15 citations · 15 across the 5 of their papers we have counts for
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cs.LG2023
Constrained Bayesian Optimization Under Partial Observations: Balanced Improvements and Provable Convergence
Shengbo Wang, Ke Li
The partially observable constrained optimization problems (POCOPs) impede data-driven optimization techniques since an infeasible solution of POCOPs can provide little information…
cs.LG2021
AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars
Bo Lyu, Shengbo Wang, Shiping Wen +4
The sparse representation of graphs has shown great potential for accelerating the computation of graph applications (e.g., Social Networks, Knowledge Graphs) on traditional comput…