Wang, Haozhao

36 publications

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

IJCAI 2025 DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-Sided Incomplete Information Yun Xin, Jianfeng Lu, Shuqin Cao, Gang Li, Haozhao Wang, Guanghui Wen

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 LLM at Network Edge: A Layer-Wise Efficient Federated Fine-Tuning Approach Jinglong Shen, Nan Cheng, Wenchao Xu, Haozhao Wang, Yifan Guo, Jiajie Xu

ICCV 2025 Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Xingshuo Han, Xuanye Zhang, Xiang Lan, Haozhao Wang, Shengmin Xu, Shen Ren, Jason Zeng, Ming Wu, Michael Heinrich, Tianwei Zhang

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

ICLR 2025 Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models Fushuo Huo, Wenchao Xu, Zhong Zhang, Haozhao Wang, Zhicheng Chen, Peilin Zhao

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

CVPR 2024 C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Song Guo

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 Dual Expert Distillation Network for Generalized Zero-Shot Learning Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao

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

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

AAAI 2024 Knowledge-Aware Parameter Coaching for Personalized Federated Learning Mingjian Zhi, Yuanguo Bi, Wenchao Xu, Haozhao Wang, Tianao Xiang

AAAI 2024 Non-Exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan

ECCV 2024 Overcome Modal Bias in Multi-Modal Federated Learning via Balanced Modality Selection Yunfeng Fan, Wenchao Xu, Haozhao Wang, Fushuo Huo, Jinyu Chen, Song Guo

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

AAAI 2024 ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu

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

NeurIPS 2023 Aligning Language Models with Human Preferences via a Bayesian Approach Jiashuo Wang, Haozhao Wang, Shichao Sun, Wenjie Li

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

CVPR 2023 PMR: Prototypical Modal Rebalance for Multimodal Learning Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junxiao Wang, Song Guo

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

NeurIPS 2021 Parameterized Knowledge Transfer for Personalized Federated Learning Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu