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2020 – today
- 2025
[c8]Wei Huang, Yue Liao, Jianhui Liu, Ruifei He, Haoru Tan, Shiming Zhang, Hongsheng Li, Si Liu, Xiaojuan Qi:
Mixture Compressor for Mixture-of-Experts LLMs Gains More. ICLR 2025- [c7]Haoru Tan, Sitong Wu, Wei Huang, Shizhen Zhao, Xiaojuan Qi:
Data Pruning by Information Maximization. ICLR 2025 - [c6]Shaofeng Zhang, Qiang Zhou, Sitong Wu, Haoru Tan, Zhibin Wang, Jinfa Huang, Junchi Yan:
CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning. ICLR 2025 - [i10]Haoru Tan, Sitong Wu, Wei Huang, Shizhen Zhao, Xiaojuan Qi:
Data Pruning by Information Maximization. CoRR abs/2506.01701 (2025) - [i9]Haoru Tan, Sitong Wu, Xiuzhe Wu, Wang Wang, Bo Zhao, Zeke Xie, Gui-Song Xia, Xiaojuan Qi:
Understanding Data Influence with Differential Approximation. CoRR abs/2508.14648 (2025) - 2024
- [j2]Haoru Tan, Chuang Wang
, Sitong Wu, Xu-Yao Zhang, Fei Yin, Chenglin Liu:
Ensemble Quadratic Assignment Network for Graph Matching. Int. J. Comput. Vis. 132(9): 3633-3655 (2024) - [c5]Sitong Wu, Haoru Tan, Zhuotao Tian, Yukang Chen, Xiaojuan Qi, Jiaya Jia:
SaCo Loss: Sample-Wise Affinity Consistency for Vision-Language Pre-Training. CVPR 2024: 27348-27359 - [i8]Ruifei He, Chuhui Xue, Haoru Tan, Wenqing Zhang, Yingchen Yu, Song Bai, Xiaojuan Qi:
Debiasing Text-to-Image Diffusion Models. CoRR abs/2402.14577 (2024) - [i7]Haoru Tan, Chuang Wang, Sitong Wu, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Ensemble Quadratic Assignment Network for Graph Matching. CoRR abs/2403.06457 (2024) - [i6]Haoru Tan, Chuang Wang, Xu-Yao Zhang, Cheng-Lin Liu:
Differentiable Proximal Graph Matching. CoRR abs/2405.16479 (2024) - [i5]Wei Huang, Yue Liao, Jianhui Liu, Ruifei He, Haoru Tan, Shiming Zhang, Hongsheng Li, Si Liu, Xiaojuan Qi:
MC-MoE: Mixture Compressor for Mixture-of-Experts LLMs Gains More. CoRR abs/2410.06270 (2024) - 2023
- [j1]Hai Wu, Ruifei He, Haoru Tan, Xiaojuan Qi, Kaibin Huang:
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15964-15978 (2023) - [c4]Haoru Tan, Sitong Wu, Fei Du, Yukang Chen, Zhibin Wang, Fan Wang, Xiaojuan Qi:
Data Pruning via Moving-one-Sample-out. NeurIPS 2023 - [i4]Haoru Tan, Sitong Wu, Jimin Pi:
Semantic Diffusion Network for Semantic Segmentation. CoRR abs/2302.02057 (2023) - [i3]Haoru Tan, Sitong Wu, Fei Du, Yukang Chen, Zhibin Wang, Fan Wang, Xiaojuan Qi:
Data Pruning via Moving-one-Sample-out. CoRR abs/2310.14664 (2023) - 2022
- [c3]Sitong Wu, Tianyi Wu, Haoru Tan, Guodong Guo:
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention. AAAI 2022: 2731-2739 - [c2]Haoru Tan, Sitong Wu, Jimin Pi:
Semantic Diffusion Network for Semantic Segmentation. NeurIPS 2022 - [i2]Hai Wu, Ruifei He, Haoru Tan, Xiaojuan Qi, Kaibin Huang:
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference. CoRR abs/2212.05326 (2022) - 2021
- [c1]Haoru Tan, Chuang Wang, Sitong Wu, Tie-Qiang Wang, Xu-Yao Zhang, Cheng-Lin Liu:
Proxy Graph Matching with Proximal Matching Networks. AAAI 2021: 9808-9815 - [i1]Sitong Wu, Tianyi Wu, Haoru Tan, Guodong Guo:
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention. CoRR abs/2112.14000 (2021)
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