Graduate

Linlin Shen, PhD, Professor, Doctoral Supervisor. Deputy Director of the National Engineering Laboratory for Big Data System Computing Technology and Director of the Institute of Computer Vision, Shenzhen University.

Email: llshen@szu.edu.cn

She holds a Bachelor's and Master's degree from Shanghai Jiao Tong University and obtained her PhD from the University of Nottingham with a UK government overseas research grant. During her doctoral studies, she received the "National Outstanding Self-Funded Overseas Student" award. From 2015 to 2023, she was consecutively named a "Highly Cited Chinese Researcher" in Computer Science by Elsevier. From 2020 to 2022, she was consistently ranked among the top 2% of scientists globally by Stanford University. She is ranked among the top 500 in China and the top 5000 globally in Computer Science by research.com. Currently, he is a "Pengcheng Scholar" Distinguished Professor in Shenzhen, an Honorary Professor of the School of Computing at the University of Nottingham, UK, a Visiting Professor in the Department of Computer Science at the University of Nottingham Ningbo China and the Department of Computer Science at Wenzhou-Kean University, and a Distinguished Visiting Scholar at the University of Macau; Deputy Director of the National Engineering Laboratory for Big Data System Computing Technology, Director of the Sino-British Cooperative Visual Information Processing Laboratory of the Guangdong Provincial Department of Education, Director of the Institute of Computer Vision at Shenzhen University, Director of the Research Center for Intelligent Analysis and Diagnosis of Medical Images at Shenzhen University, and a Computer Vision Algorithm Consultant for Huawei. He is also the Co-Editor-in-Chief of the journal *Cognitive Computation and Systems* and an Associate Editor of *Expert Systems with Applications*. His research focuses on deep learning theory and its applications in face recognition/analysis and medical image analysis. As principal investigator, he has led five consecutive major research projects funded by the National Natural Science Foundation of China, including major projects, international collaborative research projects, and general projects. He has published over 300 academic papers.

A senior member of IEEE, selected for Jiangxi Province's "Double Thousand Talents Program" (short-term), Guangdong Province's "Thousand, Hundred, Ten Talents Project" (provincial level), Shenzhen's high-level "Local Leading Talent," Shenzhen's overseas high-level "Peacock Plan" talent, and one of Shenzhen's Top Ten Young Teachers. His research achievements have won the Wu Wenjun Artificial Intelligence Natural Science Award, and awards from the Chinese Institute of Electronics, Guangdong Province, and Shenzhen Municipality. His face recognition paper won the Most Cited Paper Award from the international journal *Image and Vision Computing*. His developed face recognition algorithm won second place in the ICPR algorithm test; his developed cell fluorescence image classification algorithm consecutively won first place in the IEEE ICIP 2013 and ICPR 2016 International Cell Image Classification Algorithm Competitions; and his target detection algorithm won third place in the MICCAI 2018 Cell Nucleus Detection Competition and third place in the 2021 iFlytek Remote Sensing Image Typical Target Extraction Challenge.

Google Scholar citations: 10585, H-index: 50 https://scholar.google.com/citations?user=AZ_y9HgAAAAJ

All papers on DBLP: https://dblp.org/pid/88/5607.html

Projects and code: http://github.com/cvi-szu

Research Areas

(1) General Deep Learning Theory

A large-scale language model with billions of parameters; pre-training of language-text cross-modal models; novel network architectures; and feature extraction modules to improve the performance of CNNs and Transformers. Wavelet convolutional layers are proposed to replace downsampling pooling and upsampling modules to solve the problem of high- and low-frequency signal aliasing. Handcrafted features are combined to guide the network's early and rapid convergence. The latest text-image cross-modal generation models and their applications are studied.

(2) Weakly Supervised Object Detection/Semantic and Instance Segmentation

Object detection networks and semantic segmentation networks based on image category labels reduce the requirements of general object detection/segmentation networks for labeled data. Research is conducted on how to utilize large-scale pre-trained models to reduce the network's requirements for training data, while still achieving good performance on zero-sample open data.

(3) Face Recognition/Analysis and Synthesis

Face recognition, expression, age, and other attribute recognition methods and systems based on deep convolutional networks; face editing based on GAN, StyleGAN, and Diffusion Models; text-driven face generation; and prediction of individual personality, depression, and other psychological emotions based on face videos. The developed facial recognition system has been widely used in the Shenzhen High-Tech Fair, the National Mass Entrepreneurship and Innovation Week, the Hangzhou G20 Summit, and Xinjiang security.

(4) Intelligent Analysis of Medical Images

Brain MRI image tumor region segmentation, dental implant location prediction from dental CT images, lung nodule recognition from X-ray images using multi-scale convolutional networks, and disease detection from fundus images/retinal OCT images;

B-ultrasound image thyroid nodule segmentation and benign/malignant classification, nasal endoscopy image adenoid hypertrophy detection, and gastrointestinal endoscopy image polyp detection and analysis;

Gastrointestinal tissue pathology whole slide WSI image tumor interpretation, cervical TCT cell pathology whole slide WSI image interpretation.

We are recruiting postdoctoral fellows and doctoral/master's students year-round. Contact us at LLShen@szu.edu.cn. Requirements:

(1) Diligent, hardworking, ambitious, and willing to work hard.

(2) Strong programming skills and a solid foundation in mathematics.

(3) Team spirit.

University of Nottingham Ningbo China - Shenzhen University Joint PhD Program - Full Scholarship (Living expenses 4500 RMB/month), awarded a PhD degree from the University of Nottingham, UK!! Application link for admission in February 2025.

Shenzhen University's majors offered: Academic PhD in Computer Science and Technology, PhD in "Computer Technology" of Electronic Information

Master of Science in Computer Science and Technology, Master of Professional Science in Computer Technology and Artificial Intelligence;

Interdisciplinary Master of Science in Medical Imaging Intelligent Analysis and Diagnosis Research Center (awarding a Master of Science degree in Computer Science and Technology): Jointly trained with doctors from the School of Medicine and hospitals. See the application link for admission in 2023 for details.

Research environment provided:

(1) Excellent computer hardware environment, including 100 Tesla A100, V100, and P100 GPUs and multiple deep learning workstations with 12 Titan X GPUs;

(2) A database of 10 million facial images, millions of lung X-rays and CT scans, tens of thousands of cytopathological images, and hundreds of thousands of clothing images available for training;

(3) In-depth cooperation with listed companies such as Qualcomm, Huawei, Dahua Technology, Vipshop, and Xiondi, with project needs originating from enterprises, offering broad application prospects and high-paying job offers;

(4) Ample research funding and competitive living allowances. Postdoctoral Fellow Destinations:

10 postdoctoral fellows have completed their postdoctoral research, including 8 assistant/associate professors (Lehigh University, Shenzhen University, Xi'an Jiaotong-Liverpool University, Shenzhen Technology University) and 2 algorithm scientists (Pengxing Intelligent, Zhijiang Lab).

Dr. Weicheng Xie (2014-2017) Associate Professor, School of Computer Science, Shenzhen University (Facial Sensation Analysis)

Dr. Lifang He (2015-2018) Assistant Professor, Lehigh University (Big Data Analysis)

Dr. Xiaole Shen (2015-2018) Associate Professor, School of Big Data, Shenzhen Technology University (Remote Sensing Image, Unmanned Aerial Vehicle Systems)

Dr. Yuexiang Li (2016-2019) Professor, Biomedical Engineering, Guangxi Medical University (Medical Image Analysis)

Dr. Xuechen Li (2016-2019) Associate Professor, Computer Science, Wuyi University (Medical Image Analysis)

Dr. Yang Zhang Zhang Yang (2017-2020) Assistant Professor, School of Computer Science, Shenzhen University (Memristor-based Deep Learning)

Dr. Qiufu Li (2018-2021) Assistant Professor, National Engineering Laboratory for Big Data, Shenzhen University (Computer Vision)

Dr. Xianxu Hou (2020-2023) Assistant Professor, Xi'an Jiaotong-Liverpool University (Face Image Generation)

Dr. Renwu Gao (2018-2021) Algorithm Scientist, Pengxing Intelligent (Robot Vision)

Dr. Syed Furqan Qadri (2019-2022) Associate Researcher, Zhejiang Lab (Medical Image Analysis)

PhD Graduate Destinations:

3 supervised, 13 currently pursuing PhDs

Dr. Siyang Song (宋思阳, 2016-2020) Lecturer, University of Exeter, UK (Facial Sentiment Analysis)

Dr. Yanan Zhang (张亚楠, 2020-2024) Lecturer, Sichuan Normal University (Image Enhancement)

Dr. Yudong Li (李煜东, 2021-2024) Postdoctoral Fellow, Tsinghua University (Large-Scale Facial Analysis Model)

Master's Graduate Destinations:

Over 70 supervised, 10 pursuing PhDs (Rochester Institute of Technology (RIT), National University of Singapore, Nottingham University, Birmingham University, Nottingham University Ningbo, Monash University, Groningen University, Karolinska Institute, City University of Hong Kong, Hong Kong Polytechnic University, Sun Yat-sen University), 9 at Tencent, 9 at Huawei, 6 at ByteDance, 2 at DJI, 2 at China Merchants Bank, other employers include Baidu, Oracle, and Xiaomi AI. Lab, Meituan, Cambricon, Kingsoft AI Lab, Horizon Robotics, Orbbec, Hyperparameter, Freescale, People's Bank of China, China Securities, Shenzhen Securities, Aqara, Huapay Information, Guangdong Judicial Police Academy, Shenzhen Longgang Middle School, etc.

Papers presented at the conference

1. Yuci Liang, Xinheng Lyu, Meidang Ding, WEnting Chen, Xiaohan Xing, Jipeng Zhang, Sen Yang, Xiangjian He, Song Wu, Xiyue Wang and Linlin Shen*. WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image, ICCV 2025, Honolulu, Hawai'i, USA, Oct. 2025.

2. Ziqi Gao, Qiufu Li and Linlin Shen*. DAP-MAE: Domain-Adaptive Point Cloud Masked Autoencoder for Effecitve Cross-Domain Learning, ICCV 2025, Honolulu, Hawai'i, USA, Oct. 2025.(入选Highlight Paper)

3. Bizhu Wu, Jinheng Xie, Meidan Ding, Zhe Kong, Jianfeng Ren, Ruibin Bai, Rong Qu, Linlin Shen*. FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing, ICCV 2025, Honolulu, Hawai'i, USA, Oct. 2025.

4. Xilin He, Cheng Luo, Xiaole Xian, Bing Li, Siyang Song*, Muhammad Haris Khan, Weicheng Xie*, Linlin Shen*, Zongyuan Ge, Bernard Ghanem, Xiangyu Yue. SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data, ICCV 2025, Honolulu, Hawai'i, USA, Oct. 2025.

5. Xiaoqin Wang, Xianxu Hou, Meidan Ding, Junliang Chen, Kaijun Deng, Jinheng Xie, Linlin Shen.DisFaceRep: Representation Disentanglement for Co-occurring Facial Components in Weakly Supervised Face Parsing, ACM Multimedia 2025, Dublin, Ireland, Oct. 2025.

6. Dezhi Zheng, Kaijun Deng, Xianxu Hou, Jinbao Wang, Xiaoqin Wang, Linlin Shen. Unknown Pixel Mask based finetuning of 2D Inpainting Models for Unbounded 3D Scene Generation from a Single Image, ACM Multimedia 2025, Dublin, Ireland, Oct. 2025.

7. Weicheng Xie, Chunlin Yan, Siyang Song, Zitong YU, Linlin Shen, Laizhong Cui. Smooth Online Multiple Appropriate Facial Reaction Generation, ACM Multimedia 2025, Dublin, Ireland, Oct. 2025.

8. Meidan Ding, Jipeng Zhang, Wenxuan Wang, Haiqin Zhong, Xiaoqin Wang, Xinheng Lyu, Wenting Cheng* and Linlin Shen*. EAGLE: Expert-Guided Self-Enhancement for Preference Alignment in Pathology Large Vision-Language Model, ACL 2025, Vienna, Austria. July 2025. (Top Conference on Natural Language Processing)

9. Jie Liu, Wenxuan Wang, Yihang Su, Jingyuan Huan, Yudi Zhang, Cheng-Yi Li, Wenting Chen, Xiaohan Xing, Kao-Jung Chang, Linlin Shen, Michael R. Lyu.. Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models. ACL 2025, Vienna, Austria. July 2025. (Top Conference on Natural Language Processing)

10. Xiaoqing Wang, Xusen Ma, Xianxu Hou, Meidan Ding, Yudong Li, Junliang Chen, Wenting Chen, Xiaoyang Peng and Linlin Shen*. FaceBench: A Multi-View Multi-Level Facial Attribute VQA Dataset for Benchmarking Face Perception MLLMs. CVPR 2025, Nashville, TN, USA (Top Computer Vision Conference)

11. Bizhu Wu, Jinheng Xie, Keming Shen, Zhe Kong, Jianfang Ren, Ruibin Bai, Rong Qu and Linlin Shen*. MG-MotionLLM: A Unified Framework for Motion Comprehension and Generation across Multiple Granularities. CVPR 2025, Nashville, TN, USA (Top Computer Vision Conference)

12. Xiaofei Huang, Wenting Chen, Jiu Liu, Qisheng Lu, Xiaoling Luo and Linlin Shen*. DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching, AAAI 2025, Philadelphia, Pennsylvania, USA. (AI Summit)

13. Xiaoling Luo, Qihao Xu, Huisi Wu, Chengliang Liu, Zhihui Lai and Linlin Shen*. Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading, AAAI 2025, Philadelphia, Pennsylvania, USA. (AI Summit)

14. Gu Wang, Yuexiang Li, Wenting Chen, Meidan Ding, Wooi Ping Cheah, Rong Qu, Jianfeng Ren* and Linlin Shen*. S3-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation, AAAI 2025, Philadelphia, Pennsylvania, USA. (AI Summit)

15. Xiaole Xian, Xilin He, Zenghao Niu, Junliang Zhang, Weicheng Xie, Siyang Song, Zitong Yu and Linlin Shen. CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing, AAAI 2025, Philadelphia, Pennsylvania, USA. (AI Summit)

16. Zihan Wang, Siyang Song, Cheng Luo, Songhe Deng, Weicheng Xie and Linlin Shen*. Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition, CVPR 2024, Seattle, USA (Top Computer Vision Conference)

17. Jinheng Xie, Songhe Deng, Bing Li, Haozhe Liu, Yawen Huang, Yefeng Zheng, Jürgen Schmidhuber, Bernard Ghanem, Linlin Shen, and Mike Zheng Shou. Tune-An-Ellipse: CLIP Has Potential to Find What You Want. CVPR 2024, Seattle, USA (Top Computer Vision Conference)

18. Weizhao He, Yang Zhang, Wei Zhuo, Linlin Shen, JiaqiYang, Songhe Deng, Liang Sun. APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation. CVPR 2024, Seattle, USA (Top Computer Vision Conference)

19. Yudong Li, Xianxu Hou, Dezhi Zheng, Linlin Shen*, Zhe Zhao. FLIP-80M: 80 Million Visual-Linguistic Pairs for Facial Language-Image Pre-Training. ACM Multimedia 2024 (Oral), Melboune, Australia, Oct. 2024 (Multimedia Summit)

20. Hengde Zhu, Xiangyu Kong, Weicheng Xie, Xin Huang, Linlin Shen, Lu Liu, Hatice Gunes, and Siyang Song. PerFRDiff: Personalised Weight Editing for Multiple Appropriate Facial Reaction Generation, ACM Multimedia 2024, Melboune, Australia, Oct. 2024 (Multimedia Summit)

21. Wenting Chen, Linlin Shen, Jingyang Lin, Jiebo Luo, Xiang Li and Yixuan Yuan. Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation, ACL 2024 ( Top Conference on Natural Language Processing)

22. Xinquan Yang, Xuguang Li, Xiaoling Luo, Leilei Zeng, Yudi Zhang, Linlin Shen* and Yongqiang Deng. Simplify Implant Depth Prediction as Video Grounding A Texture Perceive Implant Depth Prediction Network, MICCAI 2024, Marrakesh, Morocco, Oct. 2024 (Medical Imaging Top Conference)

23. Shaonan Liu, Wenting Chen, Jie Liu, Xiaoling Luo and Linlin Shen*. GEM: Context-aware Gaze Estimation with Visual Search Behavior Matching for Chest Radiograph. MICCAI 2024, Marrakesh, Morocco, Oct. 2024 (Medical Imaging Top Conference)

24. Jiansong Zhang, Shengnan Wu, Peizhong Liu and Linlin Shen*. A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos, MICCAI 2024, Marrakesh, Morocco, Oct. 2024 (Medical Imaging Top Conference)

25. Qiufu Li, Xi Jia, Jiancan Zhou,Linlin Shen* and Jinming Duan. UniTSFace: Unifined threshold integrated sample-to-sample loss for face recognition. NeurIPS 2023, New Orleans, USA, Dec. 2023 (Top Neural Network Conference)

26. Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen and Mike Zheng Shou. Learning Visual Pior via Geerative Pre-Training. NeurIPS 2023, New Orleans, USA, Dec. 2023 (Top Neural Network Conference)

27. Jiancan Zhou, Xi Jia, Qiufu Li, Linlin Shen* and Jinming Duan. UniFace: Unified Cross-Entropy Loss for Deep Face Recognition. ICCV 2023, Pairs, France (Top Computer Vision Conference)

28. Hao Li, Xianxu Hou, Zepeng Huang and Linlin Shen*. StyleGene: Crossover and Mutation of Region-level Facial Genes for Kinship Face Synthesis. CVPR 2023, Vancouver, Canada (Top Computer Vision Conference, 入选Highlight Paper, 比例2.5%)

29. Songhe Deng, Wei Zhuo, Jinheng Xie and Linlin Shen*. QA-CLIMS: Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation. ACM Multimedia 2023, Vancuver, Canada (Multimedia Summit)

30. Xinquan Yang, Jinheng Xie, Xuechen Li, Xuguang Li, Xin Li, Linlin Shen* and Yongqiang Deng. Text Condition Embedded Regression Network for Dental Implant Position Prediction, Vancouver, Canada, MICCAI 2023, Oct. (Medical Imaging Top Conference)

31. Jianfeng Xiang, Junliang Chen, Wenshuang Liu, Xianxu Hou and Linlin Shen*. RamGAN: Region Attentive Morphing GAN for Region-Level Makeup Transfer, ECCV 2022, Oct. Tel-Aviv, Israel. (Top Computer Vision Conference)

32. Wenshuang Liu, Wenting Chen, Zhanjia Yang and Linlin Shen*. Translate the Facial Regions You Like Using Self-Adaptive Region Translation, AAAI 2021 , Feb. (AI Summit)

33. Yudong Li, Xianxu Hou, Zhe Zhao, Linlin Shen*, Xuefeng Yang and Kimmo Yan. Talk2Face: A Unified Sequence-based Framework for Diverse Face Generation and Analysis Tasks, ACM Multimedia 2022 Oct. Portugal. (Multimedia Summit)

34. Ya-Nan Zhang, Linlin Shen* and Qiufu Li. Content and Gradient Model-driven Deep Network for Single Image Reflection Removal. ACM Multimedia 2022 Oct. Portugal. (Multimedia Summit)

35. Minmin Liu, Xuechen Li, Xiangbo Gao, Junliang Chen, Linlin Shen* and Huisi Wu. Sample hardness based gradient loss for long-tailed cervical cell detection. MICCAI 2022, Oct. (Medical Imaging Top Conference)

36. Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Dong Wei, Xinrong Chen, Linlin Shen* and Yefeng Zheng. Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays. MICCAI 2022, Oct. (Medical Imaging Top Conference)

37. Cheng Luo, Siyang Song, Weicheng Xie, Linlin Shen and Hatice Guns. Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition. IJCAI 2022, USA (人工智能顶会，接受率15%)

38. Jinheng Xie, Xianxu Hou, Kai Ye and Linlin Shen*. CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation, CVPR 2022, USA (Top Computer Vision Conference)

39. Jinheng Xie, Jianfeng Xiang, Junliang Chen, Xiaodong Zhao and Linlin Shen*. C²AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation, CVPR 2022, USA (Top Computer Vision Conference)

40. Jinheng Xie, Cheng Luo, Xiangping Zhu, Ziqi Jin, Weizeng Lu and Linlin Shen*. Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization, ICCV 2021, Oct. Online (Top Computer Vision Conference)

41. Hanbang Liang, Xianxu Hou and Linlin Shen*. SSFlow: Style-guided neural Spline Flows for Face Image Manipulation, ACM Multimedia 2021 Oct. Chengdu, China (Multimedia Summit)

42. Zilong Shao, Siyang Song, Shashank Jaiswal, Linlin Shen*, Michel Valstar and Hatice Gunes, Personality Recognition by Modelling Person-specific Cognitive Processes using Graph Representation, ACM Multimedia 2021 Oct. Chengdu, China,(Multimedia Summit)

43. Qi Wan, Haoqing Ji and Linlin Shen*. Self-attention based Text Knowledge Mining for Text Detection, CVPR 2021, June, USA. (Top Computer Vision Conference)

44. Weizeng Lu, Xi Jia, Weicheng Xie, Linlin Shen*, Yicong Zhou and Jinming Duan. Geometry constrained weakly supervised object localization, ECCV 2020, Aug. Germeny, (Top Computer Vision Conference)

45. Qiufu Li, Linlin Shen*, Sheng Guo and Zhihui Lai. Wavelet Integrated CNNs for Noise-Robust Image Classification, CVPR 2020, Seattle, USA, (Top Computer Vision Conference)

46. 
    

Representative journal articles

1. Ya-Nan Zhang, Qiufu Li, Xu Wu, Nan Mu, Xiaoning Li and Linlin Shen*, A Wavelet-Guided Deep Unfolding Network for Single Image Reflection Removal, IEEE Transactions on Image Processing, Vol X, pp. xxx-xxx, June, 2025.

2. Puxuan Xie, Wei Zhuo, Xinshao Wang, Songhe Deng, Weizhao He, Linlin Shen*. HitBack: Transformer with Hierarchical-Semantic Cross Attention and Background Contrast for Weakly Supervised Wildlife Semantic Segmentation, IEEE Transactions on Multimedia, Vol X, pp. xxx-xxx, June, 2025

3. Kailiang Ye, Qingyu Yang, Zheng Lu*, Heng Yu*, Tianxiang Cui, Ruibin Bai and Linlin Shen*. LLM4Netlist: LLM-enabled Step-based Netlist Generation from Natural Language Description. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol X, pp.xxxx-xxxx, Mar. 2025

4. Jinheng Xie, Songhe Deng, Xianxu Hou, Zhaochua Luo, Linlin Shen*, Yawen Huang, Yefeng Zheng and Mike Zheng Shou. CLIMS++: Casually Intervened Cross Language Image Matching for Weakly Supervised Semantic Segmentation. International Journal of Computer Vision, VolX, pp. xxxx-xxxx, Mar. 2025. (IF 11.6)

5. Yuwu Lu, Dewei Lin, Linlin Shen*, YIcong Zhou and Jiahui Pan. Heterogeneous Domain Adaptation via Correlative and Discriminative Feature Learning, IEEE Transactions on Multimedia, Vol.27, pp.3447-3461, June. 2025. (IF 8.2)

6. Kai Ye, Zepeng Huang, Yilei Xiong, Yu Gao, Jinheng Xie and Linlin Shen*. Progressive Pseudo Labeling for Multi-dataset Detection over Unified Label Space. IEEE Transactions on Multimedia, Vol.27, pp.531-543, Feb. 2025. (IF 8.4)

7. Wei Zhuo†, Yuan Wang†, Junliang Chen, Songhe Deng, Zhi Wang∗, Linlin Shen*, Wenwu Zhu∗. Enhancing Unsupervised Semantic Segmentationthrough Context-Aware Clustering, IEEE Transactions on Multimedia, Vol.26, pp.10081-10093, Oct. 2024. (IF 8.2)

8. Yaning Zhang, Zitong Yu, Tianyi Wang, Xiaobin Huang, Linlin Shen*, Zan Gao and Jianfeng Ren. GenFace: A large-scale fine-grained face forgery benchmark and cross appearance-edge learning. IEEE Transactions on Information Forensics and Security, Vol. 19, pp.8559-8572, Sep. 2024.

9. Yang Zhang and Linlin Shen*. Automatic Learning Rate Adaption for Memristive Deep Learning Systems. IEEE Transactions on Neural Networks and Learning Systems, Vol. 35(8), pp.10791-10802, Aug. 2024. (IF 14.2)

10. Weicheng Xie, Zhibn Peng, Wenya Lu, Yang Zhang, Linlin Shen* and Siyang Song. Cross-layer Contrastive Learning of Latent Semantics for Facial Expression Recognition. IEEE Transactions on Image Processing, Vol. 31, pp. 7048-7062, May. 2024 ( IF 11.0)

11. Feng Liu, Wenfeng Zeng, YIn Li and Linlin Shen*. A Lightweight and Noise-Robust Method for Internal OCT Fingerprint Reconstruction. IEEE Transactions on Information Forensics and Security, Vol. 19, pp.5492-5504, May. 2024.

12. Junliang Chen, Weizeng Lu, Yuexiang Li, Linlin Shen* and Jinming Duan. Adversarial learning of Object-aware activation map for weakly-supervised semantic segmentation. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 30(8), pp. 3935-3946, Aug. 2023. (IF 8.4)

13. Weicheng Xie, Wenya Lu, Zhibin Peng and Linlin Shen*. Consistency preservation and feature regularization for GAN based face editing, IEEE Transactions on Multimedia, Vol.25, pp.8892-8905, Dec. 2023. (IF 8.2)

14. Xianxun Hou, Xiaokang Zhang, Yudong Li and Linlin Shen*. TextFace: Text-to-Style Mapping based Face Generation and Manipulation, IEEE Transactions on Multimedia, Vol. 25, pp.3409-3419, Aug. 2023. (IF 8.2)

15. Xianxu Hou, Xiaokang Zhang, Hanbang Liang, Linlin Shen* and Zhong Ming. Lifelong Age Transformation with a Deep Generative Prior, IEEE Transactions on Multimedia, Vol. 25, pp.3125-3139, Aug. 2023. (IF 8.2)

16. Siyang Song, Zilong Shao, Shashank Jaiswal, Linlin Shen*, Michel Valstar and Hatice Gunes. Learning Person-specific Cognition from Facial Reactions for Automatic Personality Recognition, IEEE Transactions on Affective Computing, Vol. 14(4), pp.3048-3065, March. 2023. (IF 14.0)

17. Siyang Song, Shashank Jaiswal, Enrique Sanchez, Georgios Tzimiropoulos, Linlin Shen* and Michel Valstar. Self-supervised Learning of Person-specific Facial Dynamics for Automatic Personality Recognition, IEEE Transactions on Affective Computing, Vol. 14(1), pp.178-195, March. 2023. (IF 14.0)

18. Ziqi Jin, Bizhu Wu, Jinheng Xie and Linlin Shen*. Weakly Supervised Pedestrian Segmentation for Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 33 (3), pp. 1349-1362, March. 2023. (IF 8.4)

19. Yuwu Lu, Wenjing Wang, Biqing Zeng, Zhihui Lai, Linlin Shen* and Xuelong Li. Canonical Correlation Analysis With Low-Rank Learning for Image Representation. IEEE Transactions on Image Processing, Vol. 31, pp. 7048-7062, Nov. 2022 ( IF 11.0)

20. Siyang Song, Shashank Jaiswal, Linlin Shen* and Michel Valstar. Spectral Representation of Behaviour Primitives for Depression Analysis. IEEE Transactions on Affective Computing. Vol. 13(2), pp.829-844, Jun. 2022 (2023 Best Paper Award Runner-up, IF 14.0)

21. Bing Li, Yuanlue Zhu, Yitong Wang, Chia-Wen Lin, Bernard Ghanem and Linlin Shen*, AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation, IEEE Transactions on Multimedia, Vol. 24, pp. 4077-4091, Aug. 2022. (IF 8.2)

22. Xiaokang Zhang, Yuanlue Zhu, Wenting Chen, Wenshuang Liu and Linlin Shen*. Gated SwitchGAN for multi-domain facial image translation, IEEE Transactions on Multimedia, Vol. 24, pp.1990-2003, Apr. 2022. (IF 8.2)

23. Weicheng Xie, Haoqian Wu, Yi Tian, Mengchao Bai and Linlin Shen*. Triplet loss with multistage outlier suppression and class-pair margins for facial expression recognition. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 32 (2), pp. 690-703, Feb. 2022. (IF 8.4)

24. Weicheng Xie, Linlin Shen* and Jinming Duan. Adaptive Weighting of Hand-crafted Feature Losses for Facial Expression Recognition. IEEE Transactions on Cybernetics, Vol. 51(5), pp.2787-2800, May, 2021. (IF 19.1)

25. Yang Zhang, Menglin Cui, Linlin Shen* and Zhigang Zeng. Memristive Quantized Neural Networks A Novel Approach to Accelerate Deep Learning On-Chip. IEEE Transactions on Cybernetics, Vol.51(4), pp.1875-1887, Apr. 2021. (IF 19.1)

26. Yang Zhang, Menglin Cui, Linlin Shen* and Zhigang Zeng. Memristive Fuzzy Deep Learning Systems, IEEE Transactions on Fuzzy Systems, Vol.29(8), pp.2224-2238, Aug. 2021 (IF 12.2)

27. Qiufu Li, Linlin Shen*, Sheng Guo and Zhihui Lai. WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification. IEEE Transactions on Image Processing, Vol. 30, pp. 7074-7089, Aug. 2021 ( IF 11.0)

28. Feng Liu, Haozhe Liu, Wentian Zhang, Guojie Liu and Linlin Shen*. One-Class Fingerprint Presentation Attack Detection Using Auto-Encoder Network. IEEE Transactions on Image Processing, Vol. 30, pp. 2394-2407, Jan. 2021 ( IF 11.0)

29. Shisong Lin, Mengchao Bai, Feng Liu, Linlin Shen* and Yicong Zhou. Orthogonalization-Guided Feature Fusion Network for Multimodal 2D+3D Facial Expression Recognition, IEEE Transactions on Multimedia, Vol.23, pp. 1581-1591, Jun. 2021.(IF 8.2)

30. Qiufu Li, Linlin Shen*. 3D Neuron Reconstruction in Tangled Neuronal Image with Deep Networks.IEEE Transactions on Medical Imaging,Vol.39 (2), pp. 425-435, Feb. 2020. (IF 10.0)

31. Yuexiang Li, Linlin Shen*, Shiqi Yu. HEp-2 Specimen Image Segmentation and Classification Using Very Deep Fully Convolutional Network. IEEE Transactions on Medical Imaging. Vol. 36 (7), pp.1561-1572,July, 2017. (IF 6.1)