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Jianhui Sun
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Publications
- 2024
- [c14]Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang:
On the Role of Server Momentum in Federated Learning. AAAI 2024: 15164-15172 - [i8]Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang:
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. CoRR abs/2403.10667 (2024) - 2023
- [j5]Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang:
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD. ACM Trans. Knowl. Discov. Data 17(2): 29:1-29:37 (2023) - [c13]Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang:
Understanding and Enhancing Robustness of Concept-Based Models. AAAI 2023: 15127-15135 - [c12]Jianhui Sun, Sanchit Sinha, Aidong Zhang:
Enhance Diffusion to Improve Robust Generalization. KDD 2023: 2083-2095 - [c11]Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang:
Federated Conditional Stochastic Optimization. NeurIPS 2023 - [c10]Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang:
Solving a Class of Non-Convex Minimax Optimization in Federated Learning. NeurIPS 2023 - [i7]Haohui Wang, Yuzhen Mao, Jianhui Sun, Si Zhang, Dawei Zhou:
Dynamic Transfer Learning across Graphs. CoRR abs/2305.00664 (2023) - [i6]Jianhui Sun, Sanchit Sinha, Aidong Zhang:
Enhance Diffusion to Improve Robust Generalization. CoRR abs/2306.02618 (2023) - [i5]Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang:
Federated Conditional Stochastic Optimization. CoRR abs/2310.02524 (2023) - [i4]Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang:
Solving a Class of Non-Convex Minimax Optimization in Federated Learning. CoRR abs/2310.03613 (2023) - [i3]Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang:
On the Role of Server Momentum in Federated Learning. CoRR abs/2312.12670 (2023) - 2022
- [c9]Yuzhen Mao, Jianhui Sun, Dawei Zhou:
Augmenting Knowledge Transfer across Graphs. ICDM 2022: 1101-1106 - [c7]Jianhui Sun, Mengdi Huai, Kishlay Jha, Aidong Zhang:
Demystify Hyperparameters for Stochastic Optimization with Transferable Representations. KDD 2022: 1706-1716 - [i2]Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang:
Understanding and Enhancing Robustness of Concept-based Models. CoRR abs/2211.16080 (2022) - [i1]Yuzhen Mao, Jianhui Sun, Dawei Zhou:
Augmenting Knowledge Transfer across Graphs. CoRR abs/2212.04725 (2022) - 2021
- [c6]Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang:
A Stagewise Hyperparameter Scheduler to Improve Generalization. KDD 2021: 1530-1540 - 2020
- [c5]Qiuling Suo, Weida Zhong, Guangxu Xun, Jianhui Sun, Changyou Chen, Aidong Zhang:
GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning. IEEE BigData 2020: 798-807 - [c4]Mengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao, Aidong Zhang:
Malicious Attacks against Deep Reinforcement Learning Interpretations. KDD 2020: 472-482 - [c3]Guangxu Xun, Kishlay Jha, Jianhui Sun, Aidong Zhang:
Correlation Networks for Extreme Multi-label Text Classification. KDD 2020: 1074-1082 - 2019
- [c2]Qiuling Suo, Liuyi Yao, Guangxu Xun, Jianhui Sun, Aidong Zhang:
Recurrent Imputation for Multivariate Time Series with Missing Values. ICHI 2019: 1-3
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