Thuc Duy Le
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
10
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Diffusion Models for Attribution. | Xiongren Chen, Jiuyong Li, Jixue Liu, Lin Liu, Stefan Peters, Thuc Duy Le, Wentao Gao, Xiaojing Du, Anthony Walsh |
| 2025 | AusDM | Causal Recommendation Method for Personalised Chemotherapy Optimisation in Breast Cancer. | Tuyen Vu, Thuc Duy Le, Ha Xuan Tran, Lin Liu, Jiuyong Li, Jia Tina Du |
| 2025 | ECAI | From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction. | Wentao Gao, Jiuyong Li, Lin Liu, Thuc Duy Le, Xiongren Chen, Xiaojing Du, Jixue Liu, Yanchang Zhao, Yun Chen |
| 2025 | IJCAI | Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction. | Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yun Chen, Yanchang Zhao |
| 2024 | AAAI | Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. | Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le |
| 2024 | ICLR | Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. | Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le |
| 2023 | AAAI | Causal Inference with Conditional Instruments Using Deep Generative Models. | Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le |
| 2023 | KDD | The KDD'23 Workshop on Causal Discovery, Prediction and Decision (CDPD 2023). | Thuc Duy Le |
| 2023 | KDD | Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments. | Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Xiaomei Li, Jixue Liu, Tony Waters |
| 2022 | IJCAI | Ancestral Instrument Method for Causal Inference without Complete Knowledge. | Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu |
| 2022 | KDD | The KDD 2022 Workshop on Causal Discovery (CD2022). | Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu |
| 2022 | KDD | What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker? | Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters |
| 2022 | PAKDD | Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers. | Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters |
| 2021 | KDD | Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery. | Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash |
| 2021 | KDD | The KDD 2021 Workshop on Causal Discovery (CD2021). | Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash |
| 2021 | KDD | Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability. | Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters |
| 2020 | ADMA | Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data. | Junpeng Zhang, Thin Nguyen, Buu Minh Thanh Truong, Lin Liu, Jiuyong Li, Thuc Duy Le |
| 2020 | ECAI | Causal Query in Observational Data with Hidden Variables. | Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le |
| 2020 | ICONIP | MrPC: Causal Structure Learning in Distributed Systems. | Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, Svetha Venkatesh |
| 2020 | KDD | Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery. | Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvrinen |
| 2020 | PAKDD | LoPAD: A Local Prediction Approach to Anomaly Detection. | Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu |
| 2019 | KDD | Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery. | Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvrinen |
| 2018 | KDD | Preface: The 2018 ACM SIGKDD Workshop on Causal Discovery. | Thuc Duy Le, Kun Zhang, Emre Kiciman, Aapo Hyvrinen, Lin Liu |
| 2018 | PAKDD | ParallelPC: An R Package for Efficient Causal Exploration in Genomic Data. | Thuc Duy Le, Taosheng Xu, Lin Liu, Hu Shu, Tao Hoang, Jiuyong Li |
| 2013 | ICDM | Mining Causal Association Rules. | Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun |
| 2012 | ICDM | Discovery of Causal Rules Using Partial Association. | Zhou Jin, Jiuyong Li, Lin Liu, Thuc Duy Le, Bing-Yu Sun, Rujing Wang |