| 2025 | ACL | LLMTaxo: Leveraging Large Language Models for Constructing Taxonomy of Factual Claims from Social Media. | Haiqi Zhang, Zhengyuan Zhu, Zeyu Zhang, Chengkai Li |
| 2025 | CIKM | TSD-CT: A Benchmark Dataset for Truthfulness Stance Detection. | Zhengyuan Zhu, Haiqi Zhang, Zeyu Zhang, Chengkai Li |
| 2025 | CIKM | TrustMap: Mapping Truthfulness Stance of Social Media Posts on Factual Claims for Geographical Analysis. | Zhengyuan Zhu, Haiqi Zhang, Zeyu Zhang, Chengkai Li |
| 2025 | COLING | MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering. | Zhengyuan Zhu, Daniel Lee, Hong Zhang, Sai Sree Harsha, Loic Feujio, Akash Maharaj, Yunyao Li |
| 2025 | ICWE | A Knowledge Graph Informing Soil Carbon Modeling. | Nasim Shirvani-Mahdavi, Devin Wingfield, Juan Guajardo Gutierrez, Mai Tran, Zhengyuan Zhu, Zeyu Zhang, Haiqi Zhang, Abhishek Divakar Goudar, Chengkai Li, Virginia L. Jin, Timothy Propst, Dan Roberts, Catherine Stewart, Jianzhong Su, Jennifer Woodward-Greene |
| 2025 | NAACL | RATSD: Retrieval Augmented Truthfulness Stance Detection from Social Media Posts Toward Factual Claims. | Zhengyuan Zhu, Zeyu Zhang, Haiqi Zhang, Chengkai Li |
| 2024 | ICLR | PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation. | Zhuqing Liu, Xin Zhang, Jia Liu, Zhengyuan Zhu, Songtao Lu |
| 2024 | WSDM | Wildfire: A Twitter Social Sensing Platform for Layperson. | Zeyu Zhang, Zhengyuan Zhu, Haiqi Zhang, Foram Patel, Josue Caraballo, Patrick Hennecke, Chengkai Li |
| 2023 | EMNLP | Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs. | Xiao Shi, Zhengyuan Zhu, Zeyu Zhang, Chengkai Li |
| 2022 | MOBIHOC | NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data. | Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu |
| 2021 | EACL | A Dashboard for Mitigating the COVID-19 Misinfodemic. | Zhengyuan Zhu, Kevin Meng, Josue Caraballo, Israa Jaradat, Xiao Shi, Zeyu Zhang, Farahnaz Akrami, Haojin Liao, Fatma Arslan, Damian Jimenez, Mohammed Samiul Saeef, Paras Pathak, Chengkai Li |
| 2021 | INFOCOM | Low Sample and Communication Complexities in Decentralized Learning: A Triple Hybrid Approach. | Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth Serena Bentley |
| 2021 | MOBIHOC | GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning. | Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth Serena Bentley |
| 2020 | INFOCOM | Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors. | Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley |
| 2020 | MOBIHOC | Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach. | Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu |
| 2019 | INFOCOM | Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks. | Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley |
| 2016 | GLOBECOM | Requests Prediction in Cloud with a Cyclic Window Learning Algorithm. | Min Sang Yoon, Ahmed E. Kamal, Zhengyuan Zhu |
| 2009 | ICASSP | Nonparametric spectral density estimation with missing observations. | Thomas C. M. Lee, Zhengyuan Zhu |
| 2006 | KDD | Spatial scan statistics: approximations and performance study. | Deepak Agarwal, Andrew McGregor, Jeff M. Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu |