Yixuan Qiao - RankMe

25 papers A* 1B 1Misc 1Journal 15Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A multi-modal fusion model with enhanced feature representation for chronic kidney disease progression prediction. Briefings Bioinform. Yixuan Qiao, Hong Zhou, Yang Liu, Ruixuan Chen, Xiaodong Zhang, Sheng Nie, Fan Fan Hou, Yi Zhao, Xin Xu, Lianhe Zhao
2025	J	`jnl`	Optimal Brain Iterative Merging: Mitigating Interference in LLM Merging. CoRR Zhixiang Wang, Zhenyu Mao, Yixuan Qiao, Yunfang Wu, Biye Li
2024	J	`jnl`	Revisiting Open World Object Detection. IEEE Trans. Circuits Syst. Video Technol. Xiaowei Zhao, Yuqing Ma, Duorui Wang, Yifan Shen, Yixuan Qiao, Xianglong Liu
2023	J	`jnl`	Biological knowledge graph-guided investigation of immune therapy response in cancer with graph neural network. Briefings Bioinform. Lianhe Zhao, Xiaoning Qi, Yang Chen, Yixuan Qiao, Dechao Bu, Yang Wu, Yufan Luo, Sheng Wang, Rui Zhang, Yi Zhao
2022	J	`jnl`	CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer. CoRR Xianbin Ye, Ziliang Li, Fei Ma, Zongbi Yi, Pengyong Li, Jun Wang, Peng Gao, Yixuan Qiao, Guotong Xie
2022	Misc	`conf`	HCL: Improving Graph Representation with Hierarchical Contrastive Learning. ISWC Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guotong Xie
2022	J	`jnl`	HCL: Improving Graph Representation with Hierarchical Contrastive Learning. CoRR Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guotong Xie
2022	B	`conf`	Implementation of one-time editable blockchain chameleon hash function construction scheme. TrustCom Yixuan Qiao, Minghui Zheng, Jingyi Yang
2022	J	`jnl`	Multi-modality artificial intelligence in digital pathology. Briefings Bioinform. Yixuan Qiao, Lianhe Zhao, Chunlong Luo, Yufan Luo, Yang Wu, Shengtong Li, Dechao Bu, Yi Zhao
2022	—	`conf`	PA Ph&Tech at SemEval-2022 Task 11: NER Task with Ensemble Embedding from Reinforcement Learning. SemEval@NAACL Qizhi Lin, Changyu Hou, Xiaopeng Wang, Jun Wang, Yixuan Qiao, Peng Jiang, Xiandi Jiang, Benqi Wang, Qifeng Xiao
2022	J	`jnl`	PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking. CoRR Yixuan Qiao, Hao Chen, Yongquan Lai, Jun Wang, Tuozhen Liu, Xianbin Ye, Rui Fang, Peng Gao, Wenfeng Xie, Guotong Xie
2022	J	`jnl`	Revisiting Open World Object Detection. CoRR Xiaowei Zhao, Xianglong Liu, Yifan Shen, Yixuan Qiao, Yuqing Ma, Duorui Wang
2022	—	`conf`	SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models. SemEval@NAACL Changyu Hou, Jun Wang, Yixuan Qiao, Peng Jiang, Peng Gao, Guotong Xie, Qizhi Lin, Xiaopeng Wang, Xiandi Jiang, Benqi Wang, Qifeng Xiao
2022	J	`jnl`	SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models. CoRR Changyu Hou, Jun Wang, Yixuan Qiao, Peng Jiang, Peng Gao, Guotong Xie, Qizhi Lin, Xiaopeng Wang, Xiandi Jiang, Benqi Wang, Qifeng Xiao
2021	J	`jnl`	An effective self-supervised framework for learning expressive molecular global representations to drug discovery. Briefings Bioinform. Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song
2021	—	`conf`	PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stageRankingtrack: DL. TREC Yixuan Qiao, Hao Chen, Tuozhen Liu, Xianbin Ye, Jun Wang, Peng Gao, Guotong Xie
2021	A*	`conf`	Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. IJCAI Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie
2021	J	`jnl`	Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. CoRR Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Seng Song, Guotong Xie
2021	J	`jnl`	Superpixel-Based Building Damage Detection from Post-earthquake Very High Resolution Imagery Using Deep Neural Networks. CoRR Jun Wang, Zhoujing Li, Yixuan Qiao, Qiming Qin, Peng Gao, Guotong Xie
2021	J	`jnl`	Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model. CoRR Yixuan Qiao, Hao Chen, Jun Wang, Yihao Chen, Xianbin Ye, Ziliang Li, Xianbiao Qi, Peng Gao, Guotong Xie
2020	—	`conf`	A Multiple Models Ensembling Method in TREC Deep Learning. TREC Liyu Cao, Yixuan Qiao, Hao Chen, Peng Gao, Yuan Ni, Guo Tong Xie
2020	J	`jnl`	Learn molecular representations from large-scale unlabeled molecules for drug discovery. CoRR Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song
2020	—	`conf`	PASH at TREC 2020 Deep Learning Track: Dense Matching for Nested Ranking. TREC Yixuan Qiao, Hao Chen, Liyu Cao, Liping Chen, Pengyong Li, Jun Wang, Peng Gao, Yuan Ni, Guotong Xie
2019	—	`conf`	Collaborative Evidential Clustering. IFSA/NAFIPS Yixuan Qiao, Shoumei Li, Thierry Denoeux
2018	—	`conf`	An Expert System for Diagnosis and Treatment of Hypertension Based on Ontology. BIC-TA (2) Jie Wang, Yan Peng, Xiaoxiao Ren, Yixuan Qiao