Hongyuan Zhan - RankMe

20 papers A* 1A 1Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Large Reasoning Models Learn Better Alignment from Flawed Thinking. CoRR Shengyun Peng, Eric Smith, Ivan Evtimov, Song Jiang, Pin-Yu Chen, Hongyuan Zhan, Haozhu Wang, Duen Horng Chau, Mahesh Pasupuleti, Jianfeng Chi
2025	J	`jnl`	Positional Encoding via Token-Aware Phase Attention. CoRR Yu Wang, Sheng Shen, Rémi Munos, Hongyuan Zhan, Yuandong Tian
2025	J	`jnl`	The Alignment Waltz: Jointly Training Agents to Collaborate for Safety. CoRR Jingyu Zhang, Haozhu Wang, Eric Michael Smith, Sid Wang, Amr Sharaf, Mahesh Pasupuleti, Benjamin Van Durme, Daniel Khashabi, Jason Weston, Hongyuan Zhan
2024	J	`jnl`	Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations. CoRR Jianfeng Chi, Ujjwal Karn, Hongyuan Zhan, Eric Smith, Javier Rando, Yiming Zhang, Kate Plawiak, Zacharie Delpierre Coudert, Kartikeya Upasani, Mahesh Pasupuleti
2024	J	`jnl`	Llama Guard 3-1B-INT4: Compact and Efficient Safeguard for Human-AI Conversations. CoRR Igor Fedorov, Kate Plawiak, Lemeng Wu, Tarek Elgamal, Naveen Suda, Eric Smith, Hongyuan Zhan, Jianfeng Chi, Yuriy Hulovatyy, Kimish Patel, Zechun Liu, Changsheng Zhao, Yangyang Shi, Tijmen Blankevoort, Mahesh Pasupuleti, Bilge Soran, Zacharie Delpierre Coudert, Rachad Alao, Raghuraman Krishnamoorthi, Vikas Chandra
2024	A*	`conf`	PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs. ICML Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar
2024	J	`jnl`	PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs. CoRR Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar
2023	J	`jnl`	Privately Customizing Prefinetuning to Better Match User Data in Federated Learning. CoRR Charlie Hou, Hongyuan Zhan, Akshat Shrivastava, Sid Wang, Aleksandr Livshits, Giulia Fanti, Daniel Lazar
2022	J	`jnl`	FedSynth: Gradient Compression via Synthetic Data in Federated Learning. CoRR Shengyuan Hu, Jack Goetz, Kshitiz Malik, Hongyuan Zhan, Zhe Liu, Yue Liu
2022	A	`conf`	Federated Learning with Buffered Asynchronous Aggregation. AISTATS John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Mike Rabbat, Mani Malek, Dzmitry Huba
2022	—	`conf`	PAPAYA: Practical, Private, and Scalable Federated Learning. MLSys Dzmitry Huba, John Nguyen, Kshitiz Malik, Ruiyu Zhu, Mike Rabbat, Ashkan Yousefpour, Carole-Jean Wu, Hongyuan Zhan, Pavel Ustinov, Harish Srinivas, Kaikai Wang, Anthony Shoumikhin, Jesik Min, Mani Malek
2021	J	`jnl`	Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition. CoRR Hongyuan Zhan, Kamesh Madduri, Venkataraman Shankar
2021	J	`jnl`	Federated Learning with Buffered Asynchronous Aggregation. CoRR John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Michael G. Rabbat, Mani Malek, Dzmitry Huba
2021	J	`jnl`	Papaya: Practical, Private, and Scalable Federated Learning. CoRR Dzmitry Huba, John Nguyen, Kshitiz Malik, Ruiyu Zhu, Mike Rabbat, Ashkan Yousefpour, Carole-Jean Wu, Hongyuan Zhan, Pavel Ustinov, Harish Srinivas, Kaikai Wang, Anthony Shoumikhin, Jesik Min, Mani Malek
2019	—	`conf`	Evaluating Lottery Tickets Under Distributional Shifts. DeepLo@EMNLP-IJCNLP Shrey Desai, Hongyuan Zhan, Ahmed Aly
2019	J	`jnl`	Evaluating Lottery Tickets Under Distributional Shifts. CoRR Shrey Desai, Hongyuan Zhan, Ahmed Aly
2018	J	`jnl`	Consensus Ensemble System for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Alex Sim, Kesheng Wu
2018	—	`conf`	Efficient Online Hyperparameter Learning for Traffic Flow Prediction. ITSC Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu
2018	J	`jnl`	Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction. CoRR Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu
2017	—	`conf`	Analyzing Community Structure in Networks. IPDPS Workshops Hongyuan Zhan, Kamesh Madduri