Junyi Li - RankMe

33 papers A* 14A 1Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	When Actions Go Off-Task: Detecting and Correcting Misaligned Actions in Computer-Use Agents. CoRR Yuting Ning, Jaylen Jones, Zhehao Zhang, Chentao Ye, Weitong Ruan, Junyi Li, Rahul Gupta, Huan Sun
2025	J	`jnl`	Provably Mitigating Corruption, Overoptimization, and Verbosity Simultaneously in Offline and Online RLHF/DPO Alignment. CoRR Ziyi Chen, Junyi Li, Peiran Yu, Heng Huang
2024	A	`conf`	Adaptive Federated Minimax Optimization with Lower Complexities. AISTATS Feihu Huang, Xinrui Wang, Junyi Li, Songcan Chen
2024	A*	`conf`	Device-Wise Federated Network Pruning. CVPR Shangqian Gao, Junyi Li, Zeyu Zhang, Yanfu Zhang, Weidong Cai, Heng Huang
2024	A*	`conf`	Dropout Enhanced Bilevel Training. ICLR Peiran Yu, Junyi Li, Heng Huang
2024	A*	`conf`	FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization. ICLR Junyi Li, Feihu Huang, Heng Huang
2024	J	`jnl`	Hessian Free Efficient Single Loop Iterative Differentiation Methods for Bi-Level Optimization Problems. Trans. Mach. Learn. Res. Peiran Yu, Junyi Li, Heng Huang
2024	A*	`conf`	Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling. NeurIPS Junyi Li, Heng Huang
2024	J	`jnl`	Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling. CoRR Junyi Li, Heng Huang
2024	—	`conf`	The steerability of large language models toward data-driven personas. NAACL-HLT Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2023	A*	`conf`	Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems. NeurIPS Junyi Li, Feihu Huang, Heng Huang
2023	J	`jnl`	Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems. CoRR Junyi Li, Feihu Huang, Heng Huang
2023	J	`jnl`	FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging. CoRR Junyi Li, Feihu Huang, Heng Huang
2023	A*	`conf`	Federated Conditional Stochastic Optimization. NeurIPS Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang
2023	J	`jnl`	Federated Conditional Stochastic Optimization. CoRR Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang
2023	J	`jnl`	On the steerability of large language models toward data-driven personas. CoRR Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2023	A*	`conf`	Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning. NeurIPS Junyi Li, Heng Huang
2022	A*	`conf`	A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. AAAI Junyi Li, Bin Gu, Heng Huang
2022	A*	`conf`	Communication-Efficient Robust Federated Learning with Noisy Labels. KDD Junyi Li, Jian Pei, Heng Huang
2022	J	`jnl`	Communication-Efficient Robust Federated Learning with Noisy Labels. CoRR Junyi Li, Jian Pei, Heng Huang
2022	A*	`conf`	Enhanced Bilevel Optimization via Bregman Distance. NeurIPS Feihu Huang, Junyi Li, Shangqian Gao, Heng Huang
2022	J	`jnl`	FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings. CoRR Junyi Li, Heng Huang
2022	J	`jnl`	Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction. CoRR Junyi Li, Feihu Huang, Heng Huang
2022	A*	`conf`	On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum. ICML Hongchang Gao, Junyi Li, Heng Huang
2021	J	`jnl`	A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. CoRR Junyi Li, Bin Gu, Heng Huang
2021	J	`jnl`	Compositional Federated Learning: Applications in Distributionally Robust Averaging and Meta Learning. CoRR Feihu Huang, Junyi Li, Heng Huang
2021	A*	`conf`	SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients. NeurIPS Feihu Huang, Junyi Li, Heng Huang
2021	J	`jnl`	SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients. CoRR Feihu Huang, Junyi Li, Heng Huang
2020	A*	`conf`	Faster Secure Data Mining via Distributed Homomorphic Encryption. KDD Junyi Li, Heng Huang
2020	J	`jnl`	Faster Secure Data Mining via Distributed Homomorphic Encryption. CoRR Junyi Li, Heng Huang
2020	A*	`conf`	Generating Realistic Stock Market Order Streams. AAAI Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman
2020	J	`jnl`	Generating Realistic Stock Market Order Streams. CoRR Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman
2020	J	`jnl`	Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee. CoRR Junyi Li, Bin Gu, Heng Huang