Junyi Li

According to our database, Junyi Li authored at least 24 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Provably Mitigating Corruption, Overoptimization, and Verbosity Simultaneously in Offline and Online RLHF/DPO Alignment.

Ziyi Chen, Junyi Li, Peiran Yu, Heng Huang

CoRR, October, 2025

2024

Hessian Free Efficient Single Loop Iterative Differentiation Methods for Bi-Level Optimization Problems.

Peiran Yu, Junyi Li, Heng Huang

Trans. Mach. Learn. Res., 2024

Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling.

Junyi Li, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

The steerability of large language models toward data-driven personas.

Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Dropout Enhanced Bilevel Training.

Peiran Yu, Junyi Li, Heng Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization.

Junyi Li, Feihu Huang, Heng Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Device-Wise Federated Network Pruning.

Shangqian Gao, Junyi Li, Zeyu Zhang, Yanfu Zhang, Weidong Cai, Heng Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Adaptive Federated Minimax Optimization with Lower Complexities.

Feihu Huang, Xinrui Wang, Junyi Li, Songcan Chen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems.

Junyi Li, Feihu Huang, Heng Huang

CoRR, 2023

FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging.

Junyi Li, Feihu Huang, Heng Huang

CoRR, 2023

Federated Conditional Stochastic Optimization.

Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems.

Junyi Li, Feihu Huang, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning.

Junyi Li, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings.

Junyi Li, Heng Huang

CoRR, 2022

Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction.

Junyi Li, Feihu Huang, Heng Huang

CoRR, 2022

Enhanced Bilevel Optimization via Bregman Distance.

Feihu Huang, Junyi Li, Shangqian Gao, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Communication-Efficient Robust Federated Learning with Noisy Labels.

Junyi Li, Jian Pei, Heng Huang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum.

Hongchang Gao, Junyi Li, Heng Huang

Proceedings of the International Conference on Machine Learning, 2022

A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse.

Junyi Li, Bin Gu, Heng Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Compositional Federated Learning: Applications in Distributionally Robust Averaging and Meta Learning.

Feihu Huang, Junyi Li, Heng Huang

CoRR, 2021

SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients.

Feihu Huang, Junyi Li, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee.

Junyi Li, Bin Gu, Heng Huang

CoRR, 2020

Faster Secure Data Mining via Distributed Homomorphic Encryption.

Junyi Li, Heng Huang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Generating Realistic Stock Market Order Streams.

Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020