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Professor of Artificial Intelligence Chair of Research and International, School of Natural and Computational
Sciences (SNCS), Private Bag 102-904, North Shore Mail
Centre Auckland, New Zealand Phone: +64-9-2136258 Mobile: ask
me Free Phone:
0800-Massey (ext. 43258) Director of Language and Speech Processing |
|
Curriculum Vita | Publications | Projects |
Scholarships |Research | Click onto Science | PhD thesis | Photos |
|
Natural
language and Speech processing |
Please feel free to contact me if we can work collaboratively in
any area. |
Artificial intelligence and its
applications
·
Speech Processing (e.g., Maori Speech Recognition, Speech Emotion)
·
Image Processing (e.g.,
Human Action Recognition, video captioning)
·
Language Processing (e.g.
sentiment analysis, machine translation)
·
Data Mining/Big data
·
Video processing
and Computer Vision
Master or
PhD students in Computer Science and Information Technology:
We are looking for postgraduate research students. If you have a
background in any of the following areas: Computer Science, Information
Technology/Science, Electronic or Electrical Engineering, Mechatronic
Engineering, Physics, Mathematics, Finance, or other Engineering (e.g., Bio-engineering, Mechanical, Civil), you are welcome to
study your Master degree or PhD with me. You can study with us to get a PhD in
Computer Science or Information Technology. If you can have your own
scholarship, you are more than welcome.
If you have got first class degree(s) and excellent academic records
(GPA of A- or above), please contact me directly. I am willing to help you to
achieve your goal and help you to obtain a
scholarship. Projects offered will be flexible. TOP, TOP, Plus!!! If you can obtain the – Top
Achiever Scholarship, Massey VC-PhD scholarship, Massey PhD Scholarship, Massey
Masterate Scholarship, New Zealand International Doctoral Research
Scholarships, CSC PhD scholarships or any other scholarships, we will TOP it up with some additional financial assistance plus financially support for you to attend
international conferences. If you need any assistance to apply for these scholarships, please
contact me by email or phone or WeChat.
PhD
Scholarships:
I am the chief supervisor of the following PhD
students:
1.
Mr Satwinder Singh,
enrolled as PhD candidate in 2018 at Massey University
2.
Ms Yujun Ma, enrolled
as PhD candidate in 2020 at Massey University, CSC
(Chinese Scholarship Council) PhD Scholarship Recipient
3.
Mr Yuan Gao, enrolled as PhD candidate in
01/08/2021. Massey University PhD scholarship
recipient
4.
Mr Guoqing Zhang, enrolled as PhD
candidate in 01/07/2021.
5.
Ms Yi Wang, enrolled as PhD candidate in
01/06/2021
6.
Mr Zhihan Wang, enrolled as PhD candidate on 01/02/2022. Massey
University Vice-Chancellor's
Doctoral Scholarship recipient.
7.
Ms. Ting Guo, enrolled as PhD candidate on
01/03/2022.
8.
Mr Jiang Tao, enrolled as PhD candidate on 01/08/2022 Massey
University Doctoral Scholarship recipient
I am a co-supervisor of the following PhD students:
9.
Yuanyuan Wei, Massey
University
Graduated research students:
I have
supervised 27 PhD students to completion.
Here are some examples:
1.
Dr Zhizhong Ma, CSC (Chinese
Scholarship Council) PhD Scholarship Recipient, graduated in 2022.
2. Dr Yuanhang Qiu, CSC (Chinese Scholarship Council) PhD
Scholarship Recipient, graduated in 2022.
3. Dr Ming Zong, New Zealand Government CSC PhD
Scholarship Recipient, graduated in 2021, Postdoc Fellow at Peking University
4.
Dr Sophia Xiaoyun
Jia, graduated in 2021, Sophia completed her PhD in 2
years and 10 months. Lecturer at Shandong University
5.
Dr Feng Hou,
graduated in 2021. Research Fellow at Massey University. Feng completed his PhD
in 2 years and 6 months.
6. Dr Wanting, Ji, CSC (Chinese
Scholarship Council) PhD Scholarship Recipient, graduated in 2020, Lecturer at
Liaoning University.
7.
Dr. Junbo Ma,
graduated in 2019, supported by my Marsden grant, research fellow at University
of North Carolina at Chapel Hill, USA.
9.
Dr Frank Luofeng XU, Massey University
(graduated in 2012), Massey PhD Scholarship Recipient, senior lecturer at
Southern Institute of Technology, New Zealand.
10. Dr Norliza Katuk (Liza) Massey University (graduated in 2011), Malaysian Government PhD Scholarship Recipient. Liza
completed her PhD in 2 years and 10 months.
11. Dr Matthew Mingzhe LIU (graduated in 2011), PhD student Massey PhD Scholarship Recipient
(I was the chief supervisor of his PhD (till 2009) and master’s degree, Matthew
published over 12 journal papers with me). Now, he is a professor and the Head
of School of Chengdu University of Science and Technology
12. Dr Jingli Lu, Massey University
(graduated in 2010), the R&D Fellowship (PhD Scholarship) Recipient. Jingli completed her
PhD in 3 years and 4 months and published 3 journal papers and 2 conference
papers with me), researcher in AgResearch, New Zealand
I was the
supervisor for the following master’s students:
Zhihan Wang (2021), Jian Tao (2021), Weiqiang Tang (2021), Yuan Gao
(2021), Jian Lu (2021), Eva Zhen (2019), Yuejie Xiao (2018), Fangfei Du (2018),
Rawan Jaber (2017), Mohammed N Almujil (2016), Fei Wang (2014), Mingzhe Liu
(2005), Donn Morrison (2005)
·
Funding (In total over $5 million)
·
$3,000,000 Catalyst Strategic - New Zealand Singapore
Data Science Research Programme Fund, (regarding New
Zealand Singapore Data Science Research Programme Fund, please refer to MBIE
website) (2020-2023)
·
$10,000 Marsden
Funding Application Support Fund (2020)
·
$10,000 Marsden
Funding Application Support Fund (2019)
·
$10,000 Massey
University Research Fund (2018)
·
$10,000 Massey University Research Awards,
Strategic Research Excellence Fund (2017)
·
$200,000 (plus GST)
NSC Science for Technological Innovation (SfTI) Seed Projects 2017. “Novel
Approaches for Impaired-Speech Recognition” (2017-2019).
·
Marsden
Fund $668,000(plus GST) “No Longer Lost in
Recognition: Development of Novel Large‐Vocabulary Continuous Speech Recognition Techniques” (2014-2018)
·
Research Contract $113,008
(2014-2015)
·
Voice Profiling, $26,000,
Foundation of Science Research and Technology (FSRT), New Zealand (NZ)
·
Event-driven Workflow
Engine, $93,000, FSRT, NZ
·
From Parallel to Grid
Computing, $10,950, Fund for Innovation and Excellence in Teaching (FIET),
Massey University, NZ
·
Speech Processing for
Language Learning, $93,000, FRST, NZ
·
Modelling and
Controlling Traffic Flow, $14,178, Massey University Research Fund (MURF),
Massey University, NZ
·
Using Mobile Phones
to Teach Foreign Language, $999, Institute of Information Sciences and
Technology, Massey University
·
Modelling and
Controlling Heterogenous Traffic Flow, $16,875, funded under the ASIA 2000
Foundation High Education Exchange Programme (HEEP)
·
Developing an Intelligent
Tutoring System for Legal Arguments, $1,600, IIST, Massey
·
Development of An
Intelligent Tutoring System for Legal Argumentation Skills, $9,000, Fund for
Innovation and Excellence in Teaching(FIET), Massey
University (2006)
·
Massey University International
Visitor Research Funds $8,550 (2006-2009) for Prof. Wensheng Zhang (CSA),
A/Prof. Rui Jiang (USTC), Prof. Yang Gao (Nanjing Uni), Prof. Chengqi Zhang
(UTS) and A/Prof. Maobin HU (USTC)
·
Development of An
Intelligent Tutoring System for Legal Argumentation Skills, $8.100, Fund for
Innovation and Excellence in Teaching(FIET), Massey
University (2007)
·
Modelling
Intracellular Transport: Movement of Molecular Motors, $12,500, Massey
University Research Fund (MURF), Massey University (2007).
·
RMB 100,000 (about NZ$28,000)
Modelling Transport Systems in Biological Systems and Logistical Systems, State
Key Laboratory for Novel Software Technology, Nanjing University, Nanjing,
China (2008)
·
….
Jointly (as co-PI)
1.
R Wang, F Hou, S Cahan, L Chen, X Jia, W Ji (2022) Fine-Grained Entity Typing
with a Type Taxonomy: a Systematic Review,
IEEE Transactions on Knowledge and Data Engineering, PDF file
2. K Lyu, H Chen, Z Liu,
B Zhang, R Wang*,(2022) 3D human
motion prediction: A survey, Neurocomputing 489, 345-365. [PDF file]
3. Q Jiang, X Zhou, R
Wang*, W Ding, et al. (2022), Intelligent
monitoring for infectious diseases with fuzzy systems and edge computing: A
survey, Applied Soft Computing, 108835 [PDF file]
4. T Liu, Y Ma, W Yang, W
Ji, R Wang*, P Jiang (2022) Spatial-temporal
interaction learning based two-stream network for action recognition,
Information Sciences,
l606, 864-876 [PDF file]
5. Y Qiu, R Wang, F Hou,
S Singh, Z Ma, X Jia (2022) Adversarial
multi-task learning with inverse mapping for speech enhancement, Applied Soft Computing
120, 108568 [PFD file]
6. Y Li, X Jia, R Wang, J
Qi, H Jin, X Chu, W Mu (222) A new
oversampling method and improved radial basis function classifier for customer
consumption behavior prediction, Expert Systems with Applications 199, 116982. [PFD file]
7. W Ji, R Wang*, Y Tian,
X Wang (2022) An
attention based dual learning approach for video captioning, Applied Soft Computing
117, 108332. [PFD file]
8.
X Jia, R Wang, JH Liu, C Jiang (2022) Discovery of behavioral patterns in online
social commerce practice, Wiley Interdisciplinary Reviews: Data Mining and
Knowledge Discovery, e1433
9.
J. Yin, R. Wang (corresponding author), Y.
Guo, Y. Bai, S. Ju, W. Liu, and J. Z. Huang (2021) Wealth Flow Model: Online Portfolio
Selection based on Learning Wealth Flow Matrices, ACM Transactions on
Knowledge Discovery from Data, Vol. 16, No. 2.
10. W Ji, Y Pang, X Jia, Z
Wang, F Hou, B Song, M Liu, R Wang (corresponding author) (2021) Fuzzy rough sets and fuzzy rough neural
networks for feature selection: A review, Wiley Interdisciplinary
Reviews: Data Mining and Knowledge Discovery, e1402.
11. G Li, X Ren, J Wu, W Ji, H
Yu, J Cao, R Wang (2021) Blockchain-based
mobile edge computing system, Information Sciences, Volume 561,
Pages 70-80. https://doi.org/10.1016/j.ins.2021.01.050 (CORE rank A)
12. P Shamsolmoali, M
Zareapoor, E Granger, H Zhou, R Wang, ME Celebi, Jie Yang (2021) Image Synthesis with Adversarial Networks: a Comprehensive
Survey and Case Studies, Information Fusion, Volume 72, Pages 126-146. (ERA rank A)
13. M Zong, R Wang, Z
Chen, M Wang, X Wang, J Potgieter (2021)
Multi-cue based 3D residual network for action recognition, Neural
Computing and Applications, 33, pages5167–5181.
14. J. Yin, R. Wang
(corresponding author), S. Ju, Y. Bai, J. Z. Huang (2020) An Asymptotic Statistical Learning
Algorithm for Prediction of Key Trading Events, IEEE Intelligent Systems,
Volume: 35, Issue: 2, Page(s): 25 - 35
https://doi.org/10.1109/MIS.2020.2977590. (CORE rank A)
15. H. Zheng, R. Wang (corresponding
author), W. Ji, M. Zong, W. K. Wong, Z. Lai and H. Lv. (2020) Discriminative deep multitask learning for
facial expression recognition. Information Sciences, Vol 533, Pages
60-71. https://doi.org/10.1016/j.ins.2020.04.041 (CORE rank A)
16. K. Gai, Z. Fang, R. Wang
(corresponding author), L. Zhu, P. Jiang, and K.-K. R. Choo (2021) Edge Computing and Lightning Network
Empowered Secure Food Supply Management, IEEE Internet of Things Journal,
https://doi.org/10.1109/JIOT.2020.3024694
17. R Wang, W Ji (2020) Computational intelligence for
information security: A survey. IEEE Transactions on Emerging
Topics in Computational Intelligence, Vol: 4 (5), 616 – 629. https://doi.org/10.1109/TETCI.2019.2923426
18. Z. Chen, R. Wang (corresponding
author) et al. (2020) Spatial-temporal
multi-task learning for salient region detection, Pattern Recognition
Letters, Vol. 132, Pages 76-83. https://doi.org/10.1016/j.patrec.2018.10.019.
19. Z Liu, Z Li, R Wang,
M Zong, W Ji (2020) Spatiotemporal
saliency-based multi-stream networks with attention-aware LSTM for action
recognition, Neural Computing and Applications 32 (18), 14593-14602.
20. M Liu, X Jiang, F Zhao, X
Feng, R Wang (2020) A Fast Adaptive
Blockchain Consensus Algorithm via Wlan Mesh Network. Journal of
Internet Technology, 21 (2): 523-533
21. W. Zhong, X. Yin, X. Zhang,
S. Li, W. Dou, R. Wang, L. Qi (2020) Multi-dimensional quality-driven service
recommendation with privacy-preservation in mobile edge environment,Computer Communications.
https://doi.org/10.1016/j.comcom.2020.04.018 Vol. 157 Pages 116-123.
22. P Shamsolmoali, M.
Zareapoor, H. Zhou, R. Wang, and J.
Yang (2020) Road Segmentation for
Remote Sensing Images using Adversarial Spatial Pyramid Networks, IEEE
Transactions on Geoscience and Remote Sensing, Vol: 59 (: 6), Page(s): 4673
– 4688,
https://doi.org/10.1109/TGRS.2020.3016086 (ERA rank A)
23. L Wang, X Zhang, R Wang, C
Yan, H Kou, L Qi (2020) Diversified
service recommendation with high accuracy and efficiency, Knowledge-Based
Systems, Volume 204, 106196. https://doi.org/10.1016/j.knosys.2020.106196
24. L. Qi, R. Wang et al. (2019) Time-aware
distributed service recommendation with privacy-preservation. Information Sciences, 480 (2019):
354-364.
25. M. He, M. Liu, R. Wang et al. (2019) Particle swarm optimization with damping
factor and cooperative mechanism. Applied
Soft Computing, 76: 45-52.
26. Y. Tian, X. Wang, J. Wu, R. Wang et al. (2019) Multi-scale Hierarchical Residual Network
for Dense Captioning. Journal of
Artificial Intelligence Research, 64 (2019): 181-196.
27.
M. Liu, M. He, R.
Wang et al. (2019) A new local density and relative distance
based spectrum clustering.
Knowledge and Information Systems. https://doi.org/10.1007/s10115-018-1316-5.
29.
R. Wang et al. (2018) Review on mining data from multiple data
sources, Pattern Recognition Letters, 109(15): 120-128.
30. R. Wang et al. (2018) Durable relationship prediction and
description using a large dynamic graph, World Wide Web, 21(6): 1575-1600. (ERA rank A)
31. R. Wang et al. (2018) Unsupervised feature selection based on
self-representation and subspace learning, World Wide Web, 21(6):
1745-1758. (ERA rank A)
32. J. Ma, R. Wang (corresponding author) et al. (2018) Robust multi-view continuous subspace
clustering, Pattern Recognition Letters, https://doi.org/10.1016/j.patrec.2018.12.004.
33. W. Ji, R. Wang (corresponding author) et al. (2018) Dictionary-based
active learning for sound event classification, Multimedia Tools and
Applications, vol. 78, no. 3, pp. 3831-3842.
34. J. Ma, R. Wang (corresponding author) et al. (2018) Relational recurrent
neural networks for polyphonic sound event detection, Multimedia Tools and
Applications, https://doi.org/10.1007/s11042-018-7142-7.
35. S. Zhang, X. Li, M. Zong,
X. Zhu, R. Wang (2018) Efficiency kNN Classification with
Different Numbers of Nearest Neighbors, IEEE Transactions on Neural
Networks and Learning Systems, vol. 29, no. 5, pp. 1774-1785. (ERA rank A*)
36. Y. Yu, Y. Gao, H. Wang, R. Wang (2018) Joint user knowledge and matrix factorization
for recommender systems, World Wide Web, 21(4): 1141-1163. (ERA rank A)
37. L. Qi, S. Meng, X. Zhang, R. Wang (2018) An exception handling approach for
privacy-preserving service recommendation failure in a cloud environment.
Sensors, 18(7): 2037.
38. X. Jiang, M. Liu, K. Yang,
Y. Liu and R. Wang (2018) A security sandbox approach of android
based on hook mechanism, Security and Communication Networks, Volume 2018,
Article ID 985653, https://doi.org/10.1155/2018/9856537.
39. X. Liang, R. Wang et al. (2018) Hybrid conditional random field based camera-LIDAR fusion for road detection, Information Sciences, 432: 543-558. (ERA rank B)
40. B. Sadeghi, R. Yu, R. Wang (2018) Shifting interpolation kernel toward
orthogonal projection, IEEE
Transactions on Signal Processing, 66(1): 101-112. (ERA rank
A*)
41.
Y. Zhu, X. Zhang, R. Wang et al. (2018) Self-representation and PCA embedding for
unsupervised feature selection. World Wide Web, 21(6): 1675-1688.
44.
S. Zhang, X. Li, M. Zong, X. Zhu, and R. Wang (2017) Efficiency kNN Classification with
Different Numbers of Nearest Neighbors
IEEE Transactions on Neural Networks
and Learning Systems (ERA rank A*)
http://dx.doi.org/10.1109/TNNLS.2017.2673241
45.
C. Wei, R.
Wang (corresponding author) et al. (2016) Plane-based Scan Registration with Moving
Vehicles Exclusion Vol.83, Pages 261–274,
Robotics and Autonomous
Systems (ERA
rank A). http://dx.doi.org/10.1016/j.robot.2016.05.007
46.
T. Chen, R.
Wang, B. Dai, D. Liu and J. Song (2016)
Likelihood-field-model-based Dynamic
Vehicle Detection and Tracking for Self-driving, Vol. 17 (11) page
3142-3158
IEEE Transactions
on Intelligent Transportation Systems (ERA rank A) http://dx.doi.org/10.1109/TITS.2016.2542258
.
47.
H. Wang, Y. Gao, Y. Shi
and R. Wang (2016) Group-based Alternating Direction Method of
Multipliers for Distributed Linear Classification
IEEE Transactions
on Cybernetics (in press) (ERA rank A). http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7482805
Neural Computing and
Applications (in press) (ERA rank B). http://dx.doi.org/10.1007/s00521-016-2375-8
IEEE Transactions on Knowledge and Data
Engineering (ERA rank A) http://dx.doi.org/10.1109/TKDE.2014.2312322
50.
J. Guo, P. Yi, R. Wang, Q. Ye and C. Zhao (2014) Feature Selection for Least Squares
Projection Twin Support Vector Machine, Vol 144, Pages 174–183
Neurocomputing (ERA rank B), http://dx.doi.org/10.1016/j.neucom.2014.05.040
Journal of Intelligent and
Robotic Systems, Vol. 76, Issue 3, pp 563-582 http://link.springer.com/article/10.1007%2Fs10846-013-9889-4#
IEEE Transactions on Neural Networks and Learning Systems,Vol. (ERA rank: A*)http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6570737&tag=1
World Wide Web journal, Volume 16, Issue 4, pp 379-398, Springer (SCI,
Impact factor: 0.513; ERA ranking: A)
http://www.springerlink.com/content/n175r601q800g344/fulltext.pdf
or http://dx.doi.org/10.1007/s11280-012-0183-3
54.
Suryadevara, NK, Mukhopadhyay, SC., Wang, R., and Rayudu, RK. (2013).
Forecasting the behavior of an
elderly using wireless sensors data in a smart home
Engineering Applications of Artificial Intelligence. 26(10), 2641-2652. (ERA rank B)
http://dx.doi.org/10.1016/j.engappai.2013.08.004
Graph-oriented Learning via Automatic
Group Sparsity for Data Analysis
IEEE International Conference on Data Mining (IEEE-ICDM2012) (ERA
ranking: A conference)
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6413898 or http://dx.doi.org/10.1109/ICDM.2012.82
Speech Communication, Vol. 53 (2) Pages 175-184. Elsevier Science (Impact factor 1.229, SCI,
ERA ranking: A)
http://dx.doi.org/10.1016/j.specom.2010.08.015
Spontaneous symmetry breaking
on a multi-channel hollow cylinder
Physics Letters A, Vol. 375, Pages 318–323.
Elsevier Science (Impact factor 2.174, SCI, ERA ranking B).
http://dx.doi.org/10.1016/j.physleta.2010.11.006
An enhanced
fuzzy linear regression model with more flexible spreads
Fuzzy Sets and Systems, Vol. 160 (17), Pages
2505-2523 (Impact factor
1.373, SCI, ERA ranking: A).
http://dx.doi.org/10.1016/j.fss.2009.02.023
Mining class-bridge rules based on rough sets
Expert Systems with Applications, Vol.36 (3), Part 2, pp
6453-6460. Elsevier Science (Impact factor 1.177)
http://dx.doi.org/10.1016/j.eswa.2008.07.044
Asymmetric exclusion processes on m-input n-output
junction with parallel update,
Physica A.
Mathematics and Theoretical, Vol. 388 (19), Pages 4068-4074. (Impact factor
1.430, SCI, ERA ranking: A)
http://dx.doi.org/10.1016/j.physa.2009.05.048
Defect-induced transitions in synchronous
asymmetric exclusion processes
Physics Letters A 373, 195–200. Elsevier Science (Impact factor 2.174, SCI).
http://dx.doi.org/10.1016/j.physleta.2008.11.011
Pheromone routing protocol on a scale-free network,
Physics Review E, The American Physical Society. (Impact factor 2.483, SCI accepted, ERA
ranking: A)
Urban traffic simulated from the dual representation:
Flow, Crisis and Congestion.
Physics Letters A, Elsevier Science. (Impact
factor 2.174, SCI, in press)
http://dx.doi.org/10.1016/j.physleta.2009.04.014
Vol. 77, 051108 Physical Review E, (Statistical, Nonlinear, and Soft Matter Physics),
The American Physical Society. (Impact factor 2.438, SCI, ERA ranking: A)
Physica A (Statistical Mechanics and its Applications). Vol.
387, Issues 2-3, Pages 457-466 (16 pages).
http://dx.doi.org/10.1016/j.physa.2007.09.042
Elsevier Science (IF 1.430, SCI, EI, ERA ranking: A)
Ensemble methods for spoken emotion recognition in
call-centres (PDF)
Speech
Communication Vol. 49 (2007) pp. 98–112, Elsevier Science (IF
1.178, SCI, ERA ranking: A)
http://dx.doi.org/10.1016/j.specom.2006.11.004
Spontaneous
symmetry breaking and periodic structure in a multilane system,
Physical Review E, (Statistical, Nonlinear, and Soft Matter Physics) (IF 2.438, SCI, ERA ranking: A)
Vol. 76,
036116. (10 pages, http://dx.doi.org/10.1103/PhysRevE.76.036116
), The American Physical
Society.
A Knowledge
Representation Model for the Intelligent Retrieval of Legal Cases (PDF)
International Journal of Law and
Information Technology, Oxford Press.
http://dx.doi.org/10.1093/ijlit/eal023
Modeling Traffic Flow at a Single-lane
Urban Roundabout (PDF)
Computer
Physics Communications, Elsevier Science. (IF 1.644, SCI)
Vol. 147/1-2,
pp.570-576
(Last updated in 28/03/2016)