| 2026 | AAAI | SVGL: Scale-Variable Graph Learning in Model Space for Multivariate Time Series Classification. | Shikang Liu, Ziyu Tang, Xiren Zhou, Huanhuan Chen |
| 2026 | AAAI | Counterfactual-Driven Zero-Shot Classifier Expansion. | Xiangyu Wang, Yanze Gao, Changxin Rong, Lyuzhou Chen, Derui Lyu, Xiren Zhou, Taiyu Ban, Huanhuan Chen |
| 2026 | AAAI | Fault Diagnosis of Irregular Sequences by Adjoint Learning in Continuous-Time Model Space. | Xiren Zhou, Chuyang Wei, Ao Chen, Shikang Liu, Xiangyu Wang, Huanhuan Chen |
| 2026 | ISKE | TDRC: A Trend-Detail Reservoir Computing Framework for Model-Space Fault Diagnosis. | Ziyu Tang, Ao Ding, Wei Wang, Xiren Zhou, Xiangyu Wang, Qiuju Chen, Yao Zhang, Huanhuan Chen |
| 2026 | NDSS | Learning from Leakage: Database Reconstruction from Just a Few Multidimensional Range Queries. | Peijie Li, Huanhuan Chen, Kaitai Liang, Evangelia Anna Markatou |
| 2025 | AAAI | Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space. | Ao Chen, Xiren Zhou, Huanhuan Chen |
| 2025 | AISTATS | Continuous Structure Constraint Integration for Robust Causal Discovery. | Lyuzhou Chen, Taiyu Ban, Derui Lyu, Yijia Sun, Kangtao Hu, Xiangyu Wang, Huanhuan Chen |
| 2025 | COLING | Generation-Augmented and Embedding Fusion in Document-Level Event Argument Extraction. | Xingjian Lin, Shengfei Lyu, Xin Wang, Qiuju Chen, Huanhuan Chen |
| 2025 | HCI | Report Friendly: An Interface Design for an LLM-Empowered ESG Report Generation System. | Xinjia Yu, Xin Zhou, Shengfei Lyu, Xiaoqiao Wang, Huanhuan Chen, Chunyan Miao |
| 2025 | ICANN | Characterizing Trainability, Expressivity and Generalization of Neural Architecture with Metrics from Neural Tangent Kernel. | Xinyu Chen, Jinlong Li, Faiza Amin, Huanhuan Chen |
| 2025 | ICASSP | Inside and Inside: Efficient Anomaly Detection by Fully Capturing the Detailed Dynamics. | Ziyu Tang, Xiren Zhou, Ao Chen, Shikang Liu, Chuyang Wei, Huanhuan Chen |
| 2025 | ICASSP | Learning in the Model Space: Fault Diagnosis by Co-objective Learning in DynInt Model Space. | Ziyu Tang, Xiren Zhou, Shikang Liu, Chuyang Wei, Ao Chen, Huanhuan Chen |
| 2025 | ICML | Variational Counterfactual Intervention Planning to Achieve Target Outcomes. | Xin Wang, Shengfei Lyu, Chi Luo, Xiren Zhou, Huanhuan Chen |
| 2025 | ICML | Differentiable Structure Learning with Ancestral Constraints. | Taiyu Ban, Changxin Rong, Xiangyu Wang, Lyuzhou Chen, Xin Wang, Derui Lyu, Qinrui Zhu, Huanhuan Chen |
| 2025 | ICML | Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification. | Shikang Liu, Chuyang Wei, Xiren Zhou, Huanhuan Chen |
| 2025 | IJCAI | Expanding the Category of Classifiers with LLM Supervision. | Derui Lyu, Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Xiren Zhou, Huanhuan Chen |
| 2025 | IJCAI | Enhancing Counterfactual Estimation: A Focus on Temporal Treatments. | Xin Wang, Shengfei Lyu, Kangyang Luo, Lishan Yang, Huanhuan Chen, Chunyan Miao |
| 2025 | IJCAI | Underground Diagnosis in 3D GPR Data by Learning in CuCoRes Model Space. | Xiren Zhou, Shikang Liu, Xinyu Yan, Xiangyu Wang, Huanhuan Chen |
| 2025 | IJCAI | Fault Diagnosis in REDNet Model Space. | Xiren Zhou, Ziyu Tang, Shikang Liu, Ao Chen, Xiangyu Wang, Huanhuan Chen |
| 2025 | SIGMETRICS | MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-preserving Byzantine-robust Clustering. | Rui Wang, Xingkai Wang, Huanhuan Chen, Jrmie Decouchant, Stjepan Picek, Nikolaos Laoutaris, Kaitai Liang |
| 2024 | AAAI | Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification. | Liangwei Chen, Xiren Zhou, Huanhuan Chen |
| 2024 | ACML | Constructing a Knowledge-Guided Mental Health Chatbot with LLMs. | Xi Fan, Lishan Yang, Xiangyu Wang, Derui Lyu, Huanhuan Chen |
| 2024 | COLING | Relation Classification via Bidirectional Prompt Learning with Data Augmentation by Large Language Model. | Yizhi Jiang, Jinlong Li, Huanhuan Chen |
| 2024 | ESORICS | Similar Data is Powerful: Enhancing Inference Attacks on SSE with Volume Leakages. | Bjrn Ho, Huanhuan Chen, Zeshun Shi, Kaitai Liang |
| 2024 | ESORICS | File-Injection Attacks on Searchable Encryption, Based on Binomial Structures. | Tjard Langhout, Huanhuan Chen, Kaitai Liang |
| 2024 | ICML | A Dual-module Framework for Counterfactual Estimation over Time. | Xin Wang, Shengfei Lyu, Lishan Yang, Yibing Zhan, Huanhuan Chen |
| 2024 | IJCAI | Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data. | Xiren Zhou, Shikang Liu, Ao Chen, Huanhuan Chen |
| 2024 | IJCNN | Multi-Model Consistency for LLMs' Evaluation. | Qinrui Zhu, Derui Lyu, Xi Fan, Xiangyu Wang, Qiang Tu, Yibin Zhan, Huanhuan Chen |
| 2024 | Interspeech | Enhancing Speech and Music Discrimination Through the Integration of Static and Dynamic Features. | Liangwei Chen, Xiren Zhou, Qiang Tu, Huanhuan Chen |
| 2023 | AAAI | Practical Markov Boundary Learning without Strong Assumptions. | Xingyu Wu, Bingbing Jiang, Tianhao Wu, Huanhuan Chen |
| 2023 | ASIACRYPT | CCA-1 Secure Updatable Encryption with Adaptive Security. | Huanhuan Chen, Yao Jiang Galteland, Kaitai Liang |
| 2022 | CIKM | Nonlinear Causal Discovery in Time Series. | Tianhao Wu, Xingyu Wu, Xin Wang, Shikang Liu, Huanhuan Chen |
| 2022 | ESORICS | No-Directional and Backward-Leak Uni-Directional Updatable Encryption Are Equivalent. | Huanhuan Chen, Shihui Fu, Kaitai Liang |
| 2022 | ESORICS | VAL: Volume and Access Pattern Leakage-Abuse Attack with Leaked Documents. | Steven Lambregts, Huanhuan Chen, Jianting Ning, Kaitai Liang |
| 2022 | ICPADS | An Improved Spray And Wait Algorithm Based on the Node Social Tree. | Jianqun Cui, Shuang Gong, Yanan Chang, Ziyi Chen, Huanhuan Chen, Yi Yang |
| 2021 | ACL | Relation Classification with Entity Type Restriction. | Shengfei Lyu, Huanhuan Chen |
| 2021 | CCS | Your Smart Contracts Are Not Secure: Investigating Arbitrageurs and Oracle Manipulators in Ethereum. | Kevin Tjiam, Rui Wang, Huanhuan Chen, Kaitai Liang |
| 2021 | CIKM | Grammatical Error Correction with Dependency Distance. | Haowen Lin, Jinlong Li, Xu Zhang, Huanhuan Chen |
| 2021 | GECCO | Analysis of evolutionary algorithms on fitness function with time-linkage property (hot-off-the-press track at GECCO 2021). | Weijie Zheng, Huanhuan Chen, Xin Yao |
| 2021 | GECCO | When non-elitism meets time-linkage problems. | Weijie Zheng, Qiaozhi Zhang, Huanhuan Chen, Xin Yao |
| 2021 | IJCNN | Multi-Label Local-to-Global Feature Selection. | Yan Zhong, Xingyu Wu, Bingbing Jiang, Huanhuan Chen |
| 2020 | AAAI | Multi-Label Causal Feature Selection. | Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao |
| 2020 | CIKM | Tolerant Markov Boundary Discovery for Feature Selection. | Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen |
| 2020 | IJCNN | BDANN: BERT-Based Domain Adaptation Neural Network for Multi-Modal Fake News Detection. | Tong Zhang, Di Wang, Huanhuan Chen, Zhiwei Zeng, Wei Guo, Chunyan Miao, Lizhen Cui |
| 2020 | WWW | Condition Aware and Revise Transformer for Question Answering. | Xinyan Zhao, Feng Xiao, Haoming Zhong, Jun Yao, Huanhuan Chen |
| 2019 | AAAI | Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach. | Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen |
| 2019 | KDD | Robust Task Grouping with Representative Tasks for Clustered Multi-Task Learning. | Yaqiang Yao, Jie Cao, Huanhuan Chen |
| 2018 | GECCO | Balancing exploration and exploitation in multiobjective evolutionary optimization. | Jianyong Sun, Hu Zhang, Qingfu Zhang, Huanhuan Chen |
| 2018 | KDD | Disturbance Grassmann Kernels for Subspace-Based Learning. | Junyuan Hong, Huanhuan Chen, Feng Lin |
| 2017 | ICONIP | An Effective Martin Kernel for Time Series Classification. | Liangang Zhang, Yang Li, Huanhuan Chen |
| 2016 | CIKM | Model-Based Oversampling for Imbalanced Sequence Classification. | Zhichen Gong, Huanhuan Chen |
| 2016 | NAACL | Improve Chinese Word Embeddings by Exploiting Internal Structure. | Jian Xu, Jiawei Liu, Liangang Zhang, Zhengyu Li, Huanhuan Chen |
| 2015 | IJCAI | Model Metric Co-Learning for Time Series Classification. | Huanhuan Chen, Fengzhen Tang, Peter Tio, Anthony G. Cohn, Xin Yao |
| 2014 | ESANN | Support Vector Ordinal Regression using Privileged Information. | Fengzhen Tang, Peter Tio, Pedro Antonio Gutirrez, Huanhuan Chen |
| 2014 | IJCNN | Learning the deterministically constructed Echo State Networks. | Fengzhen Tang, Peter Tio, Huanhuan Chen |
| 2013 | KDD | Model-based kernel for efficient time series analysis. | Huanhuan Chen, Fengzhen Tang, Peter Tio, Xin Yao |
| 2012 | HAIS | Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology. | Francisco Fernndez-Navarro, Huanhuan Chen, Pedro Antonio Gutirrez, Csar Hervs-Martnez, Xin Yao |
| 2012 | ICONIP | EEG Based Foot Movement Onset Detection with the Probabilistic Classification Vector Machine. | Raheleh Mohammadi, Ali Mahlooji Far, Huanhuan Chen, Damien Coyle |
| 2011 | IJCAI | Buried Utility Pipeline Mapping Based on Multiple Spatial Data Sources: A Bayesian Data Fusion Approach. | Huanhuan Chen, Anthony G. Cohn |
| 2010 | ECAI | Buried Utility Pipeline Mapping based on Street Survey and Ground Penetrating Radar. | Huanhuan Chen, Anthony G. Cohn |
| 2010 | IJCNN | Probabilistic robust hyperbola mixture model for interpreting ground penetrating radar data. | Huanhuan Chen, Anthony G. Cohn |
| 2010 | IJCNN | Negative correlation learning for classification ensembles. | Shuo Wang, Huanhuan Chen, Xin Yao |
| 2009 | ICANN | Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning. | Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao |
| 2007 | CEC | Evolutionary random neural ensembles based on negative correlation learning. | Huanhuan Chen, Xin Yao |
| 2006 | CEC | Evolutionary Multiobjective Ensemble Learning Based on Bayesian Feature Selection. | Huanhuan Chen, Xin Yao |
| 2006 | ICDM | A Probabilistic Ensemble Pruning Algorithm. | Huanhuan Chen, Peter Tio, Xin Yao |
| 2004 | CEC | HW-SW partitioning based on genetic algorithm. | Yi Zou, Zhenquan Zhuang, Huanhuan Chen |