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Changdi Yang
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2020 – today
- 2024
- [c5]Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang:
Rethinking Token Reduction for State Space Models. EMNLP 2024: 1686-1697 - [i4]Xuan Shen, Zhenglun Kong, Changdi Yang, Zhaoyang Han, Lei Lu, Peiyan Dong, Cheng Lyu, Chih-hsiang Li, Xuehang Guo, Zhihao Shu, Wei Niu, Miriam Leeser, Pu Zhao, Yanzhi Wang:
EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge. CoRR abs/2402.10787 (2024) - [i3]Zichong Meng, Jie Zhang, Changdi Yang, Zheng Zhan, Pu Zhao, Yanzhi Wang:
DiffClass: Diffusion-Based Class Incremental Learning. CoRR abs/2403.05016 (2024) - [i2]Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, Yanzhi Wang:
InstructGIE: Towards Generalizable Image Editing. CoRR abs/2403.05018 (2024) - [i1]Jun Liu, Chao Wu, Changdi Yang, Hao Tang, Haoye Dong, Zhenglun Kong, Geng Yuan, Wei Niu, Dong Huang, Yanzhi Wang:
Efficient Pruning of Large Language Model with Adaptive Estimation Fusion. CoRR abs/2403.10799 (2024) - 2023
- [c4]Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang:
Towards Real-Time Segmentation on the Edge. AAAI 2023: 1468-1476 - [c3]Changdi Yang, Pu Zhao, Yanyu Li, Wei Niu
, Jiexiong Guan, Hao Tang, Minghai Qin, Bin Ren, Xue Lin, Yanzhi Wang:
Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge. CVPR 2023: 15402-15412 - [c2]Changdi Yang, Yi Sheng, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin:
Late Breaking Results: Fast Fair Medical Applications? Hybrid Vision Models Achieve the Fairness on the Edge. DAC 2023: 1-2 - [c1]Changdi Yang, Yi Sheng, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin, Yanzhi Wang:
Fast and Fair Medical AI on the Edge Through Neural Architecture Search for Hybrid Vision Models. ICCAD 2023: 1-9
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