Google Scholar – citations: 1,033, h-index: 15
Spatial Reasoning in Foundation Models: Benchmarking Object-Centric Spatial Understanding
Vahid Mirjalili, Ramin Giahi, Sriram Kollipara, Akshay Kekuda, Kehui Yao, Kai Zhao, Jianpeng Xu, Kaushiki Nag, Sinduja Subramaniam, Topojoy Biswas, Evren Korpeoglu, Kannan Achan
Neurips 2025 on Spatial Reasoning
LayoutAgent: A Vision-Language Agent Guided Compositional Diffusion for Spatial Layout Planning
Zezhong Fan, Xiaohan Li, Luyi Ma, Kai Zhao, Liang Peng, Topojoy Biswas, Evren Korpeoglu, Kaushiki Nag, Kannan Achan
Neurips 2025 on Spatial Reasoning
No-Human in the Loop: Agentic Evaluation at Scale for Recommendation
Tao Zhang, Kehui Yao, Luyi Ma, Reza Yousefi Maragheh, Jiao Chen, Kai Zhao, Jianpeng Xu, Evren Korpeoglu, Sushant Kumar, Kannan Achan
NeurIPS 2025 on LLM Evaluation
MetaSynth: Multi-Agent Metadata Generation from Implicit Feedback in Black-Box Systems
Shreeranjani srirangamsridharan, Ali Abavisani, Reza Yousefi Maragheh, Ramin Giahi, Kai Zhao, Jason Cho, Sushant Kumar
NeurIPS 2025 on World Models
Generative AI and LLM
37 Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names,
D. Zhang, M. Chen, W. Huang, Y. Gong, K. Zhao
In proceedings of (2024) IJCAI.
36 Urban Region Embedding via Multi-View Contrastive Prediction,
Z. Li, W. Huang, K. Zhao, M. Yang, Y. Gong, M. Chen
In proceedings of (2024) AAAI.
35 Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning,
Y. Lyu, J. Hao, Z. Wang, K. Zhao, S. Gao, P. Ren, Z. Chen, F. Wang, Z. Ren
In proceedings of (2023) EMNLP.
34 Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information,
D. Zhang, W. Huang, K. Zhao, M. Chen,
In proceedings of (2023) IJCAI.
33 Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations,
Z. Wang, K. Zhao, Y. He, Z. Chen, P. Ren, M. Rijke, Z. Ren,
In proceedings of (2023) CIKM.
32 Dynamics of Information Revelation in Online Reviews,
K. Zhao, W. Jabr, Y. Cheng, S. Srivastava
In proceedings of (2018) AMCIS.
31 What Are They Saying? A Methodology for Extracting Information from Online Reviews,
K. Zhao, W. Jabr, Y. Cheng, S. Srivastava
In proceedings of (2018) ICIS.
30 Limits of Predictability in Top-N Recommendation,
E. Xu, K. Zhao, Z. Yu, Y. Zhang, B. Guo, L. Yao
(2024) Information Processing & Management, impact factor: 8.6
29 Modeling Question Difficulty for Unbiased Cognitive Diagnosis: A Causal Perspective,
X. Chen, S. Feng, M. Yang, K. Zhao, R. Xu, C. Cui, M. Chen
(2024) Knowledge-Based Systems, impact factor: 8.8
Machine Learning Engineering
28 Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity
T. Sun, K. Fu, W. Huang, K. Zhao, Y. Gong, M. Chen
In proceedings of (2024) KDD
27 Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences,
H. Jia, M. Chen, W. Huang, K. Zhao, Y. Gong
In proceedings of (2024) IJCAI.
26 Beyond The Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability,
K. Zhao, C. Zhang, M. Chen
(2023) IEEE Transactions on Knowledge and Data Engineering, impact factor: 8.9
35(5): 4514-4526
25 Multivariate Time-Series Forecasting Model: Predictability Analysis and Empirical Study,
Q. Zhao, G. Yang, K. Zhao, J. Yin, W. Rao, L. Chen
(2023) IEEE Transactions on Big Data, impact factor: 7.2
24 Human Mobility Prediction based on Trend Iteration of Spectral Clustering,
W. Jia, S. Zhao, K. Zhao
(2023) IEEE Transactions on Mobile Computing, impact factor: 7.9
23 The Hierarchical Clustering of Human Mobility Behaviors,
K. Zhao, W. Jia, S. Zhao,
(2023) IEEE Transactions on Computational Social Systems, impact factor: 5.0
22 Hyper-Clustering Enhanced Spatio-Temporal Deep Learning for Traffic and Demand Prediction in Bike-Sharing Systems,
K. Zhao, S. Zhao, Y. Xia, W. Jia,
(2022) Information Sciences, 612: 626-637, impact factor: 8.2
21 Predicting Taxi and Uber Demand in Cities: Approaching the Limit of Predictability,
K. Zhao, D. Khryashchev, H. Vo
(2021) IEEE Transactions on Knowledge and Data Engineering, impact factor: 8.9
33(6): 2723-2736
20 PR-LTTE: Link Travel Time Estimation Based on Path Recovery from Large-scale Incomplete Trip Data,
T. Sun, K. Zhao, C. Zhang, M. Chen, X. Yu
(2021) Information Sciences, 589: 34-45, impact factor: 8.2
19 The Hierarchical Clustering of Human Mobility Behaviors,
K. Zhao, W. Jia, S. Zhao
In proceedings of (2021) CIST.
18 Toward Effective Mobile Promotion: A Survey of Mobile Prediction Techniques and Applications,
K. Zhao, H. Xiao, A. Rai
In proceedings of (2020) AMCIS.
17 Hierarchical Prediction Based Two-level Gaussian Mixture Model Clustering for Bike-sharing System,
W. Jia, Y. Tan, L. Liu, J. Li, H. Zhang, K. Zhao
(2019) Knowledge-Based Systems, 178, 84-97, impact factor: 8.8
16 Experimental Study of Multivariate Time Series Forecasting Models ,
J. Ying, M. Yuan, K. Zhao, W. Rao
In proceedings of ACM (2019) CIKM.
15 DeepLoc: Deep Neural Network-based Telco Localization ,
Y. Zhang, Y. Xiao, K. Zhao, W. Rao
In proceedings of (2019) MobiQuitous.
A-level mobile analytics conference by CORE CS conference ranking.
Best Paper award (1 out of 150 submissions).
Machine Learning Infrastructure
14 GeoMatch: Efficient Large-Scale Map Matching on Apache Spark,
A. Zeidan, E. Lagerspetz, K. Zhao, P. Nurmi, S. Tarkoma, H. Vo
(2020) ACM Transactions on Data Science, s1, 3, Article 21, impact factor: 1.9
13 GeoMatch: Efficient Large-Scale Map Matching on Apache Spark,
A. Zeidan, E. Lagerspetz, K. Zhao, P. Nurmi, S. Tarkoma, and H. Vo
In proceedings of IEEE (2018) BigData.
12 Exploring What not to Clean in Urban Data: A Study Using New York City Taxi Trips,
J. Freire, A. Bessa, F. Chirigati, H. Vo, K. Zhao.
IEEE Data Engineering Bulletin (2017) DEB.
11 Urban Pulse: Capturing the Rhythms of cities
F. Miranda, H. Doraiswamy, M. Lage, K. Zhao, B. Goncalves, L. Wilson, M. Hsieh, C. Silva.
(2017) IEEE Transactions on Visualization and Computer Graphics,23(1), 791-800.
Featured by The Economist. impact factor: 5.2
10 Inferring Unmet Human Mobility Demand with Multi-Source Urban Data,
K. Zhao, X. Zheng, H. Vo.
In proceedings of ApWeb (2017) HotSpatial.
9 Urban Human Mobility Data Mining: An Overview,
K. Zhao, S. Tarkoma, S. Liu, H. Vo
In proceedings of IEEE (2016) BigData.
8 Predicting Taxi Demand at High Spatial Resolution: Approaching the Limit of Predictability,
K. Zhao, D. Khryashchev, J. Freire, C. Silva, H. Vo.
In proceedings of IEEE (2016) BigData.
7 Towards Maximizing Timely Content Delivery in Delay Tolerant Networks,
W. Rao, K. Zhao, Y. Zhang, P. Hui, S. Tarkoma.
(2015) IEEE Transactions on Mobile Computing, 14(4): 755-769. impact factor: 7.9
6 Explaining the Power-law Distribution of Human Mobility Through Transportation Modality Decomposition,
K. Zhao, M. Musolesi, P. Hui, W. Rao, S. Tarkoma.
(2015) Scientific Reports, 5(1): 1-7. impact factor: 5.0
Featured by Science Daily.
5 Automatic City Region Analysis for Urban Routing,
K. Zhao, M. P. Chinnasamy, S. Tarkoma.
In proceedings of IEEE (2015) ICDM.
4 Urban Mobility and Networking,
K. Zhao
in proceedings of ACM (2015) MobiSys.
3 CoSense: A Collaborative Sensing Platform for Mobile Devices,
S. Hemminki, K. Zhao, A. Ding, M. Rannanjarvi, S. Tarkoma, P. Nurmi
In proceedings of ACM (2013) SenSys.
2 Energy-aware keyword search on mobile phones ,
W. Rao, K, Zhao, E. Lagerspetz, P. Hui, S. Tarkoma.
In proceedings of ACM (2012) SIGCOMM MCC.
1 Maximizing timely content advertising in DTNs,
W. Rao, K. Zhao, Y. Zhang, P. Hui, S. Tarkoma.
In proceedings of IEEE (2012) SECON.