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ORCIDXiangji Huang
Jimmy Xiangji Huang – Jimmy Huang
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- affiliation: York University, Toronto, Canada
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2020 – today
- 2021
[j67]Guangyou Zhou, Zhiwen Xie, Zongfu Yu, Jimmy Xiangji Huang:
DFM: A parameter-shared deep fused model for knowledge base question answering. Inf. Sci. 547: 103-118 (2021)- [j66]Jinyuan Zhang, Jimmy Xiangji Huang, Qinmin Vivian Hu:
Global optimization with one-class classification-assisted selection. Swarm Evol. Comput. 60: 100801 (2021) - [j65]Omer Tal, Yang Liu, Jimmy Huang, Xiaohui Yu, Bushra Aljbawi:
Neural Attention Frameworks for Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 33(5): 2137-2150 (2021) - [i4]Md. Tahmid Rahman Laskar, Jimmy Huang, Vladan Smetana, Chris Stewart, Kees Pouw, Aijun An, Stephen Chan, Lei Liu:
Extending Isolation Forest for Anomaly Detection in Big Data via K-Means. CoRR abs/2104.13190 (2021) - 2020
- [j64]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) - [j63]Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Zhiwei Ying, Yuqi Wang:
A topic-based term frequency normalization framework to enhance probabilistic information retrieval. Comput. Intell. 36(2): 486-521 (2020) - [j62]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) - [j61]Jinyuan Zhang, Jimmy Xiangji Huang, Qinmin Vivian Hu:
Boosting evolutionary optimization via fuzzy-classification-assisted selection. Inf. Sci. 519: 423-438 (2020) - [j60]Min Pan, Jimmy Xiangji Huang, Tingting He, Zhiming Mao, Zhiwei Ying, Xinhui Tu:
A simple kernel co-occurrence-based enhancement for pseudo-relevance feedback. J. Assoc. Inf. Sci. Technol. 71(3): 264-281 (2020) - [j59]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) - [j58]Xu Chen, Kun Xiong, Yongfeng Zhang, Long Xia, Dawei Yin, Jimmy Xiangji Huang:
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network. ACM Trans. Inf. Syst. 39(1): 8:1-8:22 (2020) - [c145]Zhiwen Xie, Guangyou Zhou, Jin Liu, Jimmy Xiangji Huang:
ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding. ACL 2020: 5929-5939 - [c144]Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy Huang:
Query Focused Abstractive Summarization via Incorporating Query Relevance and Transfer Learning with Transformer Models. Canadian Conference on AI 2020: 342-348 - [c143]Zhaohui Liang, Jimmy Xiangji Huang, Jun Li, Stephen Chan:
Enhancing Automated COVID-19 Chest X-ray Diagnosis by Image-to-Image GAN Translation. BIBM 2020: 1068-1071 - [c142]Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang:
WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization. COLING 2020: 5647-5654 - [c141]Zhiwen Xie, Runjie Zhu, Kunsong Zhao, Jin Liu, Guangyou Zhou, Jimmy Xiangji Huang:
A Contextual Alignment Enhanced Cross Graph Attention Network for Cross-lingual Entity Alignment. COLING 2020: 5918-5928 - [c140]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 - [c139]Md. Tahmid Rahman Laskar, Jimmy Xiangji Huang, Enamul Hoque:
Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task. LREC 2020: 5505-5514 - [c138]Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, ShaoZhang Niu, Jimmy Huang:
KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. SIGIR 2020: 209-218 - [c137]Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin:
Neural Interactive Collaborative Filtering. SIGIR 2020: 749-758 - [e5]Jimmy Huang, Yi Chang, Xueqi Cheng, Jaap Kamps, Vanessa Murdock, Ji-Rong Wen, Yiqun Liu:
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020. ACM 2020, ISBN 978-1-4503-8016-4 [contents] - [i3]Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin:
Neural Interactive Collaborative Filtering. CoRR abs/2007.02095 (2020) - [i2]Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang:
WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization. CoRR abs/2011.01421 (2020) - [i1]Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang:
Utilizing Bidirectional Encoder Representations from Transformers for Answer Selection. CoRR abs/2011.07208 (2020)
2010 – 2019
- 2019
- [j57]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) - [j56]Zhiwei Ying, Jimmy Xiangji Huang, Jie Zhou, Fanghong Jian, Tingting He:
DSPF: A Digital Signal Processing Based Framework for Information Retrieval. IEEE Access 7: 110235-110248 (2019) - [j55]Zhiwei Ying, Jimmy Xiangji Huang, Jie Zhou:
A New Digital Signal Processing Based Model With Multi-Aspect Term Frequency for Information Retrieval. IEEE Access 7: 160738-160754 (2019) - [j54]Zhaohui Liang, Jun Liu, Aihua Ou, Honglai Zhang, Ziping Li, Jimmy Xiangji Huang:
Deep generative learning for automated EHR diagnosis of traditional Chinese medicine. Comput. Methods Programs Biomed. 174: 17-23 (2019) - [j53]Turdi Tohti, Jimmy Huang, Askar Hamdulla, Xing Tan:
Text Filtering through Multi-Pattern Matching: A Case Study of Wu-Manber-Uy on the Language of Uyghur. Inf. 10(8): 246 (2019) - [c136]Zhaohui Liang, Jun Liu, Honglai Zhang, Jimmy Xiangji Huang, Ziping Li, Stephen Chan:
Patient Entity Recognition by Automatic EHR Context Understanding and Deep Learning. BIBM 2019: 1096-1099 - [c135]Jinyuan Zhang, Jimmy Xiangji Huang, Qinmin Vivian Hu:
A classification-based selection for evolutionary optimization. GECCO (Companion) 2019: 328-329 - [c134]Haining Wang, Jimmy Huang, Zhewei Zhang:
The Impact of Deep Learning on Organizational Agility. ICIS 2019 - [c133]Xing Tan, Jimmy Xiangji Huang:
On Computational Complexity of Pickup-and-Delivery Problems with Precedence Constraints or Time Windows. IJCAI 2019: 5635-5643 - [c132]Xinhui Tu, Jimmy Huang, Jing Luo, Runjie Zhu, Tingting He:
Parrot: A Python-based Interactive Platform for Information Retrieval Research. SIGIR 2019: 1289-1292 - 2018
- [j52]Jimmy Xiangji Huang, Ben He, Jiashu Zhao:
Mining authoritative and topical evidence from the blogosphere for improving opinion retrieval. Inf. Syst. 78: 199-213 (2018) - [j51]Jianbin Sun, Jimmy Xiangji Huang, Leilei Chang, Jiang Jiang, Yuejin Tan:
BRBcast: A new approach to belief rule-based system parameter learning via extended causal strength logic. Inf. Sci. 444: 51-71 (2018) - [j50]Hajer Ayadi, Mouna Torjmen Khemakhem, Mariam Daoud, Jimmy Xiangji Huang, Maher Ben Jemaa:
MF-Re-Rank: A modality feature-based Re-Ranking model for medical image retrieval. J. Assoc. Inf. Sci. Technol. 69(9): 1095-1108 (2018) - [j49]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) - [j48]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) - [c131]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 - [c130]Turdi Tohti, Lirui Xu, Jimmy Huang, Winira Musajan, Askar Hamdulla:
Character-Based N-gram Model for Uyghur Text Retrieval. CCBR 2018: 678-688 - [c129]Sadra Abrishamkar, Jimmy Xiangji Huang:
OurDirection: An Interactive Dialogue Framework For Chatting with Government Officials. DocEng 2018: 45:1-45:4 - [c128]Xing Tan, Jimmy Xiangji Huang:
Levenshtein in Blocks World: String Matching via AI Planning. ICTIR 2018: 171-174 - [c127]Xing Tan, Fanghong Jiang, Jimmy Xiangji Huang:
StatBM25: An Aggregative and Statistical Approach for Document Ranking. ICTIR 2018: 207-210 - [c126]Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He:
CAN: Enhancing Sentence Similarity Modeling with Collaborative and Adversarial Network. SIGIR 2018: 815-824 - [c125]Haohao Hu, Runjie Zhu, Yuqi Wang, Wenying Feng, Xing Tan, Jimmy Xiangji Huang:
A Best Match KNN-based Approach for Large-scale Product Categorization. eCOM@SIGIR 2018 - [c124]Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He:
A New Term Frequency Normalization Model for Probabilistic Information Retrieval. SIGIR 2018: 1237-1240 - 2017
- [j47]Hajer Ayadi, Mouna Torjmen Khemakhem, Mariam Daoud, Jimmy Xiangji Huang, Maher Ben Jemaa:
Mining correlations between medically dependent features and image retrieval models for query classification. J. Assoc. Inf. Sci. Technol. 68(5): 1323-1334 (2017) - [j46]Xiangdong An, Jimmy Xiangji Huang:
geNov: A new metric for measuring novelty and relevancy in biomedical information retrieval. J. Assoc. Inf. Sci. Technol. 68(11): 2620-2635 (2017) - [j45]Melyara Mezzi, Nadjia Benblidia, Xiangji Huang:
A Semantically Enriched Context-Aware Stemming Algorithm. J. Integr. Des. Process. Sci. 21(4): 5-24 (2017) - [j44]Wenying Feng, Toufiq Hossain Kazi, Gongzhu Hu, Jimmy Xiangji Huang:
pART2: using adaptive resonance theory for web caching prefetching. Neural Comput. Appl. 28(S-1): 1275-1288 (2017) - [j43]Wenying Feng, Toufiq Hossain Kazi, Gongzhu Hu, Jimmy Xiangji Huang:
Correction to: pART2: using adaptive resonance theory for web caching prefetching. Neural Comput. Appl. 28(S-1): 1289 (2017) - [j42]Guangyou Zhou, Jimmy Xiangji Huang:
Modeling and Learning Distributed Word Representation with Metadata for Question Retrieval. IEEE Trans. Knowl. Data Eng. 29(6): 1226-1239 (2017) - [j41]Guangyou Zhou, Jimmy Xiangji Huang:
Modeling and Mining Domain Shared Knowledge for Sentiment Analysis. ACM Trans. Inf. Syst. 36(2): 18:1-18:36 (2017) - [c123]Hajer Ayadi, Mouna Torjmen Khemakhem, Jimmy Xiangji Huang, Mariam Daoud, Maher Ben Jemaa:
Learning to Re-rank Medical Images Using a Bayesian Network-Based Thesaurus. ECIR 2017: 160-172 - [c122]Xing Tan, Fanghong Jian, Jimmy Xiangji Huang:
On the Effectiveness of Bayesian Network-based Models for Document Ranking. ICTIR 2017: 309-312 - [c121]Guojun Gan, Jimmy Xiangji Huang:
A Data Mining Framework for Valuing Large Portfolios of Variable Annuities. KDD 2017: 1467-1475 - [c120]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
- [j40]Zheng Ye, Jimmy Xiangji Huang:
A learning to rank approach for quality-aware pseudo-relevance feedback. J. Assoc. Inf. Sci. Technol. 67(4): 942-959 (2016) - [j39]Craig A. Morioka, Frank Meng, Ricky K. Taira, James W. Sayre, Peter Zimmerman, David Ishimitsu, Jimmy Huang, Luyao Shen, Suzie El-Saden:
Automatic Classification of Ultrasound Screening Examinations of the Abdominal Aorta. J. Digit. Imaging 29(6): 742-748 (2016) - [j38]Jun Miao, Jimmy Xiangji Huang, Jiashu Zhao:
TopPRF: A Probabilistic Framework for Integrating Topic Space into Pseudo Relevance Feedback. ACM Trans. Inf. Syst. 34(4): 22:1-22:36 (2016) - [c119]Guangyou Zhou, Zhiwen Xie, Jimmy Xiangji Huang, Tingting He:
Bi-Transferring Deep Neural Networks for Domain Adaptation. ACL (1) 2016 - [c118]Xing Tan, Xiangdong An, Nicholas Pairaudeau, Jimmy Huang:
Towards a Formal Account of the Dynamics of Knowledge and Context in Surgical Rooms for the Practice of Surgical Safety CheckLists. AMIA 2016 - [c117]Zhaohui Liang, Andrew Powell, Ilker Ersoy, Mahdieh Poostchi, Kamolrat Silamut, Kannappan Palaniappan, Peng Guo, Md Amir Hossain, Sameer K. Antani, Richard James Maude, Jimmy Xiangji Huang, Stefan Jaeger, George R. Thoma:
CNN-based image analysis for malaria diagnosis. BIBM 2016: 493-496 - [c116]Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He, Po Hu:
A Simple Enhancement for Ad-hoc Information Retrieval via Topic Modelling. SIGIR 2016: 733-736 - [c115]Xinhui Tu, Jimmy Xiangji Huang, Jing Luo, Tingting He:
Exploiting Semantic Coherence Features for Information Retrieval. SIGIR 2016: 837-840 - [c114]Xing Tan, Jimmy Xiangji Huang, Aijun An:
Ranking Documents Through Stochastic Sampling on Bayesian Network-based Models: A Pilot Study. SIGIR 2016: 961-964 - 2015
- [c113]Zhaohui Liang, Gang Zhang, Jimmy Xiangji Huang:
Discovery of the relations between genetic polymorphism and adverse drug reactions. BIBM 2015: 543-548 - [c112]Andia Ghoddousi, Jimmy Xiangji Huang:
York University at CLEF 2015 eHealth : Medical Document Retrieval. CLEF (Working Notes) 2015 - [c111]Baiyan Liu, Xiangdong An, Jimmy Xiangji Huang:
Using Term Location Information to Enhance Probabilistic Information Retrieval. SIGIR 2015: 883-886 - 2014
- [j37]Wenying Feng, Qinglei Zhang, Gongzhu Hu, Jimmy Xiangji Huang:
Mining network data for intrusion detection through combining SVMs with ant colony networks. Future Gener. Comput. Syst. 37: 127-140 (2014) - [j36]Jiashu Zhao, Jimmy Xiangji Huang, Zheng Ye:
Modeling Term Associations for Probabilistic Information Retrieval. ACM Trans. Inf. Syst. 32(2): 7:1-7:47 (2014) - [c110]Lingfeng Zeng, Changrong Meng, Ziping Li, Xiangji Huang, Zhaohui Liang:
Cloud computing and its decision-making for medical and health informatization in the context of big data. BIBM 2014: 201-206 - [c109]Lingfeng Zeng, Changrong Meng, Zhaohui Liang, Xiangji Huang, Ziping Li:
Stroke unit of integrative medicine for post stroke comorbid anxiety and depression: A systematic review and meta-analysis of 25 randomized controlled trials. BIBM 2014: 207-212 - [c108]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 - [c107]Znaonui Liang, Gang Zhang, Jimmy Xiangji Huang, Qmming Vivian Hu:
Deep learning for healthcare decision making with EMRs. BIBM 2014: 556-559 - [c106]Jiajin Wu, Jimmy Huang:
Task 3a: Team YORKU. CLEF (Working Notes) 2014: 276-282 - [c105]Hajer Ayadi, Mouna Torjmen Khemakhem, Mariam Daoud, Jimmy Xiangji Huang, Maher Ben Jemaa:
Apprentissage de classification des requêtes basée sur la confiance et la couverture. CORIA-CIFED 2014: 303-318 - [c104]Qinmin Hu, Xiangji Huang:
Bringing Information Retrieval into Crowdsourcing: A Case Study. ECIR 2014: 631-637 - [c103]Zheng Ye, Jimmy Xiangji Huang:
A simple term frequency transformation model for effective pseudo relevance feedback. SIGIR 2014: 323-332 - [c102]Jiashu Zhao, Jimmy Xiangji Huang:
An enhanced context-sensitive proximity model for probabilistic information retrieval. SIGIR 2014: 1131-1134 - 2013
- [j35]Mariam Daoud, Jimmy Xiangji Huang:
Mining query-driven contexts for geographic and temporal search. Int. J. Geogr. Inf. Sci. 27(8): 1530-1549 (2013) - [j34]Jimmy Xiangji Huang, Jun Miao, Ben He:
High performance query expansion using adaptive co-training. Inf. Process. Manag. 49(2): 441-453 (2013) - [j33]Mariam Daoud, Jimmy Xiangji Huang:
Modeling geographic, temporal, and proximity contexts for improving geotemporal search. J. Assoc. Inf. Sci. Technol. 64(1): 190-212 (2013) - [j32]Qinmin Hu, Jimmy Xiangji Huang:
Enhancing genomics Information Retrieval through Dimensional Analysis. J. Bioinform. Comput. Biol. 11(3) (2013) - [j31]Xiaoshi Yin, Jimmy Xiangji Huang, Zhoujun Li, Xiaofeng Zhou:
A Survival Modeling Approach to Biomedical Search Result Diversification Using Wikipedia. IEEE Trans. Knowl. Data Eng. 25(6): 1201-1212 (2013) - [j30]Yang Liu, Xiaohui Yu, Aijun An, Xiangji Huang:
Riding the tide of sentiment change: sentiment analysis with evolving online reviews. World Wide Web 16(4): 477-496 (2013) - [c101]Changrong Meng, Honglai Zhang, Lingfeng Zeng, Ziping Li, Jimmy Huang, Zhaohui Liang:
Evidence-based decision support for the clinical practice of acupuncture: Data mining approaches. BIBM 2013: 180-181 - [c100]Gang Zhang, Xiangyang Shu, Yongjing Huang, Yingrong Lao, Zhaohui Liang, Shanxing Ou, Jimmy Huang:
A sparse Bayesian multi-instance multi-label model for skin biopsy image analysis. BIBM 2013: 261-266 - [c99]Yi-fei Cai, Zhaohui Liang, Tong He, Gang Zhang, Jimmy Xiangji Huang, Xing Zeng:
Augmenting LASSO regression with decision tree for identifying the correlation of genetic polymorphism and adverse events. BIBM 2013: 355-360 - [c98]Jiayue Zhang, Jimmy Xiangji Huang, Jun Guo, Weiran Xu:
Promoting electronic health record search through a time-aware approach. BIBM 2013: 593-596 - [c97]Jiefu Pei, Bo Ling, Simon Liao, Baiyan Liu, Jimmy Xiangji Huang, Trevor Strome, Ricardo Lobato de Faria, Michael G. Zhang:
Improving prediction accuracy of influenza-like illnesses in hospital emergency departments. BIBM 2013: 602-607 - [c96]Mariam Daoud, Jimmy Xiangji Huang, William Melek, C. Joseph Kurian:
A semantic feature space for disease prediction. BIBM 2013: 617 - [c95]Jiajin Wu, Jimmy Huang, Zheng Ye:
Expoliting rich features for promoting diversity in biomedical information retrieval. BIBM 2013: 624 - [c94]Hajer Ayadi, Mouna Torjmen, Mariam Daoud, Maher Ben Jemaa, Jimmy Xiangji Huang:
Correlating medical-dependent query features with image retrieval models using association rules. CIKM 2013: 299-308 - [c93]Atanaz Babashzadeh, Mariam Daoud, Jimmy Huang:
Using Semantic-Based Association Rule Mining for Improving Clinical Text Retrieval. HIS 2013: 186-197 - [c92]Parvaz Mahdabi, Shima Gerani, Jimmy Xiangji Huang, Fabio Crestani:
Leveraging conceptual lexicon: query disambiguation using proximity information for patent retrieval. SIGIR 2013: 113-122 - [c91]Atanaz Babashzadeh, Jimmy Huang, Mariam Daoud:
Exploiting semantics for improving clinical information retrieval. SIGIR 2013: 801-804 - [c90]Xiangdong An, Jimmy Xiangji Huang:
Boosting novelty for biomedical information retrieval through probabilistic latent semantic analysis. SIGIR 2013: 829-832 - [c89]Sushma Yalamarti, Mariam Daoud, Jimmy Huang:
York University at TREC 2013: Contextual Suggestion Track. TREC 2013 - 2012
- [j29]Qinmin Hu, Jimmy Huang, Xiaohua Hu:
Modeling and mining term association for improving biomedical information retrieval performance. BMC Bioinform. 13(S-9): S2 (2012) - [j28]Xiaoshi Yin, Jimmy Xiangji Huang, Zhoujun Li:
Re-ranking with context for high-performance biomedical information retrieval. Int. J. Data Min. Bioinform. 6(2): 115-129 (2012) - [j27]Stefan M. Rüger, Vijay V. Raghavan, Irwin King, Jimmy Xiangji Huang:
Special issue on advances in web intelligence. Neurocomputing 76(1): 48-49 (2012) - [j26]Cheng Hua Li, Jimmy Xiangji Huang:
Spam filtering using semantic similarity approach and adaptive BPNN. Neurocomputing 92: 88-97 (2012) - [j25]Zheng Ye, Jimmy Xiangji Huang, Ben He, Hongfei Lin:
Mining a multilingual association dictionary from Wikipedia for cross-language information retrieval. J. Assoc. Inf. Sci. Technol. 63(12): 2474-2487 (2012) - [j24]Xiaohui Yu, Yang Liu, Xiangji Huang, Aijun An:
Mining Online Reviews for Predicting Sales Performance: A Case Study in the Movie Domain. IEEE Trans. Knowl. Data Eng. 24(4): 720-734 (2012) - [c88]Jiashu Zhao, Jimmy Xiangji Huang, Xiaohua Hu, C. Joseph Kurian, William Melek:
A Bayesian-based prediction model for personalized medical health care. BIBM 2012: 1-4 - [c87]Jun Miao, Jimmy Xiangji Huang, Zheng Ye:
Proximity-based rocchio's model for pseudo relevance. SIGIR 2012: 535-544 - [c86]Zheng Ye, Jimmy Xiangji Huang, Jun Miao:
A hybrid model for ad-hoc information retrieval. SIGIR 2012: 1025-1026 - [c85]Jiashu Zhao, Jimmy Xiangji Huang, Shicheng Wu:
Rewarding term location information to enhance probabilistic information retrieval. SIGIR 2012: 1137-1138 - [c84]Jun Miao, Zheng Ye, Jimmy Huang:
York University at TREC 2012: Medical Records Track. TREC 2012 - [c83]Zahra Amin Nayeri, Zheng Ye, Jimmy Xiangji Huang:
York University at TREC 2012: Microblog Track. TREC 2012 - 2011
- [j23]Qinmin Hu, Jimmy Huang, Jun Miao:
A robust approach to optimizing multi-source information for enhancing genomics retrieval performance. BMC Bioinform. 12(S-5): S6 (2011) - [j22]Xiaoshi Yin, Zhoujun Li, Jimmy Huang, Xiaohua Hu:
Promoting ranking diversity for genomics search with relevance-novelty combined model. BMC Bioinform. 12(S-5): S8 (2011) - [j21]Stefan M. Rüger, Vijay V. Raghavan, Irwin King, Jimmy Xiangji Huang:
Special Issue Review: Neurocomputing - Special Issue on Advances in Web Intelligence. IEEE Intell. Informatics Bull. 12(1): 35-36 (2011) - [j20]Zheng Ye, Jimmy Xiangji Huang, Hongfei Lin:
Incorporating rich features to boost information retrieval performance: A SVM-regression based re-ranking approach. Expert Syst. Appl. 38(6): 7569-7574 (2011) - [j19]Xiaoshi Yin, Jimmy Xiangji Huang, Zhoujun Li:
Mining and modeling linkage information from citation context for improving biomedical literature retrieval. Inf. Process. Manag. 47(1): 53-67 (2011) - [j18]Yang Liu, Xiaohui Yu, Jimmy Xiangji Huang, Aijun An:
Combining integrated sampling with SVM ensembles for learning from imbalanced datasets. Inf. Process. Manag. 47(4): 617-631 (2011) - [j17]Ben He, Jimmy Xiangji Huang, Xiaofeng Zhou:
Modeling term proximity for probabilistic information retrieval models. Inf. Sci. 181(14): 3017-3031 (2011) - [j16]Zheng Ye, Jimmy Xiangji Huang, Hongfei Lin:
Finding a good query-related topic for boosting pseudo-relevance feedback. J. Assoc. Inf. Sci. Technol. 62(4): 748-760 (2011) - [c82]Yan Chen, Xiaoshi Yin, Zhoujun Li, Xiaohua Hu, Jimmy Xiangji Huang:
Promoting Ranking Diversity for Biomedical Information Retrieval Based on LDA. BIBM 2011: 456-461 - [c81]Qinmin Hu, Jimmy Xiangji Huang, Xiaohua Hu:
A Term Association Approach for Genomics Information Retrieval. BIBM 2011: 532-537 - [c80]Zheng Ye, Xiangji Huang, Hongfei Lin:
A Bayesian network approach to context sensitive query expansion. SAC 2011: 1138-1142 - [c79]Jiashu Zhao, Jimmy Xiangji Huang, Ben He:
CRTER: using cross terms to enhance probabilistic information retrieval. SIGIR 2011: 155-164 - [c78]Xiaofeng Zhou, Jimmy Xiangji Huang, Ben He:
Enhancing ad-hoc relevance weighting using probability density estimation. SIGIR 2011: 175-184 - [c77]Mariam Daoud, Dawid Kasperowicz, Jun Miao, Jimmy Huang:
York University at TREC 2011: Medical Records Track. TREC 2011 - [c76]Mihai Lupu, Jiashu Zhao, Jimmy Huang, Harsha Gurulingappa, Juliane Fluck, Marc Zimmermann, Igor V. Filippov, John Tait:
Overview of the TREC 2011 Chemical IR Track. TREC 2011 - [c75]