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ORCIDJunyi Li 0002
Person information
- affiliation: University of Maryland, Department of Computer Science, College Park, MD, USA
Other persons with the same name
- Junyi Li — disambiguation page
- Junyi Li 0001
![[0009-0007-0480-5593]](https://dblp.org/img/orcid-mark.12x12.png "0009-0007-0480-5593")
— City University of Hong Kong, Department of Data Science, Hong Kong (and 4 more) - Junyi Li 0003 — Qualcomm Technologies, Inc., Bridgewater, NJ, USA (and 1 more)
- Junyi Li 0004 — Harbin Institute of Technology (Shenzhen), School of Computer Science and Technology, Shenzhen, China (and 1 more)
- Junyi Li 0005 — Harbin Institute of Technology, Harbin, China
- Junyi Li 0006 — Hong Kong University of Science and Technology (Guangzhou), AI Thrust, Guangzhou, China
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2020 – today
- 2025
[i15]Ziyi Chen, Junyi Li, Peiran Yu, Heng Huang:
Provably Mitigating Corruption, Overoptimization, and Verbosity Simultaneously in Offline and Online RLHF/DPO Alignment. CoRR abs/2510.05526 (2025)- 2024
- [j1]Peiran Yu, Junyi Li, Heng Huang:
Hessian Free Efficient Single Loop Iterative Differentiation Methods for Bi-Level Optimization Problems. Trans. Mach. Learn. Res. 2024 (2024) - [c16]Feihu Huang, Xinrui Wang, Junyi Li, Songcan Chen:
Adaptive Federated Minimax Optimization with Lower Complexities. AISTATS 2024: 4663-4671 - [c15]Shangqian Gao, Junyi Li, Zeyu Zhang, Yanfu Zhang, Weidong Cai, Heng Huang:
Device-Wise Federated Network Pruning. CVPR 2024: 12342-12352 - [c14]Junyi Li, Feihu Huang, Heng Huang:
FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization. ICLR 2024 - [c13]Peiran Yu, Junyi Li, Heng Huang:
Dropout Enhanced Bilevel Training. ICLR 2024 - [c12]Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta:
The steerability of large language models toward data-driven personas. NAACL-HLT 2024: 7290-7305 - [c11]Junyi Li, Heng Huang:
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling. NeurIPS 2024 - [i14]Junyi Li, Heng Huang:
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling. CoRR abs/2411.05868 (2024) - 2023
- [c10]Junyi Li, Heng Huang:
Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning. NeurIPS 2023 - [c9]Junyi Li, Feihu Huang, Heng Huang:
Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems. NeurIPS 2023 - [c8]Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang:
Federated Conditional Stochastic Optimization. NeurIPS 2023 - [i13]Junyi Li, Feihu Huang, Heng Huang:
FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging. CoRR abs/2302.06103 (2023) - [i12]Junyi Li, Feihu Huang, Heng Huang:
Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems. CoRR abs/2302.06701 (2023) - [i11]Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang:
Federated Conditional Stochastic Optimization. CoRR abs/2310.02524 (2023) - [i10]Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta:
On the steerability of large language models toward data-driven personas. CoRR abs/2311.04978 (2023) - 2022
- [c7]Junyi Li, Bin Gu, Heng Huang:
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. AAAI 2022: 7426-7434 - [c6]Hongchang Gao, Junyi Li, Heng Huang:
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum. ICML 2022: 7017-7035 - [c5]Junyi Li, Jian Pei, Heng Huang:
Communication-Efficient Robust Federated Learning with Noisy Labels. KDD 2022: 914-924 - [c4]Feihu Huang, Junyi Li, Shangqian Gao, Heng Huang:
Enhanced Bilevel Optimization via Bregman Distance. NeurIPS 2022 - [i9]Junyi Li, Feihu Huang, Heng Huang:
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction. CoRR abs/2205.01608 (2022) - [i8]Junyi Li, Jian Pei, Heng Huang:
Communication-Efficient Robust Federated Learning with Noisy Labels. CoRR abs/2206.05558 (2022) - [i7]Junyi Li, Heng Huang:
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings. CoRR abs/2210.13686 (2022) - 2021
- [c3]Feihu Huang, Junyi Li, Heng Huang:
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients. NeurIPS 2021: 9074-9085 - [i6]Feihu Huang, Junyi Li, Heng Huang:
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients. CoRR abs/2106.08208 (2021) - [i5]Feihu Huang, Junyi Li, Heng Huang:
Compositional Federated Learning: Applications in Distributionally Robust Averaging and Meta Learning. CoRR abs/2106.11264 (2021) - [i4]Junyi Li, Bin Gu, Heng Huang:
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. CoRR abs/2112.04660 (2021) - 2020
- [c2]Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman:
Generating Realistic Stock Market Order Streams. AAAI 2020: 727-734 - [c1]Junyi Li, Heng Huang:
Faster Secure Data Mining via Distributed Homomorphic Encryption. KDD 2020: 2706-2714 - [i3]Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman:
Generating Realistic Stock Market Order Streams. CoRR abs/2006.04212 (2020) - [i2]Junyi Li, Heng Huang:
Faster Secure Data Mining via Distributed Homomorphic Encryption. CoRR abs/2006.10091 (2020) - [i1]Junyi Li, Bin Gu, Heng Huang:
Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee. CoRR abs/2009.00690 (2020)
Coauthor Index
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