About Me

Haizhou Wang

Haizhou Wang

Haizhou Wang is an Associate Professor at the School of Cyber Science and Engineering, Sichuan University, China. He received the B.E. degree and Ph.D. degree from College of Computer Science, Sichuan University, in 2008 and 2014 respectively. During 2013-2014, he visited the Department of Electrical and Computer Engineering at University of Toronto, under the supervision of Prof. Jorg Liebeher. His research interests include social network analysis, fake information detection, artificial intelligence security, open source intelligence analysis.

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Notice

I am looking for self-motivated undergraduate students and postgraduate students who have strong interests in the research of content security and application security. If you are interested, please send an email to whzh.nc@scu.edu.cn.

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Research Interest

His research interests include social network analysis, fake information detection, artificial intelligence security, open source intelligence analysis.

Social Network Analysis
Social Network Analysis

We are working at the research of various social network analysis, including depression detection in online social network, interlayer link prediction and user identification in multiplex social networks, etc.

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Fake Information Detection
Fake Information Detection

We are working at the detection of fake information, including Cantonese rumor detection, fake news detection, fake review detection, social spammers recognition, etc.

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Open Source Intelligence Analysis
Open Source Intelligence Analysis

We are working at several Open Source Intelligence analysis topics, including hot topics detection and tracking, event elements extraction, identifying Chinese jargons, etc.

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Attack and Defense on CAPTCHAs
Attack and Defense on CAPTCHAs

We are working at attack and defense on CAPTCHAs, including identification on Text-based CAPTCHAs, identification on Image-based CAPTCHAs, CAPTCHAs defense based on adversarial samples, etc.

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Online Video Streaming Measurement
Online Video Streaming Measurement

We were working at several network measurement topics in P2P live video streaming, including pollution propagation attack and defense, measurement analysis on P2P video streaming system, etc.

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Other Research Topics
Other Research Topics

We are also working at several network security topics, including malware detection, irrelevant faces detection in short-form video, detecting phishing scam on Ethereum, etc.

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Publications


• OPEN INTELLIGENCE ANALYSIS

  1. Lianxin Lin, Yaowen Li, Haizhou Wang*. TSMGAN-II: Generative Adversarial Network Based on Two-Stage Mask Transformer and Information Interaction [C], Proceeding of the 20th International Conference on Intelligent Computing (ICIC 2024), Tianjin, China, August 5-8, 2024, pp. 174-185. [Code] [Dataset] [PDF]

  2. Liang Ke, Peng Xiao, Xinyu Chen, Shui Yu, Xingshu Chen, Haizhou Wang*. A Novel Cross-domain Adaptation Framework for Unsupervised Criminal Jargon Detection via Pre-trained Contextual Embedding of Darknet Corpus [J], Expert Systems with Applications, 2024, 242: 122715. [Code] [Dataset] [PDF]

  3. Tingke Wen, Yuanxing Xiao, Anqi Wang, Haizhou Wang*. A Novel Hybrid Feature Fusion Model for Detecting Phishing Scam on Ethereum using Deep Neural Network [J], Expert Systems with Applications, 2023, 211: 118463.

  4. Yifei Wang, Haochen Su, Yingao Wu, Haizhou Wang*. A Supervised-based Identification and Classification Model for Chinese Jargons Using Feature Adapter Enhanced BERT [C], Proceeding of 19th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2022), Shanghai, China, November 10-13, 2022, pp. 297-308. [Code] [Dataset] [PDF]

  5. Yiwei Hou, Hailin Wang, Haizhou Wang*. Identification of Chinese Dark Jargons in Telegram Underground Markets Using Context-Oriented and Linguistic Features [J], Information Processing and Management , 2022, 59(5): 103033. [Code] [Dataset] [PDF]

  6. Liang Ke, Xinyu Chen, Haizhou Wang*. An Unsupervised Detection Framework for Chinese Jargons in Darknet [C], Proceeding of 15th ACM International Conference on Web Search and Data Mining (WSDM 2022), Phoenix, Arizona, USA, February 21-25, 2022, pp. 458–466. [Code] [Dataset] [PDF]

  7. Wenjing Zeng, Rui Tang, Haizhou Wang*, Xingshu Chen, Wenxian Wang. User Identification Based on Integrating Multiple User Information across Online Social Networks [J], Security and Communication Networks, 2021: 5533417.

  8. Hailin Wang, Yiwei Hou, Haizhou Wang*. A Novel Framework of Identifying Chinese Jargons for Telegram Underground Market [C]. Proceeding of 30th IEEE International Conference on Computer Communications and Networks (ICCCN 2021), Athens, Greece, July 19-22, 2021, pp. 1-9. [Code] [Dataset] [PDF]


• FAKE INFORMATION DETECTION

  1. Yicheng Cai, Haizhou Wang*, Hao Cao, Wenxian Wang, Lei Zhang, Xingshu Chen. Detecting Spam Movie Review under Coordinated Attack with Multi-View Explicit and Implicit Relations Semantics Fusion [J], IEEE Transactions on Information Forensics and Security, 2024, 19: 7588-7603. [Code] [Dataset] [PDF]

  2. Xiaoda Wang, Chenxiang Luo, Tengda Guo, Zhangrui Liu, Jiongyan Zhang, Haizhou Wang*. BGEK: External Knowledge-enhanced Graph Convolutional Networks for Rumor Detection in Online Social Networks [C]. Proceeding of the 32nd International Conference on Artificial Neural Networks (ICANN 2023), Heraklion, Crete, Greece, September 26-29, 2023, pp. 291-303. [Code] [Dataset] [PDF]

  3. Xinyu Chen, Haizhou Wang*, Liang Ke, Zhipeng Lu, Hanjian Su, Xingshu Chen.Identifying Cantonese Rumors with Discriminative Feature Integration in Online Social Networks [J], Expert Systems with Applications, 2023, 215: 119347. [Code] [Dataset] [PDF]

  4. Lei Zhang, Xueqiang Song, Xiaoming Zhao, Yuwei Fang, Dong Li, Haizhou Wang*.GAIM: Graph-aware Feature Interactional Model for Spam Movie Review Detection [C], Proceeding of 26th International Conference on Pattern Recognition (ICPR 2022), Montréal, Québec, August 21-25, 2022, pp. 621-628. [Code] [Dataset] [PDF]

  5. Hao Cao, Hanyue Li, Yulin He, Xu Yan, Fei Yang, Haizhou Wang*. GCMK: Detecting Spam Movie Review Based on Graph Convolutional Network Embedding Movie Background Knowledge [C], Proceeding of 31st International Conference on Artificial Neural Networks (ICANN 2022), Bristol, United Kingdom, September 6-9, 2022, pp. 494–505. [Code] [Dataset] [PDF]

  6. Haizhou Wang*, Sen Wang, Yuhu Han. Detecting Fake News on Chinese Social Media based on Hybrid Feature Fusion Method [J], Expert Systems with Applications, 2022, 208: 118111.

  7. Yifei Jian, Xingshu Chen, Haizhou Wang*. Fake Restaurant Review Detection Using Deep Neural Networks with Hybrid Feature Fusion Method [C], Proceeding of 27th International Conference on Database Systems for Advanced Applications (DASFAA 2022), Hyderabad, India, April 11-14, 2022, pp. 133–148. [Code] [Dataset] [PDF]

  8. Zhou Yang, Xingshu Chen, Haizhou Wang*, Wenxian Wang, Zhenxiong Miao, Tao Jiang. A New Joint Approach with Temporal and Profile Information for Social Bot Detection [J], Security and Communication Networks, 2022: 9119388.

  9. Yuhao Wu, Yuzhou Fang, Shuaikang Shang, Lai Wei, Jing Jin, Haizhou Wang*. A Novel Framework for Detecting Social Bots with Deep Neural Networks and Active Learning [J], Knowledge-Based Systems, 2021, 211: 106525.

  10. Liang Ke, Xinyu Chen, Zhipeng Lu, Hanjian Su, Haizhou Wang*. A Novel Approach for Cantonese Rumor Detection based on Deep Neural Network [C]. Proceeding of 33rd IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), Toronto, Canada. October 11-14, 2020, pp. 1610-1615.

  11. Yuhao Wu, Yuzhou Fang, Shuaikang Shang, Lai Wei, Jing Jin, Haizhou Wang*. Detecting Social Spammers in Sina Weibo Using Extreme Deep Factorization Machine [C], Proceeding of the 21st International Conference on Web Information Systems Engineering (WISE 2020), Amsterdam and Leiden, The Netherlands, October 20-21, 2020, PP. 170-182.


• SOCIAL NETWORK SECURITY

  1. Zijian Zhou, Shuoyu Hu, Kai Yang, Haizhou Wang*. TKSP: Long-term Stance Prediction for Social Media Users by Fusing Time Series Features and Event Dynamic Evolution Knowledge [C]. Proceeding of the 16th International Conference on Knowledge Science, Engineering and Management (KSEM 2023), Guangzhou, China, August 16-18, 2023, pp. 406-421. [Code] [Dataset] [PDF]

  2. Rui Tang, Zhenxiong Miao, Shuyu Jiang, Xingshu Chen*, Haizhou Wang*, Wei Wang. Interlayer Link Prediction in Multiplex Social Networks Based on Multiple Types of Consistency between Embedding Vectors [J], IEEE Transactions on Cybernetics, 2023, 53(4): 2426-2439.

  3. Yicheng Cai, Haizhou Wang*, Huali Ye, Yanwen Jin, Wei Gao. Depression Detection on Online Social Network with Multivariate Time Series Feature of User Depressive Symptoms [J], Expert Systems with Applications, 2023, 217: 119538. [Code] [Dataset] [PDF]

  4. Haizhou Wang, Yixuan Fang, Shuyu Jiang, Xingshu Chen, Xiaohui Peng, Wenxian Wang*. Unveiling Qzone: A Measurement Study of a Large-scale Online Social Network [J], Information Sciences, 2023, 623: 146-163.

  5. Rui Tang, Xingshu Chen, Chuancheng Wei, Qindong Li, Wenxian Wang*, Haizhou Wang, Wei Wang. Interlayer Link Prediction based on Multiple Network Structural Attributes [J], Computer Networks, 2022, 203: 108651.

  6. Yiding Wang, Zhenyi Wang, Chenghao Li, Yilin Zhang, Haizhou Wang*. Online Social Network Individual Depression Detection Using A Multitask Heterogenous Modality Fusion Approach [J], Information Sciences, 2022, 609: 727-749. [Code] [Dataset] [PDF]

  7. Rui Tang, Shuyu Jiang, Xingshu Chen*, Haizhou Wang, Wenxian Wang, Wei Wang*. Interlayer link prediction in multiplex social networks: An iterative degree penalty algorithm [J]. Knowledge-Based Systems, 2020, 105598.

  8. Yiding Wang, Zhenyi Wang, Chenghao Li, Yilin Zhang, Haizhou Wang*. A Multimodal Feature Fusion-Based Method for Individual Depression Detection on Sina Weibo [C]. Proceedings of 39th IEEE International Performance Computing and Communications Conference (IPCCC 2020), Austin, Texas, USA, November 6-8, 2020, pp. 1-8.

• MULTIMEDIA CONTENT SECURITY

  1. Rui Guo, Ke Yu, Enbo Yu, Qianqian Qiao, Zhenyu Mao, Haizhou Wang*. SPC-GAN-Attack: Attacking Slide Puzzle CAPTCHAs by Human-Like Sliding Trajectories Based on Generative Adversarial Network [C]. Proceeding of the 20th EAI International Conference on Security and Privacy in Communication Networks (SecureComm 2024), Dubai, United Arab Emirates, October 28-30, 2024. (Accepted) [Code] [Dataset] [PDF]

  2. Zhaoyi Liu, Zhuohang Jiang, Wendian Luo, Zhuoyao Fan, Haoda Di, Yufan Long, Haizhou Wang*. TPTGAN: Two-Path Transformer-Based Generative Adversarial Network Using Joint Magnitude Masking and Complex Spectral Mapping For Speech Enhancement [C]. Proceeding of the 30th International Conference on Neural Information Processing (ICONIP2023), Changsha, China, November 20-23, 2023, pp. 48–61.

  3. Botao Xu, Haizhou Wang*. VRC-GraphNet: A Graph Neural Network-based Reasoning Framework for Attacking Visual Reasoning Captchas [C]. Proceeding of the 19th EAI International Conference on Security and Privacy in Communication Networks (SecureComm 2023), Hong Kong, China, October 19-21, 2023. (Accepted) [Code] [Dataset] [PDF]

  4. Yucheng Fu, Guoheng Sun, Han Yang, Juntian Huang, Haizhou Wang*. Fighting Attacks on Large Character Set CAPTCHAs Using Transferable Adversarial Examples [C]. Proceeding of 33rd International Joint Conference on Neural Networks (IJCNN 2023), Queensland, Australia, June 18-23, 2023, pp. 1-10. [Code] [Dataset] [PDF]

  5. Mingcheng Zhu, Rongchuan Zhang, Haizhou Wang*. Recognizing Irrelevant Faces in Short-Form Videos Based on Deep Learning and Feature Fusion [J], Neurocomputing, 2022, 501: 694-704.

  6. Chunhui Li, Xingshu Chen*, Haizhou Wang*, Yu Zhang. End-to-End Attack on Text-based CAPTCHAs Based on Cycle-Consistent Generative Adversarial Network [J]. Neurocomputing, 2021, 433: 223-236.

  7. Haizhou Wang*, Xingshu Chen, Wenxian Wang, Mei Ya Chan. Content Pollution Propagation in the Overlay Network of Peer-to-Peer Live Streaming Systems: Modeling and Analysis [J]. IET Communications, 2018, 12(17): 2119-2131.

  8. Haizhou Wang, Xingshu Chen*, Wenxian Wang, Mei Ya Chan, Xiaosong Wu. Exploring the Capture of Accurate Snapshots in Large-Scale P2P Live Streaming Systems [J]. International Journal of Communication Systems, 2017, 30(1): e2952.


• OTHER SECURITY TOPICS

  1. Zhenxiong Miao, Xingshu Chen, Haizhou Wang*, Rui Tang, Zhou Yang, Tiemai Huang, Wenyi Tang. Detecting Offensive Language based on Graph Attention Networks and Fusion Features [J], IEEE Transactions on Computational Social Systems, 2024, 11(1): 1493-1505.

  2. Shuyu Jiang, Dengbiao Tu, Xingshu Chen*, Rui Tang, Wenxian Wang, Haizhou Wang*. DKCS: A Dual-Knowledge Enhanced Abstractive Cross-Lingual Summarization Method based on Graph Attention Networks [C]. Proceeding of the 30th International Conference on Neural Information Processing (ICONIP2023), Changsha, China, November 20-23, 2023, pp. 109–121.

  3. Tengda Guo, Lianxin Lin, Hang Liu, Chengping Zheng, Zhijian Tu, Haizhou Wang*. Implicit Offensive Speech Detection Based on Multi-feature Fusion [C]. Proceeding of the 16th International Conference on Knowledge Science, Engineering and Management (KSEM 2023), Guangzhou, China, August 16-18, 2023, pp. 27-38.

  4. Lei Zhang, Xiaoming Zhao, Xueqiang Song, Yuwei Fang, Dong Li, Haizhou Wang*. A Novel Chinese Sarcasm Detection Model Based on Retrospective Reader [C], Proceeding of 28th International Conference on Multimedia Modeling (MMM 2022), Qui Nhon, Vietnam, April 5-8, 2022, pp. 267–278.

  5. Yu Wang, Bingjie Wei, Shuhua Ruan*, Xingshu Chen, Haizhou Wang. Hierarchical Network Emotional Assistance Mechanism for Emotion Cause Extraction [J], Security and Communication Networks, 2022: 3597771.

  6. Yifei Jian, Hongbo Kuang, Chenglong Ren, Zicheng Ma, Haizhou Wang*. A Novel Framework for Image-Based Malware Detection with a Deep Neural Network [J], Computers & Security, 2021, 109: 102400.

RESEARCH TEAM

Gang Zhou
Gang Zhou
Master Student 2022

Hello,I'm ZhouGang,majoring cyber security.I am interested in content security of social media,and also a person who loves life.

Gang Zhou
Di Jin
Di Jin
Master Student 2022

My name is Jindi, an easy-going and earnest person with a pleasant mature attitude. Stay simple, stay naive.

Di Jin
Fei Yang
Fei Yang
Master Student 2022

I am YangFei, an outgoing and energetic person with positive work attitude and be willing and able to work diligently.

Fei Yang
YaNing Chen
YaNing Chen
Master Student 2022

Hello, I'm ChenYaning, working hard at cyberspace security. I am a love life, love of learning.Try to be better.

YaNing Chen
Jing Li
Jing Li
Master Student 2023

Hello, my name is LiJing, majoring in cyberspace security. I am very interested in the field of fake news detection. Music and photography are my hobbies. Wishing you a wonderful day:)

Jing Li
siyu xie
siyu xie
Master Student 2023

Pursue freedom and maintain enthusiasm, for work and for life. Go on the path of my choice, fearlessly and move forward indomitably

siyu xie
wenhui ye
wenhui ye
Master Student 2023

Open-minded and calm.Research interests are social network analysis and AI.

wenhui ye
ziyue luo
ziyue luo
Master Student 2023

Hello, I'm Luo Ziyue, and my major is cyberspace security. My hobby is music and I can play a little piano.

ziyue luo
peiran zhang
peiran zhang
Master Student 2023

Hi,my name is ZhangPeiRan,majoring cyber security.My research direction is social network analysis.Welcome researchers with similar research directions to communicate with me.

peiran zhang
botao xu
botao xu
Master Student 2024

Dedicated in my work, passionate about life, always eager to learn new things. I enjoy exploring security technologies and have a keen interest in calligraphy.

botao xu
jilin qiu
jilin qiu
Master Student 2024

My name is Qiu Jilin. Academic discussion is very welcome. Keep zealous and keep positive.

jilin qiu
yiju huang
yiju huang
Master Student 2024

Hi! I'm HuangYiJu, majoring in cyber security. My research interests include stance detection and fake information detection. Hobbies: piano and basketball.

yiju huang
zihao tang
zihao tang
Master Student 2024

Hi,I am TangZihao！Majoring in cyberspace security,I love basketball.Believe that we can all become a better man.

zihao tang
xiaohu luo
xiaohu luo
Master Student 2024

I'm Xiaohu Luo. My research interests in my master's degree are open source intelligence analysis and social network analysis. Hobbies: badminton, billiards.

xiaohu luo

Alumni



Contact Me

Contact Me

Most of the time, I am working at the office No. 1012 in the building of School of Cyber Science and Engineering, Sichuan University. If you want to contact me, please feel free to send an email to whzh.nc@scu.edu.cn. I will get back to you as soon as possible.

Address

School of Cyber Science and Engineering, Sichuan University, Chengdu, China, 610207

Office

No.1012, Interdisciplinary Research and Innovation Building, Jiangan Campus of Sichuan University

Cell Phone

+86-028-85418825

Email

whzh.nc@scu.edu.cn