Kefan Xiao

13 papers A* 1B 2Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2023 — conf
Efficiently Scaling Transformer Inference.
MLSys
Reiner Pope, Sholto Douglas, Aakanksha Chowdhery, Jacob Devlin, James Bradbury, Jonathan Heek, Kefan Xiao, Shivani Agrawal, Jeff Dean
2023 J jnl
Measuring The Impact Of Programming Language Distribution.
CoRR
Gabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishabh Singh, Michele Catasta
2023 A* conf
Measuring the Impact of Programming Language Distribution.
ICML
Gabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishabh Singh, Michele Catasta
2023 — conf
Natural Language to Code Generation in Interactive Data Science Notebooks.
ACL (1)
Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Oleksandr Polozov, Charles Sutton
2023 J jnl
PaLM 2 Technical Report.
CoRR
Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.
2023 J jnl
Universal Self-Consistency for Large Language Model Generation.
CoRR
Xinyun Chen, Renat Aksitov, Uri Alon, Jie Ren, Kefan Xiao, Pengcheng Yin, Sushant Prakash, Charles Sutton, Xuezhi Wang, Denny Zhou
2022 J jnl
Efficiently Scaling Transformer Inference.
CoRR
Reiner Pope, Sholto Douglas, Aakanksha Chowdhery, Jacob Devlin, James Bradbury, Anselm Levskaya, Jonathan Heek, Kefan Xiao, Shivani Agrawal, Jeff Dean
2022 J jnl
Natural Language to Code Generation in Interactive Data Science Notebooks.
CoRR
Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Alex Polozov, Charles Sutton
2020 J jnl
Robust QoE-Driven DASH Over OFDMA Networks.
IEEE Trans. Multim.
Kefan Xiao, Shiwen Mao, Jitendra K. Tugnait
2019 J jnl
TCP-Drinc: Smart Congestion Control Based on Deep Reinforcement Learning.
IEEE Access
Kefan Xiao, Shiwen Mao, Jitendra K. Tugnait
2017 J jnl
MAQ: A Multiple Model Predictive Congestion Control Scheme for Cognitive Radio Networks.
IEEE Trans. Wirel. Commun.
Kefan Xiao, Shiwen Mao, Jitendra K. Tugnait
2016 B conf
Congestion Control for Infrastructure-Based CRNs: A Multiple Model Predictive Control Approach.
GLOBECOM
Kefan Xiao, Shiwen Mao, Jitendra K. Tugnait
2016 B conf
QoE-Driven Resource Allocation for DASH over OFDMA Networks.
GLOBECOM
Kefan Xiao, Shiwen Mao, Jitendra K. Tugnait