Researchers

Ching Man Au Yeung
Dr. Albert C. M. Au Yeung is a researcher of Noah's Ark Lab. He received his B.Eng. in Information Engineering and M.Phil. in Computer Science and Engineering from the Chinese University of Hong Kong. He obtained his Ph.D. degree in Electronics and Computer Science from the University of Southampton, U.K. Before joining Huawei, he was a research associate at the NTT Communication Science Laboratories in Kyoto, Japan, from Oct 2009 to Jul 2011, and was a senior engineer at the Hong Kong Science and Technology Research Institute (ASTRI) from Aug 2011 to Nov 2012. His research interests include social computing, social network analysis, recommendation systems, natural language processing, as well as data mining and machine learning in general. Recent publications:
  1. K. Duh, T. Hirao, A. Kimura, K. Ishiguro, T. Iwata, C. M. Au Yeung: Creating Stories: Social Curation of Twitter Messages. ICWSM 2012.
  2. C. M. Au Yeung, M. Noll, N. Gibbins, C. Meinel, N. Shadbolt: SPEAR: Spamming-Resistant Expertise Analysis and Ranking in Collaborative Tagging Systems. Computational Intelligence 27(3): 458-488, 2011.
  3. C. M. Au Yeung, K. Duh, M. Nagata: Providing Cross-Lingual Editing Assistance to Wikipedia Editors. CICLing (2) 2011: 377-389.
  4. C. M. Au Yeung, T. Iwata: Extracting multi-dimensional relations: a generative model of groups of entities in a corpus. CIKM 2011: 1203-1208.
  5. C. M. Au Yeung, A. Jatowt: Studying how the past is remembered: towards computational history through large scale text mining. CIKM 2011: 1231-1240.
Chen Jia
Dr. Jia Chen is a researcher of Noah's Ark Lab. He received his Ph.D. in Computer Science from the Hong Kong University of Science and Technology in 2009, and B.Eng. in Automation from Tsinghua University in 2003 respectively. He had worked in a startup company and then worked in Baidu, prior to joining Huawei. His research interests include computer vision, pattern recognition, and data mining. His recent publications include:
  1. Jia Chen, Chi-Keung Tang, Jue Wang, Noise Brush: Interactive High Quality Image-Noise Separation, ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 2009
  2. Jia Chen, Lu Yuan, Chi-Keung Tang, Long Quan, Robust Dual Motion Deblurring, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008
  3. Jia Chen, Chi-Keung Tang, Spatio-Temporal Markov Random Field for Video Denoising, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007
 
Zhenhua Dong
Dr. Zhenhua Dong is a Researcher at Huawei Noah's Ark Lab. He obtained his Ph.D. in Computer Science from Nankai University in 2012. He is interested in social computing, recommendation system, as well as machine learning in general. Recent publications:  
  1. Zhenhua Dong, Chuan Shi, Shilad Sen, Loren Terveen, John Riedl: War Versus Inspirational in Forrest Gump: Cultural Effects in Tagging Communities, ICWSM 2012: 82-89.
  2. Morten Warncke-Wang, Anuradha Uduwage, Zhenhua Dong,  Riedl: In Search of the Ur-Wikipedia: Universality, Similarity, and Translation in the Wikipedia Inter-language Link Network, WikiSym 2012.
  3. Zhenhua Dong, Qian Zhao: Experimental analysis on cross domain preferences association and rating prediction, CDKD 2012: 26-31.
  4. Shyong (Tony) K. Lam, Anuradha Uduwage, Zhenhua Dong, Shilad Sen, David R. Musicant, Loren Terveen, John Riedl: WP:clubhouse?: an exploration of Wikipedia's gender imbalance, WikiSym 2011: 1-10.
 
Xiuqiang He
Dr. Xiuqiang He is a researcher with Huawei Noah's Ark Laboratory. He obtained his PhD degree from the department of computer science and technology in Hong Kong University of Science & Technology (HKUST) in 2010.  His research interests include user modeling, large-scale telecom data analysis, and data mining technologies. Recent publications:
  1. Xiuqiang He, Patrick P. C. Lee, Lujia Pan, Cheng He, John C. S. Lui: A Panoramic View of 3G Data/Control-Plane Traffic: Mobile Device Perspective.Networking (1) 2012: 318-330.
  2. Xiuqiang He, Zonghua Gu, Yongxin Zhu: Task Allocation and Optimization of Distributed Embedded Systems with Simulated Annealing and Geometric Programming. Comput. J. 53(7): 1071-1091 (2010).
  3. Mingxuan Yuan, Zonghua Gu, Xiuqiang He, Xue Liu, Lei Jiang: Hardware/software partitioning and pipelined scheduling on runtime reconfigurable FPGAs. ACM Trans. Design Autom. Electr. Syst. 15(2) (2010)
  4. Xiuqiang He, Mingxuan Yuan, Zonghua Gu: A Hierarchical Framework for Design Space Exploration and Optimization of TTP-Based Distributed Embedded Systems. IEEE Trans. Industrial Informatics 4(4): 237-249 (2008)
 
Zhuolin Jiang
Dr. Zhuolin Jiang is a Researcher with Huawei Noah's Ark Laboratory. He was an assistant research scientist in the Institute for Advanced Computer Studies at the University of Maryland from 2011 to 2012. He received the PhD degree in computer science from the South China University of Technology in 2010. He was a PhD exchange student at the University of Maryland from 2008 to 2010. He worked as a postdoctoral research associate in the Institute for Advanced Computer Studies at the University of Maryland from 2010 to 2011. His research interests include Computer Vision, Pattern Recognition and Machine Learning, specifically on human action detection and recognition, object detection and tracking, video content analysis and retrieval, sparse coding and sparse dictionary learning. Recent publications are:
  1. Z.  Jiang,  Z. Lin,  L. S. Davis, "Recognizing Human Actions by Learning and Matching Shape-Motion Prototype Trees". IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(3): 533-547.
  2. Z. Jiang,  Z. Lin,  L. S. Davis, "Class Consistent k-means: Application to Face and Action Recognition". Computer Vision and Image Understanding, 2012, 116(6): 730-741.
  3. Z. Jiang, G. Zhang, L. S. Davis. "Submodular Dictionary Learning for Sparse Coding". IEEE Conference on Computer Vision and Pattern Recognition, 2012.
  4. Z. Jiang, Z. Lin, L. S. Davis. " Learning a Discriminative Dictionary for Sparse Coding via Label Consistent K-SVD". IEEE Conference on Computer Vision and Pattern Recognition, 2011.
Wing Ki Leung
Dr. Cane Wing-Ki Leung is a researcher at Huawei Noah's Ark Lab. From Sep 2008 to Sep 2012, She was a research fellow in the School of Information Systems, Singapore Management University, working on unsupervised information extraction and trust mining in online social networks. She obtained her Ph.D. in Computer Science from The Hong Kong Polytechnic University in 2009. Her Ph.D. research focused on data and text mining techniques with applications to collaborative filtering and sentiment analysis. Recent publications:
  1. Cane Wing-ki Leung, Jing Jiang, Kian Ming A. Chai, Hai Leong Chieu and Loo-Nin Teow. "Unsupervised Information Extraction with Distributional Prior Knowledge." In Proc 2011 Conference on Empirical Methods on Natural Language Processing, Edinburgh (EMNLP), 2011
  2. Cane Wing-ki Leung, Stephen Chi-fai Chan, Fu-lai Chung and Grace Ngai. "A Rating Inference Framework for Mining User Preferences from Reviews.". World Wide Web Journal, 14(2): 187-215, March 2011.
  3. Viet-An Nguyen, Cane Wing-ki Leung and Ee-Peng Lim. "Modeling Link Formation Behaviors in Dynamic Social Networks." In Proc International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP), 2011.
  4. Cane Wing-ki Leung, Ee-Peng Lim, David Lo and Jianshu Weng. "Mining Interesting Link Formation Rules in Social Networks." In Proc 19th ACM International Conference on Information and Knowledge Management (CIKM), 2010.
Zhengdong Lu
Dr. Zhengdong Lu is a Researcher with Huawei’s Noah’s Ark Lab. Before that, he was with Microsoft Research Asia during 2010-2012. He obtained his Ph.D in Computer science from Oregon Health and Science University in 2008. He is mainly interested in machine learning and data mining on Web data. Recent publications:
  1. Wei Wu, Zhengdong Lv, and Hang Li, Regularized Mapping to Latent Structures and Its Application to Web Search, no. MSR-TR-2012-54, May 2012
  2. Zhengdong Lu, Todd K. Leen, and Jeffrey Kaye, Kernels for Longitudinal Data with Variable Sequence Length and Sampling Intervals, in Neural Computation, 2011
  3. Weiran Wang, Miguel Á. Carreira-Perpiñán, and Zhengdong Lu, A Denoising View of Matrix Completion, in Advances in Neural Information Processing Systems (NIPS 25), 2011
  4. Zhengdong Lu, Deepak Agarwal, and Inderjit Dhillon, A Spatio-Temporal Approach to Collaborative Filtering, in Proceedings of the third ACM conference on Recommender systems (RecSys '09), 2009
Xiaojuan Ma
Xiaojuan Ma, Ph.D., is a Researcher at Huawei Noah's Ark Lab. Prior to that, she was a Computing Innovation Post-doc Fellow in Human-Computer Interaction Institute, Carnegie Mellon University. She received her bachelor's degree from Tsinghua University, Ph.D. from Princeton University, and worked as a research fellow in the Department of Information Systems, National University of Singapore in 2010. Dr. Ma's background is in Human-Computer Interaction. She is particularly interested in multimedia-augmented communication in both human-human and human-robot interactions, design, visual/auditory perception, and (computational) linguistics. Recent publications:
  1. X. Ma, J. Forlizzi and S. Dow, Guidelines for Depicting Emotions in Storyboard Scenarios, Proc. 8th International Conference on Design & Emotion, 2012.
  2. X. Ma, and C. Fellbaum, Rethinking WordNet's Domains. Proc. Global WordNet Conference, 2012.
  3. D.S. Jianqiang, X. Ma, S. Zhao, J.T. Khoo, S.L. Bay and Z. Jiang, Farmer's Tale: a Facebook Game to Promote Volunteerism. Proc. CHI, 2011.
  4. X. Ma, and C. Fellbaum and P. Cook, A Multimodal Vocabulary for Augmentative and Alternative Communication from Sound/Image Label Datasets, HLT’2010 Workshop of Speech and Language Processing for Assistive Technologies, 2010.
  5. X. Ma, and C. Fellbaum and P. Cook, Semantic Labeling of Non-Speech Audio Clips, EURASIP Journal on Audio, Speech, and Music Processing, 2010.
Ni Bing
Dr. Bing NI is a researcher engineer of Huawei Noah's Ark Lab. She received Ph.D in Computer Science and Engineering from The Chinese University of Hong Kong in 2011, and Bachelor and Master in Computer Science and Techonology from Nanjing University of Posts and Telecom in 2000 and 2003 respectively. Before joining Huawei, she was an engineer at the Hong Kong Applied Science and Techonology Research Institute (ASTRI), in Shatin Hong Kong, from Jun 2011 to Feb 2013, and a software engineer at the IBM Solutions and Services Center (ISSC), in Shanghai China, from Apr 2003 to Sep 2004. Her research interests include data mining and artificial intelligence in general, and keyword matching algorithm in Computer Science as well as sequence alignment algorithm in Computational Bioinformatics in perticular. Recent publications:  
  1. Bing Ni, Man-Hon Wong, Chi-Fai Lam, Kwong-Sak Leung, Applying Agrep to r-NSA to Solve Multiple Sequences Approximate Matching, International Journal of Data Mining and Bioinformatics (accepted), to appear.
  2. Shao-Ke LOU, Jing-Woei LI, Hao QIN, Aldrin Kay-Yuen YIM, Leung Yau Lo, Bing Ni, Kwong Sak Leung, Stephen Kwok-Wing TSUI, and Ting-Fung CHAN, Detection of splicing events and multiread locations from RNA-seq data based on a geometric-tail (GT) distribution of intron length, BMC Bioinformatics, 2011.\
  3. Hong Jian Lee, Bing Ni, Man-Hon Wong, Kwong-Sak Leung, A Fast CUDA Implementation of Agrep Algorithm for Approximate Nucleotide Sequence Matching, IEEE Symposium on Application Specific Processors 2011.
  4. Bing Ni*, Shaoke Lou*, Leung-Yau Lo, Stephen Kwok-Wing Tsui, Ting-Fung Chan, Kwong-Sak Leung, ABMapper: a suffix array-based tool for multi-location searching and splice-junction mapping, Bioinformatics, 2010 (*: contribute equally in this work).
  5. Bing Ni, Leung-Yau Lo, Kwong-Sak Leung, A Generalized Sequence Patten Matching Algorithm Using Complementary Dual-Seeding, IEEE International Conference on Bioinformatics & Biomedicine, Dec. 2010 (BIBM 2010).
  6. Bing Ni, Man-Hon Wong, Kwong-Sak Leung, N-SAMSAM: A simple and faster algorithm for solving approximate matching in DNA sequences, IEEE Congress on Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence).
 
Andrey Osin
Dr. Andrey Osin is a senior researcher in Russian division of Huawei Noah's Ark Laboratory. He is an engineer with radio engineering background. His Ph.D. is in Technical Science (Specialty in systems, networks and telecommunication devices). Andrey's previous working experience includes Engineer for the Russian State Television, Associate Professor in the Department of Information Security and Mail Communication Techniques of Moscow Technical University of Communication and Informatics, and Deputy editor-in-chief for "ComputerBild" magazine (Axel-Springer Russia Publishing House). Andrey's research interests include statistical analysis/visualization of large sets of network traffic data, probabilistic and statistical aspects of long-range dependent processes and heavy-tailed distributions with applications to telecommunications, and fractal modeling of traffic in high-speed communications networks based on self-similar stochastic processes and dynamical systems methods. He has published four books and numerous papers in these and related areas.
Tian Guangjian
Dr. GuangJian Tian received the Ph.D. degree in computer science and technology from the Northwestern Polytechnical University, Xi’an, China, in 2006. Before joining Huawei, he worked in the Department of Electronic and Information Engineering of the Hong Kong Polytechnic University, and was also a statistician in SPSS Software Development Co. Ltd for statistic and data-mining algorithms research and development. His research interests include data analysis and data mining technologies for industrial applications. Recent Publications:
  1. XiuJuan Zheng, GuangJian Tian, David Dagan Feng, “A Hybrid Clustering Method for Estimation of Image-derived Input Function with Small Animal Dynamic PET Study”, IEEE Transaction on Information Technology in Biomedicine. 15(2): 195–205. (2011)
  2. GaungJian Tian, Yong Xia, David Dagan Feng, “Hybrid GA Variational Bayes Inference of Finite Mixture Models for Voxel Classification in Brain Images”, IEEE Transaction on Information Technology in Biomedicine. 15(3): 373-380 (2011)
  3. GuangJian. Tian, X. Zheng, S.Shao, G.Huang, D. Feng, “Automatic Tumor Detection for Early Chemotherapy Response Assessment using Dynamic FDG-PET”, 57th SNM Annual Meeting, Salt Lake City, Utah, June 5-9, 2010.
  4. X. Zheng, GuangJian. Tian, S.-C. Huang, D. Feng, “Semi-automatic Estimation of Image-derived Input Function in Mouse FDG-PET Studies Using One Blood Sample”, 57th SNM Annual Meeting, Salt Lake City, Utah, June 5-9, 2010.
 
Liangwei Wang
Liangwei Wang is a researcher in Huawei Noah's Ark Lab. He received B.S. and M.S. in Computer Science from Xi'an Jiaotong University. His research interests include social network analysis, user modeling, recommendation systems and information integration. Before Noah's Ark Lab, he worked in telecom industry 10 years since 2001, majorly working on telecom service platform developing and telecom operation data analyst. Recent publications:
  1. Yang Yang, Jie Tang, Jacklyne Keomany, Yanting Zhao, Juanzi Li, Ying Ding, Tian Li and Liangwei Wang. Mining Competitive Relationships by Learning across Heterogeneous Networks. CIKM 2012.
  2. Guangxu Xun, Yujiu Yang, Liangwei Wang, Wenhuang Liu. Latent community discovery with network regularization for core actors clustering. COLLING 2012
Jun Xu
Dr. Jun Xu is a Researcher at Huawei Noah's Ark Lab. Prior to joining Huawei, he had been working at Microsoft Research Asia during 2006 - 2012. He obtained his Ph.D. in Computer Science from Nankai University in 2006. His main research interest focuses on web search and machine learning. He has published extensively in prestigious conferences and journals including SIGIR, WWW, CIKM, JMLR, ECML, and ECIR. His paper won AIRS'2010 best paper award.
Recent publications:
  1. Quan Wang, Zheng Cao, Jun Xu, and Hang Li, Matrix Factorization for Scalable Topic Modeling, Proc. ACM SIGIR, 2012.
  2. Quan Wang, Jun Xu, Hang Li, and Nick Craswellm Regularized Latent Semantic Indexing, Proc. ACM SIGIR, 2011.
  3. Wei Wu, Jun Xu, Hang Li, and Satoshi Oyama, Learning Robust Relevance Model for Search using Kernel Method, Journal of Machine Learning Research (JMLR), 12(May):1429-1458, 2011.
  4. Jun Xu, Wei Wu, Hang Li, and Gu Xu, A Kernel Approach to Addressing Term Mismatch. Proc. WWW, 2011.
Mingxuan Yuan
Dr. Mingxuan Yuan is a Researcher with Huawei Noah's Ark Laboratory. Prior to joining Huawei, he served as a PostDoc fellow in the Department of Computer Science and Engineering of the Hong Kong University of Science and Technology. His research interests include social network and privacy.
Recent publications:
  1. Mingxuan Yuan, Lei Chen, "Semi-Edge Anonymity: Graph Publication when the Protection Algorithm Is Available", Proc. of DASFAA, 2012.
  2. Mingxuan Yuan, Lei Chen, Philip S. Yu, Ting Yu, Protecting Sensitive Labels in Social Network Data Anonymization, accepted to appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2012.
  3. Mingxuan Yuan, Lei Chen, Philip S. Yu, Personalized Privacy Protection in Social Networks, Proc. VLDB, 2011.
  4. Shaoxu Song, Lei Chen, Mingxuan Yuan, Materialization and Decomposition of Datasapces for Efficient Search, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 23, No. 12, 2011.
Simon S.M. Zhang
Dr. Simon S.M. ZHANG is a researcher of Noah’s Ark Lab in Hong Kong. He received his Ph.D. and M.Phil. in Computer Science from the University of Hong Kong in 2011 and Institute of Software, Chinese Academy of Sciences in 2005, respectively. Prior to Noah’s Ark Lab, he was a Research Fellow in Dept. of Computer Science and Academic Fellow in St. John’s College, University of Hong Kong since 2007. Dr. Zhang has visited at Institute for Informatics, Ludwig-Maximilians-University München, Germany in 2010. He served as Consultant and Data Analyst in Computer Science Corporation during 2005 ~ 2007 and Researcher in Shanghai Academy of Spaceflight Technology from 2000 to 2002. His research interests focus on Preference Query Processing, Data Mining and Machine Learning, Database, and Constraint Optimization Problems. Recent publications:
  1. Thomas Bernecker, Tobias Emrich, Hans-Peter Kriegel, Nikos Mamoulis, Matthias Renz, S.M. Zhang, Andreas Züfle: Spatial Inverse Query Processing, in GeoInformatica, V17(x), 2013.
  2. Hao Wang, Yilun Cai, Yin Yang, S.M. Zhang, Nikos Mamoulis:Durable Queries over Historical Time Series Data, in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2013.
  3. Thomas Bernecker, Tobias Emrich, Hans-Peter Kriegel, Nikos Mamoulis, Matthias Renz, S.M. Zhang, Andreas Züfle: Inverse Queries for Multidimensional Spaces, in the 12th Intel. Symposium of Advances in Spatial and Temporal Databases (SSTD’11): 330-347, 2011.
  4. S.M. Zhang, Nikos Mamoulis, Ben Kao, David Wai-Lok Cheung: Efficient Skyline Evaluation over Partially Ordered Domains, in Proceedings of the VLDB Endowment (PVLDB), 3(1): 1255-1266, 2010.
  5. S.M. Zhang, Nikos Mamoulis, David W. Cheung: Scalable skyline computation using object-based space partitioning, in Proceedings of the ACM Conference on Management of Data (SIGMOD’09): 483-494, 2009.
Xiatian Zhang
Xiatian Zhang received M.S in Computer Science from Beijing University of Posts and Telecommunications in 2007 and has been working in IBM Research - China since 2006.  At IBM CRL, He worked on data mining, machine learning and recommender systems. He worked in Tencent from 2011 to 2012. At Tencent, he focused on accurate advertising optimization. He published papers in top data mining, and recommender systems conferences, such as KDD, SDM, IUI, and RecSys etc. His research interests and experiences span several areas, including stream data miming, random decision trees,  multi-label data learning,  recommender systems,  etc. Recent publications:  
  1. Who is Doing What and When: Social Map-based Recommendation for Content-Centric Social Websites, Shiwan Zhao, Michelle Zhou, Xiatian Zhang，Quan Yuan, Wentao Zheng, Rongyao Fu, ACM Transactions on Intelligent Systems and Technology (TIST) , Volume 3 Issue 1, October 2011.
  2. Multi-label Classification without the Multi-label Cost, Xiatian Zhang, Quan Yuan, Shiwan Zhao, Wei Fan, Wentao Zheng, Zhong Wang,  SIAM Conference on Data Mining(SDM10), 2010.
 
Yibo Zhang
Dr. Yibo Zhang is a senior researcher in Huawei Noah's Ark Lab. He received B.S. in Electronic Engineer from Xidian University, M.S. and Ph.D. in Signal and Information Processing from Beijing University of Post and Telecommunication. His current research work focuses on knowledge representation/reasoning and information integration. Before joining Huawei, he worked in IBM China Research Lab as a Research Staff Member for 7 years since 2004, majorly working on telecom service opening and management, and user behavior mining in mobile network (Mobile Intelligence).