Zishan Shao

According to our database, Zishan Shao authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

ELDOR: A Dataset and Benchmark for Illegal Gold Mining in the Amazon Rainforest.

Kangning Cui, Surendra Bohara, Suraj Prasai, Zishan Shao, Wei Tang, Martin Pillaca, Edwin Flores, Zhen Yang, Gregory D. Larsen, Evan Nylen Dethier, David A. Lutz, Jean-Michel Morel, Miles R. Silman, Victor Paúl Pauca, Fan Yang

CoRR, May, 2026

FlashSVD v1.5: Making Low-Rank Transformers Inference Actually Fast.

Wenhao Wu, Zishan Shao, Kangning Cui, Jinhee Kim, Yixiao Wang, Hancheng Ye, Danyang Zhuo, Yiran Chen

CoRR, May, 2026

ZEUS: Accelerating Diffusion Models with Only Second-Order Predictor.

Yixiao Wang, Ting Jiang, Zishan Shao, Hancheng Ye, Jingwei Sun, Mingyuan Ma, Jianyi Zhang, Yiran Chen, Hai Li

CoRR, April, 2026

T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoning.

Qinsi Wang, Hancheng Ye, Jinhee Kim, Jinghan Ke, Yifei Wang, Martin Kuo, Zishan Shao, Dongting Li, Yueqian Lin, Ting Jiang, Chiyue Wei, Qi Qian, Wei Wen, Helen Li, Yiran Chen

CoRR, March, 2026

FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models.

Zishan Shao, Yixiao Wang, Qinsi Wang, Ting Jiang, Zhixu Du, Hancheng Ye, Danyang Zhuo, Yiran Chen, Hai (Helen) Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models.

Yixiao Wang, Zishan Shao, Ting Jiang, Aditya Devarakonda

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SADA: Stability-guided Adaptive Diffusion Acceleration.

Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Scalable Dual Coordinate Descent for Kernel Methods.

Zishan Shao, Aditya Devarakonda

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2025

2024

PalmProbNet: A Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest via Transfer Learning.

Kangning Cui, Zishan Shao, Gregory D. Larsen, Victor Paúl Pauca, Sarra M. Alqahtani, David Segurado, João Pinheiro, Manqi Wang, David A. Lutz, Robert J. Plemmons, Miles R. Silman

Proceedings of the 2024 ACM Southeast Conference, 2024