QY
Qiang Yang
cs.LGcs.AIcs.CRstat.MLcs.CLcs.DCcs.CVcs.IRAlgorithmsArtificial Intelligence
On Valency
published · living versionsW_xtssd8uw·v1 · currentpublished
Finding Is Not Returning, Returning Is Not Reconstructing: A Multi-Dimensional Evaluation of Agent Social Re-entry
with Sheng Wan, Cong Ma, Sichen Dong, Qian'Ang Mao +2
1 version
Preprints & journals
225 papers in the corpus · 2004–2026Robust Personalized Federated Continual Learning via Explainable Multi-Granularity Prompt.42424204 · Yu, Hao, Yang, Xin, Fan, Boyang et al.2026 · 0 citationsIEEE transactions on pattern analysis and machine intelligence. 2026;48(11):13984-14001
FedAdOb: Privacy-Preserving Federated Deep Learning With Adaptive Obfuscation.42555323 · Gu, Hanlin, Luo, Jiahuan, Kang, Yan et al.2026 · 0 citationsIEEE transactions on pattern analysis and machine intelligence. 2026;48(11):13959-13971
Decouple, Purify and Unite: Semantic-Structural Prototype Learning for Federated Medical Segmentation2610.04700v1 · Xingyue Zhao, Wenke Huang, Linghao Zhuang et al.2026 · 0 citationsarXiv
Federated Agent Optimization2610.01195v1 · Qiang Yang, Zhiqiang Kou, Xueyi Zhang et al.2026 · 0 citationsarXiv
Federated Clustering: An Overview of Algorithm Evolution and Research Prospects.42258693 · Ding, Shifei, Li, Chao, Guo, Lili et al.2026 · 0 citationsIEEE transactions on pattern analysis and machine intelligence. 2026;48(10):12816-12835
Robust Bidding Strategies under Censored Feedback for Auction-Based Federated Learning.42771614 · Tang, Xiaoli, Tang, Ying-Peng, Qi, Zhuang et al.2026 · 0 citationsIEEE transactions on pattern analysis and machine intelligence. 2026;PP
A Trust-Network-Based Federated Learning Framework for Multi-Center Aging Clock Prediction2609.10108v1 · Chunxu Zhang, Bo Li, Wenliang Wang et al.2026 · 0 citationsarXivon Valency
Federated Foundation Models Fine-Tuning with Heterogeneous Compressed Clients2607.29071v1 · Shengkun Zhu, Jinshan Zeng, Zhihua Allen-Zhao et al.2026 · 0 citationsarXiv
A Survey on Federated Causal Discovery and Inference2606.23741v1 · Xianjie Guo, Yuwei Wang, Guodu Xiang et al.2026 · 0 citationsarXiv
Quantifying and Defending against the Privacy Risk in Logit-based Federated Learning2606.08252v2 · Sheng Wan, Dashan Gao, Hanlin Gu et al.2026 · 0 citationsarXiv
A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era.42096352 · Li, Zongru, Chen, Xingsheng, Wen, Honggang et al.2026 · 8 citationsJournal of chemical theory and computation. 2026;22(10):4866-4887
FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning2604.28024v1 · Zhiqiang Kou, Junxiang Wu, Wenke Huang et al.2026 · 0 citationsarXiv
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion2604.19015v1 · Tao Fan, Guoqiang Ma, Yuanfeng Song et al.2026 · 1 citationarXiv
FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Client2602.12014v1 · Gongxi Zhu, Hanlin Gu, Lixin Fan et al.2026 · 0 citationsarXiv
Rethinking LoRA for Data Heterogeneous Federated Learning: Subspace and State Alignment2602.01746v1 · Hongyi Peng, Han Yu, Xiaoxiao Li et al.2026 · 0 citationsarXiv
Deciphering the Interplay between Attack and Protection Complexity in Privacy-Preserving Federated Learning2508.11907v1 · Xiaojin Zhang, Mingcong Xu, Yiming Li et al.2025 · 0 citationsarXiv
Large-Small Model Collaborative Framework for Federated Continual Learning2508.09489v1 · Hao Yu, Xin Yang, Boyang Fan et al.2025 · 0 citationsarXiv
Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models2508.08875v2 · Fuyao Zhang, Xinyu Yan, Tiantong Wu et al.2025 · 1 citationarXiv
FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective2508.09174v1 · Zhekai Zhou, Shudong Liu, Zhaokun Zhou et al.2025 · 0 citationsarXiv
Advancing Financial Engineering with Foundation Models: Progress, Applications, and Challenges2507.18577v2 · Liyuan Chen, Shuoling Liu, Jiangpeng Yan et al.2025 · 3 citationsarXiv
HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark2506.03954v1 · Jianqing Zhang, Xinghao Wu, Yanbing Zhou et al.2025 · 5 citationsarXiv
PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs2506.05407v1 · Jianqing Zhang, Yang Liu, Jie Fu et al.2025 · 0 citationsarXiv
INFERENCEDYNAMICS: Efficient Routing Across LLMs through Structured Capability and Knowledge Profiling2505.16303v1 · Haochen Shi, Tianshi Zheng, Weiqi Wang et al.2025 · 0 citationsarXiv
Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study2505.07313v2 · Baixuan Xu, Chunyang Li, Weiqi Wang et al.2025 · 0 citationsarXiv
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks2504.17421v2 · Yang Liu, Kejia Zhang, Bingjie Yan et al.2025 · 0 citationsarXiv
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems2504.01990v2 · Bang Liu, Xinfeng Li, Jiayi Zhang et al.2025 · 16 citationsarXiv
Personalized Recommendation Models in Federated Settings: A Survey2504.07101v1 · Chunxu Zhang, Guodong Long, Zijian Zhang et al.2025 · 9 citationsarXiv
Noise May Contain Transferable Knowledge: Understanding Semi-supervised Heterogeneous Domain Adaptation from an Empirical Perspective2502.13573v1 · Yuan Yao, Xiaopu Zhang, Yu Zhang et al.2025 · 0 citationsarXiv
Ten Challenging Problems in Federated Foundation Models2502.12176v1 · Tao Fan, Hanlin Gu, Xuemei Cao et al.2025 · 39 citationsarXiv
Gradual Domain Adaptation for Graph Learning2501.17443v4 · Pui Ieng Lei, Ximing Chen, Yijun Sheng et al.2025 · 0 citationsarXiv
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor2412.18355v2 · Hao Yu, Xin Yang, Le Zhang et al.2024 · 11 citationsarXiv
A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions2412.12836v2 · Yuyuan Li, Xiaohua Feng, Chaochao Chen et al.2024 · 9 citationsarXiv
Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation2412.01141v1 · Guowei Wu, Weike Pan, Qiang Yang et al.2024 · 0 citationsarXiv
A Versatile Framework for Unsupervised Domain Adaptation based on Instance Weighting.40030266 · Zhu, Jinjing, Ye, Feiyang, Xiao, Qiao et al.2025 · 12 citationsIEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2024;PP
Federated Learning for Predicting Postoperative Remission of Patients with Acromegaly: A Multicentered Study.39486577 · Zhang, Wentai, Wu, Xueyang, Wang, He et al.2025 · 9 citationsWorld neurosurgery. 2025;193:1036-1046
Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment2411.13599v2 · Shuoling Liu, Gaoguo Jia, Yuhang Jiang et al.2024 · 0 citationsarXiv
Federated Co-tuning Framework for Large and Small Language Models2411.11707v3 · Tao Fan, Yan Kang, Guoqiang Ma et al.2024 · 0 citationsarXiv
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark.38917282 · Huang, Wenke, Ye, Mang, Shi, Zekun et al.2024 · 241 citationsIEEE transactions on pattern analysis and machine intelligence. 2024;46(12):9387-9406
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models2410.20745v2 · Yilun Jin, Zheng Li, Chenwei Zhang et al.2024 · 7 citationsarXiv
Beyond Right to be Forgotten: Managing Heterogeneity Side Effects Through Strategic Incentives2410.15045v3 · Jiaqi Shao, Tao Lin, Xiaojin Zhang et al.2024 · 0 citationsarXiv
Disentangling data distribution for Federated Learning2410.12530v2 · Xinyuan Zhao, Hanlin Gu, Lixin Fan et al.2024 · 0 citationsarXiv
Model-based Large Language Model Customization as Service2410.10481v5 · Zhaomin Wu, Jizhou Guo, Junyi Hou et al.2024 · 0 citationsProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (2025)
Federated Vision-Language-Recommendation with Personalized Fusion2410.08478v4 · Zhiwei Li, Guodong Long, Jing Jiang et al.2024 · 1 citationarXiv
Adaptive Guidance for Local Training in Heterogeneous Federated Learning2410.06490v3 · Jianqing Zhang, Yang Liu, Yang Hua et al.2024 · 0 citationsarXiv
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning2409.01128v2 · Jinglin Liang, Jin Zhong, Hanlin Gu et al.2024 · 23 citationsarXiv
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders.38466598 · Gu, Hanlin, Fan, Lixin, Tang, XingXing et al.2024 · 5 citationsIEEE transactions on pattern analysis and machine intelligence. 2024;46(9):5905-5920
Mitigating Data Reconstruction Attacks in Federated Learning: Conditions, Bounds, and Theoretical Guarantees2407.16735v2 · Xiaojin Zhang, Mingcong Xu, Wei Chen et al.2024 · 1 citationarXiv
Privacy and Robustness in Federated Learning: Attacks and Defenses.36355741 · Lyu, Lingjuan, Yu, Han, Ma, Xingjun et al.2024 · 545 citationsIEEE transactions on neural networks and learning systems. 2024;35(7):8726-8746
Beyond Scaleup: Knowledge-aware Parsimony Learning from Deep Networks2407.00478v3 · Quanming Yao, Yongqi Zhang, Yaqing Wang et al.2024 · 1 citationarXiv
FedCoT: Federated Chain-of-Thought Distillation for Large Language Models2406.12403v2 · Tao Fan, Weijing Chen, Yan Kang et al.2024 · 3 citationsarXiv
Career total: 1149 works. 225 are in this corpus.Showing the 50 most recent.
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