Shulan Ruan 阮书岚, Ph.D., Assistant Researcher

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 an associate researcher at the Shenzhen International Graduate School, Tsinghua University(THU). Prior to this, I received the Ph.D degree from the School of Computer Science and Technology of University of Science and Technology of China (USTC), under the supervision of Prof. Enhong Chen from Sep. 2018 to June, 2024. I visited Prof. Lei Chen at Hong Kong University of Science and Technology from Jan. 2023 to Sep. 2023. I was a reserach intern mentored by Dr. Yong Zhang at Tencent AI Lab from Aug. 2020 to Apr. 2021. I have published 18 papers in top conferences and journals including ICCV, AAAI, IJCAI, TOIS, TMM, TNNLS. I'm now a member of IEEE, ACM, CAAI and CCF. My current research interest lies in LLM, computer vision, multimedia and data mining related area. I have three reaserch groups (SMC) across THU and USTC:

News

Publication (Google Scholar)

  1. Shulan Ruan, Huijie Liu, Zhao Chen, Bin Feng, Kun Zhang, Caleb Chen Cao, Enhong Chen, Lei Chen. CPWS: Confident Programmatic Weak Supervision for High-Quality Data Labeling, ACM Transactions on Information Systems (TOIS, CCF A), accept, 2025
  2. 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)
  3. 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
  4. 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]
  5. 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]
  6. 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]
  7. Huijie Liu, Shulan Ruan, Han Wu, Zhenya Huang, Defu Lian, Qi Liu, Enhong Chen, Multi-view Heterogeneous HyperGNN for Heterophilic Knowledge Combination Prediction, IEEE Transactions on Big Data (TBD, JCR Q1, IF 7.5), Early Access, 2025
  8. Bin Feng, Shulan Ruan, Mingzheng Yang, Dongxuan Han, Huijie Liu, Kai Zhang, Qi Liu, SentiFormer: Metadata Enhanced Transformer for Image Sentiment Analysis, 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'2025, CCF B), accepted.
  9. 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
  10. 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]
  11. 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]
  12. 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
  13. 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]
  14. 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]
  15. Wei Cao, 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]
  16. 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]
  17. 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]
  18. 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]