Yuezhou Hu

According to our database, Yuezhou Hu authored at least 13 papers between 2024 and 2026.

Collaborative distances:

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

2026

Speculative Decoding for Autoregressive Video Generation.

Yuezhou Hu, Jintao Zhang

CoRR, April, 2026

LoSA: Locality Aware Sparse Attention for Block-Wise Diffusion Language Models.

Haocheng Xi, Harman Singh, Yuezhou Hu, Coleman Hooper, Rishabh Tiwari, Aditya Tomar, Minjae Lee, Wonjun Kang, Michael W. Mahoney, Chenfeng Xu, Kurt Keutzer, Amir Gholami

CoRR, April, 2026

Squeeze Evolve: Unified Multi-Model Orchestration for Verifier-Free Evolution.

Monishwaran Maheswaran, Leon Lakhani, Zhongzhu Zhou, Shijia Yang, Junxiong Wang, Coleman Hooper, Yuezhou Hu, Rishabh Tiwari, Jue Wang, Harman Singh, Qingyang Wu, Yuqing Jian, Ce Zhang, Kurt Keutzer, Tri Dao, Xiaoxia Wu, Ben Athiwaratkun, James Zou, Chenfeng Xu

CoRR, April, 2026

SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning.

Jintao Zhang, Kai Jiang, Chendong Xiang, Weiqi Feng, Yuezhou Hu, Haocheng Xi, Jianfei Chen, Jun Zhu

CoRR, February, 2026

Residual Context Diffusion Language Models.

Yuezhou Hu, Harman Singh, Monishwaran Maheswaran, Haocheng Xi, Coleman Hooper, Jintao Zhang, Aditya Tomar, Michael W. Mahoney, Sewon Min, Mehrdad Farajtabar, Kurt Keutzer, Amir Gholami, Chenfeng Xu

CoRR, January, 2026

2025

Arbitrage: Efficient Reasoning via Advantage-Aware Speculation.

Monishwaran Maheswaran, Rishabh Tiwari, Yuezhou Hu, Kerem Dilmen, Coleman Hooper, Haocheng Xi, Nicholas Lee, Mehrdad Farajtabar, Michael W. Mahoney, Kurt Keutzer, Amir Gholami

CoRR, December, 2025

ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs.

Wonjun Kang, Kevin Galim, Seunghyuk Oh, Minjae Lee, Yuchen Zeng, Shuibai Zhang, Coleman Hooper, Yuezhou Hu, Hyung Il Koo, Nam Ik Cho, Kangwook Lee

CoRR, October, 2025

CAST: Continuous and Differentiable Semi-Structured Sparsity-Aware Training for Large Language Models.

Weiyu Huang, Yuezhou Hu, Jun Zhu, Jianfei Chen

CoRR, September, 2025

Identifying Sensitive Weights via Post-quantization Integral.

Yuezhou Hu, Weiyu Huang, Zichen Liang, Chang Chen, Jintao Zhang, Jun Zhu, Jianfei Chen

CoRR, March, 2025

AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders.

Yuezhou Hu, Jiaxin Guo, Xinyu Feng, Tuo Zhao

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

Pruning Large Language Models with Semi-Structural Adaptive Sparse Training.

Weiyu Huang, Yuezhou Hu, Guohao Jian, Jun Zhu, Jianfei Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

S-STE: Continuous Pruning Function for Efficient 2: 4 Sparse Pre-training.

Yuezhou Hu, Jun Zhu, Jianfei Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Accelerating Transformer Pre-training with 2: 4 Sparsity.

Yuezhou Hu, Kang Zhao, Weiyu Huang, Jianfei Chen, Jun Zhu

Proceedings of the Forty-first International Conference on Machine Learning, 2024