Huixia Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
8
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | LAER-MoE: Load-Adaptive Expert Re-layout for Efficient Mixture-of-Experts Training. | Xinyi Liu, Yujie Wang, Fangcheng Fu, Xuefeng Xiao, Huixia Li, Jiashi Li, Bin Cui |
| 2025 | AAAI | ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models. | Jiaxiang Cheng, Pan Xie, Xin Xia, Jiashi Li, Jie Wu, Yuxi Ren, Huixia Li, Xuefeng Xiao, Shilei Wen, Lean Fu |
| 2025 | ASPLOS | FlexSP: Accelerating Large Language Model Training via Flexible Sequence Parallelism. | Yujie Wang, Shiju Wang, Shenhan Zhu, Fangcheng Fu, Xinyi Liu, Xuefeng Xiao, Huixia Li, Jiashi Li, Faming Wu, Bin Cui |
| 2025 | ICCV | Training-Free and Adaptive Sparse Attention for Efficient Long Video Generation. | Yifei Xia, Suhan Ling, Fangcheng Fu, Yujie Wang, Huixia Li, Xuefeng Xiao, Bin Cui |
| 2025 | ICML | polybasic Speculative Decoding Through a Theoretical Perspective. | Ruilin Wang, Huixia Li, Yuexiao Ma, Xiawu Zheng, Fei Chao, Xuefeng Xiao, Rongrong Ji |
| 2025 | IJCNN | Breaking Static Barriers: Dynamic Post-Training Quantization for Diffusion Models. | Xiao Yang, Huixia Li, Lijiang Li, Xiawu Zheng, Yuexiao Ma, Feng Ling, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Fei Chao |
| 2024 | ICLR | AffineQuant: Affine Transformation Quantization for Large Language Models. | Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji |
| 2024 | ICML | Outlier-aware Slicing for Post-Training Quantization in Vision Transformer. | Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji |
| 2023 | AAAI | OMPQ: Orthogonal Mixed Precision Quantization. | Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Yongjian Wu, Guannan Jiang, Wei Zhang, Rongrong Ji |
| 2023 | CVPR | Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective. | Yuexiao Ma, Huixia Li, Xiawu Zheng, Xuefeng Xiao, Rui Wang, Shilei Wen, Xin Pan, Fei Chao, Rongrong Ji |
| 2023 | ICCV | AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration. | Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji |
| 2020 | ECCV | PAMS: Quantized Super-Resolution via Parameterized Max Scale. | Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji |