Weiqing Liu
Orcid: 0000-0003-1951-2594
According to our database1,
Weiqing Liu
authored at least 49 papers
between 2011 and 2024.
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Bibliography
2024
CoRR, 2024
2023
Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle.
CoRR, 2023
CoRR, 2023
Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023
2022
Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information.
CoRR, 2021
CoRR, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Deep risk model: a deep learning solution for mining latent risk factors to improve covariance matrix estimation.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021
Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting.
CoRR, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
2019
Compressive Behavior of Composite Concrete Columns with Encased FRP Confined Concrete Cores.
Sensors, 2019
Commun. Nonlinear Sci. Numer. Simul., 2019
A Divide-and-Conquer Framework for Attention-based Combination of Multiple Investment Strategies.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
LDBAS: Location-aware Data Block Allocation Strategy for HDFS-based Applications in the Cloud.
KSII Trans. Internet Inf. Syst., 2018
IF-CNN: Image-Aware Inference Framework for CNN With the Collaboration of Mobile Devices and Cloud.
IEEE Access, 2018
Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
AppBooster: Boosting the Performance of Interactive Mobile Applications with Computation Offloading and Parameter Tuning.
IEEE Trans. Parallel Distributed Syst., 2017
An Approach to Automatic Performance Prediction for Cloud-Enhanced Mobile Applications with Sparse Data.
J. Comput. Sci. Technol., 2017
2016
MissingFound: An Assistant System for Finding Missing Companions via Mobile Crowdsourcing.
KSII Trans. Internet Inf. Syst., 2016
Location-Aware Data Block Allocation Strategy for HDFS-Based Applications in the Cloud.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016
2014
Commun. Nonlinear Sci. Numer. Simul., 2014
Improving Performance of Mobile Interactive Data-Streaming Applications with Multiple Cloudlets.
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014
2013
Effect of spatial distribution on the synchronization in rings of coupled oscillators.
Commun. Nonlinear Sci. Numer. Simul., 2013
2012
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012
2011
PerHPC: Design and Implement Personal High Performance Computing Platform Using Cloud Computing Technology.
Proceedings of the Sixth Chinagrid Annual Conference, ChinaGrid 2011, Dalian, Liaoning, 2011