伍星 - 重庆大学 - 计算机学院

个人简介

伍星，博士，副教授，硕士生导师，1978年6月出生，于2001年在东北大学秦皇岛分校获得学士学位，于2004年和2012年在重庆大学计算机学院分别获得硕士学位和博士学位。研究领域包括计算机视觉领域中的目标检测、视觉大模型、医学图像处理。近三年来专注于医学图像的视觉大模型研究，聚焦于视觉大模型在医学领域的领域适配和轻量化。指导的硕士多数就业于阿里、腾讯、字节、华为、快手、美团等互联网大厂，少数就业于研究所、国有银行、知名国企。

近期论文

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1.Minghui Zhai,Xing Wu*,Liangshan Zhu,Chengliang Wang,Yonggang Luo,Peng Wang,Retinal OCT Anomaly Detection Based on Suspicious Strategy and Relational Learning,ICME2025(CCF-B). 2.Yu Zhou,Xing Wu*,Liangshan Zhu,Chengliang Wang,Zailin Yang,Yao Liu, Nucleus-SAM: Point-Supervised SAM for Nucleus Segmentation, ICME2025(CCF-B). 3.Yang Li,Chengliang Wang*,Xing Wu,Yonggang Luo,Peng Wang,Haidong Wang,SAM-GA: SAM-Guided Grouped Aggregation Network for Weakly Supervised cardiac MRI Segmentation,ICME2025(CCF-B). 4.Liangshan Zhu,Xing Wu*,Chengliang Wang,Haidong Wang,SAM Adaptation with Refocused Attention and Diverse Prompts for Medical Image Segmentation,ICASSP2025(CCF-B). 5.Lan Li, Xing Wu* , Dejian Fang, Zhongshi He, SAM-Teacher: SAM can be a Good Teacher for Enhancing Medical Image Segmentation,SMC2025(CCF-C,Accepted). 6.Zhengqiang Jia, Xing Wu*, Bo Zhou, Chengliang Wang, and Zhongshi He,SA-SAM: Stronger Adaptation for SAM in Camouflaged Object Detection,ICIC2025(CCF-C). 7.Jun Xiong, Chengliang Wang*,Xing Wu, Haidong Wang, Peng Wang,PMNet: 3D Model based on Position Self-Supervision and Multiway Attention for Pulmonary Nodule Classification,ICIC2025(CCF-C). 8.Biyun Zhou, Chengliang Wang*,Xing Wu,Chao Liao,Peng Wang,Hongqian Wang,SMBA-MIL: SAM-Enhanced Multi-Branch Attention Multi-Instance Learning for Whole Slide Image Classificatio,ICIC2025(CCF-C). 9.Zhuolin Li,Xing Wu*,Dejian Fang,Chengliang Wang,Lingqiu Zeng,Peng Wang,Assisted-MobileSAM: Unleashing the Potential of MobileSAM through Teacher Assistant Distillation,IJCNN(CCF-C). 10.Shirong Zhou,Xing Wu*,Chengliang Wang,Lingqiu Zeng,Zhongshi He,Yao Liu,SAM-AEKD: SAM-Based Knowledge Distillation with Adaptive Fusion and Edge Features for Enhancing Medical Image Segmentation,IJCNN(CCF-C). 11.Yixing Ma,Chengliang Wang*,Xing Wu,Lingqiu Zeng,Peng Wang,Hongqian Wang,mimicSAM: Guided Knowledge Transfer for SAM via Key Regions and Boundary Information.IJCNN2025(CCF-C). 12.Yuteng Wang,Xing Wu*,Zhongshi He,Peng Wang,Haidong Wang,Hongqian Wang,US-SAM:An atuomatic prompt SAM for ultrasound image,ICME2024 (CCF-B). 13.Jian Chen,Xing Wu*,Zailin Yang, XueLian Wu, Longrong Ran, Yao Liu, Texture-Unet: A Texture-Aware Network for Bone Marrow Smear Whole-Slide Image Region of Interest Segmentation,ICASSP2024(CCF-B). 14.Yuquan Yuan,Shaodong Hou*,Xing Wu*,Yuteng Wang,Applicationof deep learning to the automatic segmentation and classification of lateral lymph nodes on ultrasound images of papillary thyroidcarcinoma,Asian Journal of Surgery,Vol.47,No.9.PP.3892-3898.(SCI,JCR-1). 15.Yuquan Yuan,Bin Pan,Hongbiao Mo,Xing Wu,Deep learning-based computer-aided diagnosis system for the automatic detection and classification of lateral cervical lymph nodes on original ultrasound images of papillary thyroid carcinoma:a prospective diagnostic study,ENDOCRINE,Vol.85,No.3.PP.1289-1299(SCI,JCR-2). 16.Biyun Zhou, Chengliang Wang*,Xing Wu,Peng Wang,Haidong Wang,Hongqian Wang, AIM-MIL Adversarial Instance Mining for Robust Multi-Instance Learning in Whole Slide Image Classification,ICONIP2024(CCF-C). 17.Weimin Li, Xing Wu*, Chengliang Wang,Zhongshi He,Peng Wang,Hongqian Wang,Visual Navigation by Fusing Object Semantic Feature,SMC2024(CCF-C). 18.Xiaolin Wei,Ruilong Yang*,Xing Wu,Chengliang Wang,Haidong Wang, Hongqian Wang, Tao Tang,Improve Deep Learning Autofocus with Depth Information Supervision and Current Focal Distance Cues,SMC2024(CCF-C). 19.Jun Xiong,Chengliang Wang*,Xing Wu,Peng Wang,Haidong Wang,Hongqian Wang,SMDNet: A Pulmonary Nodule Classification Model Based on Positional Self-Supervision and Multi-Direction Attention，SMC2024(CCF-C). 20.Xiaolin Wei,Ruilong Yang*,Xing Wu,Chengliang Wang,Haidong Wang, Hongqian Wang,Tao Tang,Enhancing Autofocus Performance through Predictive Motion-Targeting and Self-Attention in a Deep Reinforcement Learning Framework,SMC2024(CCF-C). 21.Zhaoxin Long,Xing Wu*,NFE-Net:Detection and Segmentation of Thyroid Nodules in Ultrasound Images Based on Nodule Feature Enhanced, IJCNN2024(CCF-C). 22.Minghui Zhai,Xing Wu*, Dual-Branch Retinal OCT Anomaly Detection Based On Knowledge DistillationAnd Reconstruction, IJCNN2024 (CCF-C). 23.Yuping Peng , Xing Wu*, Predict EGFR Mutation Status on CT Images Using Texture and Contour Enhanced Masked Autoencoders, IJCNN2024(CCF-C). 24.Yulin Tan,Xing Wu*, CIS-Net:An End-to-end Chromosome Instance Segmentation Method BasedonDisturbance Features Deactivation and Strengthened Disparity,IJCNN2024(CCF-C). 25.Yehong Tong,Xing Wu*, Anomaly Detection in Chest X-ray Images with Adversarial MaskedAutoencoder,IJCNN2024(CCF-C). 26.Jian Chen,Chengliang Wang*,Xing Wu,Longrong Ran,Zailin Yang,Yao Liu,Weakly Supervised Segmentation of Plasma Cells in Bone Marrow via Scribble Annotations.IJCNN2024(CCF-C). 27.Weimin Li, Xing Wu*, Visual Navigation of Target-Driven Memory Augmented Reinforcement Learning,ICONIP2023(CCF-C). 28.Wenjie Huang, Xing Wu*,Adaptive Focal Inverse Distance Transform Maps for Cell Recognition, ICONIP2023(CCF-C). 29.Chengliang Wang, Jian Chen, Xing Wu, Zailin Yang, Longrong Ran,Yao Liu,TCNet: Texture and Contour-Aware Model for Bone Marrow Smear Region of Interest Selection.ICONIP2023(CCF-C). 30.Fei Ma,Chengliang Wang,Yujie Hao,Xing Wu,Feature reduction based transfer structural subspace learning for small-footprint cross-domain keyword spotting via linear discriminant analysis.‌Digital Signal Processing,Vol.127.(SCI,JCR-2). 31.Chao Liao,Chengliang Wang,Jianying Bai,Libin Lan,Xing Wu,Deep learning for registration of region of interest in consecutive wireless capsule endoscopy frames.Computer Methods and Programs in Biomedicine,Vol.208(SCI,JCR-1). 32.Weijia Li,Xing Wu*, High-Resolution Recurrent Gated Fusion Network for 3D Pancreas Segmentation,IJCNN2021(CCF-C). 33.Chenjiao Zhang, Lulu Wang, Xing Wu and Zhongshi He,3D Multi-Branch Encoder-Decoder Networks with Attentional Feature Fusion for Pulmonary Nodule Detection in CT Scans.IJCNN2021(CCF-C). 34.Honggang Wang,Xing Wu*, Research on Flame Detection Based on Anchor-Free AlgorithmFCOS, ICONIP2021(CCF-C). 35.Chengliang Wang,Shitong Xiao, Chao Liao, Xing Wu,Shiying Li.Detection of Retinal Vascular Bifurcation and Crossover Points in Optical Coherence Tomography Angiography Images Based on CenterNet. ICONIP2021(CCF-C). 36.Chengliang Wang,Yujie Hao,Xing Wu,Chao Liao,Triplet Confidence for Robust Out-of-vocabulary Keyword Spotting.ISCAS2021(CCF-C). 37.于畅,伍星*,基于深度学习的多视角螺钉缺失智能检测算法,山东大学学报工学版(CSCD),2023-7. 38.李姜楠,伍星*,基于知识蒸馏的 YOLOv3 算法研究,计算机工程与应用(CSCD),2022-4. 39.刘竞升,伍星*,改进FCOS的二阶段SAR舰船检测算法,计算机工程与应用(CSCD),2021-12. 40.张圣,伍星*,邹东升,垃圾商品评论检测研究综述,计算机工程与科学(CSCD),2018年,卷40(11). 41.陈世梅,伍星*,唐凡,基于BiLSTM-CRF模型的汉语否定信息识别,中文信息学报(CSCD),2018年,卷32(11). 42.唐凡,伍星*,否定信息识别研究综述,计算机工程与应用(CSCD),2017年,卷53(12).