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2020 – today
- 2024
- [j48]Amran Bhuiyan, Jimmy Xiangji Huang, Aijun An:
IGMG: Instance-guided multi-granularity for domain generalizable person re-identification. Comput. Vis. Image Underst. 240: 103905 (2024) - [j47]Wei Yuan, Zongyang Ma, Aijun An, Jimmy Xiangji Huang:
Topic-aware response selection for dialog systems. Nat. Lang. Process. J. 8: 100087 (2024) - [j46]Nastaran Babanejad, Heidar Davoudi, Ameeta Agrawal, Aijun An, Manos Papagelis:
The Role of Preprocessing for Word Representation Learning in Affective Tasks. IEEE Trans. Affect. Comput. 15(1): 254-272 (2024) - [j45]Shima Khoshraftar, Aijun An:
A Survey on Graph Representation Learning Methods. ACM Trans. Intell. Syst. Technol. 15(1): 19:1-19:55 (2024) - [c124]Zhongxin Hu, Kaiyu Li, Xingjian Mao, Jingfeng Pan, Yunfei Peng, Aijun An, Xiaohui Yu, Dariusz Jania:
DAMOCRO: A Data Migration Framework Using Online Classification and Reordering. CIKM 2024: 4546-4553 - [c123]James Fletcher, Nicholas Dehnen, Seyed Nima Tayarani Bathaie, Aijun An, Heidar Davoudi, Ron DiCarlantonio, Gary Farmaner:
Generating Vehicular Icon Descriptions and Indications Using Large Vision-Language Models. EMNLP (Industry Track) 2024: 1107-1120 - [i15]Ghazaleh Babanejad Dehaki, Aijun An, Manos Papagelis:
Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources. CoRR abs/2410.17290 (2024) - 2023
- [j44]Amin Omidvar, Aijun An:
Learning to Generate Popular Headlines. IEEE Access 11: 60904-60914 (2023) - [c122]Amin Omidvar, Aijun An:
Empowering Conversational Agents using Semantic In-Context Learning. BEA@ACL 2023: 766-771 - [c121]Ghazaleh Babanejad Dehaki, Aijun An, Heidar Davoudi:
A Hybrid Outbreak Detection using Ontology-based Data Collection from Social Media. BIBM 2023: 1022-1029 - [c120]Winston Chan, Aijun An, Heidar Davoudi:
A Case Study on ChatGPT Question Generation. IEEE Big Data 2023: 1647-1656 - [c119]Jingfeng Pan, Yunfei Peng, Kaiyu Li, Aijun An, Xiaohui Yu, Dariusz Jania:
Optimizing Data Migration Using Online Clustering. CASCON 2023: 173-178 - [c118]Hajer Ayadi, Jimmy X. Huang, Aijun An, Yiming Shao, Hao Zhou, Hossein Pourmodheji:
TAMG: Topology-Aware Multi-GPU Allocation via Deep Reinforcement Learning. CASCON 2023: 185-190 - [c117]Alireza Naeiji, Aijun An, Heidar Davoudi, Marjan Delpisheh, Muath Alzghool:
Question Generation Using Sequence-to-Sequence Model with Semantic Role Labels. EACL 2023: 2822-2834 - [c116]Wei Yuan, Martin Dimkovski, Aijun An:
Contrastive Fine-tuning on Few Shot Intent Detection with Topological Intent Tree. WWW (Companion Volume) 2023: 464-468 - 2022
- [c115]Shima Khoshraftar, Aijun An, Nastaran Babanejad:
Temporal Graph Representation Learning via Maximal Cliques. IEEE Big Data 2022: 606-615 - [i14]Reza Soltani, Uyen Trang Nguyen, Aijun An:
Data Capsule: A Self-Contained Data Model as an Access Policy Enforcement Strategy. CoRR abs/2202.07844 (2022) - [i13]Shima Khoshraftar, Aijun An:
A Survey on Graph Representation Learning Methods. CoRR abs/2204.01855 (2022) - 2021
- [j43]Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu:
ZipLine: an optimized algorithm for the elastic bulk synchronous parallel model. Mach. Learn. 110(10): 2867-2903 (2021) - [j42]Reza Soltani, Uyen Trang Nguyen, Aijun An:
A Survey of Self-Sovereign Identity Ecosystem. Secur. Commun. Networks 2021: 8873429:1-8873429:26 (2021) - [j41]Md. Tahmid Rahman Laskar, Jimmy Xiangji 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. ACM Trans. Cyber Phys. Syst. 5(4): 41:1-41:26 (2021) - [j40]Heidar Davoudi, Zana Rashidi, Aijun An, Morteza Zihayat, Gordon Edall:
Paywall Policy Learning in Digital News Media. IEEE Trans. Knowl. Data Eng. 33(10): 3394-3409 (2021) - [c114]Reza Soltani, Uyen Trang Nguyen, Aijun An:
Data Capsule: A Self-Contained Data Model as an Access Policy Enforcement Strategy. BRAINS 2021: 93-96 - [c113]Xingye Fan, Zana Rashidi, Bon Ryu, Hossein Pourmodheji, Aijun An, Junfeng Liu, Yonggang Hu:
GPU resource scheduling using CNN-based deep reinforcement learning. CASCON 2021: 196-201 - [c112]Shima Khoshraftar, Sedigheh Mahdavi, Aijun An:
Centrality-based Interpretability Measures for Graph Embeddings. DSAA 2021: 1-10 - [c111]Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu:
ZipLine: An Optimized Algorithm for the Elastic Bulk Synchronous Parallel Model. DSAA 2021: 1-2 - [i12]Md. Tahmid Rahman Laskar, Jimmy X. 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) - [i11]Reza Soltani, Uyen Trang Nguyen, Aijun An:
A Survey of Self-Sovereign Identity Ecosystem. CoRR abs/2111.02003 (2021) - 2020
- [j39]Tino Kreutzer, Patrick Vinck, Phuong N. Pham, Aijun An, Lora Appel, Eric DeLuca, Grace Tang, Muath Alzghool, Kusum Hachhethu, Bobi Morris, Sandie L. Walton-Ellery, John Crowley, James Orbinski:
Improving humanitarian needs assessments through natural language processing. IBM J. Res. Dev. 64(1/2): 9:1-9:14 (2020) - [c110]Nastaran Babanejad, Ameeta Agrawal, Aijun An, Manos Papagelis:
A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks. ACL 2020: 5799-5810 - [c109]Sedigheh Mahdavi, Aijun An, Heidar Davoudi, Marjan Delpisheh, Emad Gohari:
Question-Worthy Sentence Selection for Question Generation. Canadian AI 2020: 388-400 - [c108]Mufleh Al-Shatnawi, Amir Asif, Vida Movahedi, Aijun An, Yonggang Hu, Junfeng Liu:
Multiple pedestrian tracking based on modified mask R-CNN and enhanced particle filter using an adaptive information driven motion model. CASCON 2020: 4-12 - [c107]Bon Ryu, Aijun An, Zana Rashidi, Junfeng Liu, Yonggang Hu:
Towards topology aware pre-emptive job scheduling with deep reinforcement learning. CASCON 2020: 83-92 - [c106]Nastaran Babanejad, Heidar Davoudi, Aijun An, Manos Papagelis:
Affective and Contextual Embedding for Sarcasm Detection. COLING 2020: 225-243 - [c105]Amin Omidvar, Hossein Pourmodheji, Aijun An, Gordon Edall:
Learning to Determine the Quality of News Headlines. ICAART (1) 2020: 401-409 - [c104]Reza Soltani, Uyen Trang Nguyen, Aijun An:
Decentralized and Privacy-Preserving Key Management Model. ISNCC 2020: 1-7 - [c103]Zana Rashidi, Kasra Ahmadi K. A., Aijun An, Xiaogang Wang:
Adaptive Momentum Coefficient for Neural Network Optimization. ECML/PKDD (2) 2020: 35-51 - [c102]Ameeta Agrawal, Aijun An, Manos Papagelis:
Leveraging Transitions of Emotions for Sarcasm Detection. SIGIR 2020: 1505-1508 - [i10]Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu:
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning. CoRR abs/2001.01347 (2020)
2010 – 2019
- 2019
- [j38]Morteza Zihayat, Anteneh Ayanso, Xing Zhao, Heidar Davoudi, Aijun An:
A utility-based news recommendation system. Decis. Support Syst. 117: 14-27 (2019) - [c101]Reza Soltani, Uyen Trang Nguyen, Aijun An:
Practical Key Recovery Model for Self-Sovereign Identity Based Digital Wallets. DASC/PiCom/DataCom/CyberSciTech 2019: 320-325 - [c100]Shima Khoshraftar, Sedigheh Mahdavi, Aijun An, Yonggang Hu, Junfeng Liu:
Dynamic Graph Embedding via LSTM History Tracking. DSAA 2019: 119-127 - [c99]Xing Zhao, Aijun An, Junfeng Liu, Bao Xin Chen:
Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning. ICDCS 2019: 1507-1517 - [c98]Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu:
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning. ICDM 2019: 1504-1509 - [c97]Heidar Davoudi, Aijun An, Gordon Edall:
Content-based Dwell Time Engagement Prediction Model for News Articles. NAACL-HLT (2) 2019: 226-233 - [c96]Sedigheh Mahdavi, Shima Khoshraftar, Aijun An:
Dynamic Joint Variational Graph Autoencoders. PKDD/ECML Workshops (1) 2019: 385-401 - [c95]Nastaran Babanejad, Ameeta Agrawal, Heidar Davoudi, Aijun An, Manos Papagelis:
Leveraging Emotion Features in News Recommendations. INRA@RecSys 2019: 70-78 - [i9]Xing Zhao, Aijun An, Junfeng Liu, Bao Xin Chen:
Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning. CoRR abs/1908.11848 (2019) - [i8]Sedigheh Mahdavi, Shima Khoshraftar, Aijun An:
Dynamic Joint Variational Graph Autoencoders. CoRR abs/1910.01963 (2019) - [i7]Shima Khoshraftar, Sedigheh Mahdavi, Aijun An, Yonggang Hu, Junfeng Liu:
Dynamic Graph Embedding via LSTM History Tracking. CoRR abs/1911.01551 (2019) - [i6]Amin Omidvar, Hossein Pourmodheji, Aijun An, Gordon Edall:
Learning to Determine the Quality of News Headlines. CoRR abs/1911.11139 (2019) - 2018
- [j37]Jennifer McArthur, Nima Shahbazi, Ricky Fok, Christopher Raghubar, Brandon Bortoluzzi, Aijun An:
Machine learning and BIM visualization for maintenance issue classification and enhanced data collection. Adv. Eng. Informatics 38: 101-112 (2018) - [c94]Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta:
Effective Team Formation in Expert Networks. AMW 2018 - [c93]Sedigheh Mahdavi, Shima Khoshraftar, Aijun An:
dynnode2vec: Scalable Dynamic Network Embedding. IEEE BigData 2018: 3762-3765 - [c92]Ameeta Agrawal, Aijun An, Manos Papagelis:
Learning Emotion-enriched Word Representations. COLING 2018: 950-961 - [c91]Ricky Fok, Aijun An, Zana Rashidi, Xiaogang Wang:
Decoupling the Layers in Residual Networks. ICLR (Poster) 2018 - [c90]Reza Soltani, Uyen Trang Nguyen, Aijun An:
A New Approach to Client Onboarding Using Self-Sovereign Identity and Distributed Ledger. iThings/GreenCom/CPSCom/SmartData 2018: 1129-1136 - [c89]Heidar Davoudi, Aijun An, Morteza Zihayat, Gordon Edall:
Adaptive Paywall Mechanism for Digital News Media. KDD 2018: 205-214 - [c88]Mufleh Al-Shatnawi, Vida Movahedi, Amir Asif, Aijun An:
Improving Real-Time Pedestrian Detection Using Adaptive Confidence Thresholding and Inter-Frame Correlation. MMSP 2018: 1-5 - [c87]Ameeta Agrawal, Aijun An:
Affective Representations for Sarcasm Detection. SIGIR 2018: 1029-1032 - [c86]Amin Omidvar, Hui Jiang, Aijun An:
Using Neural Network for Identifying Clickbaits in Online News Media. SIMBig 2018: 220-232 - [i5]Amin Omidvar, Hui Jiang, Aijun An:
Using Neural Network for Identifying Clickbaits in Online News Media. CoRR abs/1806.07713 (2018) - [i4]Sedigheh Mahdavi, Shima Khoshraftar, Aijun An:
dynnode2vec: Scalable Dynamic Network Embedding. CoRR abs/1812.02356 (2018) - 2017
- [j36]Morteza Zihayat, Heidar Davoudi, Aijun An:
Mining significant high utility gene regulation sequential patterns. BMC Syst. Biol. 11(6): 109:1-109:14 (2017) - [j35]Ricky Fok, Aijun An, Xiaogang Wang:
Mining Evolving Data Streams with Particle Filters. Comput. Intell. 33(2): 147-180 (2017) - [j34]Morteza Zihayat, Cheng-Wei Wu, Aijun An, Vincent S. Tseng, Chien Lin:
Efficiently mining high utility sequential patterns in static and streaming data. Intell. Data Anal. 21(S1): S103-S135 (2017) - [j33]Ricky Fok, Aijun An, Xiaogang Wang:
Geodesic and contour optimization using conformal mapping. J. Glob. Optim. 69(1): 23-44 (2017) - [j32]Morteza Zihayat, Yan Chen, Aijun An:
Memory-adaptive high utility sequential pattern mining over data streams. Mach. Learn. 106(6): 799-836 (2017) - [c85]Margot Lisa-Jing Yann, Yves Lespérance, Aijun An:
Rewards Structure in Games: Learning a Compact Representation for Action Space. AAAI Workshops 2017 - [c84]Mehdi Kargar, Aijun An, Parke Godfrey, Jaroslaw Szlichta, Xiaohui Yu:
Meaningful Keyword Search over Databases with Complex Schema. AMW 2017 - [c83]Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta:
Authority-based Team Discovery in Social Networks. EDBT 2017: 498-501 - [c82]Yan Chen, Margot Lisa-Jing Yann, Heidar Davoudi, Joy Choi, Aijun An, Zhen Mei:
Contrast Pattern Based Collaborative Behavior Recommendation for Life Improvement. PAKDD (2) 2017: 106-118 - [c81]Heidar Davoudi, Morteza Zihayat, Aijun An:
Time-Aware Subscription Prediction Model for User Acquisition in Digital News Media. SDM 2017: 135-143 - [i3]Ricky Fok, Aijun An, Xiaogang Wang:
Optimization assisted MCMC. CoRR abs/1709.02888 (2017) - [i2]Ricky Fok, Aijun An, Xiaogang Wang:
Spontaneous Symmetry Breaking in Neural Networks. CoRR abs/1710.06096 (2017) - 2016
- [j31]Yan Chen, Aijun An:
Approximate Parallel High Utility Itemset Mining. Big Data Res. 6: 26-42 (2016) - [c80]Morteza Zihayat, Heidar Davoudi, Aijun An:
Top-k utility-based gene regulation sequential pattern discovery. BIBM 2016: 266-273 - [c79]Morteza Zihayat, Zane Zhenhua Hu, Aijun An, Yonggang Hu:
Distributed and parallel high utility sequential pattern mining. IEEE BigData 2016: 853-862 - [c78]Adetokunbo Makanju, Zahra Farzanyar, Aijun An, Nick Cercone, Zane Zhenhua Hu, Yonggang Hu:
Deep parallelization of parallel FP-growth using parent-child MapReduce. IEEE BigData 2016: 1422-1431 - [c77]Martin Dimkovski, Aijun An:
Computational Role of Astrocytes in Bayesian Inference and Probability Distribution Encoding. BIH 2016: 24-33 - [c76]Ameeta Agrawal, Aijun An:
Selective Co-occurrences for Word-Emotion Association. COLING 2016: 1579-1590 - [c75]Nima Shahbazi, Rohollah Soltani, Jarek Gryz, Aijun An:
Building FP-Tree on the Fly: Single-Pass Frequent Itemset Mining. MLDM 2016: 387-400 - [c74]Xing Tan, Jimmy Xiangji Huang, Aijun An:
Ranking Documents Through Stochastic Sampling on Bayesian Network-based Models: A Pilot Study. SIGIR 2016: 961-964 - [c73]Reza Soltani, Uyen Trang Nguyen, Yang Yang, Mohammad Reza Faghani, Alaa Yagoub, Aijun An:
A new algorithm for money laundering detection based on structural similarity. UEMCON 2016: 1-7 - [c72]Ameeta Agrawal, Raghavender Sahdev, Heidar Davoudi, Forouq Khonsari, Aijun An, Susan McGrath:
Detecting the Magnitude of Events from News Articles. WI 2016: 177-184 - [i1]Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta:
Authority-based Team Discovery in Social Networks. CoRR abs/1611.02992 (2016) - 2015
- [j30]Martin Dimkovski, Aijun An:
A Bayesian model for canonical circuits in the neocortex for parallelized and incremental learning of symbol representations. Neurocomputing 149: 1270-1279 (2015) - [j29]Mehdi Kargar, Aijun An:
Finding top-k, r-cliques for keyword search from graphs in polynomial delay. Knowl. Inf. Syst. 43(2): 249-280 (2015) - [c71]Morteza Zihayat, Cheng-Wei Wu, Aijun An, Vincent S. Tseng:
Mining High Utility Sequential Patterns from Evolving Data Streams. ASE BD&SI 2015: 52:1-52:6 - [c70]Mehdi Kargar, Aijun An, Nick Cercone, Parke Godfrey, Jaroslaw Szlichta, Xiaohui Yu:
Meaningful keyword search in relational databases with large and complex schema. ICDE 2015: 411-422 - [c69]Heidar Davoudi, Aijun An:
Ontology-Based Topic Labeling and Quality Prediction. ISMIS 2015: 171-179 - 2014
- [j28]Morteza Zihayat, Aijun An:
Mining top-k high utility patterns over data streams. Inf. Sci. 285: 138-161 (2014) - [j27]Mehdi Kargar, Aijun An, Xiaohui Yu:
Efficient Duplication Free and Minimal Keyword Search in Graphs. IEEE Trans. Knowl. Data Eng. 26(7): 1657-1669 (2014) - [c68]Elnaz Delpisheh, Aijun An:
Topic Modeling Using Collapsed Typed Dependency Relations. PAKDD (2) 2014: 146-161 - [c67]Ameeta Agrawal, Aijun An:
Kea: Sentiment Analysis of Phrases Within Short Texts. SemEval@COLING 2014: 380-384 - [c66]Mehdi Kargar, Aijun An, Nick Cercone, Parke Godfrey, Jaroslaw Szlichta, Xiaohui Yu:
MeanKS: meaningful keyword search in relational databases with complex schema. SIGMOD Conference 2014: 905-908 - [c65]Morteza Zihayat, Mehdi Kargar, Aijun An:
Two-Phase Pareto Set Discovery for Team Formation in Social Networks. WI-IAT (1) 2014: 304-311 - 2013
- [j26]Dusan Stevanovic, Natalija Vlajic, Aijun An:
Detection of malicious and non-malicious website visitors using unsupervised neural network learning. Appl. Soft Comput. 13(1): 698-708 (2013) - [j25]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) - [c64]Mehdi Kargar, Aijun An, Nick Cercone, Kayvan Tirdad, Morteza Zihayat:
Signal detection in genome sequences using complexity based features. BIOKDD 2013: 25-33 - [c63]Aijun An, Mehdi Kargar, Morteza Zihayat:
Finding Affordable and Collaborative Teams from a Network of Experts. SDM 2013: 587-595 - [c62]Ameeta Agrawal, Aijun An:
Kea: Expression-level Sentiment Analysis from Twitter Data. SemEval@NAACL-HLT 2013: 530-534 - 2012
- [j24]Dusan Stevanovic, Aijun An, Natalija Vlajic:
Feature evaluation for web crawler detection with data mining techniques. Expert Syst. Appl. 39(10): 8707-8717 (2012) - [j23]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) - [c61]Mehdi Kargar, Aijun An:
Efficient Top-k Keyword Search in Graphs with Polynomial Delay. ICDE 2012: 1269-1272 - [c60]Mehdi Kargar, Aijun An, Morteza Zihayat:
Efficient Bi-objective Team Formation in Social Networks. ECML/PKDD (2) 2012: 483-498 - [c59]Ameeta Agrawal, Aijun An:
Unsupervised Emotion Detection from Text Using Semantic and Syntactic Relations. Web Intelligence 2012: 346-353 - 2011
- [j22]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) - [j21]Nick Cercone, Xiangdong An, Jiye Li, Zhenmei Gu, Aijun An:
Finding best evidence for evidence-based best practice recommendations in health care: the initial decision support system design. Knowl. Inf. Syst. 29(1): 159-201 (2011) - [j20]Mehdi Kargar, Aijun An:
Keyword Search in Graphs: Finding r-cliques. Proc. VLDB Endow. 4(10): 681-692 (2011) - [c58]Bahareh Sarrafzadeh, Nikolay Yakovets, Nick Cercone, Aijun An:
Cross-Lingual Word Sense Disambiguation for Languages with Scarce Resources. Canadian AI 2011: 347-358 - [c57]Mehdi Kargar, Aijun An:
Discovering top-k teams of experts with/without a leader in social networks. CIKM 2011: 985-994 - [c56]Mehdi Kargar, Aijun An:
TeamExp: Top-k Team Formation in Social Networks. ICDM Workshops 2011: 1231-1234 - [c55]Bahareh Sarrafzadeh, Nikolay Yakovets, Nick Cercone, Aijun An:
Towards Automatic Acquisition of a Fully Sense Tagged Corpus for Persian. ISMIS 2011: 449-455 - [c54]Dusan Stevanovic, Aijun An, Natalija Vlajic:
Detecting Web Crawlers from Web Server Access Logs with Data Mining Classifiers. ISMIS 2011: 483-489 - [c53]Dusan Stevanovic, Natalija Vlajic, Aijun An:
Unsupervised Clustering of Web Sessions to Detect Malicious and Non-malicious Website Users. ANT/MobiWIS 2011: 123-131 - 2010
- [j19]