Publications

Yue Xin, Yaoming Wang, Wenrui Dai, Jiarui Zhang, Chenglin Li, Junni Zou, Hongkai Xiong (2025). SCOT: Disentangled Controllable Generation via Side-Tuning Orthogonalized ControlNet. ICCV 2025.

Yue Xin, Chen Shen, Shaotian Yan, Yaoming Wang, Xiaosong Yuan, Chenxi Huang, Jieping Ye (2025). SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning. ACL 2025.

Chenxi Huang, Liang Xie, Chen Shen, Shaotian Yan, Sinan Fan, Yue Xin, Binbin Lin, Deng Cai, Jieping Ye (2025). Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning. ACL 2025.

Yue Xin, Yaoming Wang, Wenrui Dai, Jiarui Zhang, Chenglin Li, Junni Zou, Hongkai Xiong (2025). RST: Residual Side Tuning with Cross-Layer Correlation for Parameter Efficient Transfer Learning. ICML 2025.

Jiarui Zhang, Yaoming Wang, Yue Xin, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong (2025). Bootstrap Prompt Learning with Feature Adaptation for Vision-Language Efficient Tuning. ICML 2025.

Jiarui Zhang, Yue Xin, Yaoming Wang, Ziyang Zheng, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong (2024). GLEAM: Global Share Local Transform MoE for Downstream Transferring With Enhanced Parameter Efficiency. ICME 2025.

Yue Xin, Jiarui Zhang, Ziyang Zheng, Yaoming Wang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong (2024). ChebHiPoly: Hierarchical Chebyshev Polynomial Modules for Enhanced Approximation and Optimization. ICME 2025.

Qihan Ren, Yang Xu, Junpeng Zhang, Yue Xin, Dongrui Liu, Quanshi Zhang (2022). Towards the Dynamics of a DNN Learning Symbolic Interactions. NeurIPS 2024.

Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Jie Ren, Quanshi Zhang (2022). Clarifying the Behavior and the Difficulty of Adversarial Training. AAAI 2024.