Haokai Ma

According to our database, Haokai Ma authored at least 29 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Align-for-Fusion: Harmonizing Triple Preferences via Dual-oriented Diffusion for Cross-domain Sequential Recommendation.

Yongfu Zha, Xinxin Dong, Haokai Ma, Yonghui Yang, Xiaodong Wang

CoRR, August, 2025

LeAdQA: LLM-Driven Context-Aware Temporal Grounding for Video Question Answering.

Xinxin Dong, Baoyun Peng, Haokai Ma, Yufei Wang, Zixuan Dong, Fei Hu, Xiaodong Wang

CoRR, July, 2025

MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models.

Yongheng Zhang, Xinyun Zhao, Yunshan Ma, Haokai Ma, Yingxiao Guan, Guozheng Yang, Yuliang Lu, Xiang Wang

CoRR, June, 2025

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems.

Junfeng Fang, Zijun Yao, Ruipeng Wang, Haokai Ma, Xiang Wang, Tat-Seng Chua

CoRR, June, 2025

Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMs.

Houcheng Jiang, Zetong Zhao, Junfeng Fang, Haokai Ma, Ruipeng Wang, Yang Deng, Xiang Wang, Xiangnan He

CoRR, June, 2025

Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training.

Haokai Ma, Yunshan Ma, Ruobing Xie, Lei Meng, Jialie Shen, Xingwu Sun, Zhanhui Kang, Tat-Seng Chua

CoRR, April, 2025

AttackSeqBench: Benchmarking Large Language Models' Understanding of Sequential Patterns in Cyber Attacks.

Javier Yong, Haokai Ma, Yunshan Ma, Anis Yusof, Zhenkai Liang, Ee-Chien Chang

CoRR, March, 2025

Curriculum Conditioned Diffusion for Multimodal Recommendation.

Yimeng Yang, Haokai Ma, Lei Meng, Shuo Xu, Ruobing Xie, Xiangxu Meng

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Causal Inference over Visual-Semantic-Aligned Graph for Image Classification.

Lei Meng, Xiangxian Li, Xiaoshuo Yan, Haokai Ma, Zhuang Qi, Wei Wu, Xiangxu Meng

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Cross-modal learning using privileged information for long-tailed image classification.

Xiangxian Li, Yuze Zheng, Haokai Ma, Zhuang Qi, Xiangxu Meng, Lei Meng

Comput. Vis. Media, October, 2024

Triple Sequence Learning for Cross-domain Recommendation.

Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou

ACM Trans. Inf. Syst., July, 2024

Skeleton-based multi-stream adaptive-attentional sub-graph convolution network for action recognition.

Huan Liu, Jian Wu, Haokai Ma, Yuqi Yan, Rui He

Multim. Tools Appl., January, 2024

Headache to Overstock? Promoting Long-tail Items through Debiased Product Bundling.

Shuo Xu, Haokai Ma, Yunshan Ma, Xiaohao Liu, Lei Meng, Xiangxu Meng, Tat-Seng Chua

CoRR, 2024

Negative Sampling in Recommendation: A Survey and Future Directions.

Haokai Ma, Ruobing Xie, Lei Meng, Fuli Feng, Xiaoyu Du, Xingwu Sun, Zhanhui Kang, Xiangxu Meng

CoRR, 2024

Multimodal Conditioned Diffusion Model for Recommendation.

Haokai Ma, Yimeng Yang, Lei Meng, Ruobing Xie, Xiangxu Meng

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Modeling Event-level Causal Representation for Video Classification.

Yuqing Wang, Lei Meng, Haokai Ma, Yuqing Wang, Haibei Huang, Xiangxu Meng

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SeeDRec: Sememe-based Diffusion for Sequential Recommendation.

Haokai Ma, Ruobing Xie, Lei Meng, Yimeng Yang, Xingwu Sun, Zhanhui Kang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Plug-In Diffusion Model for Sequential Recommendation.

Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Exploring False Hard Negative Sample in Cross-Domain Recommendation.

Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

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

Proceedings of the International Joint Conference on Neural Networks, 2023

Unsupervised Segmentation of Haze Regions as Hard Attention for Haze Classification.

Jingyu Li, Haokai Ma, Xiangxian Li, Zhuang Qi, Xiangxu Meng, Lei Meng

Proceedings of the Image and Graphics - 12th International Conference, 2023

2022

Unsupervised Contrastive Masking for Visual Haze Classification.

Jingyu Li, Haokai Ma, Xiangxian Li, Zhuang Qi, Lei Meng, Xiangxu Meng

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

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

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

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

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

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

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

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

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

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

J. Biomed. Informatics, 2021

Comparative Study of Adversarial Training Methods for Cold-Start Recommendation.

Haokai Ma, Xiangxian Li, Lei Meng, Xiangxu Meng

Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021

Comparative Study of Adversarial Training Methods for Long-tailed Classification.

Xiangxian Li, Haokai Ma, Lei Meng, Xiangxu Meng

Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021