A Deeply-Recursive Convolutional Network For Crowd Counting. - Xinghao Ding; Zhirui Lin; Fujin He; Yu Wang 160; Yue Huang 001 (ICASSP, 2018)

A Data-Integration Analysis on Road Emissions and Traffic Patterns. - Ao Qu; Yu Wang 160; Yue Hu; Yanbing Wang; Hiba Baroud (SMC, 2020)

Tree Decomposed Graph Neural Network. - Yu Wang 160; Tyler Derr (CIKM, 2021)

Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification. - Yu Wang 160; Charu Aggarwal 001; Tyler Derr (CoRR, 2021)

Crowd Density Estimation Using Fusion of Multi-Layer Features. - Xinghao Ding; Fujin He; Zhirui Lin; Yu Wang 160; Huimin Guo; Yue Huang 001 (IEEE Trans. Intell. Transp. Syst., 2021)

Imbalanced Graph Classification via Graph-of-Graph Neural Networks. - Yu Wang 160; Yuying Zhao; Neil Shah; Tyler Derr (CIKM, 2022)

Degree-Related Bias in Link Prediction. - Yu Wang 160; Tyler Derr (ICDM (Workshops), 2022)

On Structural Explanation of Bias in Graph Neural Networks. - Yushun Dong; Song Wang 013; Yu Wang 160; Tyler Derr; Jundong Li (KDD, 2022)

ChemicalX: A Deep Learning Library for Drug Pair Scoring. - Benedek Rozemberczki; Charles Tapley Hoyt; Anna Gogleva; Piotr Grabowski; Klas Karis; Andrej Lamov; Andriy Nikolov; Sebastian Nilsson; Michaël Ughetto; Yu Wang 160; Tyler Derr; Benjamin M. Gyori (KDD, 2022)

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. - Yu Wang 160; Yuying Zhao; Yushun Dong; Huiyuan Chen; Jundong Li; Tyler Derr (KDD, 2022)

Fair Graph Representation Learning with Imbalanced and Biased Data. - Yu Wang 160 (WSDM, 2022)

Collaboration-Aware Graph Convolutional Networks for Recommendation Systems. - Yu Wang 160; Yuying Zhao; Yi Zhang; Tyler Derr (CoRR, 2022)

A Bayesian Approach to Reconstructing Interdependent Infrastructure Networks from Cascading Failures. - Yu Wang 160; Jin-Zhu Yu; Hiba Baroud (CoRR, 2022)

Generating Synthetic Systems of Interdependent Critical Infrastructure Networks. - Yu Wang 160; Jin-Zhu Yu; Hiba Baroud (IEEE Syst. J., 2022)

Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery. - Yunchao Liu 001; Yu Wang 160; Oanh Vu; Rocco Moretti; Bobby Bodenheimer; Jens Meiler; Tyler Derr (AAAI, 2023)

Fairness and Explainability: Bridging the Gap towards Fair Model Explanations. - Yuying Zhao; Yu Wang 160; Tyler Derr (AAAI, 2023)

Collaboration-Aware Graph Convolutional Network for Recommender Systems. - Yu Wang 160; Yuying Zhao; Yi Zhang; Tyler Derr (WWW, 2023)

Knowledge Graph Prompting for Multi-Document Question Answering. - Yu Wang 160; Nedim Lipka; Ryan A. Rossi; Alexa F. Siu; Ruiyi Zhang 002; Tyler Derr (AAAI, 2024)

Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation. - Yuying Zhao; Yu Wang 160; Yi Zhang; Pamela J. Wisniewski; Charu C. Aggarwal; Tyler Derr (AAAI, 2024)

Data Quality-aware Graph Machine Learning. - Yu Wang 160; Kaize Ding; Xiaorui Liu; Jian Kang 008; Ryan A. Rossi; Tyler Derr (CIKM, 2024)

Topology-aware Retrieval Augmentation for Text Generation. - Yu Wang 160; Nedim Lipka; Ruiyi Zhang 002; Alexa F. Siu; Yuying Zhao; Bo Ni; Xin Wang 061; Ryan A. Rossi; Tyler Derr (CIKM, 2024)

A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. - Yu Wang 160; Tong Zhao 003; Yuying Zhao; Yunchao Liu 001; Xueqi Cheng; Neil Shah; Tyler Derr (ICLR, 2024)

WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking. - Yunchao Liu 001; Ha Dong; Xin Wang 061; Rocco Moretti; Yu Wang 160; Zhaoqian Su; Jiawei Gu; Bobby Bodenheimer; Charles David Weaver; Jens Meiler; Tyler Derr (NeurIPS, 2024)

Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation. - Yu Wang 160; Amin Javari; Janani Balaji; Walid Shalaby; Tyler Derr; Xiquan Cui (WWW (Companion Volume), 2024)

Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. - Yuying Zhao; Minghua Xu 003; Huiyuan Chen; Yuzhong Chen; Yiwei Cai; Rashidul Islam; Yu Wang 160; Tyler Derr (WWW, 2024)

Knowledge Graph-based Session Recommendation with Adaptive Propagation. - Yu Wang 160; Amin Javari; Janani Balaji; Walid Shalaby; Tyler Derr; Xiquan Cui (CoRR, 2024)

Augmenting Textual Generation via Topology Aware Retrieval. - Yu Wang 160; Nedim Lipka; Ruiyi Zhang 002; Alexa F. Siu; Yuying Zhao; Bo Ni; Xin Wang 061; Ryan A. Rossi; Tyler Derr (CoRR, 2024)

Large Generative Graph Models. - Yu Wang 160; Ryan A. Rossi; Namyong Park; Huiyuan Chen; Nesreen K. Ahmed; Puja Trivedi; Franck Dernoncourt; Danai Koutra; Tyler Derr (CoRR, 2024)

Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs. - Leyao Wang; Yu Wang 160; Bo Ni; Yuying Zhao; Tyler Derr (CoRR, 2024)

A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions. - Xueqi Cheng; Catherine Yang; Yuying Zhao; Yu Wang 160; Hamid Karimi; Tyler Derr (CoRR, 2024)

A Survey of Small Language Models. - Chien Van Nguyen; Xuan Shen; Ryan Aponte; Yu Xia 007; Samyadeep Basu; Zhengmian Hu; Jian Chen 043; Mihir Parmar; Sasidhar Kunapuli; Joe Barrow; Junda Wu; Ashish Singh; et al. (CoRR, 2024)

GRS-QA - Graph Reasoning-Structured Question Answering Dataset. - Anish Pahilajani; Devasha Trivedi; Jincen Shuai; Khin S. Yone; Samyak Rajesh Jain; Namyong Park; Ryan A. Rossi; Nesreen K. Ahmed; Franck Dernoncourt; Yu Wang 160 (CoRR, 2024)

DynaSaur: Large Language Agents Beyond Predefined Actions. - Dang Nguyen; Viet Dac Lai; Seunghyun Yoon 002; Ryan A. Rossi; Handong Zhao; Ruiyi Zhang 002; Puneet Mathur; Nedim Lipka; Yu Wang 160; Trung Bui; Franck Dernoncourt; Tianyi Zhou 001 (CoRR, 2024)

Personalized Multimodal Large Language Models: A Survey. - Junda Wu; Hanjia Lyu; Yu Xia 007; Zhehao Zhang 001; Joe Barrow; Ishita Kumar; Mehrnoosh Mirtaheri; Hongjie Chen 003; Ryan A. Rossi; Franck Dernoncourt; Tong Yu 001; Ruiyi Zhang 002; et al. (CoRR, 2024)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (CoRR, 2024)

Fairness-Aware Graph Neural Networks: A Survey. - April Chen; Ryan A. Rossi; Namyong Park; Puja Trivedi; Yu Wang 160; Tong Yu 001; Sungchul Kim; Franck Dernoncourt; Nesreen K. Ahmed (ACM Trans. Knowl. Discov. Data, 2024)

A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. - Yi Zhang; Yuying Zhao; Zhaoqing Li; Xueqi Cheng; Yu Wang 160; Olivera Kotevska; Philip S. Yu; Tyler Derr (IEEE Trans. Knowl. Data Eng., 2024)

Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective. - Bo Ni; Yu Wang 160; Lu Cheng; Erik Blasch; Tyler Derr (AAAI, 2025)

Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases. - Yongjia Lei; Haoyu Han 001; Ryan A. Rossi; Franck Dernoncourt; Nedim Lipka; Mahantesh M. Halappanavar; Jiliang Tang; Yu Wang 160 (ACL (Findings), 2025)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (ACL (Findings), 2025)

From Selection to Generation: A Survey of LLM-based Active Learning. - Yu Xia 007; Subhojyoti Mukherjee; Zhouhang Xie; Junda Wu; Xintong Li 001; Ryan Aponte; Hanjia Lyu; Joe Barrow; Hongjie Chen 003; Franck Dernoncourt; Branislav Kveton; Tong Yu 001; et al. (ACL (1), 2025)

A Large-scale Training Paradigm for Graph Generative Models. - Yu Wang 160; Ryan A. Rossi; Namyong Park; Huiyuan Chen; Nesreen K. Ahmed; Puja Trivedi; Franck Dernoncourt; Danai Koutra; Tyler Derr (ICLR, 2025)

Demystifying the Power of Large Language Models in Graph Generation. - Yu Wang 160; Ryan A. Rossi; Namyong Park; Nesreen K. Ahmed; Danai Koutra; Franck Dernoncourt; Tyler Derr (NAACL (Findings), 2025)

Edge Classification on Graphs: New Directions in Topological Imbalance. - Xueqi Cheng; Yu Wang 160; Yunchao Liu 001; Yuying Zhao; Charu C. Aggarwal; Tyler Derr (WSDM, 2025)

Advancements in Ligand-Based Virtual Screening through the Synergistic Integration of Graph Neural Networks and Expert-Crafted Descriptors. - Yunchao Liu 001; Rocco Moretti; Yu Wang 160; Ha Dong; Bailu Yan; Bobby Bodenheimer; Tyler Derr; Jens Meiler (J. Chem. Inf. Model., 2025)

Personalization of Large Language Models: A Survey. - Zhehao Zhang 001; Ryan A. Rossi; Branislav Kveton; Yijia Shao; Diyi Yang; Hamed Zamani; Franck Dernoncourt; Joe Barrow; Tong Yu 001; Sungchul Kim; Ruiyi Zhang 002; Jiuxiang Gu; et al. (Trans. Mach. Learn. Res., 2025)

Retrieval-Augmented Generation with Graphs (GraphRAG). - Haoyu Han 001; Yu Wang 160; Harry Shomer; Kai Guo 003; Jiayuan Ding; Yongjia Lei; Mahantesh Halappanavar; Ryan A. Rossi; Subhabrata Mukherjee; Xianfeng Tang; Qi He 002; Zhigang Hua; et al. (CoRR, 2025)

Personalized Graph-Based Retrieval for Large Language Models. - Steven Au; Cameron J. Dimacali; Ojasmitha Pedirappagari; Namyong Park; Franck Dernoncourt; Yu Wang 160; Nikos Kanakaris; Hanieh Deilamsalehy; Ryan A. Rossi; Nesreen K. Ahmed (CoRR, 2025)

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey. - Bo Ni; Zheyuan Liu 010; Leyao Wang; Yongjia Lei; Yuying Zhao; Xueqi Cheng; Qingkai Zeng 001; Luna Dong; Yinglong Xia; Krishnaram Kenthapadi; Ryan A. Rossi; Franck Dernoncourt; et al. (CoRR, 2025)

RAG vs. GraphRAG: A Systematic Evaluation and Key Insights. - Haoyu Han 001; Harry Shomer; Yu Wang 160; Yongjia Lei; Kai Guo 003; Zhigang Hua; Bo Long; Hui Liu 031; Jiliang Tang (CoRR, 2025)

Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent. - Junda Wu; Yuxin Xiong; Xintong Li 001; Yu Xia 007; Ruoyu Wang 038; Yu Wang 160; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Lina Yao 001; Jingbo Shang; Julian J. McAuley (CoRR, 2025)

Fairness and Diversity in Recommender Systems: A Survey. - Yuying Zhao; Yu Wang 160; Yunchao Liu 001; Xueqi Cheng; Charu C. Aggarwal; Tyler Derr (ACM Trans. Intell. Syst. Technol., 2025)

Empowering GraphRAG with Knowledge Filtering and Integration. - Kai Guo 003; Harry Shomer; Shenglai Zeng; Haoyu Han 001; Yu Wang 160; Jiliang Tang (CoRR, 2025)

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation. - Yuying Zhao; Xiaodong Yang; Huiyuan Chen; Xiran Fan; Yu Wang 160; Yiwei Cai; Tyler Derr (CoRR, 2025)

Amplifying Your Social Media Presence: Personalized Influential Content Generation with LLMs. - Yuying Zhao; Yu Wang 160; Xueqi Cheng; Anne M. Tumlin; Yunchao Liu 001; Damin Xia; Meng Jiang 001; Tyler Derr (CoRR, 2025)

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. - Li Li 006; Peilin Cai; Ryan A. Rossi; Franck Dernoncourt; Branislav Kveton; Junda Wu; Tong Yu 001; Linxin Song; Tiankai Yang 001; Yuehan Qin; Nesreen K. Ahmed; Samyadeep Basu; et al. (CoRR, 2025)

A Graph Perspective to Probe Structural Patterns of Knowledge in Large Language Models. - Utkarsh Sahu; Zhisheng Qi; Yongjia Lei; Ryan A. Rossi; Franck Dernoncourt; Nesreen K. Ahmed; Mahantesh M. Halappanavar; Yao Ma 001; Yu Wang 160 (CoRR, 2025)

Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition. - Mayank Bumb; Anshul Vemulapalli; Sri Harsha Vardhan Prasad Jella; Anish Gupta; An La; Ryan A. Rossi; Hongjie Chen 003; Franck Dernoncourt; Nesreen K. Ahmed; Yu Wang 160 (CoRR, 2025)

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality. - Mohamed Elmoghany; Ryan A. Rossi; Seunghyun Yoon 002; Subhojyoti Mukherjee; Eslam Mohamed Bakr; Puneet Mathur; Gang Wu 013; Viet Dac Lai; Nedim Lipka; Ruiyi Zhang 002; Varun Manjunatha; Chien Van Nguyen; et al. (CoRR, 2025)