Qiang Gao

Orcid: 0000-0002-9621-5414

Affiliations:
  • Southwestern University of Finance and Economics, School of Computing and Artificial Intelligence, Chengdu, China
  • University of Electronic Science and Technology of China, School of Information and Software Engineering, Chengdu, China (PhD 2020)


According to our database1, Qiang Gao authored at least 51 papers between 2017 and 2025.

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Bibliography

2025
Relational Stock Selection via Probabilistic State Space Learning.
IEEE Trans. Knowl. Data Eng., February, 2025

Enhancing text-centric fake news detection via external knowledge distillation from LLMs.
Neural Networks, 2025

Learning to discover anomalous spatiotemporal trajectory via Open-world State Space model.
Knowl. Based Syst., 2025

Extracting key insights from earnings call transcript via information-theoretic contrastive learning.
Inf. Process. Manag., 2025

Augmented graph information bottleneck with type-aware periodicity heterogeneity for explainable crime prediction.
Inf. Process. Manag., 2025

Progressive Dependency Representation Learning for Stock Ranking in Uncertain Risk Contrasting.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Hierarchical Active Learning With Label Proportions on Data Regions.
IEEE Trans. Knowl. Data Eng., December, 2024

Cross-Regional Fraud Detection via Continual Learning With Knowledge Transfer.
IEEE Trans. Knowl. Data Eng., December, 2024

Predicting Human Mobility via Self-Supervised Disentanglement Learning.
IEEE Trans. Knowl. Data Eng., May, 2024

Inferring Real Mobility in Presence of Fake Check-ins Data.
ACM Trans. Intell. Syst. Technol., February, 2024

Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion.
Neural Networks, 2024

Relational Fusion-based Stock Selection with Neural Recursive Ordinary Differential Equation Networks.
Inf. Fusion, 2024

Self-Explainable Next POI Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Enhancing Dependency Dynamics in Traffic Flow Forecasting via Graph Risk Bootstrap.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Spatial-Temporal Augmentation for Crime Prediction (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference.
IEEE Trans. Big Data, December, 2023

Efficient Architecture Search for Continual Learning.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Adversarial Human Trajectory Learning for Trip Recommendation.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Multi-granularity stock prediction with sequential three-way decisions.
Inf. Sci., April, 2023

Dual-grained human mobility learning for location-aware trip recommendation with spatial-temporal graph knowledge fusion.
Inf. Fusion, April, 2023

When Friendship Meets Sequential Human Check-ins: Inferring Social Circles with Variational Mobility.
Neurocomputing, 2023

CL-WSTC: Continual Learning for Weakly Supervised Text Classification on the Internet.
Proceedings of the ACM Web Conference 2023, 2023

Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Open Anomalous Trajectory Recognition via Probabilistic Metric Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Attention Localness in Shared Encoder-Decoder Model For Text Summarization.
Proceedings of the IEEE International Conference on Acoustics, 2023

Cross-Regional Fraud Detection via Continual Learning (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Self-supervised representation learning for trip recommendation.
Knowl. Based Syst., 2022

Contextual spatio-temporal graph representation learning for reinforced human mobility mining.
Inf. Sci., 2022

Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs.
CoRR, 2022

Forgetting Prevention for Cross-regional Fraud Detection with Heterogeneous Trade Graph.
CoRR, 2022

Recommendation via Collaborative Diffusion Generative Model.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Dynamic Manifold Learning for Land Deformation Forecasting.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Self-supervised human mobility learning for next location prediction and trajectory classification.
Knowl. Based Syst., 2021

Self-supervised Representation Learning for Trip Recommendation.
CoRR, 2021

2020
Efficient Architecture Search for Continual Learning.
CoRR, 2020

Adversarial Mobility Learning for Human Trajectory Classification.
IEEE Access, 2020

Adversity-based Social Circles Inference via Context-Aware Mobility.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Predicting Human Mobility via Variational Attention.
Proceedings of the World Wide Web Conference, 2019

DeepTrip: Adversarially Understanding Human Mobility for Trip Recommendation.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

2018
Trajectory-User Linking via Variational AutoEncoder.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Trajectory-based social circle inference.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2017
Identifying Human Mobility via Trajectory Embeddings.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Association Rules Mining with Quantum Computing and Quantum Storage.
Proceedings of the 3rd International Conference on Big Data Computing and Communications, 2017


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