Tao Lin - RankMe

73 papers A* 23B 1Journal 43Unranked 5

Year	Rank	Type	Title / Venue / Authors
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
2025	B	`conf`	Beyond Right to be Forgotten: Managing Heterogeneity Side Effects Through Strategic Incentives. MobiHoc Jiaqi Shao, Tao Lin, Xiaojin Zhang, Qiang Yang, Bing Luo
2025	A*	`conf`	CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology. CVPR Yuxuan Sun, Yixuan Si, Chenglu Zhu, Xuan Gong, Kai Zhang, Pingyi Chen, Ye Zhang, Zhongyi Shui, Tao Lin, Lin Yang
2025	J	`jnl`	CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic. CoRR Yuxuan Sun, Yixuan Si, Chenglu Zhu, Kai Zhang, Zhongyi Shui, Bowen Ding, Tao Lin, Lin Yang
2025	J	`jnl`	Camouflaged Variational Graph AutoEncoder Against Attribute Inference Attacks for Cross-Domain Recommendation. IEEE Trans. Knowl. Data Eng. Yudi Xiong, Yongxin Guo, Weike Pan, Qiang Yang, Zhong Ming, Xiaojin Zhang, Han Yu, Tao Lin, Xiaoying Tang
2025	J	`jnl`	Decentralized gradient tracking with local steps. Optim. Methods Softw. Yue Liu, Tao Lin, Anastasia Koloskova, Sebastian U. Stich
2025	A*	`conf`	Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models. ICLR Yongxin Guo, Zhenglin Cheng, Xiaoying Tang, Zhaopeng Tu, Tao Lin
2025	A*	`conf`	Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies. ICLR Yongxin Guo, Xiaoying Tang, Tao Lin
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	A*	`conf`	IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents. EMNLP Hengyu An, Jinghuai Zhang, Tianyu Du, Chunyi Zhou, Qingming Li, Tao Lin, Shouling Ji
2025	J	`jnl`	IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents. CoRR Hengyu An, Jinghuai Zhang, Tianyu Du, Chunyi Zhou, Qingming Li, Tao Lin, Shouling Ji
2025	J	`jnl`	Open Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning. ACM Trans. Softw. Eng. Methodol. Zhihao Lin, Wei Ma, Tao Lin, Yaowen Zheng, Jingquan Ge, Jun Wang, Jacques Klein, Tegawendé F. Bissyandé, Yang Liu, Li Li
2025	J	`jnl`	PathBench: Advancing the Benchmark of Large Multimodal Models for Pathology Image Understanding at Patch and Whole Slide Level. IEEE Trans. Medical Imaging Yuxuan Sun, Hao Wu, Chenglu Zhu, Yixuan Si, Qizi Chen, Yunlong Zhang, Kai Zhang, Jingxiong Li, Jiatong Cai, Yuhan Wang, Lin Sun, Tao Lin, Lin Yang
2025	A*	`conf`	PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration. ICLR Yuxuan Sun, Yunlong Zhang, Yixuan Si, Chenglu Zhu, Kai Zhang, Zhongyi Shui, Jingxiong Li, Xuan Gong, Xinheng Lyu, Tao Lin, Lin Yang
2024	J	`jnl`	CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology. CoRR Yuxuan Sun, Yixuan Si, Chenglu Zhu, Xuan Gong, Kai Zhang, Pingyi Chen, Ye Zhang, Zhongyi Shui, Tao Lin, Lin Yang
2024	J	`jnl`	Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing. CoRR Yongxin Guo, Lin Wang, Xiaoying Tang, Tao Lin
2024	J	`jnl`	Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models. CoRR Yongxin Guo, Zhaopeng Tu, Zhenglin Cheng, Xiaoying Tang, Tao Lin
2024	A*	`conf`	FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering. ICML Yongxin Guo, Xiaoying Tang, Tao Lin
2024	J	`jnl`	Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning. CoRR Zhihao Lin, Wei Ma, Tao Lin, Yaowen Zheng, Jingquan Ge, Jun Wang, Jacques Klein, Tegawendé F. Bissyandé, Yang Liu, Li Li
2024	J	`jnl`	PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration. CoRR Yuxuan Sun, Yunlong Zhang, Yixuan Si, Chenglu Zhu, Zhongyi Shui, Kai Zhang, Jingxiong Li, Xingheng Lyu, Tao Lin, Lin Yang
2024	—	`conf`	PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology. ECCV (62) Yuxuan Sun, Hao Wu, Chenglu Zhu, Sunyi Zheng, Qizi Chen, Kai Zhang, Yunlong Zhang, Dan Wan, Xiaoxiao Lan, Mengyue Zheng, Jingxiong Li, Xinheng Lyu, Tao Lin, Lin Yang
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`	DELTA: Diverse Client Sampling for Fasting Federated Learning. NeurIPS Lin Wang, Yongxin Guo, Tao Lin, Xiaoying Tang
2023	J	`jnl`	Decentralized Gradient Tracking with Local Steps. CoRR Yue Liu, Tao Lin, Anastasia Koloskova, Sebastian U. Stich
2023	A*	`conf`	FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction. ICML Yongxin Guo, Xiaoying Tang, Tao Lin
2023	J	`jnl`	FedConceptEM: Robust Federated Learning Under Diverse Distribution Shifts. CoRR Yongxin Guo, Xiaoying Tang, Tao Lin
2023	J	`jnl`	Find Your Optimal Assignments On-the-fly: A Holistic Framework for Clustered Federated Learning. CoRR Yongxin Guo, Xiaoying Tang, Tao Lin
2023	A*	`conf`	No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier. ICCV Zexi Li, Xinyi Shang, Rui He, Tao Lin, Chao Wu
2023	J	`jnl`	No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier. CoRR Zexi Li, Xinyi Shang, Rui He, Tao Lin, Chao Wu
2023	A*	`conf`	Revisiting Weighted Aggregation in Federated Learning with Neural Networks. ICML Zexi Li, Tao Lin, Xinyi Shang, Chao Wu
2023	J	`jnl`	Revisiting Weighted Aggregation in Federated Learning with Neural Networks. CoRR Zexi Li, Tao Lin, Xinyi Shang, Chao Wu
2022	—	`—`	Algorithms for Efficient and Robust Distributed Deep Learning. Tao Lin
2022	J	`jnl`	An Improved Analysis of Gradient Tracking for Decentralized Machine Learning. CoRR Anastasia Koloskova, Tao Lin, Sebastian U. Stich
2022	J	`jnl`	Client Selection in Nonconvex Federated Learning: Improved Convergence Analysis for Optimal Unbiased Sampling Strategy. CoRR Lin Wang, Yongxin Guo, Tao Lin, Xiaoying Tang
2022	J	`jnl`	FedAug: Reducing the Local Learning Bias Improves Federated Learning on Heterogeneous Data. CoRR Yongxin Guo, Tao Lin, Xiaoying Tang
2022	J	`jnl`	Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition. CoRR Jie Su, Zhenyu Wen, Tao Lin, Yu Guan
2022	J	`jnl`	Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Jie Su, Zhenyu Wen, Tao Lin, Yu Guan
2021	A*	`conf`	An Improved Analysis of Gradient Tracking for Decentralized Machine Learning. NeurIPS Anastasia Koloskova, Tao Lin, Sebastian U. Stich
2021	A*	`conf`	Consensus Control for Decentralized Deep Learning. ICML Lingjing Kong, Tao Lin, Anastasia Koloskova, Martin Jaggi, Sebastian U. Stich
2021	J	`jnl`	Consensus Control for Decentralized Deep Learning. CoRR Lingjing Kong, Tao Lin, Anastasia Koloskova, Martin Jaggi, Sebastian U. Stich
2021	J	`jnl`	Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data. CoRR Tao Lin, Sai Praneeth Karimireddy, Sebastian U. Stich, Martin Jaggi
2021	A*	`conf`	Quasi-global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data. ICML Tao Lin, Sai Praneeth Karimireddy, Sebastian U. Stich, Martin Jaggi
2021	A*	`conf`	RelaySum for Decentralized Deep Learning on Heterogeneous Data. NeurIPS Thijs Vogels, Lie He, Anastasia Koloskova, Sai Praneeth Karimireddy, Tao Lin, Sebastian U. Stich, Martin Jaggi
2021	J	`jnl`	RelaySum for Decentralized Deep Learning on Heterogeneous Data. CoRR Thijs Vogels, Lie He, Anastasia Koloskova, Tao Lin, Sai Praneeth Karimireddy, Sebastian U. Stich, Martin Jaggi
2021	J	`jnl`	Representation Memorization for Fast Learning New Knowledge without Forgetting. CoRR Fei Mi, Tao Lin, Boi Faltings
2021	J	`jnl`	Towards Federated Learning on Time-Evolving Heterogeneous Data. CoRR Yongxin Guo, Tao Lin, Xiaoying Tang
2021	J	`jnl`	Understanding Memorization from the Perspective of Optimization via Efficient Influence Estimation. CoRR Futong Liu, Tao Lin, Martin Jaggi
2020	A*	`conf`	Decentralized Deep Learning with Arbitrary Communication Compression. ICLR Anastasia Koloskova, Tao Lin, Sebastian U. Stich, Martin Jaggi
2020	A*	`conf`	Don't Use Large Mini-batches, Use Local SGD. ICLR Tao Lin, Sebastian U. Stich, Kumar Kshitij Patel, Martin Jaggi
2020	A*	`conf`	Dynamic Model Pruning with Feedback. ICLR Tao Lin, Sebastian U. Stich, Luis Barba, Daniil Dmitriev, Martin Jaggi
2020	J	`jnl`	Dynamic Model Pruning with Feedback. CoRR Tao Lin, Sebastian U. Stich, Luis Barba, Daniil Dmitriev, Martin Jaggi
2020	A*	`conf`	Ensemble Distillation for Robust Model Fusion in Federated Learning. NeurIPS Tao Lin, Lingjing Kong, Sebastian U. Stich, Martin Jaggi
2020	J	`jnl`	Ensemble Distillation for Robust Model Fusion in Federated Learning. CoRR Tao Lin, Lingjing Kong, Sebastian U. Stich, Martin Jaggi
2020	A*	`conf`	Extrapolation for Large-batch Training in Deep Learning. ICML Tao Lin, Lingjing Kong, Sebastian U. Stich, Martin Jaggi
2020	J	`jnl`	Extrapolation for Large-batch Training in Deep Learning. CoRR Tao Lin, Lingjing Kong, Sebastian U. Stich, Martin Jaggi
2020	J	`jnl`	GA-Par: Dependable Microservice Orchestration Framework for Geo-Distributed Clouds. IEEE Trans. Parallel Distributed Syst. Zhenyu Wen, Tao Lin, Renyu Yang, Shouling Ji, Rajiv Ranjan, Alexander B. Romanovsky, Chang-Ting Lin, Jie Xu
2020	—	`conf`	Generalized Class Incremental Learning. CVPR Workshops Fei Mi, Lingjing Kong, Tao Lin, Kaicheng Yu, Boi Faltings
2020	—	`conf`	Masking as an Efficient Alternative to Finetuning for Pretrained Language Models. EMNLP (1) Mengjie Zhao, Tao Lin, Fei Mi, Martin Jaggi, Hinrich Schütze
2020	J	`jnl`	Masking as an Efficient Alternative to Finetuning for Pretrained Language Models. CoRR Mengjie Zhao, Tao Lin, Martin Jaggi, Hinrich Schütze
2020	A*	`conf`	On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them. NeurIPS Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk
2020	J	`jnl`	On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them. CoRR Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk
2019	J	`jnl`	Decentralized Deep Learning with Arbitrary Communication Compression. CoRR Anastasia Koloskova, Tao Lin, Sebastian U. Stich, Martin Jaggi
2019	J	`jnl`	Exploring Interpretable LSTM Neural Networks over Multi-Variable Data. CoRR Tian Guo, Tao Lin, Nino Antulov-Fantulin
2019	A*	`conf`	Exploring interpretable LSTM neural networks over multi-variable data. ICML Tian Guo, Tao Lin, Nino Antulov-Fantulin
2018	—	`conf`	An interpretable LSTM neural network for autoregressive exogenous model. ICLR (Workshop) Tian Guo, Tao Lin, Yao Lu
2018	J	`jnl`	An interpretable LSTM neural network for autoregressive exogenous model. CoRR Tian Guo, Tao Lin, Yao Lu
2018	J	`jnl`	Don't Use Large Mini-Batches, Use Local SGD. CoRR Tao Lin, Sebastian U. Stich, Martin Jaggi
2018	J	`jnl`	End-to-End DNN Training with Block Floating Point Arithmetic. CoRR Mario Drumond, Tao Lin, Martin Jaggi, Babak Falsafi
2018	J	`jnl`	Multi-variable LSTM neural network for autoregressive exogenous model. CoRR Tian Guo, Tao Lin
2018	A*	`conf`	Training DNNs with Hybrid Block Floating Point. NeurIPS Mario Drumond, Tao Lin, Martin Jaggi, Babak Falsafi
2017	J	`jnl`	Fog Orchestration for Internet of Things Services. IEEE Internet Comput. Zhenyu Wen, Renyu Yang, Peter Garraghan, Tao Lin, Jie Xu, Michael Rovatsos
2017	J	`jnl`	Heterogeneous Recommendations: What You Might Like To Read After Watching Interstellar. Proc. VLDB Endow. Rachid Guerraoui, Anne-Marie Kermarrec, Tao Lin, Rhicheek Patra
2017	A*	`conf`	Hybrid Neural Networks for Learning the Trend in Time Series. IJCAI Tao Lin, Tian Guo, Karl Aberer