| 2026 | AAAI | DEPO: Dual-Efficiency Preference Optimization for LLM Agents. | Sirui Chen, Mengshi Zhao, Lei Xu, Yuying Zhao, Beier Zhu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu |
| 2026 | KDD | SaVe-TAG: LLM-based Interpolation for Long-Tailed Text-Attributed Graphs. | Leyao Wang, Yu Wang, Bo Ni, Yuying Zhao, Hanyu Wang, Yao Ma, Tyler Derr |
| 2025 | AIES | Explanation Difference: Bridging Procedural and Distributional Fairness. | Joe Germino, Yuying Zhao, Tyler Derr, Nuno Moniz, Nitesh V. Chawla |
| 2025 | KDD | BTS: A Comprehensive Benchmark for Tie Strength Prediction. | Xueqi Cheng, Catherine Yang, Yuying Zhao, Yu Wang, Hamid Karimi, Tyler Derr |
| 2025 | WSDM | Edge Classification on Graphs: New Directions in Topological Imbalance. | Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr |
| 2024 | AAAI | Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation. | Yuying Zhao, Yu Wang, Yi Zhang, Pamela J. Wisniewski, Charu C. Aggarwal, Tyler Derr |
| 2024 | CIKM | Topology-aware Retrieval Augmentation for Text Generation. | Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr |
| 2024 | CIKM | PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding. | Longlong Lin, Yunfeng Yu, Zihao Wang, Zeli Wang, Yuying Zhao, Jin Zhao, Tao Jia |
| 2024 | ICIP | SLNL: Soft Label Regularization For Semi-Supervised Facial Expression Recognition With Negative Label Learning. | Youwei Zhang, Jing Jiang, Yuying Zhao, Kongming Liang |
| 2024 | ICLR | A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. | Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr |
| 2024 | WWW | Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. | Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr |
| 2023 | AAAI | Fairness and Explainability: Bridging the Gap towards Fair Model Explanations. | Yuying Zhao, Yu Wang, Tyler Derr |
| 2023 | WWW | Collaboration-Aware Graph Convolutional Network for Recommender Systems. | Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr |
| 2022 | AMIA | Inferring EHR Utilization Workflows through Audit Logs. | Xinmeng Zhang, Yuying Zhao, Chao Yan, Tyler Derr, You Chen |
| 2022 | CIKM | Imbalanced Graph Classification via Graph-of-Graph Neural Networks. | Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr |
| 2022 | KDD | Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. | Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr |
| 2021 | CSCWD | Grace: An Efficient Parallel SPARQL Query System over Large-Scale RDF Data. | Xiang Kang, Yuying Zhao, Pingpeng Yuan, Hai Jin |
| 2021 | PDCAT | Temperature Matrix-Based Data Placement Using Improved Hungarian Algorithm in Edge Computing Environments. | Yuying Zhao, Pengwei Wang, Hengdi Huang, Zhaohui Zhang |