News
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.
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.
|
Haokai Ma
Ph.D. candidate
Multimedia Mining, Reference and Creation (MMRC) Lab
Location: 1500 ShunHua Road, High Tech Industrial Development Zone, Jinan, China 250101
Email: sdlcmahaokai [at] 163.com
|
I am a Ph.D. candidate of MMRC Lab in School of Software, Shandong University. I received B.Eng. from Shandong University in July 2019. My research interests span cross-domain recommendation, cold-start recommendation and multi-media analytics. I have almost 10 publications appeared in several top conferences such as AAAI, IJCAI, Recsys, ICMR, IJCNN, and journals including TOIS, JBI, Journal of Software and CVMJ. Moreover, I have been invited as the TPC/PC member for AAAI, IJCAI, ACMMM and IJCNN and the Session Chair for IJCNN.
We will release 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 2024: |
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 |
|
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) |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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) |
|
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) |
|
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) |
|
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) |
|
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) |
|
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) |
|
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) |
|
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) |
|
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
|
Invited Reviewer for Conferences and Journals: 2024: IJCAI, IJCNN 2023: IJCNN, TKDD 2022: AAAI |
|
Conference/Workshop Organization: Session Chair of IJCNN 2023 in Recommendations. Session Chair of IJCNN 2023 in Sentiment and Emotion. |
|
PC/SPC Member of Conferences: Technical Program Committee Member of IJCNN 2023 |
Experiences
| Research Intern, Tencent (Tencent Rhino-Bird Research Elite Program), May 2022 - November 2023 Advisior: Ruobing Xie (Pattern Recognition Center) |
Education
| Shandong University (SDU) Ph.D. in Software Engineering July 2019 - Present Advisor: Prof. Lei Meng |
| Shandong University (SDU) Bachelor in Software Engineering Sep 2015 - June 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.