Jun Wang - RankMe

37 papers A* 2A 1B 3Misc 4Journal 21Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing federated domain generalization in ophthalmology: Vision enhancement and consistency assurance for multicenter fundus image segmentation. Pattern Recognit. Yuxin Ye, Nian Liu, Yang Zhao, Xianxun Zhu, Jun Wang, Yan Liu
2025	Misc	`conf`	COCO-OLAC: A Benchmark for Occluded Panoptic Segmentation and Image Understanding. ICASSP Wenbo Wei, Jun Wang, Abhir Bhalerao
2025	A*	`conf`	Deep Learning for Multivariate Time Series Imputation: A Survey. IJCAI Jun Wang, Wenjie Du, Yiyuan Yang, Linglong Qian, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen
2025	J	`jnl`	How Deep is Your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation. IEEE J. Biomed. Health Informatics Linglong Qian, Hugh Logan Ellis, Tao Wang, Jun Wang, Robin Mitra, Richard J. B. Dobson, Zina M. Ibrahim
2025	J	`jnl`	Improving Medical Visual Representation Learning with Pathological-level Cross-Modal Alignment and Correlation Exploration. CoRR Jun Wang, Lixing Zhu, Xiaohan Yu, Abhir Bhalerao, Yulan He
2025	B	`conf`	LlmLink: Dual LLMs for Dynamic Entity Linking on Long Narratives with Collaborative Memorisation and Prompt Optimisation. COLING Lixing Zhu, Jun Wang, Yulan He
2025	J	`jnl`	SGRRG: Leveraging radiology scene graphs for improved and abnormality-aware radiology report generation. Comput. Medical Imaging Graph. Jun Wang, Lixing Zhu, Abhir Bhalerao, Yulan He
2024	J	`jnl`	CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation. IEEE J. Biomed. Health Informatics Jun Wang, Abhir Bhalerao, Terry Yin, Simon See, Yulan He
2024	J	`jnl`	COCO-Occ: A Benchmark for Occluded Panoptic Segmentation and Image Understanding. CoRR Wenbo Wei, Jun Wang, Abhir Bhalerao
2024	J	`jnl`	Deep Learning for Multivariate Time Series Imputation: A Survey. CoRR Jun Wang, Wenjie Du, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen
2024	J	`jnl`	How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation. CoRR Linglong Qian, Tao Wang, Jun Wang, Hugh Logan Ellis, Robin Mitra, Richard J. B. Dobson, Zina M. Ibrahim
2024	J	`jnl`	Scene Graph Aided Radiology Report Generation. CoRR Jun Wang, Lixing Zhu, Abhir Bhalerao, Yulan He
2024	J	`jnl`	TSI-Bench: Benchmarking Time Series Imputation. CoRR Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina M. Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen
2023	A*	`conf`	CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization. IJCAI Xiaohan Yu, Jun Wang, Yongsheng Gao
2023	J	`jnl`	Can Prompt Learning Benefit Radiology Report Generation? CoRR Jun Wang, Lixing Zhu, Abhir Bhalerao, Yulan He
2023	J	`jnl`	Mix-ViT: Mixing attentive vision transformer for ultra-fine-grained visual categorization. Pattern Recognit. Xiaohan Yu, Jun Wang, Yang Zhao, Yongsheng Gao
2023	Misc	`conf`	Optimizing Vision Transformers for Medical Image Segmentation. ICASSP Qianying Liu, Chaitanya Kaul, Jun Wang, Christos Anagnostopoulos, Roderick Murray-Smith, Fani Deligianni
2022	J	`jnl`	CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation. CoRR Jun Wang, Abhir Bhalerao, Terry Yin, Simon See, Yulan He
2022	—	`conf`	Cross-Modal Prototype Driven Network for Radiology Report Generation. ECCV (35) Jun Wang, Abhir Bhalerao, Yulan He
2022	J	`jnl`	Cross-modal Prototype Driven Network for Radiology Report Generation. CoRR Jun Wang, Abhir Bhalerao, Yulan He
2022	—	`conf`	Lane Change Classification and Prediction with Action Recognition Networks. ECCV Workshops (1) Kai Liang, Jun Wang, Abhir Bhalerao
2022	J	`jnl`	Lane Change Classification and Prediction with Action Recognition Networks. CoRR Kai Liang, Jun Wang, Abhir Bhalerao
2022	J	`jnl`	Optimizing Vision Transformers for Medical Image Segmentation. CoRR Qianying Liu, Chaitanya Kaul, Jun Wang, Christos Anagnostopoulos, Roderick Murray-Smith, Fani Deligianni
2022	Misc	`conf`	PGTRNET: Two-Phase Weakly Supervised Object Detection with Pseudo Ground Truth Refinement. ICASSP Jun Wang, Hefeng Zhou, Xiaohan Yu
2021	Misc	`conf`	EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation. DICTA Jun Wang, Yang Zhao, Linglong Qian, Xiaohan Yu, Yongsheng Gao
2021	J	`jnl`	EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation. CoRR Jun Wang, Xiaohan Yu, Yongsheng Gao
2021	A	`conf`	Feature Fusion Vision Transformer for Fine-Grained Visual Categorization. BMVC Jun Wang, Xiaohan Yu, Yongsheng Gao
2021	J	`jnl`	Feature Fusion Vision Transformer for Fine-Grained Visual Categorization. CoRR Jun Wang, Xiaohan Yu, Yongsheng Gao
2021	B	`conf`	Mask Guided Attention For Fine-Grained Patchy Image Classification. ICIP Jun Wang, Xiaohan Yu, Yongsheng Gao
2021	J	`jnl`	Mask guided attention for fine-grained patchy image classification. CoRR Jun Wang, Xiaohan Yu, Yongsheng Gao
2021	J	`jnl`	PGTRNet: Two-phase Weakly Supervised Object Detection with Pseudo Ground Truth Refining. CoRR Jun Wang, Hefeng Zhou, Xiaohan Yu
2020	J	`jnl`	Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Network. CoRR Jun Wang, Qianying Liu, Haotian Xie, Zhaogang Yang, Hefeng Zhou
2019	—	`conf`	Bacterial Foraging Optimization with Memory and Clone Schemes for Dynamic Environments. ICSI (1) Ben Niu, Qianying Liu, Jun Wang
2019	B	`conf`	Nurse scheduling problem based on hydrologic cycle optimization. CEC Qianying Liu, Ben Niu, Jun Wang, Hong Wang, Li Li
2018	—	`conf`	A Hybrid Model Based on K-EPF and DPIO for UAVs Target Detection. BIC-TA (2) Jinsong Chen, Lu Xiao, Jun Wang, Huan Liu, Qianying Liu
2018	—	`conf`	HCO-Based RFID Network Planning. BIC-TA (2) Jun Wang, Jinsong Chen, Qianying Liu, Jia Liu
2014	—	`conf`	Behavior characteristics of mixed traffic flow on campus. CIVTS Mianfang Liu, Shengwu Xiong, Xiaohan Yu, Pengfeng Duan, Jun Wang