NeurIPS 2022

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Lightning Talk

Lightning Talks 3A-1

Shu Ding · Wanxing Chang · Jiyang Guan · Mouxiang Chen · Guan Gui · Yue Tan · Shiyun Lin · Guodong Long · Yuze Han · Wei Wang · Zhen Zhao · Ye Shi · Jian Liang · Chenghao Liu · Lei Qi · Ran He · Jie Ma · Zemin Liu · Xiang Li · Hoang Tuan · Luping Zhou · Zhihua Zhang · Jianling Sun · Jingya Wang · LU LIU · Tianyi Zhou · Lei Wang · Jing Jiang · Yinghuan Shi

Wed Dec 07 09:00 AM -- 09:15 AM (PST) @

in Featured Papers Panels 3A »

Q&A on RocketChat immediately following Lightning Talks

Author Information

Shu Ding (Nanjing University)

Wanxing Chang (ShanghaiTech University)

Jiyang Guan (Institute of Automation, Chinese Academy of Sciences)

Mouxiang Chen (Zhejiang University)

Guan Gui (NanJing University)

Yue Tan (University of Technology Sydney)

Shiyun Lin (Peking University)

Guodong Long (University of Technology Sydney (UTS))

Yuze Han (Peking University)

Wei Wang (Nanjing University)

Zhen Zhao (University of Sydney)

Ph.D. candidate @ University of Sydney.

Ye Shi (ShanghaiTech University)

Jian Liang (CASIA)

Chenghao Liu (Zhejiang University)

Lei Qi (Southeast University)

Ran He (NLPR, CASIA)

Jie Ma (University of Technology Sydney)

Zemin Liu (Singapore Management University)

Xiang Li (Peking University)

Hoang Tuan (University of Technology Sydney)

Luping Zhou (University of Sydney)

Zhihua Zhang (Peking University)

Jianling Sun (Zhejiang University)

Jingya Wang (ShanghaiTech University)

LU LIU (Google)

Lu Liu is a 3-rd year Ph.D. student from University of Technology Sydney. Her research interests lie in Machine Learning, Meta-learning and Low-shot learning.

Tianyi Zhou (University of Maryland, College Park)

Tianyi Zhou (https://tianyizhou.github.io) is a tenure-track assistant professor of computer science at the University of Maryland, College Park. He received his Ph.D. from the school of computer science & engineering at the University of Washington, Seattle. His research interests are in machine learning, optimization, and natural language processing (NLP). His recent works study curriculum learning that can combine high-level human learning strategies with model training dynamics to create a hybrid intelligence. The applications include semi/self-supervised learning, robust learning, reinforcement learning, meta-learning, ensemble learning, etc. He published >80 papers and is a recipient of the Best Student Paper Award at ICDM 2013 and the 2020 IEEE Computer Society TCSC Most Influential Paper Award.