2025
Testing Conditional Independence Between Latent Variables by Independence Residuals.
IEEE Trans. Neural Networks Learn. Syst., March, 2025
Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption.
CoRR, February, 2025
On the Role of Entropy-Based Loss for Learning Causal Structure With Continuous Optimization.
IEEE Trans. Neural Networks Learn. Syst., January, 2025
On the probability of necessity and sufficiency of explaining Graph Neural Networks: A lower bound optimization approach.
Neural Networks, 2025
2024
THPs: Topological Hawkes Processes for Learning Causal Structure on Event Sequences.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
GametesOmics: A Comprehensive Multi-omics Database for Exploring the Gametogenesis in Humans and Mice.
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Genom. Proteom. Bioinform., 2024
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy.
CoRR, 2024
On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Learning Discrete Latent Variable Structures with Tensor Rank Conditions.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 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
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.
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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.
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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