An Expert System for Diagnosis and Treatment of Hypertension Based on Ontology. - Jie Wang 019; Yan Peng; Xiaoxiao Ren; Yixuan Qiao (BIC-TA (2), 2018)

Collaborative Evidential Clustering. - Yixuan Qiao; Shoumei Li; Thierry Denoeux (IFSA/NAFIPS, 2019)

A Multiple Models Ensembling Method in TREC Deep Learning. - Liyu Cao; Yixuan Qiao; Hao Chen; Peng Gao 015; Yuan Ni; Guo Tong Xie (TREC, 2020)

PASH at TREC 2020 Deep Learning Track: Dense Matching for Nested Ranking. - Yixuan Qiao; Hao Chen; Liyu Cao; Liping Chen; Pengyong Li; Jun Wang 123; Peng Gao 015; Yuan Ni; Guotong Xie (TREC, 2020)

Learn molecular representations from large-scale unlabeled molecules for drug discovery. - Pengyong Li; Jun Wang 123; Yixuan Qiao; Hao Chen; Yihuan Yu; Xiaojun Yao; Peng Gao 015; Guotong Xie; Sen Song (CoRR, 2020)

Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. - Pengyong Li; Jun Wang 123; Ziliang Li; Yixuan Qiao; Xianggen Liu; Fei Ma; Peng Gao 015; Sen Song; Guotong Xie (IJCAI, 2021)

PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stageRankingtrack: DL. - Yixuan Qiao; Hao Chen; Tuozhen Liu; Xianbin Ye; Jun Wang 123; Peng Gao 015; Guotong Xie (TREC, 2021)

An effective self-supervised framework for learning expressive molecular global representations to drug discovery. - Pengyong Li; Jun Wang 123; Yixuan Qiao; Hao Chen; Yihuan Yu; Xiaojun Yao; Peng Gao 015; Guotong Xie; Sen Song (Briefings Bioinform., 2021)

Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model. - Yixuan Qiao; Hao Chen; Jun Wang 123; Yihao Chen; Xianbin Ye; Ziliang Li; Xianbiao Qi; Peng Gao 015; Guotong Xie (CoRR, 2021)

Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. - Pengyong Li; Jun Wang 123; Ziliang Li; Yixuan Qiao; Xianggen Liu; Fei Ma; Peng Gao 015; Seng Song; Guotong Xie (CoRR, 2021)

Superpixel-Based Building Damage Detection from Post-earthquake Very High Resolution Imagery Using Deep Neural Networks. - Jun Wang 042; Zhoujing Li; Yixuan Qiao; Qiming Qin; Peng Gao 015; Guotong Xie (CoRR, 2021)

SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models. - Changyu Hou; Jun Wang 123; Yixuan Qiao; Peng Jiang; Peng Gao 015; Guotong Xie; Qizhi Lin; Xiaopeng Wang; Xiandi Jiang; Benqi Wang; Qifeng Xiao (SemEval@NAACL, 2022)

PA Ph&Tech at SemEval-2022 Task 11: NER Task with Ensemble Embedding from Reinforcement Learning. - Qizhi Lin; Changyu Hou; Xiaopeng Wang; Jun Wang; Yixuan Qiao; Peng Jiang; Xiandi Jiang; Benqi Wang; Qifeng Xiao (SemEval@NAACL, 2022)

HCL: Improving Graph Representation with Hierarchical Contrastive Learning. - Jun Wang 123; Weixun Li; Changyu Hou; Xin Tang; Yixuan Qiao; Rui Fang; Pengyong Li; Peng Gao 015; Guotong Xie (ISWC, 2022)

Implementation of one-time editable blockchain chameleon hash function construction scheme. - Yixuan Qiao; Minghui Zheng; Jingyi Yang (TrustCom, 2022)

Multi-modality artificial intelligence in digital pathology. - Yixuan Qiao; Lianhe Zhao; Chunlong Luo; Yufan Luo; Yang Wu; Shengtong Li; Dechao Bu; Yi Zhao 013 (Briefings Bioinform., 2022)

CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer. - Xianbin Ye; Ziliang Li; Fei Ma; Zongbi Yi; Pengyong Li; Jun Wang 123; Peng Gao 015; Yixuan Qiao; Guotong Xie (CoRR, 2022)

PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking. - Yixuan Qiao; Hao Chen; Yongquan Lai; Jun Wang 123; Tuozhen Liu; Xianbin Ye; Rui Fang; Peng Gao 015; Wenfeng Xie; Guotong Xie (CoRR, 2022)

Biological knowledge graph-guided investigation of immune therapy response in cancer with graph neural network. - Lianhe Zhao; Xiaoning Qi; Yang Chen; Yixuan Qiao; Dechao Bu; Yang Wu; Yufan Luo; Sheng Wang; Rui Zhang; Yi Zhao 013 (Briefings Bioinform., 2023)

A multi-modal fusion model with enhanced feature representation for chronic kidney disease progression prediction. - Yixuan Qiao; Hong Zhou; Yang Liu; Ruixuan Chen; Xiaodong Zhang; Sheng Nie; Fan Fan Hou; Yi Zhao; Xin Xu; Lianhe Zhao (Briefings Bioinform., 2024)

Revisiting Open World Object Detection. - Xiaowei Zhao; Yuqing Ma; Duorui Wang; Yifan Shen; Yixuan Qiao; Xianglong Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Optimal Brain Iterative Merging: Mitigating Interference in LLM Merging. - Zhixiang Wang; Zhenyu Mao; Yixuan Qiao; Yunfang Wu; Biye Li (CoRR, 2025)