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researcher

J. Bi

22 papers hereh-index 407.2k citations166 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author16

Across the 21 of 22 papers where every author was matched, so the position is known.

fields
  • cs.LG13
  • cs.CV2
  • math.OC2
  • cs.AR1
  • cs.DC1
  • cs.DS1
same name
  • J. Bi — 3 papers, h 4
  • J. Bi — 1 paper, h 10
  • J. Bi — 1 paper, h 37
  • J. Bi — 1 paper, h 31
  • J. Bi — 1 paper, h 68
  • J. Bi — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162022
most citedA Survey on Multi-View Clustering

119 citations · 366 across the 21 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.AR2021★ 1 cited

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search

Hongwu Peng, Shiyang Chen, Zhepeng Wang +9

Molecular similarity search has been widely used in drug discovery to identify structurally similar compounds from large molecular databases rapidly. With the increasing size of ch…

math.OC2021★ 1 cited

Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods

Guannan Liang, Qianqian Tong, Chunjiang Zhu +1

Stochastically controlled stochastic gradient (SCSG) methods have been proved to converge efficiently to first-order stationary points which, however, can be saddle points in nonco…

cs.LG2021

An Efficient Algorithm for Deep Stochastic Contextual Bandits

Tan Zhu, Guannan Liang, Chunjiang Zhu +2

In stochastic contextual bandit (SCB) problems, an agent selects an action based on certain observed context to maximize the cumulative reward over iterations. Recently there have…

cs.LG2021★ 21 cited

Discrete Graph Structure Learning for Forecasting Multiple Time Series

Chao Shang, Jie Chen, Jinbo Bi

Time series forecasting is an extensively studied subject in statistics, economics, and computer science. Exploration of the correlation and causation among the variables in a mult…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.