Zhengyuan Zhu - RankMe

48 papers A* 7A 3B 4Misc 1Journal 25Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A Knowledge Graph Informing Soil Carbon Modeling. ICWE 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	J	`jnl`	A Knowledge Graph Informing Soil Carbon Modeling. CoRR 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	—	`conf`	LLMTaxo: Leveraging Large Language Models for Constructing Taxonomy of Factual Claims from Social Media. ACL (Findings) Haiqi Zhang, Zhengyuan Zhu, Zeyu Zhang, Chengkai Li
2025	J	`jnl`	LLMTaxo: Leveraging Large Language Models for Constructing Taxonomy of Factual Claims from Social Media. CoRR Haiqi Zhang, Zhengyuan Zhu, Zeyu Zhang, Chengkai Li
2025	—	`conf`	MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering. COLING (Demonstrations) Zhengyuan Zhu, Daniel Lee, Hong Zhang, Sai Sree Harsha, Loic Feujio, Akash Maharaj, Yunyao Li
2025	—	`conf`	RATSD: Retrieval Augmented Truthfulness Stance Detection from Social Media Posts Toward Factual Claims. NAACL (Findings) Zhengyuan Zhu, Zeyu Zhang, Haiqi Zhang, Chengkai Li
2025	J	`jnl`	ReVeal-MT: A Physics-Informed Neural Network for Multi-Transmitter Radio Environment Mapping. CoRR Mukaram Shahid, Kunal Das, Hadia Ushaq, Hongwei Zhang, Jiming Song, Daji Qiao, Sarath Babu, Yong Guan, Zhengyuan Zhu, Arsalan Ahmad
2025	—	`conf`	ReVeal: A Physics-Informed Neural Network for High-Fidelity Radio Environment Mapping. DySPAN Mukaram Shahid, Kunal Das, Hadia Ushaq, Hongwei Zhang, Jiming Song, Daji Qiao, Sarath Babu, Yong Guan, Zhengyuan Zhu, Arsalan Ahmad
2025	J	`jnl`	Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso. J. Comput. Graph. Stat. Xin Zhang, Shan Yu, Zhengyuan Zhu, Xin Wang
2025	A	`conf`	TSD-CT: A Benchmark Dataset for Truthfulness Stance Detection. CIKM Zhengyuan Zhu, Haiqi Zhang, Zeyu Zhang, Chengkai Li
2025	A	`conf`	TrustMap: Mapping Truthfulness Stance of Social Media Posts on Factual Claims for Geographical Analysis. CIKM Zhengyuan Zhu, Haiqi Zhang, Zeyu Zhang, Chengkai Li
2025	J	`jnl`	TrustMap: Mapping Truthfulness Stance of Social Media Posts on Factual Claims for Geographical Analysis. CoRR Zhengyuan Zhu, Haiqi Zhang, Zeyu Zhang, Chengkai Li
2024	—	`conf`	Exploring Behavioral Tendencies on Social Media: A Perspective Through Claim Check-Worthiness. ASONAM (1) Zeyu Zhang, Zhengyuan Zhu, Haiqi Zhang, Chengkai Li
2024	J	`jnl`	MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering. CoRR Zhengyuan Zhu, Daniel Lee, Hong Zhang, Sai Sree Harsha, Loic Feujio, Akash Maharaj, Yunyao Li
2024	A*	`conf`	PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation. ICLR Zhuqing Liu, Xin Zhang, Jia Liu, Zhengyuan Zhu, Songtao Lu
2024	A	`conf`	Wildfire: A Twitter Social Sensing Platform for Layperson. WSDM Zeyu Zhang, Zhengyuan Zhu, Haiqi Zhang, Foram Patel, Josue Caraballo, Patrick Hennecke, Chengkai Li
2024	J	`jnl`	Wireless Spectrum in Rural Farmlands: Status, Challenges and Opportunities. CoRR Mukaram Shahid, Kunal Das, Taimoor Ul Islam, Christ Somiah, Daji Qiao, Arsalan Ahmad, Jimming Song, Zhengyuan Zhu, Sarath Babu, Yong Guan, Tusher Chakraborty, Suraj Jog, Ranveer Chandra, Hongwei Zhang
2023	J	`jnl`	Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data. Technometrics Xin Wang, Xin Zhang, Zhengyuan Zhu
2023	J	`jnl`	Efficient Water-Saving Irrigation, Space Efficiency and Agricultural Development - Study Based on Spatial Stochastic Frontier Model. J. Syst. Sci. Complex. Aihua Han, Jian Huang, Xin Wang, Zhengyuan Zhu
2023	A*	`conf`	Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs. EMNLP Xiao Shi, Zhengyuan Zhu, Zeyu Zhang, Chengkai Li
2023	J	`jnl`	Spatial heterogeneity automatic detection and estimation. Comput. Stat. Data Anal. Xin Wang, Zhengyuan Zhu, Hao Helen Zhang
2022	J	`jnl`	NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data. CoRR Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu
2022	B	`conf`	NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data. MobiHoc Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu
2021	—	`conf`	A Dashboard for Mitigating the COVID-19 Misinfodemic. EACL (System Demonstrations) 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	J	`jnl`	A Submonthly Surface Water Classification Framework via Gap-Fill Imputation and Random Forest Classifiers of Landsat Imagery. Remote. Sens. Charles J. Labuzzetta, Zhengyuan Zhu, Xinyue Chang, Yuyu Zhou
2021	B	`conf`	GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning. MobiHoc Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth Serena Bentley
2021	J	`jnl`	GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning. CoRR Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
2021	A*	`conf`	Low Sample and Communication Complexities in Decentralized Learning: A Triple Hybrid Approach. INFOCOM Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth Serena Bentley
2021	A*	`conf`	Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning. NeurIPS Xin Zhang, Zhuqing Liu, Jia Liu, Zhengyuan Zhu, Songtao Lu
2020	A*	`conf`	Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors. INFOCOM Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
2020	J	`jnl`	Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach. CoRR Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
2020	B	`conf`	Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach. MobiHoc Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
2020	—	`conf`	Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning. CDC Xin Zhang, Jia Liu, Zhengyuan Zhu
2019	J	`jnl`	Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors. CoRR Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
2019	A*	`conf`	Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks. INFOCOM Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
2019	J	`jnl`	Distributed Linear Model Clustering over Networks: A Tree-Based Fused-Lasso ADMM Approach. CoRR Xin Zhang, Jia Liu, Zhengyuan Zhu
2019	J	`jnl`	Regression-Enhanced Random Forests. CoRR Haozhe Zhang, Dan Nettleton, Zhengyuan Zhu
2019	J	`jnl`	Spatial CUSUM for Signal Region Detection. CoRR Xin Zhang, Zhengyuan Zhu
2018	J	`jnl`	A new algorithm to estimate monotone nonparametric link functions and a comparison with parametric approach. Stat. Comput. Xin Wang, Vivekananda Roy, Zhengyuan Zhu
2018	J	`jnl`	Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks. CoRR Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
2018	J	`jnl`	Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning. CoRR Xin Zhang, Jia Liu, Zhengyuan Zhu
2017	J	`jnl`	Adaptive data center activation with user request prediction. Comput. Networks Min Sang Yoon, Ahmed E. Kamal, Zhengyuan Zhu
2016	J	`jnl`	Modeling nonstationary covariance function with convolution on sphere. Comput. Stat. Data Anal. Yang Li, Zhengyuan Zhu
2016	—	`conf`	Requests Prediction in Cloud with a Cyclic Window Learning Algorithm. GLOBECOM Workshops Min Sang Yoon, Ahmed E. Kamal, Zhengyuan Zhu
2015	J	`jnl`	Request Prediction in Cloud with a Cyclic Window Learning Algorithm. CoRR Min Sang Yoon, Ahmed E. Kamal, Zhengyuan Zhu
2009	Misc	`conf`	Nonparametric spectral density estimation with missing observations. ICASSP Thomas C. M. Lee, Zhengyuan Zhu
2007	J	`jnl`	Robust estimation of the self-similarity parameter in network traffic using wavelet transform. Signal Process. Haipeng Shen, Zhengyuan Zhu, Thomas C. M. Lee
2006	A*	`conf`	Spatial scan statistics: approximations and performance study. KDD Deepak Agarwal, Andrew McGregor, Jeff M. Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu