News
21 December 2024
Got two papers accepted at AAAI about Diffusion-based Negative Sampling in Recommendation and Multi-modal Alignment in Classification.
21 July 2024
Got one paper accepted at ACMMM about causal representation in Video Classification.
17 April 2024
Got one paper accepted at IJCAI about diffusion model in Sequential Recommendation and Cross-domain Recommendation.
9 December 2023
Got one paper accepted at AAAI about diffusion model in Sequential Recommendation and Cross-domain Recommendation.
4 December 2023
Got one paper accepted at TOIS about triple sequence modeling in Cross-domain Recommendation.
21 September 2023
Got one paper accepted at Journal of Software about cross-modal learning in Classification.
21 June 2023
Got one paper accepted at Recsys 2023 about negative sampling in Cross-domain Recommendation.
7 April 2023
Got one paper accepted at IJCNN 2023 about cross-modal learning in Cold-start Recommendation.
7 December 2022
Got one paper accepted at CVM 2023 about cross-modal learning in Long-tailed Classification.
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Haokai Ma
Postdoctoral Research Fellow NExT++ Research Center National University of Singapore
Email: haokai.ma1997@gmail.com
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I am a Postdoctoral Research Fellow in National University of Singapore (NUS), where I am a member of NExT++ Research Center, supervised by Prof. Chua Tat-Seng. I was also under National Cybersecurity R&D Lab, where I worked with Prof. Chang Ee-Chien. Before that, I had received my Ph.D. degree in Shandong University in June 2024, supervised by Prof. Lei Meng. My research interests span Cross-domain Recommendation, LLM-empowered Recommendation and the application of LLMs in Cubersecurity and Finance. I have more than 20 publications appeared in several top conferences such as AAAI, IJCAI, MM and Recsys, and journals including TOIS, JBI, CVMJ and Journal of Software. Moreover, I have been invited as the TPC/PC member for AAAI, IJCAI, ACMMM and Recsys and the Session Chair for IJCAI and IJCNN.
I am looking for highly motivated PhD/master/undergraduate students to collaborate on various Recommendation scenarios (Cross-domain Recommendation, Sequential Recommendation, Multi-modal Recommendation and Negative Sampling in Recommendation), as well as on the applications of LLMs in vertical domains such as finance and cybersecurity. If you have interest, please feel free to send your CV to haokai.ma1997@gmail.com. All CVs will be carefully treated!
We have released a survey on the negative sampling strategies of Recsys:
- Negative Sampling in Recommendation: A Survey and Future Directions
Publications
(# indicates equal contribution and * indicates corresponding author) In the Year of 2025: |
Curriculum Conditioned Diffusion for Multimodal Recommendation
Yimeng Yang, Haokai Ma, Lei Meng*, Shuo Xu, Ruobing Xie, & Xiangxu Meng The 39th AAAI Conference on Artificial Intelligence (AAAI) 2025 |
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Causal Inference over Visual-Semantic-Aligned Graph for Image Classification
Lei Meng, Xiangxian Li, Xiaoshuo Yan*, Haokai Ma, Zhuang Qi, Wei Wu, & Xiangxu Meng The 39th AAAI Conference on Artificial Intelligence (AAAI) 2025 |
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Modeling Event-level Causal Representation for Video Classification
Yuqing Wang, Lei Meng*, Haokai Ma, Yuqing Wang, Haibei Huang & Xiangxu Meng The 32nd ACM International Conference on Multimedia (ACMMM) 2024 |
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SeeDRec: Sememe-based Diffusion for Sequential Recommendation
Haokai Ma, Ruobing Xie*, Lei Meng*, Yimeng Yang, Xingwu Sun & Zhanhui Kang The 33rd International Joint Conference on Artificial Intelligence (IJCAI) 2024 |
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Multimodal Conditioned Diffusion Model for Recommendation
Haokai Ma#, Yimeng Yang#, Lei Meng*, Ruobing Xie & Xiangxu Meng The 2nd Workshop on Recommendation with Generative Models (in conjunction with WWW '24) |
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Plug-in Diffusion Model for Sequential Recommendation
Haokai Ma, Ruobing Xie, Lei Meng*, Xin Chen, Xu Zhang, Leyu Lin & Zhanhui Kang The 38th AAAI Conference on Artificial Intelligence (AAAI) 2024 codes |
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Triple Sequence Learning for Cross-domain Recommendation
Haokai Ma#, Ruobing Xie#, Lei Meng*, Xin Chen, Xu Zhang, Leyu Lin & Jie Zhou ACM Transactions on Information Systems (TOIS) codes |
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Exploring False Hard Negative Sample in Cross-Domain Recommendation
Haokai Ma, Ruobing Xie, Lei Meng*, Xin Chen, Xu Zhang, Leyu Lin & Jie Zhou 17th ACM Conference on Recommender Systems (Recsys) 2023 codes |
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Cross-Modal Content Inference and Feature Enrichment for Cold-Start Recommendation
Haokai Ma, Zhuang Qi, Xinxin Dong, Xiangxian Li, Yuze Zheng, Xiangxu Meng & Lei Meng* International Joint Conference on Neural Networks (IJCNN) 2023 |
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A Cross-modal Privileged Information Enhanced Method for Image Classification
Xiangxian Li, Yuze Zheng, Haokai Ma, Zhuang Qi, Xiaoshuo Yan, Xiangxu Meng, Lei Meng Journal of Software |
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Cross-modal Learning Using Privileged Information for Long-tailed Image Classification
Xiangxian Li, Yuze Zheng, Haokai Ma, Zhuang Qi, Xiangxu Meng, Lei Meng Proceedings of the 2023 Computational Visual Media Conference (CVM) |
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Unsupervised Contrastive Masking for Visual Haze Classification
Jingyu Li, Haokai Ma, Xiangxian Li, Zhuang Qi, Lei Meng*, Xiangxu Meng Proceedings of the 2022 International Conference on Multimedia Retrieval (ICMR) |
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Prompt Learning with Cross-Modal Feature Alignment for Visual Domain Adaptation
Jinxing Liu, Junjin Xiao, Haokai Ma, Xiangxian Li, Zhuang Qi, Xiangxu Meng, Lei Meng* Second CAAI International Conference (CICAI) |
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Causal Inference with Sample Balancing for Out-of-Distribution Detection in Visual Classification
Yuqing Wang, Xiangxian Li, Haokai Ma, Zhuang Qi, Xiangxu Meng, Lei Meng* Second CAAI International Conference (CICAI) |
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VAFA: A Visually-Aware Food Analysis System for Socially-Engaged Diet Management
Hang Wu, Xi Chen, Xuelong Li, Haokai Ma, Yuze Zheng, Xiangxian Li, Xiangxu Meng, Lei Meng* Second CAAI International Conference (CICAI) |
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A Visually-Aware Food Analysis System for Diet Management
Hang Wu, Xi Chen, Xuelong Li, Haokai Ma, Yuze Zheng, Xiangxian Li, Xiangxu Meng, Lei Meng* 2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) |
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Exploring the effect of virtual reality relaxation environment on white coat hypertension in blood pressure measurement
Haokai Ma, Yulong Bian*, Yingbin Wang, Chao Zhou, Wenxiu Geng, Fan Zhang, Juan Liu & Chenglei Yang* Journal of Biomedical Informatics (JBI) |
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Comparative Study of Adversarial Training Methods for Cold-Start Recommendation
Haokai Ma, Xiangxian Li, Lei Meng* & Xiangxu Meng Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia (in conjunction with ACMMM 2021) |
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Comparative Study of Adversarial Training Methods for Long-tailed Classification
Xiangxian Li, Haokai Ma, Lei Meng* & Xiangxu Meng Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia (in conjunction with ACMMM 2021) |
Professional Services
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Conference/Workshop Organization: Session Chair of IJCAI 2024 in Recommendation. Session Chair of IJCNN 2023 in Recommendation. Session Chair of IJCNN 2023 in Sentiment and Emotion. |
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PC/SPC Member of Conferences: Program Committee Member for IJCAI, ACMMM, IJCNN 2024 Technical Program Committee Member of IJCNN 2023 |
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Invited Reviewer for Conferences and Journals: 2024: IJCAI, ACMMM, Recsys, IJCNN, TKDE, IPM, JASIST 2023: IJCNN, TKDD 2022: AAAI |
Experiences
| NExT++ Research Center, National University of Singapore (NUS) Postdoctoral Research Fellow Feb. 2025 - Advisor: Prof. Chua Tat-Seng |
| WeiXin Group, Tencent (Tencent Rhino-Bird Research Elite Program) Research Intern May. 2022 - Nov. 2023 Advisior: Ruobing Xie |
Education
| Shandong University (SDU) Ph.D. in Software Engineering Sep. 2019 - Jun. 2024 Advisor: Prof. Lei Meng |
| Shandong University (SDU) B.S. in Software Engineering Sep. 2015 - Jun. 2019 |
Useful Links
| NUS CS Conference Rankings |
| NUS CS Journal Ranking |
| NUS CS Courses |
| Machine Learning Reading List |
| Deep Learning Reading List |
Last update: 2 November, 2023. Webpage template borrows from Xiangnan He.