Zhao, Wenlong

7 publications

NeurIPS 2025 Active Measurement: Efficient Estimation at Scale Max Hamilton, Jinlin Lai, Wenlong Zhao, Subhransu Maji, Daniel Sheldon

NeurIPS 2025 OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics Vineeth Dorna, Anmol Reddy Mekala, Wenlong Zhao, Andrew McCallum, J Zico Kolter, Zachary Chase Lipton, Pratyush Maini

ICLR 2025 Unveiling the Secret Recipe: A Guide for Supervised Fine-Tuning Small LLMs Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava

NeurIPS 2024 Learning Representations for Hierarchies with Minimal Support Benjamin Rozonoyer, Michael Boratko, Dhruvesh Patel, Wenlong Zhao, Shib Dasgupta, Hung Le, Andrew McCallum

NeurIPSW 2023 A Semi-Automated System to Annotate Communal Roosts in Large-Scale Weather Radar Data Wenlong Zhao, Gustavo Perez, Zezhou Cheng, Maria Carolina Tiburcio Dias Belotti, Yuting Deng, Victoria Simons, Elske K Tielens, Jeffrey Kelly, Kyle Horton, Subhransu Maji, Daniel Sheldon

IJCAI 2023 SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen

NeurIPS 2022 Structured Energy Network as a Loss Jay Yoon Lee, Dhruvesh Patel, Purujit Goyal, Wenlong Zhao, Zhiyang Xu, Andrew McCallum