Zhongxing Xu
According to our database1,
Zhongxing Xu authored at least 28 papers
between 2006 and 2026.
Collaborative distances:
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Bibliography
2026
CoRR, April, 2026
Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models.
CoRR, April, 2026
Do No Harm: Exposing Hidden Vulnerabilities of LLMs via Persona-based Client Simulation Attack in Psychological Counseling.
CoRR, April, 2026
Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding.
CoRR, March, 2026
PsychEthicsBench: Evaluating Large Language Models Against Australian Mental Health Ethics.
CoRR, January, 2026
2025
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers.
CoRR, August, 2025
Confidence-Aware Self-Distillation for Multimodal Sentiment Analysis with Incomplete Modalities.
CoRR, June, 2025
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding.
CoRR, May, 2025
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Confidence-Aware Self-Distillation for Multimodal Sentiment Analysis with Incomplete Modalities.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding.
Proceedings of the Computer Vision - ECCV 2024, 2024
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
2015
Frontiers Comput. Sci., 2015
2014
Proceedings of the International Symposium on Software Testing and Analysis, 2014
2011
Proceedings of the 11th International Conference on Quality Software, 2011
Proceedings of the 18th Asia Pacific Software Engineering Conference, 2011
2010
Proceedings of the Leveraging Applications of Formal Methods, Verification, and Validation, 2010
2008
Proceedings of the Eighth International Conference on Quality Software, 2008
2006
Proceedings of the Sixth International Conference on Quality Software (QSIC 2006), 2006
Proceedings of the Artificial Intelligence and Symbolic Computation, 2006