Kai Zhao

Orcid: 0000-0003-1040-0211

Affiliations:
  • Walmart AI, Bentonville, AR, USA
  • Georgia State University, Atlanta, GA, USA (2017 - 2024)
  • New York University, NY, USA (2015 - 2017)
  • University of Helsinki, Finland (PhD 2015)


According to our database1, Kai Zhao authored at least 38 papers between 2012 and 2025.

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Timeline

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Bibliography

2025
ST2SNet: Spatial-Temporal Two-Layer Synchronous Network for Traffic Flow Prediction.
IEEE Trans. Comput. Soc. Syst., October, 2025

MetaSynth: Multi-Agent Metadata Generation from Implicit Feedback in Black-Box Systems.
CoRR, October, 2025

ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation.
CoRR, June, 2025

CARTS: Collaborative Agents for Recommendation Textual Summarization.
CoRR, June, 2025

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization.
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings.
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

2024
Human-AI Interaction: Human Behavior Routineness Shapes AI Performance.
IEEE Trans. Knowl. Data Eng., December, 2024

Human Mobility Prediction Based on Trend Iteration of Spectral Clustering.
IEEE Trans. Mob. Comput., May, 2024

The Hierarchical Clustering of Human Mobility Behaviors.
IEEE Trans. Comput. Soc. Syst., April, 2024

Modeling question difficulty for unbiased cognitive diagnosis: A causal perspective.
Knowl. Based Syst., 2024

Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Urban Region Embedding via Multi-View Contrastive Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multivariate Time-Series Forecasting Model: Predictability Analysis and Empirical Study.
IEEE Trans. Big Data, December, 2023

Beyond the Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability.
IEEE Trans. Knowl. Data Eng., May, 2023

Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Hyper-clustering enhanced spatio-temporal deep learning for traffic and demand prediction in bike-sharing systems.
Inf. Sci., 2022

PR-LTTE: Link travel time estimation based on path recovery from large-scale incomplete trip data.
Inf. Sci., 2022

2021
Predicting Taxi and Uber Demand in Cities: Approaching the Limit of Predictability.
IEEE Trans. Knowl. Data Eng., 2021

The Levy Flight of Cities: Analyzing Social-Economical Trajectories with Auto-Embedding.
CoRR, 2021

2019
Hierarchical prediction based on two-level Gaussian mixture model clustering for bike-sharing system.
Knowl. Based Syst., 2019

DeepLoc: deep neural network-based telco localization.
Proceedings of the MobiQuitous 2019, 2019

Experimental Study of Multivariate Time Series Forecasting Models.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
GeoMatch: Efficient Large-Scale Map Matching on Apache Spark.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Urban Pulse: Capturing the Rhythm of Cities.
IEEE Trans. Vis. Comput. Graph., 2017

2016
Exploring What not to Clean in Urban Data: A Study Using New York City Taxi Trips.
IEEE Data Eng. Bull., 2016

Urban human mobility data mining: An overview.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Predicting taxi demand at high spatial resolution: Approaching the limit of predictability.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Towards Maximizing Timely Content Delivery in Delay Tolerant Networks.
IEEE Trans. Mob. Comput., 2015

Urban Mobility and Networking.
Proceedings of the 2015 on MobiSys PhD Forum, Florence, Italy, 2015

Automatic City Region Analysis for Urban Routing.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Explaining the Power-law Distribution of Human Mobility Through Transportation Modality Decomposition.
CoRR, 2014

2013
CoSense: a collaborative sensing platform for mobile devices.
Proceedings of the 11th ACM Conference on Embedded Network Sensor Systems, 2013

2012
Energy-aware keyword search on mobile phones.
Proceedings of the first edition of the MCC workshop on Mobile cloud computing, 2012

Maximizing timely content advertising in DTNs.
Proceedings of the 9th Annual IEEE Communications Society Conference on Sensor, 2012


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