Semi-supervised Concept Bottleneck Models. - Lijie Hu; Tianhao Huang; Huanyi Xie; Chenyang Ren; Zhengyu Hu; Lu Yu; Di Wang 015 (CoRR, 2024)

Dissecting Misalignment of Multimodal Large Language Models via Influence Function. - Lijie Hu; Chenyang Ren; Huanyi Xie; Khouloud Saadi; Shu Yang 010; Jingfeng Zhang; Di Wang 015 (CoRR, 2024)

Evaluating Data Influence in Meta Learning. - Chenyang Ren; Huanyi Xie; Shu Yang 010; Meng Ding; Lijie Hu; Di Wang 015 (CoRR, 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, 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 005; Di Wang 015 (CoRR, 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 015 (CoRR, 2025)

DistZO2: High-Throughput and Memory-Efficient Zeroth-Order Fine-tuning LLMs with Distributed Parallel Computing. - Liangyu Wang; Huanyi Xie; Di Wang (CoRR, 2025)

Attributing Data for Sharpness-Aware Minimization. - Chenyang Ren; Yifan Jia; Huanyi Xie; Zhaobin Xu; Tianxing Wei; Liangyu Wang; Lijie Hu; Di Wang (CoRR, 2025)