Zhongxing Xu

According to our database1, Zhongxing Xu authored at least 21 papers between 2006 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Confidence-Aware Self-Distillation for Multimodal Sentiment Analysis with Incomplete Modalities.
CoRR, June, 2025

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models.
CoRR, May, 2025

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding.
CoRR, May, 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 AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining.
CoRR, 2024

Polyp-Mamba: Polyp Segmentation with Visual Mamba.
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
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2015
Melton: a practical and precise memory leak detection tool for C programs.
Frontiers Comput. Sci., 2015

2014
Canalyze: a static bug-finding tool for C programs.
Proceedings of the International Symposium on Software Testing and Analysis, 2014

2011
Static Detection of Bugs Caused by Incorrect Exception Handling in Java Programs.
Proceedings of the 11th International Conference on Quality Software, 2011

Memory Leak Detection Based on Memory State Transition Graph.
Proceedings of the 18th Asia Pacific Software Engineering Conference, 2011

2010
A Memory Model for Static Analysis of C Programs.
Proceedings of the Leveraging Applications of Formal Methods, Verification, and Validation, 2010

2008
Path and Context Sensitive Inter-procedural Memory Leak Detection.
Proceedings of the Eighth International Conference on Quality Software, 2008

2006
A Test Data Generation Tool for Unit Testing of C Programs.
Proceedings of the Sixth International Conference on Quality Software (QSIC 2006), 2006

Finding Relations Among Linear Constraints.
Proceedings of the Artificial Intelligence and Symbolic Computation, 2006


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