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Guoheng Sun
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2020 – today
- 2025
- [i8]Ziyao Wang, Yexiao He, Zheyu Shen, Yu Li, Guoheng Sun, Myungjin Lee, Ang Li:
Prada: Black-Box LLM Adaptation with Private Data on Resource-Constrained Devices. CoRR abs/2503.14932 (2025) - 2024
- [c4]Yexiao He, Ziyao Wang, Zheyu Shen, Guoheng Sun, Yucong Dai, Yongkai Wu, Hongyi Wang, Ang Li:
SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning. NeurIPS 2024 - [c3]Ziyao Wang, Zheyu Shen, Yexiao He, Guoheng Sun, Hongyi Wang, Lingjuan Lyu, Ang Li:
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations. NeurIPS 2024 - [c2]Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen:
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. NeurIPS 2024 - [i7]Yexiao He, Ziyao Wang, Zheyu Shen, Guoheng Sun, Yucong Dai, Yongkai Wu, Hongyi Wang, Ang Li:
SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning. CoRR abs/2405.00705 (2024) - [i6]Shwai He, Guoheng Sun, Zheyu Shen, Ang Li:
What Matters in Transformers? Not All Attention is Needed. CoRR abs/2406.15786 (2024) - [i5]Ziyao Wang, Zheyu Shen, Yexiao He, Guoheng Sun, Hongyi Wang, Lingjuan Lyu, Ang Li:
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations. CoRR abs/2409.05976 (2024) - [i4]Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen:
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. CoRR abs/2410.05357 (2024) - [i3]Shwai He, Tao Ge, Guoheng Sun, Bowei Tian, Xiaoyang Wang, Ang Li, Dong Yu:
Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers. CoRR abs/2410.13184 (2024) - [i2]Bowei Tian, Yexiao He, Meng Liu, Yucong Dai, Ziyao Wang, Shwai He, Guoheng Sun, Zheyu Shen, Wanghao Ye, Yongkai Wu, Ang Li:
Fair Diagnosis: Leveraging Causal Modeling to Mitigate Medical Bias. CoRR abs/2412.04739 (2024) - [i1]Bowei Tian, Ziyao Wang, Shwai He, Wanghao Ye, Guoheng Sun, Yucong Dai, Yongkai Wu, Ang Li:
Towards counterfactual fairness thorough auxiliary variables. CoRR abs/2412.04767 (2024) - 2023
- [c1]Yucheng Fu, Guoheng Sun, Han Yang, Juntian Huang, Haizhou Wang:
Fighting Attacks on Large Character Set CAPTCHAs Using Transferable Adversarial Examples. IJCNN 2023: 1-10
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