Learning to Reweight for Graph Neural Network. - Zhengyu Chen 001; Teng Xiao; Kun Kuang; Zheqi Lv; Min Zhang 005; Jinluan Yang; Chengqiang Lu; Hongxia Yang; Fei Wu 001 (CoRR, 2023)

Learning to Reweight for Generalizable Graph Neural Network. - Zhengyu Chen 001; Teng Xiao; Kun Kuang; Zheqi Lv; Min Zhang 005; Jinluan Yang; Chengqiang Lu; Hongxia Yang; Fei Wu 001 (AAAI, 2024)

Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace. - Jinluan Yang; Anke Tang; Didi Zhu; Zhengyu Chen 001; Li Shen 008; Fei Wu 001 (CoRR, 2024)

Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace. - Jinluan Yang; Anke Tang; Didi Zhu; Zhengyu Chen; Li Shen; Fei Wu (ICLR, 2025)

REMEDY: Recipe Merging Dynamics in Large Vision-Language Models. - Didi Zhu; Yibing Song; Tao Shen 002; Ziyu Zhao 001; Jinluan Yang; Min Zhang 005; Chao Wu 001 (ICLR, 2025)

Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts. - Jinluan Yang; Zhengyu Chen 001; Teng Xiao; Yong Lin; Wenqiao Zhang; Kun Kuang (WWW, 2025)

Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging. - Jinluan Yang; Dingnan Jin; Anke Tang; Li Shen 008; Didi Zhu; Zhengyu Chen 001; Daixin Wang; Qing Cui; Zhiqiang Zhang 012; Jun Zhou 011; Fei Wu 001; Kun Kuang (CoRR, 2025)

AdaR1: From Long-CoT to Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization. - Haotian Luo; Haiying He; Yibo Wang; Jinluan Yang; Rui Liu; Naiqiang Tan; Xiaochun Cao; Dacheng Tao; Li Shen 008 (CoRR, 2025)

Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving. - Chuxue Cao; Mengze Li 001; Juntao Dai; Jinluan Yang; Zijian Zhao 002; Shengyu Zhang 001; Weijie Shi; Chengzhong Liu; Sirui Han; Yike Guo (CoRR, 2025)