Li, Ruixuan

43 publications

ICML 2025 Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation Jintao Tong, Ran Ma, Yixiong Zou, Guangyao Chen, Yuhua Li, Ruixuan Li

ICML 2025 Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li

ICML 2025 BSemiFL: Semi-Supervised Federated Learning via a Bayesian Approach Haozhao Wang, Shengyu Wang, Jiaming Li, Hao Ren, Xingshuo Han, Wenchao Xu, Shangwei Guo, Tianwei Zhang, Ruixuan Li

NeurIPS 2025 Beyond Higher Rank: Token-Wise Input-Output Projections for Efficient Low-Rank Adaptation Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Xiuqiang He, Ruixuan Li

ICML 2025 Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics Shiwei Li, Xiandi Luo, Xing Tang, Haozhao Wang, Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li

ICLR 2025 Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Zhigang Zeng, Ruixuan Li

NeurIPS 2025 ChatbotID: Identifying Chatbots with Granger Causality Test Xiaoquan Yi, Haozhao Wang, Yining Qi, Wenchao Xu, Rui Zhang, Yuhua Li, Ruixuan Li

NeurIPS 2025 Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem Yichen Li, Yijing Shan, Yi Liu, Haozhao Wang, Cheng Wang, Wangshi.Ww, Yi Wang, Ruixuan Li

NeurIPS 2025 Enhancing Privacy in Multimodal Federated Learning with Information Theory Tianzhe Xiao, Yichen Li, Yining Qi, Yi Liu, Wangshi.Ww, Haozhao Wang, Yi Wang, Ruixuan Li

NeurIPS 2025 Feature Distillation Is the Better Choice for Model-Heterogeneous Federated Learning Yichen Li, Xiuying Wang, Wenchao Xu, Haozhao Wang, Yining Qi, Jiahua Dong, Ruixuan Li

ECML-PKDD 2025 FedRNL: Federated Rationalization with Soft Parameter Sharing Lingxiao Kong, Jiahui Jiang, Haozhao Wang, Lei Wu, Ruixuan Li

ICML 2025 FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Yichen Li, Yuying Wang, Haozhao Wang, Yining Qi, Tianzhe Xiao, Ruixuan Li

NeurIPS 2025 FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models Jintao Tong, Wenwei Jin, Pengda Qin, Anqi Li, Yixiong Zou, Yuhong Li, Yuhua Li, Ruixuan Li

NeurIPS 2025 Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization Yang Qiu, Yixiong Zou, Jun Wang, Wei Liu, Xiangyu Fu, Ruixuan Li

ICML 2025 Random Registers for Cross-Domain Few-Shot Learning Shuai Yi, Yixiong Zou, Yuhua Li, Ruixuan Li

AAAI 2025 Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning Ran Ma, Yixiong Zou, Yuhua Li, Ruixuan Li

NeurIPS 2025 Resource-Constrained Federated Continual Learning: What Does Matter? Yichen Li, Yuying Wang, Jiahua Dong, Haozhao Wang, Yining Qi, Rui Zhang, Ruixuan Li

ICML 2025 Revisiting Continuity of Image Tokens for Cross-Domain Few-Shot Learning Shuai Yi, Yixiong Zou, Yuhua Li, Ruixuan Li

ICCV 2025 Revisiting Pool-Based Prompt Learning for Few-Shot Class-Incremental Learning Yongwei Jiang, Yixiong Zou, Yuhua Li, Ruixuan Li

ICML 2025 Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation Jintao Tong, Yixiong Zou, Guangyao Chen, Yuhua Li, Ruixuan Li

CVPR 2025 The Devil Is in Low-Level Features for Cross-Domain Few-Shot Segmentation Yuhan Liu, Yixiong Zou, Yuhua Li, Ruixuan Li

ICML 2025 The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li

NeurIPS 2024 A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning Yixiong Zou, Shuai Yi, Yuhua Li, Ruixuan Li

NeurIPS 2024 Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning Yixiong Zou, Ran Ma, Yuhua Li, Ruixuan Li

ICML 2024 Compositional Few-Shot Class-Incremental Learning Yixiong Zou, Shanghang Zhang, Haichen Zhou, Yuhua Li, Ruixuan Li

AAAI 2024 Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li

IJCAI 2024 Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning Haichen Zhou, Yixiong Zou, Ruixuan Li, Yuhua Li, Kui Xiao

ICML 2024 FedBAT: Communication-Efficient Federated Learning via Learnable Binarization Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li

ICLR 2024 FedCDA: Federated Learning with Cross-Rounds Divergence-Aware Aggregation Haozhao Wang, Haoran Xu, Yichen Li, Yuan Xu, Ruixuan Li, Tianwei Zhang

CVPR 2024 Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning Yixiong Zou, Yicong Liu, Yiman Hu, Yuhua Li, Ruixuan Li

NeurIPS 2024 Generate Universal Adversarial Perturbations for Few-Shot Learning Yiman Hu, Yixiong Zou, Ruixuan Li, Yuhua Li

NeurIPS 2024 Is the MMI Criterion Necessary for Interpretability? Degenerating Non-Causal Features to Plain Noise for Self-Rationalization Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li

NeurIPS 2024 Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation Jintao Tong, Yixiong Zou, Yuhua Li, Ruixuan Li

ECCV 2024 Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching Yichen Li, Wenchao Xu, Haozhao Wang, Yining Qi, Jingcai Guo, Ruixuan Li

CVPR 2024 Towards Efficient Replay in Federated Incremental Learning Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang

AAAI 2023 Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li

IJCAI 2023 CSGCL: Community-Strength-Enhanced Graph Contrastive Learning Han Chen, Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang

NeurIPS 2023 D-Separation for Causal Self-Explanation Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, YuanKai Zhang, Yang Qiu

CVPR 2023 DaFKD: Domain-Aware Federated Knowledge Distillation Haozhao Wang, Yichen Li, Wenchao Xu, Ruixuan Li, Yufeng Zhan, Zhigang Zeng

ECML-PKDD 2023 Decompose, Then Reconstruct: A Framework of Network Structures for Click-Through Rate Prediction Jiaming Li, Lang Lang, Zhenlong Zhu, Haozhao Wang, Ruixuan Li, Wenchao Xu

NeurIPS 2022 FR: Folded Rationalization with a Unified Encoder Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, YuanKai Zhang

NeurIPS 2022 Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation Yixiong Zou, Shanghang Zhang, Yuhua Li, Ruixuan Li

JAIR 2019 Polynomial and Exponential Bounded Logic Programs with Function Symbols: Some New Decidable Classes Vernon Asuncion, Yan Zhang, Heng Zhang, Ruixuan Li