Anqi Liu

Orcid: 0000-0002-9432-4836

According to our database1, Anqi Liu authored at least 108 papers between 2014 and 2025.

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Bibliography

2025
EdgeStereoSR: A multi-task network with transformers for stereo image super-resolution considering edge prior.
Signal Process., 2025

2024
MS-YOLOv8-Based Object Detection Method for Pavement Diseases.
Sensors, July, 2024

Multi-Scale Visual Perception Based Progressive Feature Interaction Network for Stereo Image Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol., March, 2024

Bidirectional Feature Aggregation Network for Stereo Image Quality Assessment Considering Parallax Attention-Based Binocular Fusion.
IEEE Trans. Broadcast., March, 2024

CLCLSA: Cross-omics linked embedding with contrastive learning and self attention for integration with incomplete multi-omics data.
Comput. Biol. Medicine, March, 2024

Response of Vegetation Phenology to Climate Change on the Tibetan Plateau Considering Time-Lag and Cumulative Effects.
Remote. Sens., January, 2024

Coarse-to-Fine Cross-View Interaction Based Accurate Stereo Image Super-Resolution Network.
IEEE Trans. Multim., 2024

Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift.
Trans. Mach. Learn. Res., 2024

Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits.
Trans. Mach. Learn. Res., 2024

Cryptocurrency Price Bubble Detection Using Log-Periodic Power Law Model and Wavelet Analysis.
IEEE Trans. Engineering Management, 2024

Towards Human-Compatible Autonomous Car: A Study of Non-Verbal Turing Test in Automated Driving With Affective Transition Modelling.
IEEE Trans. Affect. Comput., 2024

Addressing the Binning Problem in Calibration Assessment through Scalar Annotations.
Trans. Assoc. Comput. Linguistics, 2024

Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making.
Proc. ACM Hum. Comput. Interact., 2024

A Learnable Color Correction Matrix for RAW Reconstruction.
CoRR, 2024

Core: Robust Factual Precision Scoring with Informative Sub-Claim Identification.
CoRR, 2024

SurgicAI: A Fine-grained Platform for Data Collection and Benchmarking in Surgical Policy Learning.
CoRR, 2024

A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds.
CoRR, 2024

Multi-scale variational autoencoder for imputation of missing values in untargeted metabolomics using whole-genome sequencing data.
Comput. Biol. Medicine, 2024

Clinical knowledge-guided deep reinforcement learning for sepsis antibiotic dosing recommendations.
Artif. Intell. Medicine, 2024

Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them).
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

ADOPD: A Large-Scale Document Page Decomposition Dataset.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Advancing Free-Breathing Cardiac Cine MRI: Retrospective Respiratory Motion Correction Via Kspace-and-Image Guided Diffusion Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Eighth Graders and a Math Intelligent Tutoring System: A Deep Neural Network Analysis.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

RORA: Robust Free-Text Rationale Evaluation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Social tie-driven coupling propagation of user awareness and information in Device-to-Device communications.
Comput. Networks, December, 2023

Cross-resolution feature attention network for image super-resolution.
Vis. Comput., September, 2023

Unsupervised registration for liver CT-MR images based on the multiscale integrated spatial-weight module and dual similarity guidance.
Comput. Medical Imaging Graph., September, 2023

Coarse-to-Fine Feedback Guidance Based Stereo Image Quality Assessment Considering Dominant Eye Fusion.
IEEE Trans. Multim., 2023

Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics.
CoRR, 2023

MegaWika: Millions of reports and their sources across 50 diverse languages.
CoRR, 2023

CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data.
CoRR, 2023

Density-Softmax: Scalable and Distance-Aware Uncertainty Estimation under Distribution Shifts.
CoRR, 2023

ImageNomer: developing an fMRI and omics visualization tool to detect racial bias in functional connectivity.
CoRR, 2023

Analysis of the Propagation Characteristics of Acoustic Waves From Leakages in Buried Gas Pipelines.
IEEE Access, 2023

MACAIF: Machine Learning Auditing for Clinical AI Fairness.
Proceedings of the First International Symposium on Trustworthy Autonomous Systems, 2023

Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Double-Weighting for Covariate Shift Adaptation.
Proceedings of the International Conference on Machine Learning, 2023

JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift.
Proceedings of the International Conference on Machine Learning, 2023

A Critical Analysis of Document Out-of-Distribution Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Efficient Approximate Predictive Inference Under Feedback Covariate Shift with Influence Functions.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Distributionally Robust Policy Gradient for Offline Contextual Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Guiding Dialogue Agents to Complex Semantic Targets by Dynamically Completing Knowledge Graph.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MTGP: Multi-turn Target-oriented Dialogue Guided by Generative Global Path with Flexible Turns.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Image super-resolution using progressive residual multi-dilated aggregation network.
Signal Image Video Process., 2022

Stereo image quality assessment considering the difference of statistical feature in early visual pathway.
J. Vis. Commun. Image Represent., 2022

Discovering Customer-Service Dialog System with Semi-Supervised Learning and Coarse-to-Fine Intent Detection.
CoRR, 2022

Hip Fracture Prediction using the First Principal Component Derived from FEA-Computed Fracture Loads.
CoRR, 2022

Repeated Environment Inference for Invariant Learning.
CoRR, 2022

JAWS: Predictive Inference Under Covariate Shift.
CoRR, 2022

Search-driven virus spreading on Social Internet of Things: A dynamical perspective.
Commun. Nonlinear Sci. Numer. Simul., 2022

JAWS: Auditing Predictive Uncertainty Under Covariate Shift.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Ambiguous Images With Human Judgments for Robust Visual Event Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Calibrating Zero-shot Cross-lingual (Un-)structured Predictions.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Multi-Gate Encoder for Joint Entity and Relation Extraction.
Proceedings of the Chinese Computational Linguistics - 21st China National Conference, 2022

Explicit Sparse Attention Network for Multimodal Named Entity Recognition.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, 2022

2021
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems.
IEEE Robotics Autom. Lett., 2021

Quality assessment of screen content images based on multi-stage dictionary learning.
J. Vis. Commun. Image Represent., 2021

Mapping the Accessibility of Medical Facilities of Wuhan during the COVID-19 Pandemic.
ISPRS Int. J. Geo Inf., 2021

Disentangling Observed Causal Effects from Latent Confounders using Method of Moments.
CoRR, 2021

Short Term Voltage Stability Assessment with Incomplete Data Based on Deep Reinforcement Learning in the Internet of Energy.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Dynamic Social Media Monitoring for Fast-Evolving Online Discussions.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Two-Way Guided Super-Resolution Reconstruction Network Based on Gradient Prior.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Quality Assessment of Screen Content Images Based on Convolutional Neural Network with Dual Pathways.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

A Simplified System Model for Optical Camera Communication.
Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

Image Super-Resolution Using Multi-Resolution Attention Network.
Proceedings of the IEEE International Conference on Acoustics, 2021

Active Learning under Label Shift.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Robust Fairness Under Covariate Shift.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
An Evolutionary Computation-Based Method for Nondestructive Tensile Force Measurements in Two Materials Using Hysteresis Loop.
IEEE Trans. Instrum. Meas., 2020

Exploring the Dynamical Behavior of Information Diffusion in D2D Communication Environment.
Secur. Commun. Networks, 2020

Data-Driven Temporal-Spatial Model for the Prediction of AQI in Nanjing.
J. Artif. Intell. Soft Comput. Res., 2020

School Commuting Mode Shift: A Scenario Analysis for Active School Commuting Using GIS and Online Map API.
ISPRS Int. J. Geo Inf., 2020

The Flow of Information in Trading: An Entropy Approach to Market Regimes.
Entropy, 2020

Distributionally Robust Learning for Unsupervised Domain Adaptation.
CoRR, 2020

Robust Regression for Safe Exploration in Control.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Lightweight Image Super-Resolution Reconstruction With Hierarchical Feature-Driven Network.
Proceedings of the IEEE International Conference on Image Processing, 2020

Multi-scale Attention Net for Retina Blood Vessel Segmentation.
Proceedings of the CSAI 2020: 2020 4th International Conference on Computer Science and Artificial Intelligence, 2020

2019
Triply Robust Off-Policy Evaluation.
CoRR, 2019

Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates.
CoRR, 2019

Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning.
CoRR, 2019

A Progressive Network Based on Residual Multi-scale Aggregation for Image Super-Resolution.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Active Learning for Probabilistic Structured Prediction of Cuts and Matchings.
Proceedings of the 36th International Conference on Machine Learning, 2019

Regularized Learning for Domain Adaptation under Label Shifts.
Proceedings of the 7th International Conference on Learning Representations, 2019

Fast and Lightweight Image Super-Resolution Based on Dense Residuals Two-Channel Network.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
An Agent-Based Approach to Interbank Market Lending Decisions and Risk Implications.
Inf., 2018

Consistent Robust Adversarial Prediction for General Multiclass Classification.
CoRR, 2018

Numerical simulation of gas-liquid two-phase flow in wellbore based on drift flux model.
Appl. Math. Comput., 2018

Modeling and Optimization of Image Mapper for Snapshot Image Mapping Spectrometer.
IEEE Access, 2018

G-MACO: A Multi-Objective Route Planning Algorithm on Green Wave Effect for Electric Vehicles.
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

Real-Time Traffic Prediction: A Novel Imputation Optimization Algorithm with Missing Data.
Proceedings of the IEEE Global Communications Conference, 2018

2017
Modelling and application for eclampsia with SimMom.
Int. J. Simul. Process. Model., 2017

Genetic programming optimization for a sentiment feedback strength based trading strategy.
Neurocomputing, 2017

Stock portfolio selection using learning-to-rank algorithms with news sentiment.
Neurocomputing, 2017

Kernel Robust Bias-Aware Prediction under Covariate Shift.
CoRR, 2017

Robust Covariate Shift Prediction with General Losses and Feature Views.
CoRR, 2017

2016
Opportunity cooperative embedded platform and control mechanism based on selectivity of time and frequency domain.
EURASIP J. Embed. Syst., 2016

Etude acoustique et représentation phonologique sur /ə˞/ suffixe rhotique en mandarin (Acoustic study and phonological representation of the rhotic suffix /ə˞/ in mandarin).
Proceedings of the Actes de la conférence conjointe JEP-TALN-RECITAL 2016. Volume 1 : JEP, 2016

Adversarial Multiclass Classification: A Risk Minimization Perspective.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Robust Covariate Shift Regression.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Robust Classification under Covariate Shift with Application to Active Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
An Extreme Firm-Specific News Sentiment Asymmetry Based Trading Strategy.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Context Retrieval for Web Tables.
Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015

Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Robust Classification Under Sample Selection Bias.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Twitter financial community modeling using agent based simulation.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014


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