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2020 – today
- 2024
[j1]Siva Kesava Reddy Kakarla
, Francis Y. Yan, Ryan Beckett:
Diffy: Data-Driven Bug Finding for Configurations. Proc. ACM Program. Lang. 8(PLDI): 199-222 (2024)- [c14]Zhiyuan He, Aashish Gottipati, Lili Qiu, Xufang Luo, Kenuo Xu, Yuqing Yang, Francis Y. Yan:
Designing Network Algorithms via Large Language Models. HotNets 2024: 205-212 - [c13]Sami Khairy, Gabriel Mittag, Vishak Gopal, Francis Y. Yan, Zhixiong Niu, Ezra Ameri, Scott Inglis, Mehrsa Golestaneh, Ross Cutler:
ACM MMSys 2024 Bandwidth Estimation in Real Time Communications Challenge. MMSys 2024: 339-345 - [c12]Zibo Wang, Pinghe Li, Chieh-Jan Mike Liang, Feng Wu, Francis Y. Yan:
Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices. NSDI 2024: 149-165 - [c11]Yihua Cheng, Ziyi Zhang, Hanchen Li, Anton Arapin, Yue Zhang, Qizheng Zhang, Yuhan Liu, Kuntai Du, Xu Zhang, Francis Y. Yan, Amrita Mazumdar, Nick Feamster, Junchen Jiang:
GRACE: Loss-Resilient Real-Time Video through Neural Codecs. NSDI 2024: 509-531 - [i11]Sami Khairy, Gabriel Mittag, Vishak Gopal, Francis Y. Yan, Zhixiong Niu, Ezra Ameri, Scott Inglis, Mehrsa Golestaneh, Ross Cutler:
ACM MMSys 2024 Bandwidth Estimation in Real Time Communications Challenge. CoRR abs/2403.06324 (2024) - [i10]Zhiyuan He, Aashish Gottipati, Lili Qiu, Francis Y. Yan, Xufang Luo, Kenuo Xu, Yuqing Yang:
LLM-ABR: Designing Adaptive Bitrate Algorithms via Large Language Models. CoRR abs/2404.01617 (2024) - [i9]Shuowei Jin, Francis Y. Yan, Cheng Tan, Anuj Kalia, Xenofon Foukas, Z. Morley Mao:
AutoSpec: Automated Generation of Neural Network Specifications. CoRR abs/2409.10897 (2024) - [i8]Aashish Gottipati, Sami Khairy, Yasaman Hosseinkashi, Gabriel Mittag, Vishak Gopal, Francis Y. Yan, Ross Cutler:
Balancing Generalization and Specialization: Offline Metalearning for Bandwidth Estimation. CoRR abs/2409.19867 (2024) - [i7]Neil Agarwal, Rui Pan, Francis Y. Yan, Ravi Netravali:
Tarzan: Passively-Learned Real-Time Rate Control for Video Conferencing. CoRR abs/2410.03339 (2024) - [i6]Zhiying Xu, Francis Y. Yan, Minlan Yu:
Zeal: Rethinking Large-Scale Resource Allocation with "Decouple and Decompose". CoRR abs/2412.11447 (2024) - 2023
- [c10]Yueying Li, Daochen Zha, Tianjun Zhang, G. Edward Suh, Christina Delimitrou, Francis Y. Yan:
Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning. Tiny Papers @ ICLR 2023 - [c9]Yongzhou Chen, Ammar Tahir, Francis Y. Yan, Radhika Mittal:
Octopus: In-Network Content Adaptation to Control Congestion on 5G Links. SEC 2023: 199-214 - [c8]Paramvir Bahl, Matthew Balkwill, Xenofon Foukas, Anuj Kalia, Daehyeok Kim, Manikanta Kotaru, Zhihua Lai, Sanjeev Mehrotra, Bozidar Radunovic, Stefan Saroiu, Connor Settle, Ankit Verma, Alec Wolman, Francis Y. Yan, Yongguang Zhang:
Accelerating Open RAN Research Through an Enterprise-scale 5G Testbed. MobiCom 2023: 138:1-138:3 - [c7]Michael Rudow, Francis Y. Yan, Abhishek Kumar, Ganesh Ananthanarayanan, Martin Ellis, K. V. Rashmi:
Tambur: Efficient loss recovery for videoconferencing via streaming codes. NSDI 2023: 953-971 - [c6]Zhiying Xu, Francis Y. Yan, Rachee Singh, Justin T. Chiu, Alexander M. Rush, Minlan Yu:
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering. SIGCOMM 2023: 378-393 - [c5]Nikita Lazarev, Tao Ji, Anuj Kalia, Daehyeok Kim, Ilias Marinos, Francis Y. Yan, Christina Delimitrou, Zhiru Zhang, Aditya Akella:
Resilient Baseband Processing in Virtualized RANs with Slingshot. SIGCOMM 2023: 654-667 - 2022
- [c4]Jeongyoon Eo, Zhixiong Niu, Wenxue Cheng, Francis Y. Yan, Rui Gao, Jorina Kardhashi, Scott Inglis, Michael Revow, Byung-Gon Chun, Peng Cheng, Yongqiang Xiong:
OpenNetLab: Open Platform for RL-based Congestion Control for Real-Time Communications. APNet 2022: 70-75 - [c3]Zhengxu Xia, Yajie Zhou, Francis Y. Yan, Junchen Jiang:
Genet: automatic curriculum generation for learning adaptation in networking. SIGCOMM 2022: 397-413 - [i5]Zhengxu Xia, Yajie Zhou, Francis Y. Yan, Junchen Jiang:
Automatic Curriculum Generation for Learning Adaptation in Networking. CoRR abs/2202.05940 (2022) - [i4]Zhiying Xu, Francis Y. Yan, Rachee Singh, Justin T. Chiu, Alexander M. Rush, Minlan Yu:
Teal: Learning-Accelerated Optimization of Traffic Engineering. CoRR abs/2210.13763 (2022) - [i3]Zibo Wang, Pinghe Li, Chieh-Jan Mike Liang, Feng Wu, Francis Y. Yan:
Autothrottle: A Practical Framework for Harvesting CPUs from SLO-Targeted Microservices. CoRR abs/2212.12180 (2022) - 2020
- [c2]Francis Y. Yan, Hudson Ayers, Chenzhi Zhu, Sadjad Fouladi, James Hong, Keyi Zhang, Philip Alexander Levis, Keith Winstein:
Learning in situ: a randomized experiment in video streaming. NSDI 2020: 495-511 - [i2]Emily Marx, Francis Y. Yan, Keith Winstein:
Implementing BOLA-BASIC on Puffer: Lessons for the use of SSIM in ABR logic. CoRR abs/2011.09611 (2020)
2010 – 2019
- 2019
- [i1]Francis Y. Yan, Hudson Ayers, Chenzhi Zhu, Sadjad Fouladi, James Hong, Keyi Zhang, Philip Alexander Levis, Keith Winstein:
Continual learning improves Internet video streaming. CoRR abs/1906.01113 (2019) - 2018
- [c1]Francis Y. Yan, Jestin Ma, Greg D. Hill, Deepti Raghavan, Riad S. Wahby, Philip Alexander Levis, Keith Winstein:
Pantheon: the training ground for Internet congestion-control research. USENIX ATC 2018: 731-743
Coauthor Index
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