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Yixuan Qiao
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2020 – today
- 2024
- [j4]Xiaowei Zhao
, Yuqing Ma
Revisiting Open World Object Detection. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3496-3509 (2024) - 2023
- [j3]Lianhe Zhao
Biological knowledge graph-guided investigation of immune therapy response in cancer with graph neural network. Briefings Bioinform. 24(2) (2023) - 2022
- [j2]Yixuan Qiao, Lianhe Zhao
Multi-modality artificial intelligence in digital pathology. Briefings Bioinform. 23(6) (2022) - [c10]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: 1444-1447 - [c9]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: 1593-1596 - [c8]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: 108-124 - [c7]Yixuan Qiao, Minghui Zheng, Jingyi Yang:
Implementation of one-time editable blockchain chameleon hash function construction scheme. TrustCom 2022: 851-856 - [i9]Xiaowei Zhao, Xianglong Liu, Yifan Shen, Yixuan Qiao, Yuqing Ma, Duorui Wang:
Revisiting Open World Object Detection. CoRR abs/2201.00471 (2022) - [i8]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 abs/2203.00836 (2022) - [i7]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 abs/2205.11245 (2022) - [i6]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 abs/2205.14660 (2022) - [i5]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 abs/2210.12020 (2022) - 2021
- [j1]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) - [c6]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: 2694-2700 - [c5]Yixuan Qiao, Hao Chen, Tuozhen Liu, Xianbin Ye, Jun Wang, Peng Gao, Guotong Xie:
PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stageRankingtrack: DL. TREC 2021 - [i4]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 abs/2106.15332 (2021) - [i3]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 abs/2110.13567 (2021) - [i2]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 abs/2112.04744 (2021) - 2020
- [c4]Liyu Cao, Yixuan Qiao, Hao Chen, Peng Gao, Yuan Ni, Guo Tong Xie:
A Multiple Models Ensembling Method in TREC Deep Learning. TREC 2020 - [c3]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 - [i1]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 abs/2012.11175 (2020)
2010 – 2019
- 2019
- [c2]Yixuan Qiao, Shoumei Li, Thierry Denoeux
Collaborative Evidential Clustering. IFSA/NAFIPS 2019: 518-530 - 2018
- [c1]Jie Wang, Yan Peng, Xiaoxiao Ren, Yixuan Qiao:
An Expert System for Diagnosis and Treatment of Hypertension Based on Ontology. BIC-TA (2) 2018: 264-274
Coauthor Index
aka: Guotong Xie
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