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ORCIDDaniel Dajun Zeng
Daniel Zeng 0001
Person information
- affiliation: Chinese Academy of Sciences, Institute of Automation, Beijing, China
- affiliation (former): University of Arizona, Tucson, AZ, USA
- affiliation (PhD 1998): Carnegie Mellon University, Pittsburgh, PA, USA
Other persons with the same name
- Daniel Zeng 0002 — Peking University, Beijing, China
- Daniel Zeng 0003 — Stanford University, Department of Computer Science, CA, USA
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2020 – today
- 2023
[j174]Xingwei Zhang
, Hu Tian, Xiaolong Zheng, Daniel Dajun Zeng:
Robust Monitor for Industrial IoT Condition Prediction. IEEE Internet Things J. 10(10): 8618-8629 (2023)- [j173]Xinglin Xiao, Wenji Mao, Ying Sun, Daniel Zeng:
A cognitive emotion model enhanced sequential method for social emotion cause identification. Inf. Process. Manag. 60(3): 103305 (2023) - [j172]Yunji Liang, Lei Liu, Yapeng Ji, Luwen Huangfu, Daniel Dajun Zeng:
Identifying emotional causes of mental disorders from social media for effective intervention. Inf. Process. Manag. 60(4): 103407 (2023) - [j171]Yao Yao, Hanchu Zhou, Zhidong Cao, Daniel Dajun Zeng, Qingpeng Zhang:
Optimal adaptive nonpharmaceutical interventions to mitigate the outbreak of respiratory infections following the COVID-19 pandemic: a deep reinforcement learning study in Hong Kong, China. J. Am. Medical Informatics Assoc. 30(9): 1543-1551 (2023) - [j170]Lin Liu, Zhidong Cao, Pengfei Zhao, Paul Jen-Hwa Hu, Daniel Dajun Zeng, Yin Luo:
A Deep Learning Approach for Semantic Analysis of COVID-19-Related Stigma on Social Media. IEEE Trans. Comput. Soc. Syst. 10(1): 246-254 (2023) - [c193]Chengzhi Jiang, Linjing Li, Daniel Dajun Zeng, Xiaoxuan Wang:
A Character-level Short Text Classification Model Based On Spiking Neural Networks. IJCNN 2023: 1-8 - [c192]Jiahui Shi, Linjing Li, Daniel Dajun Zeng:
Towards Better Word Importance Ranking in Textual Adversarial Attacks. IJCNN 2023: 1-8 - [c191]Minjie Yuan, Qiudan Li, Xue Mao, Daniel Dajun Zeng:
Identifying Topic and Cause for Sarcasm: An Unsupervised Knowledge-enhanced Prompt Method. WWW (Companion Volume) 2023: 184-187 - [i14]Haorui Li, Jiaqi Liang, Linjing Li, Daniel Dajun Zeng:
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning. CoRR abs/2308.00989 (2023) - 2022
- [j169]Yanwu Yang, Kang Zhao, Daniel Dajun Zeng, Bernard Jim Jansen:
Time-varying effects of search engine advertising on sales-An empirical investigation in E-commerce. Decis. Support Syst. 163: 113843 (2022) - [j168]Zikang Wang, Linjing Li, Daniel Dajun Zeng:
Hierarchical Multihop Reasoning on Knowledge Graphs. IEEE Intell. Syst. 37(1): 71-78 (2022) - [j167]Qiudan Li, Hejing Liu, Riheng Yao, David Jingjun Xu, Daniel Dajun Zeng:
Entity Matters in News: An Association Network-Enhanced Method for News Reprint Prediction. IEEE Intell. Syst. 37(1): 99-107 (2022) - [j166]Zhixiong Zeng, Nan Xu, Wenji Mao, Daniel Zeng:
An Orthogonal Subspace Decomposition Method for Cross-Modal Retrieval. IEEE Intell. Syst. 37(3): 45-53 (2022) - [j165]Jiahui Shi, Linjing Li, Daniel Zeng:
ASCL: Adversarial supervised contrastive learning for defense against word substitution attacks. Neurocomputing 510: 59-68 (2022) - [j164]Zhu Zhang, Xuan Wei, Xiaolong Zheng, Qiudan Li, Daniel Dajun Zeng:
Detecting Product Adoption Intentions via Multiview Deep Learning. INFORMS J. Comput. 34(1): 541-556 (2022) - [j163]Hu Tian, Xiaolong Zheng, Kang Zhao, Maggie Wenjing Liu, Daniel Dajun Zeng:
Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions. INFORMS J. Comput. 34(4): 1940-1957 (2022) - [j162]Shuai Wang, Wenji Mao, Penghui Wei, Daniel Dajun Zeng:
Knowledge structure driven prototype learning and verification for fact checking. Knowl. Based Syst. 238: 107910 (2022) - [j161]Jiaheng Xie, Xiao Liu, Daniel Dajun Zeng, Xiao Fang:
Understanding Medication Nonadherence from Social Media: A Sentiment-Enriched Deep Learning Approach. MIS Q. 46(1): 341-372 (2022) - [j160]Xuan Wei, Zhu Zhang, Mingyue Zhang, Weiyun Chen, Daniel Dajun Zeng:
Combining Crowd and Machine Intelligence to Detect False News on Social Media. MIS Q. 46(2): 977-1008 (2022) - [j159]Jiandong Zhou, Sharen Lee, Xiansong Wang, Yi Li, William Ka Kei Wu, Tong Liu, Zhidong Cao, Daniel Dajun Zeng, Keith Sai Kit Leung, Abraham Ka Chung Wai, Ian Chi Kei Wong, Bernard Man Yung Cheung, Qingpeng Zhang, Gary Tse:
Author Correction: Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong. npj Digit. Medicine 5 (2022) - [j158]Tianyi Luo, Zhidong Cao, Daniel Zeng, Qingpeng Zhang:
A Dissemination Model Based on Psychological Theories in Complex Social Networks. IEEE Trans. Cogn. Dev. Syst. 14(2): 519-531 (2022) - [j157]Tianyi Luo, Zhidong Cao, Yuejiao Wang, Daniel Zeng, Qingpeng Zhang:
Role of Asymptomatic COVID-19 Cases in Viral Transmission: Findings From a Hierarchical Community Contact Network Model. IEEE Trans Autom. Sci. Eng. 19(2): 576-585 (2022) - [j156]Xiaolong Zheng, Hu Tian, Zhe Wan, Xiao Wang, Daniel Dajun Zeng, Fei-Yue Wang:
Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode. IEEE Trans. Comput. Soc. Syst. 9(1): 45-58 (2022) - [j155]Yunji Liang, Qiushi Wang, Kang Xiong, Xiaolong Zheng, Zhiwen Yu, Daniel Zeng:
Robust Detection of Malicious URLs With Self-Paced Wide & Deep Learning. IEEE Trans. Dependable Secur. Comput. 19(2): 717-730 (2022) - [j154]Pengfei Zhao, Zhidong Cao, Daniel Dajun Zeng, Chenghong Gu, Zhaoyu Wang, Yue Xiang, Meysam Qadrdan, Xinlei Chen, Xiaohe Yan, Shuangqi Li:
Cyber-Resilient Multi-Energy Management for Complex Systems. IEEE Trans. Ind. Informatics 18(3): 2144-2159 (2022) - [j153]Faizan Ahmad, Ahmed Abbasi, Brent Kitchens, Donald A. Adjeroh, Daniel Zeng:
Deep Learning for Adverse Event Detection From Web Search. IEEE Trans. Knowl. Data Eng. 34(6): 2681-2695 (2022) - [j152]Jiaheng Xie, Bin Zhang, Jian Ma, Daniel Zeng, Jenny Lo-Ciganic:
Readmission Prediction for Patients with Heterogeneous Medical History: A Trajectory-Based Deep Learning Approach. ACM Trans. Manag. Inf. Syst. 13(2): 14:1-14:27 (2022) - [c190]Jiazhi Xu, Sheng Huang, Fengtao Zhou, Luwen Huangfu, Daniel Zeng, Bo Liu:
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation. IJCAI 2022: 1495-1501 - [c189]Rongrong Jing, Hu Tian, Xingwei Zhang, Gang Zhou, Xiaolong Zheng, Daniel Zeng:
Self-Training Based Semi-Supervised and Semi-Paired Hashing Cross-Modal Retrieval. IJCNN 2022: 1-8 - [c188]Haoda Qian, Zaichuan Tang, Yajun Ren, Qiudan Li, Daniel Zeng:
A Transformer-based Approach for Identifying Target-oriented Opinions from Travel Reviews. IJCNN 2022: 1-7 - [c187]Haoda Qian, Minjie Yuan, Qiudan Li, Daniel Zeng:
A BERT-based Heterogeneous Graph Convolution Approach for Mining Organization-Related Topics. IJCNN 2022: 1-8 - [d1]Yin Luo, Fangfang Wang, Jun Chen, Lei Wang, Daniel Dajun Zeng:
Dataset for "Integrating Deep Learning Approaches for Identifying News Reprint Relation". IEEE DataPort, 2022
- [i13]Yanwu Yang, Bernard J. Jansen, Yinghui Yang, Xunhua Guo, Daniel Zeng:
Keyword Optimization in Sponsored Search Advertising: A Multi-Level Computational Framework. CoRR abs/2202.13506 (2022) - [i12]Yanwu Yang, Baozhu Feng, Daniel Zeng:
Learning Parameters for a Generalized Vidale-Wolfe Response Model with Flexible Ad Elasticity and Word-of-Mouth. CoRR abs/2202.13566 (2022) - [i11]Yanwu Yang, Xin Li, Bernard J. Jansen, Daniel Zeng:
Aggregate effects of advertising decisions: a complex systems look at search engine advertising via an experimental study. CoRR abs/2203.02200 (2022) - [i10]Jiazhi Xu, Sheng Huang, Fengtao Zhou, Luwen Huangfu, Daniel Zeng, Bo Liu:
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation. CoRR abs/2205.10986 (2022) - [i9]Zizhen Deng, Xiaolong Zheng, Hu Tian, Daniel Dajun Zeng:
Deep Causal Learning: Representation, Discovery and Inference. CoRR abs/2211.03374 (2022) - 2021
- [j151]Hu Tian, Xiaolong Zheng, Xingwei Zhang, Daniel Dajun Zeng:
∊-k anonymization and adversarial training of graph neural networks for privacy preservation in social networks. Electron. Commer. Res. Appl. 50: 101105 (2021) - [j150]Wingyan Chung, Elizabeth Mustaine, Daniel Zeng:
A computational framework for social-media-based business analytics and knowledge creation: empirical studies of CyTraSS. Enterp. Inf. Syst. 15(10): 1460-1482 (2021) - [j149]Yanwu Yang, Baozhu Feng, Daniel Zeng:
Learning Parameters for a Generalized Vidale-Wolfe Response Model With Flexible Ad Elasticity and Word-of-Mouth. IEEE Intell. Syst. 36(5): 69-79 (2021) - [j148]Nan Xu, Wenji Mao, Penghui Wei, Daniel Zeng:
MDA: Multimodal Data Augmentation Framework for Boosting Performance on Sentiment/Emotion Classification Tasks. IEEE Intell. Syst. 36(6): 3-12 (2021) - [j147]Wanting Wen, Daniel Dajun Zeng, Jie Bai, Kang Zhao, Ziqiang Li:
Learning Embeddings Based on Global Structural Similarity in Heterogeneous Networks. IEEE Intell. Syst. 36(6): 13-22 (2021) - [j146]Zhu Zhang, Xuan Wei, Xiaolong Zheng, Daniel Dajun Zeng:
Predicting product adoption intentions: An integrated behavioral model-inspired multiview learning approach. Inf. Manag. 58(7): 103484 (2021) - [j145]Peng Yan, Linjing Li, Miaotianzi Jin, Daniel Zeng:
Quantum probability-inspired graph neural network for document representation and classification. Neurocomputing 445: 276-286 (2021) - [j144]Zikang Wang, Linjing Li, Daniel Zeng:
SRGCN: Graph-based multi-hop reasoning on knowledge graphs. Neurocomputing 454: 280-290 (2021) - [j143]Daniel Zeng, Yong Liu, Ping Yan, Yanwu Yang:
Location-Aware Real-Time Recommender Systems for Brick-and-Mortar Retailers. INFORMS J. Comput. 33(4): 1608-1623 (2021) - [j142]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) - [j141]Jiaheng Xie, Zhu Zhang, Xiao Liu, Daniel Zeng:
Unveiling the Hidden Truth of Drug Addiction: A Social Media Approach Using Similarity Network-Based Deep Learning. J. Manag. Inf. Syst. 38(1): 166-195 (2021) - [j140]Zikang Wang, Linjing Li, Daniel Zeng, Xiaofei Wu:
Incorporating prior knowledge from counterfactuals into knowledge graph reasoning. Knowl. Based Syst. 223: 107035 (2021) - [j139]Peng Yan, Linjing Li, Daniel Zeng:
Quantum Probability-inspired Graph Attention Network for Modeling Complex Text Interaction. Knowl. Based Syst. 234: 107557 (2021) - [j138]Jiandong Zhou, Sharen Lee, Xiansong Wang, Yi Li, William Ka Kei Wu, Tong Liu, Zhidong Cao, Daniel Dajun Zeng, Keith Sai Kit Leung, Abraham Ka Chung Wai, Ian Chi Kei Wong, Bernard Man Yung Cheung, Qingpeng Zhang, Gary Tse:
Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong. npj Digit. Medicine 4 (2021) - [j137]Jiaheng Xie, Bin Zhang, Susan A. Brown, Daniel Zeng:
Write Like a Pro or an Amateur? Effect of Medical Language Formality. ACM Trans. Manag. Inf. Syst. 12(3): 24:1-24:25 (2021) - [c186]Zikang Wang, Linjing Li, Daniel Dajun Zeng:
Time-Aware Representation Learning of Knowledge Graphs. IJCNN 2021: 1-8 - [c185]Zizhen Deng, Xiaolong Zheng, Zifan Ye, Zhen Cai, Daniel Dajun Zeng:
Credible Influence Analysis in Mass Media Using Causal Inference. ISI 2021: 1-5 - [c184]Tianyi Luo, Zhidong Cao, Pengfei Zhao, Daniel Dajun Zeng, Qingpeng Zhang:
Evaluating the Impact of Vaccination on COVID-19 Pandemic Used a Hierarchical Weighted Contact Network Model. ISI 2021: 1-6 - [c183]Yunrong Yang, Zhidong Cao, Pengfei Zhao, Daniel Dajun Zeng, Qingpeng Zhang, Yin Luo:
Extracting Impacts of Non-pharmacological Interventions for COVID-19 From Modelling Study. ISI 2021: 1-6 - 2020
- [j136]Mingyue Zhang, Xuan Wei, Daniel Dajun Zeng:
A matter of reevaluation: Incentivizing users to contribute reviews in online platforms. Decis. Support Syst. 128 (2020) - [j135]Wingyan Chung, Daniel Zeng:
Dissecting emotion and user influence in social media communities: An interaction modeling approach. Inf. Manag. 57(1) (2020) - [j134]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) - [j133]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) - [c182]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 - [c181]Zikang Wang, Linjing Li, Daniel Zeng:
Knowledge-Enhanced Natural Language Inference Based on Knowledge Graphs. COLING 2020: 6498-6508 - [c180]Zikang Wang, Linjing Li, Daniel Dajun Zeng:
A Re-Ranking Framework for Knowledge Graph Completion. IJCNN 2020: 1-8 - [c179]Rongrong Jing, Hu Tian, Yidi Li, Xingwei Zhang, Xiaolong Zheng, Zhu Zhang, Daniel Zeng:
Improving the Data Quality for Credit Card Fraud Detection. ISI 2020: 1-6 - [c178]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
- [j132]Peng Su, Daniel Zeng, Huimin Zhao:
Behavior Action Mining. IEEE Access 7: 19954-19964 (2019) - [j131]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) - [j130]Han Nie, Yanwu Yang, Daniel Zeng:
Keyword Generation for Sponsored Search Advertising: Balancing Coverage and Relevance. IEEE Intell. Syst. 34(5): 14-24 (2019) - [j129]Saike He, Xiaolong Zheng, Daniel Dajun Zeng:
Modeling online user behaviors with competitive interactions. Inf. Manag. 56(4): 463-475 (2019) - [j128]Yunji Liang, Xiaolong Zheng, Daniel Dajun Zeng:
A survey on big data-driven digital phenotyping of mental health. Inf. Fusion 52: 290-307 (2019) - [j127]Jie Bai, Linjing Li, Daniel Zeng:
HiWalk: Learning node embeddings from heterogeneous networks. Inf. Syst. 81: 82-91 (2019) - [j126]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) - [c177]Rongrong Jing, Xiaolong Zheng, Hu Tian, Xingwei Zhang, Weiyun Chen, Desheng Dash Wu, Daniel Dajun Zeng:
A Graph-Based Semi-Supervised Fraud Detection Framework. CYBCONF 2019: 1-5 - [c176]Tongxuan Wang, Xiaolong Zheng, Saike He, Zhu Zhang, Desheng Dash Wu, Daniel Dajun Zeng:
Integrating knowledge graph into deep neural network-based recommender system. CYBCONF 2019: 1-5 - [c175]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 - [c174]Jiaheng Xie, Zhu Zhang, Xiao Liu, Daniel Zeng:
Understanding Opioid Addiction with Similarity Network-Based Deep Learning. ICSH 2019: 134-141 - [c173]Jiaheng Xie, Xiao Liu, Daniel Zeng, Xiao Fang:
Extracting Medication Nonadherence Reasons with Sentiment-Enriched Deep Learning. ICSH 2019: 294-301 - [c172]Chiyu Cai, Linjing Li, Daniel Zeng, Hongyuan Ma:
Exploring Writing Pattern with Pop Culture Ingredients for Social User Modeling. IJCNN 2019: 1-8 - [c171]Zikang Wang, Linjing Li, Qiudan Li, Daniel Zeng:
Multimodal Data Enhanced Representation Learning for Knowledge Graphs. IJCNN 2019: 1-8 - [c170]Peng Yan, Linjing Li, Daniel Zeng:
A Shortcut-Stacked Document Encoder for Extractive Text Summarization. IJCNN 2019: 1-8 - [c169]Riheng Yao, Qiudan Li, Lei Wang, Daniel Dajun Zeng:
A Novel Neural Approach for News Reprint Prediction. IJCNN 2019: 1-8 - [c168]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 - [c167]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 - [c166]Ruoran Liu, Qiudan Li, Daniel Dajun Zeng:
Inferring Users' Usage Patterns for Drug Abuse Surveillance. ISI 2019: 134-136 - [c165]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 - [c164]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 - [c163]Jie Bai, Qingchao Kong, Linjing Li, Lei Wang, Daniel Zeng:
Exploring Cognitive Dissonance on Social Media. ISI 2019: 143-145 - [c162]Chiyu Cai, Linjing Li, Weiyun Chen, Daniel Zeng:
Capturing Deep Dynamic Information for Mapping Users across Social Networks. ISI 2019: 146-148 - [c161]Jiaqi Liang, Linjing Li, Weiyun Chen, Daniel Zeng:
Targeted Addresses Identification for Bitcoin with Network Representation Learning. ISI 2019: 158-160 - [c160]Jiaqi Lang, Linjing Li, Weiyun Chen, Daniel Zeng:
Privacy Protection in Transformer-based Neural Network. ISI 2019: 182-184 - [c159]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 - [c158]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 - [c157]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 - [c156]Peng Yan, Linjing Li, Weiyun Chen, Daniel Zeng:
Quantum-Inspired Density Matrix Encoder for Sexual Harassment Personal Stories Classification. ISI 2019: 218-220 - [c155]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 - [c154]Qianyu Wang, Saike He, Xiaolong Zheng, Daniel Zeng:
Marketing Pattern Risks Detection Based on Semi-Supervised Learning. ISI 2019: 229 - [c153]Xuan Wei, Mingyue Zhang, Daniel Dajun Zeng:
The Effectiveness of Non-Persistent Social Status as an Incentive Mechanism. PACIS 2019: 31 - [c152]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
- [j125]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) - [j124]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) - [j123]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) - [j122]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) - [j121]Daniel Zeng:
Thank You for Two Productive and Fun Years [Presidents' Message]. IEEE Intell. Transp. Syst. Mag. 10(1): 3-4 (2018) - [j120]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) - [j119]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) - [c151]Ruoran Liu, Qiudan Li, Can Wang, Lei Wang, Daniel Dajun Zeng:
A Novel Embedding Method for News Diffusion Prediction. AAAI 2018: 8111-8112