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ORCIDJinluan Yang
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2020 – today
- 2025
[c4]Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu:
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace. ICLR 2025- [c3]Didi Zhu, Yibing Song, Tao Shen, Ziyu Zhao, Jinluan Yang, Min Zhang, Chao Wu:
REMEDY: Recipe Merging Dynamics in Large Vision-Language Models. ICLR 2025 - [c2]Jinluan Yang
, Zhengyu Chen, Teng Xiao, Yong Lin, Wenqiao Zhang, Kun Kuang:
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts. WWW 2025: 1196-1204 - [i9]Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang:
Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging. CoRR abs/2502.06876 (2025) - [i8]Haotian Luo, Haiying He, Yibo Wang, Jinluan Yang, Rui Liu, Naiqiang Tan, Xiaochun Cao, Dacheng Tao, Li Shen:
AdaR1: From Long-CoT to Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization. CoRR abs/2504.21659 (2025) - [i7]Chuxue Cao, Mengze Li, Juntao Dai, Jinluan Yang, Zijian Zhao, Shengyu Zhang, Weijie Shi, Chengzhong Liu, Sirui Han, Yike Guo:
Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving. CoRR abs/2506.17104 (2025) - [i6]Jinluan Yang, Ruihao Zhang, Zhengyu Chen, Fei Wu, Kun Kuang:
Unifying Adversarial Perturbation for Graph Neural Networks. CoRR abs/2509.00387 (2025) - [i5]Zhengyu Chen, Jinluan Yang, Teng Xiao, Ruochen Zhou, Luan Zhang, Xiangyu Xi, Xiaowei Shi, Wei Wang, Jinggang Wang:
Can Tool-Integrated Reinforcement Learning Generalize Across Diverse Domains? CoRR abs/2510.11184 (2025) - [i4]Yunze Tong, Didi Zhu, Zijing Hu, Jinluan Yang, Ziyu Zhao:
Noise Projection: Closing the Prompt-Agnostic Gap Behind Text-to-Image Misalignment in Diffusion Models. CoRR abs/2510.14526 (2025) - 2024
- [c1]Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu:
Learning to Reweight for Generalizable Graph Neural Network. AAAI 2024: 8320-8328 - [i3]Jinluan Yang, Zhengyu Chen, Teng Xiao, Wenqiao Zhang, Yong Lin, Kun Kuang:
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts. CoRR abs/2408.09490 (2024) - [i2]Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu:
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace. CoRR abs/2410.13910 (2024) - 2023
- [i1]Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu:
Learning to Reweight for Graph Neural Network. CoRR abs/2312.12475 (2023)
Coauthor Index
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