Finding Relations Among Linear Constraints. - Jun Yan 009; Jian Zhang 001; Zhongxing Xu (AISC, 2006)

A Test Data Generation Tool for Unit Testing of C Programs. - Zhongxing Xu; Jian Zhang 001 (QSIC, 2006)

Path and Context Sensitive Inter-procedural Memory Leak Detection. - Zhongxing Xu; Jian Zhang 001 (QSIC, 2008)

A Memory Model for Static Analysis of C Programs. - Zhongxing Xu; Ted Kremenek; Jian Zhang (ISoLA (1), 2010)

Memory Leak Detection Based on Memory State Transition Graph. - Zhenbo Xu; Jian Zhang; Zhongxing Xu (APSEC, 2011)

Static Detection of Bugs Caused by Incorrect Exception Handling in Java Programs. - Xiaoquan Wu; Zhongxing Xu; Jun Wei (QSIC, 2011)

Canalyze: a static bug-finding tool for C programs. - Zhenbo Xu; Jian Zhang; Zhongxing Xu; Jiteng Wang (ISSTA, 2014)

Melton: a practical and precise memory leak detection tool for C programs. - Zhenbo Xu; Jian Zhang; Zhongxing Xu (Frontiers Comput. Sci., 2015)

DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation. - Feilong Tang; Zhongxing Xu; Qiming Huang; Jinfeng Wang 008; Xianxu Hou; Jionglong Su; Jingxin Liu (PRCV (5), 2023)

Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation. - Feilong Tang; Zhongxing Xu; Zhaojun Qu; Wei Feng 015; Xingjian Jiang; Zongyuan Ge (CVPR, 2024)

OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding. - Ming Hu; Peng Xia 005; Lin Wang 027; Siyuan Yan; Feilong Tang; Zhongxing Xu; Yimin Luo; Kaimin Song; Jürgen Leitner; Xuelian Cheng; Jun Cheng; Chi Liu 002; et al. (ECCV (4), 2024)

Polyp-Mamba: Polyp Segmentation with Visual Mamba. - Zhongxing Xu; Feilong Tang; Zhe Chen; Zheng Zhou; Weishan Wu; Yuyao Yang; Yu Liang; Jiyu Jiang; Xuyue Cai; Jionglong Su (MICCAI (8), 2024)

OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining. - Ming Hu; Kun Yuan 004; Yaling Shen; Feilong Tang; Xiaohao Xu; Lin Zhou; Wei Li 044; Ying Chen; Zhongxing Xu; Zelin Peng; Siyuan Yan; Vinkle Srivastav; et al. (CoRR, 2024)

Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis. - Chengzhi Liu; Zile Huang; Zhe Chen; Feilong Tang; Yu Tian; Zhongxing Xu; Zihong Luo; Yalin Zheng; Yanda Meng (AAAI, 2025)

Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation. - Feilong Tang; Zhongxing Xu; Ming Hu; Wenxue Li; Peng Xia 005; Yiheng Zhong; Hanjun Wu; Jionglong Su; Zongyuan Ge (AAAI, 2025)

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP. - Zhongxing Xu; Feilong Tang; Zhe Chen; Yingxue Su; Zhiyi Zhao; Ge Zhang; Jionglong Su; Zongyuan Ge (AAAI, 2025)

MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation. - Haochen Xue; Feilong Tang; Ming Hu; Yexin Liu; Qidong Huang; Yulong Li; Chengzhi Liu; Zhongxing Xu; Chong Zhang 006; Chun-Mei Feng; Yutong Xie 001; Imran Razzak; et al. (ACL (1), 2025)

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. - Feilong Tang; Chengzhi Liu; Zhongxing Xu; Ming Hu; Zile Huang; Haochen Xue; Ziyang Chen 003; Zelin Peng; Zhiwei Yang; Sijin Zhou; Wenxue Li; Yulong Li; et al. (CVPR, 2025)

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. - Feilong Tang; Chengzhi Liu; Zhongxing Xu; Ming Hu; Zelin Peng; Zhiwei Yang; Jionglong Su; Minquan Lin; Yifan Peng 002; Xuelian Cheng; Imran Razzak; Zongyuan Ge (CoRR, 2025)

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models. - Chengzhi Liu; Zhongxing Xu; Qingyue Wei; Juncheng Wu; James Zou 001; Xin Eric Wang; Yuyin Zhou; Sheng Liu (CoRR, 2025)

Confidence-Aware Self-Distillation for Multimodal Sentiment Analysis with Incomplete Modalities. - Yanxi Luo; Shijin Wang; Zhongxing Xu; Yulong Li; Feilong Tang; Jionglong Su (CoRR, 2025)