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ORCIDTao Shen 0002
Person information
- affiliation: Zhejiang University, China
Other persons with the same name
- Tao Shen — disambiguation page
- Tao Shen 0001
![[0000-0003-3315-2468]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3315-2468")
— University of Technology Sydney, Sydney, Australia (and 1 more) - Tao Shen 0003 — University of Jinan, Jinan, China
- Tao Shen 0004 — Kunming University of Science and Technology, Kunming, China
- Tao Shen 0005 — Kent State University, Kent, OH, USA
- Tao Shen 0006 — National University of Singapore, Department of Statistics and Data Science, Singapore
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2020 – today
- 2026
[j6]Zexi Li, Zhiqi Li, Jie Lin, Tao Shen, Jun Xiao, Yike Guo, Tao Lin, Chao Wu:
Improving Model Fusion by Training-Time Neuron Alignment With Fixed Neuron Anchors. IEEE Trans. Pattern Anal. Mach. Intell. 48(3): 2186-2199 (2026)- [i15]Wenting Lu, Didi Zhu, Tao Shen, Donglin Zhu, Ayong Ye, Chao Wu:
Watch Wider and Think Deeper: Collaborative Cross-modal Chain-of-Thought for Complex Visual Reasoning. CoRR abs/2601.02422 (2026) - 2025
- [j5]Tao Shen, Zexi Li, Ziyu Zhao, Didi Zhu, Zheqi Lv, Kun Kuang, Shengyu Zhang, Chao Wu, Fei Wu:
FedMcon: an adaptive aggregation method for federated learning via meta controller. Frontiers Inf. Technol. Electron. Eng. 26(8): 1378-1393 (2025) - [c7]Zhonghua Jiang, Jimin Xu, Shengyu Zhang, Tao Shen, Jiwei Li, Kun Kuang, Haibin Cai, Fei Wu:
FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning. AAAI 2025: 17662-17670 - [c6]Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Fei Wu:
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering. ICLR 2025 - [c5]Didi Zhu, Yibing Song, Tao Shen, Ziyu Zhao, Jinluan Yang, Min Zhang, Chao Wu:
REMEDY: Recipe Merging Dynamics in Large Vision-Language Models. ICLR 2025 - [c4]Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Tao Shen, Tao Lin, Chao Wu, Nicholas D. Lane:
FedGuCci: Making Local Models More Connected in Landscape for Federated Learning. KDD (2) 2025: 1659-1670 - [i14]Ziyu Zhao, Yixiao Zhou, Didi Zhu, Tao Shen, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng:
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning. CoRR abs/2501.15103 (2025) - [i13]Tao Shen, Didi Zhu, Ziyu Zhao, Chao Wu, Fei Wu:
Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices. CoRR abs/2503.08223 (2025) - [i12]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, Lee KangYoon, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel J. Beutel, Lingjuan Lyu, Nicholas D. Lane:
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models. CoRR abs/2506.02961 (2025) - [i11]Tao Shen, Zexi Li, Didi Zhu, Ziyu Zhao, Chao Wu, Fei Wu:
FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning. CoRR abs/2508.14539 (2025) - 2024
- [j4]Ziyu Zhao, Leilei Gan, Tao Shen, Kun Kuang, Fei Wu:
Deconfounded hierarchical multi-granularity classification. Comput. Vis. Image Underst. 248: 104108 (2024) - [c3]Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Chao Wu, Kun Kuang:
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models. ICML 2024: 62581-62598 - [c2]Tao Shen, Zexi Li, Ziyu Zhao, Didi Zhu, Zheqi Lv, Shengyu Zhang, Kun Kuang, Fei Wu:
An Adaptive Aggregation Method for Federated Learning via Meta Controller. MMAsia Workshops 2024: 20:1 - [i10]Zexi Li, Zhiqi Li, Jie Lin, Tao Shen, Tao Lin, Chao Wu:
Training-time Neuron Alignment through Permutation Subspace for Improving Linear Mode Connectivity and Model Fusion. CoRR abs/2402.01342 (2024) - [i9]Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Kun Kuang, Chao Wu:
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models. CoRR abs/2402.12048 (2024) - [i8]Ziyu Zhao, Leilei Gan, Guoyin Wang, Yuwei Hu, Tao Shen, Hongxia Yang, Kun Kuang, Fei Wu:
Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning. CoRR abs/2406.16989 (2024) - [i7]Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Kun Kuang, Fei Wu:
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering. CoRR abs/2409.16167 (2024) - [i6]Zhonghua Jiang, Jimin Xu, Shengyu Zhang, Tao Shen, Jiwei Li, Kun Kuang, Haibin Cai, Fei Wu:
FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning. CoRR abs/2412.18904 (2024) - 2023
- [j3]Fengda Zhang, Kun Kuang, Long Chen, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Fei Wu, Yueting Zhuang, Xiaolin Li:
Federated unsupervised representation learning. Frontiers Inf. Technol. Electron. Eng. 24(8): 1181-1193 (2023) - [j2]Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu:
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. Frontiers Inf. Technol. Electron. Eng. 24(10): 1390-1402 (2023) - [j1]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:
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. IEEE Trans. Knowl. Data Eng. 35(7): 6866-6886 (2023) - [c1]Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu:
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. WWW 2023: 3077-3085 - 2022
- [i5]Zheqi Lv, Feng Wang, Kun Kuang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Fei Wu:
MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization. CoRR abs/2209.05227 (2022) - 2021
- [i4]Huanding Zhang, Tao Shen, Fei Wu, Mingyang Yin, Hongxia Yang, Chao Wu:
Federated Graph Learning - A Position Paper. CoRR abs/2105.11099 (2021) - [i3]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:
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey. CoRR abs/2111.06061 (2021) - 2020
- [i2]Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Fei Wu, Chao Wu:
Federated Mutual Learning. CoRR abs/2006.16765 (2020) - [i1]Fengda Zhang, Kun Kuang, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Yueting Zhuang, Xiaolin Li:
Federated Unsupervised Representation Learning. CoRR abs/2010.08982 (2020)
Coauthor Index
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