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Yuezhou Hu
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2020 – today
- 2026
- [i12]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:
Residual Context Diffusion Language Models. CoRR abs/2601.22954 (2026) - [i11]Jintao Zhang, Kai Jiang, Chendong Xiang, Weiqi Feng, Yuezhou Hu, Haocheng Xi, Jianfei Chen, Jun Zhu:
SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning. CoRR abs/2602.13515 (2026) - [i10]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:
Squeeze Evolve: Unified Multi-Model Orchestration for Verifier-Free Evolution. CoRR abs/2604.07725 (2026) - [i9]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:
LoSA: Locality Aware Sparse Attention for Block-Wise Diffusion Language Models. CoRR abs/2604.12056 (2026) - 2025
- [c3]Weiyu Huang, Yuezhou Hu, Guohao Jian, Jun Zhu, Jianfei Chen:
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training. AAAI 2025: 24167-24175 - [i8]Yuezhou Hu, Weiyu Huang, Zichen Liang, Chang Chen, Jintao Zhang, Jun Zhu, Jianfei Chen:
Identifying Sensitive Weights via Post-quantization Integral. CoRR abs/2503.01901 (2025) - [i7]Weiyu Huang, Yuezhou Hu, Jun Zhu, Jianfei Chen:
CAST: Continuous and Differentiable Semi-Structured Sparsity-Aware Training for Large Language Models. CoRR abs/2509.25996 (2025) - [i6]Wonjun Kang, Kevin Galim, Seunghyuk Oh, Minjae Lee, Yuchen Zeng, Shuibai Zhang, Coleman Hooper, Yuezhou Hu, Hyung Il Koo, Nam Ik Cho, Kangwook Lee:
ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs. CoRR abs/2510.04767 (2025) - [i5]Yuezhou Hu, Jiaxin Guo, Xinyu Feng, Tuo Zhao:
AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders. CoRR abs/2510.19779 (2025) - [i4]Monishwaran Maheswaran, Rishabh Tiwari, Yuezhou Hu, Kerem Dilmen, Coleman Hooper, Haocheng Xi, Nicholas Lee, Mehrdad Farajtabar, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
Arbitrage: Efficient Reasoning via Advantage-Aware Speculation. CoRR abs/2512.05033 (2025) - 2024
- [c2]Yuezhou Hu, Kang Zhao, Weiyu Huang, Jianfei Chen, Jun Zhu:
Accelerating Transformer Pre-training with 2: 4 Sparsity. ICML 2024: 19531-19543 - [c1]Yuezhou Hu, Jun Zhu, Jianfei Chen:
S-STE: Continuous Pruning Function for Efficient 2: 4 Sparse Pre-training. NeurIPS 2024 - [i3]Yuezhou Hu, Kang Zhao, Weiyu Huang, Jianfei Chen, Jun Zhu:
Accelerating Transformer Pre-Training with 2: 4 Sparsity. CoRR abs/2404.01847 (2024) - [i2]Weiyu Huang, Guohao Jian, Yuezhou Hu, Jun Zhu, Jianfei Chen:
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training. CoRR abs/2407.20584 (2024) - [i1]Yuezhou Hu, Jun Zhu, Jianfei Chen:
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training. CoRR abs/2409.09099 (2024)
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