Huanyi Xie

According to our database, Huanyi Xie authored at least 14 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Differentially Private Non-convex Distributionally Robust Optimization.

Difei Xu, Meng Ding, Zebin Ma, Huanyi Xie, Youming Tao, Aicha Slaitane, Di Wang

CoRR, February, 2026

Predicting LLM Output Length via Entropy-Guided Representations.

Huanyi Xie, Yubin Chen, Liangyu Wang, Lijie Hu, Di Wang

CoRR, February, 2026

Understanding the Impact of Differentially Private Training on Memorization of Long-Tailed Data.

Jiaming Zhang, Huanyi Xie, Meng Ding, Shaopeng Fu, Jinyan Liu, Di Wang

CoRR, February, 2026

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment.

Huanyi Xie, Lu Yu, Tianhao Huang, Longfei Li, Meng Li, Jun Zhou, Lijie Hu, Di Wang

Trans. Mach. Learn. Res., 2026

2025

PAHQ: Accelerating Automated Circuit Discovery through Mixed-Precision Inference Optimization.

Xinhai Wang, Shu Yang, Liangyu Wang, Lin Zhang, Huanyi Xie, Lijie Hu, Di Wang

CoRR, October, 2025

Attributing Data for Sharpness-Aware Minimization.

Chenyang Ren, Yifan Jia, Huanyi Xie, Zhaobin Xu, Tianxing Wei, Liangyu Wang, Lijie Hu, Di Wang

CoRR, July, 2025

DistZO2: High-Throughput and Memory-Efficient Zeroth-Order Fine-tuning LLMs with Distributed Parallel Computing.

Liangyu Wang, Huanyi Xie, Di Wang

CoRR, July, 2025

Infinite Sampling: Efficient and Stable Grouped RL Training for Large Language Models.

Liangyu Wang, Huanyi Xie, Xinhai Wang, Tianjin Huang, Mengdi Li, Di Wang

CoRR, June, 2025

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment.

Huanyi Xie, Lijie Hu, Lu Yu, Tianhao Huang, Longfei Li, Meng Li, Jun Zhou, Huan Wang, Di Wang

CoRR, June, 2025

ZO2: Scalable Zeroth-Order Fine-Tuning for Extremely Large Language Models with Limited GPU Memory.

Liangyu Wang, Jie Ren, Hang Xu, Junxiao Wang, Huanyi Xie, David E. Keyes, Di Wang

CoRR, March, 2025

Evaluating Data Influence in Meta Learning.

Chenyang Ren, Huanyi Xie, Shu Yang, Meng Ding, Lijie Hu, Di Wang

CoRR, January, 2025

Semi-Supervised Concept Bottleneck Models.

Lijie Hu, Tianhao Huang, Huanyi Xie, Xilin Gong, Chenyang Ren, Zhengyu Hu, Lu Yu, Ping Ma, Di Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Dissecting Misalignment of Multimodal Large Language Models via Influence Function.

Lijie Hu, Chenyang Ren, Huanyi Xie, Khouloud Saadi, Shu Yang, Jingfeng Zhang, Di Wang

CoRR, 2024

Semi-supervised Concept Bottleneck Models.

Lijie Hu, Tianhao Huang, Huanyi Xie, Chenyang Ren, Zhengyu Hu, Lu Yu, Di Wang

CoRR, 2024