Tao Shen

29 papers A* 5Journal 21Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — conf
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-task Learning.
KDD (1)
Ziyu Zhao, Yixiao Zhou, Xin Yu, Zhi Zhang, Didi Zhu, Tao Shen, Zexi Li, Jinluan Yang, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng
2026 J jnl
Improving Model Fusion by Training-Time Neuron Alignment With Fixed Neuron Anchors.
IEEE Trans. Pattern Anal. Mach. Intell.
Zexi Li, Zhiqi Li, Jie Lin, Tao Shen, Jun Xiao, Yike Guo, Tao Lin, Chao Wu
2026 J jnl
Watch Wider and Think Deeper: Collaborative Cross-modal Chain-of-Thought for Complex Visual Reasoning.
CoRR
Wenting Lu, Didi Zhu, Tao Shen, Donglin Zhu, Ayong Ye, Chao Wu
2025 J jnl
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning.
CoRR
Ziyu Zhao, Yixiao Zhou, Didi Zhu, Tao Shen, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng
2025 A* conf
FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning.
AAAI
Zhonghua Jiang, Jimin Xu, Shengyu Zhang, Tao Shen, Jiwei Li, Kun Kuang, Haibin Cai, Fei Wu
2025 J jnl
FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning.
CoRR
Tao Shen, Zexi Li, Didi Zhu, Ziyu Zhao, Chao Wu, Fei Wu
2025 — conf
FedGuCci: Making Local Models More Connected in Landscape for Federated Learning.
KDD (2)
Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Tao Shen, Tao Lin, Chao Wu, Nicholas D. Lane
2025 J jnl
FedMcon: an adaptive aggregation method for federated learning via meta controller.
Frontiers Inf. Technol. Electron. Eng.
Tao Shen, Zexi Li, Ziyu Zhao, Didi Zhu, Zheqi Lv, Kun Kuang, Shengyu Zhang, Chao Wu, Fei Wu
2025 J jnl
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models.
CoRR
Yan Gao, Massimo Roberto Scamarcia, Javier Fernández-Marqués, Mohammad Naseri, Chong Shen Ng, Dimitris Stripelis, Zexi Li, Tao Shen, Jiamu Bai, Daoyuan Chen, Zikai Zhang, Rui Hu, Inseo Song, KangYoon Lee, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel J. Beutel, Lingjuan Lyu, Nicholas D. Lane
2025 A* conf
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering.
ICLR
Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Fei Wu
2025 A* conf
REMEDY: Recipe Merging Dynamics in Large Vision-Language Models.
ICLR
Didi Zhu, Yibing Song, Tao Shen, Ziyu Zhao, Jinluan Yang, Min Zhang, Chao Wu
2025 J jnl
Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices.
CoRR
Tao Shen, Didi Zhu, Ziyu Zhao, Chao Wu, Fei Wu
2024 — conf
An Adaptive Aggregation Method for Federated Learning via Meta Controller.
MMAsia Workshops
Tao Shen, Zexi Li, Ziyu Zhao, Didi Zhu, Zheqi Lv, Shengyu Zhang, Kun Kuang, Fei Wu
2024 J jnl
Deconfounded hierarchical multi-granularity classification.
Comput. Vis. Image Underst.
Ziyu Zhao, Leilei Gan, Tao Shen, Kun Kuang, Fei Wu
2024 J jnl
FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning.
CoRR
Zhonghua Jiang, Jimin Xu, Shengyu Zhang, Tao Shen, Jiwei Li, Kun Kuang, Haibin Cai, Fei Wu
2024 J jnl
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering.
CoRR
Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Kun Kuang, Fei Wu
2024 A* conf
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models.
ICML
Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Chao Wu, Kun Kuang
2024 J jnl
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models.
CoRR
Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Kun Kuang, Chao Wu
2024 J jnl
Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning.
CoRR
Ziyu Zhao, Leilei Gan, Guoyin Wang, Yuwei Hu, Tao Shen, Hongxia Yang, Kun Kuang, Fei Wu
2024 J jnl
Training-time Neuron Alignment through Permutation Subspace for Improving Linear Mode Connectivity and Model Fusion.
CoRR
Zexi Li, Zhiqi Li, Jie Lin, Tao Shen, Tao Lin, Chao Wu
2023 A* conf
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization.
WWW
Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu
2023 J jnl
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI.
IEEE Trans. Knowl. Data Eng.
Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang
2023 J jnl
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives.
Frontiers Inf. Technol. Electron. Eng.
Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu
2023 J jnl
Federated unsupervised representation learning.
Frontiers Inf. Technol. Electron. Eng.
Fengda Zhang, Kun Kuang, Long Chen, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Fei Wu, Yueting Zhuang, Xiaolin Li
2022 J jnl
MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization.
CoRR
Zheqi Lv, Feng Wang, Kun Kuang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Fei Wu
2021 J jnl
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey.
CoRR
Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang
2021 J jnl
Federated Graph Learning - A Position Paper.
CoRR
Huanding Zhang, Tao Shen, Fei Wu, Mingyang Yin, Hongxia Yang, Chao Wu
2020 J jnl
Federated Mutual Learning.
CoRR
Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Fei Wu, Chao Wu
2020 J jnl
Federated Unsupervised Representation Learning.
CoRR
Fengda Zhang, Kun Kuang, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Yueting Zhuang, Xiaolin Li