2024
B. Cai, G. Huang, S. Yang, Y. Xiang, C.-H. Chi, SS-shapelets: Semi-supervised Clustering of Time Series Using Representative Shapelets, Expert Systems With Applications, April 2024.
2023
Y. Shu, J. Zhang , G. Huang , C.-H. Chi , J. He, Entity Alignment via Graph Neural Networks: A Component-level Study, World Wide Web, 2023.
R. Zarei, G. Huang and J. Wu, GraphTS: Graph-Represented Time Series for Subsequence Anomaly Detection, Plos One, Aug. 2023.
L. Chen, G. Li, G. Huang, Qinglin Zhao, A lightweight model using frequency, trend and temporal attention for long sequence time series prediction, Neural Computing and Applications, 2023.
W. Xu, J. He, Y. Shu, G. Huang, SGAT: Snapshot-Guided Adversarial Training of Neural Networks, Neurocomputing, 2023.
J. Wu, G. Huang, H. Zhen, G.-L. Huang, B. Cai, C.-H. Chi and J. He, Emerging Scientific Topic Discovery by Analyzing Reliable Patterns of Infrequent Synonymous Biterms, IEEE Transactions on Emerging Topics in Computational Intelligence, 1-10, April 2023.
C. Wu, Z. Xie, K. Chen, C. Shi, Y. Ye, Y. Xin, R. Zarei and G. Huang, A Part-based Deep Learning Network for Identifying Individual Crabs Using Ventral Images, Frontiers in Marine Science, 2023.
B. Ofoghi, J. Yearwood, Knowledge representation of mathematical optimization problems and constructs for modeling, Knowledge-Based Systems 280, 110980, 2023.
A.H. Saffar, T.K. Mann, B. Ofoghi, Textual emotion detection in health: Advances and applications, Journal of Biomedical Informatics 137, 104258, 2023.
S Thuseethan, S Rajasegarar, J Yearwood, Deep3DCANN: A Deep 3DCNN-ANN framework for spontaneous micro-expression recognition, Information Sciences 630, 341-355, 2023
A Habib, C Karmakar, J Yearwood, Domain Agnostic Post-Processing for QRS Detection Using Recurrent Neural Network, IEEE Journal of Biomedical and Health Informatics, 2023
NAH Haldar, J Li, N Akhtar, Y Jia, A Mian: Co-Engaged Location Group Search in Location-Based Social Networks, IEEE Transactions on Knowledge and Data Engineering, 2023
Y Tang, J Li, NAH Haldar, Z Guan, J Xu, C Liu: Reliability-Driven Local Community Search in Dynamic Networks, IEEE Transactions on Knowledge and Data Engineering, 2023
U Fang, J Li, X Lu, A Mian, Z Gu: Robust image clustering via context-aware contrastive graph learning, Pattern Recognition 138, 109340, 2023
U Fang, M Li, J Li, L Gao, T Jia, Y Zhang: A Comprehensive Survey on Multi-view Clustering, IEEE Transactions on Knowledge and Data Engineering, 2023
W Hong, J Yin, M You, H Wang, J Cao, J Li, M Liu, C Man, A graph empowered insider threat detection framework based on daily activities, ISA transactions 141, 84-92, 2023.
S Ho, M Liu, L Du, L Gao, Y Xiang, Prototype-Guided Memory Replay for Continual Learning, IEEE Transactions on Neural Networks and Learning Systems, 2023.
2022
Y Qu, MP Uddin, C Gan, Y Xiang, L Gao, J Yearwood, Blockchain-enabled federated learning: A survey, ACM Computing Surveys 55 (4), 1-35, 2022
S Janarthan, S Thuseethan, S Rajasegarar, J Yearwood, P2OP—Plant Pathology on Palms: A deep learning-based mobile solution for in-field plant disease detection, Computers and Electronics in Agriculture 202, 107371, 2022
S Rahman, C Karmakar, J Yearwood, M Palaniswami, A real-time tunable ECG noise-aware system for IoT-enabled devices, IEEE Sensors Journal 22 (23), 23277-23285, 2022
R Esmaeilbeigi, V Mak-Hau, J Yearwood, V Nguyen, The multiphase course timetabling problem, European Journal of Operational Research 300 (3), 1098-1119, 2022
S Thuseethan, S Rajasegarar, J Yearwood, EmoSeC: Emotion recognition from scene context, Neurocomputing 492, 174-187, 2022
A Habib, C Karmakar, J Yearwood, Interpretability and optimisation of convolutional neural networks based on sinc-convolution, IEEE Journal of Biomedical and Health Informatics 27 (4), 1758-1769, 2022
TD Chuong, VH Mak-Hau, J Yearwood, R Dazeley, MT Nguyen, T Cao, Robust Pareto solutions for convex quadratic multiobjective optimization problems under data uncertainty, Annals of Operations Research, 1-32, 2022
HY Koh, J Ju, M Liu, S Pan, An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics, ACM Journal of the ACM (JACM), 2022
J Chen, L Du, M Liu, X Zhou, Mulan: a multiple residual article-wise attention network for legal judgment prediction, Transactions on Asian and Low-Resource Language Information Processing 21 (4), 2022
S De Alwis, Z. Hou, Y. Zhang, MH Na, B. Ofoghi, A Sajjanhar, A survey on smart farming data, applications and techniques, Computers in Industry 138, 103624, 2022.
B. Ofoghi, M. Mahdiloo, J. Yearwood, Data Envelopment Analysis of linguistic features and passage relevance for open-domain Question Answering, Knowledge-Based Systems 244, 108574, 2022.
X. Hou, J. Hou, G. Huang, Bi-dimensional Principal Gene Feature Selection from Big Gene Expression Data, Plos One, 2022.
X Song, J Li, T Cai, S Yang, T Yang, C Liu: A survey on deep learning based knowledge tracing, Knowledge-Based Systems 258, 110036, 2022
S Yang, B Cai, T Cai, X Song, J Jiang, B Li, J Li: Robust cross-network node classification via constrained graph mutual information, Knowledge-Based Systems 257, 109852, 2022.
C Xu, W Zhao, J Zhao, Z Guan, X Song, J Li: Uncertainty-aware multiview deep learning for internet of things applications, IEEE Transactions on Industrial Informatics 19 (2), 1456-1466, 2022.
T Cai, S Yang, J Li, QZ Sheng, J Yang, X Wang, WE Zhang, L Gao: Incremental graph computation: Anchored vertex tracking in dynamic social networks, IEEE Transactions on Knowledge and Data Engineering, 2022
X Song, J Li, Q Lei, W Zhao, Y Chen, A Mian: Bi-CLKT: Bi-graph contrastive learning based knowledge tracing, Knowledge-Based Systems 241, 108274, 2022.
J Zhang, Y Sun, G Li, Y Wang, J Sun, J Li: Machine-learning-assisted shear strength prediction of reinforced concrete beams with and without stirrups, Engineering with Computers, 1-15, 2022
NAH Haldar, J Li, ME Ali, T Cai, Y Chen, T Sellis, M Reynolds: Top-k Socio-Spatial Co-Engaged Location Selection for Social Users, IEEE Transactions on Knowledge and Data Engineering 35 (5), 5325-5340, 2022
X Kong, K Wang, M Hou, F Xia, G Karmakar, J Li: Exploring human mobility for multi-pattern passenger prediction: A graph learning framework, IEEE Transactions on Intelligent Transportation Systems 23 (9), 16148-16160, 2022
G Xue, M Zhong, J Li, J Chen, C Zhai, R Kong: Dynamic network embedding survey, Neurocomputing 472, 212-223, 2022.
2021
MP Uddin, Y Xiang, J Yearwood, L Gao, Robust federated averaging via outlier pruning, IEEE Signal Processing Letters 29, 409-413, 2021
S Thuseethan, S Rajasegarar, J Yearwood, Deep continual learning for emerging emotion recognition, IEEE Transactions on Multimedia 24, 4367-4380, 2021
M Šapina, CK Karmakar, K Kramarić, M Kośmider, M Garcin, D Brdarić, K Milas, J Yearwood, Lempel-Ziv complexity of the pNNx statistics–an application to neonatal stress, Chaos, Solitons & Fractals 146, 110703, 2021
MA Takalkar, S Thuseethan, S Rajasegarar, Z Chaczko, M Xu, J Yearwood, LGAttNet: Automatic micro-expression detection using dual-stream local and global attentions, Knowledge-Based Systems 212, 106566, 2021
L. Chen, G. Li, G. Huang and P. Shi, A Missing Type-aware Adaptive Interpolation Framework for Sensor Data, IEEE Transactions on Instrumentation and Measurement, 2021.
B. Cai, G. Huang, C.-H. Chi, R. Liu and Y. Shu, An Accurate Negative Survey Using Answer Confidence Level, IEEE Transactions on Dependable and Secure Computing, 18(4):1882-1892, 2021.
C. Lu, G. Huang and Y. Xiang, Entity Resolution in Sparse Encounter Network Using Markov Logic Network, IEEE Access, 2021.
J. Wu, J. He, C.-H. Chi, G. Huang, Absorbing Diagonal Algorithm: an Eigensolver of O(n^2.584963 log(1/ε)) Complexity at Precision ε, IEEE Transactions on Knowledge and Data Engineering, 33(5): 1831-1847, May 2021.
B. Cai, G. Huang, N. Samadiani, G. Li and C-H. Chi, Efficient time series clustering by Minimizing dynamic time warping utilization, IEEE Access, volume 9, pp. 46589-99, March 2021.
N. Samadiani, G. Huang, Y. Hu and X. Li, Happy Emotion Recognition from Unconstrained Videos Using 3D Hybrid Deep Features, IEEE Access, Volume 9, pp. 35524-38, 2021.
S. Hu, G. Li, G. Huang, Dynamic Spatial-Correlation-Aware Topology Control of Wireless Sensor Networks Using Game Theory, IEEE Sensors Journal, pp. 1-10, 2021.
L. Chen, G. Li, G. Huang, A Hypergrid Based Adaptive Learning Method for Detecting Data Faults in Wireless Sensor Networks, Information Sciences, 553: 49-65, April 2021.
B. Ofoghi, M. Chenaghlou, M. Mooney, D.B. Dwyer, L. Bruce, Team technical performance characteristics and their association with match outcome in elite netball, International Journal of Performance Analysis in Sport 21 (5):700-712, 2021.
J Sun, Y Ma, J Li, J Zhang, Z Ren, X Wang: Machine learning-aided design and prediction of cementitious composites containing graphite and slag powder, Journal of Building Engineering 43, 102544, 2021
X Song, J Li, Y Tang, T Zhao, Y Chen, Z Guan: Jkt: A joint graph convolutional network based deep knowledge tracing, Information Sciences 580, 510-523, 2021
U Fang, J Li, X Lu, L Gao, M Ali, Y Xiang: Self-supervised cross-iterative clustering for unlabeled plant disease images, Neurocomputing 456, 36-48, 2021
Y Yang, Z Guan, J Li, W Zhao, J Cui, Q Wang: Interpretable and efficient heterogeneous graph convolutional network, IEEE Transactions on Knowledge and Data Engineering, 2021
H Liu, Y Chen, N Cui, D Xu, J Li: An effective data fusion model for detecting the risk of transmission line in smart grid, IEEE Internet of Things Journal 9 (22), 22256-22266, 2021
Q Zeng, M Zhong, Y Zhu, T Qian, J Li, Business location planning based on a novel geo-social influence diffusion model, Information Sciences 559, 61-74, 2021
J Chen, M Zhong, J Li, D Wang, T Qian, H Tu: Effective deep attributed network representation learning with topology adapted smoothing, IEEE Transactions on Cybernetics 52 (7), 5935-5946, 2021.
M Wang, L Wu, J Li, L He: Traffic signal control with reinforcement learning based on region-aware cooperative strategy, IEEE Transactions on Intelligent Transportation Systems 23 (7), 6774-6785, 2021
Z Li, X Wang, J Li, Q Zhang: Deep attributed network representation learning of complex coupling and interaction, Knowledge-Based Systems 212, 106618, 2021
M Liu, H Zhang, G Wu, Fine Grained Human Evaluation for English-to-Chinese Machine Translation: A Case Study on Scientific Text, Transactions on Audio Speech and Language Processing, 2021
Y Jin, M Liu, Y Li, R Xu, L Du, L Gao, Y Xiang, Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data, Data Mining and Knowledge Discovery 35, 505-532, 2021
2020
S Thuseethan, S Rajasegarar, J Yearwood, Complex emotion profiling: An incremental active learning based approach with sparse annotations, IEEE Access 8, 147711-147727, 2020
S Janarthan, S Thuseethan, S Rajasegarar, Q Lyu, Y Zheng, J Yearwood, Deep metric learning based citrus disease classification with sparse data, IEEE Access 8, 162588-162600, 2020
HH Yong, C Karmakar, R Borland, S Kusmakar, M Fuller-Tyszkiewicz, J Yearwood, Identifying smoker subgroups with high versus low smoking cessation attempt probability: a decision tree analysis approach, Addictive behaviors 103, 106258, 2020
Z. Xie, G. Huang, R. Zarei, Z. Ji, H. Ye and J. He, A novel nest-based scheduling method for mobile wireless body area networks, Digital Communications and Networks, 6(4): 514-523, 2020.
D. Qin, X. Zhou, L. Chen, G. Huang, Y. Zhang, Dynamic Connection-based Social Group Recommendation, IEEE Transactions on Knowledge and Data Engineering 32(3): 453-467, 2020.
T Cai, J Li, A Mian, RH Li, T Sellis, JX Yu: Target-aware holistic influence maximization in spatial social networks, IEEE Transactions on Knowledge and Data Engineering 34 (4), 1993-2007, 2020.
X Song, J Li, S Sun, H Yin, P Dawson, RRM Doss: SEPN: a sequential engagement based academic performance prediction model, IEEE Intelligent Systems 36 (1), 46-53, 2020
J Li, T Cai, K Deng, X Wang, T Sellis, F Xia: Community-diversified influence maximization in social networks: Information Systems, 2020
X Kong, F Xia, J Li, M Hou, M Li, Y Xiang: A Shared Bus Profiling Scheme for Smart Cities Based on Heterogeneous Mobile Crowdsourced Data, IEEE Transactions on Industry Informatics 16(2): 1436-1444, 2020
2019
L Huang, G Zhang, S Yu, A Fu, J Yearwood, SeShare: Secure cloud data sharing based on blockchain and public auditing, Concurrency and Computation: Practice and Experience 31 (22), e4359, 2019
A Habib, C Karmakar, J Yearwood, Impact of ECG dataset diversity on generalization of CNN model for detecting QRS complex, IEEE access 7, 93275-93285, 2019
S. Yang, G. Huang, B. Cai, Discovering Topic Representative Terms for Short Text Clustering, IEEE Access 7: 92037-92047, 2019.
M. Hossain, I. Natgunanathan, Y. Xiang, L.-X. Yang, G. Huang, Enhanced smart meter privacy protection using rechargeable batteries, IEEE Internet of Things Journal, 6(4): 7079-7092, 2019.
N. Samadiani, G. Huang, B. Cai, W. Luo, C.-H. Chi, Y. Xiang, J. He, A review on automatic facial expression recognition assisted by multimodal sensor data, Sensors, 19(8): 1863, 2019.
H. Zheng, J. He, G. Huang, Y. Zhang and H. Wang, Dynamic optimisation based fuzzy association rule mining method, International Journal of Machine Learning and Cybernetics, 10(8): 2187-2198, 2019.
H. Zheng, J. He, Y. Zhang, G. Huang, A General Model for Fuzzy Decision Tree and Fuzzy Random Forest, Computational Intelligence, 35(2), 310-335, 2019.
P. Shi, G. Li, Y. Yuan, G. Huang, L. Kuang, Prediction of dissolved oxygen content in aquaculture using clustering-based softplus extreme learning machine, Computers and Electronics in Agriculture, 157, 329-338, 2019.
I Natgunanathan, M B Hossain, Y Xiang, L Gao, D Peng, J Li: Progressive Average-Based Smart Meter Privacy Enhancement Using Rechargeable Batteries. IEEE Internet of Things Journal 6(6): 9816-9828, 2019
Y-X Qiu, R-H Li, J Li, S Qiao, G Wang, J X Yu, R Mao: Efficient Structural Clustering on Probabilistic Graphs. IEEE Transactions on Knowledge and Data Engineering 31(10): 1954-1968, 2019
N A H Haldar, J Li, M Reynolds, T Sellis, J X Yu: Location prediction in large-scale social networks: an in-depth benchmarking study. The VLDB Journal 28(5): 623-648, 2019
D Baggio, T Peel, AY Peleg, S Avery, M Prayaga, M Foo, G Haffari, M Liu, Closing the gap in surveillance and audit of invasive mold diseases for antifungal stewardship using machine learning, Journal of Clinical Medicine 8 (9), 1390, 2019
2018
P Perversi, J Yearwood, E Bellucci, A Stranieri, J Warren, F Burstein, …, Exploring reasoning mechanisms in ward rounds: a critical realist multiple case study, BMC health services Research 18, 1-11, 2018
S Huda, J Yearwood, MM Hassan, A Almogren, Securing the operations in SCADA-IoT platform based industrial control system using ensemble of deep belief networks, Applied soft computing 71, 66-77, 2018
S Huda, S Miah, J Yearwood, S Alyahya, H Al-Dossari, R Doss, A malicious threat detection model for cloud assisted internet of things (CoT) based industrial control system (ICS) networks using deep belief network, Journal of Parallel and Distributed Computing 120, 23-31, 2018
M Šapina, CK Karmakar, K Kramarić, M Garcin, PD Adelson, K Milas, M Pirić, D Brdarić, J Yearwood, Multi-lag tone–entropy in neonatal stress, Journal of The Royal Society Interface 15 (146), 20180420, 2018
DT Nguyen, NS Vu, TT Do, T Nguyen, J Yearwood, Improving chamfer template matching using image segmentation, IEEE Signal Processing Letters 25 (11), 1635-1639, 2018
MM Hassan, S Huda, J Yearwood, HF Jelinek, A Almogren, Multistage fusion approaches based on a generative model and multivariate exponentially weighted moving average for diagnosis of cardiovascular autonomic nerve dysfunction, Information Fusion 41, 105-118, 2018
P Li, C Karmakar, J Yearwood, S Venkatesh, M Palaniswami, C Liu, Detection of epileptic seizure based on entropy analysis of short-term EEG, PloS one 13 (3), e0193691, 2018
D. Qin, X. Zhou, W. Zhou, G. Huang, Y. Ren, B. Horan, J. He and N. Kito, MSIM: A change detection framework for damage assessment in natural disasters, Expert Systems with Applications, 97: 372-383, 2018.
N Alduaiji, A Datta, J Li: Influence Propagation Model for Clique-Based Community Detection in Social Networks. IEEE Transactions on Computational Social Systems 5(2): 563-575, 2018
2017
S Huda, J Abawajy, M Abdollahian, R Islam, J Yearwood, A fast malware feature selection approach using a hybrid of multi‐linear and stepwise binary logistic regression, Concurrency and Computation: Practice and Experience 29 (23), 2017
S Li, L Huang, A Fu, J Yearwood, CExp: secure and verifiable outsourcing of composite modular exponentiation with single untrusted server, Digital Communications and Networks 3 (4), 236-241, 2017
I Natgunanathan, Y Xiang, G Hua, G Beliakov, J Yearwood, Patchwork-based multilayer audio watermarking, IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (11), 2017
NGT Gunaratne, MA Abdollahian, S Huda, J Yearwood, Exponentially weighted control charts to monitor multivariate process variability for high dimensions, International Journal of Production Research 55 (17), 4948-4962, 2017
DT Nguyen, PO Ogunbona, W Li, E Tasker, J Yearwood, Detection of ground parrot vocalisation: A multiple instance learning approach, The Journal of the Acoustical Society of America 142 (3), 1281-1290, 2017
X. Zhou, L. Chen, Y. Zhang, D. Qin, L. Cao, G. Huang and C. Wang, Enhancing online video recommendation using social user interactions, VLDB Journal, 26(5): 637-656, 2017.
J Li, T Sellis, J S Culpepper, Z He, C Liu, J Wang: Geo-Social Influence Spanning Maximization. IEEE Transactions on Knowledge and Data Engineering 29(8): 1653-1666, 2017
2016
NR Sabar, J Abawajy, J Yearwood, Heterogeneous cooperative co-evolution memetic differential evolution algorithm for big data optimization problems, IEEE Transactions on Evolutionary Computation 21 (2), 315-327, 2016
I Natgunanathan, A Mehmood, Y Xiang, G Beliakov, J Yearwood, Protection of privacy in biometric data, IEEE access 4, 880-892, 2016
S Huda, J Abawajy, M Alazab, M Abdollalihian, R Islam, J Yearwood, Hybrids of support vector machine wrapper and filter based framework for malware detection, Future Generation Computer Systems 55, 376-390, 2016
S Huda, J Yearwood, HF Jelinek, MM Hassan, G Fortino, M Buckland, A hybrid feature selection with ensemble classification for imbalanced healthcare data: A case study for brain tumor diagnosis, IEEE access 4, 9145-9154, 2016
G. Huang, J. He, W. Zhou, G.-L. Huang, L. Guo, X. Zhou and F. Tang, Discovery of stop regions for understanding repeat travel behaviors of moving objects, Journal of Computer and System Sciences, 82(4): 582-593, 2016.
B. Ofoghi, J. Zeleznikow, C. Macmahon, J. Rehula, D.B. Dwyer, Performance analysis and prediction in triathlon, Journal of sports sciences 34 (7): 607-612, 2016.
J Li, C Liu, J X Yu, Y Chen, T K Sellis, J S Culpepper: Personalized Influential Topic Search via Social Network Summarization, IEEE Transactions on Knowledge and Data Engineering 28(7): 1820-1834, 2016
K Deng, J Li, C Pang, J Li, X Zhou: Access Time Oracle for Planar Graphs, IEEE Transactions on Knowledge and Data Engineering 28(8): 1959-1970, 2016
2015
MWR Miah, J Yearwood, S Kulkarni, Constructing an inter‐post similarity measure to differentiate the psychological stages in offensive chats, Journal of the Association for Information Science and Technology 66 (5), 2015
G. Huang, J. He, Y. Zhang, W. Zhou, H. Liu, P. Zhang, Z. Ding, Y. You and J. Cao, Mining streams of short text for analysis of world-wide event evolutions, World Wide Web, 18(5): 1201-1217, 2015.
J Li, C Liu, J X Yu: Context-Based Diversification for Keyword Queries Over XML Data. IEEE Transactions on Knowledge and Data Engineering 27(3): 660-672, 2015
M S Islam, C Liu, J Li: Efficient Answering of Why-Not Questions in Similar Graph Matching. IEEE Transactions on Knowledge and Data Engineering 27(10): 2672-2686, 2015
2014
S Taheri, J Yearwood, M Mammadov, S Seifollahi, Attribute weighted Naive Bayes classifier using a local optimization, Neural Computing and Applications 24, 995-1002, 2014
S Huda, J Yearwood, R Togneri, Hybrid metaheuristic approaches to the expectation maximization for estimation of the hidden Markov model for signal modeling, IEEE Transactions on Cybernetics 44 (10), 1962-1977, 2014
J Li, C Liu, R Zhou, J X Yu: Quasi-SLCA Based Keyword QueryProcessing over Probabilistic XML Data. IEEE Transactions on Knowledge and Data Engineering 26(4): 957-969, 2014
G. Huang, Y. Zhang, J. Cao, M. Steyn and K. Taraporewalla, Online mining abnormal period patterns from multiple medical sensor data streams, World Wide Web, 17(4): 569-587, 2014.
2023
M Liu, R Beare, T Collyer, N Andrew, V Srikanth, Leveraging Natural Language Processing and Clinical Notes for Dementia Detection, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 2023.
X Li, M Liu, S Gao, Can Pretrained Language Models Derive Correct Semantics from Corrupt Subwords under Noise? Proceedings of 2023 Association of Computational Linguistics, 2023.
X Li, M Liu, S Gao, W Buntine, A Survey on Out-of-Distribution Evaluation of Neural NLP Models, IJCAI 2023 Survey Track, 2023
M Wang, M Liu, An Empirical Study on Active Learning for Multi-label Text Classification, European Association of Computational Linguistics, 2023
D. Nagumothu, B. Ofoghi, P.W. Eklund, Semantic Triple-Assisted Learning for Question Answering Passage Re-ranking, International Conference on Document Analysis and Recognition, 249-264, 2023.
2022
S Dong, X Miao, P Liu, X Wang, B Cui, J Li, HET-KG: Communication-efficient knowledge graph embedding training via hotness-aware cache, IEEE 38th International Conference on Data Engineering (ICDE), 1754-1766, 2022
L Chen, C Liu, R Zhou, J Xu, J Li, Efficient maximal biclique enumeration for large sparse bipartite graphs, Proceedings of the VLDB Endowment 15 (8), 1559-1571, 2022
HY Koh, J Ju, H Zhang, M Liu, S Pan, How Far are We from Robust Long Abstractive Summarization? Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
S Ho, M Liu, L Du, Y Li, L Gao, S Gao, Semi-supervised Continual Learning with Meta Self-training, Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
J. Wu, G. Huang, H. Zhen, G.-L. Huang, Y. Hu, and J. He, Repeatable Pattern Mining for Accurate Subtraction of Backgrounds with Waving Objects in Underwater Videos, The 9th IEEE International Conference on Data Science and Advanced Analytics (DSAA’22), 2022.
J. Wu, G. Huang, R. Zarei, J. Li, J. He, H. Zhen, G.-L. Huang and C.-H. Chi, Emerging Scientific Topic Discovery by Finding Infrequent Synonymous Biterms, PAKDD’22, May 16-19, 2022.
D. Nagumothu, B. Ofoghi, G. Huang and P. Eklund, PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation on Small Corpora, The 2022 Conference on Computational Natural Language Learning (CoNLL’2022), 2022.
2021
Z Hu, L Wu, J Li, C Ma, X Shi, Everyone in SDN Contributes: Fault localization via well-designed rules, IEEE 41st International Conference on Distributed Computing Systems, 2021
K Lo, Y Jin, W Tan, M Liu, L Du, W Buntine, Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Y Jin, H Zhao, M Liu, L Du, W Buntine, Neural Attention-Aware Hierarchical Topic Model, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
J Ju, M Liu, HY Koh, Y Jin, L Du, S Pan, Leveraging Information Bottleneck for Scientific Document Summarization, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
B. Cai, G. Huang, S. Yang, Y. Xiang, C.-H. Chi, Clustering Hashtags Using Temporal Patterns, the 21st International Conference on Web Information Systems Engineering, WISE (1) 2020: 183-195.
J. He, J. Chen, G. Huang, et al, A Fuzzy Theory Based Topological Distance Measurement for Undirected Multigraphs, the 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’2020), July 19-24, 2020.
J Lu, L Du, M Liu, J Dipnall, Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
J Zhao, M Liu, L Gao, Y Jin, L Du, H Zhao, H Zhang, G Haffari, Summpip: Unsupervised multi-document summarization with sentence graph compression, Proceedings of the 43rd international acm sigir conference on research and development in information retrieval, 2020
L Chen, C Liu, R Zhou, J Xu, JX Yu, J Li, Finding effective geo-social group for impromptu activities with diverse demands, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020
M Li, FM Choudhury, R Borovica-Gajic, Z Wang, J Xin, J Li, Crashsim: An efficient algorithm for computing simrank over static and temporal graphs, IEEE 36th International Conference on Data Engineering (ICDE), 1141-1152, 2020
T Cai, J Li, NAH Haldar, A Mian, J Yearwood, T Sellis, Anchored vertex exploration for community engagement in social networks, IEEE 36th International Conference on Data Engineering (ICDE), 409-420, 2020
H Zhang, X Wang, J Chen, C Wang, J Li, D2D-LSTM: LSTM-based path prediction of content diffusion tree in device-to-device social networks, Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 295-302, 2020
2019
N Cui, J Li, X Yang, B Wang, M Reynolds, Y Xiang, When geo-text meets security: privacy-preserving boolean spatial keyword queries, IEEE 35th International Conference on Data Engineering (ICDE), 1046-1057, 2019
Z Li, X Wang, J Li, Q Zhang, Structural role enhanced attributed network embedding, 20th International Conference on Web Information Systems Engineering (WISE), 2019
S Thuseethan, S Rajasegarar, J Yearwood, Detecting micro-expression intensity changes from videos based on hybrid deep CNN, Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia (PAKDD), 2019
2018
B. Cai, G. Huang, Y. Xiang, G.-L. Huang, K. Deng, J. He and X. Zhou, Clustering of multiple density peaks, 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’18), pp.413-425, Melbourne, Australia, June 3-6, 2018.
M Liu, W Buntine, G Haffari, Learning how to actively learn: A deep imitation learning approach, Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
B Ghosh, ME Ali, FM Choudhury, SH Apon, T Sellis, J Li, The flexible socio spatial group queries, Proceedings of the VLDB Endowment 12 (2), 99-111, 2018
J Li, T Cai, A Mian, RH Li, T Sellis, JX Yu, Holistic influence maximization for targeted advertisements in spatial social networks, IEEE 34th international conference on data engineering (ICDE), 1340-1343, 2018
X Wang, K Deng, J Li, JX Yu, CS Jensen, X Yang, Targeted influence minimization in social networks, 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD), 2018
2017
J Li, X Wang, K Deng, X Yang, T Sellis, JX Yu, Most influential community search over large social networks, IEEE 33rd international conference on data engineering (ICDE), 871-882, 2017
MM Anwar, C Liu, J Li, T Anwar, Discovering and tracking active online social groups, 18th International Conference on Web Information Systems Engineering (WISE), 2017
M Liu, G Haffari, W Buntine, M Ananda-Rajah, Leveraging linguistic resources for improving neural text classification, Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, , 2017
S. Yang, G. Huang, Y. Xiang and C.-H. Chi, Modeling user preferences on spatiotemporal topics for point-of-interest recommendation, the 14th IEEE International Conference on Services Computing (SCC’17), pp. 204-211, Honolulu, Hawaii, USA, June 25 – 30, 2017.
T Nguyen, DT Nguyen, ME Larsen, B O’Dea, J Yearwood, D Phung, Prediction of population health indices from social media using kernel-based textual and temporal features, Proceedings of the 26th International Conference on World Wide Web Companion, 2017
2016
M Liu, G Haffari, W Buntine, Learning cascaded latent variable models for biomedical text classification, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
T Nguyen, R Borland, J Yearwood, HH Yong, S Venkatesh, D Phung, Discriminative cues for different stages of smoking cessation in online community, 17th International Conference on Web Information Systems Engineering (WISE), 2016
P. Zhang, S. Hu, J. He, Y. Zhang, X. Cao, G. Huang and J. Zhang, Building cloud-based healthcare data mining services, the 13th IEEE International Conference on Services Computing (SCC’16), pp. 459-466, San Francisco, USA, Jun 27-Jul 2, 2016.
2015
G. Huang, J. He, C.-H.. Chi, W. Zhou and Y. Zhang, A data as a product model for future consumption of big stream data in clouds, the 12th IEEE International Conference on Services Computing (SCC’15), pp. 256-263, June 27 – July 2, 2015, USA.
X. Zhou, L. Chen, Y. Zhang, L. Cao, G. Huang and C. Wang, Online video recommendation in sharing community, SIGMOD’2015, Melbourne, Australia, May 31 – June 4, 2015, pp. 1645-1656.
J. He, R. Zarei, J. Cao, K. Taraporewalla, G. Huang, H. Zhang, C.-H. Chi, Building the computational virtual reality environment for anaesthetists’ training and practice, the 12th IEEE International Conference on Services Computing (SCC’15), June 27 – July 2, 2015, New York, USA, pp. 242-248.
2014
J Li, C Liu, MS Islam, Keyword-based correlated network computation over large social media, IEEE 30th International Conference on Data Engineering (ICDE), 268-279, 2014
W. Yao, J. He, G. Huang and Y. Zhang, Modeling dual role preferences for trust-aware recommendation, ACM SIGIR 2014 Conference, pp. 975-978.
H. Zheng, J. He, G. Huang and Y. Zhang, Optimized fuzzy association rule mining for quantitative data, the 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’2014), Beijing, China, July 6-11, 2014, pp. 396-403.
W. Yao, J. He, G. Huang and Y. Zhang, SoRank: incorporating social information into learning to rank models for recommendation, WWW conference (Companion Volume), Seoul, Korea, April 7-11, 2014: 409-410.