Liwei Deng

According to our database, Liwei Deng authored at least 33 papers between 2019 and 2024.

Collaborative distances:

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

2024

Coalition-based task assignment with priority-aware fairness in spatial crowdsourcing.

Yan Zhao, Kai Zheng, Ziwei Wang, Liwei Deng, Bin Yang, Torben Bach Pedersen, Christian S. Jensen, Xiaofang Zhou

VLDB J., January, 2024

Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective.

Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng

CoRR, 2024

MILLION: A General Multi-Objective Framework with Controllable Risk for Portfolio Management.

Liwei Deng, Tianfu Wang, Yan Zhao, Kai Zheng

CoRR, 2024

Efficient Data-aware Distance Comparison Operations for High-Dimensional Approximate Nearest Neighbor Search.

Liwei Deng, Penghao Chen, Ximu Zeng, Tianfu Wang, Yan Zhao, Kai Zheng

CoRR, 2024

Towards Constraint-aware Learning for Resource Allocation in NFV-enabled Networks.

Tianfu Wang, Long Yang, Chao Wang, Chuan Qin, Liwei Deng, Li Shen, Hui Xiong

CoRR, 2024

COMET: NFT Price Prediction with Wallet Profiling.

Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Parameterized Decision-Making with Multi-Modality Perception for Autonomous Driving.

Yuyang Xia, Shuncheng Liu, Quanlin Yu, Liwei Deng, You Zhang, Han Su, Kai Zheng

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Task Recommendation in Spatial Crowdsourcing: A Trade-Off Between Diversity and Coverage.

Liwei Deng, Yan Zhao, Yue Cui, Yuyang Xia, Jin Chen, Kai Zheng

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Learning to Hash for Trajectory Similarity Computation and Search.

Liwei Deng, Yan Zhao, Jin Chen, Shuncheng Liu, Yuyang Xia, Kai Zheng

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

AdaTaskRec: An Adaptive Task Recommendation Framework in Spatial Crowdsourcing.

Yan Zhao, Liwei Deng, Kai Zheng

ACM Trans. Inf. Syst., October, 2023

Parameterized Decision-making with Multi-modal Perception for Autonomous Driving.

Yuyang Xia, Shuncheng Liu, Quanlin Yu, Liwei Deng, You Zhang, Han Su, Kai Zheng

CoRR, 2023

S2TUL: A Semi-Supervised Framework for Trajectory-User Linking.

Liwei Deng, Hao Sun, Yan Zhao, Shuncheng Liu, Kai Zheng

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation.

Xuanhao Chen, Liwei Deng, Yan Zhao, Kai Zheng

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

SimiDTR: Deep Trajectory Recovery with Enhanced Trajectory Similarity.

Yupu Zhang, Liwei Deng, Yan Zhao, Jin Chen, Jiandong Xie, Kai Zheng

Proceedings of the Database Systems for Advanced Applications, 2023

Fusing Local and Global Mobility Patterns for Trajectory Recovery.

Liwei Deng, Yan Zhao, Hao Sun, Changjie Yang, Jiandong Xie, Kai Zheng

Proceedings of the Database Systems for Advanced Applications, 2023

History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling.

Hao Sun, Yang Li, Liwei Deng, Bowen Li, Binyuan Hui, Binhua Li, Yunshi Lan, Yan Zhang, Yongbin Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Efficient and Effective Similar Subtrajectory Search: A Spatial-aware Comprehension Approach.

Liwei Deng, Hao Sun, Rui Sun, Yan Zhao, Han Su

ACM Trans. Intell. Syst. Technol., 2022

A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis.

Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang, Tung Kieu, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, Christian S. Jensen

CoRR, 2022

Outlier Detection for Streaming Task Assignment in Crowdsourcing.

Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

CityCross: Transferring Attention-based Knowledge for Location-based Advertising Recommendation.

Dazhuo Qiu, Yihao Wang, Yan Zhao, Liwei Deng, Kai Zheng

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Efficient Join Order Selection Learning with Graph-based Representation.

Jin Chen, Guanyu Ye, Yan Zhao, Shuncheng Liu, Liwei Deng, Xu Chen, Rui Zhou, Kai Zheng

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Task Assignment with Federated Preference Learning in Spatial Crowdsourcing.

Jiaxin Liu, Liwei Deng, Hao Miao, Yan Zhao, Kai Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Efficient Trajectory Similarity Computation with Contrastive Learning.

Liwei Deng, Yan Zhao, Zidan Fu, Hao Sun, Shuncheng Liu, Kai Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic.

Shuncheng Liu, Xu Chen, Ziniu Wu, Liwei Deng, Han Su, Kai Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Community-based influence maximization in location-based social network.

Xuanhao Chen, Liwei Deng, Yan Zhao, Xiaofang Zhou, Kai Zheng

World Wide Web, 2021

METRO: A Generic Graph Neural Network Framework for Multivariate Time Series Forecasting.

Yue Cui, Kai Zheng, Dingshan Cui, Jiandong Xie, Liwei Deng, Feiteng Huang, Xiaofang Zhou

Proc. VLDB Endow., 2021

DAEMON: Unsupervised Anomaly Detection and Interpretation for Multivariate Time Series.

Xuanhao Chen, Liwei Deng, Feiteng Huang, Chengwei Zhang, Zongquan Zhang, Yan Zhao, Kai Zheng

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

Fair Representation Learning in Knowledge-aware Recommendation.

Bingke Xu, Yue Cui, Zipeng Sun, Liwei Deng, Kai Zheng

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Personalized Dynamic Knowledge-Aware Recommendation with Hybrid Explanations.

Hao Sun, Zijian Wu, Yue Cui, Liwei Deng, Yan Zhao, Kai Zheng

Proceedings of the Database Systems for Advanced Applications, 2021

HIFI: Anomaly Detection for Multivariate Time Series with High-order Feature Interactions.

Liwei Deng, Xuanhao Chen, Yan Zhao, Kai Zheng

Proceedings of the Database Systems for Advanced Applications, 2021

PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network.

Hao Sun, Changjie Yang, Liwei Deng, Fan Zhou, Feiteng Huang, Kai Zheng

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Subgraph Convolutional Network for Recommendation.

Yan Zhao, Lianming Zhou, Liwei Deng, Vincent W. Zheng, Hongzhi Yin, Kai Zheng

Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

2019

Hidden POI Ranking with Spatial Crowdsourcing.

Yue Cui, Liwei Deng, Yan Zhao, Bin Yao, Vincent W. Zheng, Kai Zheng

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019