Kai Zheng

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 262

Top Venues

ICDE

IEEE Trans. Knowl. Data Eng.

CoRR

CIKM

Publications

Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen
A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. ICDE (2024)
Hao Miao, Xiaolong Zhong, Jiaxin Liu, Yan Zhao, Xiangyu Zhao, Weizhu Qian, Kai Zheng, Christian S. Jensen
Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Personalized Elastic Embedding Learning for On-Device Recommendation. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Yuyang Xia, Shuncheng Liu, Quanlin Yu, Liwei Deng, You Zhang, Han Su, Kai Zheng
Parameterized Decision-Making with Multi-Modality Perception for Autonomous Driving. ICDE (2024)
Yupu Zhang, Guanglin Cong, Jihan Qu, Ran Xu, Yuan Fu, Weiqi Li, Feiran Hu, Jing Liu, Wenliang Zhang, Kai Zheng
ESTELLE: An Efficient and Cost-effective Cloud Log Engine. SIGMOD Conference Companion (2024)
Yujia Hu, Yuntao Du, Zhikun Zhang, Ziquan Fang, Lu Chen, Kai Zheng, Yunjun Gao
Real-Time Trajectory Synthesis with Local Differential Privacy. CoRR (2024)
Weizhu Qian, Yan Zhao, Dalin Zhang, Bowei Chen, Kai Zheng, Xiaofang Zhou
Towards a Unified Understanding of Uncertainty Quantification in Traffic Flow Forecasting. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Kai Huang, Yue Cui, Qingqing Ye, Yan Zhao, Xi Zhao, Yao Tian, Kai Zheng, Haibo Hu, Xiaofang Zhou
TED$^+$+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Yan Zhao, Xuanlei Chen, Guanyu Ye, Fangda Guo, Kai Zheng, Xiaofang Zhou
Task Allocation in Spatial Crowdsourcing: An Efficient Geographic Partition Framework. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Liwei Deng, Yan Zhao, Jin Chen, Shuncheng Liu, Yuyang Xia, Kai Zheng
Learning to Hash for Trajectory Similarity Computation and Search. ICDE (2024)
Zibo Liang, Xu Chen, Yuyang Xia, Runfan Ye, Haitian Chen, Jiandong Xie, Kai Zheng
DACE: A Database-Agnostic Cost Estimator. ICDE (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. CoRR (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. SIGIR (2024)
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Kai Zheng
STWave$^+$+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li
LightTR: A Lightweight Framework for Federated Trajectory Recovery. CoRR (2024)
Shuncheng Liu, Xu Chen, Yan Zhao, Han Su, Xiaofang Zhou, Kai Zheng
Comfort-Aware Lane Change Planning With Exit Strategy for Autonomous Vehicle. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Wei Chen, Yuxuan Liang, Yuanshao Zhu, Yanchuan Chang, Kang Luo, Haomin Wen, Lei Li, Yanwei Yu, Qingsong Wen, Chao Chen, Kai Zheng, Yunjun Gao, Xiaofang Zhou, Yu Zheng
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond. CoRR (2024)
Yan Zhao, Kai Zheng, Ziwei Wang, Liwei Deng, Bin Yang, Torben Bach Pedersen, Christian S. Jensen, Xiaofang Zhou
Coalition-based task assignment with priority-aware fairness in spatial crowdsourcing. VLDB J. 33 (1) (2024)
Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. CoRR (2024)
Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Nguyen Quoc Viet Hung, Hongzhi Yin
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation. CoRR (2024)
Yuchen Fang, Jiandong Xie, Yan Zhao, Lu Chen, Yunjun Gao, Kai Zheng
Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection. ICDE (2024)
Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
Graph Condensation for Inductive Node Representation Learning. ICDE (2024)
Yujia Hu, Yuntao Du, Zhikun Zhang, Ziquan Fang, Lu Chen, Kai Zheng, Yunjun Gao
Real-Time Trajectory Synthesis with Local Differential Privacy. ICDE (2024)
Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li
LightTR: A Lightweight Framework for Federated Trajectory Recovery. ICDE (2024)
Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Quoc Viet Hung Nguyen, Hongzhi Yin
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation. WWW (2024)
Yuyang Xia, Shuncheng Liu, Quanlin Yu, Liwei Deng, You Zhang, Han Su, Kai Zheng
Parameterized Decision-making with Multi-modal Perception for Autonomous Driving. CoRR (2023)
Yupu Zhang, Liwei Deng, Yan Zhao, Jin Chen, Jiandong Xie, Kai Zheng
SimiDTR: Deep Trajectory Recovery with Enhanced Trajectory Similarity. DASFAA (1) (2023)
Liwei Deng, Yan Zhao, Hao Sun, Changjie Yang, Jiandong Xie, Kai Zheng
Fusing Local and Global Mobility Patterns for Trajectory Recovery. DASFAA (1) (2023)
Yuyang Xia, Shuncheng Liu, Rui Hu, Quanlin Yu, Xiushi Feng, Kai Zheng, Han Su
SMART: A Decision-Making Framework with Multi-modality Fusion for Autonomous Driving Based on Reinforcement Learning. DASFAA (4) (2023)
Yue Cui, Shuhao Li, Wenjin Deng, Zhaokun Zhang, Jing Zhao, Kai Zheng, Xiaofang Zhou
ROI-demand Traffic Prediction: A Pre-train, Query and Fine-tune Framework. ICDE (2023)
Xuanhao Chen, Liwei Deng, Yan Zhao, Kai Zheng
Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation. WSDM (2023)
Minrui Xu, Jiajie Xu, Rui Zhou, Jianxin Li, Kai Zheng, Pengpeng Zhao, Chengfei Liu
Empowering A* Algorithm With Neuralized Variational Heuristics for Fastest Route Recommendation. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. SIGIR (2023)
Pengfei Ding, Guanfeng Liu, Yan Wang, Kai Zheng, Xiaofang Zhou
A-MCTS: Adaptive Monte Carlo Tree Search for Temporal Path Discovery. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Yuan Fu, Shuncheng Liu, Yuyang Xia, Fangda Guo, Kai Zheng
Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving. CIKM (2023)
Yue Cui, Ma Chen, Kai Zheng, Lei Chen, Xiaofang Zhou
Controllable Universal Fair Representation Learning. WWW (2023)
Jing Long, Tong Chen, Nguyen Quoc Viet Hung, Guandong Xu, Kai Zheng, Hongzhi Yin
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. CoRR (2023)
Yan Zhao, Tinghao Lai, Ziwei Wang, Kaixuan Chen, Huan Li, Kai Zheng
Worker-Churn-Based Task Assignment With Context-LSTM in Spatial Crowdsourcing. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, Enhong Chen
Network Representation Lightening From Hashing to Quantization. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Xiushi Feng, Shuncheng Liu, Haitian Chen, Kai Zheng
Continual Trajectory Prediction with Uncertainty-Aware Generative Memory Replay. ICDM (2023)
Ximu Zeng, Quanlin Yu, Shuncheng Liu, Yuyang Xia, Han Su, Kai Zheng
Target-Oriented Maneuver Decision for Autonomous Vehicle: A Rule-Aided Reinforcement Learning Framework. CIKM (2023)
Yan Zhao, Jiaxin Liu, Yunchuan Li, Dalin Zhang, Christian S. Jensen, Kai Zheng
Preference-Aware Group Task Assignment in Spatial Crowdsourcing: Effectiveness and Efficiency. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Shuncheng Liu, Yuyang Xia, Xu Chen, Jiandong Xie, Han Su, Kai Zheng
Impact-aware Maneuver Decision with Enhanced Perception for Autonomous Vehicle. ICDE (2023)
Liwei Deng, Hao Sun, Yan Zhao, Shuncheng Liu, Kai Zheng
S2TUL: A Semi-Supervised Framework for Trajectory-User Linking. WSDM (2023)
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Personalized Elastic Embedding Learning for On-Device Recommendation. CoRR (2023)
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia W. Sadiq, Kai Zheng, Hongzhi Yin
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data. CoRR (2023)
Yunchuan Li, Ziwei Wang, Ruixin Yang, Yan Zhao, Rui Zhou, Kai Zheng
Learned Bloom Filter for Multi-key Membership Testing. DASFAA (1) (2023)
Xu Chen, Zhen Wang, Shuncheng Liu, Yaliang Li, Kai Zeng, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng
BASE: Bridging the Gap between Cost and Latency for Query Optimization. Proc. VLDB Endow. 16 (8) (2023)
Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
Continuous Input Embedding Size Search For Recommender Systems. SIGIR (2023)
Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Bin Wu, Xiangnan He, Yu Chen, Liqiang Nie, Kai Zheng, Yangdong Ye
Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract). ICDE (2023)
Wei Yuan, Shilong Yuan, Kai Zheng, Quoc Viet Hung Nguyen, Hongzhi Yin
Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures. CoRR (2023)
Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo, Kai Zheng
Batch-Mix Negative Sampling for Learning Recommendation Retrievers. CIKM (2023)
Bolong Zheng, Qi Hu, Lingfeng Ming, Jilin Hu, Lu Chen, Kai Zheng, Christian S. Jensen
SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply in Transportation. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Xiaolong Zhong, Hao Miao, Dazhuo Qiu, Yan Zhao, Kai Zheng
Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing. CIKM (2023)
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia W. Sadiq, Kai Zheng, Hongzhi Yin
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data. ICDM (2023)
Meng Chen, Yan Zhao, Yang Liu, Xiaohui Yu, Kai Zheng
Modeling Spatial Trajectories with Attribute Representation Learning (Extended Abstract). ICDE (2023)
Mubashir Imran, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Alexander Zhou, Kai Zheng
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences. ACM Trans. Inf. Syst. 41 (3) (2023)
Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
Graph Condensation for Inductive Node Representation Learning. CoRR (2023)
Haitian Chen, Ziwei Wang, Yunchuan Li, Ruixin Yang, Yan Zhao, Rui Zhou, Kai Zheng
Deep Learning-Based Bloom Filter for Efficient Multi-key Membership Testing. Data Sci. Eng. 8 (3) (2023)
Yan Zhao, Kai Zheng, Yunchuan Li, Jinfu Xia, Bin Yang, Torben Bach Pedersen, Rui Mao, Christian S. Jensen, Xiaofang Zhou
Profit Optimization in Spatial Crowdsourcing: Effectiveness and Efficiency. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Yan Zhao, Liwei Deng, Kai Zheng
AdaTaskRec: An Adaptive Task Recommendation Framework in Spatial Crowdsourcing. ACM Trans. Inf. Syst. 41 (4) (2023)
Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
Continuous Input Embedding Size Search For Recommender Systems. CoRR (2023)
Zibo Liang, Xu Chen, Yan Zhao, Jiandong Xie, Kai Zeng, Kai Zheng
Efficient Cardinality and Cost Estimation with Bidirectional Compressor-based Ensemble Learning. ICDM (2023)
Xu Chen, Haitian Chen, Zibo Liang, Shuncheng Liu, Jinghong Wang, Kai Zeng, Han Su, Kai Zheng
LEON: A New Framework for ML-Aided Query Optimization. Proc. VLDB Endow. 16 (9) (2023)
Jin Chen, Guanyu Ye, Yan Zhao, Shuncheng Liu, Liwei Deng, Xu Chen, Rui Zhou, Kai Zheng
Efficient Join Order Selection Learning with Graph-based Representation. KDD (2022)
Yuan Xu, Jiajie Xu, Jing Zhao, Kai Zheng, An Liu, Lei Zhao, Xiaofang Zhou
MetaPTP: An Adaptive Meta-optimized Model for Personalized Spatial Trajectory Prediction. KDD (2022)
Jin Chen, Defu Lian, Binbin Jin, Kai Zheng, Enhong Chen
Learning Recommenders for Implicit Feedback with Importance Resampling. WWW (2022)
Yuyang Xia, Shuncheng Liu, Xu Chen, Zhi Xu, Kai Zheng, Han Su
RISE: A Velocity Control Framework with Minimal Impacts based on Reinforcement Learning. CIKM (2022)
Liwei Deng, Yan Zhao, Zidan Fu, Hao Sun, Shuncheng Liu, Kai Zheng
Efficient Trajectory Similarity Computation with Contrastive Learning. CIKM (2022)
Jiandong Xie, Yue Cui, Feiteng Huang, Chao Liu, Kai Zheng
MARINA: An MLP-Attention Model for Multivariate Time-Series Analysis. CIKM (2022)
Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Xiangliang Zhang
Point-of-Interest Recommendation With Global and Local Context. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
Jiaxin Liu, Liwei Deng, Hao Miao, Yan Zhao, Kai Zheng
Task Assignment with Federated Preference Learning in Spatial Crowdsourcing. CIKM (2022)
Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang, Tung Kieu, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, Christian S. Jensen
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis. CoRR (2022)
Dazhuo Qiu, Yihao Wang, Yan Zhao, Liwei Deng, Kai Zheng
CityCross: Transferring Attention-based Knowledge for Location-based Advertising Recommendation. MDM (2022)
Yu Fan, Jiajie Xu, Rui Zhou, Jianxin Li, Kai Zheng, Lu Chen, Chengfei Liu
MetaER-TTE: An Adaptive Meta-learning Model for En Route Travel Time Estimation. IJCAI (2022)
Jin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zheng, Enhong Chen
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. WWW (2022)
Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng
A Pattern Discovery Approach to Multivariate Time Series Forecasting. CoRR (2022)
Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks. CoRR (2022)
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version. CoRR (2022)
Shuncheng Liu, Xu Chen, Yan Zhao, Jin Chen, Rui Zhou, Kai Zheng
Efficient Learning with Pseudo Labels for Query Cost Estimation. CIKM (2022)
Yue Cui, Hao Sun, Yan Zhao, Hongzhi Yin, Kai Zheng
Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach. ACM Trans. Inf. Syst. 40 (2) (2022)
Meng Chen, Yan Zhao, Yang Liu, Xiaohui Yu, Kai Zheng
Modeling Spatial Trajectories With Attribute Representation Learning. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Mubashir Imran, Hongzhi Yin, Tong Chen, Nguyen Quoc Viet Hung, Alexander Zhou, Kai Zheng
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences. CoRR (2022)
Yan Zhao, Kai Zheng, Hongzhi Yin, Guanfeng Liu, Junhua Fang, Xiaofang Zhou
Preference-Aware Task Assignment in Spatial Crowdsourcing: From Individuals to Groups. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)
Xuanhao Chen, Yan Zhao, Kai Zheng, Bin Yang, Christian S. Jensen
Influence-aware Task Assignment in Spatial Crowdsourcing (Technical Report). CoRR (2022)
Shuncheng Liu, Xu Chen, Ziniu Wu, Liwei Deng, Han Su, Kai Zheng
HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic. CIKM (2022)
Xuanhao Chen, Yan Zhao, Kai Zheng, Bin Yang, Christian S. Jensen
Influence-aware Task Assignment in Spatial Crowdsourcing. ICDE (2022)
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection. ICDE (2022)
Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou
Overcoming Data Sparsity in Group Recommendation. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)
Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation. ACM Trans. Inf. Syst. 40 (1) (2022)
Xuanhao Chen, Yan Zhao, Guanfeng Liu, Rui Sun, Xiaofang Zhou, Kai Zheng
Efficient Similarity-Aware Influence Maximization in Geo-Social Network. IEEE Trans. Knowl. Data Eng. 34 (10) (2022)
Bin Wu, Xiangnan He, Yun Chen, Liqiang Nie, Kai Zheng, Yangdong Ye
Modeling Product's Visual and Functional Characteristics for Recommender Systems. IEEE Trans. Knowl. Data Eng. 34 (3) (2022)
Kai Zheng, Yong Li, Cyrus Shahabi, Hongzhi Yin
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I. ACM Trans. Intell. Syst. Technol. 13 (1) (2022)
Defu Lian, Jin Chen, Kai Zheng, Enhong Chen, Xiaofang Zhou
Ranking-Based Implicit Regularization for One-Class Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Zidan Fu, Kai Zheng
Searching Similar Trajectories Based on Shape. Big Data (CCF) (2022)
Shuncheng Liu, Zhi Xu, Huimin Ren, Tianfu He, Boyang Han, Jie Bao, Kai Zheng, Yu Zheng
Detecting Loaded Trajectories for Hazardous Chemicals Transportation. ICDE (2022)
Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen
Outlier Detection for Streaming Task Assignment in Crowdsourcing. WWW (2022)
Kai Zheng, Yong Li, Cyrus Shahabi, Hongzhi Yin
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part II. ACM Trans. Intell. Syst. Technol. 13 (3) (2022)
Chen Zhu, Yue Cui, Yan Zhao, Kai Zheng
Task Assignment with Spatio-temporal Recommendation in Spatial Crowdsourcing. APWeb/WAIM (1) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kai Zheng