Comparative Study of Adversarial Training Methods for Long-tailed Classification. - Xiangxian Li; Haokai Ma; Lei Meng 001; Xiangxu Meng (AdvM @ ACM Multimedia, 2021)

Comparative Study of Adversarial Training Methods for Cold-Start Recommendation. - Haokai Ma; Xiangxian Li; Lei Meng 001; Xiangxu Meng (AdvM @ ACM Multimedia, 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 012; Wenxiu Geng; Fan Zhang 045; Juan Liu 008; Chenglei Yang (J. Biomed. Informatics, 2021)

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 001 (CICAI (1), 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 001 (CICAI (1), 2022)

VAFA: A Visually-Aware Food Analysis System for Socially-Engaged Diet Management. - Hang Wu; Xi Chen; Xuelong Li 003; Haokai Ma; Yuze Zheng; Xiangxian Li; Xiangxu Meng; Lei Meng 001 (CICAI (3), 2022)

A Visually-Aware Food Analysis System for Diet Management. - Hang Wu; Xi Chen; Xuelong Li 003; Haokai Ma; Yuze Zheng; Xiangxian Li; Xiangxu Meng; Lei Meng 001 (ICME Workshops, 2022)

Unsupervised Contrastive Masking for Visual Haze Classification. - Jingyu Li; Haokai Ma; Xiangxian Li; Zhuang Qi; Lei Meng 001; Xiangxu Meng (ICMR, 2022)

Unsupervised Segmentation of Haze Regions as Hard Attention for Haze Classification. - Jingyu Li; Haokai Ma; Xiangxian Li; Zhuang Qi; Xiangxu Meng; Lei Meng 001 (ICIG (4), 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 001 (IJCNN, 2023)

Exploring False Hard Negative Sample in Cross-Domain Recommendation. - Haokai Ma; Ruobing Xie; Lei Meng 001; Xin Chen 091; Xu Zhang 028; Leyu Lin; Jie Zhou 016 (RecSys, 2023)

Plug-In Diffusion Model for Sequential Recommendation. - Haokai Ma; Ruobing Xie; Lei Meng 001; Xin Chen 091; Xu Zhang 028; Leyu Lin; Zhanhui Kang (AAAI, 2024)

SeeDRec: Sememe-based Diffusion for Sequential Recommendation. - Haokai Ma; Ruobing Xie; Lei Meng 001; Yimeng Yang; Xingwu Sun; Zhanhui Kang (IJCAI, 2024)

Modeling Event-level Causal Representation for Video Classification. - Yuqing Wang; Lei Meng 001; Haokai Ma; Yuqing Wang; Haibei Huang; Xiangxu Meng (ACM Multimedia, 2024)

Multimodal Conditioned Diffusion Model for Recommendation. - Haokai Ma; Yimeng Yang; Lei Meng 001; Ruobing Xie; Xiangxu Meng (WWW (Companion Volume), 2024)

Negative Sampling in Recommendation: A Survey and Future Directions. - Haokai Ma; Ruobing Xie; Lei Meng 001; Fuli Feng; Xiaoyu Du 002; Xingwu Sun; Zhanhui Kang; Xiangxu Meng (CoRR, 2024)

Headache to Overstock? Promoting Long-tail Items through Debiased Product Bundling. - Shuo Xu; Haokai Ma; Yunshan Ma; Xiaohao Liu; Lei Meng 001; Xiangxu Meng; Tat-Seng Chua (CoRR, 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., 2024)

Triple Sequence Learning for Cross-domain Recommendation. - Haokai Ma; Ruobing Xie; Lei Meng 001; Xin Chen 091; Xu Zhang 028; Leyu Lin; Jie Zhou 016 (ACM Trans. Inf. Syst., 2024)

Cross-modal learning using privileged information for long-tailed image classification. - Xiangxian Li; Yuze Zheng; Haokai Ma; Zhuang Qi; Xiangxu Meng; Lei Meng 001 (Comput. Vis. Media, 2024)

Causal Inference over Visual-Semantic-Aligned Graph for Image Classification. - Lei Meng 001; Xiangxian Li; Xiaoshuo Yan; Haokai Ma; Zhuang Qi; Wei Wu; Xiangxu Meng (AAAI, 2025)

Curriculum Conditioned Diffusion for Multimodal Recommendation. - Yimeng Yang; Haokai Ma; Lei Meng 001; Shuo Xu; Ruobing Xie; Xiangxu Meng (AAAI, 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, 2025)

Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training. - Haokai Ma; Yunshan Ma; Ruobing Xie; Lei Meng 001; Jialie Shen 001; Xingwu Sun; Zhanhui Kang; Tat-Seng Chua (CoRR, 2025)

Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMs. - Houcheng Jiang; Zetong Zhao; Junfeng Fang; Haokai Ma; Ruipeng Wang; Yang Deng 002; Xiang Wang 010; Xiangnan He 001 (CoRR, 2025)

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems. - Junfeng Fang; Zijun Yao 005; Ruipeng Wang; Haokai Ma; Xiang Wang 010; Tat-Seng Chua (CoRR, 2025)

MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models. - Yongheng Zhang 002; Xinyun Zhao; Yunshan Ma; Haokai Ma; Yingxiao Guan; Guozheng Yang; Yuliang Lu; Xiang Wang (CoRR, 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, 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, 2025)