Yizhe Xiong

According to our database, Yizhe Xiong authored at least 22 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models.

Jiahuan Long, Tingsong Jiang, Wen Yao, Yizhe Xiong, Zhengqin Xu, Shuai Jia, Hanqing Liu, Chao Ma

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation.

Yizhe Xiong, Zihan Zhou, Yiwen Liang, Hui Chen, Zijia Lin, Tianxiang Hao, Fan Zhang, Jungong Han, Guiguang Ding

CoRR, August, 2025

Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models.

Jiahuan Long, Tingsong Jiang, Wen Yao, Yizhe Xiong, Zhengqin Xu, Shuai Jia, Chao Ma

CoRR, April, 2025

Finedeep: Mitigating Sparse Activation in Dense LLMs via Multi-Layer Fine-Grained Experts.

Leiyu Pan, Zhenpeng Su, Minxuan Lv, Yizhe Xiong, Xiangwen Zhang, Zijia Lin, Hui Chen, Jungong Han, Guiguang Ding, Cheng Luo, Di Zhang, Kun Gai, Deyi Xiong

CoRR, February, 2025

DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs.

Minxuan Lv, Zhenpeng Su, Leiyu Pan, Yizhe Xiong, Zijia Lin, Hui Chen, Wei Zhou, Jungong Han, Guiguang Ding, Cheng Luo, Di Zhang, Kun Gai, Songlin Hu

CoRR, February, 2025

UniAttn: Reducing Inference Costs via Softmax Unification for Post-Training LLMs.

Yizhe Xiong, Wei Huang, Xin Ye, Hui Chen, Zijia Lin, Haoran Lian, Zhenpeng Su, Jungong Han, Guiguang Ding

CoRR, February, 2025

Cross-Modality Prompts: Few-Shot Multi-Label Recognition With Single-Label Training.

Zixuan Ding, Zihan Zhou, Hui Chen, Tianxiang Hao, Yizhe Xiong, Sicheng Zhao, Qiang Zhang, Jungong Han

IEEE Trans. Multim., 2025

Mitigating Hallucinations in Multi-modal Large Language Models via Image Token Attention-Guided Decoding.

Xinhao Xu, Hui Chen, Mengyao Lyu, Sicheng Zhao, Yizhe Xiong, Zijia Lin, Jungong Han, Guiguang Ding

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts.

Zhenpeng Su, Xing Wu, Zijia Lin, Yizhe Xiong, Minxuan Lv, Guangyuan Ma, Hui Chen, Songlin Hu, Guiguang Ding

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Advancing Reliable Test-Time Adaptation of Vision-Language Models under Visual Variations.

Yiwen Liang, Hui Chen, Yizhe Xiong, Zihan Zhou, Mengyao Lyu, Zijia Lin, Shuaicheng Niu, Sicheng Zhao, Jungong Han, Guiguang Ding

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

LBPE: Long-token-first Tokenization to Improve Large Language Models.

Haoran Lian, Yizhe Xiong, Zijia Lin, Jianwei Niu, Shasha Mo, Hui Chen, Peng Liu, Guiguang Ding

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Temporal Scaling Law for Large Language Models.

Yizhe Xiong, Xiansheng Chen, Xin Ye, Hui Chen, Zijia Lin, Haoran Lian, Zhenpeng Su, Wei Huang, Jianwei Niu, Jungong Han, Guiguang Ding

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs.

Minxuan Lv, Zhenpeng Su, Leiyu Pan, Yizhe Xiong, Zijia Lin, Hui Chen, Wei Zhou, Jungong Han, Guiguang Ding, Wenwu Ou, Di Zhang, Kun Gai, Songlin Hu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Fast Quiet-STaR: Thinking Without Thought Tokens.

Wei Huang, Yizhe Xiong, Xin Ye, Zhijie Deng, Hui Chen, Zijia Lin, Guiguang Ding

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models.

Haoran Lian, Junmin Chen, Wei Huang, Yizhe Xiong, Wenping Hu, Guiguang Ding, Hui Chen, Jianwei Niu, Zijia Lin, Fuzheng Zhang, Di Zhang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal.

Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su, Zijia Lin, Hui Chen, Jungong Han, Guiguang Ding

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey.

Liang Chen, Zekun Wang, Shuhuai Ren, Lei Li, Haozhe Zhao, Yunshui Li, Zefan Cai, Hongcheng Guo, Lei Zhang, Yizhe Xiong, Yichi Zhang, Ruoyu Wu, Qingxiu Dong, Ge Zhang, Jian Yang, Lingwei Meng, Shujie Hu, Yulong Chen, Junyang Lin, Shuai Bai, Andreas Vlachos, Xu Tan, Minjia Zhang, Wen Xiao, Aaron Yee, Tianyu Liu, Baobao Chang

CoRR, 2024

MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts.

Zhenpeng Su, Zijia Lin, Xue Bai, Xing Wu, Yizhe Xiong, Haoran Lian, Guangyuan Ma, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu

CoRR, 2024

Scaffold-BPE: Enhancing Byte Pair Encoding with Simple and Effective Scaffold Token Removal.

Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su, Zijia Lin, Peng Liu, Hui Chen, Guiguang Ding

CoRR, 2024

Temporal Scaling Law for Large Language Models.

Yizhe Xiong, Xiansheng Chen, Xin Ye, Hui Chen, Zijia Lin, Haoran Lian, Jianwei Niu, Guiguang Ding

CoRR, 2024

PYRA: Parallel Yielding Re-activation for Training-Inference Efficient Task Adaptation.

Yizhe Xiong, Hui Chen, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation.

Yizhe Xiong, Hui Chen, Zijia Lin, Sicheng Zhao, Guiguang Ding

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023