A dimensionality reduction method based on structured sparse representation for face recognition. - Guanghua Gu; Zhichao Hou; Chunxia Chen; Yao Zhao 001 (Artif. Intell. Rev., 2016)

Physical Parametric Model of an Automotive Electrohydraulic Semiactive Damper. - Wenlin Wang; Zhichao Hou (IEEE Trans. Veh. Technol., 2019)

Identification of key classification features of early cervical squamous cell carcinoma. - Xiaoxi Wang; Acheng Cao; Zhichao Hou; Xiaoqin Li; Bin Gao (Comput. Biol. Chem., 2021)

Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics. - Liming Wu; Zhichao Hou; Jirui Yuan; Yu Rong 001; Wenbing Huang 001 (NeurIPS, 2023)

Can Directed Graph Neural Networks be Adversarially Robust? - Zhichao Hou; Xitong Zhang; Wei Wang 010; Charu C. Aggarwal; Xiaorui Liu (CoRR, 2023)

PathExpSurv: pathway expansion for explainable survival analysis and disease gene discovery. - Zhichao Hou; Jiacheng Leng; Jiating Yu; Zheng Xia; Ling-Yun Wu (BMC Bioinform., 2023)

Automated Polynomial Filter Learning for Graph Neural Networks. - Wendi Yu; Zhichao Hou; Xiaorui Liu (IEEE Big Data, 2024)

Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier. - Zhichao Hou; Minhua Lin; MohamadAli Torkamani; Suhang Wang; Xiaorui Liu (DSAA, 2024)

Dynamics Modeling and Motion Control of 4IWMD/4WS Vehicles Based on Torque Coordination. - Zhihao Yu; Peibao Wu; Rongkang Luo; Zhichao Hou (ITSC, 2024)

Yaw rate and roll motion control of 4IWMD/4WS vehicle based on active rear steering and torque coordination. - Zhihao Yu; Rongkang Luo; Hui Ma; Zhichao Hou (IV, 2024)

Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing. - Weizhi Gao; Zhichao Hou; Han Xu; Xiaorui Liu (NeurIPS, 2024)

Robust Graph Neural Networks via Unbiased Aggregation. - Zhichao Hou; Ruiqi Feng; Tyler Derr; Xiaorui Liu (NeurIPS, 2024)

ProTransformer: Robustify Transformers via Plug-and-Play Paradigm. - Zhichao Hou; Weizhi Gao; Yuchen Shen; Feiyi Wang; Xiaorui Liu (NeurIPS, 2024)

Incorporating network diffusion and peak location information for better single-cell ATAC-seq data analysis. - Jiating Yu; Jiacheng Leng; Zhichao Hou; Duanchen Sun; Ling-Yun Wu (Briefings Bioinform., 2024)

HLogformer: A Hierarchical Transformer for Representing Log Data. - Zhichao Hou; Mina Ghashami; Mikhail Kuznetsov; MohamadAli Torkamani (CoRR, 2024)

Exploring the Potentials and Challenges of Using Large Language Models for the Analysis of Transcriptional Regulation of Long Non-coding RNAs. - Wei Wang; Zhichao Hou; Xiaorui Liu; Xinxia Peng (CoRR, 2024)

Post-hoc Interpretability Illumination for Scientific Interaction Discovery. - Ling Zhang; Zhichao Hou; Tingxiang Ji; Yuanyuan Xu; Runze Li (CoRR, 2024)

Robustness Reprogramming for Representation Learning. - Zhichao Hou; MohamadAli Torkamani; Hamid Krim; Xiaorui Liu (ICLR, 2025)

Boosting Adversarial Robustness and Generalization with Structural Prior. - Zhichao Hou; Weizhi Gao; Hamid Krim; Xiaorui Liu (CoRR, 2025)

Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization. - Weizhi Gao; Zhichao Hou; Junqi Yin; Feiyi Wang; Linyu Peng; Xiaorui Liu (CoRR, 2025)

WakenLLM: Evaluating Reasoning Potential and Stability in LLMs via Fine-Grained Benchmarking. - Zipeng Ling; Yuehao Tang; Shuliang Liu; Junqi Yang; Shenghong Fu; Chen Huang; Kejia Huang; Yao Wan 001; Zhichao Hou; Xuming Hu (CoRR, 2025)

Error Analysis Strategy for Long-Term Correlated Network Systems: Generalized Nonlinear Stochastic Processes and Dual-Layer Filtering Architecture. - Hongwei Zhao; Lilin Yan; Zhichao Hou; Jun Lin 005; Yanyan Zhao; Zikang Ji; Yuyi Wang 001 (IEEE Internet Things J., 2025)