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ORCIDFeilong Tang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Feilong Tang 0001
![[0009-0006-5963-1810]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0006-5963-1810")
— East China Normal University, School of Data Science and Engineering, Shanghai, China (and 1 more)
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2020 – today
- 2025
[j2]Feilong Tang, Rosalyn R. Porle, Hoe Tung Yew, Farrah Wong:
Identification of Maize Diseases Based on Dynamic Convolution and Tri-Attention Mechanism. IEEE Access 13: 6834-6844 (2025)- [j1]Wei Feng, Sijin Zhou, Yiwen Jiang, Feilong Tang, Zongyuan Ge:
Neighbor-Guided Unbiased Framework for Generalized Category Discovery in Medical Image Classification. IEEE J. Biomed. Health Informatics 29(8): 5736-5747 (2025) - [c21]Wenxue Li, Lie Ju, Feilong Tang, Peng Xia, Xinyu Xiong, Ming Hu, Lei Zhu, Zongyuan Ge:
Towards Realistic Semi-supervised Medical Image Classification. AAAI 2025: 4968-4976 - [c20]Chengzhi Liu, Zile Huang, Zhe Chen, Feilong Tang, Yu Tian, Zhongxing Xu, Zihong Luo, Yalin Zheng, Yanda Meng:
Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis. AAAI 2025: 5361-5369 - [c19]Feilong Tang, Zhongxing Xu, Ming Hu, Wenxue Li, Peng Xia, Yiheng Zhong, Hanjun Wu, Jionglong Su, Zongyuan Ge:
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation. AAAI 2025: 7220-7228 - [c18]Zhongxing Xu, Feilong Tang, Zhe Chen, Yingxue Su, Zhiyi Zhao, Ge Zhang, Jionglong Su, Zongyuan Ge:
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP. AAAI 2025: 9023-9031 - [c17]Haochen Xue, Feilong Tang, Ming Hu, Yexin Liu, Qidong Huang, Yulong Li, Chengzhi Liu, Zhongxing Xu, Chong Zhang, Chun-Mei Feng, Yutong Xie, Imran Razzak, Zongyuan Ge, Jionglong Su, Junjun He, Yu Qiao:
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation. ACL (1) 2025: 22477-22503 - [c16]Yuxuan Zhang, Yulong Li, Feilong Tang, Zichen Yu, Ming Hu, Zhixiang Lu, Haochen Xue, Zhaodong Wu, Kang Dang, Imran Razzak, Jionglong Su:
Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversations. AVSS 2025: 1-6 - [c15]Zelin Peng, Zhengqin Xu, Zhilin Zeng, Changsong Wen, Yu Huang, Menglin Yang, Feilong Tang, Wei Shen:
Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space. CVPR 2025: 4562-4572 - [c14]Yexin Liu, Zhengyang Liang, Yueze Wang, Xianfeng Wu, Feilong Tang, Muyang He, Jian Li, Zheng Liu, Harry Yang, Sernam Lim, Bo Zhao:
Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly. CVPR 2025: 9087-9097 - [c13]Zhiwei Yang, Yucong Meng, Kexue Fu, Feilong Tang, Shuo Wang, Zhijian Song:
Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation. CVPR 2025: 20223-20232 - [c12]Zelin Peng, Yu Huang, Zhengqin Xu, Feilong Tang, Ming Hu, Xiaokang Yang, Wei Shen:
Star with Bilinear Mapping. CVPR 2025: 25292-25302 - [c11]Feilong Tang, Chengzhi Liu, Zhongxing Xu, Ming Hu, Zile Huang, Haochen Xue, Ziyang Chen, Zelin Peng, Zhiwei Yang, Sijin Zhou, Wenxue Li, Yulong Li, Wenxuan Song, Shiyan Su, Wei Feng, Jionglong Su, Mingquan Lin, Yifan Peng, Xuelian Cheng, Imran Razzak, Zongyuan Ge:
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. CVPR 2025: 26147-26159 - [c10]Feilong Tang, Zile Huang, Chengzhi Liu, Qiang Sun, Harry Yang, Ser-Nam Lim:
Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs. ICLR 2025 - [c9]Zhaodong Wu, Qiaochu Zhao, Ming Hu, Yulong Li, Haochen Xue, Zhengyong Jiang, Angelos Stefanidis, Qiufeng Wang, Imran Razzak, Zongyuan Ge, Junjun He, Yu Qiao, Zhong Zheng, Feilong Tang, Kang Dang, Jionglong Su:
MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset. MICCAI (2) 2025: 378-388 - [c8]Xinkun Wang, Yifang Wang, Senwei Liang, Feilong Tang, Chengzhi Liu, Ming Hu, Chao Hu, Junjun He, Zongyuan Ge, Imran Razzak:
Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation. MICCAI (8) 2025: 447-456 - [i40]Yulong Li, Yuxuan Zhang, Feilong Tang, Mian Zhou, Zhixiang Lu, Haochen Xue, Yifang Wang, Kang Dang, Jionglong Su:
Beyond Words: AuralLLM and SignMST-C for Precise Sign Language Production and Bidirectional Accessibility. CoRR abs/2501.00765 (2025) - [i39]Yuxuan Zhang, Yulong Li, Zichen Yu, Feilong Tang, Zhixiang Lu, Chong Li, Kang Dang, Jionglong Su:
Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversations. CoRR abs/2501.00778 (2025) - [i38]Chengzhi Liu, Zile Huang, Zhe Chen, Feilong Tang, Yu Tian, Zhongxing Xu, Zihong Luo, Yalin Zheng, Yanda Meng:
Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis. CoRR abs/2502.11724 (2025) - [i37]Haochen Xue, Feilong Tang, Ming Hu, Yexin Liu, Qidong Huang, Yulong Li, Chengzhi Liu, Zhongxing Xu, Chong Zhang, Chun-Mei Feng, Yutong Xie, Imran Razzak, Zongyuan Ge, Jionglong Su, Junjun He, Yu Qiao:
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation. CoRR abs/2502.11903 (2025) - [i36]Xinkun Wang, Yifang Wang, Senwei Liang, Feilong Tang, Chengzhi Liu, Ming Hu, Chao Hu, Junjun He, Zongyuan Ge, Imran Razzak:
Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation. CoRR abs/2503.05319 (2025) - [i35]Zhaodong Wu, Qiaochu Zhao, Ming Hu, Yulong Li, Haochen Xue, Kang Dang, Zhengyong Jiang, Angelos Stefanidis, Qiufeng Wang, Imran Razzak, Zongyuan Ge, Junjun He, Yu Qiao, Zhong Zheng, Feilong Tang, Jionglong Su:
MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset. CoRR abs/2503.13560 (2025) - [i34]Shijing Chen, Shoaib Jameel, Mohamed Reda Bouadjenek, Feilong Tang, Usman Naseem, Basem Suleiman, Hakim Hacid, Flora D. Salim, Imran Razzak:
Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer. CoRR abs/2503.15566 (2025) - [i33]Haolin Yang, Feilong Tang, Ming Hu, Yulong Li, Yexin Liu, Zelin Peng, Junjun He, Zongyuan Ge, Imran Razzak:
ScalingNoise: Scaling Inference-Time Search for Generating Infinite Videos. CoRR abs/2503.16400 (2025) - [i32]Yiheng Zhong, Zihong Luo, Chengzhi Liu, Feilong Tang, Zelin Peng, Ming Hu, Yingzhen Hu, Jionglong Su, Zongyuan Ge, Imran Razzak:
PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation. CoRR abs/2503.18227 (2025) - [i31]Zhiwei Yang, Yucong Meng, Kexue Fu, Feilong Tang, Shuo Wang, Zhijian Song:
Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation. CoRR abs/2503.20826 (2025) - [i30]Yulong Li, Zhixiang Lu, Feilong Tang, Simin Lai, Ming Hu, Yuxuan Zhang, Haochen Xue, Zhaodong Wu, Imran Razzak, Qingxia Li, Jionglong Su:
Rhythm of Opinion: A Hawkes-Graph Framework for Dynamic Propagation Analysis. CoRR abs/2504.15072 (2025) - [i29]Feilong Tang, Chengzhi Liu, Zhongxing Xu, Ming Hu, Zelin Peng, Zhiwei Yang, Jionglong Su, Minquan Lin, Yifan Peng, Xuelian Cheng, Imran Razzak, Zongyuan Ge:
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. CoRR abs/2505.16652 (2025) - [i28]Ming Hu, Zhengdi Yu, Feilong Tang, Kaiwen Chen, Yulong Li, Imran Razzak, Junjun He, Tolga Birdal, Kaijing Zhou, Zongyuan Ge:
Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery. CoRR abs/2505.17677 (2025) - [i27]Jianghao Wu, Feilong Tang, Yulong Li, Ming Hu, Haochen Xue, Shoaib Jameel, Yutong Xie, Imran Razzak:
TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification. CoRR abs/2505.18283 (2025) - [i26]Youssef Mohamed, Noran Mohamed, Khaled Abouhashad, Feilong Tang, Sara Atito, Shoaib Jameel, Imran Razzak, Ahmed B. Zaky:
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification. CoRR abs/2505.23595 (2025) - [i25]Yanxi Luo, Shijin Wang, Zhongxing Xu, Yulong Li, Feilong Tang, Jionglong Su:
Confidence-Aware Self-Distillation for Multimodal Sentiment Analysis with Incomplete Modalities. CoRR abs/2506.01490 (2025) - [i24]Jianghao Wu, Yicheng Wu, Yutong Xie, Wenjia Bai, You Zhang, Feilong Tang, Yulong Li, Yasmeen George, Imran Razzak:
SAM-aware Test-time Adaptation for Universal Medical Image Segmentation. CoRR abs/2506.05221 (2025) - [i23]Wenxuan Song, Jiayi Chen, Wenxue Li, Xu He, Han Zhao, Can Cui, Pengxiang Ding, Shiyan Su, Feilong Tang, Xuelian Cheng, Donglin Wang, Zongyuan Ge, Xinhu Zheng, Zhe Liu, Hesheng Wang, Haoang Li:
RationalVLA: A Rational Vision-Language-Action Model with Dual System. CoRR abs/2506.10826 (2025) - [i22]Ankan Deria, Adinath Madhavrao Dukre, Feilong Tang, Sara Atito, Sudipta Roy, Muhammad Awais, Muhammad Haris Khan, Imran Razzak:
Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning. CoRR abs/2506.15649 (2025) - [i21]Qiyan Zhao, Xiaofeng Zhang, Yiheng Li, Yun Xing, Xiaosong Yuan, Feilong Tang, Sinan Fan, Xuhang Chen, Xuyao Zhang, Dahan Wang:
MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models. CoRR abs/2507.09184 (2025) - [i20]Xinlin Zhuang, Feilong Tang, Haolin Yang, Ming Hu, Huifa Li, Haochen Xue, Yichen Li, Junjun He, Zongyuan Ge, Ying Qian, Imran Razzak:
Towards Efficient Medical Reasoning with Minimal Fine-Tuning Data. CoRR abs/2508.01450 (2025) - [i19]Haolin Yang, Feilong Tang, Linxiao Zhao, Xiang An, Ming Hu, Huifa Li, Xinlin Zhuang, Boqian Wang, Yifan Lu, Xiaofeng Zhang, Abdalla Swikir, Junjun He, Zongyuan Ge, Imran Razzak:
StreamAgent: Towards Anticipatory Agents for Streaming Video Understanding. CoRR abs/2508.01875 (2025) - [i18]Zhixiang Lu, Yulong Li, Feilong Tang, Zhengyong Jiang, Chong Li, Mian Zhou, Tenglong Li, Jionglong Su:
DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening. CoRR abs/2508.02741 (2025) - [i17]Zelin Peng, Yichen Zhao, Yu Huang, Piao Yang, Feilong Tang, Zhengqin Xu, Xiaokang Yang, Wei Shen:
NEARL-CLIP: Interacted Query Adaptation with Orthogonal Regularization for Medical Vision-Language Understanding. CoRR abs/2508.04101 (2025) - [i16]Wenxuan Song, Ziyang Zhou, Han Zhao, Jiayi Chen, Pengxiang Ding, Haodong Yan, Yuxin Huang, Feilong Tang, Donglin Wang, Haoang Li:
ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver. CoRR abs/2508.10333 (2025) - [i15]Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Huang, Jiyao Liu, Pengfei Jiang, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Yu Liu, Fudi Wang, Yuanfeng Ji, Yanzhou Su, Hongming Shan, Chun-Mei Feng, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Zhongying Deng, Benyou Wang, Yuewen Cao, Minjie Shen, Haodong Duan, Jie Xu, Yirong Chen, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Yihao Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He:
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers. CoRR abs/2508.21148 (2025) - 2024
- [c7]Xinqiao Zhao, Feilong Tang, Xiaoyang Wang, Jimin Xiao:
SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation. AAAI 2024: 7525-7533 - [c6]Feilong Tang, Zhongxing Xu, Zhaojun Qu, Wei Feng, Xingjian Jiang, Zongyuan Ge:
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation. CVPR 2024: 3324-3334 - [c5]Ming Hu, Peng Xia, Lin Wang, Siyuan Yan, Feilong Tang, Zhongxing Xu, Yimin Luo, Kaimin Song, Jürgen Leitner, Xuelian Cheng, Jun Cheng, Chi Liu, Kaijing Zhou, Zongyuan Ge:
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding. ECCV (4) 2024: 481-500 - [c4]Peng Xia, Ming Hu, Feilong Tang, Wenxue Li, Wenhao Zheng, Lie Ju, Peibo Duan, Huaxiu Yao, Zongyuan Ge:
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations. MICCAI (10) 2024: 427-437 - [c3]Zhongxing Xu, Feilong Tang, Zhe Chen, Zheng Zhou, Weishan Wu, Yuyao Yang, Yu Liang, Jiyu Jiang, Xuyue Cai, Jionglong Su:
Polyp-Mamba: Polyp Segmentation with Visual Mamba. MICCAI (8) 2024: 510-521 - [i14]Xinqiao Zhao, Feilong Tang, Xiaoyang Wang, Jimin Xiao:
SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation. CoRR abs/2401.11719 (2024) - [i13]Feilong Tang, Zhongxing Xu, Zhaojun Qu, Wei Feng, Xingjian Jiang, Zongyuan Ge:
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation. CoRR abs/2403.07630 (2024) - [i12]Ming Hu, Siyuan Yan, Peng Xia, Feilong Tang, Wenxue Li, Peibo Duan, Lin Zhang, Zongyuan Ge:
Diffusion Model Driven Test-Time Image Adaptation for Robust Skin Lesion Classification. CoRR abs/2405.11289 (2024) - [i11]Peng Xia, Ming Hu, Feilong Tang, Wenxue Li, Wenhao Zheng, Lie Ju, Peibo Duan, Huaxiu Yao, Zongyuan Ge:
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations. CoRR abs/2406.06384 (2024) - [i10]Ming Hu, Peng Xia, Lin Wang, Siyuan Yan, Feilong Tang, Zhongxing Xu, Yimin Luo, Kaimin Song, Jürgen Leitner, Xuelian Cheng, Jun Cheng, Chi Liu, Kaijing Zhou, Zongyuan Ge:
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding. CoRR abs/2406.07471 (2024) - [i9]Feilong Tang, Matt Trinh, Annita Duong, Angelica Ly, Fiona Stapleton, Zhe Chen, Zongyuan Ge, Imran Razzak:
Discriminating retinal microvascular and neuronal differences related to migraines: Deep Learning based Crossectional Study. CoRR abs/2408.07293 (2024) - [i8]Xinyu Xiong, Zihuang Wu, Shuangyi Tan, Wenxue Li, Feilong Tang, Ying Chen, Siying Li, Jie Ma, Guanbin Li:
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation. CoRR abs/2408.08870 (2024) - [i7]Ming Hu, Kun Yuan, Yaling Shen, Feilong Tang, Xiaohao Xu, Lin Zhou, Wei Li, Ying Chen, Zhongxing Xu, Zelin Peng, Siyuan Yan, Vinkle Srivastav, Diping Song, Tianbin Li, Danli Shi, Jin Ye, Nicolas Padoy, Nassir Navab, Junjun He, Zongyuan Ge:
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining. CoRR abs/2411.15421 (2024) - [i6]Mingzhe Zheng, Yongqi Xu, Haojian Huang, Xuran Ma, Yexin Liu, Wenjie Shu, Yatian Pang, Feilong Tang, Qifeng Chen, Harry Yang, Ser-Nam Lim:
VideoGen-of-Thought: A Collaborative Framework for Multi-Shot Video Generation. CoRR abs/2412.02259 (2024) - [i5]Ziyang Chen, Yiwen Ye, Feilong Tang, Yongsheng Pan, Yong Xia:
Meta Curvature-Aware Minimization for Domain Generalization. CoRR abs/2412.11542 (2024) - [i4]Zhongxing Xu, Feilong Tang, Zhe Chen, Yingxue Su, Zhiyi Zhao, Ge Zhang, Jionglong Su, Zongyuan Ge:
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP. CoRR abs/2412.19650 (2024) - [i3]Feilong Tang, Zhongxing Xu, Ming Hu, Wenxue Li, Peng Xia, Yiheng Zhong, Hanjun Wu, Jionglong Su, Zongyuan Ge:
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation. CoRR abs/2412.19871 (2024) - 2023
- [c2]Feilong Tang, Zhongxing Xu, Qiming Huang, Jinfeng Wang, Xianxu Hou, Jionglong Su, Jingxin Liu:
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation. PRCV (5) 2023: 343-356 - 2022
- [c1]Jinfeng Wang, Qiming Huang, Feilong Tang, Jia Meng, Jionglong Su, Sifan Song:
Stepwise Feature Fusion: Local Guides Global. MICCAI (3) 2022: 110-120 - [i2]Jinfeng Wang, Qiming Huang, Feilong Tang, Jia Meng, Jionglong Su, Sifan Song:
Stepwise Feature Fusion: Local Guides Global. CoRR abs/2203.03635 (2022) - [i1]Feilong Tang, Qiming Huang, Jinfeng Wang, Xianxu Hou, Jionglong Su, Jingxin Liu:
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation. CoRR abs/2212.11677 (2022)
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