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Home/Authors/Shu Wan

Shu Wan

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×2Vision×1ML×1Stats Method.×1Stats ML×1

Frequent co-authors

Kaustav Kundu1×
Ritvik Shrivastava1×
Maxim Arap1×
Nanshu Wang1×
Xianhui Zhu1×
Quintin Fettes1×

Research Timeline

2026
The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction

While restricting a model to the theoretical Markov boundary can significantly improve prediction, the practical process of discovering and using this boundary is often computationally infeasible and does not consistently outperform using the full feature set.

Plan, Watch, Recover: A Benchmark and Architectures for Proactive Procedural Assistance

This paper introduces a proactive multi-modal assistant system and a large-scale dataset for procedural assistance.

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.AIRecentJun 3, 2026

Plan, Watch, Recover: A Benchmark and Architectures for Proactive Procedural Assistance

Kaustav Kundu, Ritvik Shrivastava, Maxim Arap, Nanshu Wang +12 more

This paper introduces a proactive multi-modal assistant system and a large-scale dataset for procedural assistance.

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cs.LGcs.AIstat.MERecentMay 28, 2026

The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction

Shu Wan, Abhinav Gorantla, Huan Liu, K. Selçuk Candan

While restricting a model to the theoretical Markov boundary can significantly improve prediction, the practical process of discovering and using this boundary is often computationally infeasible and…

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