ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration. - Yao Su 003; Xin Dai; Lifang He 001; Xiangnan Kong (ICDM, 2022)

ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data. - Yao Su 003; Zhentian Qian; Lifang He 001; Xiangnan Kong (KDD, 2022)

Multi-State Brain Network Discovery. - Hang Yin; Yao Su 003; Xinyue Liu 003; Thomas Hartvigsen; Yanhua Li; Xiangnan Kong (IEEE Big Data, 2023)

One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data. - Yao Su 003; Zhentian Qian; Lei Ma; Lifang He 001; Xiangnan Kong (KDD, 2023)

SkipSNN: Efficiently Classifying Spike Trains with Event-attention. - Hang Yin; Yao Su 003; Liping Liu; Thomas Hartvigsen; Xin Dai; Xiangnan Kong (IEEE Big Data, 2024)

Pluto: Sample Selection for Robust Anomaly Detection on Polluted Log Data. - Lei Ma; Lei Cao 004; Peter M. VanNostrand; Dennis M. Hofmann; Yao Su 003; Elke A. Rundensteiner (Proc. ACM Manag. Data, 2024)

End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework. - Yao Su 003; Keqi Han; Mingjie Zeng; Lichao Sun 001; Liang Zhan; Carl Yang 001; Lifang He 001; Xiangnan Kong (AAAI Spring Symposia, 2025)

Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis. - Yicheng Lang; Kehan Guo; Yue Huang 001; Yujun Zhou 010; Haomin Zhuang; Tianyu Yang; Yao Su 003; Xiangliang Zhang 001 (ACL (Findings), 2025)

Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help? - Keqi Han; Yao Su 003; Lifang He 001; Liang Zhan; Sergey M. Plis; Vince D. Calhoun; Carl Yang 001 (CoRR, 2025)

Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis. - Yicheng Lang; Kehan Guo; Yue Huang 001; Yujun Zhou 002; Haomin Zhuang; Tianyu Yang; Yao Su 003; Xiangliang Zhang 001 (CoRR, 2025)

A Survey on Post-training of Large Language Models. - Guiyao Tie; Zeli Zhao; Dingjie Song; Fuyang Wei; Rong Zhou; Yurou Dai; Wen Yin; Zhejian Yang; Jiangyue Yan; Yao Su 003; Zhenhan Dai; Yifeng Xie; et al. (CoRR, 2025)

KANMixer: Can KAN Serve as a New Modeling Core for Long-term Time Series Forecasting? - Lingyu Jiang; Yuping Wang; Yao Su 003; Shuo Xing; Wenjing Chen; Xin Zhang; Zhengzhong Tu; Ziming Zhang; Fangzhou Lin; Michael R. Zielewski; Kazunori D. Yamada (CoRR, 2025)