Vincent Zhao

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 6

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Publications

Jinhyuk Lee, Zhuyun Dai, Sai Meher Karthik Duddu, Tao Lei, Iftekhar Naim, Ming-Wei Chang, Vincent Zhao
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval. NeurIPS (2023)
Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR (2023)
Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Zhao, Andrew M. Dai, Zhifeng Chen, Quoc V. Le, James Laudon
Mixture-of-Experts with Expert Choice Routing. NeurIPS (2022)
Yifan Sun, Trinayan Baruah, Saiful A. Mojumder, Shi Dong, Xiang Gong, Shane Treadway, Yuhui Bao, Spencer Hance, Carter McCardwell, Vincent Zhao, Harrison Barclay, Amir Kavyan Ziabari, Zhongliang Chen, Rafael Ubal, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli
MGPUSim: enabling multi-GPU performance modeling and optimization. ISCA (2019)
Yifan Sun, Trinayan Baruah, Saiful A. Mojumder, Shi Dong, Rafael Ubal, Xiang Gong, Shane Treadway, Yuhui Bao, Vincent Zhao, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli
MGSim + MGMark: A Framework for Multi-GPU System Research. CoRR (2018)
Vincent Zhao, Steven W. Zucker
Feature Selection Facilitates Learning Mixtures of Discrete Product Distributions. CoRR (2017)
Vincent Zhao, Steven W. Zucker
Active Sets Improves Learning for Mixture Models. CoRR (2015)