Ziyu's homepage

Associate  Professor, Ph.D. Supervisor

School of Cyber Science and Technology, Sun Yat-sen University

Email: luziyuhku@gmail.com

BIO

I am currently an Associate  Professor at School of Cyber Science and Technology, Sun Yat-sen University. Before joining SYSU, I was an Associate  Professor in Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. I received my Ph.D. from the Department of Computer Science, The University of Hong Kong in 2016, supervised by  Prof. Nikos Mamoulis and Prof. David Wai-lok Cheung. I was a research associate at Department of Computing, The Hong Kong Polytechnic University, and collaborate with Prof. Wenjie Li during 2016-2017.

About my surname: due to the change of 吕 symbol (from Lu to Lyu) in the China Passport system.

Research Position Opening: I am hiring a few self-motivated Postdocs/Ph.D./Master/intern students. If interested, drop your CV to me.  

For research intern application, please read the internship notes.

RESEARCH INTERESTS

• Secure and Trusted AI: Reliable AI Algorithms,  AIGC Security 

• Intelligent Information Retrieval: Recommender System, User Modeling and Understanding, Knowledge Acquisition

• Natural Language Processing:  Large Language Foundation Models (LLM), Multimodal Knowledge Extraction (Vision-Language), Knowledge Representation Learning and Reasoning

• Spatial-temporal Analysis and Prediction: Location-aware Social Network Analysis, Real-time Pushing Algorithm, Transportation Data Analysis,  Time Series Forecasting

• Knowledge Intelligence Powered Applications: Fintech, Intelligent Transportation

SELECTED PUBLICATIONS (* Corresponding Author)

      DBLP(Ziyu Lu), DBLP (Ziyu Lyu), Google Scholar , Full Publication List

1. Yanlin Wang, Lianghong Guo, Ensheng Shi, Wenqing Chen, Jiachi Chen, Wanjun Zhong, Menghan Wang, Hui Li, Ziyu Lyu, Hongyu Zhang, and Zibin Zheng, "You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search," To appear in IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023.  CCF B

2. Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu,  Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community, AI Open, 2023.

3. Ziyu Lyu, Yue Wu, Junjie Lai, Min Yang, Chengming Li,  Wei Zhou, Knowledge Enhanced Graph Neural Networks for Explainable Recommendation, TKDE 2022.  CCF A/JCR Q1

4. Yue Ma, Yali Wang, Yue Wu, Ziyu Lyu, Siran Chen, Xiu Li, Yu Qiao, Visual Knowledge Graph for Human Action Reasoning in Videos, Proceedings of the 29th ACM International Conference on Multimedia (MM), Lisbon, October, 2022.  CCF A

5. Xiao Liu, Min Yang, Ziyu Lyu*, Dongding Lin, Piji Li, Ruifeng Xu, Hierarchical Conversation Flow Transition and Reasoning for Conversational Machine Comprehension, Neural Computing and Applications, 2022. 

6. Ziyu Lyu, Min Yang, Hui Li, Multi-view group representation learning for location-aware group recommendation, Information Sciences, Volume 580, November 2021, Pages 495-509. CCF B/JCR Q1

7. Yitong Yu, Ziyu Lu*, Yang Li, Delong Liu, ASTS: Attention based Spatio-temporal Sequential Framework for Movie Trailer Genre Classification, Multimedia Tools and Applications, 2020. 

8. Min Yang, Lei Chen, Ziyu Lyu*, Junhao Liu, Ying Shen, Qingyao Wu, Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering, Neural Networks, Volume 132, December 2020, Pages 53-65. CCF B/JCR Q1

9. Hui Li, Yanlin Wang,  Ziyu Lyu, Jieming Shi, Multi-task Learning for Recommendation over Heterogeneous Information Network, TKDE (accepted online) CCF A/JCR Q1

10. Hao Wang,  Ziyu Lu, Preference-aware sequence matching for location-based services, Geoinformatica, 24, pages107–131, 2020. CCF B

11. Ziyu Lu, Haihui Tan, Wenjie Li, An Evolutionary Context-aware Sequential Model for Topic Evolution of Text Stream, Information Sciences, Volume 473, Pages 166-177, 2019. (JCR1, IF:5.25). CCF B/JCR Q1

12. Yuqiu Qian, Ziyu Lu, Nikos Mamoulis, David W. Cheung, P-LAG: Location-aware Group Recommendation for Passive Users, Proceedings of the 15th International Symposium on Spatial and Temporal Databases (SSTD), Arlington VA, August, 2017.

13. Haihui Tan, Ziyu Lu, Wenjie Li, Neural Network based Reinforcement Learning for Real-time Pushing on Text Stream, Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Tokyo, Japan, July, 2017. CCF A

14.  Ziyu Lu, Hao Wang, Nikos Mamoulis, Wenting Tu, David W. Cheung, Personalized Location Recommendation by Aggregating Multiple Recommenders in Diversity. Geoinformatica, 21(3): 459-484, July, 2017. CCF B

15. Ziyu Lu, Hui Li, Nikos Mamoulis and David W. Cheung, HBGG: a Hierarchical Bayesian Geographical Model for Group Recommendation, Proceedings of the SIAM International Conference on Data Mining (SDM), Houston, TX, April 27-29, 2017. CCF B

16. Min Yang, Ziyu Lu, Xiaojun Chen, Fei Xu, Detecting Review Spammer Groups, The 31th AAAI Conference on Artificial Intelligence (AAAI), San Francisco,  February 4–9,  2017. CCF A

17.  Ziyu Lu, Panayiotis Tsaparas, Evaggelia Pitoura, Nikos Mamoulis, Sentiment-based Topic Suggestion for Micro-reviews, The 10th  International AAAI Conference on Web and Social Media (ICWSM), Cologne, Germany, May, 2016. CCF B

18. Ziyu Lu, N. Mamoulis, and D. W. Cheung, A Collective Topic model for Milestone Paper Discovery, Proceedings of the 37th Annual ACM SIGIR Conference (SIGIR), Gold Coast, Australia, July 2014. CCF A

Academic Services

• Professional Membership:  Committee member of China Computer Federation (CCF)-Natural Language Processing Professional Committee, Committee member of Chinese Information Processing Society of China (CIPS)-Information Retrieval Professional Committee & Young Researcher Committee

• Program Committee: AAAI2019-2024, ACL2020-2023, EMNLP2021-2023, MM2023 

• Journal Reviewers: TKDE, TNNLS, Pattern Recognition, Geoinformatica, WWWJ

THESIS / DISSERTATION

Location-aware Recommendation Problems, September 2016. (supervised by Prof. Nikos Mamoulis and Prof. David Wai-lok Cheung)