Deep Supervised Hashing With Anchor Graph. - Yudong Chen 002; Zhihui Lai 001; Yujuan Ding; Kaiyi Lin; Wai Keung Wong (ICCV, 2019)

Knowledge Enhanced Neural Fashion Trend Forecasting. - Yunshan Ma; Yujuan Ding; Xun Yang 001; Lizi Liao; Wai Keung Wong; Tat-Seng Chua (ICMR, 2020)

Discriminative dual-stream deep hashing for large-scale image retrieval. - Yujuan Ding; Wai Keung Wong; Zhihui Lai 001; Zheng Zhang 006 (Inf. Process. Manag., 2020)

Bilinear Supervised Hashing Based on 2D Image Features. - Yujuan Ding; Wai Keung Wong; Zhihui Lai 001; Zheng Zhang 006 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Study on 2D Feature-Based Hash Learning. - Yujuan Ding; Wai Keung Wong; Zhihui Lai 001; Yudong Chen 002 (IEEE Trans. Multim., 2020)

Leveraging Two Types of Global Graph for Sequential Fashion Recommendation. - Yujuan Ding; Yunshan Ma; Wai Keung Wong; Tat-Seng Chua (ICMR, 2021)

Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting. - Yunshan Ma; Yujuan Ding; Xun Yang 001; Lizi Liao; Wai Keung Wong; Tat-Seng Chua; Jinyoung Moon; Hong-Han Shuai (ICMR, 2021)

Multi-Perspective Video Captioning. - Yi Bin; Xindi Shang; Bo Peng 007; Yujuan Ding; Tat-Seng Chua (ACM Multimedia, 2021)

Modeling Field-Level Factor Interactions for Fashion Recommendation. - Yujuan Ding; P. Y. Mok 001; Xun Yang 001; Yanghong Zhou (ICME, 2022)

Non-Autoregressive Cross-Modal Coherence Modelling. - Yi Bin; Wenhao Shi; Jipeng Zhang; Yujuan Ding; Yang Yang 002; Heng Tao Shen (ACM Multimedia, 2022)

Entity Slot Filling for Visual Captioning. - Yi Bin; Yujuan Ding; Bo Peng 007; Liang Peng; Yang Yang 002; Tat-Seng Chua (IEEE Trans. Circuits Syst. Video Technol., 2022)

Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media. - Yujuan Ding; Yunshan Ma; Lizi Liao; Wai Keung Wong; Tat-Seng Chua (IEEE Trans. Multim., 2022)

Modeling Instant User Intent and Content-Level Transition for Sequential Fashion Recommendation. - Yujuan Ding; Yunshan Ma; Wai Keung Wong; Tat-Seng Chua (IEEE Trans. Multim., 2022)

Non-Autoregressive Sentence Ordering. - Yi Bin; Wenhao Shi; Bin Ji 002; Jipeng Zhang; Yujuan Ding; Yang Yang 002 (EMNLP (Findings), 2023)

Recommendation of Mix-and-Match Clothing by Modeling Indirect Personal Compatibility. - Shuiying Liao; Yujuan Ding; P. Y. Mok 001 (ICMR, 2023)

Modeling Multi-Relational Connectivity for Personalized Fashion Matching. - Yujuan Ding; P. Y. Mok 001; Yi Bin; Xun Yang 001; Zhiyong Cheng 001 (ACM Multimedia, 2023)

Solving Math Word Problems with Reexamination. - Yi Bin; Wenhao Shi; Yujuan Ding; Yang Yang 002; See-Kiong Ng (CoRR, 2023)

Personalized fashion outfit generation with user coordination preference learning. - Yujuan Ding; P. Y. Mok 001; Yunshan Ma; Yi Bin (Inf. Process. Manag., 2023)

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. - Wenqi Fan; Yujuan Ding; Liangbo Ning 001; Shijie Wang 002; Hengyun Li; Dawei Yin; Tat-Seng Chua; Qing Li 001 (KDD, 2024)

Deep Scaling Factor Quantization Network for Large-scale Image Retrieval. - Ziqing Deng; Zhihui Lai 001; Yujuan Ding; Heng Kong; Xu Wu (ICMR, 2024)

Reproducibility Companion Paper: Recommendation of Mix-and-Match Clothing by Modeling Indirect Personal Compatibility. - Shuiying Liao; Yujuan Ding; P. Y. Mok 001; Qiushi Huang; Jialun Cao (ICMR, 2024)

Leveraging Weak Cross-Modal Guidance for Coherence Modelling via Iterative Learning. - Yi Bin; Junrong Liao; Yujuan Ding; Haoxuan Li 002; Yang Yang 002; See-Kiong Ng; Heng Tao Shen (ACM Multimedia, 2024)

GalleryGPT: Analyzing Paintings with Large Multimodal Models. - Yi Bin; Wenhao Shi; Yujuan Ding; Zhiqiang Hu; Zheng Wang 044; Yang Yang 002; See-Kiong Ng; Heng Tao Shen (ACM Multimedia, 2024)

Large Language Models for Graph Learning. - Yujuan Ding; Wenqi Fan; Xiao Huang 001; Qing Li 001 (WWW (Companion Volume), 2024)

FashionReGen: LLM-Empowered Fashion Report Generation. - Yujuan Ding; Yunshan Ma; Wenqi Fan; Yige Yao; Tat-Seng Chua; Qing Li 001 (WWW (Companion Volume), 2024)

A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models. - Yujuan Ding; Wenqi Fan; Liangbo Ning 001; Shijie Wang 002; Hengyun Li; Dawei Yin; Tat-Seng Chua; Qing Li 001 (CoRR, 2024)

ChartAdapter: Large Vision-Language Model for Chart Summarization. - Peixin Xu; Yujuan Ding; Wenqi Fan (CoRR, 2024)

Computational Technologies for Fashion Recommendation: A Survey. - Yujuan Ding; Zhihui Lai 001; P. Y. Mok 001; Tat-Seng Chua (ACM Comput. Surv., 2024)

Towards Retrieval-Augmented Large Language Models: Data Management and System Design. - Wenqi Fan; Pangjing Wu; Yujuan Ding; Liang-Bo Ning 001; Shijie Wang 002; Qing Li 001 (ICDE, 2025)

A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models. - Liangbo Ning 001; Ziran Liang; Zhuohang Jiang; Haohao Qu; Yujuan Ding; Wenqi Fan; Xiaoyong Wei; Shanru Lin; Hui Liu 031; Philip S. Yu; Qing Li 001 (CoRR, 2025)