Yao Su

20 papers A* 3B 2Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Clinical-Aware Latent Diffusion for Multimodal Brain Image Generation and Missing Modality Imputation.
CoRR
Rong Zhou, Houliang Zhou, Yao Su, Brian Y. Chen, Yu Zhang, Lifang He, Alzheimer's Disease Neuroimaging Initiative
2026 J jnl
Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models.
CoRR
Rong Zhou, Dongping Chen, Zihan Jia, Yao Su, Yixin Liu, Yiwen Lu, Dongwei Shi, Yue Huang, Tianyang Xu, Yi Pan, Xinliang Li, Yohannes Abate, Qingyu Chen, Zhengzhong Tu, Yu Yang, Yu Zhang, Qingsong Wen, Gengchen Mai, Sunyang Fu, Jiachen Li, Xuyu Wang, Ziran Wang, Jing Huang, Tianming Liu, Yong Chen, Lichao Sun, Lifang He
2025 J jnl
A Survey on Post-training of Large Language Models.
CoRR
Guiyao Tie, Zeli Zhao, Dingjie Song, Fuyang Wei, Rong Zhou, Yurou Dai, Wen Yin, Zhejian Yang, Jiangyue Yan, Yao Su, Zhenhan Dai, Yifeng Xie, Yihan Cao, Lichao Sun, Pan Zhou, Lifang He, Hechang Chen, Yu Zhang, Qingsong Wen, Tianming Liu, Neil Zhenqiang Gong, Jiliang Tang, Caiming Xiong, Heng Ji, Philip S. Yu, Jianfeng Gao
2025 — conf
Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis.
ACL (Findings)
Yicheng Lang, Kehan Guo, Yue Huang, Yujun Zhou, Haomin Zhuang, Tianyu Yang, Yao Su, Xiangliang Zhang
2025 J jnl
Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis.
CoRR
Yicheng Lang, Kehan Guo, Yue Huang, Yujun Zhou, Haomin Zhuang, Tianyu Yang, Yao Su, Xiangliang Zhang
2025 — conf
End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework.
AAAI Spring Symposia
Yao Su, Keqi Han, Mingjie Zeng, Lichao Sun, Liang Zhan, Carl Yang, Lifang He, Xiangnan Kong
2025 J jnl
End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework.
CoRR
Yao Su, Keqi Han, Mingjie Zeng, Lichao Sun, Liang Zhan, Carl Yang, Lifang He, Xiangnan Kong
2025 J jnl
KANMixer: Can KAN Serve as a New Modeling Core for Long-term Time Series Forecasting?
CoRR
Lingyu Jiang, Yuping Wang, Yao Su, Shuo Xing, Wenjing Chen, Xin Zhang, Zhengzhong Tu, Ziming Zhang, Fangzhou Lin, Michael R. Zielewski, Kazunori D. Yamada
2025 J jnl
Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help?
CoRR
Keqi Han, Yao Su, Lifang He, Liang Zhan, Sergey M. Plis, Vince D. Calhoun, Carl Yang
2024 J jnl
Pluto: Sample Selection for Robust Anomaly Detection on Polluted Log Data.
Proc. ACM Manag. Data
Lei Ma, Lei Cao, Peter M. VanNostrand, Dennis M. Hofmann, Yao Su, Elke A. Rundensteiner
2024 B conf
SkipSNN: Efficiently Classifying Spike Trains with Event-attention.
IEEE Big Data
Hang Yin, Yao Su, Liping Liu, Thomas Hartvigsen, Xin Dai, Xiangnan Kong
2024 J jnl
SkipSNN: Efficiently Classifying Spike Trains with Event-attention.
CoRR
Hang Yin, Yao Su, Liping Liu, Thomas Hartvigsen, Xin Dai, Xiangnan Kong
2023 B conf
Multi-State Brain Network Discovery.
IEEE Big Data
Hang Yin, Yao Su, Xinyue Liu, Thomas Hartvigsen, Yanhua Li, Xiangnan Kong
2023 J jnl
Multi-State Brain Network Discovery.
CoRR
Hang Yin, Yao Su, Xinyue Liu, Thomas Hartvigsen, Yanhua Li, Xiangnan Kong
2023 A* conf
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data.
KDD
Yao Su, Zhentian Qian, Lei Ma, Lifang He, Xiangnan Kong
2023 J jnl
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data.
CoRR
Yao Su, Zhentian Qian, Lei Ma, Lifang He, Xiangnan Kong
2022 A* conf
ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration.
ICDM
Yao Su, Xin Dai, Lifang He, Xiangnan Kong
2022 J jnl
ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration.
CoRR
Yao Su, Xin Dai, Lifang He, Xiangnan Kong
2022 A* conf
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data.
KDD
Yao Su, Zhentian Qian, Lifang He, Xiangnan Kong
2022 J jnl
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data.
CoRR
Yao Su, Zhentian Qian, Lifang He, Xiangnan Kong