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Qinmin Hu
Person information
- affiliation: East China Normal University, China
- affiliation (former): Ryerson University, Canada
- affiliation (former): York University, Toronto, Canada
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2020 – today
- 2024
- [c59]Chang Nian Chuy, Cherie Ding, Qinmin Vivian Hu:
Analyzing Biases in Popular Answer Selection Datasets on Neural-Based QA Models. TSD (1) 2024: 121-133 - [i3]Aritra Kumar Lahiri, Emrul Hasan, Qinmin Vivian Hu, Chen Ding:
TMU at TREC Clinical Trials Track 2023. CoRR abs/2403.12088 (2024) - 2023
- [c58]Xiaojiao Xiao, Qinmin Vivian Hu, Guanghui Wang:
Edge-Aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI. MICCAI (4) 2023: 652-661 - [c57]Chang Nian Chuy, Qinmin Vivian Hu, Chen Ding:
One Stop Shop for Question-Answering Dataset Selection. SIGIR 2023: 3115-3119 - [c56]Aritra Kumar Lahiri, Emrul Hasan, Qinmin Vivian Hu, Cherie Ding:
TMU at TREC Clinical Trials Track 2023. TREC 2023 - [i2]Xiaojiao Xiao, Qinmin Hu, Guanghui Wang:
Edge-aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI. CoRR abs/2307.01798 (2023) - 2022
- [c55]Aritra Kumar Lahiri, Qinmin Vivian Hu:
Named Entity-based Question-Answering Pair Generator. CIKM 2022: 4902-4906 - [c54]Aritra Kumar Lahiri, Qinmin Vivian Hu:
GameOfThronesQA: Answer-Aware Question-Answer Pairs for TV Series. ECIR (2) 2022: 180-189 - [c53]Aritra Kumar Lahiri, Qinmin Vivian Hu:
Entity Level QA Pairs Dataset for Sentiment Analysis. WI/IAT 2022: 270-276 - [d1]Aritra Kumar Lahiri, Qinmin Vivian Hu:
OTTQA V1.0. IEEE DataPort, 2022 - 2021
- [j17]Jie Zhou, Jiabao Zhao, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He:
MASAD: A large-scale dataset for multimodal aspect-based sentiment analysis. Neurocomputing 455: 47-58 (2021) - [j16]Jinyuan Zhang, Jimmy Xiangji Huang, Qinmin Vivian Hu:
Global optimization with one-class classification-assisted selection. Swarm Evol. Comput. 60: 100801 (2021) - [c52]Yucheng Li, Yan Yang, Qinmin Hu, Chengcai Chen, Liang He:
An Argument Extraction Decoder in Open Information Extraction. ECIR (1) 2021: 313-326 - [c51]Devang S. Ram Mohan, Qinmin Vivian Hu, Tian Huey Teh, Alexandra Torresquintero, Christopher G. R. Wallis, Marlene Staib, Lorenzo Foglianti, Jiameng Gao, Simon King:
Ctrl-P: Temporal Control of Prosodic Variation for Speech Synthesis. Interspeech 2021: 3875-3879 - [i1]Devang S. Ram Mohan, Qinmin Vivian Hu, Tian Huey Teh, Alexandra Torresquintero, Christopher G. R. Wallis, Marlene Staib, Lorenzo Foglianti, Jiameng Gao, Simon King:
Ctrl-P: Temporal Control of Prosodic Variation for Speech Synthesis. CoRR abs/2106.08352 (2021) - 2020
- [j15]Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He:
Is position important? deep multi-task learning for aspect-based sentiment analysis. Appl. Intell. 50(10): 3367-3378 (2020) - [j14]Jie Zhou, Qin Chen, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He:
Position-aware hierarchical transfer model for aspect-level sentiment classification. Inf. Sci. 513: 1-16 (2020) - [j13]Jinyuan Zhang, Jimmy Xiangji Huang, Qinmin Vivian Hu:
Boosting evolutionary optimization via fuzzy-classification-assisted selection. Inf. Sci. 519: 423-438 (2020) - [j12]Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He:
SK-GCN: Modeling Syntax and Knowledge via Graph Convolutional Network for aspect-level sentiment classification. Knowl. Based Syst. 205: 106292 (2020) - [c50]Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He:
Modeling Multi-aspect Relationship with Joint Learning for Aspect-Level Sentiment Classification. DASFAA (1) 2020: 786-802
2010 – 2019
- 2019
- [j11]Qingchun Bai, Qinmin Vivian Hu, Linhui Ge, Liang He:
Stories That Big Danmaku Data Can Tell as a New Media. IEEE Access 7: 53509-53519 (2019) - [j10]Jie Zhou, Jimmy Xiangji Huang, Qin Chen, Qinmin Vivian Hu, Tingting Wang, Liang He:
Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges. IEEE Access 7: 78454-78483 (2019) - [j9]Yang Song, Qinmin Vivian Hu, Liang He:
Let terms choose their own kernels: An intelligent approach to kernel selection for healthcare search. Inf. Sci. 485: 55-70 (2019) - [j8]Yang Song, Qinmin Vivian Hu, Liang He:
P-CNN: Enhancing text matching with positional convolutional neural network. Knowl. Based Syst. 169: 67-79 (2019) - [j7]Hongyu Liu, Qinmin Vivian Hu, Liang He:
Term-Based Personalization for Feature Selection in Clinical Handover Form Auto-Filling. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1219-1230 (2019) - [c49]Jinyuan Zhang, Jimmy Xiangji Huang, Qinmin Vivian Hu:
A classification-based selection for evolutionary optimization. GECCO (Companion) 2019: 328-329 - [c48]Yun Li, Yan Yang, Yong Deng, Qinmin Vivian Hu, Chengcai Chen, Liang He, Zhou Yu:
Dependent Multilevel Interaction Network for Natural Language Inference. ICANN (4) 2019: 9-21 - [c47]Su Chen, Qinmin Vivian Hu, Yang Song, Yun He, Huaying Wu, Liang He:
Self-Attention based Network For Medical Query Expansion. IJCNN 2019: 1-9 - [c46]Tingting Wang, Jie Zhou, Qinmin Vivian Hu, Liang He:
Aspect-level Sentiment Classification with Reinforcement Learning. IJCNN 2019: 1-8 - 2018
- [j6]Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He:
Modeling Queries with Contextual Snippets for Information Retrieval. ACM Trans. Intell. Syst. Technol. 9(4): 47:1-47:26 (2018) - [j5]Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He:
TAKer: Fine-Grained Time-Aware Microblog Search with Kernel Density Estimation. IEEE Trans. Knowl. Data Eng. 30(8): 1602-1615 (2018) - [c45]Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He:
CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity. AAAI 2018: 265-273 - [c44]Qinmin Hu, Jie Zhou, Qin Chen, Liang He:
SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification. AAAI 2018: 3255-3262 - [c43]Qingchun Bai, Qi Zhang, Qinmin Hu, Liang He:
ECNU at CLEF PIR 2018 : Evaluation of Personalized Information Retrieval. CLEF (Working Notes) 2018 - [c42]Huaying Wu, Tingting Wang, Jiayi Chen, Su Chen, Qinmin Hu, Liang He:
ECNU at 2018 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine. CLEF (Working Notes) 2018 - [c41]Jie Zhou, Qi Zhang, Qinmin Hu, Liang He:
ECNU at MC2 2018 Task 2: Mining Opinion Argumentation. CLEF (Working Notes) 2018 - [c40]Yuling Sun, Jianyuan Li, Yuxiang Zhen, Yan Tang, Qinmin Hu, Liang He:
USee: An Online-Offline Hybird Danmaku Social System. CSCWD 2018: 253-258 - [c39]Yang Song, Yuling Sun, Qinmin Hu, Liang He:
An Interaction Embedded Framework for Healthcare Search. CSCWD 2018: 347-352 - [c38]Qingchun Bai, Qinmin Hu, Faming Fang, Liang He:
Topic Detection with Danmaku: A Time-Sync Joint NMF Approach. DEXA (2) 2018: 428-435 - [c37]Yang Song, Wenxin Hu, Qin Chen, Qinmin Hu, Liang He:
Enhancing the Recurrent Neural Networks with Positional Gates for Sentence Representation. ICONIP (1) 2018: 511-521 - [c36]Qingchun Bai, Kai Wei, Mengwei Chen, Qinmin Hu, Liang He:
Mining Temporal Discriminant Frames via Joint Matrix Factorization: A Case Study of Illegal Immigration in the U.S. News Media. KSEM (1) 2018: 260-267 - [c35]Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He:
CAN: Enhancing Sentence Similarity Modeling with Collaborative and Adversarial Network. SIGIR 2018: 815-824 - 2017
- [c34]Yueyao Wang, Qinmin Hu, Yang Song, Liang He:
Potentiality of healthcare big data: Improving search by automatic query reformulation. IEEE BigData 2017: 807-816 - [c33]Jiayi Chen, Su Chen, Yang Song, Hongyu Liu, Yueyao Wang, Qinmin Hu, Liang He:
ECNU at 2017 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine. CLEF (Working Notes) 2017 - [c32]Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He, Weijie An:
Enhancing Recurrent Neural Networks with Positional Attention for Question Answering. SIGIR 2017: 993-996 - 2016
- [c31]Yang Song, Yun He, Hongyu Liu, Qinmin Hu, Liang He, Yueyao Wang:
ECNU at 2016 eHealth Task 1: Handover Information Extraction. CLEF (Working Notes) 2016: 147-156 - [c30]Yang Song, Yun He, Hongyu Liu, Yueyao Wang, Qinmin Hu, Liang He:
ECNU at 2016 eHealth Task 3: Patient-centred Information Retrieval. CLEF (Working Notes) 2016: 157-161 - [c29]Yun He, Qinmin Hu, Yang Song, Liang He:
Estimating Probability Density of Content Types for Promoting Medical Records Search. ECIR 2016: 252-263 - [c28]Qinmin Hu, Yijun Pei, Qin Chen, Liang He:
SG++: Word Representation with Sentiment and Negation for Twitter Sentiment Classification. SIGIR 2016: 997-1000 - [c27]Weijie An, Mengfei Shi, Xin Ouyang, Yan Yang, Qinmin Hu, Liang He:
ECNU at 2016 LiveQA Track: A Parameter Sharing Long Short Term Memory Model for Learning Question Similarity. TREC 2016 - [c26]Hongyu Liu, Yang Song, Yun He, Yueyao Wang, Qinmin Hu, Liang He:
ECNU at TREC 2016: Web-based query expansion and experts diagnosis in Medical Information Retrieval. TREC 2016 - 2015
- [c25]Yang Song, Yun He, Qinmin Hu, Liang He, E. Mark Haacke:
ECNU at 2015 eHealth Task 2: User-centred Health Information Retrieval. CLEF (Working Notes) 2015 - [c24]Hebin Yang, Qinmin Hu, Liang He:
Learning Topic-Oriented Word Embedding for Query Classification. PAKDD (1) 2015: 188-198 - [c23]Zhijin Wang, Yan Yang, Qinmin Hu, Liang He:
An Empirical Study of Personal Factors and Social Effects on Rating Prediction. PAKDD (1) 2015: 747-758 - [c22]Qin Chen, Bo Wang, Beijing Huang, Qinmin Hu, Liang He:
ECNU at TREC 2015: Microblog Track. TREC 2015 - [c21]Qinmin Hu, Liang He, Yang Song, Yun He:
ECNU at 2015 CDS Track: Two Re-ranking Methods in Medical Information Retrieval. TREC 2015 - [c20]Weiqian Zhang, Weijie An, Jinchao Ma, Yan Yang, Qinmin Hu, Liang He:
ECNU at TREC 2015: LiveQA Track. TREC 2015 - [c19]Yan Yang, Qinmin Hu, Liang He, Minjie Ni, Zhijin Wang:
Adaptive Temporal Model for IPTV Recommendation. WAIM 2015: 260-271 - 2014
- [c18]Qinmin Vivian Hu, Liang He, Mingyao Li, Jimmy Xiangji Huang, E. Mark Haacke:
A semi-informative aware approach using topic model for medical search. BIBM 2014: 320-324 - [c17]Zhaohui Liang, Gang Zhang, Jimmy Xiangji Huang, Qinmin Vivian Hu:
Deep learning for healthcare decision making with EMRs. BIBM 2014: 556-559 - [c16]Hao Chen, Qinmin Hu, Liang He:
Clairvoyant: An Early Prediction System For Video Hits. CIKM 2014: 2054-2056 - [c15]Qinmin Hu, Xiangji Huang:
Bringing Information Retrieval into Crowdsourcing: A Case Study. ECIR 2014: 631-637 - [c14]Qin Chen, Yan Yang, Qinmin Hu, Liang He:
Locating Query-oriented Experts in Microblog Search. SMIR@SIGIR 2014: 16-23 - 2013
- [j4]Qinmin Hu, Jimmy Xiangji Huang:
Enhancing genomics Information Retrieval through Dimensional Analysis. J. Bioinform. Comput. Biol. 11(3) (2013) - 2012
- [j3]Qinmin Hu, Jimmy X. Huang, Xiaohua Hu:
Modeling and mining term association for improving biomedical information retrieval performance. BMC Bioinform. 13(S-9): S2 (2012) - [c13]Qinmin Hu, Zhi Xu, Xanghi Huang, Zheng Ye:
York University at TREC 2012: CrowdSourcing Track. TREC 2012 - 2011
- [j2]Qinmin Hu, Jimmy X. Huang, Jun Miao:
A robust approach to optimizing multi-source information for enhancing genomics retrieval performance. BMC Bioinform. 12(S-5): S6 (2011) - [c12]Qinmin Hu, Jimmy Xiangji Huang, Xiaohua Hu:
A Term Association Approach for Genomics Information Retrieval. BIBM 2011: 532-537 - 2010
- [j1]Qinmin Hu, Jimmy Xiangji Huang:
Passage extraction and result combination for genomics information retrieval. J. Intell. Inf. Syst. 34(3): 249-274 (2010) - [c11]Qinmin Vivian Hu, Zheng Ye, Jimmy Xiangji Huang:
Enhancing Content-Based Image Retrieval Using Machine Learning Techniques. AMT 2010: 383-394 - [c10]Qinmin Vivian Hu, Jimmy Xiangji Huang:
Genomics information retrieval using a Bayesian model for learning and re-ranking. BCB 2010: 426-429 - [c9]Qinmin Vivian Hu, Jimmy Xiangji Huang, Jun Miao:
Exploring a multi-source fusion approach for genomics information retrieval. BIBM 2010: 669-672 - [c8]Qinmin Vivian Hu, Jimmy Xiangji Huang, William Melek, C. Joseph Kurian:
A Time Series Based Method for Analyzing and Predicting Personalized Medical Data. Brain Informatics 2010: 288-298 - [c7]Xiangji Huang, Aijun An, Qinmin Hu:
Medical search and classification tools for recommendation. SIGIR 2010: 707 - [c6]Jun Miao, Xiangji Huang, Qinmin Hu:
York_University at TRECVID 2010. TRECVID 2010
2000 – 2009
- 2009
- [c5]Zheng Ye, Xiangji Huang, Qinmin Hu, Hongfei Lin:
An Integrated Approach for Medical Image Retrieval through Combining Textual and Visual Features. CLEF (2) 2009: 195-202 - [c4]Xiaoshi Yin, Xiangji Huang, Qinmin Hu, Zhoujun Li:
Boosting Biomedical Information Retrieval Performance through Citation Graph: An Empirical Study. PAKDD 2009: 949-956 - [c3]Xiangji Huang, Qinmin Hu:
A bayesian learning approach to promoting diversity in ranking for biomedical information retrieval. SIGIR 2009: 307-314 - 2008
- [c2]Qinmin Hu, Xiangji Huang:
A Dynamic Window Based Passage Extraction Algorithm for Genomics Information Retrieval. ISMIS 2008: 434-444 - [c1]Qinmin Hu, Xiangji Huang:
A reranking model for genomics aspect search. SIGIR 2008: 783-784
Coauthor Index
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last updated on 2024-11-28 20:34 CET by the dblp team
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