Chaoqi Yang

Orcid: 0000-0002-5017-6114

According to our database1, Chaoqi Yang authored at least 38 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Decision Fusion SWT-RF Method for Rolling Bearing Enhanced Diagnosis Under Low-Quality Data.
IEEE Trans. Instrum. Meas., 2024

If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents.
CoRR, 2024

Topic-Oriented Open Relation Extraction with A Priori Seed Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus.
J. Am. Medical Informatics Assoc., December, 2023

BIOT: Cross-data Biosignal Learning in the Wild.
CoRR, 2023

BIOT: Biosignal Transformer for Cross-data Learning in the Wild.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PyHealth: A Deep Learning Toolkit for Healthcare Applications.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

ManyDG: Many-domain Generalization for Healthcare Applications.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Using Survival Theory in Early Pattern Detection for Viral Cascades.
IEEE Trans. Knowl. Data Eng., 2022

Multi-Objective Actor-Critics for Real-Time Bidding in Display Advertising.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

ATD: Augmenting CP Tensor Decomposition by Self Supervision.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SECT: A Successively Conditional Transformer for Controllable Paraphrase Generation.
Proceedings of the International Joint Conference on Neural Networks, 2022

KLAttack: Towards Adversarial Attack and Defense on Neural Dependency Parsing Models.
Proceedings of the International Joint Conference on Neural Networks, 2022

GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization.
Frontiers Big Data, 2021

Self-supervised EEG Representation Learning for Automatic Sleep Staging.
CoRR, 2021

Augmented Tensor Decomposition with Stochastic Optimization.
CoRR, 2021

SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations.
CoRR, 2021


Ranking User-Generated Content via Multi-Relational Graph Convolution.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

MTC: Multiresolution Tensor Completion from Partial and Coarse Observations.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Change Matters: Medication Change Prediction with Recurrent Residual Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Hypergraph Learning with Line Expansion.
CoRR, 2020

Quantifying Projected Impact of Social Distancing Policies on COVID-19 Outcomes in the US.
CoRR, 2020

The Paradox of Information Access: Growing Isolation in the Age of Sharing.
CoRR, 2020

Revisiting "Over-smoothing" in Deep GCNs.
CoRR, 2020

MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding.
CoRR, 2020

Disentangling Overlapping Beliefs by Structured Matrix Factorization.
CoRR, 2020

Misinformation Detection and Adversarial Attack Cost Analysis in Directional Social Networks.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

Hierarchical Overlapping Belief Estimation by Structured Matrix Factorization.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms.
CoRR, 2019

Reinforcement Learning with Sequential Information Clustering in Real-Time Bidding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
EPAB: Early Pattern Aware Bayesian Model for Social Content Popularity Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018

EPOC: A Survival Perspective Early Pattern Detection Model for Outbreak Cascades.
Proceedings of the Database and Expert Systems Applications, 2018

Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018


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