Chongjie Si

According to our database, Chongjie Si authored at least 21 papers between 2023 and 2026.

Collaborative distances:

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

2026

Task-Specific Directions: Definition, Exploration, and Utilization in Parameter Efficient Fine-Tuning.

Chongjie Si, Zhiyi Shi, Shifan Zhang, Xiaokang Yang, Hanspeter Pfister, Wei Shen

IEEE Trans. Pattern Anal. Mach. Intell., June, 2026

FlexLoRA: Entropy-Guided Flexible Low-Rank Adaptation.

Muqing Liu, Chongjie Si, Yuheng Jia

CoRR, January, 2026

2025

AdaMuon: Adaptive Muon Optimizer.

Chongjie Si, Debing Zhang, Wei Shen

CoRR, July, 2025

DualEdit: Dual Editing for Knowledge Updating in Vision-Language Models.

Zhiyi Shi, Binjie Wang, Chongjie Si, Yichen Wu, Junsik Kim, Hanspeter Pfister

CoRR, June, 2025

Weight Spectra Induced Efficient Model Adaptation.

Chongjie Si, Xuankun Yang, Muqing Liu, Yadao Wang, Xiaokang Yang, Wenbo Su, Bo Zheng, Wei Shen

CoRR, May, 2025

MAP: Revisiting Weight Decomposition for Low-Rank Adaptation.

Chongjie Si, Zhiyi Shi, Yadao Wang, Xiaokang Yang, Susanto Rahardja, Wei Shen

CoRR, May, 2025

Revisiting Sparsity Constraint Under High-Rank Property in Partial Multi-Label Learning.

Chongjie Si, Yidan Cui, Fuchao Yang, Xiaokang Yang, Wei Shen

CoRR, May, 2025

Co-Reinforcement Learning for Unified Multimodal Understanding and Generation.

Jingjing Jiang, Chongjie Si, Jun Luo, Hanwang Zhang, Chao Ma

CoRR, May, 2025

Why Can Accurate Models Be Learned from Inaccurate Annotations?

Chongjie Si, Yidan Cui, Fuchao Yang, Xiaokang Yang, Wei Shen

CoRR, May, 2025

NAN: A Training-Free Solution to Coefficient Estimation in Model Merging.

Chongjie Si, Kangtao Lv, Jingjing Jiang, Yadao Wang, Yongwei Wang, Xiaokang Yang, Wenbo Su, Bo Zheng, Wei Shen

CoRR, May, 2025

Unveiling the Mystery of Weight in Large Foundation Models: Gaussian Distribution Never Fades.

Chongjie Si, Jingjing Jiang, Wei Shen

CoRR, January, 2025

OPMapper: Enhancing Open-Vocabulary Semantic Segmentation with Multi-Guidance Information.

Xuehui Wang, Chongjie Si, Xue Yang, Yuzhi Zhao, Wenhai Wang, Xiaokang Yang, Wei Shen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning.

Chongjie Si, Xuehui Wang, Xue Yang, Zhengqin Xu, Qingyun Li, Jifeng Dai, Yu Qiao, Xiaokang Yang, Wei Shen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning.

Chongjie Si, Zhiyi Shi, Shifan Zhang, Xiaokang Yang, Hanspeter Pfister, Wei Shen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Generalized Tensor-Based Parameter-Efficient Fine-Tuning via Lie Group Transformations.

Chongjie Si, Zhiyi Shi, Xuehui Wang, Yichen Xiao, Xiaokang Yang, Wei Shen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Multi-Label Classification With High-Rank and High-Order Label Correlations.

Chongjie Si, Yuheng Jia, Ran Wang, Min-Ling Zhang, Yanghe Feng, Chongxiao Qu

IEEE Trans. Knowl. Data Eng., 2024

See Further for Parameter Efficient Fine-tuning by Standing on the Shoulders of Decomposition.

Chongjie Si, Xiaokang Yang, Wei Shen

CoRR, 2024

FLoRA: Low-Rank Core Space for N-dimension.

Chongjie Si, Xuehui Wang, Xue Yang, Zhengqin Xu, Qingyun Li, Jifeng Dai, Yu Qiao, Xiaokang Yang, Wei Shen

CoRR, 2024

Tendency-Driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation.

Chongjie Si, Xuehui Wang, Xiaokang Yang, Wei Shen

Proceedings of the Computer Vision - ECCV 2024, 2024

Partial Label Learning with a Partner.

Chongjie Si, Zekun Jiang, Xuehui Wang, Yan Wang, Xiaokang Yang, Wei Shen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Complementary Classifier Induced Partial Label Learning.

Yuheng Jia, Chongjie Si, Min-Ling Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023