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ORCIDDaniel Dajun Zeng
Daniel Zeng
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- affiliation: University of Arizona, Tucson, USA
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2020 – today
- 2021
[j133]Yunji Liang
, Huihui Li, Bin Guo, Zhiwen Yu, Xiaolong Zheng, Sagar Samtani, Daniel Dajun Zeng:
Fusion of heterogeneous attention mechanisms in multi-view convolutional neural network for text classification. Inf. Sci. 548: 295-312 (2021)- 2020
- [j132]Mingyue Zhang, Xuan Wei, Daniel Dajun Zeng:
A matter of reevaluation: Incentivizing users to contribute reviews in online platforms. Decis. Support Syst. 128 (2020) - [j131]Wingyan Chung, Daniel Zeng:
Dissecting emotion and user influence in social media communities: An interaction modeling approach. Inf. Manag. 57(1) (2020) - [j130]Qiudan Li, Daniel Dajun Zeng, David Jingjun Xu, Ruoran Liu, Riheng Yao:
Understanding and Predicting Users' Rating Behavior: A Cognitive Perspective. INFORMS J. Comput. 32(4): 996-1011 (2020) - [j129]Qingchao Kong, Wenji Mao, Guandan Chen, Daniel Zeng:
Exploring Trends and Patterns of Popularity Stage Evolution in Social Media. IEEE Trans. Syst. Man Cybern. Syst. 50(10): 3817-3827 (2020) - [c167]Riheng Yao, Shuangyong Song, Qiudan Li, Chao Wang, Huan Chen, Haiqing Chen, Daniel Dajun Zeng:
Session-Level User Satisfaction Prediction for Customer Service Chatbot in E-Commerce (Student Abstract). AAAI 2020: 13973-13974 - [c166]Zikang Wang, Linjing Li, Daniel Zeng:
Knowledge-Enhanced Natural Language Inference Based on Knowledge Graphs. COLING 2020: 6498-6508 - [c165]Zikang Wang, Linjing Li, Daniel Dajun Zeng:
A Re-Ranking Framework for Knowledge Graph Completion. IJCNN 2020: 1-8 - [c164]Rongrong Jing, Hu Xian, Yidi Li, Xingwei Zhang, Xiaolong Zheng, Zhu Zhang, Daniel Zeng:
Improving the Data Quality for Credit Card Fraud Detection. ISI 2020: 1-6 - [c163]Pu Miao, Hu Tian, Xingwei Zhang, Saike He, Xiaolong Zheng, Desheng Dash Wu, Daniel Zeng:
Analyzing the Evolutionary Characteristics of the Cluster of COVID-19 under Anti-contagion Policies. ISI 2020: 1-6 - [i8]Mengzhuo Guo, Qingpeng Zhang, Xiuwu Liao, Daniel Dajun Zeng:
An interpretable neural network model through piecewise linear approximation. CoRR abs/2001.07119 (2020) - [i7]Yang Ye, Qingpeng Zhang, Zhongyuan Ruan, Zhidong Cao, Qi Xuan, Daniel Dajun Zeng:
Modeling the heterogeneous disease-behavior-information dynamics during epidemics. CoRR abs/2005.07012 (2020) - [i6]Yanwu Yang, Kang Zhao, Daniel Zeng, Bernard Jim Jansen:
How Search Engine Advertising Affects Sales over Time: An Empirical Investigation. CoRR abs/2008.06809 (2020)
2010 – 2019
- 2019
- [j128]Peng Su, Daniel Zeng, Huimin Zhao:
Behavior Action Mining. IEEE Access 7: 19954-19964 (2019) - [j127]Yanwu Yang, Bernard J. Jansen, Yinghui Yang, Xunhua Guo, Daniel Zeng:
Keyword Optimization in Sponsored Search Advertising: A Multilevel Computational Framework. IEEE Intell. Syst. 34(1): 32-42 (2019) - [j126]Han Nie, Yanwu Yang, Daniel Zeng:
Keyword Generation for Sponsored Search Advertising: Balancing Coverage and Relevance. IEEE Intell. Syst. 34(5): 14-24 (2019) - [j125]Saike He, Xiaolong Zheng, Daniel Dajun Zeng:
Modeling online user behaviors with competitive interactions. Inf. Manag. 56(4): 463-475 (2019) - [j124]Yunji Liang, Xiaolong Zheng, Daniel Dajun Zeng:
A survey on big data-driven digital phenotyping of mental health. Inf. Fusion 52: 290-307 (2019) - [j123]Jie Bai, Linjing Li, Daniel Zeng:
HiWalk: Learning node embeddings from heterogeneous networks. Inf. Syst. 81: 82-91 (2019) - [j122]YongCheng Zhan, Jean-François Etter, Scott Leischow, Daniel Zeng:
Electronic cigarette usage patterns: a case study combining survey and social media data. J. Am. Medical Informatics Assoc. 26(1): 9-18 (2019) - [c162]Jiaheng Xie, Zhu Zhang, Xiao Liu, Daniel Zeng:
Discovering Barriers to Opioid Addiction Treatment from Social Media: A Similarity Network-Based Deep Learning Approach. ICIS 2019 - [c161]Jiaheng Xie, Zhu Zhang, Xiao Liu, Daniel Zeng:
Understanding Opioid Addiction with Similarity Network-Based Deep Learning. ICSH 2019: 134-141 - [c160]Jiaheng Xie, Xiao Liu, Daniel Zeng, Xiao Fang:
Extracting Medication Nonadherence Reasons with Sentiment-Enriched Deep Learning. ICSH 2019: 294-301 - [c159]Chiyu Cai, Linjing Li, Daniel Zeng, Hongyuan Ma:
Exploring Writing Pattern with Pop Culture Ingredients for Social User Modeling. IJCNN 2019: 1-8 - [c158]Zikang Wang, Linjing Li, Qiudan Li, Daniel Zeng:
Multimodal Data Enhanced Representation Learning for Knowledge Graphs. IJCNN 2019: 1-8 - [c157]Peng Yan, Linjing Li, Daniel Zeng:
A Shortcut-Stacked Document Encoder for Extractive Text Summarization. IJCNN 2019: 1-8 - [c156]Riheng Yao, Qiudan Li, Lei Wang, Daniel Dajun Zeng:
A Novel Neural Approach for News Reprint Prediction. IJCNN 2019: 1-8 - [c155]Saike He, Changliang Li, Hailiang Wang, Xiaolong Zheng, Zhu Zhang, Jiaojiao Wang, Daniel Zeng:
Attention Allocation of Twitter Users in Geopolitics. ISI 2019: 1-6 - [c154]Saike He, Hongtao Yang, Xiaolong Zheng, Bo Wang, Yujun Zhou, Yanjun Xiong, Daniel Zeng:
Massive Meme Identification and Popularity Analysis in Geopolitics. ISI 2019: 116-121 - [c153]Ruoran Liu, Qiudan Li, Daniel Dajun Zeng:
Inferring Users' Usage Patterns for Drug Abuse Surveillance. ISI 2019: 134-136 - [c152]Jiaqi Liang, Linjing Li, Weiyun Chen, Daniel Zeng:
Towards an Understanding of Cryptocurrency: A Comparative Analysis of Cryptocurrency, Foreign Exchange, and Stock. ISI 2019: 137-139 - [c151]Jiaojiao Wang, Jinglu Chen, Quannan Zu, Zhidong Cao, Saike He, Daniel Dajun Zeng:
Healthcare-seeking behavior study on Beijing Hand-Foot-Mouth Disease Patients. ISI 2019: 140-142 - [c150]Jie Bai, Qingchao Kong, Linjing Li, Lei Wang, Daniel Zeng:
Exploring Cognitive Dissonance on Social Media. ISI 2019: 143-145 - [c149]Chiyu Cai, Linjing Li, Weiyun Chen, Daniel Zeng:
Capturing Deep Dynamic Information for Mapping Users across Social Networks. ISI 2019: 146-148 - [c148]Jiaqi Liang, Linjing Li, Weiyun Chen, Daniel Zeng:
Targeted Addresses Identification for Bitcoin with Network Representation Learning. ISI 2019: 158-160 - [c147]Jiaqi Lang, Linjing Li, Weiyun Chen, Daniel Zeng:
Privacy Protection in Transformer-based Neural Network. ISI 2019: 182-184 - [c146]Yin Luo, Fangfang Wang, Feifei Zhao, Jianbin Guo, Lei Wang, Yanni Hao, Daniel Dajun Zeng:
A Framework for Policy Information Popularity Prediction in New Media. ISI 2019: 209-211 - [c145]Hejing Liu, Qiudan Li, Riheng Yao, Daniel Dajun Zeng:
Analyzing Topics of JUUL Discussions on Social Media Using a Semantics-assisted NMF model. ISI 2019: 212-214 - [c144]Riheng Yao, Qiudan Li, Wei-Hsuan Lo-Ciganic, Daniel Dajun Zeng:
A Prior Knowledge Based Neural Attention Model for Opioid Topic Identification. ISI 2019: 215-217 - [c143]Peng Yan, Linjing Li, Weiyun Chen, Daniel Zeng:
Quantum-Inspired Density Matrix Encoder for Sexual Harassment Personal Stories Classification. ISI 2019: 218-220 - [c142]Tianyi Luo, Zhidong Cao, Daniel Zeng:
Research on Information Dissemination of Public Health Events Based on WeChat: A Case Study of Avian Influenza. ISI 2019: 221 - [c141]Qianyu Wang, Saike He, Xiaolong Zheng, Daniel Zeng:
Marketing Pattern Risks Detection Based on Semi-Supervised Learning. ISI 2019: 229 - [c140]Xuan Wei, Mingyue Zhang, Daniel Dajun Zeng:
The Effectiveness of Non-Persistent Social Status as an Incentive Mechanism. PACIS 2019: 31 - [c139]Jiaqi Liang, Linjing Li, Daniel Zeng, Shu Luan, Lu Gan:
Bitcoin Exchange Addresses Identification and Its Application in Online Drug Trading Regulation. PACIS 2019: 49 - [e22]Hsinchun Chen, Daniel Zeng, Xiangbin Yan, Chunxiao Xing:
Smart Health - International Conference, ICSH 2019, Shenzhen, China, July 1-2, 2019, Proceedings. Lecture Notes in Computer Science 11924, Springer 2019, ISBN 978-3-030-34481-8 [contents] - [i5]Jie Bai, Linjing Li, Daniel Zeng:
Spread-gram: A spreading-activation schema of network structural learning. CoRR abs/1909.13581 (2019) - 2018
- [j121]Yin Luo, Fangfang Wang, Jun Chen, Lei Wang, Daniel Dajun Zeng:
Integrating Deep Learning Approaches for Identifying News Reprint Relation. IEEE Access 6: 72163-72172 (2018) - [j120]Xiao Wei, Daniel Dajun Zeng, Xiangfeng Luo:
Concept evolution analysis based on the Dissipative Structure of Concept Semantic Space. Future Gener. Comput. Syst. 81: 384-394 (2018) - [j119]Xiao Wei, Daniel Dajun Zeng, Xiangfeng Luo, Wei Wu:
Building a large-scale testing dataset for conceptual semantic annotation of text. Int. J. Comput. Sci. Eng. 16(1): 63-72 (2018) - [j118]Yanwu Yang, Xin Li, Daniel Zeng, Bernard J. Jansen:
Aggregate effects of advertising decisions: A complex systems look at search engine advertising via an experimental study. Internet Res. 28(4): 1079-1102 (2018) - [j117]Daniel Zeng:
Thank You for Two Productive and Fun Years [Presidents' Message]. IEEE Intell. Transp. Syst. Mag. 10(1): 3-4 (2018) - [j116]Jiaheng Xie, Xiao Liu, Daniel Dajun Zeng:
Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation. J. Am. Medical Informatics Assoc. 25(1): 72-80 (2018) - [j115]David Zimbra, Ahmed Abbasi, Daniel Zeng, Hsinchun Chen:
The State-of-the-Art in Twitter Sentiment Analysis: A Review and Benchmark Evaluation. ACM Trans. Manag. Inf. Syst. 9(2): 5:1-5:29 (2018) - [c138]Ruoran Liu, Qiudan Li, Can Wang, Lei Wang, Daniel Dajun Zeng:
A Novel Embedding Method for News Diffusion Prediction. AAAI 2018: 8111-8112 - [c137]Luwen Huangfu, Daniel Zeng:
Social Media-based Overweight Prediction Using Deep Learning. AMCIS 2018 - [c136]Jiaheng Xie, Bin Zhang, Daniel Zeng:
Readmission Prediction Using Trajectory-Based Deep Learning Approach. ICSH 2018: 224-230 - [c135]Fan Lei, Qiudan Li, Song Sun, Lei Wang, Daniel Dajun Zeng:
Catching Dynamic Heterogeneous User Data for Identity Linkage Learning. IJCNN 2018: 1-8 - [c134]Penghui Wei, Wenji Mao, Daniel Zeng:
A Target-Guided Neural Memory Model for Stance Detection in Twitter. IJCNN 2018: 1-8 - [c133]Jiaqi Liang, Linjing Li, Daniel Zeng, Yunwei Zhao:
Correlation-based Dynamics and Systemic Risk Measures in the Cryptocurrency Market. ISI 2018: 43-48 - [c132]Zikang Wang, Linjing Li, Daniel Dajun Zeng, Yue Chen:
Attention-based Multi-hop Reasoning for Knowledge Graph. ISI 2018: 211-213 - [c131]Guandan Chen, Qingchao Kong, Wenji Mao, Daniel Zeng:
A Partition and Interaction Combined Model for Social Event Popularity Prediction. ISI 2018: 232-237 - [e21]Hsinchun Chen, Qing Fang, Daniel Zeng, Jiang Wu:
Smart Health - International Conference, ICSH 2018, Wuhan, China, July 1-3, 2018, Proceedings. Lecture Notes in Computer Science 10983, Springer 2018, ISBN 978-3-030-03648-5 [contents] - [i4]Jiaqi Liang, Linjing Li, Daniel Zeng:
Evolutionary dynamics of cryptocurrency transaction networks: An empirical study. CoRR abs/1808.08585 (2018) - 2017
- [j114]Daniel Zeng:
Getting Involved in IEEE Future Direction Initiatives. IEEE Intell. Transp. Syst. Mag. 9(1): 3-139 (2017) - [j113]Daniel Zeng:
Crosscutting IEEE Initiatives ? Please Consider to Contribute! [President's Message]. IEEE Intell. Transp. Syst. Mag. 9(2): 4-5 (2017) - [j112]Daniel Zeng:
Broadening the ITS Community [President's Message]. IEEE Intell. Transp. Syst. Mag. 9(3): 4-5 (2017) - [j111]Daniel Zeng:
Engaging the ITS Industry [President's Message]. IEEE Intell. Transp. Syst. Mag. 9(4): 4-5 (2017) - [j110]Junjie Lin, Wenji Mao, Daniel Dajun Zeng:
Personality-based refinement for sentiment classification in microblog. Knowl. Based Syst. 132: 204-214 (2017) - [j109]Weiyun Chen, Xin Li, Daniel Zeng:
Modeling Fixed Odds Betting for Future Event Prediction. MIS Q. 41(2): 645-665 (2017) - [j108]Yong Yuan, Fei-Yue Wang, Daniel Zeng:
Competitive Analysis of Bidding Behavior on Sponsored Search Advertising Markets. IEEE Trans. Comput. Soc. Syst. 4(3): 179-190 (2017) - [j107]Jie Bai, Linjing Li, Daniel Zeng, Qiudan Li:
Associated Activation-Driven Enrichment: Understanding Implicit Information from a Cognitive Perspective. IEEE Trans. Knowl. Data Eng. 29(12): 2655-2668 (2017) - [j106]Xiao Wei, Hong Hu, Daniel Dajun Zeng, Wei Wu:
Emergency Event Web Information Acquisition using Crowd Web Sensors. Wirel. Pers. Commun. 95(3): 2393-2411 (2017) - [c130]Chiyu Cai, Linjing Li, Daniel Zeng:
Detecting Social Bots by Jointly Modeling Deep Behavior and Content Information. CIKM 2017: 1995-1998 - [c129]Jiaheng Xie, Xiao Liu, Daniel Zeng, Xiao Fang:
Understanding Reasons for Medication Nonadherence: An Exploration in Social Media Using Sentiment-Enriched Deep Learning Approach. ICIS 2017 - [c128]Chenxi Cui, Wenji Mao, Xiaolong Zheng, Daniel Zeng:
Mining User Intents in Online Interactions: Applying to Discussions About Medical Event on SinaWeibo Platform. ICSH 2017: 177-183 - [c127]Can Wang, Qiudan Li, Lei Wang, Daniel Dajun Zeng:
Incorporating message embedding into co-factor matrix factorization for retweeting prediction. IJCNN 2017: 1265-1272 - [c126]Chiyu Cai, Linjing Li, Daniel Zeng:
Web-derived Emotional Word Detection in social media using Latent Semantic information. ISI 2017: 95-100 - [c125]Saike He, Xiaolong Zheng, Daniel Zeng:
The dynamics of health sentiments with competitive interactions in social media. ISI 2017: 101-106 - [c124]Song Sun, Qiudan Li, Peng Yan, Daniel Dajun Zeng:
Mapping users across social media platforms by integrating text and structure information. ISI 2017: 113-118 - [c123]Yuhao Zhang, Wenji Mao, Daniel Zeng:
Topic evolution modeling in social media short texts based on recurrent semantic dependent CRP. ISI 2017: 119-124 - [c122]Chiyu Cai, Linjing Li, Daniel Zeng:
Behavior enhanced deep bot detection in social media. ISI 2017: 128-130 - [c121]Junjie Lin, Wenji Mao, Daniel Zeng:
Topic and user based refinement for competitive perspective identification. ISI 2017: 131-133 - [c120]Jie Bai, Linjing Li, Lan Lu, Yanwu Yang, Daniel Zeng:
Real-time prediction of meme burst. ISI 2017: 167-169 - [c119]Wingyan Chung, Elizabeth Mustaine, Daniel Zeng:
Criminal intelligence surveillance and monitoring on social media: Cases of cyber-trafficking. ISI 2017: 191-193 - [c118]Saike He, Xiaolong Zheng, Daniel Zeng:
Modeling online collective emotions through knowledge transfer. ISI 2017: 194-196 - [c117]Ruoran Liu, Qiudan Li, Can Wang, Lei Wang, Daniel Dajun Zeng, Hongyuan Ma:
Mining phase evolution for hot topics: A case study from multiple social media platforms. SMC 2017: 2814-2819 - [e20]Hsinchun Chen, Daniel Dajun Zeng, Elena Karahanna, Indranil R. Bardhan:
Smart Health - International Conference, ICSH 2017, Hong Kong, China, June 26-27, 2017, Proceedings. Lecture Notes in Computer Science 10347, Springer 2017, ISBN 978-3-319-67963-1 [contents] - 2016
- [j105]Xiao Wei, Jun Zhang, Daniel Dajun Zeng, Qing Li:
A multi-level text representation model within background knowledge based on human cognitive process for big data analysis. Clust. Comput. 19(3): 1475-1487 (2016) - [j104]Qingpeng Zhang, Daniel Dajun Zeng, Fei-Yue Wang, Ronald L. Breiger, James A. Hendler:
Brokers or Bridges? Exploring Structural Holes in a Crowdsourcing System. Computer 49(6): 56-64 (2016) - [j103]Xiao Wei, Daniel Dajun Zeng:
ExNa: an efficient search pattern for semantic search engines. Concurr. Comput. Pract. Exp. 28(15): 4107-4124 (2016) - [j102]Saike He, Xiaolong Zheng, Daniel Zeng:
A model-free scheme for meme ranking in social media. Decis. Support Syst. 81: 1-11 (2016) - [j101]Daniel Zeng:
A Bright Future for IEEE Intelligent Systems. IEEE Intell. Syst. 31(6): 3-4 (2016) - [j100]Xin Li, Kun Chen, Sherry X. Sun, Terrance Fung, Huaiqing Wang, Daniel Dajun Zeng:
A Commonsense Knowledge-Enabled Textual Analysis Approach for Financial Market Surveillance. INFORMS J. Comput. 28(2): 278-294 (2016) - [j99]Yong Yuan, Fei-Yue Wang, Daniel Zeng:
Developing a cooperative bidding framework for sponsored search markets - An evolutionary perspective. Inf. Sci. 369: 674-689 (2016) - [j98]Matt Barth, Daniel Zeng:
Thank You for Two Exciting and Rewarding Years. IEEE Intell. Transp. Syst. Mag. 8(2): 3 (2016) - [j97]Daniel Zeng:
ITS and BIG DATA [President's Message]. IEEE Intell. Transp. Syst. Mag. 8(3): 3-4 (2016) - [j96]Wingyan Chung, Daniel Zeng:
Social-media-based public policy informatics: Sentiment and network analyses of U.S. Immigration and border security. J. Assoc. Inf. Sci. Technol. 67(7): 1588-1606 (2016) - [j95]Zhu Zhang, Xiaolong Zheng, Daniel Dajun Zeng:
A framework for diversifying recommendation lists by user interest expansion. Knowl. Based Syst. 105: 83-95 (2016) - [j94]Qiudan Li, Zhipeng Jin, Can Wang, Daniel Dajun Zeng:
Mining opinion summarizations using convolutional neural networks in Chinese microblogging systems. Knowl. Based Syst. 107: 289-300 (2016) - [j93]Yunji Liang, Xingshe Zhou, Daniel Dajun Zeng, Bin Guo, Xiaolong Zheng, Zhiwen Yu:
An Integrated Approach of Sensing Tobacco-Oriented Activities in Online Participatory Media. IEEE Syst. J. 10(3): 1193-1202 (2016) - [c116]Yuhao Zhang, Wenji Mao, Daniel Dajun Zeng:
A Non-Parametric Topic Model for Short Texts Incorporating Word Coherence Knowledge. CIKM 2016: 2017-2020 - [c115]Jiaojiao Wang, Zhidong Cao, Daniel Dajun Zeng, Quanyi Wang, Xiaoli Wang:
Assessment for spatial driving forces of HFMD prevalence in Beijing, China. EM-GIS 2016: 6:1-6:6 - [c114]Lubaina Maimoon, Joshua Chuang, Hongyi Zhu, Shuo Yu, Kuo-Shiuan Peng, Rahul Prayakarao, Jie Bai, Daniel Dajun Zeng, Shu-Hsing Li, Hsin-Min Lu, Hsinchun Chen:
SilverLink: Developing an International Smart and Connected Home Monitoring System for Senior Care. ICSH 2016: 65-77 - [c113]Zhipeng Jin, Ruoran Liu, Qiudan Li, Daniel Dajun Zeng, YongCheng Zhan, Lei Wang:
Predicting user's multi-interests with network embedding in health-related topics. IJCNN 2016: 2568-2575 - [c112]Jie Bai, Linjing Li, Daniel Zeng:
Activating topic models from a cognitive perspective. ISI 2016: 55-60 - [c111]Saike He, Xiaolong Zheng, Jiaojiao Wang, Zhijun Chang, Yin Luo, Daniel Zeng:
Meme extraction and tracing in crisis events. ISI 2016: 61-66 - [c110]Jiaojiao Wang, Saike He, Yiyuan Xu, Zhidong Cao, Lei Wang, Daniel Dajun Zeng:
Spatial-temporal patterns and drivers of illicit tobacco trade in Changsha county, China. ISI 2016: 127-132 - [c109]Chiyu Cai, Linjing Li, Daniel Zeng:
New words enlightened sentiment analysis in social media. ISI 2016: 202-204 - [c108]Jie Bai, Linjing Li, Daniel Zeng, Junjie Lin:
Social role clustering with topic model. ISI 2016: 211-213 - [c107]Junjie Lin, Wenji Mao, Daniel Zeng:
Competitive perspective identification via topic based refinement for online documents. ISI 2016: 214-216 - [c106]Zhipeng Jin, Qiudan Li, Daniel Dajun Zeng, YongCheng Zhan, Ruoran Liu, Lei Wang, Hongyuan Ma:
Jointly Modeling Review Content and Aspect Ratings for Review Rating Prediction. SIGIR 2016: 893-896 - [e19]Xiaolong Zheng, Daniel Dajun Zeng, Hsinchun Chen, Scott J. Leischow:
Smart Health - International Conference, ICSH 2015, Phoenix, AZ, USA, November 17-18, 2015. Revised Selected Papers. Lecture Notes in Computer Science 9545, Springer 2016, ISBN 978-3-319-29174-1 [contents] - 2015
- [j92]Xiao Wei, Daniel Dajun Zeng, Wei Wu, Yeming Dai:
Building the concept semantic space for large text database. Comput. Syst. Sci. Eng. 30(5) (2015) - [j91]Daniel Zeng:
Crystal Balls, Statistics, Big Data, and Psychohistory: Predictive Analytics and Beyond. IEEE Intell. Syst. 30(2): 2-4 (2015) - [j90]Daniel Zeng:
AI Ethics: Science Fiction Meets Technological Reality. IEEE Intell. Syst. 30(3): 2-5 (2015) - [j89]Weiyun Chen, Xin Li, Daniel Dajun Zeng:
Simple Is Beautiful: Toward Light Prediction Markets. IEEE Intell. Syst. 30(3): 76-80 (2015) - [j88]Daniel Zeng:
Policy Informatics for Smart Policy-Making. IEEE Intell. Syst. 30(6): 2-3 (2015) - [j87]Yanwu Yang, Daniel Zeng, Yinghui Yang, Jie Zhang:
Optimal Budget Allocation Across Search Advertising Markets. INFORMS J. Comput. 27(2): 285-300 (2015) - [j86]Hui Yang, O. Erhun Kundakcioglu, Daniel Zeng:
Healthcare data analytics. Inf. Syst. E Bus. Manag. 13(4): 595-597 (2015) - [j85]Xiaolong Zheng, Daniel Dajun Zeng, Fei-Yue Wang:
Social balance in signed networks. Inf. Syst. Frontiers 17(5): 1077-1095 (2015) - [j84]Ahmed Abbasi, Fatemeh "Mariam" Zahedi, Daniel Zeng, Yan Chen, Hsinchun Chen, Jay F. Nunamaker Jr.:
Enhancing Predictive Analytics for Anti-Phishing by Exploiting Website Genre Information. J. Manag. Inf. Syst. 31(4): 109-157 (2015) - [j83]Yong Yuan, Daniel Dajun Zeng, Huimin Zhao, Linjing Li:
Analyzing Positioning Strategies in Sponsored Search Auctions Under CTR-Based Quality Scoring. IEEE Trans. Syst. Man Cybern. Syst. 45(4): 688-701 (2015) - [c105]Peng Su, Lei Wang, Daniel Zeng, Yuan Liu:
An observation-weighting method for mining actionable behavioral rules. ICACI 2015: 120-125 - [c104]