1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2026★ 1 cited
SciIntegrity-Bench: A Benchmark for Evaluating Academic Integrity in AI Scientist Systems
Zonglin Yang, Xingtong Liu, Xinyan Xu
AI scientist systems are increasingly deployed for autonomous research, yet their academic integrity has never been systematically evaluated. We introduce SCIINTEGRITY-BENCH, the f…
math.OC2026
Efficient and provably convergent end-to-end training of deep neural networks with linear constraints
Zonglin Yang, Zhexuan Gu, Yancheng Yuan
Training a deep neural network with the outputs of selected layers satisfying linear constraints is required in many contemporary data-driven applications. While this can be achiev…