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RareAgents: Autonomous Multi-disciplinary Team for Rare Disease Diagnosis and Treatment

Xuanzhong Chen, Ye Jin, Xiaohao Mao, Lun Wang, Shuyang Zhang, Ting Chen

January 2025 arXiv preprint arXiv:2412.12475

VividMed: Vision Language Model with Versatile Visual Grounding for Medicine

Lingxiao Luo, Bingda Tang, Xuanzhong Chen, Rong Han, Ting Chen

January 2025 arXiv preprint arXiv:2410.12694

Rag2Mol: Structure-based drug design based on Retrieval Augmented Generation

Pei-Dong Zhang, Xingang Peng, Rong Han, Ting Chen, Jianzhu Ma

January 2025 RECOMB 2025

CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction

Rong Han, Xiaohong Liu, Tong Pan, Jing Xu, Xiaoyu Wang, Wuyang Lan, Zhenyu Li, Zixuan Wang, Jiangning Song, Guangyu Wang, others

January 2025 AAAI 2025

HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multitask Learning

Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, Jun Zhou, Ting Chen

January 2025 AAAI 2025

RareBench: Can LLMs Serve as Rare Diseases Specialists?

Xuanzhong Chen, Xiaohao Mao, Qihan Guo, Lun Wang, Shuyang Zhang, Ting Chen

August 2024 KDD 2024

DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization

Wenze Chen, Shiyu Huang, Yuan Chiang, T Pearce, W Tu, Ting Chen, Jun Zhu

January 2024 AAAI 2024

DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection

Xuan Zhang, Shiyu Li, Xi Li, Ping Huang, Jiulong Shan, Ting Chen

February 2023 CVPR 2023

BSODA: a bipartite scalable framework for online disease diagnosis

Weijie He, Xiaohao Mao, Chao Ma, Yu Huang, José Miguel Hernàndez-Lobato, Ting Chen

January 2022 Proceedings of the ACM Web Conference 2022

Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning

Weijie He, Ting Chen

January 2022 Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining