Ting Chen

89 papers A* 10A 1B 8C 2Misc 2Journal 47Unranked 17
YearRankTypeTitle / Venue / Authors
2026 A* conf
RareAgents: Autonomous Multi-disciplinary Team for Rare Disease Diagnosis and Treatment.
AAAI
Xuanzhong Chen, Ye Jin, Xiaohao Mao, Lun Wang, Shuyang Zhang, Ting Chen
2025 J jnl
A phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs.
npj Digit. Medicine
Xiaohao Mao, Yu Huang, Ye Jin, Lun Wang, Xuanzhong Chen, Honghong Liu, Xinglin Yang, Haopeng Xu, Xiaodong Luan, Ying Xiao, Siqin Feng, Jiahao Zhu, Xuegong Zhang, Rui Jiang, Shuyang Zhang, Ting Chen
2025 A* conf
CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction.
AAAI
Rong Han, Xiaohong Liu, Tong Pan, Jing Xu, Xiaoyu Wang, Wuyang Lan, Zhenyu Li, Zixuan Wang, Jiangning Song, Guangyu Wang, Ting Chen
2025 J jnl
Escaping the Drug-Bias Trap: Using Debiasing Design to Improve Interpretability and Generalization of Drug-Target Interaction Prediction.
IEEE Trans. Comput. Biol. Bioinform.
Peidong Zhang, Jianzhu Ma, Ting Chen
2025 A* conf
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning.
AAAI
Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, Jun Zhou, Ting Chen
2025 J jnl
MyClone: rapid and precise reconstruction of clonal population structures for tumors.
BMC Bioinform.
Qihan Guo, Dan Lv, Bo Lan, Haili Qian, Fei Ma, Ting Chen
2025 B conf
Rag2Mol: Structure-Based Drug Design Based on Retrieval Augmented Generation.
RECOMB
Peidong Zhang, Xingang Peng, Rong Han, Ting Chen, Jianzhu Ma
2025 J jnl
Rag2Mol: structure-based drug design based on retrieval augmented generation.
Briefings Bioinform.
Peidong Zhang, Xingang Peng, Rong Han, Ting Chen, Jianzhu Ma
2025 — conf
VividMed: Vision Language Model with Versatile Visual Grounding for Medicine.
NAACL (Long Papers)
Lingxiao Luo, Bingda Tang, Xuanzhong Chen, Rong Han, Ting Chen
2024 J jnl
CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction.
CoRR
Rong Han, Xiaohong Liu, Tong Pan, Jing Xu, Xiaoyu Wang, Wuyang Lan, Zhenyu Li, Zixuan Wang, Jiangning Song, Guangyu Wang, Ting Chen
2024 A* conf
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization.
AAAI
Wentse Chen, Shiyu Huang, Yuan Chiang, Tim Pearce, Wei-Wei Tu, Ting Chen, Jun Zhu
2024 J jnl
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multitask Learning.
CoRR
Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, Jun Zhou, Ting Chen
2024 J jnl
RareAgents: Autonomous Multi-disciplinary Team for Rare Disease Diagnosis and Treatment.
CoRR
Xuanzhong Chen, Ye Jin, Xiaohao Mao, Lun Wang, Shuyang Zhang, Ting Chen
2024 A* conf
RareBench: Can LLMs Serve as Rare Diseases Specialists?
KDD
Xuanzhong Chen, Xiaohao Mao, Qihan Guo, Lun Wang, Shuyang Zhang, Ting Chen
2024 J jnl
RareBench: Can LLMs Serve as Rare Diseases Specialists?
CoRR
Xuanzhong Chen, Xiaohao Mao, Qihan Guo, Lun Wang, Shuyang Zhang, Ting Chen
2024 J jnl
VividMed: Vision Language Model with Versatile Visual Grounding for Medicine.
CoRR
Lingxiao Luo, Bingda Tang, Xuanzhong Chen, Rong Han, Ting Chen
2023 A conf
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization.
AAMAS
Wenze Chen, Shiyu Huang, Yuan Chiang, Ting Chen, Jun Zhu
2023 J jnl
Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames.
Briefings Bioinform.
Yiming Xu, Bowen Zheng, Xiaohong Liu, Tao Wu, Jinxiu Ju, Shi-jie Wang, Yufan Lian, Hongjun Zhang, Tong Liang, Ye Sang, Rui Jiang, Guangyu Wang, Jie Ren, Ting Chen
2023 J jnl
Pre-trained Universal Medical Image Transformer.
CoRR
Lingxiao Luo, Xuanzhong Chen, Bingda Tang, Xinsheng Chen, Chengpeng Hu, Yujiang Li, Rong Han, Ting Chen
2023 — conf
Research on cooperative UAV countermeasure strategy based on interception triangle.
ICMLCA
Shuyu Liu, Ting Chen, Tiantian Zhao, Shanshan Liu, Chao Ma
2022 A* conf
BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis.
WWW
Weijie He, Xiaohao Mao, Chao Ma, Yu Huang, José Miguel Hernández-Lobato, Ting Chen
2022 J jnl
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization.
CoRR
Wenze Chen, Shiyu Huang, Yuan Chiang, Ting Chen, Jun Zhu
2022 J jnl
Explainable Dynamic Multimodal Variational Autoencoder for the Prediction of Patients With Suspected Central Precocious Puberty.
IEEE J. Biomed. Health Informatics
Yiming Xu, Xiaohong Liu, Liyan Pan, Xiaojian Mao, Huiying Liang, Guangyu Wang, Ting Chen
2022 J jnl
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data.
CoRR
Wenkai Li, Cheng Feng, Ting Chen, Jun Zhu
2022 J jnl
StackVAE-G: An efficient and interpretable model for time series anomaly detection.
AI Open
Wenkai Li, Wenbo Hu, Ting Chen, Ning Chen, Cheng Feng
2022 C conf
VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators.
CoG
Shiyu Huang, Chao Yu, Bin Wang, Dong Li, Yu Wang, Ting Chen, Jun Zhu
2022 B conf
Yolo-SG: Salience-Guided Detection Of Small Objects In Medical Images.
ICIP
Rong Han, Xiaohong Liu, Ting Chen
2021 B conf
Deep Active Learning For Fibrosis Segmentation Of Chest CT Scans From Covid-19 Patients.
ICIP
Xiaohong Liu, Kai Wang, Ting Chen
2021 — conf
Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic.
PRICAI (3)
Shiyu Huang, Bin Wang, Hang Su, Dong Li, Jianye Hao, Jun Zhu, Ting Chen
2021 J jnl
Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization.
CoRR
Shiyu Huang, Bin Wang, Dong Li, Jianye Hao, Ting Chen, Jun Zhu
2021 J jnl
TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations.
CoRR
Shiyu Huang, Wenze Chen, Longfei Zhang, Ziyang Li, Fengming Zhu, Deheng Ye, Ting Chen, Jun Zhu
2021 J jnl
kLDM: Inferring Multiple Metagenomic Association Networks Based on the Variation of Environmental Factors.
Genom. Proteom. Bioinform.
Yuqing Yang, Xin Wang, Kaikun Xie, Congmin Zhu, Ning Chen, Ting Chen
2021 J jnl
redPATH: Reconstructing the Pseudo Development Time of Cell Lineages in Single-cell RNA-seq Data and Applications in Cancer.
Genom. Proteom. Bioinform.
Kaikun Xie, Zehua Liu, Ning Chen, Ting Chen
2020 — conf
Anterior Segment Eye Lesion Segmentation with Advanced Fusion Strategies and Auxiliary Tasks.
MICCAI (5)
Ke Wang, Xiaohong Liu, Kang Zhang, Ting Chen, Guangyu Wang
2020 — conf
Attention U-net for Interpretable Classification on Chest X-ray Image.
BIBM
Xuan Zhang, Ting Chen
2020 A* conf
Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding.
IJCAI
Ke Wang, Xuyan Chen, Ning Chen, Ting Chen
2020 J jnl
FIT: a Fast and Accurate Framework for Solving Medical Inquiring and Diagnosing Tasks.
CoRR
Weijie He, Xiaohao Mao, Chao Ma, José Miguel Hernández-Lobato, Ting Chen
2020 B conf
Joint Medical Ontology Representation Learning for Healthcare Predictions.
IJCNN
Ke Wang, Ning Chen, Ting Chen
2020 — conf
KISEG: A Three-Stage Segmentation Framework for Multi-level Acceleration of Chest CT Scans from COVID-19 Patients.
MICCAI (4)
Xiaohong Liu, Kai Wang, Ke Wang, Ting Chen, Kang Zhang, Guangyu Wang
2020 A* conf
SVQN: Sequential Variational Soft Q-Learning Networks.
ICLR
Shiyu Huang, Hang Su, Jun Zhu, Ting Chen
2019 — conf
Bone Age Assessment by Deep Convolutional Neural Networks Combined with Clinical TW3-RUS.
BIBM
Xiaohong Liu, Guangyu Wang, Yiming Xu, Ning Chen, Ting Chen
2019 A* conf
Combo-Action: Training Agent For FPS Game with Auxiliary Tasks.
AAAI
Shiyu Huang, Hang Su, Jun Zhu, Ting Chen
2019 — conf
Computer-aided Diagnosis of Ambulatory Electrocardiograms via ASRS: Active-Selection-Random-Selection.
ICHI
Xuan Zhang, Guangyu Wang, Ning Chen, Ting Chen
2019 A* conf
DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data.
ICDM
Yujuan Feng, Zhenxing Xu, Lin Gan, Ning Chen, Bin Yu, Ting Chen, Fei Wang
2019 J jnl
DeepShape: estimating isoform-level ribosome abundance and distribution with Ribo-seq data.
BMC Bioinform.
Hongfei Cui, Hailin Hu, Jianyang Zeng, Ting Chen
2019 — conf
DeepTriager: A Neural Attention Model for Emergency Triage with Electronic Health Records.
BIBM
Guangyu Wang, Xiaohong Liu, Ken Xie, Ning Chen, Ting Chen
2019 — conf
How Robust is Your Automatic Diagnosis Model?
BIBM
Ke Wang, Guangyu Wang, Ning Chen, Ting Chen
2019 J jnl
Ontology-based venous thromboembolism risk assessment model developing from medical records.
BMC Medical Informatics Decis. Mak.
Yuqing Yang, Xin Wang, Yu Huang, Ning Chen, Juhong Shi, Ting Chen
2018 — ch.
Approximation Algorithms for the Selection of Robust Tag SNPs.
Handbook of Approximation Algorithms and Metaheuristics (2)
Yao-Ting Huang, Kui Zhang, Ting Chen, Kun-Mao Chao
2018 J jnl
Dropout training for SVMs with data augmentation.
Frontiers Comput. Sci.
Ning Chen, Jun Zhu, Jianfei Chen, Ting Chen
2018 — conf
Ontology-based Venous Thromboembolism Risk Factors Mining and Model Developing from Medical Records.
BIBM
Yuqing Yang, Xin Wang, Yu Huang, Ning Chen, Juhong Shi, Ting Chen
2017 J jnl
COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge.
Bioinform.
Yang Young Lu, Ting Chen, Jed A. Fuhrman, Fengzhu Sun
2017 J jnl
Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding.
Bioinform.
Xu Min, Wanwen Zeng, Ning Chen, Ting Chen, Rui Jiang
2017 J jnl
DACE: a scalable DP-means algorithm for clustering extremely large sequence data.
Bioinform.
Linhao Jiang, Yichao Dong, Ning Chen, Ting Chen
2017 J jnl
Elastic restricted Boltzmann machines for cancer data analysis.
Quant. Biol.
Sai Zhang, Muxuan Liang, Zhongjun Zhou, Chen Zhang, Ning Chen, Ting Chen, Jianyang Zeng
2017 — conf
Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes.
BIBM
Mengmeng Wu, Wanwen Zeng, Wenqiang Liu, Yijia Zhang, Ting Chen, Rui Jiang
2017 — conf
Patient outcome prediction via convolutional neural networks based on multi-granularity medical concept embedding.
BIBM
Yujuan Feng, Xu Min, Ning Chen, Hu Chen, Xiaolei Xie, Haibo Wang, Ting Chen
2017 J jnl
Predicting enhancers with deep convolutional neural networks.
BMC Bioinform.
Xu Min, Wanwen Zeng, Shengquan Chen, Ning Chen, Ting Chen, Rui Jiang
2017 J jnl
Reading the Underlying Information From Massive Metagenomic Sequencing Data.
Proc. IEEE
Xuegong Zhang, Shansong Liu, Hongfei Cui, Ting Chen
2016 — conf
DeepEnhancer: Predicting enhancers by convolutional neural networks.
BIBM
Xu Min, Ning Chen, Ting Chen, Rui Jiang
2016 J jnl
Global inference of disease-causing single nucleotide variants from exome sequencing data.
BMC Bioinform.
Mengmeng Wu, Ting Chen, Rui Jiang
2016 J jnl
TACO: Taxonomic prediction of unknown OTUs through OTU co-abundance networks.
Quant. Biol.
Zohreh Baharvand Irannia, Ting Chen
2016 J jnl
Whole genome sequencing and its applications in medical genetics.
Quant. Biol.
Jiaxin Wu, Mengmeng Wu, Ting Chen, Rui Jiang
2016 B conf
mLDM: A New Hierarchical Bayesian Statistical Model for Sparse Microbial Association Discovery.
RECOMB
Yuqing Yang, Ning Chen, Ting Chen
2015 J jnl
Dropout Training for SVMs with Data Augmentation.
CoRR
Ning Chen, Jun Zhu, Jianfei Chen, Ting Chen
2015 J jnl
Global optimization-based inference of chemogenomic features from drug-target interactions.
Bioinform.
Songpeng Zu, Ting Chen, Shao Li
2015 J jnl
Integrative Data Analysis of Multi-Platform Cancer Data with a Multimodal Deep Learning Approach.
IEEE ACM Trans. Comput. Biol. Bioinform.
Muxuan Liang, Zhizhong Li, Ting Chen, Jianyang Zeng
2015 J jnl
Network-based method to infer the contributions of proteins to the etiology of drug side effects.
Quant. Biol.
Rui Li, Ting Chen, Shao Li
2014 J jnl
Integrative approaches for predicting protein function and prioritizing genes for complex phenotypes using protein interaction networks.
Briefings Bioinform.
Xiaotu Ma, Ting Chen, Fengzhu Sun
2012 J jnl
Preface: Special Issue.
J. Comput. Biol.
Ting Chen, Paul Marjoram, Fengzhu Sun, Xianghong Jasmine Zhou
2009 J jnl
Bayesian Models and Gibbs Sampling Strategies for Local Graph Alignment and Motif Identification in Stochastic Biological Networks.
Commun. Inf. Syst.
Ting Chen, Rui Jiang, Fengzhu Sun
2007 — ch.
Approximation Algorithms for the Selection of Robust Tag SNPs.
Handbook of Approximation Algorithms and Metaheuristics
Kui Zhang, Kun-Mao Chao, Yao-Ting Huang, Ting Chen
2006 J jnl
An integrated approach to the prediction of domain-domain interactions.
BMC Bioinform.
Hyunju Lee, Minghua Deng, Fengzhu Sun, Ting Chen
2006 — conf
An integrative approach for causal gene identification and gene regulatory pathway inference.
ISMB (Supplement of Bioinformatics)
Zhidong Tu, Li Wang, Michelle N. Arbeitman, Ting Chen, Fengzhu Sun
2006 J jnl
Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy.
BMC Bioinform.
Rui Jiang, Hua Yang, Fengzhu Sun, Ting Chen
2005 J jnl
An Approximation Algorithm for Haplotype Inference by Maximum Parsimony.
J. Comput. Biol.
Yao-Ting Huang, Kun-Mao Chao, Ting Chen
2005 Misc conf
An approximation algorithm for haplotype inference by maximum parsimony.
SAC
Yao-Ting Huang, Kun-Mao Chao, Ting Chen
2005 J jnl
HapBlock: haplotype block partitioning and tag SNP selection software using a set of dynamic programming algorithms.
Bioinform.
Kui Zhang, Zhaohui S. Qin, Ting Chen, Jun S. Liu, Michael S. Waterman, Fengzhu Sun
2005 J jnl
Selecting additional tag SNPs for tolerating missing data in genotyping.
BMC Bioinform.
Yao-Ting Huang, Kui Zhang, Ting Chen, Kun-Mao Chao
2004 J jnl
An Integrated Probabilistic Model for Functional Prediction of Proteins.
J. Comput. Biol.
Minghua Deng, Ting Chen, Fengzhu Sun
2004 C conf
Approximation Algorithms for the Selection of Robust Tag SNPs.
WABI
Yao-Ting Huang, Kui Zhang, Ting Chen, Kun-Mao Chao
2004 J jnl
Mapping gene ontology to proteins based on protein-protein interaction data.
Bioinform.
Minghua Deng, Zhidong Tu, Fengzhu Sun, Ting Chen
2003 B conf
An integrated probabilistic model for functional prediction of proteins.
RECOMB
Minghua Deng, Ting Chen, Fengzhu Sun
2003 Misc conf
Assessment of the reliability of protein-protein interactions and protein function prediction.
Pacific Symposium on Biocomputing
Minghua Deng, Fengzhu Sun, Ting Chen
2003 B conf
Dynamic programming algorithms for haplotype block partitioning: applications to human chromosome 21 haplotype data.
RECOMB
Kui Zhang, Fengzhu Sun, Michael S. Waterman, Ting Chen
2003 J jnl
Prediction of Protein Function Using Protein-Protein Interaction Data.
J. Comput. Biol.
Minghua Deng, Kui Zhang, Shipra Mehta, Ting Chen, Fengzhu Sun
2002 — conf
Dynamic Programming Algorithms for Haplotype Block Partitioning and Tag SNP Selection Using Haplotype Data or Genotype Data.
Computational Methods for SNPs and Haplotype Inference
Kui Zhang, Ting Chen, Michael S. Waterman, Zhaohui S. Qin, Jun S. Liu, Fengzhu Sun
2002 B conf
Inferring domain-domain interactions from protein-protein interactions.
RECOMB
Minghua Deng, Shipra Mehta, Fengzhu Sun, Ting Chen
2002 — conf
Prediction of Protein Function Using Protein-Protein Interaction Data.
CSB
Minghua Deng, Kui Zhang, Shipra Mehta, Ting Chen, Fengzhu Sun