Shulan Ruan, 阮书岚, Ph.D.

Shui Mu Tsinghua Scholar, 水木学者

Shenzhen International Graduate School
Tsinghua University（THU）

Email: slruan@mail.ustc.edu.cn;   slruan@sz.tsinghua.edu.cn

Biography

I am currently a post-doctoral fellow at the Shenzhen International Graduate School, Tsinghua University. I received the Ph.D degree from the School of Computer Science and Technology of University of Science and Technology of China (USTC) in June, 2024, under the supervision of Prof. Enhong Chen.I'm now a member of IEEE, ACM, CAAI and CCF.
My current research interest lies in deep learning and data mining, with a special focus on data representation learning mechanisms, algorithms and their applications in various scenarios such as Cross-modality Semantic Understanding, Text-to-image Synthesis and AI for Medical. I have published 15 papers including ICCV, AAAI, IJCAI and TMM. One paper published on TMM won the "ESI Highly Cited Paper".

Education

Experience

Honor

Publication (Google Scholar)

  1. Shulan Ruan, Kun Zhang, Le Wu, Tong Xu, Qi Liu, Enhong Chen, Color Enhanced Cross Correlation Net for Image Sentiment Analysis, IEEE Transactions on Multimedia (TMM, JCR Q1, CCF B, IF 8.182), vol. 26, pp. 4097-4109, 2024[pdf] 🏆 ESI Highly Cited Paper (ESI高被引)
  2. Jun Shi*, Shulan Ruan*(co-first author), Ziqi Zhu, Minfan Zhao, Hong An, Xudong Xue, Bing Yan, Predictive Accuracy-Based Active Learning for Medical Image Segmentation, The 33rd International Joint Conference on Artificial Intelligence (IJCAI'2024, CCF A), accepted
  3. Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen, DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis, 2021 IEEE/CVF International Conference on Computer Vision (ICCV'2021, CCF A), 11-17 October 2021, Virtual[pdf]
  4. Shulan Ruan, Kun Zhang, Yijun Wang, Hanqing Tao, Weidong He, Guangyi Lv, Enhong Chen, Context-Aware Generation-Based Net for Multi-Label Visual Emotion Recognition, 2020 IEEE International Conference on Multimedia and Expo (ICME'2020, CCF B), 6-10 July 2020, London, United Kingdom[pdf]
  5. Xiangneng Gao, Shulan Ruan*(corresponding author), Jun Shi, Guoqing Hu, Wei Wei, Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer, 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC'2023, CCF C), 1-4 October, 2023, Hyatt Maui, Hawaii, USA[pdf]
  6. Bin Feng, Shulan Ruan, Likang Wu, Huijie Liu, Kai Zhang, Kun Zhang, Qi Liu, Enhong Chen, Caption Matters: A New Perspective for Knowledge-based Visual Question Answering, Knowledge and Information Systems (KAIS, CCF B, IF 2.5), accepted in 2024
  7. Jun Shi, Zhaohui Wang, Shulan Ruan, Minfan Zhao, Ziqi Zhu, Hongyu Kan, Hong An, Xudong Xue, Bing Yan, Rethinking automatic segmentation of gross target volume from a decoupling perspective, Computerized Medical Imaging and Graphics (CMIG, JCR Q1, IF 5.7), 112: 102323, 2024[pdf]
  8. Jun Yu, Yingshuai Zheng, Shulan Ruan, Qi Liu, Zhiyuan Cheng, Jinze Wu, Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization, The 32nd International Joint Conference on Artificial Intelligence (IJCAI'2023, CCF A), 19-25 August 2023, Macao, China[pdf]
  9. Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, and Meng Wang, Description-Enhanced Label Embedding Contrastive Learning for Text Classifcation, IEEE Transactions on Neural Networks and Learning Systems (TNNLS, JCR Q1, CCF B, IF 14.26), Early Access, 2023
  10. Minghui Shan, Yixiao Ma, Shulan Ruan, Zhi Cao, Shiwei Tong, Qi Liu, Yu Su, Shijin Wang, PaperLM: A Pre-trained Model for Hierarchical Examination Papers Representation Learning , The 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023, CCF B), 21-25 October 2023, University of Birmingham and Eastside Rooms, UK[pdf]
  11. Jun Shi, Hongyu Kan, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Liang Qiao, Zhaohui Wang, Hong An, Xudong Xue, H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation, The 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'2023, CCF B), 8-12 October 2023, Vancouver, Canada[pdf]
  12. Weicao, Kun Zhang, Shulan Ruan, Hanqing Tao, Sirui Zhao, Hao Wang, Qi Liu, Enhong Chen, Causal Narrative Comprehension: A New Perspective for Emotion Cause Extraction, IEEE Transactions on Affective Computing (TAFFC, JCR Q1, CCF B, IF 13.99), 13(4), 1743-1758, 2022[pdf]
  13. Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan, Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching, The 35th AAAI Conference on Artificial Intelligence (AAAI'2021, CCF A), 2-9 February 2021, Virtual[pdf]
  14. Jun Shi, Huite Yi, Shulan Ruan, Zhaohui Wang, Xiaoyu Hao, Hong An, Wei Wei, DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT Images, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM'2021, CCF B), 9-12 December 2021, Online[pdf]
  15. 李梦莹, 王晓东, 阮书岚, 张琨, 刘淇，基于双路注意力机制的学生成绩预测模型, 计算机研究与发展, 57(8):1729-1740，2020年8月.[pdf]