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2020 – today
- 2023
[c5]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:
Natural Language to Code Generation in Interactive Data Science Notebooks. ACL (1) 2023: 126-173- [c4]Gabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishabh Singh, Michele Catasta:
Measuring the Impact of Programming Language Distribution. ICML 2023: 26619-26645 - [c3]Reiner Pope, Sholto Douglas, Aakanksha Chowdhery, Jacob Devlin, James Bradbury, Jonathan Heek, Kefan Xiao, Shivani Agrawal, Jeff Dean:
Efficiently Scaling Transformer Inference. MLSys 2023 - [i5]Gabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishabh Singh, Michele Catasta:
Measuring The Impact Of Programming Language Distribution. CoRR abs/2302.01973 (2023) - [i4]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.:
PaLM 2 Technical Report. CoRR abs/2305.10403 (2023) - [i3]Xinyun Chen, Renat Aksitov, Uri Alon, Jie Ren, Kefan Xiao, Pengcheng Yin, Sushant Prakash, Charles Sutton, Xuezhi Wang, Denny Zhou:
Universal Self-Consistency for Large Language Model Generation. CoRR abs/2311.17311 (2023) - 2022
- [i2]Reiner Pope, Sholto Douglas, Aakanksha Chowdhery, Jacob Devlin, James Bradbury, Anselm Levskaya, Jonathan Heek, Kefan Xiao, Shivani Agrawal, Jeff Dean:
Efficiently Scaling Transformer Inference. CoRR abs/2211.05102 (2022) - [i1]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:
Natural Language to Code Generation in Interactive Data Science Notebooks. CoRR abs/2212.09248 (2022) - 2020
- [j3]Kefan Xiao, Shiwen Mao
, Jitendra K. Tugnait:
Robust QoE-Driven DASH Over OFDMA Networks. IEEE Trans. Multim. 22(2): 474-486 (2020)
2010 – 2019
- 2019
- [j2]Kefan Xiao, Shiwen Mao, Jitendra K. Tugnait:
TCP-Drinc: Smart Congestion Control Based on Deep Reinforcement Learning. IEEE Access 7: 11892-11904 (2019) - 2017
- [j1]Kefan Xiao, Shiwen Mao, Jitendra K. Tugnait:
MAQ: A Multiple Model Predictive Congestion Control Scheme for Cognitive Radio Networks. IEEE Trans. Wirel. Commun. 16(4): 2614-2626 (2017) - 2016
- [c2]Kefan Xiao, Shiwen Mao, Jitendra K. Tugnait:
Congestion Control for Infrastructure-Based CRNs: A Multiple Model Predictive Control Approach. GLOBECOM 2016: 1-6 - [c1]Kefan Xiao, Shiwen Mao, Jitendra K. Tugnait:
QoE-Driven Resource Allocation for DASH over OFDMA Networks. GLOBECOM 2016: 1-6
Coauthor Index
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