Kaiqi Zhao

According to our database, Kaiqi Zhao authored at least 54 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Cover Trees Revisited: Exploiting Unused Distance and Direction Information.

Zhi-Jie Wang, Mengdie Nie, Kaiqi Zhao, Zhe Quan, Bin Yao

IEEE Trans. Knowl. Data Eng., November, 2023

Unsupervised Rumor Detection Based on Propagation Tree VAE.

Lanting Fang, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu, Tao Li

IEEE Trans. Knowl. Data Eng., October, 2023

LPV: A Log Parsing Framework Based on Vectorization.

Tong Xiao, Zhe Quan, Zhi-Jie Wang, Kaiqi Zhao, Xiangke Liao, Huang Huang, Yunfei Du, Kenli Li

IEEE Trans. Netw. Serv. Manag., September, 2023

H-Diffu: Hyperbolic Representations for Information Diffusion Prediction.

Shanshan Feng, Kaiqi Zhao, Lanting Fang, Kaiyu Feng, Wei Wei, Xutao Li, Ling Shao

IEEE Trans. Knowl. Data Eng., September, 2023

ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity.

Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Xuemeng Song, Shuo Shang, Panos Kalnis, Ling Shao

IEEE Trans. Knowl. Data Eng., September, 2023

A Knowledge-Enriched Ensemble Method for Word Embedding and Multi-Sense Embedding.

Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu

IEEE Trans. Knowl. Data Eng., June, 2023

Uniqueness Constraints for Object Stores.

Philipp Skavantzos, Uwe Leck, Kaiqi Zhao, Sebastian Link

ACM J. Data Inf. Qual., June, 2023

WISK: A Workload-aware Learned Index for Spatial Keyword Queries.

Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang

Proc. ACM Manag. Data, 2023

DAMR: Dynamic Adjacency Matrix Representation Learning for Multivariate Time Series Imputation.

Xiaobin Ren, Kaiqi Zhao, Patricia J. Riddle, Katerina Taskova, Qingyi Pan, Lianyan Li

Proc. ACM Manag. Data, 2023

CSG: Curriculum Representation Learning for Signed Graph.

Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Yifei Wang, Pengqian Han, Xianda Zheng, Qiqi Wang, Zijian Zhang

CoRR, 2023

SGA: A Graph Augmentation Method for Signed Graph Neural Networks.

Zeyu Zhang, Shuyan Wan, Sijie Wang, Xianda Zheng, Xinrui Zhang, Kaiqi Zhao, Jiamou Liu, Dong Hao

CoRR, 2023

RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks.

Zeyu Zhang, Jiamou Liu, Xianda Zheng, Yifei Wang, Pengqian Han, Yupan Wang, Kaiqi Zhao, Zijian Zhang

Proceedings of the ACM Web Conference 2023, 2023

Contrastive Learning for Signed Bipartite Graphs.

Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Song Yang, Xianda Zheng, Yifei Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Graph-Based Log Anomaly Detection via Adversarial Training.

Zhangyue He, Yanni Tang, Kaiqi Zhao, Jiamou Liu, Wu Chen

Proceedings of the Dependable Software Engineering. Theories, Tools, and Applications, 2023

LGLog: Semi-supervised Graph Representation Learning for Anomaly Detection based on System Logs.

Jialong Liu, Yanni Tang, Jiamou Liu, Kaiqi Zhao, Wu Chen

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability.

Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gillian Dobbie, Jörg Wicker

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

SupConFL: Fault Localization with Supervised Contrastive Learning.

Wei Chen, Wu Chen, Jiamou Liu, Kaiqi Zhao, Mingyue Zhang

Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

Towards Legal Judgment Summarization: A Structure-Enhanced Approach.

Qiqi Wang, Ruofan Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Xianda Zheng, Zeyu Zhang, Zijian Huang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Construction of a Novel Data Set for Pedestrian Tree Species Detection Using Google Street View Data.

Martin Ooi, David Arturo Soriano Valdez, Mitchell Rogers, Rachel Ababou, Kaiqi Zhao, Patrice Delmas

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2023

USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network.

Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, Jiamou Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

PGeoTopic: A Distributed Solution for Mining Geographical Topic Models.

Kaiqi Zhao, Gao Cong, Xiucheng Li

IEEE Trans. Knowl. Data Eng., 2022

GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation.

Song Yang, Jiamou Liu, Kaiqi Zhao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

An Anomaly Detection Framework for System Logs Based on Ensemble Learning.

Wenjing Xiong, Wu Chen, Jiamou Liu, Kaiqi Zhao

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

Interconnected Neural Linear Contextual Bandits with UCB Exploration.

Yang Chen, Miao Xie, Jiamou Liu, Kaiqi Zhao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

D2GCLF: Document-to-Graph Classifier for Legal Document Classification.

Qiqi Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Ruofan Wang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021

Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning.

Luke Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gill Dobbie, Jörg Wicker

CoRR, 2021

Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting.

Song Yang, Jiamou Liu, Kaiqi Zhao

Proceedings of the IEEE International Conference on Data Mining, 2021

Node2LV: Squared Lorentzian Representations for Node Proximity.

Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Fan Li, Shuo Shang

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Uniqueness Constraints on Property Graphs.

Philipp Skavantzos, Kaiqi Zhao, Sebastian Link

Proceedings of the Advanced Information Systems Engineering, 2021

2020

EdgeRec: Recommender System on Edge in Mobile Taobao.

Yu Gong, Ziwen Jiang, Kaiqi Zhao, Qingwen Liu, Wenwu Ou

CoRR, 2020

LPV: A Log Parser Based on Vectorization for Offline and Online Log Parsing.

Tong Xiao, Zhe Quan, Zhi-Jie Wang, Kaiqi Zhao, Xiangke Liao

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling.

Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction.

Xuan Lin, Kaiqi Zhao, Tong Xiao, Zhe Quan, Zhi-Jie Wang, Philip S. Yu

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

EdgeRec: Recommender System on Edge in Mobile Taobao.

Yu Gong, Ziwen Jiang, Yufei Feng, Binbin Hu, Kaiqi Zhao, Qingwen Liu, Wenwu Ou

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

A Novel Model for Imbalanced Data Classification.

Jian Yin, Chunjing Gan, Kaiqi Zhao, Xuan Lin, Zhe Quan, Zhi-Jie Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Exploring market competition over topics in spatio-temporal document collections.

Kaiqi Zhao, Gao Cong, Jin Yao Chin, Rong Wen

VLDB J., 2019

Knowledge-Enhanced Ensemble Learning for Word Embeddings.

Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu

Proceedings of the World Wide Web Conference, 2019

2018

Spatiotemporal Topic Detection from Social Media.

Kaiqi Zhao, Quan Yuan, Gao Cong

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Effective and efficient topic mining and exploration from geo-textual data

Kaiqi Zhao

PhD thesis, 2018

Efficient Similar Region Search with Deep Metric Learning.

Yiding Liu, Kaiqi Zhao, Gao Cong

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep Representation Learning for Trajectory Similarity Computation.

Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, Wei Wei

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

ANR: Aspect-based Neural Recommender.

Jin Yao Chin, Kaiqi Zhao, Shafiq R. Joty, Gao Cong

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Biclustering: An application of Dual Topic Models.

Daniel Rugeles, Kaiqi Zhao, Gao Cong, Manoranjan Dash, Shonali Krishnaswamy

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2016

Towards Personalized Maps: Mining User Preferences from Geo-textual Data.

Kaiqi Zhao, Yiding Liu, Quan Yuan, Lisi Chen, Zhida Chen, Gao Cong

Proc. VLDB Endow., 2016

A System for Region Search and Exploration.

Kaiyu Feng, Kaiqi Zhao, Yiding Liu, Gao Cong

Proc. VLDB Endow., 2016

Topic Exploration in Spatio-Temporal Document Collections.

Kaiqi Zhao, Lisi Chen, Gao Cong

Proceedings of the 2016 International Conference on Management of Data, 2016

Querying and mining geo-textual data for exploration: Challenges and opportunities.

Gao Cong, Kaiyu Feng, Kaiqi Zhao

Proceedings of the 32nd IEEE International Conference on Data Engineering Workshops, 2016

Annotating Points of Interest with Geo-tagged Tweets.

Kaiqi Zhao, Gao Cong, Aixin Sun

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Representing Verbs as Argument Concepts.

Yu Gong, Kaiqi Zhao, Kenny Qili Zhu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Who, Where, When, and What: A Nonparametric Bayesian Approach to Context-aware Recommendation and Search for Twitter Users.

Quan Yuan, Gao Cong, Kaiqi Zhao, Zongyang Ma, Aixin Sun

ACM Trans. Inf. Syst., 2015

SAR: A sentiment-aspect-region model for user preference analysis in geo-tagged reviews.

Kaiqi Zhao, Gao Cong, Quan Yuan, Kenny Q. Zhu

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014

Clustering Image Search Results by Entity Disambiguation.

Kaiqi Zhao, Zhiyuan Cai, Qingyu Sui, Enxun Wei, Kenny Q. Zhu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013

CISC: clustered image search by conceptualization.

Kaiqi Zhao, Enxun Wei, Qingyu Sui, Kenny Q. Zhu, Eric Lo

Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

Wikification via link co-occurrence.

Zhiyuan Cai, Kaiqi Zhao, Kenny Q. Zhu, Haixun Wang

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013