Electricity Theft Detection Using Deep Bidirectional Recurrent Neural Network. - Zhongtao Chen; De Meng; Yufan Zhang; Tinglin Xin; Ding Xiao (ICACT, 2020)

Mitigating Outliers for Bayesian Mixture of Factor Analyzers. - Zhongtao Chen; Lei Cheng 003 (SAM, 2020)

Towards Probabilistic Tensor Canonical Polyadic Decomposition 2.0: Automatic Tensor Rank Learning Using Generalized Hyperbolic Prior. - Lei Cheng 003; Zhongtao Chen; Qingjiang Shi; Yik-Chung Wu; Sergios Theodoridis (CoRR, 2020)

Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior. - Lei Cheng 003; Zhongtao Chen; Qingjiang Shi; Yik-Chung Wu; Sergios Theodoridis (IEEE Trans. Signal Process., 2022)

Enhanced Tensor Rank Learning in Bayesian PARAFAC2 for Noisy Irregular Tensor Data. - Zhongtao Chen; Lei Cheng 003; Yik-Chung Wu (EUSIPCO, 2023)

Mask-based Food Image Synthesis with Cross-Modal Recipe Embeddings. - Zhongtao Chen; Yuma Honbu; Keiji Yanai (MMAsia, 2023)

ClusTop: An unsupervised and integrated text clustering and topic extraction framework. - Zhongtao Chen; Chenghu Mi; Siwei Duo; Jingfei He; Yatong Zhou (CoRR, 2023)

Universal Sleep Decoder: Aligning awake and sleep neural representation across subjects. - Hui Zheng; Zhongtao Chen; Haiteng Wang; Jianyang Zhou 003; Lin Zheng; Yunzhe Liu 003 (CoRR, 2023)

Accelerating probabilistic tensor canonical polyadic decomposition with nonnegative factors: An inexact BCD Approach. - Zhongtao Chen; Lei Cheng 003; Yik-Chung Wu (Signal Process., 2023)

Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals. - Hui Zheng; Haiteng Wang; Wei-Bang Jiang; Zhongtao Chen; Li He; Pei-Yang Lin; Peng-Hu Wei; Guo-Guang Zhao; Yun-Zhe Liu (NeurIPS, 2024)

Speech Recognition Model Inspired on Large Language Model for Smart Grid Dispatching. - Qionglan Na; Yixi Yang; Dan Su; Xin Li 132; Yifei Wang; Zhongtao Chen (PEAI, 2024)

Channel Estimation for Rydberg Atomic Receivers. - Bokai Xu; Jiayi Zhang 001; Zhongtao Chen; Bingyang Cheng; Ziheng Liu; Yik-Chung Wu; Bo Ai 001 (CoRR, 2025)

Large-Scale Bayesian Tensor Reconstruction: An Approximate Message Passing Solution. - Bingyang Cheng; Zhongtao Chen; Yichen Jin; Hao Zhang 149; Chen Zhang; Edmud Y. Lam; Yik-Chung Wu (CoRR, 2025)