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ORCIDGabriel Pui Cheong Fung
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2020 – today
- 2021
[j18]Jia Zhu
, Zetao Zheng, Min Yang, Gabriel Pui Cheong Fung, Changqin Huang:
Protein Complexes Detection Based on Semi-Supervised Network Embedding Model. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 797-803 (2021)- [i5]Hongru Wang, Zezhong Wang, Gabriel Pui Cheong Fung, Kam-Fai Wong:
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging. CoRR abs/2108.11635 (2021) - [i4]Hongru Wang, Mingyu Cui, Zimo Zhou, Gabriel Pui Cheong Fung, Kam-Fai Wong:
TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue System. CoRR abs/2109.05187 (2021) - [i3]Zezhong Wang, Hongru Wang, Wai-Chung Kwan, Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong:
Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning. CoRR abs/2109.05234 (2021) - [i2]Hongru Wang, Zhijing Jin, Jiarun Cao, Gabriel Pui Cheong Fung, Kam-Fai Wong:
Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning. CoRR abs/2110.08254 (2021) - 2020
- [j17]Jia Zhu, Zetao Zheng, Min Yang, Gabriel Pui Cheong Fung, Yong Tang:
A semi-supervised model for knowledge graph embedding. Data Min. Knowl. Discov. 34(1): 1-20 (2020) - [c33]Jia Zhu, Weihao Yu, Zetao Zheng, Changqin Huang, Yong Tang, Gabriel Pui Cheong Fung:
Learning from Interpretable Analysis: Attention-Based Knowledge Tracing. AIED (2) 2020: 364-368 - [c32]Hongru Wang, Xiangru Tang, Sunny Lai, Kwong-Sak Leung, Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong:
CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning. SemEval@COLING 2020: 391-400 - [i1]Hongru Wang, Min Li, Zimo Zhou, Gabriel Pui Cheong Fung, Kam-Fai Wong:
KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System. CoRR abs/2011.08772 (2020)
2010 – 2019
- 2019
- [j16]Jia Zhu, Gabriel Pui Cheong Fung, Zeyang Lei, Min Yang, Ying Shen:
An in-depth study of similarity predicate committee. Inf. Process. Manag. 56(3): 381-393 (2019) - [j15]Jia Zhu, Changqin Huang, Min Yang, Gabriel Pui Cheong Fung:
Context-based prediction for road traffic state using trajectory pattern mining and recurrent convolutional neural networks. Inf. Sci. 473: 190-201 (2019) - [j14]Changqin Huang, Jia Zhu, Yuzhi Liang, Min Yang, Gabriel Pui Cheong Fung, Junyu Luo:
An efficient automatic multiple objectives optimization feature selection strategy for internet text classification. Int. J. Mach. Learn. Cybern. 10(5): 1151-1163 (2019) - 2018
- [j13]Changqin Huang, Jia Zhu, Xiaodi Huang, Min Yang, Gabriel Pui Cheong Fung, Qintai Hu:
A novel approach for entity resolution in scientific documents using context graphs. Inf. Sci. 432: 431-441 (2018) - [j12]Jia Zhu, Xingcheng Wu, Xueqin Lin, Changqin Huang, Gabriel Pui Cheong Fung, Yong Tang:
A novel multiple layers name disambiguation framework for digital libraries using dynamic clustering. Scientometrics 114(3): 781-794 (2018) - [c31]Dingmin Wang, Gabriel Pui Cheong Fung, Maxime Debosschere, Shichao Dong, Jia Zhu, Kam-Fai Wong:
A New Benchmark and Evaluation Schema for Chinese Typo Detection and Correction. AAAI 2018: 8169-8170 - [c30]Wei Zhao, Jia Zhu, Min Yang, Danyang Xiao, Gabriel Pui Cheong Fung, Xiaojun Chen:
A Semi-Supervised Network Embedding Model for Protein Complexes Detection. AAAI 2018: 8185-8186 - 2017
- [j11]Chuanhua Xu, Jia Zhu, Jin Huang, Zhixu Li, Gabriel Pui Cheong Fung:
A health management tool based smart phone. Multim. Tools Appl. 76(16): 17541-17558 (2017) - [c29]Gabriel Pui Cheong Fung, Maxime Debosschere, Dingmin Wang, Bo Li, Jia Zhu, Kam-Fai Wong:
NLPTEA 2017 Shared Task - Chinese Spelling Check. NLP-TEA@IJCNLP 2017: 29-34 - [c28]Xueqin Lin, Jia Zhu, Yong Tang, Gabriel Pui Cheong Fung, Jin Huang, Changqin Huang, Feiyi Tang:
A study on the landscape of cancer disease researches using bibliometric methods and social network analysis. CSCWD 2017: 239-244 - 2016
- [j10]Jia Zhu, Chuanhua Xu, Zhixu Li, Gabriel Pui Cheong Fung, Xueqin Lin, Jin Huang, Changqin Huang:
An examination of on-line machine learning approaches for pseudo-random generated data. Clust. Comput. 19(3): 1309-1321 (2016) - [j9]Jia Zhu, Gabriel Pui Cheong Fung, Wai-Hung Collin Wong, Zhixu Li, Chuanhua Xu:
Evaluating the Pros and Cons of Different Peer Review Policies via Simulation. Sci. Eng. Ethics 22(4): 1073-1094 (2016) - [c27]Shichao Dong, Gabriel Pui Cheong Fung, Binyang Li, Baolin Peng, Ming Liao, Jia Zhu, Kam-Fai Wong:
ACE: Automatic Colloquialism, Typographical and Orthographic Errors Detection for Chinese Language. COLING (Demos) 2016: 194-197 - [c26]Lingyiao Chen, Jia Zhu, Yong Tang, Gabriel Pui Cheong Fung, Wai-Hung Collin Wong, Zhixu Li:
The strength of social networks - connecting people and enhancing relationship. CSCWD 2016: 470-475 - 2015
- [c25]Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong, Binyang Li, Zhixu Li, Haoye Dong:
The Role of Physical Location in Our Online Social Networks. WAIM 2015: 498-501 - 2012
- [j8]Geoffrey Barbier, Reza Zafarani, Huiji Gao, Gabriel Pui Cheong Fung, Huan Liu:
Maximizing benefits from crowdsourced data. Comput. Math. Organ. Theory 18(3): 257-279 (2012) - [j7]Ke Deng, Shazia Wasim Sadiq, Xiaofang Zhou, Hu Xu, Gabriel Pui Cheong Fung, Yansheng Lu:
On Group Nearest Group Query Processing. IEEE Trans. Knowl. Data Eng. 24(2): 295-308 (2012) - [j6]Kai Zheng, Xiaofang Zhou, Gabriel Pui Cheong Fung, Kexin Xie:
Spatial query processing for fuzzy objects. VLDB J. 21(5): 729-751 (2012) - [j5]Jing Yang, Gabriel Pui Cheong Fung, Wei Lu, Xiaofang Zhou, Hong Chen, Xiaoyong Du:
Finding superior skyline points for multidimensional recommendation applications. World Wide Web 15(1): 33-60 (2012) - 2011
- [j4]Wei Lu, Gabriel Pui Cheong Fung, Xiaoyong Du, Xiaofang Zhou, Lijiang Chen, Ke Deng:
Approximate entity extraction in temporal databases. World Wide Web 14(2): 157-186 (2011) - [c24]Gabriel Pui Cheong Fung, Fred Morstatter, Huan Liu:
Feature Selection Strategy in Text Classification. PAKDD (1) 2011: 26-37 - [c23]Jia Zhu, Gabriel Pui Cheong Fung, Liwei Wang:
Efficient Name Disambiguation in Digital Libraries. WAIM 2011: 430-441 - [c22]Jia Zhu, Xiaofang Zhou, Gabriel Pui Cheong Fung:
Enhance Web Pages Genre Identification Using Neighboring Pages. WISE 2011: 282-289 - 2010
- [c21]Wei Lu, Chuitian Rong, Jinchuan Chen, Xiaoyong Du, Gabriel Pui Cheong Fung, Xiaofang Zhou:
Efficient Common Items Extraction from Multiple Sorted Lists. APWeb 2010: 219-225 - [c20]Gabriel Pui Cheong Fung, Wei Lu, Jing Yang, Xiaoyong Du, Xiaofang Zhou:
Extract Interesting Skyline Points in High Dimension. DASFAA (2) 2010: 94-108 - [c19]Jia Zhu, Gabriel Pui Cheong Fung, Xiaofang Zhou:
Anddy: A System for Author Name Disambiguation in Digital Library. DASFAA (2) 2010: 444-447 - [c18]Ke Deng, Liwei Wang, Xiaofang Zhou, Shazia Wasim Sadiq, Gabriel Pui Cheong Fung:
Active Duplicate Detection. DASFAA (1) 2010: 565-579 - [c17]Kai Zheng, Gabriel Pui Cheong Fung, Xiaofang Zhou:
K-nearest neighbor search for fuzzy objects. SIGMOD Conference 2010: 699-710 - [c16]Jia Zhu, Gabriel Pui Cheong Fung, Xiaofang Zhou:
Efficient web pages identification for entity resolution. WWW 2010: 1223-1224
2000 – 2009
- 2009
- [j3]Di Wu, Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Qi Pan:
Stock prediction: an event-driven approach based on bursty keywords. Frontiers Comput. Sci. China 3(2): 145-157 (2009) - [c15]Gabriel Pui Cheong Fung, Wei Lu, Xiaoyong Du:
Dominant and K Nearest Probabilistic Skylines. DASFAA 2009: 263-277 - [c14]Ke Deng, Hu Xu, Shazia W. Sadiq, Yansheng Lu, Gabriel Pui Cheong Fung, Heng Tao Shen:
Processing Group Nearest Group Query. ICDE 2009: 1144-1147 - [c13]Jia Zhu, Xiaofang Zhou, Gabriel Pui Cheong Fung:
A Term-Based Driven Clustering Approach for Name Disambiguation. APWeb/WAIM 2009: 320-331 - 2008
- [c12]Di Wu, Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Zheng Liu:
Mining Multiple Time Series Co-movements. APWeb 2008: 572-583 - [c11]Di Wu, Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Zheng Liu:
Integrating Multiple Data Sources for Stock Prediction. WISE 2008: 77-89 - 2007
- [c10]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Huan Liu, Philip S. Yu:
Time-dependent event hierarchy construction. KDD 2007: 300-309 - 2006
- [b1]Gabriel Pui Cheong Fung:
Parameter free document stream classification. Chinese University of Hong Kong, Hong Kong, 2006 - [j2]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu, Philip S. Yu:
Text Classification without Negative Examples Revisit. IEEE Trans. Knowl. Data Eng. 18(1): 6-20 (2006) - [c9]Gabriel Pui Cheong Fung:
Vise: A System for Visualizing Salient Events in a Text Stream. HIS 2006: 40 - [c8]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Haixun Wang, David W. Cheung, Huan Liu:
A Balanced Ensemble Approach to Weighting Classifiers for Text Classification. ICDM 2006: 869-873 - 2005
- [j1]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu:
The Predicting Power of Textual Information on Financial Markets. IEEE Intell. Informatics Bull. 5(1): 1-10 (2005) - [c7]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu, Philip S. Yu:
Text Classification without Labeled Negative Documents. ICDE 2005: 594-605 - [c6]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Philip S. Yu, Hongjun Lu:
Parameter Free Bursty Events Detection in Text Streams. VLDB 2005: 181-192 - 2004
- [c5]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu:
Classifying Text Streams in the Presence of Concept Drifts. PAKDD 2004: 373-383 - 2003
- [c4]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Wai Lam:
Stock prediction: Integrating text mining approach using real-time news. CIFEr 2003: 395-402 - [c3]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu:
Classifying High-Speed Text Streams. WAIM 2003: 148-160 - 2002
- [c2]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu:
Discriminative Category Matching: Efficient Text Classification for Huge Document Collections. ICDM 2002: 187-194 - [c1]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Wai Lam:
News Sensitive Stock Trend Prediction. PAKDD 2002: 481-493
Coauthor Index
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