Yu Wang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 18

Top Topics

Hybrid Generative Discriminative

Convolutional Network

Link Prediction

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

Yuying Zhao, Yu Wang, Yi Zhang, Pamela J. Wisniewski, Charu C. Aggarwal, Tyler Derr
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation. CoRR (2024)
Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. ICLR (2024)
Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr
Knowledge Graph Prompting for Multi-Document Question Answering. AAAI (2024)
Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui
Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation. WWW (Companion Volume) (2024)
Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr
Augmenting Textual Generation via Topology Aware Retrieval. CoRR (2024)
Yuying Zhao, Yu Wang, Yi Zhang, Pamela J. Wisniewski, Charu C. Aggarwal, Tyler Derr
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation. AAAI (2024)
April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed
Fairness-Aware Graph Neural Networks: A Survey. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. CoRR (2024)
Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr
Edge Classification on Graphs: New Directions in Topological Imbalance. CoRR (2024)
Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley
CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. CoRR (2024)
Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. WWW (2024)
Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr
Large Generative Graph Models. CoRR (2024)
Yuying Zhao, Yu Wang, Tyler Derr
Fairness and Explainability: Bridging the Gap towards Fair Model Explanations. AAAI (2023)
Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr
Collaboration-Aware Graph Convolutional Network for Recommender Systems. WWW (2023)
Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. CoRR (2023)
Yu Wang, Jin-Zhu Yu, Hiba Baroud
A Bayesian Approach to Reconstructing Interdependent Infrastructure Networks from Cascading Failures. CoRR (2022)
Yu Wang, Tyler Derr
Degree-Related Bias in Link Prediction. ICDM (Workshops) (2022)
Yuying Zhao, Yu Wang, Tyler Derr
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations. CoRR (2022)