Yu Wang

102 papers A* 15A 9B 1Misc 2Journal 62Unranked 13
YearRankTypeTitle / Venue / Authors
2026 — conf
A Survey on LLM-based Conversational User Simulation.
EACL (Volume 1: Long Papers)
Bo Ni, Yu Wang, Leyao Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Luera, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa F. Siu, Zichao Wang, Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi
2026 J jnl
Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation.
CoRR
Zhisheng Qi, Utkarsh Sahu, Li Ma, Haoyu Han, Ryan Rossi, Franck Dernoncourt, Mahantesh Halappanavar, Nesreen K. Ahmed, Yushun Dong, Yue Zhao, Yu Zhang, Yu Wang
2026 — conf
Building Transparency in Deep Learning-Powered Network Traffic Classification: A Traffic-Explainer Framework.
KDD (1)
Riya Ponraj, Ramakrishnan Durairajan, Yu Wang
2026 J jnl
Human-Aligned MLLM Judges for Fine-Grained Image Editing Evaluation: A Benchmark, Framework, and Analysis.
CoRR
Runzhou Liu, Hailey Weingord, Sejal Mittal, Prakhar Dungarwal, Anusha Nandula, Bo Ni, Samyadeep Basu, Hongjie Chen, Nesreen K. Ahmed, Li Li, Jiayi Zhang, Koustava Goswami, Subhojyoti Mukherjee, Branislav Kveton, Puneet Mathur, Franck Dernoncourt, Yue Zhao, Yu Wang, Ryan A. Rossi, Zhengzhong Tu, Hongru Du
2026 J jnl
InfinityStory: Unlimited Video Generation with World Consistency and Character-Aware Shot Transitions.
CoRR
Mohamed Elmoghany, Liangbing Zhao, Xiaoqian Shen, Subhojyoti Mukherjee, Yang Zhou, Gang Wu, Viet Dac Lai, Seunghyun Yoon, Ryan Rossi, Abdullah Rashwan, Puneet Mathur, Varun Manjunatha, Daksh Dangi, Chien Nguyen, Nedim Lipka, Trung Bui, Krishna Kumar Singh, Ruiyi Zhang, Xiaolei Huang, Jaemin Cho, Yu Wang, Namyong Park, Zhengzhong Tu, Hongjie Chen, Hoda Eldardiry, Nesreen K. Ahmed, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt
2026 A conf
Knowledge Homophily in Large Language Models.
WSDM
Utkarsh Sahu, Zhisheng Qi, Mahantesh Halappanavar, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Yu Zhang, Yao Ma, Yu Wang
2026 A* conf
Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs.
WWW
Haoyu Han, Kai Guo, Harry Shomer, Yu Wang, Yucheng Chu, Hang Li, Li Ma, Jiliang Tang
2026 J jnl
Reasoning-Based Personalized Generation for Users with Sparse Data.
CoRR
Bo Ni, Branislav Kveton, Samyadeep Basu, Subhojyoti Mukherjee, Leyao Wang, Franck Dernoncourt, Sungchul Kim, Seunghyun Yoon, Zichao Wang, Ruiyi Zhang, Puneet Mathur, Jihyung Kil, Jiuxiang Gu, Nedim Lipka, Yu Wang, Ryan A. Rossi, Tyler Derr
2026 A conf
Rigorizing Retrieval-augmented Generation with Structured Knowledge Intelligence (6 Hrs).
WSDM
Zhisheng Qi, Yongjia Lei, Haoyu Han, Harry Shomer, Kaize Ding, Yu Zhang, Ryan A. Rossi, Hui Liu, Yu Wang
2026 A conf
Rule Mining and Learning for Structured Knowledge Retrieval.
WSDM
Yongjia Lei, Mahantesh Halappanavar, Yu Wang
2026 — conf
SaVe-TAG: LLM-based Interpolation for Long-Tailed Text-Attributed Graphs.
KDD (1)
Leyao Wang, Yu Wang, Bo Ni, Yuying Zhao, Hanyu Wang, Yao Ma, Tyler Derr
2025 J jnl
A Graph Perspective to Probe Structural Patterns of Knowledge in Large Language Models.
CoRR
Utkarsh Sahu, Zhisheng Qi, Yongjia Lei, Ryan A. Rossi, Franck Dernoncourt, Nesreen K. Ahmed, Mahantesh M. Halappanavar, Yao Ma, Yu Wang
2025 A* conf
A Large-scale Training Paradigm for Graph Generative Models.
ICLR
Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr
2025 J jnl
A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations.
CoRR
Li Li, Peilin Cai, Ryan A. Rossi, Franck Dernoncourt, Branislav Kveton, Junda Wu, Tong Yu, Linxin Song, Tiankai Yang, Yuehan Qin, Nesreen K. Ahmed, Samyadeep Basu, Subhojyoti Mukherjee, Ruiyi Zhang, Zhengmian Hu, Bo Ni, Yuxiao Zhou, Zichao Wang, Yue Huang, Yu Wang, Xiangliang Zhang, Philip S. Yu, Xiyang Hu, Yue Zhao
2025 — conf
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality.
ICCVW
Mohamed Elmoghany, Ryan A. Rossi, Seunghyun Yoon, Subhojyoti Mukherjee, Eslam Mohamed Bakr, Puneet Mathur, Gang Wu, Viet Dac Lai, Nedim Lipka, Ruiyi Zhang, Varun Manjunatha, Chien Nguyen, Daksh Dangi, Abel Salinas, Hongjie Chen, Xiaolei Huang, Joe Barrow, Nesreen K. Ahmed, Hoda Eldardiry, Namyong Park, Yu Wang, Zhengzhong Tu, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt
2025 J jnl
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality.
CoRR
Mohamed Elmoghany, Ryan A. Rossi, Seunghyun Yoon, Subhojyoti Mukherjee, Eslam Mohamed Bakr, Puneet Mathur, Gang Wu, Viet Dac Lai, Nedim Lipka, Ruiyi Zhang, Varun Manjunatha, Chien Van Nguyen, Daksh Dangi, Abel Salinas, Mohammad Reza Taesiri, Hongjie Chen, Xiaolei Huang, Joe Barrow, Nesreen K. Ahmed, Hoda Eldardiry, Namyong Park, Yu Wang, Jaemin Cho, Anh Totti Nguyen, Zhengzhong Tu, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt
2025 Misc conf
A Survey on Small Language Models.
RANLP
Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Michael Rimer, Zhehao Zhang, Huanrui Yang, Puneet Mathur, Gang Wu, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen
2025 J jnl
Advancements in Ligand-Based Virtual Screening through the Synergistic Integration of Graph Neural Networks and Expert-Crafted Descriptors.
J. Chem. Inf. Model.
Yunchao Liu, Rocco Moretti, Yu Wang, Ha Dong, Bailu Yan, Bobby Bodenheimer, Tyler Derr, Jens Meiler
2025 J jnl
Amplifying Your Social Media Presence: Personalized Influential Content Generation with LLMs.
CoRR
Yuying Zhao, Yu Wang, Xueqi Cheng, Anne M. Tumlin, Yunchao Liu, Damin Xia, Meng Jiang, Tyler Derr
2025 — conf
BTS: A Comprehensive Benchmark for Tie Strength Prediction.
KDD (2)
Xueqi Cheng, Catherine Yang, Yuying Zhao, Yu Wang, Hamid Karimi, Tyler Derr
2025 J jnl
Beyond Static Retrieval: Opportunities and Pitfalls of Iterative Retrieval in GraphRAG.
CoRR
Kai Guo, Xinnan Dai, Shenglai Zeng, Harry Shomer, Haoyu Han, Yu Wang, Jiliang Tang
2025 — conf
Demystifying the Power of Large Language Models in Graph Generation.
NAACL (Findings)
Yu Wang, Ryan A. Rossi, Namyong Park, Nesreen K. Ahmed, Danai Koutra, Franck Dernoncourt, Tyler Derr
2025 A conf
Edge Classification on Graphs: New Directions in Topological Imbalance.
WSDM
Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr
2025 J jnl
Edges Matter: An Analysis of Graph Time-Series Representations for Temporal Networks.
IEEE Trans. Netw. Sci. Eng.
Hongjie Chen, Ryan A. Rossi, Nesreen K. Ahmed, Namyong Park, Yu Wang, Tyler Derr, Hoda Eldardiry
2025 A* conf
Empowering GraphRAG with Knowledge Filtering and Integration.
EMNLP
Kai Guo, Harry Shomer, Shenglai Zeng, Haoyu Han, Yu Wang, Jiliang Tang
2025 J jnl
Empowering GraphRAG with Knowledge Filtering and Integration.
CoRR
Kai Guo, Harry Shomer, Shenglai Zeng, Haoyu Han, Yu Wang, Jiliang Tang
2025 J jnl
Fairness and Diversity in Recommender Systems: A Survey.
ACM Trans. Intell. Syst. Technol.
Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr
2025 J jnl
Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition.
CoRR
Mayank Bumb, Anshul Vemulapalli, Sri Harsha Vardhan Prasad Jella, Anish Gupta, An La, Ryan A. Rossi, Hongjie Chen, Franck Dernoncourt, Nesreen K. Ahmed, Yu Wang
2025 — conf
From Selection to Generation: A Survey of LLM-based Active Learning.
ACL (1)
Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao Kenneth Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley
2025 J jnl
From Selection to Generation: A Survey of LLM-based Active Learning.
CoRR
Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao Kenneth Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley
2025 — conf
GUI Agents: A Survey.
ACL (Findings)
Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Jihyung Kil, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt
2025 J jnl
Iterative Critique-Refine Framework for Enhancing LLM Personalization.
CoRR
Durga Prasad Maram, Dhruvin Gandhi, Zonghai Yao, Gayathri Akkinapalli, Franck Dernoncourt, Yu Wang, Ryan A. Rossi, Nesreen K. Ahmed
2025 J jnl
Knowledge Homophily in Large Language Models.
CoRR
Utkarsh Sahu, Zhisheng Qi, Mahantesh Halappanavar, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Yu Zhang, Yao Ma, Yu Wang
2025 — conf
Machine Learning on Graphs in the Era of Generative Artificial Intelligence.
KDD (2)
Yu Wang, Yu Zhang, Zhichun Guo, Harry Shomer, Haoyu Han, Tyler Derr, Nesreen K. Ahmed, Mahantesh Halappanavar, Jiliang Tang
2025 — conf
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent.
EMNLP (Findings)
Junda Wu, Yuxin Xiong, Xintong Li, Yu Xia, Ruoyu Wang, Yu Wang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Jingbo Shang, Julian J. McAuley
2025 J jnl
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent.
CoRR
Junda Wu, Yuxin Xiong, Xintong Li, Yu Xia, Ruoyu Wang, Yu Wang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Jingbo Shang, Julian J. McAuley
2025 — conf
Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases.
ACL (Findings)
Yongjia Lei, Haoyu Han, Ryan A. Rossi, Franck Dernoncourt, Nedim Lipka, Mahantesh M. Halappanavar, Jiliang Tang, Yu Wang
2025 J jnl
Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases.
CoRR
Yongjia Lei, Haoyu Han, Ryan A. Rossi, Franck Dernoncourt, Nedim Lipka, Mahantesh M. Halappanavar, Jiliang Tang, Yu Wang
2025 J jnl
Personalization of Large Language Models: A Survey.
Trans. Mach. Learn. Res.
Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang
2025 J jnl
Personalized Graph-Based Retrieval for Large Language Models.
CoRR
Steven Au, Cameron J. Dimacali, Ojasmitha Pedirappagari, Namyong Park, Franck Dernoncourt, Yu Wang, Nikos Kanakaris, Hanieh Deilamsalehy, Ryan A. Rossi, Nesreen K. Ahmed
2025 J jnl
RAG vs. GraphRAG: A Systematic Evaluation and Key Insights.
CoRR
Haoyu Han, Harry Shomer, Yu Wang, Yongjia Lei, Kai Guo, Zhigang Hua, Bo Long, Hui Liu, Jiliang Tang
2025 J jnl
Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs.
CoRR
Haoyu Han, Kai Guo, Harry Shomer, Yu Wang, Yucheng Chu, Hang Li, Li Ma, Jiliang Tang
2025 J jnl
Retrieval-Augmented Generation with Graphs (GraphRAG).
CoRR
Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang
2025 J jnl
Scaffold-Aware Generative Augmentation and Reranking for Enhanced Virtual Screening.
CoRR
Xin Wang, Yu Wang, Yunchao Liu, Jens Meiler, Tyler Derr
2025 J jnl
SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation.
CoRR
Yuying Zhao, Xiaodong Yang, Huiyuan Chen, Xiran Fan, Yu Wang, Yiwei Cai, Tyler Derr
2025 A* conf
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective.
AAAI
Bo Ni, Yu Wang, Lu Cheng, Erik Blasch, Tyler Derr
2025 J jnl
Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey.
CoRR
Bo Ni, Zheyuan Liu, Leyao Wang, Yongjia Lei, Yuying Zhao, Xueqi Cheng, Qingkai Zeng, Luna Dong, Yinglong Xia, Krishnaram Kenthapadi, Ryan A. Rossi, Franck Dernoncourt, Md. Mehrab Tanjim, Nesreen K. Ahmed, Xiaorui Liu, Wenqi Fan, Erik Blasch, Yu Wang, Meng Jiang, Tyler Derr
2024 J jnl
A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions.
CoRR
Xueqi Cheng, Catherine Yang, Yuying Zhao, Yu Wang, Hamid Karimi, Tyler Derr
2024 J jnl
A Survey of Small Language Models.
CoRR
Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Franck Dernoncourt, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Mike Rimer, Zhehao Zhang, Huanrui Yang, Ryan A. Rossi, Thien Huu Nguyen
2024 J jnl
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications.
IEEE Trans. Knowl. Data Eng.
Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr
2024 A* conf
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance.
ICLR
Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
2024 J jnl
Augmenting Textual Generation via Topology Aware Retrieval.
CoRR
Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr
2024 A* conf
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness.
WWW
Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
2024 J jnl
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness.
CoRR
Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
2024 A conf
Data Quality-aware Graph Machine Learning.
CIKM
Yu Wang, Kaize Ding, Xiaorui Liu, Jian Kang, Ryan A. Rossi, Tyler Derr
2024 J jnl
DynaSaur: Large Language Agents Beyond Predefined Actions.
CoRR
Dang Nguyen, Viet Dac Lai, Seunghyun Yoon, Ryan A. Rossi, Handong Zhao, Ruiyi Zhang, Puneet Mathur, Nedim Lipka, Yu Wang, Trung Bui, Franck Dernoncourt, Tianyi Zhou
2024 J jnl
Edge Classification on Graphs: New Directions in Topological Imbalance.
CoRR
Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr
2024 J jnl
Fairness-Aware Graph Neural Networks: A Survey.
ACM Trans. Knowl. Discov. Data
April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed
2024 J jnl
GRS-QA - Graph Reasoning-Structured Question Answering Dataset.
CoRR
Anish Pahilajani, Devasha Trivedi, Jincen Shuai, Khin S. Yone, Samyak Rajesh Jain, Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Franck Dernoncourt, Yu Wang
2024 J jnl
GUI Agents: A Survey.
CoRR
Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt
2024 A* conf
Knowledge Graph Prompting for Multi-Document Question Answering.
AAAI
Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr
2024 J jnl
Knowledge Graph-based Session Recommendation with Adaptive Propagation.
CoRR
Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui
2024 — conf
Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation.
WWW (Companion Volume)
Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui
2024 J jnl
Large Generative Graph Models.
CoRR
Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr
2024 J jnl
Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs.
CoRR
Leyao Wang, Yu Wang, Bo Ni, Yuying Zhao, Tyler Derr
2024 A* conf
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation.
AAAI
Yuying Zhao, Yu Wang, Yi Zhang, Pamela J. Wisniewski, Charu C. Aggarwal, Tyler Derr
2024 J jnl
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation.
CoRR
Yuying Zhao, Yu Wang, Yi Zhang, Pamela J. Wisniewski, Charu C. Aggarwal, Tyler Derr
2024 J jnl
Personalization of Large Language Models: A Survey.
CoRR
Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang
2024 J jnl
Personalized Multimodal Large Language Models: A Survey.
CoRR
Junda Wu, Hanjia Lyu, Yu Xia, Zhehao Zhang, Joe Barrow, Ishita Kumar, Mehrnoosh Mirtaheri, Hongjie Chen, Ryan A. Rossi, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Namyong Park, Sungchul Kim, Huanrui Yang, Subrata Mitra, Zhengmian Hu, Nedim Lipka, Dang Nguyen, Yue Zhao, Jiebo Luo, Julian J. McAuley
2024 A conf
Topology-aware Retrieval Augmentation for Text Generation.
CIKM
Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr
2024 J jnl
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective.
CoRR
Bo Ni, Yu Wang, Lu Cheng, Erik Blasch, Tyler Derr
2024 A* conf
WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking.
NeurIPS
Yunchao Liu, Ha Dong, Xin Wang, Rocco Moretti, Yu Wang, Zhaoqian Su, Jiawei Gu, Bobby Bodenheimer, Charles David Weaver, Jens Meiler, Tyler Derr
2024 J jnl
WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking.
CoRR
Yunchao Liu, Ha Dong, Xin Wang, Rocco Moretti, Yu Wang, Zhaoqian Su, Jiawei Gu, Bobby Bodenheimer, Charles David Weaver, Jens Meiler, Tyler Derr
2023 J jnl
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications.
CoRR
Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr
2023 J jnl
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance.
CoRR
Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
2023 A* conf
Collaboration-Aware Graph Convolutional Network for Recommender Systems.
WWW
Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr
2023 J jnl
Fairness and Diversity in Recommender Systems: A Survey.
CoRR
Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr
2023 A* conf
Fairness and Explainability: Bridging the Gap towards Fair Model Explanations.
AAAI
Yuying Zhao, Yu Wang, Tyler Derr
2023 J jnl
Fairness-Aware Graph Neural Networks: A Survey.
CoRR
April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed
2023 A* conf
Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery.
AAAI
Yunchao Liu, Yu Wang, Oanh Vu, Rocco Moretti, Bobby Bodenheimer, Jens Meiler, Tyler Derr
2023 J jnl
Knowledge Graph Prompting for Multi-Document Question Answering.
CoRR
Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr
2022 J jnl
A Bayesian Approach to Reconstructing Interdependent Infrastructure Networks from Cascading Failures.
CoRR
Yu Wang, Jin-Zhu Yu, Hiba Baroud
2022 A* conf
ChemicalX: A Deep Learning Library for Drug Pair Scoring.
KDD
Benedek Rozemberczki, Charles Tapley Hoyt, Anna Gogleva, Piotr Grabowski, Klas Karis, Andrej Lamov, Andriy Nikolov, Sebastian Nilsson, Michaël Ughetto, Yu Wang, Tyler Derr, Benjamin M. Gyori
2022 J jnl
ChemicalX: A Deep Learning Library for Drug Pair Scoring.
CoRR
Benedek Rozemberczki, Charles Tapley Hoyt, Anna Gogleva, Piotr Grabowski, Klas Karis, Andrej Lamov, Andriy Nikolov, Sebastian Nilsson, Michaël Ughetto, Yu Wang, Tyler Derr, Benjamin M. Gyori
2022 J jnl
Collaboration-Aware Graph Convolutional Networks for Recommendation Systems.
CoRR
Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr
2022 — conf
Degree-Related Bias in Link Prediction.
ICDM (Workshops)
Yu Wang, Tyler Derr
2022 A conf
Fair Graph Representation Learning with Imbalanced and Biased Data.
WSDM
Yu Wang
2022 J jnl
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations.
CoRR
Yuying Zhao, Yu Wang, Tyler Derr
2022 J jnl
Generating Synthetic Systems of Interdependent Critical Infrastructure Networks.
IEEE Syst. J.
Yu Wang, Jin-Zhu Yu, Hiba Baroud
2022 A conf
Imbalanced Graph Classification via Graph-of-Graph Neural Networks.
CIKM
Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr
2022 A* conf
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage.
KDD
Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
2022 J jnl
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage.
CoRR
Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
2022 A* conf
On Structural Explanation of Bias in Graph Neural Networks.
KDD
Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
2022 J jnl
On Structural Explanation of Bias in Graph Neural Networks.
CoRR
Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
2021 J jnl
Crowd Density Estimation Using Fusion of Multi-Layer Features.
IEEE Trans. Intell. Transp. Syst.
Xinghao Ding, Fujin He, Zhirui Lin, Yu Wang, Huimin Guo, Yue Huang
2021 J jnl
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification.
CoRR
Yu Wang, Charu Aggarwal, Tyler Derr
2021 J jnl
Imbalanced Graph Classification via Graph-of-Graph Neural Networks.
CoRR
Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr
2021 A conf
Tree Decomposed Graph Neural Network.
CIKM
Yu Wang, Tyler Derr
2021 J jnl
Tree Decomposed Graph Neural Network.
CoRR
Yu Wang, Tyler Derr
2020 B conf
A Data-Integration Analysis on Road Emissions and Traffic Patterns.
SMC
Ao Qu, Yu Wang, Yue Hu, Yanbing Wang, Hiba Baroud
2018 Misc conf
A Deeply-Recursive Convolutional Network For Crowd Counting.
ICASSP
Xinghao Ding, Zhirui Lin, Fujin He, Yu Wang, Yue Huang
2018 J jnl
A Deeply-Recursive Convolutional Network for Crowd Counting.
CoRR
Xinghao Ding, Zhirui Lin, Fujin He, Yu Wang, Yue Huang