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Li Yuhua

Professor

Supervisor of Doctorate Candidates

Supervisor of Master's Candidates

 

Phone: 027-87544285

Email: idcliyuhua@hust.edu.cn

Academic Areas: data mining, social network analysis and mining, big data analysis and mining, machine learning, artificial intelligence

 

Personal Profile

Li Yuhua, female, professor and doctoral supervisor of the School of Computer Science and Technology, Huazhong University of Science and Technology. In 2006, she received her Ph.D. degree from the School of Computer Science and Technology at Huazhong University of Science and Technology. From December 2014 to December 2015, she conducted visiting research at the University of California, Santa Barbara. She is a senior member of Chinese Computer Society, Executive Member of Information Systems Committee and Database Technical Committee, a member of IEEE and ACM Society, a review expert of National Natural Science Foundation of China, a review expert of National 863 Program expert database and an expert of expert system database of Ministry of Education. She served as a PC member of the Organization Committee of the First National Conference on WEB Information Systems and Applications (WISA), a member of the Program Committee of FSKD'09, CSWC2010, ADMA2011. Her main research directions include data mining, machine learning, big data analysis, etc. As the project leader, she presided over 3 projects of the National Natural Science Foundation of China, the Open Fund Project of the State Key Laboratory, and the 211 Project. At the same time, as the main contributor of the project, she participated in the National Key Research and Development Program, the National Natural Science Foundation of China, and the National Natural Science Foundation of Chinathe National Science Foundation Youth Project, the National 863 Program, the National Cryptography Development Fund, and the National "Tenth Five-Year Plan" Scientific and Technological Research Projects. She have published over 60 academic papers in authoritative journals and conferencessuch as ACL, SIGIR, ICDM, CIKM, ECAI, DASFAA, WAIM, IJCNN, WISE, ICONIP, KSEM, SCC, DS, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computational Social Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, Artificial Intelligence Review, Neurocomputing, SCIENCE CHINA: Information Sciences, Pattern Recognition Letters, Physica A: Statistical Mechanics and its Applications, The Computer Journal, Frontiers of Computer Science in China, Computer Research and development etc. 17 authorized patents and 6 software copyrights have been granted.

Academic Degrees

2002.9 ~ 2006.12

Huazhong University of Science and Technology - Computer Applications Technology - Doctoral Degree in Engineering  -  Postgraduate (Doctoral)

 

1989.9 ~ 1992.5

Harbin University of Science and Technology - Detection Technology and Automatic Device - Masters Degree in Engineering -  Postgraduate (Masters Degree)

 

1985.9 ~ 1989.7

Harbin University of Science and Technology  -  Detection Technology and Automatic Device  -  Bachelor's Degree in Engineering  -  Undergraduate (Bachelors degree) 

 

Professional Experience

2020.11-Now

Huazhong University of Science and Technology  - Computer Science and Technology - Professor  - In service

 

2004.11-2020.10

Huazhong University of Science and Technology - School of Computer Science and Technology - Associate Professor

 

2014.12-2015.12

University of California, Santa BarbaraUCSB)  - Computer Science Department - Visiting Scholar

 

2003.7-2004.10

Huazhong University of Science and Technology  - School of Computer Science and Technology - TeacherSenior Engineer

 

1992.5-2002.8

710th research institute, China Ship building Industry Corporation (CSIC).  - 101 Research Centre - EngineerSenior Engineer

Courses Taught

[1] Computer thinking, Fall 2014-2022, opens for the PhD Candidates of Computer Science and Technology at HUST.

[2] Machine learning, Spring 2019-2021, opens for the PhD Candidates of Computer Science and Technology at HUST.

[3] The advanced theses in data mining, Fall 2004-2022 (Chinese), The Advanced Theses in Data Mining course opens for the PhD Candidates of Computer Science and Technology at HUST.

[4] Software process and project management, Fall 2022 (Chinese), The Project management course opens for the post-graduate students of Computer Science and Technology at HUST.

[5] Project management, Fall 2005-2021(English /Chinese), The Project management course opens for the post-graduate students of Computer Science and Technology at HUST.

 

Awards and Honors

[1] 2016    The third prize of The 16th Hubei Provincial Natural Science outstanding academic papers

[2] 2016   The excellent instructor of students science and technology innovation activities of Huazhong University of Science and Technology

[3] 2016    Advanced union activities activists of Huazhong University of Science and Technology

[4] 2011    Huazhong University of Science and Technology Teaching quality Award second prize

[5] 2008    Huazhong University of Science and Technology Teaching quality Award second prize

[6] 2006    The second prize of Hubei Province Wuhan City 11th Natural Science excellent thesis

Selected Projects Funded

[1] Research on Analysis and Influence Prediction of User Behavior in Information Propagation based on Deep Fusion, (PI, Supported by NSFC under grant U1936108), 2020-2022General Program of NSFC, "Research on Integrated Algorithm of 4D-CT Lung Cancer Focus Segmentation and Motion Tracking" (Program Approval No.: 81671768)  

[2] Spatio-temporal social topic model aiming at the users’ behavior analysis in large-scale online social network, (PI, Supported by NSFC under grant 615722216), 2016-2019

[3] Privacy Protection and Security Insurance in Mobile Cloud Services, (Supported by NSFC under grant U1401258), 2015-2018

[4] Sentiment Analysis for Micorblog based on Swarm Intelligence, (Supported by NSFC under grant 61300222), 2014-2016

[5] The dynamic financial network analysis technique research basing on link mining, (PI, Supported by NSFC under grant 70771043), 2008-2010

[6] Key Technologies of Distributed Ciphertext Information Retrieval System, (Supported by 863 Program under grant 2007AA01Z403),2007-2009,

[7] Decision-making System of The National Foreign Exchange Management Foreign, (Supported by Key Tech R&D Program under grant 2001BA102A06-1 ), 2003-2004

[8] Comprehensive Database along the Economic Corridor between China and Indochina Peninsula, supported by Major program of The National Social Science Fund of China under grant 16ZDA092, 2017-2020

Selected Publications

Journal papers

[1] Ruixuan Li, Qi Yang, Yuhua Li*, Xiwu Gu, Weijun Xiao, Keqin Li. HeteroYARN: A Heterogeneous FPGA-accelerated Architecture based on YARN. IEEE Transactions on Parallel and Distributed Systems, 2020, 31(12): 2968-2980, (CCF A, Trans. )

[2] Qi Yang, Gaosheng Wu, Yuhua Li*, Ruixuan Li*, Xiwu Gu, Huicai Deng, Junzhuang. AMNN: Attention-based Multimodal Neural Network Model for Hashtag Recommendation. IEEE Transactions on Computational Social Systems, 2020, 7(3): 768-779 (Trans. )

[3] Yumeng Yuan, Yuhua Li*, Member, IEEE, Zhenlong Zhu, Ruixuan Li, Member, IEEE, and Xiwu Gu. Joint Domain Adaptation Based on Adversarial Dynamic Parameter Learning, IEEE Transactions on Emerging Topics in Computational Intelligence,2021,5(4):714 - 723,( Trans. )

[4] Junwei Tang, Ruixuan Li, Yu Jiang, Xiwu Gu, Yuhua Li:Android malware obfuscation variants detection method based on multi-granularity opcode features. Future Gener. Comput. Syst. 2022,129: 141-151 

[5] Mingli Xu, Yuhua Li, Ruixuan Li, Fuhao Zou, Xiwu Gu. EADP: An Extended Adaptive Density Peaks Clustering for Overlapping Community Detection in Social Networks. Neurocomputing, 2019, 337: 287-302

[6] Olivier HABIMANA1, Yuhua LI*, Ruixuan LI, Xiwu GU1 & Ge YU,Sentiment Analysis Using Deep Learning Approaches: An Overview, Science China -Information Sciences , 2020, 63(1): 111102

[7] Yuhua Li*, Ruixuan Li*, Xiaoqing Xiong,  Xiwu Gu,  Tianan Liang,  Mingli Xu,   Yumeng Yuan. Multi-Topical Authority sensitive Influence Maximization with Authority Based Graph Pruning and Three-stage Heuristic Optimization, Applied Intelligence, 2021,51(11): 8432-8450 

[8] Wang Jinyang , Li Yuhua,Li Ruixuan,Chen Hao,Chu Kejing. "Trajectory planning for UAV navigation in dynamic environments with matrix alignment Dijkstra." Soft Computing (2022):1-12.

[9] Changzheng Liu, Fengling Huang, Ruixuan Li, Qi Yang, Yuhua Li, Shui Yu:

[10] Community detection using multitopology and attributes in social networks. Concurr. Comput. Pract. Exp. 34(12) (2022)

[11] Olivier Habimana, Yuhua Li*, Ruixuan Li*, Xiwu Gu, Wenjin Yan . Attentive Convolutional Gated Recurrent Network: A Contextual Model to Sentiment Analysis. International Journal of Machine Learning and Cybernetics.2020.11(12):2637-2651

[12] Zhengyuan Xue, Ruixuan Li, Yuhua Li*, Lin Huo*, Xiwu Gu, Weijun Xiao. FRFB: Top-k Followee Recommendation by Exploring the Following Behaviors in Social Networks, Concurrency and Computation-Practice & Experience. 2018,30(15)

[13] Yuhua Li, Changzheng Liu, Ming Zhao, Ruixuan Li, Hailing Xiao, Kai Wang, Jun Zhang. Multi-Topic Tracking Model for Dynamic Social Network. Physica A: Statistical Mechanics and its Applications, 2016,454:51-65

[14] Wei Ye, Ruixuan Li, Xiwu Gu, Yuhua Li, Kunmei Wen: Role mining using answer set programming. Future Gener. Comput. Syst. 2016,55: 336-343 

[15] Yuhua Li, Aiming Wen, Quan Lin, Ruixuan Li, Zhengding Lu. Name Disambiguation in Scientific Cooperation Network by Exploiting User Feedback. Artificial Intelligence Review,2014, 41(4):563-578.

[16] Liang Huang, Ruixuan Li, Hong Chen, Xiwu Gu, KunmeiWen, Yuhua Li. Detecting Network Communities Using Regularized Spectral Clustering Algorithm. Artificial Intelligence Review, 2014,41(4): 579-594 

[17] Dongsheng Duan, Yuhua Li*, Ruixuan Li, Rui Zhang, Xiwu Gu and Kunmei Wen. LIMTopic: A Framework of Incorporating Link based Importance into Topic Modeling. IEEE Transactions on Knowledge and Data Engineering, 2014, 26(10): 2493-2506

[18] Dongsheng Duan, Yuhua Li*, Ruixuan Li, Zhengding Lu, Aiming Wen. MEI: Mutual Enhanced Infinite Community–Topic Model for Analyzing Text-Augmented Social Networks. The Computer Journal, 56(3): 336-354 (2013), 2013

[19] Dongsheng Duan, Yuhua Li*, Ruixuan Li, Zhengding Lu. Incremental K-clique clustering in dynamic social networks, Artificial Intelligence Review, Springer, August 2012, Volume 38, Issue 2, 129-147

[20] Yuhua Li,Xiao Hailing,Li Dongcai,Li Ruixuan. Research of Dynamic Link Prediction Method Based on Link Importance. Journals of Frontiers of Computer Science and technology, 2012, 6(2): 134-143,( in Chinese )

[21] Ruixuan Li, Kunmei Wen, Xiwu Gu, Yuhua Li, Xiaolin Sun. Type-2 Fuzzy Description Logic. Frontiers of Computer Science in China, Springer, 2011, 5(2): 205-215

[22] Yuhua Li,Xiao Hailing, Li Dongcai, Research of Dynamic Link Prediction Method Based on Link Importance, journal of Computer research and development. 2011,s3. (in Chinese)

[23] Quan Lin, Bo Wang ,Yuan Du ,Xuezhi Wang ,Songcan Chen , Yuhua Li*. Disambiguating Authors by Pairwise Classification. Tsinghua Science and Technology, 15(6):11-21, 2010

[24] Yuhua Li, Lu Zhengding,Sun Xiaolin,Wen Kunmei,Li Rui-xuan. The Data Mining Ontology Development for High User Usability. Wuhan University Journal of Natural Sciences,2006,11(1):51~55(in Chinese)

[25] Yuhua Li, Lu Zhengding, Liao Zhensong. Research of ontology-based Universal Knowledge Grid, Journal of Huazhong Univ. of Sci. & Tech. (Nature Science Edition),2006,34(3):21-24 (in Chinese)

 

Conference papers

[26] Yixiong Zou,Shanghang Zhang,Yuhua Li.Ruixuan Li.Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation.Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022)

[27] Zhenlong Zhu, Ruixuan Li, Minghui Shan, Yuhua Li*, Lu Gao, Fei Wang, Jixing Xu, Xiwu Gu. TDP: Personalized Taxi Demand Prediction Based on Heterogeneous Graph Embedding. The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, July 21-25, 2019

[28] Ronghua ZhangZhenlong ZhuChangzheng LiuYuhua Li, Ruixuan Li:Deep Neural Factorization Machine for Recommender System. KSEM (2) 2022: 273-286

[29] Lulu XiaoXiaoye QuRuixuan Li*, Jun WangPan Zhou, Yuhua Li: Fine-Grained Text Sentiment Transfer via Dependency Parsing. ECAI 2020: 2228-2235

[30] Olivier HabimanaYuhua Li, Ruixuan Li, Xiwu GuYuqi Peng: A Multi-Task Learning Approach to Improve Sentiment Analysis with Explicit Recommendation. IJCNN 2020: 1-8

[31] Wenjin YanRuixuan Li*, Jun Wang, Yuhua Li*, Jinyang WangPan ZhouXiwu Gu:Imbalance Rectification in Deep Logistic Regression for Multi-Label Image Classification Using Random Noise Samples. CIKM 2019: 1131-1140

[32] Olivier Habimana, Yuhua Li*, Ruixuan Li*, Jun Wang, Xiwu Gu, Yuqi Peng. A Multi-Task Learning Approach to Improve Sentiment Analysis with Explicit Recommendation. The 2020 International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, UK,19 - 24th July, 2020

[33] Tianan Liang, Yuhua Li*, Ruixuan Li, Xiwu Gu, Olivier Habimana, Yi Hu. Personalizing Session-based Recommendation with Dual Attentive Neural Network. The 2019 International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, July 14-19, 2019, pp. 1-8

[34] Lu Gao, Yuhua Li, Ruixuan Li, Zhenlong Zhu, Xiwu Gu, Olivier Habimana. ST-RNet: A Time-aware Point-of-interest Recommendation Method based on Neural Network. The 2019 International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, July 14-19, 2019, pp. 1-8

[35] Qi Yang, Ruixuan Li, Yuhua Li, Qilei Liu. Topic-Bigram Enhanced Word Embedding Model, ICONIP, 2018.12.14-2018.12.16, 2018: 69-81

[36] Gaosheg Wu, Yuhua Li, Wenjin Yan, Ruixuan Li, Xiwu Gu, Qi Yang. Hashtag Recommendation with Attention-Based Neural Image Hashtagging Network, ICONIP 2018, 2018.12.14-2018.12.16, 2018: 52-63

[37] Mengting Xiong, Ruixuan Li, Yuhua Li, Xiwu Gu, Qi Yang. Self-Inhibition Residual Convolutional Networks for Chinese Sentence Classification, ICONIP 2018, 2018.12.14-2018.12.16, 2018: 262-277

[38] Xiaoqing Xiong, Ruixuan Li, Yuhua Li, Xiwu Gu, Tianan Liang. Topical Authority-Sensitive Influence Maximization, WISE2018, 2018.11.12-2018.11.15, 2018:262-277

[39] Xukuan Zhan, Yuhua Li, Ruixuan Li, Xiwu Gu, Olivier Habimana, Haozhao Wang. Stock Price Prediction Using Time Convolution Long Short-Term Memory Network, KSEM 2018, 2018.8.17-2018.8.19, 2018: 461-468

[40] Zhen Zhang, Ruixuan Li, Yuhua Li, Xiwu Gu. Rank-Integrated Topic Modeling: A General Framework, APWeb-WAIM2018, 2018.7.23-2018.7.25, 2018:16-31

[41] Zhenlong Zhu, Yuhua Li, Ruixuan Li, Xiwu Gu. Distant Domain Adaption for Text Classication, KSEM 2018, 2018.8.17-2018.8.19, 2018: 55-66

[42] Kunmei WenZhijiang LiuShuai XuRuixuan Li, Yuhua Li, Xiwu GuJie Zan:Subtopic-Level Sentiment Analysis of Emergencies. KSEM 2015: 312-317

[43] Khaled M. Banafaa, Ruixuan Li, Kunmei Wen, Xiwu Gu, Yuhua Li. Keyword-matched Data Skyline in Peer-to-Peer Systems. The 18th International Conference on Database Systems for Advanced Applications (DASFAA 2013), Wuhan, China, April 22-25, 2013

[44] Dongsheng Duan, Yuhua Li*, Ruixuan Li, Rui Zhang, Aiming Wen. RankTopic: Ranking Based Topic Modeling. IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium, December 10-13, 2012 , pp 211-220 (Acceptance rate: 10.7%, 81/756)

[45] Liang Huang, Ruixuan Li, Yuhua Li, Xiwu Gu, Kunmei Wen, L1-graph based community detection in online social network, The 14th Asia-Pacific Web Conference (APWeb 2012),April 11-13, 2012, Kunming, China

[46] Dongsheng Duan, Yuhua Li*, Ruixuan Li, Zhengding Lu, Aiming Wen. MEI: Mutual Enhanced Infinite Generative Model for Simultaneous Community and Topic Detection. The 14th International Conference on Discovery Science (DS 2011), Espoo, Finland, October 5-7, 2011, Volume 6926, pp 91-106

[47] Yuhua Li, Aiming Wen, Quan Lin, Ruixuan Li, Zhengding Lu. Incorporating User Feedback into Name Disambiguation of Scientific Cooperation Network. The 12th International Conference on Web-Age Information Management (WAIM 2011), Wuhan, China, September 14-16, 2011,pp 454-466

[48] Yuhua Li, Quan Lin, Ruixuan Li, Dongsheng Duan. TGP: Mining Top-K Frequent Closed Graph Pattern without Minimum Support. The International Conference on Advanced Data Mining and Applications (ADMA 2010), November 19-21, 2010, pp. 537-548

[49] Yan'an Jin, Ruixuan Li, Yi Cai, Qing Li, Ali Daud, Yuhua Li. Semantic Grounding of Hybridization for Tag Recommendation. The 11th International Conference on Web-Age Information Management (WAIM 2010), Jiuzhai Valley, Sichuan, China, July 15-17, 2010, pp. 139-150

[50] Dongsheng Duan, Yuhua Li*, Yanan Jin , Zhengding Lu, Community Mining on Dynamic Weighted Directed Graphs, ACM workshop Complex Networks in Information & Knowledge Management (CNIKM 2009) in conjunction with CIKM 2009, Hong Kong, China, November 2-6, 2009.

[51] Yuhua Li, Quan Lin, Gang Zhong, Dongsheng Duan, Yanan Jin, Wei Bi.  A Directed Labeled Graph Frequent Pattern Mining Algorithm based on Minimum Code, the 3rd International Conference on Multimedia and Ubiquitous Engineering (MUE 2009), Qingdao, China JUNE 2009:353-359

[52] Yuhua Li, Dongsheng Duan, Guanghao Hu, Zhengding Lu. Discovering Hidden Group in Financial Transaction Network Using Hidden Markov Model and Genetic Algorithm, the 6th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'09), Tianjin, China, AUGUST 2009:253-258

 

Professional Affiliations

[1] Senior member of Chinese Computer Society, Executive Member of Information Systems Committee and Database Technical Committee.

[2] Member of Chinese Information Processing Society of China

[3] Member of Chinese Association for Artificial Intelligence

[4] Member of IEEE

[5] Member of ACM Society

Research Group

CBIB

Enrollment Information

College: School of Computer Science and Technology

Discipline: Computer Application Technology

Research direction: Data mining, Machine Learning, Big data analysis

Year of Admission: 2023

Admission Type: Doctoral Candidate

Personal Homepage

Web/hust/mu_faculty/rjin/en/index.htm 

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