAN. SIGCOMM (2016)
Guosai Wang, Shuhao Wang, Bing Luo, Weisong Shi, Yinghang Zhu, Wenjun Yang, Dianming Hu, Longbo Huang, Xin Jin, Wei Xu
Increasing large-scale data center capacity by statistical power control. EuroSys (2016)
Da Wei, Lei Xu, Xin Jin, Yiran Li, Wei Xu
A 12-rack, 180-server datacenter network (DCN) using multiwavelength optical switching and full stack optimization. OFC (2016)
Xin Jin, Nathan Farrington, Jennifer Rexford
Your Data Center Switch is Trying Too Hard. SOSR (2016)
Xin Jin, Jennifer Gossels, Jennifer Rexford, David Walker
CoVisor: A Compositional Hypervisor for Software-Defined Networks. NSDI (2015)
Xuan Kelvin Zou, Jeffrey Erman, Vijay Gopalakrishnan, Emir Halepovic, Rittwik Jana, Xin Jin, Jennifer Rexford, Rakesh K. Sinha
Can Accurate Predictions Improve Video Streaming in Cellular Networks? HotMobile (2015)
Xin Jin, Jennifer Rexford, David Walker
Incremental update for a compositional SDN hypervisor. HotSDN (2014)
Xin Jin, Hongqiang Harry Liu, Rohan Gandhi, Srikanth Kandula, Ratul Mahajan, Ming Zhang, Jennifer Rexford, Roger Wattenhofer
Dynamic scheduling of network updates. SIGCOMM (2014)
Xin Jin, Li Erran Li, Laurent Vanbever, Jennifer Rexford
SoftCell: scalable and flexible cellular core network architecture. CoNEXT (2013)
Xin Jin, Li Erran Li, Laurent Vanbever, Jennifer Rexford
SoftCell: Taking Control of Cellular Core Networks CoRR (2013)
Ziyu Shao, Xin Jin, Wenjie Jiang, Minghua Chen, Mung Chiang
Intra-data-center traffic engineering with ensemble routing. INFOCOM (2013)
Xin Jin, Eric Keller, Jennifer Rexford
Virtual Switching Without a Hypervisor for a More Secure Cloud. Hot-ICE (2012)
Xin Jin, Weijie Su, Wei Yan
Quantitative Analysis of the VANET Connectivity: Theory and Application. VTC Spring (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xin Jin