Junyuan Hong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
7
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models. | Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding |
| 2025 | ICML | GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning. | Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li |
| 2025 | KDD | FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | Carl Yang, Guancheng Wan, Zhuangdi Zhu, Zheng Xu, Junyuan Hong, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou |
| 2025 | NAACL | Extracting and Understanding the Superficial Knowledge in Alignment. | Runjin Chen, Gabriel J. Perin, Xuxi Chen, Xilun Chen, Yan Han, Nina S. T. Hirata, Junyuan Hong, Bhavya Kailkhura |
| 2025 | NAACL | GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing. | Jinhao Duan, Xinyu Zhao, Zhuoxuan Zhang, Eunhye Grace Ko, Lily Boddy, Chenan Wang, Tianhao Li, Alexander Rasgon, Junyuan Hong, Min Kyung Lee, Chenxi Yuan, Qi Long, Ying Ding, Tianlong Chen, Kaidi Xu |
| 2024 | AISTATS | On the Generalization Ability of Unsupervised Pretraining. | Yuyang Deng, Junyuan Hong, Jiayu Zhou, Mehrdad Mahdavi |
| 2024 | ICLR | DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer. | Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang |
| 2024 | ICLR | Safe and Robust Watermark Injection with a Single OoD Image. | Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2024 | ICML | Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. | Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li |
| 2024 | ICML | Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. | Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen |
| 2024 | KDD | FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | Junyuan Hong, Carl Yang, Zhuangdi Zhu, Zheng Xu, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou |
| 2023 | AAAI | Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning. | Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2023 | ICLR | MECTA: Memory-Economic Continual Test-Time Model Adaptation. | Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger |
| 2023 | ICLR | Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection. | Shuyang Yu, Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2023 | ICML | Revisiting Data-Free Knowledge Distillation with Poisoned Teachers. | Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou |
| 2023 | KDD | International Workshop on Federated Learning for Distributed Data Mining. | Junyuan Hong, Zhuangdi Zhu, Lingjuan Lyu, Yang Zhou, Vishnu Naresh Boddeti, Jiayu Zhou |
| 2022 | ICLR | Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization. | Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2022 | ICML | Resilient and Communication Efficient Learning for Heterogeneous Federated Systems. | Zhuangdi Zhu, Junyuan Hong, Steve Drew, Jiayu Zhou |
| 2021 | AAAI | Learning Model-Based Privacy Protection under Budget Constraints. | Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2021 | ICML | Data-Free Knowledge Distillation for Heterogeneous Federated Learning. | Zhuangdi Zhu, Junyuan Hong, Jiayu Zhou |
| 2021 | KDD | Federated Adversarial Debiasing for Fair and Transferable Representations. | Junyuan Hong, Zhuangdi Zhu, Shuyang Yu, Zhangyang Wang, Hiroko H. Dodge, Jiayu Zhou |
| 2018 | KDD | Disturbance Grassmann Kernels for Subspace-Based Learning. | Junyuan Hong, Huanhuan Chen, Feng Lin |