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ORCIDKai Zhao 0011
Person information
- affiliation: Walmart AI, Bentonville, AR, USA
- affiliation (2017 - 2024): Georgia State University, Atlanta, GA, USA
- affiliation (2015 - 2017): New York University, NY, USA
- affiliation (PhD 2015): University of Helsinki, Finland
Other persons with the same name
- Kai Zhao — disambiguation page
- Kai Zhao 0001 — NEC Laboratories, Beijing, China
- Kai Zhao 0002 — Concordia University, Montreal, Canada
- Kai Zhao 0003 — Google Inc., New York, NY, USA (and 4 more)
- Kai Zhao 0004
![[0000-0003-0656-1901]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-0656-1901")
— Chongqing University, School of Automation, China - Kai Zhao 0005 — SanDisk, MA, USA (and 1 more)
- Kai Zhao 0006 — Shanghai Jiao Tong University, City Key Laboratory of Automobile Engineering of Shanghai, China
- Kai Zhao 0007 — Beijing Normal University, Beijing, China (and 1 more)
- Kai Zhao 0008 — Florida State University, FL, USA (and 2 more)
- Kai Zhao 0009 — Aalborg University, Denmark (and 1 more)
- Kai Zhao 0010 — Nanyang Technological University, School of Electronic and Electrical Engineering, Singapore
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Journal Articles
- 2025
[j13]Wenzhen Jia, Kai Zhao, Meng Chen, Yang Han, Xiang Li, Xuexiao Shao:
ST2SNet: Spatial-Temporal Two-Layer Synchronous Network for Traffic Flow Prediction. IEEE Trans. Comput. Soc. Syst. 12(5): 3279-3288 (2025)- 2024
- [j12]Xin Chen, Shaofei Feng, Min Yang, Kai Zhao, Ronghui Xu, Chaoran Cui, Meng Chen:
Modeling question difficulty for unbiased cognitive diagnosis: A causal perspective. Knowl. Based Syst. 294: 111750 (2024) - [j11]Wenzhen Jia, Kai Zhao, Shengjie Zhao:
The Hierarchical Clustering of Human Mobility Behaviors. IEEE Trans. Comput. Soc. Syst. 11(2): 1876-1887 (2024) - [j10]Tianao Sun, Kai Zhao, Meng Chen:
Human-AI Interaction: Human Behavior Routineness Shapes AI Performance. IEEE Trans. Knowl. Data Eng. 36(12): 8476-8487 (2024) - [j9]Wenzhen Jia, Shengjie Zhao, Kai Zhao:
Human Mobility Prediction Based on Trend Iteration of Spectral Clustering. IEEE Trans. Mob. Comput. 23(5): 4196-4211 (2024) - 2023
- [j8]Qinpei Zhao, Guangda Yang, Kai Zhao, Jiaming Yin, Weixiong Rao, Lei Chen:
Multivariate Time-Series Forecasting Model: Predictability Analysis and Empirical Study. IEEE Trans. Big Data 9(6): 1536-1548 (2023) - [j7]Chao Zhang, Kai Zhao, Meng Chen:
Beyond the Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability. IEEE Trans. Knowl. Data Eng. 35(5): 4514-4526 (2023) - 2022
- [j6]Tianao Sun, Kai Zhao, Chao Zhang, Meng Chen, Xiaohui Yu:
PR-LTTE: Link travel time estimation based on path recovery from large-scale incomplete trip data. Inf. Sci. 589: 34-45 (2022) - [j5]Shengjie Zhao, Kai Zhao, Yusen Xia, Wenzhen Jia:
Hyper-clustering enhanced spatio-temporal deep learning for traffic and demand prediction in bike-sharing systems. Inf. Sci. 612: 626-637 (2022) - 2021
- [j4]Kai Zhao, Denis Khryashchev, Huy T. Vo:
Predicting Taxi and Uber Demand in Cities: Approaching the Limit of Predictability. IEEE Trans. Knowl. Data Eng. 33(6): 2723-2736 (2021) - 2020
- [j3]Ayman Zeidan, Eemil Lagerspetz, Kai Zhao, Petteri Nurmi, Sasu Tarkoma, Huy T. Vo:
GeoMatch: Efficient Large-scale Map Matching on Apache Spark. Trans. Data Sci. 1(3): 21:1-21:30 (2020) - 2019
- [j2]Wenzhen Jia, Yanyan Tan, Li Liu, Jing Li, Huaxiang Zhang, Kai Zhao:
Hierarchical prediction based on two-level Gaussian mixture model clustering for bike-sharing system. Knowl. Based Syst. 178: 84-97 (2019) - 2015
- [j1]Weixiong Rao, Kai Zhao, Yan Zhang, Pan Hui, Sasu Tarkoma:
Towards Maximizing Timely Content Delivery in Delay Tolerant Networks. IEEE Trans. Mob. Comput. 14(4): 755-769 (2015)
Conference and Workshop Papers
- 2025
- [c19]Luyi Ma, Wanjia Zhang, Kai Zhao, Abhishek Kulkarni, Lalitesh Morishetti, Anjana Ganesh, Ashish Ranjan, Aashika Padmanabhan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization. RecSys 2025: 135-144 - [c18]Ramin Giahi, Kehui Yao, Sriram Kollipara, Kai Zhao, Vahid Mirjalili, Jianpeng Xu, Topojoy Biswas, Evren Körpeoglu, Kannan Achan:
VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings. RecSys 2025: 482-491 - 2024
- [c17]Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen:
Urban Region Embedding via Multi-View Contrastive Prediction. AAAI 2024: 8724-8732 - [c16]Hongwei Jia, Meng Chen, Weiming Huang, Kai Zhao, Yongshun Gong:
Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences. IJCAI 2024: 2090-2098 - [c15]Dabin Zhang, Meng Chen, Weiming Huang, Yongshun Gong, Kai Zhao:
Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names. IJCAI 2024: 2533-2541 - [c14]Tianao Sun, Ke Fu, Weiming Huang, Kai Zhao, Yongshun Gong, Meng Chen:
Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity. KDD 2024: 2784-2793 - 2023
- [c13]Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. CIKM 2023: 2534-2543 - [c12]Yougang Lyu, Jitai Hao, Zihan Wang, Kai Zhao, Shen Gao, Pengjie Ren, Zhumin Chen, Fang Wang, Zhaochun Ren:
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning. EMNLP (Findings) 2023: 2198-2209 - [c11]Dabin Zhang, Ronghui Xu, Weiming Huang, Kai Zhao, Meng Chen:
Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information. IJCAI 2023: 2441-2449 - 2019
- [c10]Jiaming Yin, Weixiong Rao, Mingxuan Yuan, Jia Zeng, Kai Zhao, Chenxi Zhang, Jiangfeng Li, Qinpei Zhao:
Experimental Study of Multivariate Time Series Forecasting Models. CIKM 2019: 2833-2839 - [c9]Yige Zhang, Yu Xiao, Kai Zhao, Weixiong Rao:
DeepLoc: deep neural network-based telco localization. MobiQuitous 2019: 258-267 - 2018
- [c8]Ayman Zeidan, Eemil Lagerspetz, Kai Zhao, Petteri Nurmi, Sasu Tarkoma, Huy T. Vo:
GeoMatch: Efficient Large-Scale Map Matching on Apache Spark. IEEE BigData 2018: 384-391 - 2016
- [c7]Kai Zhao, Denis Khryashchev, Juliana Freire, Cláudio T. Silva, Huy T. Vo:
Predicting taxi demand at high spatial resolution: Approaching the limit of predictability. IEEE BigData 2016: 833-842 - [c6]Kai Zhao, Sasu Tarkoma, Siyuan Liu, Huy T. Vo:
Urban human mobility data mining: An overview. IEEE BigData 2016: 1911-1920 - 2015
- [c5]Kai Zhao, Mohan Prasath Chinnasamy, Sasu Tarkoma:
Automatic City Region Analysis for Urban Routing. ICDM Workshops 2015: 1136-1142 - [c4]Kai Zhao:
Urban Mobility and Networking. MobiSys PhDForum 2015: 17-18 - 2013
- [c3]Samuli Hemminki, Kai Zhao, Aaron Yi Ding, Martti Rannanjärvi, Sasu Tarkoma, Petteri Nurmi:
CoSense: a collaborative sensing platform for mobile devices. SenSys 2013: 34:1-34:2 - 2012
- [c2]Weixiong Rao, Kai Zhao, Yan Zhans, Pan Hui, Sasu Tarkoma:
Maximizing timely content advertising in DTNs. SECON 2012: 254-262 - [c1]Weixiong Rao, Kai Zhao, Eemil Lagerspetz, Pan Hui, Sasu Tarkoma:
Energy-aware keyword search on mobile phones. MCC@SIGCOMM 2012: 59-64
Informal and Other Publications
- 2025
- [i10]Jiao Chen, Kehui Yao, Reza Yousefi Maragheh, Kai Zhao, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
CARTS: Collaborative Agents for Recommendation Textual Summarization. CoRR abs/2506.17765 (2025) - [i9]Reza Yousefi Maragheh, Pratheek Vadla, Priyank Gupta, Kai Zhao, Aysenur Inan, Kehui Yao, Jianpeng Xu, Praveenkumar Kanumala, Jason H. D. Cho, Sushant Kumar:
ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation. CoRR abs/2506.21931 (2025) - [i8]Luyi Ma, Wanjia Zhang, Kai Zhao, Abhishek Kulkarni, Lalitesh Morishetti, Anjana Ganesh, Ashish Ranjan, Aashika Padmanabhan, Jianpeng Xu, Jason Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization. CoRR abs/2507.14758 (2025) - [i7]Shreeranjani Srirangamsridharan, Ali Abavisani, Reza Yousefi Maragheh, Ramin Giahi, Kai Zhao, Jason H. D. Cho, Sushant Kumar:
MetaSynth: Multi-Agent Metadata Generation from Implicit Feedback in Black-Box Systems. CoRR abs/2510.01523 (2025) - 2023
- [i6]Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. CoRR abs/2305.10531 (2023) - [i5]Yougang Lyu, Jitai Hao, Zihan Wang, Kai Zhao, Shen Gao, Pengjie Ren, Zhumin Chen, Fang Wang, Zhaochun Ren:
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning. CoRR abs/2312.05762 (2023) - [i4]Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen:
Urban Region Embedding via Multi-View Contrastive Prediction. CoRR abs/2312.09681 (2023) - 2021
- [i3]Linfang Tian, Kai Zhao, Jiaming Yin, Huy Vo, Weixiong Rao:
The Levy Flight of Cities: Analyzing Social-Economical Trajectories with Auto-Embedding. CoRR abs/2112.14594 (2021) - 2016
- [i2]Kai Zhao, C. Mohan Prasath, Sasu Tarkoma:
Automatic City Region Analysis for Urban Routing. CoRR abs/1602.00994 (2016) - 2014
- [i1]Kai Zhao, Mirco Musolesi, Pan Hui, Weixiong Rao, Sasu Tarkoma:
Explaining the Power-law Distribution of Human Mobility Through Transportation Modality Decomposition. CoRR abs/1408.4910 (2014)
Coauthor Index
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last updated on 2025-11-14 22:41 CET by the dblp team
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