Jie Qiao

Orcid: 0000-0002-4581-9656

According to our database1, Jie Qiao authored at least 38 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
THPs: Topological Hawkes Processes for Learning Causal Structure on Event Sequences.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy.
CoRR, 2024

Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning dynamic causal mechanisms from non-stationary data.
Appl. Intell., March, 2023

Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Some General Identification Results for Linear Latent Hierarchical Causal Structure.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Causal discovery from multi-domain data using the independence of modularities.
Neural Comput. Appl., 2022

CircleBase: an integrated resource and analysis platform for human eccDNAs.
Nucleic Acids Res., 2022

Dissecting Human Gonadal Cell Lineage Specification and Sex Determination Using A Single-cell RNA-seq Approach.
Genom. Proteom. Bioinform., 2022

On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach.
CoRR, 2022

REST: Debiased Social Recommendation via Reconstructing Exposure Strategies.
CoRR, 2022

Causal Alignment Based Fault Root Causes Localization for Wireless Network.
Proceedings of the IEEE International Conference on Acoustics, 2022

Identification of Linear Latent Variable Model with Arbitrary Distribution.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models.
ACM Trans. Intell. Syst. Technol., 2021

Learning causal structures using hidden compact representation.
Neurocomputing, 2021

Density matrix embedding theory of excited states for spin systems.
Comput. Phys. Commun., 2021

On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization.
CoRR, 2021

THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences.
CoRR, 2021

DevOmics: an integrated multi-omics database of human and mouse early embryo.
Briefings Bioinform., 2021

The Emotion of Texture Under Different Senses.
Proceedings of the Design Studies and Intelligence Engineering, 2021

2020
DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks.
IEEE Trans. Medical Imaging, 2020

FOM: Fourth-order moment based causal direction identification on the heteroscedastic data.
Neural Networks, 2020

scHaplotyper: haplotype construction and visualization for genetic diagnosis using single cell DNA sequencing data.
BMC Bioinform., 2020

Multi-Objective Topological Optimization of an Electric Truck Frame Based on Orthogonal Design and Analytic Hierarchy Process.
IEEE Access, 2020

2019
Disentanglement Challenge: From Regularization to Reconstruction.
CoRR, 2019

Causal Discovery with Cascade Nonlinear Additive Noise Models.
CoRR, 2019

DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Causal Discovery with Cascade Nonlinear Additive Noise Model.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Disentangled Semantic Representation for Domain Adaptation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex.
Nat., 2018

Causal Discovery from Discrete Data using Hidden Compact Representation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

SELF: Structural Equational Likelihood Framework for Causal Discovery.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2013
Bivariate Barycentric Rational Hermite Interpolaiton Based on the Lebesgue Constant Minimizing.
Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications, 2013

2010
Acoustic feedback cancellation based on weighted adaptive projection subgradient method in hearing aids.
Signal Process., 2010

2008
A new method of multichannel loudness compensation for hearing aids.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2008


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