• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 31 matches

• 2023
• 
  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)
• 
  Haoxin Tu, He Jiang, Zhide Zhou, Yixuan Tang, Zhilei Ren, Lei Qiao, Lingxiao Jiang:
  Detecting C++ Compiler Front-End Bugs via Grammar Mutation and Differential Testing. IEEE Trans. Reliab. 72(1): 343-357 (2023)
• 
  Weiqin Li, Shun Lei, Qiaochu Huang, Yixuan Zhou, Zhiyong Wu, Shiyin Kang, Helen Meng:
  Towards Spontaneous Style Modeling with Semi-supervised Pre-training for Conversational Text-to-Speech Synthesis. CoRR abs/2308.16593 (2023)
• 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)
• 
  Yixuan Tang, Zhilei Ren, He Jiang, Lei Qiao, Dong Liu, Zhide Zhou, Weiqiang Kong:
  Detecting Compiler Bugs Via a Deep Learning-Based Framework. Int. J. Softw. Eng. Knowl. Eng. 32(5): 661-691 (2022)
• 
  Suman Chakraborty, Yixuan Sun, Guang Lin, Li Qiao:
  Vapor-liquid equilibrium estimation of n-alkane/nitrogen mixtures using neural networks. J. Comput. Appl. Math. 408: 114059 (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: 1593-1596
• 
  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
• 
  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
• 
  Yixuan Qiao, Minghui Zheng, Jingyi Yang:
  Implementation of one-time editable blockchain chameleon hash function construction scheme. TrustCom 2022: 851-856
• 
  Xiaowei Zhao, Xianglong Liu, Yifan Shen, Yixuan Qiao, Yuqing Ma, Duorui Wang:
  Revisiting Open World Object Detection. CoRR abs/2201.00471 (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 abs/2203.00836 (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 abs/2205.11245 (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 abs/2205.14660 (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. CoRR abs/2210.12020 (2022)
• 
  Zhaoning Li, Qiaoli Jiang, Zhengming Wu, Anqi Liu, Haiyan Wu, Miner Huang, Kai Huang, Yixuan Ku:
  Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling. CoRR abs/2212.02908 (2022)
• 2021
• 
  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)
• 
  Maimaiti Nazhamaiti, Han Xu, Zheyu Liu, Yixuan Chen, Qi Wei, Xing Wu, Fei Qiao:
  NS-MD: Near-Sensor Motion Detection With Energy Harvesting Image Sensor for Always-On Visual Perception. IEEE Trans. Circuits Syst. II Express Briefs 68(9): 3078-3082 (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: 2694-2700
• 
  Yixuan Yang, Shiyao Zhang, Chenhan Zhang, James J. Q. Yu:
  Origin-Destination Matrix Prediction via Hexagon-based Generated Graph. ITSC 2021: 1399-1404
• 
  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
• 
  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)
• 
  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)
• 
  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
• 
  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, 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 abs/2012.11175 (2020)
• 2019
• 
  Yixuan Qiao, Shoumei Li, Thierry Denoeux:
  Collaborative Evidential Clustering. IFSA/NAFIPS 2019: 518-530
• 2018
• 
  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
• 2015
• 
  Jie Yang, Yixuan Wang, Yuanyuan Qiao, Xiao-Xing Zhao, Fang Liu, Gang Cheng:
  On Evaluating Multi-class Network Traffic Classifiers Based on AUC. Wirel. Pers. Commun. 83(3): 1731-1750 (2015)

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