^ The students I advised when preparing the papers; * Corresponding author.

Journal Papers

1. Mingshi Yan, Zhiyong Cheng, Yahong Han, Meng Wang. Latent Factor Modeling with Expert Network for Multi-Behavior Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 37(10): 6020-6031, 2025.  [CCF A]

2. Mingshi Yan, Zhiyong Cheng, Fan Liu, Yingda Lyu. User Invariant Preference Learning for Multi-Behavior Recommendation. ACM Transactions on Information Systems (TOIS), 43(4): 110:1-110:24, 2025.  [CCF A]

3. Ziang Lu, Lei Guo*, Xu Yu, Zhiyong Cheng, Xiaohui Han, Lei Zhu. Federated Semantic Learning for Privacy-preserving Cross-domain Recommendation, ACM Transactions on Information Systems (TOIS), 43(4): 103:1-103:27,  2025.  [CCF A]

4. Fan Liu, Yaqi Liu, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli. Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models. ACM Transactions on Information Systems (TOIS), 43(2), 44:1-26, 2025.  [CCF A]

5. Gangqi Chen, Zhaoyong Mao, Junge Shen, Zhiyong Cheng. Pseudo Label Guided Object Detection in Sparsely Annotated Underwater Optical Images. IEEE Transactions on Geoscience and Remote Sensing (TGRS),  63: 1-21 (2025). 

6. Chenlin Meng, Xin Wang, Chi Zhang, Zhaoyong Mao, Junge Shen, Zhiyong Cheng. Breakthrough in Fine-Grained Video Anomaly Detection on Highway: New Benchmark and Model. Expert Systems with Applications, accepted. 

7. Fan Liu , Shuai Zhao^, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli. Cluster-based Graph Collaborative Filtering.  ACM Transactions on Information Systems (TOIS), 42 (6), 1-24, 2024. [CCF A]

8. 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, Volume 2, Issue 4, Article No.: 31, Pages 1 - 27, 2024. [CODE ]

9. 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 61 (3), 103689, 2024.  [CODE ]

10. Mingshi Yan^, Zhiyong Cheng*, Chen Gao, Jing Sun, Fan Liu, Fuming Sun, Haojie Li. Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation.   ACM Transactions on Information Systems (TOIS),  42(1), 10:1-26, 2024.  [Axiv][CODE] [CCF A]

11. Lei Guo, Hao Liu, Lei Zhu, Weili Guan, Zhiyong Cheng. DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation. ACM Transactions on Information Systems (TOIS),  42(2), 48:1-27, 2024.   [CCF A]

12. 严明时^，程志勇，孙静，王法胜，孙福明. 基于两阶段学习的多行为推荐. 软件学报，2023

13. Teng Sun, Liqiang Jing, Yinwei Wei, Xuemeng Song, Zhiyong Cheng, Liqiang Nie. Dual Consistency-enhanced Semi-supervised Sentiment Analysis towards COVID-19 Tweets. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(12): 12605-12617 , 2023.   [CCF A]

14. Fan Liu, Huilin Chen, Zhiyong Cheng,  Anan Liu, Liqiang Nie, Mohan Kankanhalli. Disentangled Multimodal Representation Learning for Recommendation.  IEEE Transactions on Multimedia (TMM),25: 7149-7159, 2023.   [Axiv][CODE] [CCF B]

15. Yunxiao Wang, Meng Liu, Yinwei Wei, Zhiyong Cheng, Yinglong Wang, Liqiang Nie.  Siamese Alignment Network for Weakly Supervised Video Moment Retrieval.  IEEE Transactions on Multimedia (TMM), 25: 3921-3933 , 2023.   [CCF B]

16. Qingyao Ai et al. Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. AI Open, 4:80-90, 2023. 

17. Ansong Li^, Zhiyong Cheng*, Fan Liu, Zan Gao, Weili Guan, Yuxin Peng. Disentangled Graph Neural Networks for Session-based Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(8): 7870-7882, 2023.[Axiv ][CODE] [CCF A]

18. Zan Gao, Xinglei Cui, Tao Zhuo, Zhiyong Cheng, Anan Liu, Meng Wang, Sheng-yong Chen. A Multitemporal Scale and Spatial-Temporal Transformer Network for Temporal Action Localization. IEEE Transactions on Human-Machine Systems, 53(3): 569-580, 2023.

19. Zan Gao, Chao Sun, Zhiyong Cheng, Weili Guan, Anan Liu, Meng Wang. TBNet: Two-Stream Boundary-aware Network for Generic Image Manipulation Localization, IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(7): 7541-7556, 2023.   [CCF A]

20. Lei Zhu, Yang Xu, Jingjing Li, Weili Guan, Zhiyong Cheng. Explainable Discrete Collaborative Filtering.  Transactions on Knowledge and Data Engineering (TKDE), 35(7): 6901-6915, 2023.   [CCF A]

21. Dan Shi, Lei Zhu, Jingjing Li, Zhiyong Cheng, Zheng Zhang. Flexible multiview spectral clustering with self-adaptation. IEEE Transactions on Cybernetics (TCYB), 53(4): 2586-2599, 2023.  [CCF B, 一区]

22. Yangyang Guo, Liqiang Nie, Harry Cheng, Zhiyong Cheng, Mohan Kankanhalli, Alberto Del Bimbo. On Modality Bias Recognition and Reduction. Transactions on Multimedia Computing Communications and Applications (TOMM), 19(3):103:1 -103: 22, 2023.  [Axiv]

23. Dan Shi, Lei Zhu, Jingjing Li, Zhiyong Cheng, Zhenguang Liu. Binary Label Learning for Semi-supervised Feature Selection. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(3): 2299-2312, 2023.   [CCF A]

24. Yang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Zheng Zhang, Huaxiang Zhang . Multi-modal Discrete Collaborative Filtering for Efficient Cold-start Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(1): 741-755, 2023.   [CCF A]

25. Dan Shi, Lei Zhu, Xiao Dong, Xuemeng Song, Jingjing Li, Zhiyong Cheng. Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection. ACM Transactions on Knowledge Discovery from Data (TKDD), 17(8): 1-25, 2023. [CCF B]

26. Yu Zhang^, Fan Liu, Yupeng Hu, Xiaoli Li, Xiangjun Dong, Zhiyong Cheng*. Dual attentive graph convolutional networks for cross-domain recommendation. Journal of Intelligent & Fuzzy Systems,  44(5): 7367-7378, 2023.

27. Fan Liu^, Zhiyong Cheng*, Lei Zhu, Chenghao Liu, Liqiang Nie*. An Attribute-aware Attentive GCN Model for Attribute Missing in Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(9): 4077-4088 , 2022.   [CCF A][PDF][CODE]

28. Yangyang Guo^, Zhiyong Cheng*, Jiazheng Jing, Yanpeng Lin, Liqiang Nie, Meng Wang. Enhancing Factorization Machines with Generalized Metric Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(8): 3740-3753, 2022.   [CCF A] [PDF][CODE]

29. Lei Zhu, Chaoqun Zheng, Zhiyong Cheng, Liqiang Nie, Jingjing Li, Huaxiang Zhang. Efficient Multi-modal Hashing with Online Query-Adaption for Multimedia Retrieval.  ACM Transactions on Information Systems (TOIS), ACM Trans. Inf. Syst. 40(2): 41:1-41:36, 2022.   [CCF A]. 

30. Zhiyong Cheng, Fan Liu, Shenghan Mei, Yangyang Guo, Lei Zhu, Liqiang Nie. Feature-level Attentive ICF for Recommendation.  ACM Transactions on Information Systems (TOIS),  ACM Trans. Inf. Syst. 40(4): 75:1-75:24, 2022.  [PDF]  [CODE]

31. Haoyu Tang^, Jihua Zhu, Meng Liu, Zan Gao, Zhiyong Cheng*. Frame-wise Cross-modal Matching for Video Moment Retrieval. IEEE Transactions on Multimedia (TMM),  IEEE Trans. Multim. 24: 1338-1349, 2022.[PDF][CODE]

32. Yaqian Zhou, Yu Liu, Heyu Zhou, Zhiyong Cheng, Xuanya Li, An-an Liu. Learning Transferable and Discriminative Representations for 2D Image-Based 3D Model Retrieval. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT),  32(10): 7147-7159, 2022. [CCF B]

33. Zan Gao, Ming Guo, Tongwei Ren, Anan Liu, Zhiyong Cheng, Shengyong Cheng. Pairwise Two-Stream ConvNets for Cross-domain Action Recognition with Small Data.  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Trans. Neural Networks Learn. Syst. 33(3): 1147-1161, 2022. [CCF B, 一区]

34. Tianwei Zhang, Chuanhou Sun, Zhiyong Cheng, Xiangjun Dong. AENAR: An aspect-aware explainable neural attentional recommender model for rating predication. Expert Syst. Appl. 198: 116717, 2022.

35. Junge Shen, Haopeng Yang, Jiawei Li, Zhiyong Cheng. Assessing learning engagement based on facial expression recognition in MOOC's scenario. ACM Multimedia System Journal, Multim. Syst. 28(2): 469-478, 2022.  [CCF C]

36. Yangyang Guo^, Liqiang Nie, Zhiyong Cheng, Qi Tian, Min Zhang.  Loss Re-scaling VQA: Revisiting the Language Prior Problem from a Class-imbalance View.   IEEE Transactions on Image Processing (TIP) ,31: 227-238 , 2022.   [CCF A] [CODE].

37. Xiaolin Chen, Xuemeng Song, Siwei Cui, Tian Gan, Zhiyong Cheng, Liqiang Nie. User Identity Linkage across Social Media via Attentive Time-aware User Modeling. IEEE Transactions on Multimedia (TMM), 23: 3957-3967, 2021.   [CCF B]

38.  Zan Gao, Hua Zhang, Lishuai Gao, Zhiyong Cheng, Richang Hong, Shenyong Chen. DCR: A Unified Framework for Holistic/Partial Personal ReID. IEEE Transactions on Multimedia (TMM), 23: 3332-3345.  [CCF B]

39.  Chaoqun Zheng, Lei Zhu, Zhiyong Cheng, Jingjing Li, Anan Liu. Adaptive Partial Multi-view Hashing for Efficient Social Image Retrieval. IEEE Transactions on Multimedia (TMM), 23: 4079-4092, 2021.  [CCF B]

40. Guofei Sun, Yongkang Wong, Zhiyong Cheng, Mohan Kankanhalli, Weidong Geng, Xiangdong Li. DeepDance: Music-to-Dance Motion Choreography with Adversarial Learning. IEEE Transactions on Multimedia (TMM), vol. 23, pp. 497-509, 2021.  [CCF B]

41. Xiao Dong, Li Liu, Lei Zhu, Zhiyong Cheng, Huaxiang Zhang . Unsupervised Deep K-means Hashing for Efficient Image Retrieval and Clustering. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 31(8),3266-3277, Aug, 2021. [CCF B]

42.  Lei Zhu, Hui Cui, Zhiyong Cheng, Jingjing Li, Zheng Zhang. Dual-level Semantic Transfer Deep Hashing for Efficient Social Image Retrieval.  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 31(4): 1478-1489 (2021). [CCF B]

43.  Xiaolin Chen, Xuemeng Song, Ruiyang Ren, Lei Zhu, Zhiyong Cheng, Liqiang Nie. Fine-grained Privacy Detection with Graph-regularized Hierarchical Attentive Representation Learning. ACM Transactions on Information Systems (TOIS), 38(4): 37:1-37:26 (2020) . [CCF A]

44. Chaoqun Zheng, Lei Zhu, Xu Lu, Jingjing Li, Zhiyong Cheng, Hanwang Zhang. Fast Discrete Collaborative Multi-modal Hashing for Large-scale Multimedia Retrieval.   IEEE Transactions on Knowledge and Data Engineering (TKDE) , 32(11): 2171-2184,  Nov. , 2020.  [CCF A]

45. Tao Zhuo, Zhiyong Cheng, Peng Zhang, Yongkang Wong, Mohan Kankanhalli. Unsupervised Online Video Object Segmentation with Motion Property Understanding.  IEEE Transactions on Image Processing (TIP), 29: 237-249, 2020.  [CCF A] [PDF][CODE]

46. Lei Zhu, Xu Lu, Zhiyong Cheng, Jingjing Li, Huaxiang Zhang. Flexible Multimodal Hashing for Scalable Multimedia Retrieval. ACM Transactions on Intelligent Systems and Technology (TIST),  vol. 11, issue 2, Jan 2020.  [CCF B, 二区]

47. Lei Zhu, Xu Lu, Zhiyong Cheng, Jingjing Li, Huaxiang Zhang. Deep Collaborative Multi-view Hashing for Large-scale Image Search. IEEE Transactions on Image Processing (TIP), 29: 4643-4655 (2020) .  [CCF A]

48. Yudong Han , Lei Zhu, Zhiyong Cheng, jingjing Li, Xiaobai Liu. Discrete Optimal Graph Clustering. IEEE Transactions on Cybernetics (TCYB), 50(4), 1697-1710, 2020.  [CCF B, 一区]

49. Tong Wang, Lei Zhu, Zhiyong Cheng, Jingjing Li, Zan Gao. Unsupervised Deep Cross-model Hashing with Virtual Label Regression. Neurocomputing, 386: 84-96, 2020 (CCF C, 二区)

50. Zhiyong Cheng, Xiaojun Chang, Lei Zhu, Rose C. Kanjirathinkal, Mohan Kankanhalli. MMALFM: Explainable Recommendation by Leveraging Reviews and Images.  ACM Transactions on Information Systems (TOIS), 37 (2),  Article 16, 2019. [CCF A] [PDF]

51. Xinyu Guan^, Zhiyong Cheng*, Xiangnan He, Yongfeng Zhang, Zhibo Zhu, Qinke Peng, Tat-Seng Chua.  Attentive Aspect Modeling for Review-Aware Recommendation.  ACM Transactions on Information Systems (TOIS),  37 (3),  Article 28, 2019. [CCF A] [PDF][CODE]

52. Yangyang Guo^, Zhiyong Cheng*,  Liqiang Nie*, Yinglong Wang, Jun Ma, Mohan Kankanhalli. Attentive Long Short-Term Preference Modeling for Personalized Product Search.  ACM Transactions on Information Systems (TOIS), 37 (2),  Article 19, 2019.   [CCF A]  [PDF][CODE]

53. Junge Shen, Zhiyong Cheng*, Meihong Yang, Bing Han, Shuying Li.  Style-oriented Personalized Landmark Recommendation. IEEE Transactions on Industrial Electronics (TIE), 66(12): 9768-9776, 2019. [JCR 一区] [PDF]

54. Xi Shao, Zhiyong Cheng, Mohan Kankanhalli. Music Auto-Tagging based on the Unified Latent Semantic Modeling. Multimedia Tools and Applications,  78(1), pp. 161-176, 2019. [CCF C]

55. Xu Lu, Lei Zhu, Zhiyong Cheng, Xuemeng Song, Huaxiang Zhang. Efficient discrete latent semantic hashing for scalable cross-modal retrieval. Signal Processing, vol. 154, pp. 217-231, 2019.  [CCF C]

56. Dan Shi, Lei Zhu, Zhiyong Cheng, Zhihui Li, Huaxiang Zhang. Unsupervised Multi-view Feature Extraction with Dynamic Graph Learning. Journal of Visual Communication and Image Representation, vol. 56, pp 256-264, 2018. [CCF C]

57. Lei Zhu, Jialie Shen, Liang Xie, Zhiyong Cheng. Unsupervised Visual Hashing with Semantic Assistant for Content-Based Image Retrieval.IEEE Transactions on Knowledge and Data Engineering (TKDE), vol.2, issue 2, pp, 472-486, 2017. [CCF A]

58. Lei Zhu, Jialie Shen, Liang Xie, Zhiyong Cheng. Unsupervised Topic Hypergraph Hashing for Efficient Mobile Image Retrieval. IEEE Transactions on Cybernetics (TCYB),  vol. 47, no. 11, pp 3941-3954, 2017.  [CCF B, JCR 一区]

59. Junge Shen, Enrang Zheng, Zhiyong Cheng, Cheng Deng.  Assisting Attraction Classification by Harvesting Web Data. IEEE Access, vol.5, 2017

60. Zhiyong Cheng, Jialie Shen. On Effective Location-Aware Music Recommendation. ACM Transactions on Information Systems (TOIS), vol. 34, issue 2, article no. 13, 2016. [PDF] [CCF A]

61. Zhiyong Cheng, Jialie Shen. On Very Large Scale Test Collection for Landmark Image Search Benchmarking. Signal Processing, vol. 124, pp 13-26, 2016. [PDF] [CCF C]

62. Zhiyong Cheng, Jialie Shen, Haiyan Miao. The Effects of Multiple Query Evidences on Social Image Retrieval Systems. ACM Multimedia Systems Journal (ACM MMSJ),  vol. 22, issue 4, pp 509-523, 2016. [PDF] [CCF C]

63. Jialie Shen, Robert H. Deng, Zhiyong Cheng, Liqiang Nie, Shuicheng Yan. On Robust Image Spam Filtering via Comprehensive Visual Modeling. Pattern Recognition (PR),  vol. 48, issue 10, pp 3227-3238, 2015. [PDF] [CCF B]

64. Jialie Shen, Zhiyong Cheng. Personalized Video Similarity Measure. ACM Multimedia Systems Journal (ACM MMSJ), vol. 15, issue 7, pp 421-433, 2011.[PDF] [CCF C]

Conference Papers

1. Shengkai Sun, Zefan Zhang, Jianfeng Dong, Zhiyong Cheng*, Xiaojun Chang, Meng Wang. Towards Efficient General Feature Prediction in Masked Skeleton Modeling. ICCV 2025, full paper, accepted. [CCF A]

2. Huilin Chen, Miaomiao Cai, Fan Liu, Zhiyong Cheng*, Richang Hong, Meng Wang. I$^3$-MRec: Invariant Learning with Information Bottleneck for Incomplete Modality Recommendation. ACM MM 2025, full paper, accepted. [CCF A]

3. Jingyuan Fang, Yang Ning, Xiushan Nie, Xinfeng Liu, Zhiyong Cheng. VLHP: Learning Discriminative Vision-Language Hybrid Prototypes for Weakly Supervised Semantic Segmentation. ACM MM 2025, full paper, accepted. [CCF A]

4. 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, (Full Paper, acceptance rate: 26.2%). [CCF A]

5. 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. [CCF A]

6. 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.[CCF A]

7. Yu Liu, Guihe Qin, Haipeng Chen, Zhiyong Cheng, Xun Yang.  Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval. AAAI 2024. [CCF A]

8. 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), Pages 1181 - 1189.   (Full Paper, acceptance rate: 19.2% ). [CODE][CCF A]

9. Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli. Semantic-guided feature distillation for multimodal recommendation. ACM International Conference on Multimedia (ACM MM’23). Ottawa , Canada, 2023  (Full Paper, acceptance rate: 29.3%)[CCF A]

10. Yujuan Ding, Tracy Mok, Yi Bin, Xun Yang, Zhiyong Cheng.  Modeling multi-relational connectivity for personalized fashion matching. ACM International Conference on Multimedia (ACM MM’23). Ottawa , Canada, 2023  (Full Paper, acceptance rate: 29.3%)[CCF A]

11. Harry Cheng, Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Mohan Kankanhalli. Sample less, learn more: efficient action recognition via frame feature restoration.  ACM International Conference on Multimedia (ACM MM’23). Ottawa , Canada, 2023  (Full Paper, acceptance rate: 29.3%)[CCF A]

12. Wentao Tan, Lei Zhu, Weili Guan, Jingjing Li and Zhiyong Cheng. Bit-aware Semantic Transformer Hashing for Multi-modal Retrieval.  ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR'22). Online, 2022.  [CCF A]

13. Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie and Mohan Kankanhalli. Privacy-Preserving Synthetic Data Generation for Recommendation. ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR'22). Online, 2022.  [Axiv][CODE][CCF A]

14. Yangyang Guo, Liqiang Nie, Yongkang Wong, Yibing Liu, Zhiyong Cheng, Mohan Kankanhalli. A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA. ACM International Conference on Multimedia (ACM MM’22). Online, 2022.  (Full Paper, acceptance rate: 27.9%). [CCF A] [Code]

15. Yangyang Guo^, Liqiang Nie*, Zhiyong Cheng*, Feng Ji, Ji Zhang, Alberto Del Bimbo. AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss. International Joint Conference on Artificial Intelligence (IJCAI’21), Montreal-themed Virtual Reality, 2021. (Full Paper, acceptance rate: 13.9%).  [CCF A][PDF]

16. Xinxiao Zhao^, Zhiyong Cheng*, Lei Zhu, Jiecai Zheng, Xueqing Li. UGRec: Modeling Directed and Undirected Relations for Recommendation. ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR'21). Online, 2021. (Full Paper, acceptance rate: 21%).  [CODE][CCF A]

17. Fan Liu^, Zhiyong Cheng*, Lei Zhu, Zan Gao, Liqiang Nie*. Interest-aware Message-Passing GCN for Recommendation. The Web Conference 2021 (WWW'21), Ljubljana, Slovenia, 2021. (Full Paper, acceptance rate: 20.6%). [CCF A][PDF][CODE]

18.  Hui Cui, Lei Zhu, Jingjing Li, Zhiyong Cheng, Zheng Zhang. Two-pronged Strategy: Lightweight Augmented Graph Network Hashing for Scalable Image Retrieval. ACM International Conference on Multimedia (ACM MM'21), Chengdu, China, 2021. (Full Paper, acceptance rate: 27.9%). [CCF A]

19.  Zan Gao, Yuxiang Shao, Weili Guan, Zhiyong Cheng, Shengyong Chen.  A Novel Patch Convolutional Neural Network for View-based 3D Model Retrieval. ACM International Conference on Multimedia (ACM MM'21), Chengdu, China, 2021. (Full Paper, acceptance rate: 27.9%). [CCF A]

20. Chenghao Liu, Tao Lu, Zhiyong Cheng, Xin Wang, Jianling Sun, Steven Hoi. Discrete Listwise Collaborative Filtering for Fast Recommendation. SIAM International Conference on Data Mining (SDM'21), Virginia, USA, 2021. (Full Paper, acceptance rate: 21.25%) [CCF B]

21. Haoyu Tang^, Jihua Zhu, Zan Gao, Tao Zhuo, Zhiyong Cheng*. Attended Feature Matching for Weakly-supervised Video Re-localization. ACM Multimedia Asia, Singapore, 2020. 

22. Zan Gao, Yinming Li, Weili Guan, Weizhi Nie, Zhiyong Cheng and Anan Liu. Pairwise View Weighted Graph Network for View-based 3D Model Retrieval. ACM SIGIR Conference on Research & Development on Information Retrieval (ACM SIGIR'20) , Xi'an, China, 2020. (Full Paper, acceptance rate: 26%) [CCF A]

23. Yuzheng Xu, Tian Gan, Yinwei Wei, Zhiyong Cheng, Liqiang Nie, Personalized Item Recommendation for Second-hand Trading Platform. ACM International Conference on Multimedia (ACM MM'20),  Seattle,  USA, 2020. (Full Paper, acceptance rate: 27.8%) [CCF A]

24. Lishuai Gao, Hua Zhang, Zan Gao, Weili Guan, Zhiyong Cheng, Meng Wang. Texture Semantically Aligned with Visibility-aware for Partial Person Re-identification.  ACM International Conference on Multimedia (ACM MM'20),  Seattle,  USA, 2020. (Full Paper, acceptance rate: 27.8%) [CCF A]

25. Yang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Jiande Sun.  Multi-Feature Discrete Collaborative Filtering for Fast Cold-start Recommendation. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), New York,  Feb 2020. (Full Paper, acceptance rate: 20.6%) [CCF A] 

26. 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 Conference on Research & Development on Information Retrieval (ACM SIGIR'19) , Pairs, France, 2019. (Full Paper, acceptance rate: 20%) [CCF A] [PDF][CODE]

27. Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun and Steven C.H. Hoi.  Compositional Coding for Collaborative Filtering. ACM SIGIR Conference on Research & Development on Information Retrieval (ACM SIGIR'19), Pairs, France, 2019.  (Full Paper, acceptance rate: 20%) [CCF A] [PDF][CODE]

28. Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie, Huaxiang Zhang. Online Multi-modal Hashing with Dynamic Query-adaption. ACM SIGIR Conference on Research & Development on Information Retrieval (ACM SIGIR'19), Pairs, France, 2019.  (Full Paper, acceptance rate: 20%) [CCF A] [Best paper honorable mention][PDF][CODE]

29. Fan Liu^, Zhiyong Cheng*, Changchang, Yinglong Wang, Liqiang Nie*, Mohan Kankanhalli. User Diverse Preference Modeling via Multimodal Attentive Metric Learning. ACM International Conference on Multimedia (ACM MM'19), Nice, France, 2019. (Oral, acceptance rate:  26.5%) [CCF A] [PDF][CODE]

30. Yinwei Wei^, Zhiyong Cheng*, Xuzheng Yu, Zhou Zhao, Lei Zhu and Liqiang Nie*. Personalized Hashtag Recommendation for Micro-videos. ACM International Conference on Multimedia (ACM MM'19), Nice, France, 2019. (Full Paper, acceptance rate:  26.5%) [CCF A] [PDF] [CODE]

31. Tao Zhuo, Zhiyong Cheng*, Peng Zhang, Yongkang Wong, Mohan Kankanhalli. Explainable Video Action Reasoning via Prior Knowledge and State Transitions. ACM International Conference on Multimedia (ACM MM'19), Nice, France, 2019. (Oral, acceptance rate:  26.5%)  [CCF A] [CODE & Dataset] 

32. Zan Gao, Lishuai Gao, Hua Zhang, Zhiyong Cheng, Richang Hong. Deep Spatial Pyramid Features Collaborative Reconstruction for Partial Person Re-identification. ACM International Conference on Multimedia (ACM MM'19), Nice, France, 2019. (Full Paper, acceptance rate:  26.5%)  [CCF A] 

33. Xu Lu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Xiushan Nie, Huaxiang Zhang. Flexible Online Multi-modal Hashing for Large-scale Multimedia Retrieval. ACM International Conference on Multimedia (ACM MM'19), Nice, France, 2019. (Full Paper, acceptance rate:  26.5%)  [CCF A] [Best paper honorable mention]

34. Mengmeng Li, Tian Gan, Meng Liu, Zhiyong Cheng, Jianhua Yin and Liqiang Nie. Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional Network. The 28th ACM International Conference on Information and Knowledge Management (ACM CIKM'19), Beijing, China, 2019. (Full paper, acceptance rate: 19.4% ) [CCF B]

35. Yangyang Guo^, Zhiyong Cheng*, Liqiang Nie*, Xin-Shun Xu, Mohan Kankanhalli. Multi-modal preference modeling for personalized product search. ACM International Conference on Multimedia (ACM MM'18), Seoul, Korea, 2018 . (Full Paper, acceptance rate: 27.5%)  [CCF A]  [PDF][CODE]

36. Zhiyong Cheng, Ying Ding, Xiangnan He, Lei Zhu, Xuemeng Song, Mohan Kankanhalli.  A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction. International Joint Conference on Artificial Intelligence (IJCAI’18), Stockholm, Sweden, 2018. (Full Paper, acceptance rate: 20.5%)  [CCF A] [PDF][CODE]

37. Xiao Dong, Lei Zhu, Xuemeng Song, Jingjing Li, Zhiyong Cheng.  Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection.  International Joint Conference on Artificial Intelligence (IJCAI’18), Stockholm, Sweden, 2018. (Full Paper, acceptance rate: 20.5%) [CCF A]

38. Abhinav Ramesh Kashyap, Christian von der Weth, Zhiyong Cheng, Mohan Kankanhalli. EPICURE - Aspect-based Multimodal Review Summarization. The Web Science Conference (WebSci'18), Amsterdam, 2018  

39. Zhiyong Cheng, Ying Ding, Lei Zhu, Mohan Kankanhalli. Aspect-Aware Latent Factor Model:  Rating Prediction with Ratings and Reviews. The Web Conference (WWW’18), Lyon, 2018. (Full Paper, acceptance rate: 14.8%) [PDF] [CCF A] [PDF][CODE]

40. Zhiyong Cheng, Jialie Shen, Lei Zhu, Liqiang Nie, Mohan Kankanhalli. Exploring Music Play Sequence for Music Recommendation. International Joint Conference on Artificial Intelligence (IJCAI’17), Melbourne, Australia, 2017. (Full Paper, acceptance rate: 26%) [CCF A]

41. Zhiyong Cheng, Jialie Shen, Liqiang Nie, Tat-Seng Chua, Mohan Kankanhalli.  Exploring User-Specific Information in Music Retrieval. 40th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (ACM SIGIR'17), Tokyo, Japan, 2017. (Full Paper, acceptance rate: 22%) [CCF A]

42. Liang Xie, Lei Zhu, Zhiyong Cheng. Multi-Task Multi-modal Semantic Hashing for Web Image Retrieval with Limited Supervision. The 23th International Conference on Multimedia Modeling (MMM'17), Huangshan, China, 2017 [CCF C]

43. Zhiyong Cheng, Jialie Shen, Steven Hoi.  On Effective Personalized Music Retrieval by Exploring Online User Behaviors. The 39th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (ACM SIGIR'16), Pisa, Italy, 2016. (Full Paper, acceptance rate: 18%) [PDF] [CCF A]

44. Zhiyong Cheng, Xuanchong Li, Jialie Shen, Alexander Hauptmann. Which Information Sources are More Effective and Reliable in Video Search. The 39th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (ACM SIGIR'16), Pisa, Italy, 2016. (Short Paper, acceptance rate: 30.7%). [PDF] [CCF A]

45. Zhiyong Cheng, Jialie Shen. VenueMusic: A Venue-Aware Music Recommender System. The 38th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (ACM SIGIR'15), Santiago, Chile, 2015. (System Demo Paper). [PDF][poster][Interface_1][Interface_2] [CCF A]

46. Zhiyong Cheng, Jialie Shen, Tao Mei. Just-for-Me: An Adaptive Personalization System for Location-Aware Social Music Recommendation.  The 37th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (ACM SIGIR'14), Gold Coast, Australia, 2014. (System Demo Paper) [PDF][poster][Interface] [CCF A]

47. Zhiyong Cheng, Jialie Shen. Just-for-Me: An Adaptive Personalization System for Location-Aware Social Music Recommendation. Proceedings of the ACM International Conference on Multimedia Information Retrieval (ACM ICMR'14), Glasgow, UK, April, 2014. (Full Paper, acceptance rate: 19%). [PDF] [CCF B]

48. Junge Shen, Zhiyong Cheng, Jialie Shen, Tao Mei, and Xinbo Gao. The Evolution of Research on Multimedia Travel Guide Search and Recommender Systems.  The 20th International Conference on Multimedia Modeling (MMM'14), Dublin, Ireland, 2014. [PDF] [CCF C]

49. Jing Ren, Zhiyong Cheng, Jialie Shen, Feida Zhu.  Influence of Influential Users: An Empirical Study of Music Social Networks. The 6th International Conference on Internet Multimedia Computing and Service (ACM ICIMCS'14), Xiamen, China, 2014. [PDF]

50. Zhiyong Cheng, Jing Ren, Jialie Shen, Haiyan Miao. Building a Large Scale Test Collection for Effective Benchmarking of Mobile Landmark Search.  The 19th International Conference on Multimedia Modeling (MMM'13), Huangshan, China, 2013. [PDF] [CCF C]

51. Zhiyong Cheng, Jing Ren, Jialie Shen, Haiyan Miao. The Effects of Heterogeneous Information Combination on Large Scale Social Image Search. The 3rd International Conference on Internet Multimedia Computing and Service (ACM ICIMCS'11), Chengdu, China, 2011. [PDF]

52. Jialie Shen, Zhiyong Cheng. Visual Query Complexity. The 2011 Pacific-Rim Conference on Multimedia (PCM'11), Sydney, Australia, 2011. [PDF] [CCF C]

53. Zhiyong Cheng, Jialie Shen . Large Scale Rich Media Information Search: Challenges and Opportunities. The 2010 Pacific-Rim Conference on Multimedia (PCM'10), Shanghai, China, 2010. [PDF] [CCF C]

Other reports

1. Zhiyong Cheng, Daniel Soudry, Zexi Mao, Zhen-zhong Lan. Training Binary Multilayer Neural Networks for Image Classification using Expectation Backpropagation. arXiv:1503.03562v3. [PDF]

2. Zhiyong Cheng, Xuanchong Li, Jialie Shen, Alexander G. Hauptmann. CMU-SMU@TRECVID 2015: Video Hyperlinking. TRECVID 2015 Workshop notebookpaper. [PDF]