CHENG ZHIYONG
Professor
School of Computer Science and Information Engineering
Hefei University of Technology (HFUT)
Hefei University of Technology (Emerald Lake Campus), 485 Danxia Road,
Hefei 230601, China
Email: jason döt zy döt cheng ät gmail döt com
Tel: +86-18824837045
Short Bio
I am a full professor of computer science at the School of Computer Science and Information Engineering , at Hefei University of Technology (HFUT). From 2019 to 2023, I was a researcher at Shandong Artificial Intelligence Insitute, China. From 2016 to 2018, I was a research fellow in the School of Computing, National University of Singapore, working with Professor Mohan Kankanhalli. I got my Ph.D degree from Singapore Management University (SMU) in 2016, under the supervision of Prof. Jialie Shen. I received my B.E. and M.E. degree from Huazhong University of Science & Technology (HUST) and Xi'an Jiaotong University (XJTU), in 2007 and 2010, respectively. I visited Language Technologies Institute, Carnegie Mellon University, and worked with Prof. Alexander G. Hauptmann from Aug. 2014 to July 2015. I was a research assistant in SIS, SMU from November 2009 to July 2011.
Research Interests
Information Retrieval & Recommendation
Social Media Analysis
Multimedia Systems
Recent publications (Full list) (# the students I advised when preparing the papers, * corresponding author )
Tao Zhuo, Zhiyong Cheng, Hehe Fan, and Mohan Kankanhalli. Prior-Free Continual Learning with Unlabeled Data in the Wild. [arXiv ]
Tao Zhuo, Zhiyong Cheng, Zan Gao, Mohan Kankanhalli. Continual Learning with Strong Experience Replay. [arXiv]
Fan Liu, Yaqi Liu, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli. Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models. [arXiv ]
Fan Liu , Shuai Zhao#, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli. Cluster-based Graph Collaborative Filtering. ACM Transactions on Information Systems (TOIS), accepted. [CCF A]
Zhiyong Cheng, Jianhua Dong#, Fan Liu, Lei Zhu, Xun Yang, Meng Wang. Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation. ACM Transactions on Recommender Systems (TORS), accepted, 2024. [CODE ]
Zhenyang Li, Fan Liu, Yinwei Wei, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli. Attribute-driven Disentangled Representation Learning for Multimodal Recommendation. ACM MM 2024, full paper, accepted. [arXiv]
Mingshi Yan#, Fan Liu, Jing Sun, Fuming Sun, Zhiyong Cheng, Yahong Han. Behavior-Contextualized Item Preference Network for Multi-Behavior Recommendation. ACM SIGIR 2024, full paper, accepted.
Haojie Li, Zhiyong Cheng, Xu Yu, Jinhuan Liu, Guanfeng Liu and Junwei Du. Behavior Pattern Mining-based Multi-Behavior Recommendation. ACM SIGIR 2024, short paper, accepted.
Yu Zhang#, Zhiyong Cheng*, Fan Liu, Xun Yang, Yuxin Peng. Decoupled domain-specific and domain-conditional representation learning for cross-domain recommendation. Information Processing & Management (IPM), 61 (3), 103689, 2024. [CODE ]
Fan Liu, Huilin Chen#, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli. Semantic-guided feature distillation for multimodal recommendation. ACM MM 2023. Ottawa , Canada, 2023 (Full Paper, acceptance rate: 29.3%)
Zhiyong Cheng, Sai Han, Fan Liu, Lei Zhu, Zan Gao, Yuxin Peng. Multi-behavior Recommendation with Cascading Graph Convolution Networks. The Web Conference 2023 (WWW’23): 1181-1189, 2023. [CODE]
Mingshi Yan#, Zhiyong Cheng*, Chen Gao, Jing Sun, Fan Liu, Fuming Sun, Haojie Li. Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation. ACM TOIS, 42(1), 10:1-26, 2023. [Axiv][CODE]
Fan Liu, Huilin Chen#, Zhiyong Cheng, Anan Liu, Liqiang Nie, Mohan Kankanhalli. Disentangled Multimodal Representation Learning for Recommendation. IEEE TMM, ,25: 7149-7159, 2023. [Axiv][CODE]
Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie and Mohan Kankanhalli. Privacy-Preserving Synthetic Data Generation for Recommendation. ACM SIGIR'22. Online, 2022. [CCF A][Axiv][CODE]
Ansong Li#, Zhiyong Cheng*, Fan Liu, Zan Gao, Weili Guan, Yuxin Peng. Disentangled graph neural networks for session-based recommendation. IEEE TKDE, 35(8): 7870-7882 , 2023. [Axiv ][CODE]
Yangyang Guo, Liqiang Nie, Harry Cheng, Zhiyong Cheng, Mohan Kankanhalli, Alberto Del Bimbo. On Modality Bias Recognition and Reduction. ACM TOMM, 19(3):103:1 -103: 22, 2023. [Axiv][CODE]
Zhiyong Cheng, Fan Liu, Shenghan Mei, Yangyang Guo, Lei Zhu, Liqiang Nie. Feature-level Attentive ICF for Recommendation. ACM TOIS. 40(4): 75:1-75:24, 2022. [PDF] [CODE]
Yangyang Guo#, Liqiang Nie*, Zhiyong Cheng*, Feng Ji, Ji Zhang, Alberto Del Bimbo. AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss.IJCAI, 2021. (Full Paper, acceptance rate: 13.9%). [CCF A][PDF][CODE]
Xinxiao Zhao#, Zhiyong Cheng*, Lei Zhu, Jiecai Zheng, Xueqing Li. UGRec: Modeling Directed and Undirected Relations for Recommendation. ACM SIGIR, 2021. ((Full Paper, acceptance rate: 21%). [PDF][CODE]
Fan Liu#, Zhiyong Cheng*, Lei Zhu, Zan Gao, Liqiang Nie*. Interest-aware Message-Passing GCN for Recommendation. The Web Conference 2021 (WWW'21), Online. (Full Paper, acceptance rate: 20.6%).[PDF][CODE]
Haoyu Tang#, Jihua Zhu, Meng Liu, Zan Gao, Zhiyong Cheng*. Frame-wise Cross-modal Matching for Video Moment Retrieval. IEEE TMM, 24: 1338-1349, 2022. [PDF][CODE]
Fan Liu#, Zhiyong Cheng*, Lei Zhu, Chenghao Liu, Liqiang Nie*. An Attribute-aware Attentive GCN Model for Attribute Missing in Recommendation. IEEE TKDE, 34(9): 4077-4088 , 2022.[PDF] [CODE ]
Yangyang Guo#, Zhiyong Cheng*, Jiazheng Jing, Yanpeng Lin, Liqiang Nie, Meng Wang. Enhancing Factorization Machines with Generalized Metric Learning. IEEE TKDE, 34(8): 3740-3753, 2022. [PDF][CODE]
Tao Zhuo, Zhiyong Cheng, Peng Zhang, Yongkang Wong, Mohan Kankanhalli. Unsupervised Online Video Object Segmentation with Motion Property Understanding. IEEE TIP, 29: 237-249,2020 . [PDF][CODE]
Fan Liu#, Zhiyong Cheng*, Changchang, Yinglong Wang, Liqiang Nie*, Mohan Kankanhalli. User Diverse Preference Modeling via Multimodal Attentive Metric Learning. ACM MM, Nice, France, 2019. (Oral, acceptance rate: 26.5%) [PDF][CODE]
Yinwei Wei#, Zhiyong Cheng*, Xuzheng Yu, Zhou Zhao, Lei Zhu and Liqiang Nie*. Personalized Hashtag Recommendation for Micro-videos. ACM MM, Nice, France, 2019. (Full Paper, acceptance rate: 26.5%)[PDF] [CODE]
Tao Zhuo, Zhiyong Cheng*, Peng Zhang, Yongkang Wong, Mohan Kankanhalli. Explainable Video Action Reasoning via Prior Knowledge and State Transitions. ACM MM, Nice, France, 2019. (Oral, acceptance rate: 26.5%) [PDF] [CODE & Dataset]
Yangyang Guo#, Zhiyong Cheng*, Liqiang Nie*, Yibing Liu, Yinglong Wang and Mohan Kankanhalli. Quantifying and Alleviating the Language Prior Problem in Visual Question Answering. ACM SIGIR, Pairs, France, 2019. (Full Paper, acceptance rate: 20%). [PDF][CODE]
Xinyu Guan#, Zhiyong Cheng*, Xiangnan He, Yongfeng Zhang, Zhibo Zhu, Qinke Peng, Tat-Seng Chua. Attentive Aspect Modeling for Review-Aware Recommendation. ACM TOIS, 37 (3), Article 28, 2019 . [PDF][CODE]
Yangyang Guo#, Zhiyong Cheng*, Liqiang Nie*, Yinglong Wang, Jun Ma, Mohan Kankanhalli. Attentive Long Short-Term Preference Modeling for Personalized Product Search. ACM TOIS, 37 (2), Article 19, 2019. [PDF][CODE]
Zhiyong Cheng, Xiaojun Chang, Lei Zhu, Rose C. Kanjirathinkal, Mohan Kankanhalli. MMALFM: Explainable Recommendation by Leveraging Reviews and Images. ACM TOIS, 37 (2), Article 16, 2019. [PDF]
Community Service
Journal Editorial Board / Associate Editor: IEEE TCSS, NPL, DKE, JIIS.
Area Chair or SPC: ACM MM 2019 (Media Interpretation track) , ACM MM Asia 2020, MM 2021, SIGIR 2023, SIGIR-AP 2023, SIGIR 2024, CIKM 2024, SIGIR 2025, CIKM 2025
Guest Editor: MTAP Special Issue on Binary Representation Learning for Large-scale Multimedia Applications
Guest Editor: MTAP Special Issue on Multi-Source and Heterogeneous Multimedia Analytics
Special Session Chair, PCM 2018
Program Committee Member of KDD 2025, WWW 2025, MM 2025, WSDM 2025, MM Asia 2025, ECML/PKDD 2025
Program Committee Member of WWW 2024, KDD 2024, WSDM 2024, MM 2024
Program Committee Member of WSDM 2023, ICME 2023, ECML/PKDD 2023, ACM MM 2023, MMM 2023, ICME 2023, MM Asia 2023
Program Committee Member of WSDM 2022, SIGIR 2022, KDD 2022, AAAI 2022, ACM MM 2022, MMM 2022, ICME 2022, MM Asia 2022
Program Committee Member of WSDM 2021, AAAI 2021, MMM 2021, SIGIR 2021, ICME 2021, AsiaMM 2021, ECML/PKDD 2021
Program Committee Member of ACM MM 2020, SIGIR 2020, IJCAI 2020, ICME 2020, ECML-PKDD 2020, MMM 2020
Program Committee Member of CIKM 2019, MMM 2019, MM Asia 2019, NLPCC 2019, CCL 2019, CSMT 2019, CCIS 2019
Program Committee Member of PCM 2018, CCL 2018, IMMM 2018
Program Committee Member of ACM MM 2017, CCL 2017, ICIMCS 2017
Program committee member, the ICDM 2015 workshop on Social Media Retrieval and Analysis (SoMeRA), 2015
Program committee member, the 21st International Conference on Multimedia Modelling (MMM) Special Session: Social Geo-Media Analytics and Retrieval, 2015
Invited Reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE)
Invited Reviewer for ACM Transactions on Information Systems (TOIS)
Invited Reviewer for IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Invited Reviewer for IEEE Transactions on Image Processing (TIP)
Invited reviewer for IEEE Transactions on Multimedia (TMM)
Invited reviewer for IEEE Transactions on Cybernetics (TCYB)
Invited reviewer for IEEE Transactions on Intelligent Systems and Technology (TIST)
Invited reviewer for Pattern Recognition (PR)
Invited reviewer for Journal of the Association for Information Science and Technology (JASIST)
Invited reviewer for Information Sciences
Invited reviewer for PLOS ONE
Invited reviewer for Journal of Computer Vision and Image Understanding (CVIU)
Invited reviewer for Multimedia Tools and Applications (MTAP)
Invited reviewer for IEEE Access
Invited reviewer for Journal of Visual Communication and Image Representation (JVCI)
External Reviewer of ACM MM 2017, ICCV 2017, ICMR 2015, WSDM 2014, PAKDD 2014