Sizhuang He

According to our database, Sizhuang He authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Learning Permutation Distributions via Reflected Diffusion on Ranks.

Sizhuang He, Yangtian Zhang, Shiyang Zhang, David van Dijk

CoRR, March, 2026

STRIDE: Post-Training LLMs to Reason and Refine Bio-Sequences via Edit Trajectories.

Daiheng Zhang, Shiyang Zhang, Sizhuang He, Yangtian Zhang, Syed Asad Rizvi, David van Dijk

CoRR, March, 2026

TANTE: Time-adaptive operator learning via neural Taylor expansion.

Zhikai Wu, Sifan Wang, Shiyang Zhang, Sizhuang He, Min Zhu, Anran Jiao, Lu Lu, David van Dijk

J. Comput. Phys., 2026

2025

Non-Markovian Discrete Diffusion with Causal Language Models.

Yangtian Zhang, Sizhuang He, Daniel LeVine, Lawrence Zhao, David Zhang, Syed Asad Rizvi, Emanuele Zappala, Rex Ying, David van Dijk

CoRR, February, 2025

COAST: Intelligent Time-Adaptive Neural Operators.

Zhikai Wu, Shiyang Zhang, Sizhuang He, Sifan Wang, Min Zhu, Anran Jiao, Lu Lu, David van Dijk

CoRR, February, 2025

Intelligence at the Edge of Chaos.

Shiyang Zhang, Aakash Patel, Syed Asad Rizvi, Nianchen Liu, Sizhuang He, Amin Karbasi, Emanuele Zappala, David van Dijk

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

CaLMFlow: Volterra Flow Matching using Causal Language Models.

Sizhuang He, Daniel LeVine, Ivan Vrkic, Marco Francesco Bressana, David Zhang, Syed Asad Rizvi, Yangtian Zhang, Emanuele Zappala, David van Dijk

CoRR, 2024

2023

Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods.

Emanuele Zappala, Daniel LeVine, Sizhuang He, Syed Asad Rizvi, Sacha Levy, David van Dijk

CoRR, 2023