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Xin Jin 0008

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affiliation: Peking University, China
affiliation (former): Johns Hopkins University, Department of Computer Science, Baltimore, MD, USA
affiliation (PhD 2016): Princeton University, Department of Computer Science, NJ, USA

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2024
[j9]
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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): 483-500 (2024)
2023
[j8]
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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): 143:1-143:23 (2023)
[j7]
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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): 1500-1513 (2023)
[j6]
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Xuanzhe Liu, Jinfeng Wen, Zhenpeng Chen, Ding Li, Junkai Chen, Yi Liu, Haoyu Wang, Xin Jin:
FaaSLight: General Application-level Cold-start Latency Optimization for Function-as-a-Service in Serverless Computing. ACM Trans. Softw. Eng. Methodol. 32(5): 119:1-119:29 (2023)
[j5]
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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): 131:1-131:61 (2023)
[j4]
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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): 156:1-156:26 (2023)
2022
[j3]
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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): 37-50 (2022)
2019
[j2]
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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): 376-389 (2019)
2017
[j1]
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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): 129:1-129:27 (2017)

Conference and Workshop Papers

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2024
[c68]
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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: 23-40
[c67]
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Zili Zhang, Chao Jin, Xin Jin:
Jolteon: Unleashing the Promise of Serverless for Serverless Workflows. NSDI 2024: 167-183
2023
[c66]
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Junyi Shu, Ruidong Zhu, Yun Ma, Gang Huang, Hong Mei, Xuanzhe Liu, Xin Jin:
Disaggregated RAID Storage in Modern Datacenters. ASPLOS (3) 2023: 147-163
[c65]
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Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu:
ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning. ASPLOS (2) 2023: 266-280
[c64]
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  - conf/icsoc/XuLXHHWJML23
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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: 67-85
[c63]
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Bingyang Wu, Zili Zhang, Zhihao Bai, Xuanzhe Liu, Xin Jin:
Transparent GPU Sharing in Container Clouds for Deep Learning Workloads. NSDI 2023: 69-85
[c62]
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Zili Zhang, Chao Jin, Linpeng Tang, Xuanzhe Liu, Xin Jin:
Fast, Approximate Vector Queries on Very Large Unstructured Datasets. NSDI 2023: 995-1011
[c61]
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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: 663-679
[c60]
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Chao Jin, Zili Zhang, Xingyu Xiang, Songyun Zou, Gang Huang, Xuanzhe Liu, Xin Jin:
Ditto: Efficient Serverless Analytics with Elastic Parallelism. SIGCOMM 2023: 406-419
[c59]
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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: 696-709
[c58]
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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: 783-797
[c57]
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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: 1074-1087
[c56]
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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: 80-95
[c55]
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Sheng Qi, Xuanzhe Liu, Xin Jin:
Halfmoon: Log-Optimal Fault-Tolerant Stateful Serverless Computing. SOSP 2023: 314-330
[c54]
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Insu Jang, Zhenning Yang, Zhen Zhang, Xin Jin, Mosharaf Chowdhury:
Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates. SOSP 2023: 382-395
2022
[c53]
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  - conf/apsys/XieJZ022
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Dedong Xie, Zhen Jia, Zili Zhang, Xin Jin:
Optimizing half precision Winograd convolution on ARM many-core processors. APSys 2022: 53-60
[c52]
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  - conf/eurosys/MaTLZW0J22
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Yiqing Ma, Han Tian, Xudong Liao, Junxue Zhang, Weiyan Wang, Kai Chen, Xin Jin:
Multi-objective congestion control. EuroSys 2022: 218-235
[c51]
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  - conf/mobicom/XuXWW0H0JL22
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Daliang Xu, Mengwei Xu, Qipeng Wang, Shangguang Wang, Yun Ma, Kang Huang, Gang Huang, Xin Jin, Xuanzhe Liu:
Mandheling: mixed-precision on-device DNN training with DSP offloading. MobiCom 2022: 214-227
[c50]
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  - conf/mobisys/WangXJDY0HLL22
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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: 450-463
[c49]
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  - conf/nsdi/ZhuWHPS022
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Hang Zhu, Tao Wang, Yi Hong, Dan R. K. Ports, Anirudh Sivaraman, Xin Jin:
NetVRM: Virtual Register Memory for Programmable Networks. NSDI 2022: 155-170
[c48]
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  - conf/sigcomm/ZhengLZLLYL022
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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: 350-364
[c47]
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  - conf/sigcomm/ZhaoLPZLJ22
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Yihao Zhao, Yuanqiang Liu, Yanghua Peng, Yibo Zhu, Xuanzhe Liu, Xin Jin:
Multi-resource interleaving for deep learning training. SIGCOMM 2022: 428-440
2021
[c46]
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  - conf/infocom/WangWLJJ021
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Yiding Wang, Weiyan Wang, Duowen Liu, Xin Jin, Junchen Jiang, Kai Chen:
Enabling Edge-Cloud Video Analytics for Robotics Applications. INFOCOM 2021: 1-10
[c45]
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Zhuolong Yu, Jingfeng Wu, Vladimir Braverman, Ion Stoica, Xin Jin:
Twenty Years After: Hierarchical Core-Stateless Fair Queueing. NSDI 2021: 29-45
[c44]
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  - conf/nsdi/YouW0C21
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Jie You, Jingfeng Wu, Xin Jin, Mosharaf Chowdhury:
Ship Compute or Ship Data? Why Not Both? NSDI 2021: 633-651
[c43]
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  - conf/sigcomm/ShuJ0LH21
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Junyi Shu, Xin Jin, Yun Ma, Xuanzhe Liu, Gang Huang:
Cost-effective data analytics across multiple cloud regions. SIGCOMM Posters and Demos 2021: 1-3
[c42]
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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: 179-193
[c41]
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Hang Zhu, Varun Gupta, Satyajeet Singh Ahuja, Yuandong Tian, Ying Zhang, Xin Jin:
Network planning with deep reinforcement learning. SIGCOMM 2021: 258-271
[c40]
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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: 416-428
[c39]
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Zhihao Bai, Ke Wang, Hang Zhu, Yinzhi Cao, Xin Jin:
Runtime Recovery of Web Applications under Zero-Day ReDoS Attacks. SP 2021: 1575-1588
[c38]
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  - conf/uss/LiuNNLK0BYS21
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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: 3829-3846
2020
[c37]
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Yiran Li, Kevin Gao, Xin Jin, Wei Xu:
Concerto: cooperative network-wide telemetry with controllable error rate. APSys 2020: 114-121
[c36]
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  - conf/hotcloud/WangZR0SPP20
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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
[c35]
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  - conf/icml/0036LRJ20
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Yu Chen, Zhenming Liu, Bin Ren, Xin Jin:
On Efficient Constructions of Checkpoints. ICML 2020: 1627-1636
[c34]
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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: 387-406
[c33]
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Zhihao Bai, Zhen Zhang, Yibo Zhu, Xin Jin:
PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications. OSDI 2020: 499-514
[c32]
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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: 1225-1240
[c31]
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Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin:
Is Network the Bottleneck of Distributed Training? NetAI@SIGCOMM 2020: 8-13
[c30]
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Zhuolong Yu, Yiwen Zhang, Vladimir Braverman, Mosharaf Chowdhury, Xin Jin:
NetLock: Fast, Centralized Lock Management Using Programmable Switches. SIGCOMM 2020: 126-138
2019
[c29]
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  - conf/conext/IvkinYB019
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Nikita Ivkin, Zhuolong Yu, Vladimir Braverman, Xin Jin:
QPipe: quantiles sketch fully in the data plane. CoNEXT 2019: 285-291
[c28]
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Peng Wang, Hong Xu, Xin Jin, Tao Wang:
Flash: efficient dynamic routing for offchain networks. CoNEXT 2019: 370-381
[c27]
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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: 143-157
[c26]
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Eric Liang, Hang Zhu, Xin Jin, Ion Stoica:
Neural packet classification. SIGCOMM 2019: 256-269
[c25]
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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
2018
[c24]
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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: 9:1-9:13
[c23]
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Anand Padmanabha Iyer, Zaoxing Liu, Xin Jin, Shivaram Venkataraman, Vladimir Braverman, Ion Stoica:
Towards Fast and Scalable Graph Pattern Mining. HotCloud 2018
[c22]
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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: 2555-2563
[c21]
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Xin Jin, Xiaozhou Li, Haoyu Zhang, Nate Foster, Jeongkeun Lee, Robert Soulé, Changhoon Kim, Ion Stoica:
NetChain: Scale-Free Sub-RTT Coordination. NSDI 2018: 35-49
[c20]
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Anand Padmanabha Iyer, Zaoxing Liu, Xin Jin, Shivaram Venkataraman, Vladimir Braverman, Ion Stoica:
ASAP: Fast, Approximate Graph Pattern Mining at Scale. OSDI 2018: 745-761
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Ben Zhang, Xin Jin, Sylvia Ratnasamy, John Wawrzynek, Edward A. Lee:
AWStream: adaptive wide-area streaming analytics. SIGCOMM 2018: 236-252
2017
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Rohan Gandhi, Ori Rottenstreich, Xin Jin:
Catalyst: Unlocking the Power of Choice to Speed up Network Updates. CoNEXT 2017: 276-282
[c17]
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Su Jia, Xin Jin, Golnaz Ghasemiesfeh, Jiaxin Ding, Jie Gao:
Competitive analysis for online scheduling in software-defined optical WAN. INFOCOM 2017: 1-9
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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: 113-126
[c15]
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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: 121-136
2016
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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: 8:1-8:15
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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: 1-3
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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: 87-100
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Xin Jin, Nathan Farrington, Jennifer Rexford:
Your Data Center Switch is Trying Too Hard. SOSR 2016: 12
2015
[c10]
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Xin Jin, Jennifer Gossels, Jennifer Rexford, David Walker:
CoVisor: A Compositional Hypervisor for Software-Defined Networks. NSDI 2015: 87-101
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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: 57-62
2014
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Xin Jin, Jennifer Rexford, David Walker:
Incremental update for a compositional SDN hypervisor. HotSDN 2014: 187-192
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Xin Jin, Hongqiang Harry Liu, Rohan Gandhi, Srikanth Kandula, Ratul Mahajan, Ming Zhang, Jennifer Rexford, Roger Wattenhofer:
Dynamic scheduling of network updates. SIGCOMM 2014: 539-550
2013
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Xin Jin, Li Erran Li, Laurent Vanbever, Jennifer Rexford:
SoftCell: scalable and flexible cellular core network architecture. CoNEXT 2013: 163-174
[c5]
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Ziyu Shao, Xin Jin, Wenjie Jiang, Minghua Chen, Mung Chiang:
Intra-data-center traffic engineering with ensemble routing. INFOCOM 2013: 2148-2156
2012
[c4]
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Xin Jin, Eric Keller, Jennifer Rexford:
Virtual Switching Without a Hypervisor for a More Secure Cloud. Hot-ICE 2012
2011
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Xin Jin, Weijie Su, Yan Wei:
A study of the VANET connectivity by percolation theory. CCNC 2011: 85-89
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ChaoYi Bian, Xin Jin, Chao Liu, Xiaoming Li, Wei Yan:
Relative Link Quality Assessment and Hybrid Routing Scheme for Wireless Mesh Networks. ICC 2011: 1-6
[c1]
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Xin Jin, Weijie Su, Wei Yan:
Quantitative Analysis of the VANET Connectivity: Theory and Application. VTC Spring 2011: 1-5

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2020
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Behnaz Arzani, Xin Jin:
Proceedings of the 2020 Workshop on Network Meets AI & ML, NetAI@SIGCOMM, Virtual Event, USA, August 14, 2020. ACM 2020, ISBN 978-1-4503-8043-0 [contents]
2018
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Xin Jin, Changhoon Kim:
Proceedings of the 2018 Morning Workshop on In-Network Computing, NetCompute@SIGCOMM 2018, Budapest, Hungary, August 20, 2018. ACM 2018 [contents]

Informal and Other Publications

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2024
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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:
A Survey of Resource-efficient LLM and Multimodal Foundation Models. CoRR abs/2401.08092 (2024)
[i22]
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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. CoRR abs/2401.09670 (2024)
2023
[i21]
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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. CoRR abs/2302.11665 (2023)
[i20]
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Yihao Zhao, Xin Liu, Shufan Liu, Xiang Li, Yibo Zhu, Gang Huang, Xuanzhe Liu, Xin Jin:
MuxFlow: Efficient and Safe GPU Sharing in Large-Scale Production Deep Learning Clusters. CoRR abs/2303.13803 (2023)
[i19]
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Diandian Gu, Xintong Xie, Gang Huang, Xin Jin, Xuanzhe Liu:
Energy-Efficient GPU Clusters Scheduling for Deep Learning. CoRR abs/2304.06381 (2023)
[i18]
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Bingyang Wu, Yinmin Zhong, Zili Zhang, Gang Huang, Xuanzhe Liu, Xin Jin:
Fast Distributed Inference Serving for Large Language Models. CoRR abs/2305.05920 (2023)
[i17]
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Daliang Xu, Wangsong Yin, Xin Jin, Ying Zhang, Shiyun Wei, Mengwei Xu, Xuanzhe Liu:
LLMCad: Fast and Scalable On-device Large Language Model Inference. CoRR abs/2309.04255 (2023)
[i16]
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Insu Jang, Zhenning Yang, Zhen Zhang, Xin Jin, Mosharaf Chowdhury:
Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates. CoRR abs/2309.08125 (2023)
2022
[i15]
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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 abs/2205.00119 (2022)
[i14]
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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 abs/2206.07509 (2022)
[i13]
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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 abs/2207.08175 (2022)
[i12]
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Peifeng Yu, Yuqing Qiu, Xin Jin, Mosharaf Chowdhury:
Orloj: Predictably Serving Unpredictable DNNs. CoRR abs/2209.00159 (2022)
2021
[i11]
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  - journals/corr/abs-2107-01427
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Yiqing Ma, Han Tian, Xudong Liao, Junxue Zhang, Weiyan Wang, Kai Chen, Xin Jin:
Multi-Objective Congestion Control. CoRR abs/2107.01427 (2021)
[i10]
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  - journals/corr/abs-2112-06222
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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 abs/2112.06222 (2021)
2020
[i9]
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Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin:
Is Network the Bottleneck of Distributed Training? CoRR abs/2006.10103 (2020)
[i8]
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Yu Chen, Zhenming Liu, Bin Ren, Xin Jin:
On Efficient Constructions of Checkpoints. CoRR abs/2009.13003 (2020)
[i7]
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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 abs/2010.05969 (2020)
2019
[i6]
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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 abs/1901.08200 (2019)
[i5]
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  - journals/corr/abs-1902-05260
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Peng Wang, Hong Xu, Xin Jin, Tao Wang:
Flash: Efficient Dynamic Routing for Offchain Networks. CoRR abs/1902.05260 (2019)
[i4]
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  - journals/corr/abs-1902-10319
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Eric Liang, Hang Zhu, Xin Jin, Ion Stoica:
Neural Packet Classification. CoRR abs/1902.10319 (2019)
[i3]
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  - journals/corr/abs-1904-08964
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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 abs/1904.08964 (2019)
2018
[i2]
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  - journals/corr/abs-1802-08236
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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 abs/1802.08236 (2018)
2013
[i1]
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  - journals/corr/abs-1305-3568
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Xin Jin, Li Erran Li, Laurent Vanbever, Jennifer Rexford:
SoftCell: Taking Control of Cellular Core Networks. CoRR abs/1305.3568 (2013)

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