Yixuan Qiao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Graph Representation

Top Venues

Briefings Bioinform.

Publications

Xiaowei Zhao, Yuqing Ma, Duorui Wang, Yifan Shen, Yixuan Qiao, Xianglong Liu
Revisiting Open World Object Detection. IEEE Trans. Circuits Syst. Video Technol. 34 (5) (2024)
Lianhe Zhao, Xiaoning Qi, Yang Chen, Yixuan Qiao, Dechao Bu, Yang Wu, Yufan Luo, Sheng Wang, Rui Zhang, Yi Zhao
Biological knowledge graph-guided investigation of immune therapy response in cancer with graph neural network. Briefings Bioinform. 24 (2) (2023)
Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guotong Xie
HCL: Improving Graph Representation with Hierarchical Contrastive Learning. CoRR (2022)
Yixuan Qiao, Hao Chen, Yongquan Lai, Jun Wang, Tuozhen Liu, Xianbin Ye, Rui Fang, Peng Gao, Wenfeng Xie, Guotong Xie
PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking. CoRR (2022)
Changyu Hou, Jun Wang, Yixuan Qiao, Peng Jiang, Peng Gao, Guotong Xie, Qizhi Lin, Xiaopeng Wang, Xiandi Jiang, Benqi Wang, Qifeng Xiao
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models. CoRR (2022)
Yixuan Qiao, Lianhe Zhao, Chunlong Luo, Yufan Luo, Yang Wu, Shengtong Li, Dechao Bu, Yi Zhao
Multi-modality artificial intelligence in digital pathology. Briefings Bioinform. 23 (6) (2022)
Xiaowei Zhao, Xianglong Liu, Yifan Shen, Yixuan Qiao, Yuqing Ma, Duorui Wang
Revisiting Open World Object Detection. CoRR (2022)
Qizhi Lin, Changyu Hou, Xiaopeng Wang, Jun Wang, Yixuan Qiao, Peng Jiang, Xiandi Jiang, Benqi Wang, Qifeng Xiao
PA Ph&Tech at SemEval-2022 Task 11: NER Task with Ensemble Embedding from Reinforcement Learning. SemEval@NAACL (2022)
Changyu Hou, Jun Wang, Yixuan Qiao, Peng Jiang, Peng Gao, Guotong Xie, Qizhi Lin, Xiaopeng Wang, Xiandi Jiang, Benqi Wang, Qifeng Xiao
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models. SemEval@NAACL (2022)
Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guotong Xie
HCL: Improving Graph Representation with Hierarchical Contrastive Learning. ISWC (2022)
Yixuan Qiao, Minghui Zheng, Jingyi Yang
Implementation of one-time editable blockchain chameleon hash function construction scheme. TrustCom (2022)
Xianbin Ye, Ziliang Li, Fei Ma, Zongbi Yi, Pengyong Li, Jun Wang, Peng Gao, Yixuan Qiao, Guotong Xie
CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer. CoRR (2022)
Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song
An effective self-supervised framework for learning expressive molecular global representations to drug discovery. Briefings Bioinform. 22 (6) (2021)
Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Seng Song, Guotong Xie
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. CoRR (2021)
Jun Wang, Zhoujing Li, Yixuan Qiao, Qiming Qin, Peng Gao, Guotong Xie
Superpixel-Based Building Damage Detection from Post-earthquake Very High Resolution Imagery Using Deep Neural Networks. CoRR (2021)
Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. IJCAI (2021)
Yixuan Qiao, Hao Chen, Jun Wang, Yihao Chen, Xianbin Ye, Ziliang Li, Xianbiao Qi, Peng Gao, Guotong Xie
Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model. CoRR (2021)
Yixuan Qiao, Hao Chen, Jun Wang, Peng Gao, Guotong Xie, Tuozhen Liu, Xianbin Ye, Guotong Xie
PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stageRankingtrack: DL. TREC (2021)
Yixuan Qiao, Hao Chen, Liyu Cao, Liping Chen, Pengyong Li, Jun Wang, Peng Gao, Yuan Ni, Guotong Xie
PASH at TREC 2020 Deep Learning Track: Dense Matching for Nested Ranking. TREC (2020)
Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song
Learn molecular representations from large-scale unlabeled molecules for drug discovery. CoRR (2020)
Liyu Cao, Yixuan Qiao, Hao Chen, Peng Gao, Yuan Ni, Guo Tong Xie
A Multiple Models Ensembling Method in TREC Deep Learning. TREC (2020)
Yixuan Qiao, Shoumei Li, Thierry Denoeux
Collaborative Evidential Clustering. IFSA/NAFIPS (2019)
Jie Wang, Yan Peng, Xiaoxiao Ren, Yixuan Qiao
An Expert System for Diagnosis and Treatment of Hypertension Based on Ontology. BIC-TA (2) (2018)