Context-Aware Generation-Based Net For Multi-Label Visual Emotion Recognition. - Shulan Ruan; Kun Zhang 015; Yijun Wang 002; Hanqing Tao; Weidong He; Guangyi Lv; Enhong Chen (ICME, 2020)

R2-Net: Relation of Relation Learning Network for Sentence Semantic Matching. - Kun Zhang 015; Le Wu; Guangyi Lv; Meng Wang 001; Enhong Chen; Shulan Ruan (CoRR, 2020)

Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching. - Kun Zhang 015; Le Wu; Guangyi Lv; Meng Wang 001; Enhong Chen; Shulan Ruan (AAAI, 2021)

DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT Images. - Jun Shi 007; Huite Yi; Shulan Ruan; Zhaohui Wang 002; Xiaoyu Hao; Hong An; Wei Wei (BIBM, 2021)

DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis. - Shulan Ruan; Yong Zhang 034; Kun Zhang 015; Yanbo Fan; Fan Tang; Qi Liu 003; Enhong Chen (ICCV, 2021)

Causal Narrative Comprehension: A New Perspective for Emotion Cause Extraction. - Wei Cao; Kun Zhang 015; Shulan Ruan; Hanqing Tao; Sirui Zhao; Hao Wang 076; Qi Liu 003; Enhong Chen (IEEE Trans. Affect. Comput., 2022)

PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning. - Minghui Shan; Yixiao Ma; Shulan Ruan; Zhi Cao; Shiwei Tong; Qi Liu 003; Yu Su 002; Shijin Wang 001 (CIKM, 2023)

Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization. - Jun Yu 011; Yingshuai Zheng; Shulan Ruan; Qi Liu 003; Zhiyuan Cheng 014; Jinze Wu (IJCAI, 2023)

H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation. - Jun Shi 007; Hongyu Kan; Shulan Ruan; Ziqi Zhu; Minfan Zhao; Liang Qiao; Zhaohui Wang 002; Hong An; Xudong Xue (MICCAI (4), 2023)

Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer. - Xiangneng Gao; Shulan Ruan; Jun Shi 007; Guoqing Hu; Wei Wei (SMC, 2023)

Predictive Accuracy-Based Active Learning for Medical Image Segmentation. - Jun Shi 007; Shulan Ruan; Ziqi Zhu; Minfan Zhao; Hong An; Xudong Xue; Bing Yan (IJCAI, 2024)

Rethinking automatic segmentation of gross target volume from a decoupling perspective. - Jun Shi 007; Zhaohui Wang 002; Shulan Ruan; Minfan Zhao; Ziqi Zhu; Hongyu Kan; Hong An; Xudong Xue; Bing Yan (Comput. Medical Imaging Graph., 2024)

Color Enhanced Cross Correlation Net for Image Sentiment Analysis. - Shulan Ruan; Kun Zhang 015; Le Wu; Tong Xu 001; Qi Liu 003; Enhong Chen (IEEE Trans. Multim., 2024)

Description-Enhanced Label Embedding Contrastive Learning for Text Classification. - Kun Zhang 015; Le Wu; Guangyi Lv; Enhong Chen; Shulan Ruan; Jing Liu 001; Zhiqiang Zhang 012; Jun Zhou 011; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Caption matters: a new perspective for knowledge-based visual question answering. - Bin Feng; Shulan Ruan; Likang Wu; Huijie Liu; Kai Zhang 038; Kun Zhang 015; Qi Liu 003; Enhong Chen (Knowl. Inf. Syst., 2024)

Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models. - Liyang He; Chenglong Liu; Rui Li 093; Zhenya Huang; Shulan Ruan; Jun Zhou 011; Enhong Chen (ACL (Findings), 2025)

SentiFormer: Metadata Enhanced Transformer for Image Sentiment Analysis. - Bin Feng; Shulan Ruan; Mingzheng Yang; Dongxuan Han; Huijie Liu; Kai Zhang; Qi Liu (ICASSP, 2025)

SentiFormer: Metadata Enhanced Transformer for Image Sentiment Analysis. - Bin Feng; Shulan Ruan; Mingzheng Yang; Dongxuan Han; Huijie Liu; Kai Zhang 038; Qi Liu 003 (CoRR, 2025)

A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects. - Shulan Ruan; Rongwei Wang; Xuchen Shen; Huijie Liu; Baihui Xiao; Jun Shi; Kun Zhang 015; Zhenya Huang; Yu Liu 005; Enhong Chen; You He (CoRR, 2025)

CPWS: Confident Programmatic Weak Supervision for High-Quality Data Labeling. - Shulan Ruan; Huijie Liu; Zhao Chen 003; Bin Feng; Kun Zhang 015; Caleb Chen Cao; Enhong Chen; Lei Chen 002 (ACM Trans. Inf. Syst., 2025)

Multi-View Heterogeneous HyperGNN for Heterophilic Knowledge Combination Prediction. - Huijie Liu; Shulan Ruan; Han Wu 002; Zhenya Huang; Defu Lian; Qi Liu 003; Enhong Chen (IEEE Trans. Big Data, 2025)