Analyses on Microphysical Structure of Stratiform Cloud Under a Cold Vortex Process in Jilin Province. - Liming Zhou; Shengjie Niu; Hengchi Lei; Yuxia Wu (ICNC (5), 2008)

IDH mutation assessment of glioma using texture features of multimodal MR images. - Xi Zhang 017; Qiang Tian; Yuxia Wu; Xiaopan Xu; Baojuan Li; Yi-Xiong Liu; Yang Liu 093; Hongbing Lu (Computer-Aided Diagnosis, 2017)

Multi-contrast MRI registration of carotid arteries based on cross-sectional images and lumen boundaries. - Yuxia Wu; Xi Zhang 017; Xiaopan Xu; Yang Liu 093; Guopeng Zhang; Baojuan Li; Hui-Jun Chen; Hongbing Lu (Image Processing, 2017)

Three-dimensional texture features from intensity and high-order derivative maps for the discrimination between bladder tumors and wall tissues via MRI. - Xiaopan Xu; Xi Zhang 017; Qiang Tian; Guopeng Zhang; Yang Liu 093; Guang-Bin Cui; Jiang Meng; Yuxia Wu; Tianshuai Liu; Zengyue Yang; Hongbing Lu (Int. J. Comput. Assist. Radiol. Surg., 2017)

Long- and Short-term Preference Learning for Next POI Recommendation. - Yuxia Wu; Ke Li 032; Guoshuai Zhao; Xueming Qian (CIKM, 2019)

Multi-Sample based Contrastive Loss for Top-k Recommendation. - Hao Tang; Guoshuai Zhao; Yuxia Wu; Xueming Qian (CoRR, 2021)

Viewpoint Recommendation Based on Object-Oriented 3D Scene Reconstruction. - Ke Li 032; Yuxia Wu; Yao Xue; Xueming Qian (IEEE Trans. Multim., 2021)

LAST: Location-Appearance-Semantic-Temporal Clustering Based POI Summarization. - Xueming Qian; Yuxia Wu; Mingdi Li; Yayun Ren; Shuhui Jiang; Zhetao Li (IEEE Trans. Multim., 2021)

Semi-supervised New Slot Discovery with Incremental Clustering. - Yuxia Wu; Lizi Liao; Xueming Qian; Tat-Seng Chua (EMNLP (Findings), 2022)

Personalized Long- and Short-term Preference Learning for Next POI Recommendation. - Yuxia Wu; Ke Li 032; Guoshuai Zhao; Xueming Qian (IEEE Trans. Knowl. Data Eng., 2022)

Annular-Graph Attention Model for Personalized Sequential Recommendation. - Junmei Hao; Yujie Dun; Guoshuai Zhao; Yuxia Wu; Xueming Qian (IEEE Trans. Multim., 2022)

Actively Discovering New Slots for Task-oriented Conversation. - Yuxia Wu; Tianhao Dai; Zhedong Zheng; Lizi Liao (CoRR, 2023)

Ranking-based contrastive loss for recommendation systems. - Hao Tang; Guoshuai Zhao; Yujiao He; Yuxia Wu; Xueming Qian (Knowl. Based Syst., 2023)

Multisample-Based Contrastive Loss for Top-K Recommendation. - Hao Tang; Guoshuai Zhao; Yuxia Wu; Xueming Qian (IEEE Trans. Multim., 2023)

State Graph Reasoning for Multimodal Conversational Recommendation. - Yuxia Wu; Lizi Liao; Gangyi Zhang; Wenqiang Lei; Guoshuai Zhao; Xueming Qian; Tat-Seng Chua (IEEE Trans. Multim., 2023)

Fine-grained semantic textual similarity measurement via a feature separation network. - Qiang Chen; Guoshuai Zhao; Yuxia Wu; Xueming Qian (Appl. Intell., 2023)

Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery. - Yimin Deng; Yuxia Wu; Guoshuai Zhao; Li Zhu 003; Xueming Qian (EMNLP (Findings), 2024)

A Survey of Ontology Expansion for Conversational Understanding. - Jinggui Liang; Yuxia Wu; Yuan Fang 001; Hao Fei 001; Lizi Liao (EMNLP, 2024)

On the Feasibility of Simple Transformer for Dynamic Graph Modeling. - Yuxia Wu; Yuan Fang 001; Lizi Liao (WWW, 2024)

Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting. - Xingtong Yu; Yuan Fang 001; Zemin Liu; Yuxia Wu; Zhihao Wen; Jianyuan Bo; Xinming Zhang 001; Steven C. H. Hoi (CoRR, 2024)

Extended state observer based finite-time fault-tolerant formation control for multi-UAVs. - Yuxia Wu; Hongjing Liang; Shuxing Xuan; Xilin Zhang (J. Frankl. Inst., 2024)

Active Discovering New Slots for Task-Oriented Conversation. - Yuxia Wu; Tianhao Dai; Zhedong Zheng; Lizi Liao (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Reason Generation for Point of Interest Recommendation Via a Hierarchical Attention-Based Transformer Model. - Yuxia Wu; Guoshuai Zhao; Mingdi Li; Zhuocheng Zhang; Xueming Qian (IEEE Trans. Multim., 2024)

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs. - Yimin Deng; Yuxia Wu; Yejing Wang; Guoshuai Zhao; Li Zhu 003; Qidong Liu 002; Derong Xu; Zichuan Fu; Xian Wu 001; Yefeng Zheng 001; Xiangyu Zhao 001; Xueming Qian (ACL (Findings), 2025)

Exploring the Potential of Large Language Models for Heterophilic Graphs. - Yuxia Wu; Shujie Li 003; Yuan Fang 001; Chuan Shi 001 (NAACL (Long Papers), 2025)

Retrieval Augmented Generation for Dynamic Graph Modeling. - Yuxia Wu; Lizi Liao; Yuan Fang 001 (SIGIR, 2025)

Few-Shot Learning on Graphs: From Meta-Learning to LLM-empowered Pre-Training and Beyond. - Yuan Fang 001; Yuxia Wu; Xingtong Yu; Shirui Pan (WWW (Companion Volume), 2025)

HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs. - Shujie Li 003; Yuxia Wu; Chuan Shi 001; Yuan Fang 001 (CoRR, 2025)

Reinforcement Learning H∞ Optimal Formation Control for Perturbed Multiagent Systems With Nonlinear Faults. - Yuxia Wu; Hongjing Liang; Shuxing Xuan; Choon Ki Ahn (IEEE Trans. Syst. Man Cybern. Syst., 2025)