Publications
Published and accepted papers as of September 2026. Within each year, conference papers precede journal articles. Papers led by Gang Yan or listing him as senior or corresponding author appear first within each category, followed by venue prominence. See Google Scholar for citation data.
Conference Papers
2026
MaRS: Memory-Adaptive Routing for Reliable Capacity Expansion and Knowledge Retention
Gang Yan
ICLR 2026
Geometry-Aware Update Control for Robust Optimization
Yitong Ma, Mandi Li, Gang Yan
ACM KDD 2026
ANCHOR: Aligned Non-contextual and Contextual Hybridization with On-condition Calibration for Per-Base Risk Prediction
Yitong Ma, Zilin Ma, Yujie Jia, Kun Bi, Gang Yan
ACM KDD 2026
Identifiable Gated Residual Personalization for Federated Parameter-Efficient Fine-Tuning
Huimin Huang, Wenhan Hu, Gang Yan
ECCV 2026
Teacher-Space Transfer and Prototype Anchoring for Modality-Heterogeneous Federated Cross-Modal Retrieval
Zhuoqun Zhang, Keqing Fan, Gang Yan
ACM Multimedia 2026
When Geometry Becomes Unreliable: Robust Federated Aggregation via Bounded Influence
Yitong Ma, Mandi Li, Gang Yan
ACM CIKM 2026
Backdoor Poisoning Mitigation for Federated LoRA via Structural Adaptive Control
Wenhan Hu, Zhe Wang, Gang Yan
ACM CIKM 2026
Action-Aligned Frozen Credit: Storing Selected Feedback for Short-Session Contextual Bandits
Gang Yan
ACM CIKM 2026
FedRIDA: Coordinated Participation and Update Control for Time-Efficient Federated Learning
Gang Yan, Yujie Jia
IEEE/ACM IWQoS 2026
MAGNet: Multi-Adjacency Graph Network for Spatiotemporal sEMG
Yitong Ma, Peilin Liu, Junxian Li, Gang Yan
EUSIPCO 2026
Self-Awareness before Action: Mitigating Logical Inertia via Proactive Cognitive Awareness
Fulong Fan, Peilin Liu, Fengzhe Liu, Shuyan Yang, Gang Yan
ACL 2026
WPGRec: Wavelet Packet Guided Graph Enhanced Sequential Recommendation
Peilin Liu, Zhiquan Ji, Gang Yan
ACM SIGIR 2026
Phy-CoSF: Physics-Guided Continuous Spectral Fields Reconstruction and Spectral Super-Resolution for Snapshot Compressive Imaging
Wudi Chen, Zhiyuan Zha, Xin Yuan, Shigang Wang, Bihan Wen, Jiantao Zhou, Gang Yan, Zipei Fan, Ce Zhu
ICML 2026
2025
FedRACE: A Hierarchical and Statistical Framework for Robust Federated Learning
Gang Yan, Sikai Yang, Wan Du
NeurIPS 2025
FedDiAL: Adaptive Federated Learning with Hierarchical Discriminative Network for Large Pre-trained Models
Gang Yan, Wan Du
ACM KDD 2025
FedSTEP: Asynchronous and Staleness-Aware Personalization for Efficient Federated Learning
Gang Yan, Jian Li, Wan Du
ACM CIKM 2025
KaRF: Weakly-Supervised Kolmogorov-Arnold Networks-based Radiance Fields for Local Color Editing
Wudi Chen, Zhiyuan Zha, Shigang Wang, Bihan Wen, Xin Yuan, Jiantao Zhou, Zipei Fan, Gang Yan, Ce Zhu
NeurIPS 2025
2024
FedRoLA: Robust Federated Learning Against Model Poisoning via Layer-based Aggregation
Gang Yan, Hao Wang, Xu Yuan, Jian Li
ACM KDD 2024
Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates
Guojun Xiong*, Gang Yan* (co-first authors), Shiqiang Wang, Jian Li
ACM MobiHoc 2024
Enhancing Model Poisoning Attacks to Byzantine-Robust Federated Learning via Critical Learning Periods
Gang Yan, Hao Wang, Xu Yuan, Jian Li
RAID 2024
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li
AAAI 2024
2023
CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning
Gang Yan, Hao Wang, Xu Yuan, Jian Li
ACM KDD 2023
DeFL: Defending Against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness
Gang Yan, Hao Wang, Xu Yuan, Jian Li
AAAI 2023
2022
Seizing Critical Learning Periods in Federated Learning
Gang Yan, Hao Wang, Jian Li
AAAI 2022
Towards Latency Awareness for Content Delivery Network Caching
Gang Yan, Jian Li
USENIX ATC 2022
Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach
Guojun Xiong, Shufan Wang, Gang Yan, Jian Li
IEEE INFOCOM 2022
2021
Learning from Optimal Caching for Content Delivery
Gang Yan, Jian Li, Don Towsley
ACM CoNEXT 2021
2020
RL-Bélády: A Unified Learning Framework for Content Caching
Gang Yan, Jian Li
ACM Multimedia 2020
Journal Papers
2026
See Where You Read: Reading Tracking via Eye Gaze Tracking and Large Language Model
Sikai Yang, Gang Yan, Wan Du
ACM Transactions on Internet of Things
2025
Triply Laplacian Scale Mixture Modeling for Seismic Data Noise Suppression
Sirui Pan, Zhiyuan Zha, Shigang Wang, Yue Li, Zipei Fan, Gang Yan, Binh T. Nguyen, Bihan Wen, Ce Zhu
IEEE Transactions on Geoscience and Remote Sensing
Joint tensor ring decomposition and unidirectional total variation for seismic data denoising
Sirui Pan, Zhiyuan Zha, Shigang Wang, Bihan Wen, Zipei Fan, Gang Yan, Binh T. Nguyen, Yue Li
IEEE Transactions on Geoscience and Remote Sensing
2023
Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach
Guojun Xiong, Shufan Wang, Gang Yan, Jian Li
IEEE/ACM Transactions on Networking