Haokai Ma

Orcid: 0000-0002-4621-5213

According to our database1, Haokai Ma authored at least 38 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Negative Sampling in Recommendation: A Survey and Future Directions.
ACM Trans. Inf. Syst., May, 2026

SnapGuard: Lightweight Prompt Injection Detection for Screenshot-Based Web Agents.
CoRR, April, 2026

Less Approximates More: Harmonizing Performance and Confidence Faithfulness via Hybrid Post-Training for High-Stakes Tasks.
CoRR, April, 2026

wDPO: Winsorized Direct Preference Optimization for Robust LLM Alignment.
CoRR, March, 2026

MealRec: Multi-granularity Sequential Modeling via Hierarchical Diffusion Models for Micro-Video Recommendation.
CoRR, March, 2026

TrapSuffix: Proactive Defense Against Adversarial Suffixes in Jailbreaking.
CoRR, February, 2026

PASs-MoE: Mitigating Misaligned Co-drift among Router and Experts via Pathway Activation Subspaces for Continual Learning.
CoRR, January, 2026

MM-AttacKG: A multimodal approach to attack graph construction with large language models.
Knowl. Based Syst., 2026

Align-for-Fusion: Harmonizing Triple Preferences via Dual-oriented Diffusion for Cross-domain Sequential Recommendation.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

PortfolioPilot: An Agentic Platform for Financial Portfolio Management Algorithm Development and Evaluation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Align-for-Fusion: Harmonizing Triple Preferences via Dual-oriented Diffusion for Cross-domain Sequential Recommendation.
CoRR, August, 2025

LeAdQA: LLM-Driven Context-Aware Temporal Grounding for Video Question Answering.
CoRR, July, 2025

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems.
CoRR, June, 2025

Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMs.
CoRR, June, 2025

Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training.
CoRR, April, 2025

AttackSeqBench: Benchmarking Large Language Models' Understanding of Sequential Patterns in Cyber Attacks.
CoRR, March, 2025

International Workshop on Multimodal Generative Search and Recommendation (MMGenSR@CIKM 2025).
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Curriculum Conditioned Diffusion for Multimodal Recommendation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Causal Inference over Visual-Semantic-Aligned Graph for Image Classification.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Cross-modal learning using privileged information for long-tailed image classification.
Comput. Vis. Media, October, 2024

Triple Sequence Learning for Cross-domain Recommendation.
ACM Trans. Inf. Syst., July, 2024

Skeleton-based multi-stream adaptive-attentional sub-graph convolution network for action recognition.
Multim. Tools Appl., January, 2024

Headache to Overstock? Promoting Long-tail Items through Debiased Product Bundling.
CoRR, 2024

Multimodal Conditioned Diffusion Model for Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Modeling Event-level Causal Representation for Video Classification.
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.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Plug-In Diffusion Model for Sequential Recommendation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Exploring False Hard Negative Sample in Cross-Domain Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Cross-Modal Content Inference and Feature Enrichment for Cold-Start Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Unsupervised Segmentation of Haze Regions as Hard Attention for Haze Classification.
Proceedings of the Image and Graphics - 12th International Conference, 2023

2022
Unsupervised Contrastive Masking for Visual Haze Classification.
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.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

VAFA: A Visually-Aware Food Analysis System for Socially-Engaged Diet Management.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Causal Inference with Sample Balancing for Out-of-Distribution Detection in Visual Classification.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Prompt Learning with Cross-Modal Feature Alignment for Visual Domain Adaptation.
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.
J. Biomed. Informatics, 2021

Comparative Study of Adversarial Training Methods for Cold-Start Recommendation.
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.
Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021


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