| 2026 | ACL | Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models. | Wei Wu, Liyi Chen, Congxi Xiao, Tianfu Wang, Qimeng Wang, Chengqiang Lu, Yan Gao, Yi Wu, Yao Hu, Hui Xiong |
| 2026 | KDD | HumanLLM: Towards Personalized Understanding and Simulation of Human Nature. | Yuxuan Lei, Tianfu Wang, Jianxun Lian, Zhengyu Hu, Defu Lian, Xing Xie |
| 2025 | CVPR | Flash-Split: 2D Reflection Removal with Flash Cues and Latent Diffusion Separation. | Tianfu Wang, Mingyang Xie, Haoming Cai, Sachin Shah, Christopher A. Metzler |
| 2025 | CVPR | Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation. | Jingxi Chen, Brandon Y. Feng, Haoming Cai, Tianfu Wang, Levi Burner, Dehao Yuan, Cornelia Fermller, Christopher A. Metzler, Yiannis Aloimonos |
| 2025 | EMNLP | Explaining Length Bias in LLM-Based Preference Evaluations. | Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Tianfu Wang, Zhengyu Chen, Nicholas Jing Yuan, Jianxun Lian, Kaize Ding, Hui Xiong |
| 2025 | EMNLP | TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection. | Wei Wu, Zhuoshi Pan, Kun Fu, Chao Wang, Liyi Chen, Yunchu Bai, Tianfu Wang, Zheng Wang, Hui Xiong |
| 2025 | ICASSP | MMFN: Multi-Feature Multi-Modal Fusion Network for Diagnosis of Superficial Lymph Node Disease. | Yuankun Wang, Cheng Zhao, Yingxin Liu, Baiying Lei, Tianfu Wang, Luyao Zhou |
| 2025 | ICDE | Exact and Efficient Similar Subtrajectory Search: Integrating Constraints and Simplification. | Liwei Deng, Fei Wang, Tianfu Wang, Yan Zhao, Yuyang Xia, Kai Zheng |
| 2025 | IJCAI | CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models. | Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang |
| 2025 | MICCAI | Anatomy-Guided Multimodal Graph Networks for Alzheimer's Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures. | Wenzheng Hu, Zhenghua Guan, Peng Yang, Jiaqiang Li, Yi Liu, Shushen Gan, Tuo Cai, Ao Zhang, Tengda Zhang, Junlong Qu, Shaolong Wang, Gege Cai, Xiang Dong, Tianfu Wang, Baiying Lei |
| 2025 | WWW | LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System. | Tianfu Wang, Yi Zhan, Jianxun Lian, Zhengyu Hu, Nicholas Jing Yuan, Qi Zhang, Xing Xie, Hui Xiong |
| 2024 | CVPR | Object Pose Estimation via the Aggregation of Diffusion Features. | Tianfu Wang, Guosheng Hu, Hongguang Wang |
| 2024 | ECCV | DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control. | Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov |
| 2024 | IJCAI | FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation. | Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong |
| 2024 | IJCAI | DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. | Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Yanyong Zhang |
| 2024 | KDD | COMET: NFT Price Prediction with Wallet Profiling. | Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong |
| 2024 | MICCAI | Multimodality Frequency Feature Customized Learning for Pediatric Ventricular Septal Defects Identification. | Feifei Jin, Cheng Zhao, Peng Yang, Zhuo Xiang, Xunyi Chen, Yu Zhang, Shumin Fan, Luyao Zhou, Weiling Chen, Tianfu Wang, Baiying Lei |
| 2024 | MICCAI | DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models. | Yingpeng Xie, Junlong Qu, Hai Xie, Tianfu Wang, Baiying Lei |
| 2023 | BMVC | Breathing New Life into 3D Assets with Generative Repainting. | Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov |
| 2022 | ICIP | Improving IQA Performance Based on Deep Mutual Learning. | Guanghui Yue, Di Cheng, Honglv Wu, Qiuping Jiang, Tianfu Wang |
| 2022 | MICCAI | Hybrid Network Based on Cross-Modal Feature Fusion for Diagnosis of Alzheimer's Disease. | Zifeng Qiu, Peng Yang, Tianfu Wang, Baiying Lei |
| 2022 | MICCAI | Multi-channel Residual Neural Network Based on Squeeze-and-Excitation for Osteoporosis Diagnosis. | Chunmei Xia, Yue Ding, Jionglin Wu, Wenqiang Luo, Peidong Guo, Tianfu Wang, Baiying Lei |
| 2022 | MICCAI | Swin Faster R-CNN for Senescence Detection of Mesenchymal Stem Cells in Bright-Field Images. | Chunlun Xiao, Mingzhu Li, Liangge He, Xuegang Song, Tianfu Wang, Baiying Lei |
| 2022 | VCIP | Multi-information Aggregation Network for Fundus Image Quality Assessment. | Yuan Li, Guanghui Yue, Lvyin Duan, Honglv Wu, Tianfu Wang |
| 2021 | ICIG | CEID: Benchmark Dataset for Designing Segmentation Algorithms of Instruments Used in Colorectal Endoscopy. | Wanwan Han, Guanghui Yue, Lvyin Duan, Xue Bai, Jingfeng Du, Tianwei Zhou, Tianfu Wang |
| 2021 | ICIG | Semi-supervised Attention-Guided VNet for Breast Cancer Detection via Multi-task Learning. | Yiyao Liu, Yi Yang, Wei Jiang, Tianfu Wang, Baiying Lei |
| 2021 | ICIG | Semi-supervised Yolo Network for Induced Pluripotent Stem Cells Detection. | Xinglie Wang, Jinqi Liao, Guanghui Yue, Liangge He, Mingzhu Li, Enmin Liang, Tianfu Wang, Guangqian Zhou, Baiying Lei |
| 2021 | ICIG | CD Loss: A Class-Center Based Distribution Loss for Discriminative Feature Learning in Medical Image Classification. | Yanhong Zhou, Jie Du, Yujian Liu, Yali Qiu, Tianfu Wang |
| 2021 | MICCAI | A Method for Predicting Alzheimer's Disease Based on the Fusion of Single Nucleotide Polymorphisms and Magnetic Resonance Feature Extraction. | Yafeng Li, Yiyao Liu, Tianfu Wang, Baiying Lei |
| 2020 | AAAI | High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation. | Mohammad Hamghalam, Baiying Lei, Tianfu Wang |
| 2020 | MICCAI | Self-weighted Multi-task Learning for Subjective Cognitive Decline Diagnosis. | Nina Cheng, Alejandro Frangi, Zhiguo Zhang, Denao Deng, Lihua Zhao, Tianfu Wang, Yichen Wei, Bihan Yu, Wei Mai, Gaoxiong Duan, Xiucheng Nong, Chong Li, Jiahui Su, Baiying Lei |
| 2020 | MICCAI | Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease. | Xuegang Song, Alejandro F. Frangi, Xiaohua Xiao, Jiuwen Cao, Tianfu Wang, Baiying Lei |
| 2020 | MICCAI | Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder. | Peng Yang, Qiong Yang, Wei Zheng, Li Shen, Tianfu Wang, Ziwen Peng, Baiying Lei |
| 2020 | MICCAI | Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection. | Shuangzhi Yu, Shuqiang Wang, Xiaohua Xiao, Jiuwen Cao, Guanghui Yue, Dongdong Liu, Tianfu Wang, Yanwu Xu, Baiying Lei |
| 2020 | MICCAI | An Automated Aggressive Posterior Retinopathy of Prematurity Diagnosis System by Squeeze and Excitation Hierarchical Bilinear Pooling Network. | Rugang Zhang, Jinfeng Zhao, Guozhen Chen, Hai Xie, Guanghui Yue, Tianfu Wang, Guoming Zhang, Baiying Lei |
| 2019 | MICCAI | Automated Stage Analysis of Retinopathy of Prematurity Using Joint Segmentation and Multi-instance Learning. | Guozhen Chen, Jinfeng Zhao, Rugang Zhang, Tianfu Wang, Guoming Zhang, Baiying Lei |
| 2019 | MICCAI | ARVBNet: Real-Time Detection of Anatomical Structures in Fetal Ultrasound Cardiac Four-Chamber Planes. | Jinbao Dong, Shengfeng Liu, Tianfu Wang |
| 2019 | MICCAI | Deep Learning via Fused Bidirectional Attention Stacked Long Short-Term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk Screening. | Chiyu Feng, Lili Jin, Chuangyong Xu, Peng Yang, Tianfu Wang, Baiying Lei, Ziwen Peng |
| 2019 | MICCAI | Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation. | Libao Guo, Yujin Hu, Baiying Lei, Jie Du, Muyi Mao, Zelong Jin, Bei Xia, Tianfu Wang |
| 2019 | MICCAI | Multi-template Based Auto-Weighted Adaptive Structural Learning for ASD Diagnosis. | Fanglin Huang, Peng Yang, Shan Huang, Le Ou-Yang, Tianfu Wang, Baiying Lei |
| 2019 | MICCAI | SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound Images. | Jiajun Liang, Rian Huang, Peiyao Kong, Shengli Li, Tianfu Wang, Baiying Lei |
| 2019 | MICCAI | OCD Diagnosis via Smoothing Sparse Network and Stacked Sparse Auto-Encoder Learning. | Peng Yang, Lili Jin, Chuangyong Xu, Tianfu Wang, Baiying Lei, Ziwen Peng |
| 2019 | MICCAI | Multi-scale Graph Convolutional Network for Mild Cognitive Impairment Detection. | Shuangzhi Yu, Guanghui Yue, Ahmed Elazab, Xuegang Song, Tianfu Wang, Baiying Lei |
| 2019 | MICCAI | Aggressive Posterior Retinopathy of Prematurity Automated Diagnosis via a Deep Convolutional Network. | Rugang Zhang, Jinfeng Zhao, Guozhen Chen, Tianfu Wang, Guoming Zhang, Baiying Lei |
| 2018 | ICPR | Skin Lesion Segmentation via Dense Connected Deconvolutional Network. | Hang Li, Xinzi He, Zhen Yu, Feng Zhou, Jie-Zhi Cheng, Limin Huang, Tianfu Wang, Baiying Lei |
| 2018 | MICCAI | 3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer's Disease Diagnosis. | Chiyu Feng, Ahmed El-Azab, Peng Yang, Tianfu Wang, Baiying Lei, Xiaohua Xiao |
| 2018 | MICCAI | Automatic and Efficient Standard Plane Recognition in Fetal Ultrasound Images via Multi-scale Dense Networks. | Peiyao Kong, Dong Ni, Siping Chen, Shengli Li, Tianfu Wang, Baiying Lei |
| 2018 | MICCAI | Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN. | Zehui Lin, Minh Hung Le, Dong Ni, Siping Chen, Shengli Li, Tianfu Wang, Baiying Lei |
| 2018 | MICCAI | Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound. | Na Wang, Cheng Bian, Yi Wang, Min Xu, Chenchen Qin, Xin Yang, Tianfu Wang, Anhua Li, Dinggang Shen, Dong Ni |
| 2017 | MICCAI | Skin Lesion Segmentation via Deep RefineNet. | Xinzi He, Zhen Yu, Tianfu Wang, Baiying Lei |
| 2017 | MICCAI | Aggregating Deep Convolutional Features for Melanoma Recognition in Dermoscopy Images. | Zhen Yu, Xudong Jiang, Tianfu Wang, Bai Ying Lei |
| 2016 | MICCAI | Bridging Computational Features Toward Multiple Semantic Features with Multi-task Regression: A Study of CT Pulmonary Nodules. | Sihong Chen, Dong Ni, Jing Qin, Bai Ying Lei, Tianfu Wang, Jie-Zhi Cheng |
| 2016 | MICCAI | Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression. | Dong Ni, Xing Ji, Yaozong Gao, Jie-Zhi Cheng, Huifang Wang, Jing Qin, Bai Ying Lei, Tianfu Wang, Guorong Wu, Dinggang Shen |
| 2015 | MICCAI | Joint Learning of Multiple Longitudinal Prediction Models by Exploring Internal Relations. | Bai Ying Lei, Siping Chen, Dong Ni, Tianfu Wang |
| 2014 | ICDM | Segmentation and Splitting of Touching Vaginal Bacteria Based on Superpixel and Effective Distance. | Youyi Song, Dong Ni, Liang He, Siping Chen, Bai Ying Lei, Tianfu Wang |
| 2014 | ISCAS | A multimodal investigation of in vivo muscle behavior: System design and data analysis. | Xin Chen, Sheng Zhong, Yangyang Niu, Siping Chen, Tianfu Wang, Shing-Chow Chan, Zhiguo Zhang |
| 2013 | ICIP | Object recognition based on adapative bag of feature and discriminative learning. | Bai Ying Lei, Tianfu Wang, Siping Chen, Dong Ni, Haijun Lei |
| 2013 | MICCAI | Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound. | Dong Ni, Tianmei Li, Xin Yang, Jing Qin, Shengli Li, Chien Ting Chin, Shuyuan Ouyang, Tianfu Wang, Siping Chen |
| 2006 | ISNN | Recognition of Fatty Liver Using Hybrid Neural Network. | Jiangli Lin, XianHua Shen, Tianfu Wang, Deyu Li, Yan Luo, Ling Wang |