16 citations · 21 across the 8 of their papers we have counts for
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cs.LG2021★ 1 cited
Rethinking Adam: A Twofold Exponential Moving Average Approach
Yizhou Wang, Yue Kang, Can Qin +4
Adaptive gradient methods, e.g. \textsc{Adam}, have achieved tremendous success in machine learning. Scaling the learning rate element-wisely by a certain form of second moment est…
stat.ML2021★ 1 cited
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms
Qin Ding, Yue Kang, Yi-Wei Liu +3
The stochastic contextual bandit problem, which models the trade-off between exploration and exploitation, has many real applications, including recommender systems, online adverti…
q-bio.BM2021★ 16 cited
Sequence-based deep learning antibody design for in silico antibody affinity maturation
Yue Kang, Dawei Leng, Jinjiang Guo +1
Antibody therapeutics has been extensively studied in drug discovery and development within the past decades. One increasingly popular focus in the antibody discovery pipeline is t…