Biography
Guangyan Huang currently is an Associate Professor at the School of Information Technology, Faculty of Science, Engineering and Built Environment, Deakin University. A/Prof Huang is an independent leading researcher with a fast-increasing international reputation in the fields of Artificial Intelligence, Pattern Recognition, Image Processing and Data Mining. She has made significant breakthroughs in stream pattern mining, video-based soft sensing and emerging topic discovery (by short text mining) that have opened new directions for intelligent robotics in wide applications, such as aquaculture and healthcare. She has three ARC projects in these fields; she was the recipient of an ARC DECRA fellowship (DE140100387) and has been awarded two Discovery Projects - DP190100587 (sole CI) and DP140100841. She was awarded a PhD degree in Computer Science from Victoria University in 2012. Before she joined Deakin, she was a senior lecturer (2014) and research fellow (2012-2013) in VU. She is a PhD Principal supervisor. She is an IEEE Senior member.
A/Prof Huang has extensive research experience and has 130+ publications mainly in the areas of stream pattern mining, anomaly recognition, clustering/unsupervised learning, image/video processing, facial expression recognition, video surveillance, short text mining, emerging topic discovery, trajectory pattern mining, fuzzy computation, IoT/sensor networks and software testing.
She also has 5 years' research experiences in Chinese Academy of Sciences. She was a research assistant from 2003 to 2007 in the Institute of Computing Technology, Chinese Academy of Sciences. She worked as an assistant professor in the Institute of Software, Chinese Academy of Sciences from 2007 to 2009. Between June 2006 and Dec. 2006, she was a visiting researcher at Platforms and Devices Centre in Microsoft Research Asia.
She is active in academic community. She has served as Associate Editor for IEEE Transactions on Emerging Topic in Computational Intelligence and Editor for Engineering Applications of AI since 2023, PC Member for SIGKDD'2022-2023, SDM'2024, GECCO'2024, PAKDD'2020-2024, IEEE SCC'2016 etc, and Publication Chair of WI-IAT'2020-2021, WISE'2012-2013, HIS'2012-2013 etc. She achieved APWeb'2012 Best Local Arrangement Chair Award and HIS'2012 Best Workshop Chair Award. She was Assistant Editor for Health Information Science and Systems Journal from 2012 to 2014 and helped launch the first issue in Dec. 2012.
Read more on Guangyan's profileResearch interests
Research Expertise:
- Data mining and knowledge discovery (460502)
- Intelligent robotics (460205)
- Natural language processing (460208)
- Pattern recognition (460308)
- Computer vision (460304)
- Semi- and unsupervised learning (461106)
- Fuzzy computation (460204)
- Cyberphysical systems and internet of things (460603)
- Affective computing (460802)
- Software testing, verification and validation (461208)
General Knowledge:
- Innovation management (350705)
- Aquaculture (300501)
- Health informatics and information systems (420308)
Units taught
SIT773 - Software Requirements Analysis and Modelling (2019-2024)
SIT771 - Object-Oriented Development (2021-2023)
SIT742 - Modern Data Science (2018)
SIT717 - Enterprise Business Intelligence (2018, 2019)
SIT707 - Software Quality and Testing (2018)
SIT340/SIT740 - Research and Development in Information Technology (2014-2017)
Professional activities
• 2023–to date: Associate Editor, IEEE Transactions on Emerging Topics in Computational Intelligence
• 2023–to date: Member of the Board of Editors, Engineering Applications of Artificial Intelligence
• 2024–to date: Associate Editor, Computers in Industry
• 2024: Lead Guest Editor, Special Issue: “Emotion Sensing and Robotic Emotional Intelligence”, Sensors, link
• 2022–2023: PC Member, the 28th-29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD)'22-23
• 2024 – : PC Member, 2024 SIAM International Conference on Data Mining (SDM'24)
• 2024 – : PC Member, 2024 Genetic and Evolutionary Computation Conference (GECCO'24)
• 2020–2024: PC Member, the 24th-27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)’20-24
• 2016: PC Member, IEEE International Conference on Service Computing (SCC)’16
• 2012–2013: Publication Chair, International Conference on Web Information Systems Engineering (WISE)’12-13
• 2012–2014: Assistant Editor, Health Information Science and Systems Journal
Projects
ARC Grants:
1. G. Huang (sole CI), ARC Discovery Project - "Sensor Stream Pattern Mining for Automatic Anomaly Recognition and Intervention" (DP190100587, $351,725, 2019-2021)
(A PhD scholarship related to this DP project, with $27,082 per annum for three years, is available until filled. Interested applicants please send your CV, academic record and publications to guangyan.huang@deakin.edu.au.)
2. G. Huang, ARC DECRA Project - "Mining Patterns and Changes of Wave Shapes for Efficiently Querying Periodic Data Streams" (DE140100387, $349,179, 2014-2016).
3. Y. Zhang, G. Huang, ARC DP Project - "Deep Data Mining for Anomaly Prediction from Sensor Data Streams" (DP140100841, $329,027, 2014-2016).
Publications
SE-shapelets: Semi-supervised Clustering of Time Series Using Representative Shapelets
B Cai, G Huang, S Yang, Y Xiang, C Chi
(2024), Vol. 240, pp. 1-11, Expert Systems With Applications, Amsterdam, The Netherlands, C1
P Shi, L Kuang, L Yuan, Q Wang, G Li, Y Yuan, Y Zhang, G Huang
(2024), Vol. 105, pp. 1-15, Aquacultural Engineering, Amsterdam, The Netherlands, C1
A Part-based Deep Learning Network for identifying individual crabs using abdomen images
C Wu, Z Xie, K Chen, C Shi, Y Ye, Y Xin, R Zarei, G Huang
(2023), Vol. 10, pp. 01-12, Frontiers in Marine Science, Lausanne, Switzerland, C1
Emerging Scientific Topic Discovery by Analyzing Reliable Patterns of Infrequent Synonymous Biterms
J Wu, G Huang, H Zheng, G Huang, B Cai, C Chi, J He
(2023), IEEE Transactions on Emerging Topics in Computational Intelligence, C1
SGAT: Snapshot-guided adversarial training of neural networks
W Xu, J He, Y Shu, G Huang
(2023), Vol. 547, pp. 1-16, Neurocomputing, Amsterdam, The Netherlands, C1
GraphTS: Graph-represented time series for subsequence anomaly detection
R Zarei, G Huang, J Wu
(2023), Vol. 18, pp. 1-27, PLoS One, San Francisco, Calif., C1
L Chen, G Li, G Huang, Q Zhao
(2023), Vol. 35, pp. 21291-21307, Neural Computing and Applications, Berlin, Germany, C1
Entity alignment via graph neural networks: a component-level study
Y Shu, J Zhang, G Huang, C Chi, J He
(2023), pp. 1-24, World Wide Web, Berlin, Germany, C1
Y Fang, Z Xie, K Chen, G Huang, R Zarei, Y Xie
(2023), Vol. 45, pp. 10349-10367, Journal of Intelligent and Fuzzy Systems, Amsterdam, The Netherlands, C1
A multiple feature fusion framework for video emotion recognition in the wild
N Samadiani, G Huang, W Luo, C Chi, Y Shu, R Wang, T Kocaturk
(2022), Vol. 34, Concurrency and Computation: Practice and Experience, C1
Short text similarity measurement using context-aware weighted biterms
S Yang, G Huang, B Ofoghi, J Yearwood
(2022), Vol. 34, pp. 1-11, Concurrency Computation, London, Eng., C1
Lane marking detection algorithm based on high-precision map and multisensor fusion
H Yao, C Chen, S Liu, K Li, Y Ji, G Huang, R Wang
(2022), Vol. 34, Concurrency and Computation: Practice and Experience, C1
L Zhao, Z Bao, Z Xie, G Huang, Z Rehman
(2022), Vol. 34, pp. 2481-2499, Connection Science, C1
Bi-dimensional principal gene feature selection from big gene expression data
X Hou, J Hou, G Huang
(2022), Vol. 17, pp. e0278583-e0278583, PLoS ONE, United States, C1
ETBTRank: Ranking Biterms in Paper Titles for Emerging Topic Discovery
J Wu, G Huang, R Zarei
(2022), Vol. 13151, pp. 775-784, AI 2022: Proceedings of the AI 34th Australasian Joint Conference on Advances in Artificial Intelligence, Sydney, N.S.W., E1
Emerging Scientific Topic Discovery by Finding Infrequent Synonymous Biterms
J Wu, G Huang, R Zarei, J Li, G Huang, H Zheng, J He, C Chi
(2022), Vol. 13280, pp. 29-40, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Chengdu, China, E1
Closing the Dynamics Gap via Adversarial and Reinforcement Learning for High-Speed Racing
J Niu, Y Hu, W Li, G Huang, Y Han, X Li
(2022), IJCNN 2022 : Proceedings of the International Joint Conference on Neural Networks 2022 conference, Padua, Italy, E1
J Wu, G Huang, H Zheng, G Huang, Y Hu, J He
(2022), pp. 1-11, DSAA 2022 : Proceedings of the 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, Online, E1
PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora
Dinesh Nagumothu, Bahadorreza Ofoghi, Guangyan Huang, Peter Eklund
(2022), pp. 350-359, CoNLL 2022 : Proceedings of the 26th Conference on Computational Natural Language Learning, Abu Dhabi, United Arab Emirates, E1
A polynomial-time algorithm for simple undirected graph isomorphism
J He, J Chen, G Huang, J Cao, Z Zhang, H Zheng, P Zhang, R Zarei, F Sansoto, R Wang, Y Ji, W Fan, Z Xie, X Wang, M Guo, C Chi, P de Souza, J Zhang, Y Li, X Chen, Y Shi, D Green, T Kersi, A Van Zundert
(2021), Vol. 33, pp. 1-, Concurrency and Computation: Practice and Experience, C1
An Accurate Negative Survey Using Answer Confidence Level
B Cai, G Huang, C Chi, R Liu, Y Shu
(2021), Vol. 18, pp. 1882-1892, IEEE Transactions on Dependable and Secure Computing, C1
Dynamic spatial-correlation-aware topology control of wireless sensor networks using game theory
S Hu, G Li, G Huang
(2021), Vol. 21, pp. 7093-7102, IEEE sensors journal, Piscataway, N.J., C1
A hypergrid based adaptive learning method for detecting data faults in wireless sensor networks
L Chen, G Li, G Huang
(2021), Vol. 553, pp. 49-65, Information sciences, Amsterdam, The Netherlands, C1
S Yang, G Huang, X Zhou, V Mak, J Yearwood
(2021), Vol. 20, pp. 341-370, International Journal of Information Technology and Decision Making, C1
Happy Emotion Recognition from Unconstrained Videos Using 3D Hybrid Deep Features
N Samadiani, G Huang, Y Hu, X Li
(2021), Vol. 9, pp. 35524-35538, IEEE Access, C1
Efficient Time Series Clustering by Minimizing Dynamic Time Warping Utilization
B Cai, G Huang, N Samadiani, G Li, C Chi
(2021), Vol. 9, pp. 46589-46599, IEEE Access, C1
Absorbing Diagonal Algorithm: An Eigensolver of O (
J Wu, J He, C Chi, G Huang
(2021), Vol. 33, pp. 1831-1847, IEEE Transactions on Knowledge and Data Engineering, C1
Entity Resolution in Sparse Encounter Network Using Markov Logic Network
C Lu, G Huang, Y Xiang
(2021), Vol. 9, pp. 83055-83066, IEEE Access, C1
A Missing Type-Aware Adaptive Interpolation Framework for Sensor Data
L Chen, G Li, G Huang, P Shi
(2021), Vol. 70, IEEE Transactions on Instrumentation and Measurement, C1
Representation Learning for Short Text Clustering
H Yin, X Song, S Yang, G Huang, J Li
(2021), Vol. 13081, pp. 321-335, WISE 2021 : Proceedings of the 22nd International Conference on Web Information Systems Engineering 2021, Melbourne, Vic., E1
Dynamic connection-based social group recommendation
D Qin, X Zhou, L Chen, G Huang, Y Zhang
(2020), Vol. 32, pp. 453-467, IEEE transactions on knowledge and data engineering, Piscataway, N.J., C1
X Wang, Z Jiang, W Li, R Zarei, G Huang, A Ulhaq, X Yin, B Zhang, P Shi, M Guo, J He
(2020), Vol. 32, Concurrency and Computation: Practice and Experience, C1
Z Xie, B Wang, J Yu, H Wu, G Huang, R Zarei, J He
(2020), Vol. 2020, Journal of Sensors, C1
A combination model based on transfer learning for waste classification
G Huang, J He, Z Xu, G Huang
(2020), Vol. 32, Concurrency and Computation: Practice and Experience, C1
Multi-Scale Shapelets Discovery for Time-Series Classification
B Cai, G Huang, Y Xiang, M Angelova, L Guo, C Chi
(2020), Vol. 19, pp. 721-739, International Journal of Information Technology and Decision Making, C1
A novel Nest-based scheduling method for mobile wireless body area networks
Z Xie, G Huang, R Zarei, Z Ji, H Ye, J He
(2020), Vol. 6, pp. 514-523, Digital communications and networks, Amsterdam, The Netherlands, C1
A Novel Video Emotion Recognition System in the Wild Using a Random Forest Classifier
N Samadiani, G Huang, W Luo, Y Shu, R Wang, T Kocaturk
(2020), Vol. 1179, pp. 275-284, ICDS 2019 : Data science : 6th international conference, ICDS 2019, Ningbo, China, May 15-20, 2019, revised selected papers, Ningbo, China, E1
Short Text Similarity Measurement Using Context from Bag of Word Pairs and Word Co-occurrence
S Yang, G Huang, B Ofoghi
(2020), Vol. 1179, pp. 221-231, ICDS 2019 : Data science : 6th international conference, ICDS 2019, Ningbo, China, May 15-20, 2019, revised selected papers, Ningbo, China, E1
Dynamic Clustering of Stream Short Documents Using Evolutionary Word Relation Network
S Yang, G Huang, X Zhou, Y Xiang
(2020), Vol. 1179, pp. 418-428, ICDS 2019 : Data science : 6th International Conference, ICDS 2019, Ningbo, China, May 15-20, 2019, revised selected papers, Ningbo, China, E1
Flexible Shapelets Discovery for Time Series Classification
B Cai, G Huang, M Angelova Turkedjieva, Y Xiang, C Chi
(2020), Vol. 1179, pp. 211-220, ICDS 2019 : Data science : 6th International Conference, ICDS 2019, Ningbo, China, May 15-20, 2019, revised selected papers, Ningbo, China, E1
A fuzzy theory based topological distance measurement for undirected multigraphs
J He, J Chen, G Huang, M Guo, Z Zhang, H Zheng, Y Li, R Wang, W Fan, C Chi, W Ding, P De Souza, B Chen, R Li, J Shang, A Van Zundert
(2020), pp. 1-10, FUZZ-IEEE : 2020 IEEE International Conference on Fuzzy Systems, Glasgow, Scotland, E1
Clustering Hashtags Using Temporal Patterns
B Cai, G Huang, S Yang, Y Xiang, C Chi
(2020), Vol. 12342, pp. 183-195, WISE 2020 : Proceedings of the International Conference on Web Information Systems Engineering, Amsterdam, The Netherlands, E1
Happy Emotion Recognition in Videos Via Apex Spotting and Temporal Models
Najmeh Samadiani, Guangyan Huang
(2020), pp. 1-6, WI-IAT : Proceedings of the 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, Online from Melbourne, Victoria, E1
A general model for fuzzy decision tree and fuzzy random forest
H Zheng, J He, Y Zhang, G Huang, Z Zhang, Q Liu
(2019), Vol. 35, pp. 310-335, Computational Intelligence, C1
P Shi, G Li, Y Yuan, G Huang, L Kuang
(2019), Vol. 157, pp. 329-338, Computers and electronics in agriculture, Amsterdam, The Netherlands, C1
A review on automatic facial expression recognition systems assisted by multimodal sensor data
N Samadiani, G Huang, B Cai, W Luo, C Chi, Y Xiang, J He
(2019), Vol. 19, Sensors (Switzerland), Switzerland, C1
R Zarei, J He, S Siuly, G Huang, Y Zhang
(2019), Vol. 2019, BioMed Research International, United States, C1
Dynamic optimisation based fuzzy association rule mining method
H Zheng, J He, G Huang, Y Zhang, H Wang
(2019), Vol. 10, pp. 2187-2198, International journal of machine learning and cybernetics, Berlin, Germany, C1
Enhanced smart meter privacy protection using rechargeable batteries
M Hossain, I Natgunanathan, Y Xiang, L Yang, G Huang
(2019), Vol. 6, pp. 7079-7092, IEEE internet of things journal, Piscataway, N.J., C1
Discovering topic representative terms for short text clustering
S Yang, G Huang, B Cai
(2019), Vol. 7, pp. 92037-92047, IEEE Access, Piscataway, N.J., C1
Community enhanced record linkage method for vehicle insurance system
C Lu, G Huang, Y Xiang
(2019), Vol. 11888, pp. 761-776, ADMA 2019 : Proceedings of Advanced Data Mining and Applications 15th International Conference , Dalian, China, Dalian, China, E1
MSIM: a change detection framework for damage assessment in natural disasters
D Qin, X Zhou, W Zhou, G Huang, Y Ren, B Horan, J He, N Kito
(2018), Vol. 97, pp. 372-383, Expert Systems with Applications, Oxford, Eng., C1
Clustering of multiple density peaks
B Cai, G Huang, Y Xiang, J He, G Huang, K Deng, X Zhou
(2018), Vol. 10939, pp. 413-425, PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference, Melbourne, Victoria, E1
Development status and trends of wearable smart devices on wrists
Y Li, J He, G Huang, Z Xie
(2018), Vol. 10971, pp. 119-129, ICCC 2018 : Proceedings of the International Conference on Cognitive Computing 2018, Seattle, Wash., E1
Query expansion based on semantic related network
L Guo, X Su, L Zhang, G Huang, X Gao, Z Ding
(2018), Vol. 11013, pp. 19-28, PRICAI 2018: Trends in artificial intelligence : Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, E1
Enhancing online video recommendation using social user interactions
X Zhou, L Chen, Y Zhang, D Qin, L Cao, G Huang, C Wang
(2017), Vol. 26, pp. 637-656, VLDB journal, Berlin, Germany, C1
Searching time period-based longest frequent path in big trajectory data
X Gao, L Guo, G Huang, Z Ding, Y Wu, B Cai, X Meng, J Chen
(2017), pp. 1461-1468, Proceedings, the Eighteenth IEEE International Conference on High Performance Computing and Communications : the Fourteenth IEEE International Conference on Smart City ; the Second IEEE International Conference on Data Science and Systems : HPCC/SmartCity/DSS 2016 : 12-14 December 2016, Sydney, Australia, Sydney, Australia, E1
Modeling user preferences on spatiotemporal topics for point-of-interest recommendation
S Yang, G Huang, Y Xiang, X Zhou, C Chi
(2017), pp. 204-211, SCC 2017 : Proceedings of the IEEE 14th International Conference on Services Computing 2017, Honolulu, Hawaii, E1
Discovery of stop regions for understanding repeat travel behaviors of moving objects
G Huang, J He, W Zhou, G Huang, L Guo, X Zhou, F Tang
(2016), Vol. 82, pp. 582-593, Journal of computer and system sciences, Amsterdam, The Netherlands, C1
Towards anomalous diffusion sources detection in a large network
P Zhang, J He, G Long, G Huang, C Zhang
(2016), Vol. 16, pp. 1-24, ACM Transactions on Internet Technology, New York, N.Y., C1
R Zarei, J He, G Huang, Y Zhang
(2016), Vol. 50, pp. 93-102, Digital Signal Processing: A Review Journal, C1
Building cloud-based healthcare data mining services
P Zhang, S Hu, J He, Y Zhang, G Huang, J Zhang
(2016), pp. 459-466, SCC 2016 : Proceedings of the 13th IEEE International Conference on Services Computing, San Francisco, California, E1
A data-packets-saving multi-agent scheduling of large online meetings
U Ali, G Huang
(2016), Vol. 9877, pp. 471-475, ADC 2016 : Database Theory and Applications : Proceedings of the 27th Australasian Database Conference 2016, Sydney, New South Wales, E1
Building computational virtual reality environment for anesthesia
X Cao, P Zhang, J He, G Huang
(2015), Vol. 9208, pp. 151-158, Data science: second international conference , ICDS 2015 Sydney, Australia, August 8-9, 2015 proceedings, Berlin, Germany, B1
Speedup of Big Data Transfer on the Internet
G Huang, G Huang, W Zhou, W Zhou, J He, J He
(2015), pp. 139-156, Networking For Big Data, B1
Mining streams of short text for analysis of world-wide event evolutions
G Huang, J He, Y Zhang, W Zhou, H Liu, P Zhang, Z Ding, Y You, J Cao
(2015), Vol. 18, pp. 1201-1217, World wide web, Berlin, Germany, C1
SVD-based incremental approaches for recommender systems
X Zhou, J He, G Huang, Y Zhang
(2015), Vol. 81, pp. 717-733, Journal of computer and system sciences, Maryland Heights, MO, C1
Modelling semantics across multiple time series and its applications
Z Qiao, G Huang, J He, P Zhang, Y Zhang, L Guo
(2015), Vol. 85, pp. 27-36, Knowledge-based systems, Amsterdam, The Netherlands, C1
A graph-based model for context-aware recommendation using implicit feedback data
W Yao, J He, G Huang, J Cao, Y Zhang
(2015), Vol. 18, pp. 1351-1371, World wide web, Berlin, Germany, C1
Node-coupling clustering approaches for link prediction
F Li, J He, G Huang, Y Zhang, Y Shi, R Zhou
(2015), Vol. 89, pp. 669-680, Knowledge-based systems, Amsterdam, The Netherlands, C1
A data as a product model for future consumption of big stream data in clouds
G Huang, J He, C Chi, W Zhou, Y Zhang
(2015), pp. 256-263, SCC 2015: Proceedings of the 12th International Conference on Services Computing, New York, New York, E1
Building the computational virtual reality environment for anaesthetists' training and practice
J He, R Zarei, J Cao, K Taraporewalla, M Steyn, A Van Zundert, G Huang, H Zhang, C Chi
(2015), pp. 242-248, SCC 2015: Proceedings of the 12th International Conference on Services Computing, New York, New York, E1
Online video recommendation in sharing community
X Zhou, L Chen, Y Zhang, L Cao, G Huang, C Wang
(2015), pp. 1645-1656, SIGMOD 2015 : Proceedings of the ACM International Conference on Management of Data, Melbourne, Victoria, E1
L Guo, G Huang, X Gao, J He, B Wu, H Guo
(2015), pp. 9-17, AAAI 2015 : Proceedings from the AAAI Conference on Artificial Intelligence Workshop, Austin, Texas, E1
G Huang, J He, Y Zhang
(2014), Vol. 9781461475354, pp. 605-629, Advanced Web Services, Berlin, Germany, B1-1
Wireless sensor networks for heritage object deformation detection and tracking algorithm
Z Xie, G Huang, R Zarei, J He, Y Zhang, H Ye
(2014), Vol. 14, pp. 20562-20588, Sensors, Basel, Switzerland, C1
Online mining abnormal period patterns from multiple medical sensor data streams
G Huang, Y Zhang, J Cao, M Steyn, K Taraporewalla
(2014), Vol. 17, pp. 569-587, World Wide Web, C1-1
Z Huang, C Liu, J He, G Huang
(2014), Berlin, Germany, A7-1
Modeling dual role preferences for trust-aware recommendation
W Yao, J He, G Huang, Y Zhang
(2014), pp. 975-978, SIGIR 2014 : Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, Gold Coast, Queensland, E1
Optimized fuzzy association rule mining for quantitative data
H Zheng, J He, G Huang, Y Zhang
(2014), pp. 396-403, FUZZ-IEEE 2014 : Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, Beijing, China, E1-1
Efficient detection of emergency event from moving object data streams
L Guo, G Huang, Z Ding
(2014), Vol. 8422, pp. 422-437, 19th International Conference, DASFAA 2014, Bali, Indonesia, April 21-24, 2014. Proceedings, Part II, Bali, Indonesia, E1-1
A clique-based WBAN scheduling for mobile wireless body area networks
Z Xie, G Huang, J He, Y Zhang
(2014), Vol. 31, pp. 1092-1101, ITQM 2014 : Proceedings of the 2nd International Conference on Information Technology and Quantitative Management, Moscow, Russia, E1-1
SoRank: incorporating social information into learning to rank models for recommendation
W Yao, J He, G Huang, Y Zhang
(2014), pp. 409-410, WWW 2014 : Proceedings of the 23rd International Conference on World Wide Web, Seoul, Korea, E1-1
J He, Y Zhang, G Huang, P de Souza
(2013), Vol. 38, pp. 1234-1251, Information systems, Amsterdam, The Netherlands, C1-1
A Haller, G Huang, Z Huang, H-Y Paik, Q Sheng
(2013), Combined Workshops on Web Information Systems Engineering, WISE 2011 and WISE 2012, A7-1
Discovering semantics from multiple correlated time series stream
Z Qiao, G Huang, J He, P Zhang, L Guo, J Cao, Y Zhang
(2013), Vol. 7819, pp. 509-520, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II, Gold Coast, Qld., E1-1
A real-time abnormality detection system for intensive care management
G Huang, J He, J Cao, Z Qiao, M Steyn, K Taraporewalla
(2013), pp. 1376-1379, ICDE 2013: Proceedings of the 29th International Conference on Data Engineering, Brisbane, Qld., E1-1
GEAM: A general and event-related aspects model for Twitter event detection
Y You, G Huang, J Cao, E Chen, J He, Y Zhang, L Hu
(2013), Vol. 8181, pp. 319-332, Web Information Systems Engineering - WISE 2013, Nanjing, China, E1-1
Personalized recommendation on multi-layer context graph
W Yao, J He, G Huang, J Cao, Y Zhang
(2013), Vol. 8180, pp. 135-148, Web Information Systems Engineering - WISE 2013, Nanjing, China, E1-1
Leveraging visual features and hierarchical dependencies for conference information extraction
Y You, G Xu, J Cao, Y Zhang, G Huang
(2013), Vol. 7808, pp. 404-416, Web Technologies and Applications, Sydney, N.S.W., E1-1
Mathematical-morphology-based edge detection of retinal vessels in retinal images
Z Jiang, Y Zhang, J He, G Huang, J Yang
(2013), Vol. 7798, pp. 265-268, Second International Conference, HIS 2013, London, UK, March 25-27, 2013. Proceedings, London, Eng., E1-1
J He, Y Zhang, G Huang, Y Shi, J Cao
(2012), Vol. 78, pp. 1345-1358, Journal of computer and system sciences, Amsterdam, The Netherlands, C1-1
Exceptional object analysis for finding rare environmental events from water quality datasets
J He, Y Zhang, G Huang
(2012), Vol. 92, pp. 69-77, Neurocomputing, Amsterdam, The Netherlands, C1-1
A smart web service based on the context of things
J He, Y Zhang, G Huang, J Cao
(2012), Vol. 11, pp. 1-23, ACM transactions on internet technology, New York, N.Y., C1-1
X Zhou, J He, G Huang, Y Zhang
(2012), Vol. 2, pp. 458-464, WI-IAT 2012: Proceedings of the 11th IEEE/WIC/ACM International Conference on Intelligent Agent Technology, Macau, China, E1-1
Predicting driving direction with weighted markov model
B Mao, J Cao, Z Wu, G Huang, J Li
(2012), Vol. 7713, pp. 407-418, Advanced Data Mining and Applications, Nanjing, China, E1-1
Z Qiao, J He, J Cao, G Huang, P Zhang
(2012), Vol. 7235, pp. 294-305, 14th Asia-Pacific Web Conference, APWeb 2012, Kunming, China, April 11-13, 2012. Proceedings, Kunming, China, E1-1
An association rule analysis framework for complex physiological and genetic data
J He, Y Zhang, G Huang, Y Xin, X Liu, H Zhang, S Chiang, H Zhang
(2012), Vol. 7231, pp. 131-142, First International Conference, HIS 2012, Beijing, China, April 8-10, 2012. Proceedings, Beijing, China, E1-1
Fault tolerance in data gathering wireless sensor networks
G Huang, Y Zhang, J He, J Cao
(2011), Vol. 54, pp. 976-987, The Computer Journal, Oxford, Eng., C1-1
G Huang, Y Zhang, J He, Z Ding
(2011), Vol. 6634, pp. 375-386, Advances in Knowledge Discovery and Data Mining, Shenzheng, China, E1-1
J He, Y Zhang, Y Shi, G Huang
(2010), Vol. 22, pp. 826-838, IEEE transactions on knowledge and data engineering, Berlin, Germany, C1-1
J He, Y Zhang, G Huang, C Pang
(2009), Vol. 21, pp. 2070-2083, Concurrency computation practice and experience, London, Eng., C1-1
Real-time traffic flow statistical analysis based on network-constrained moving object trajectories
Z Ding, G Huang
(2009), Vol. 5690, pp. 173-183, Database and Expert Systems Applications, Linz, Austria, E1-1
Y Ishikawa, J He, G Xu, Y Shi, G Huang, C Pang, Q Zhang, G Wang
(2008), Berlin, Germany, A7-1
Wireless video-based sensor networks for surveillance of residential districts
G Huang, J He, Z Ding
(2008), Vol. 4976, pp. 154-165, Progress in WWW Research and Development, Chenyang, China, E1-1
G Huang, J He, Z Ding
(2008), pp. 442-446, WI-IAT 2008: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, Sydney, N.S.W, E1-1
Data mining via minimal spanning tree clustering for prolonging lifetime of wireless sensor networks
G Huang, X Li, J He, X Li
(2007), Vol. 6, pp. 235-251, International journal of information technology and decision making, Singapore, C1-1
J He, Y Zhang, G Huang, Y Shi
(2007), pp. 352-357, ICIS 2007: Proceedings of the 6th IEEE/ACIS International Conference on Computer and Information Science, Melbourne, Victoria, E1-1
Cluster analysis and optimization in color-based clustering for image abstract
J He, G Huang, Y Zhang, Y Shi
(2007), pp. 213-218, ICDMW 2007: Proceedings of the 7th IEEE International Conference on Data Mining, Omaha, Nebraska, E1-1
Automatic generation of traditional style painting by using density-based color clustering
G Huang, Z Ding, J He
(2007), pp. 41-44, ICDMW 2007: Proceedings of the 7th IEEE International Conference on Data Mining, Omaha, Neb., E1-1
G Huang, X Li, J He
(2006), Vol. 3992, pp. 1069-1072, ICCS06: Proceedings of the 6th International Conference on Computer Sciences, Reading, Eng., E1-1
Dynamic minimal spanning tree routing protocol for large wireless sensor networks
G Huang, X Li, J He
(2006), Vol. 1, pp. 1669-1673, ICIEA 2006: Proceedings of the 1st IEEE Conference on Industrial Electronics and Applications, Singapore, E1-1
Energy-efficiency analysis of cluster-based routing protocols in wireless sensor network
G Huang, X Li, J He
(2006), Vol. 1, pp. 2379-2386, Proceedings of IEEE Aerospace Conference 2006, Big Sky, Mont., E1-1
A state machine for detecting c/c++ memory faults
G Huang, G Zhang, X Li, Y Gong
(2005), pp. 1-6, ATS'05: Proceedings of the 14th IEEE Asian Test Symposium, Kolkata, India, E1-1
Variable integrity testing of software
G Huang, X Li
(2004), Vol. 16, pp. 1584-1589, Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, China, C1-1
Funded Projects at Deakin
Australian Competitive Grants
Mining Patterns and Changes of Wave Shapes for Efficiently Que ying Periodic Data Streams - Dr Guangyan Huang
A/Prof Guangyan Huang
ARC DECRA - Discovery Early Career Researcher Award
- 2016: $124,133
- 2015: $122,059
- 2014: $119,910
Deep Data Mining for Anomaly Prediction from Sensor Data Streams
Prof Yanchun Zhang, A/Prof Guangyan Huang
ARC - Discovery Projects
- 2016: $1,700
Sensor Stream Pattern Mining for Automatic Anomaly Recognition/Intervention
A/Prof Guangyan Huang
ARC - Discovery Projects
- 2021: $124,077
- 2020: $128,884
- 2019: $117,449
Other Public Sector Funding
Adaptive Cyber Threat Ontology Construction through Knowledge Graph Embedding.
A/Prof Guangyan Huang, Prof Chi-Hung Chi
Data61
- 2020: $5,672
- 2019: $12,150
Supervisions
Junfeng Wu
Thesis entitled: Emerging Pattern Mining from Scientific Publications for Frontier Topic Prediction
Doctor of Philosophy (Information Technology), School of Information Technology
Najmeh Samadiani
Thesis entitled: Emotion Recognition in Unconstrained Facial Videos by Learning Reliable Features
Doctor of Philosophy (Information Technology), School of Information Technology
Chuan Christian Lu
Thesis entitled: Record Linkage in Sparse Encounter Network
Master of Science (Information Technology), School of Information Technology
Borui Cai
Thesis entitled: Temporal Pattern Mining Using Flexible Wave Shapes on Time Series
Doctor of Philosophy (Information Technology), School of Information Technology
Shuiqiao Yang
Thesis entitled: Discovering Core Terms for Effective Short Text Clustering
Doctor of Philosophy (Information Technology), School of Information Technology
Mohammad Belayet Hossain
Thesis entitled: Privacy Enhancement in Smart Meters
Doctor of Philosophy (Information Technology), School of Information Technology
Dinesh Nagumothu
Thesis entitled: Enhancing Document Relevance Classification, Question Generation, and Passage Re-ranking using Semantic Triples
Doctor of Philosophy (Information Technology), School of Information Technology
Hui Yin
Thesis entitled: Deep learning based online short text analysis
Doctor of Philosophy (Information Technology), School of Information Technology