Chen, Huanhuan

22 publications

AISTATS 2025 Continuous Structure Constraint Integration for Robust Causal Discovery Lyuzhou Chen, Taiyu Ban, Derui Lyu, Yijia Sun, Kangtao Hu, Xiangyu Wang, Huanhuan Chen

ICML 2025 Differentiable Structure Learning with Ancestral Constraints Taiyu Ban, Changxin Rong, Xiangyu Wang, Lyuzhou Chen, Xin Wang, Derui Lyu, Qinrui Zhu, Huanhuan Chen

AAAI 2025 Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space Ao Chen, Xiren Zhou, Huanhuan Chen

IJCAI 2025 Enhancing Counterfactual Estimation: A Focus on Temporal Treatments Xin Wang, Shengfei Lyu, Kangyang Luo, Lishan Yang, Huanhuan Chen, Chunyan Miao

IJCAI 2025 Expanding the Category of Classifiers with LLM Supervision Derui Lyu, Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Xiren Zhou, Huanhuan Chen

IJCAI 2025 Fault Diagnosis in REDNet Model Space Xiren Zhou, Ziyu Tang, Shikang Liu, Ao Chen, Xiangyu Wang, Huanhuan Chen

NeurIPS 2025 Pattern-Guided Adaptive Prior for Structure Learning Lyuzhou Chen, Yijia Sun, Yanze Gao, Xiangyu Wang, Derui Lyu, Taiyu Ban, Xin Wang, Xiren Zhou, Huanhuan Chen

ICML 2025 Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification Shikang Liu, Chuyang Wei, Xiren Zhou, Huanhuan Chen

IJCAI 2025 Underground Diagnosis in 3D GPR Data by Learning in CuCoRes Model Space Xiren Zhou, Shikang Liu, Xinyu Yan, Xiangyu Wang, Huanhuan Chen

ICML 2025 Variational Counterfactual Intervention Planning to Achieve Target Outcomes Xin Wang, Shengfei Lyu, Chi Luo, Xiren Zhou, Huanhuan Chen

ICML 2024 A Dual-Module Framework for Counterfactual Estimation over Time Xin Wang, Shengfei Lyu, Lishan Yang, Yibing Zhan, Huanhuan Chen

AAAI 2024 Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification Liangwei Chen, Xiren Zhou, Huanhuan Chen

ACML 2024 Constructing a Knowledge-Guided Mental Health Chatbot with LLMs Xi Fan, Lishan Yang, Xiangyu Wang, Derui Lyu, Huanhuan Chen

NeurIPS 2024 Differentiable Structure Learning with Partial Orders Taiyu Ban, Lyuzhou Chen, Xiangyu Wang, Xin Wang, Derui Lyu, Huanhuan Chen

IJCAI 2024 Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data Xiren Zhou, Shikang Liu, Ao Chen, Huanhuan Chen

AAAI 2023 Practical Markov Boundary Learning Without Strong Assumptions Xingyu Wu, Bingbing Jiang, Tianhao Wu, Huanhuan Chen

NeurIPS 2022 Generalization Bounds for Estimating Causal Effects of Continuous Treatments Xin Wang, Shengfei Lyu, Xingyu Wu, Tianhao Wu, Huanhuan Chen

AAAI 2020 Multi-Label Causal Feature Selection Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao

AAAI 2019 Joint Semi-Supervised Feature Selection and Classification Through Bayesian Approach Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen

ECML-PKDD 2016 Sequential Data Classification in the Space of Liquid State Machines Yang Li, Junyuan Hong, Huanhuan Chen

IJCAI 2015 Model Metric Co-Learning for Time Series Classification Huanhuan Chen, Fengzhen Tang, Peter Tiño, Anthony G. Cohn, Xin Yao

IJCAI 2011 Buried Utility Pipeline Mapping Based on Multiple Spatial Data Sources: A Bayesian Data Fusion Approach Huanhuan Chen, Anthony G. Cohn