Quantifying the Performance Gain of Direction Feedback in a MISO System. - Shengli Zhou; Jinhong Wu; Zhengdao Wang; Milos Doroslovacki (CISS, 2006)

A Mean Convergence Analysis for Partial Update NLMS Algorithms. - Jinhong Wu; Milos Doroslovacki (CISS, 2007)

Turbo Decoding Complexity Reduction by Symbol Selection and Partial Iterations. - Jinhong Wu; Branimir R. Vojcic; Zhengdao Wang (GLOBECOM, 2007)

Partial update NLMS algorithm for sparse system identification with switching between coefficient-based and input-based selection. - Jinhong Wu; Milos Doroslovacki (CISS, 2008)

Cross-entropy based symbol selection and partial iterative decoding for serial concatenated convolutional codes. - Jinhong Wu; Branimir R. Vojcic; Zhengdao Wang (CISS, 2008)

Combining iterative SOVA and Log-MAP algorithms for turbo decoding. - Jinhong Wu; Branimir R. Vojcic (CISS, 2009)

Near-capacity performance soft output sphere decoding based on short list detection and metrics combining. - Jinhong Wu; Branimir R. Vojcic (CISS, 2009)

Partial iterative equalization and channel decoding. - Jinhong Wu; Branimir R. Vojcic (ICASSP, 2009)

Partial iterative decoding for binary turbo codes via cross-entropy based bit selection. - Jinhong Wu; Zhengdao Wang; Branimir R. Vojcic (IEEE Trans. Commun., 2009)

Transmitter optimization and performance gain for multiple-input single-output systems with finite-rate direction feedback. - Shengli Zhou; Zhengdao Wang; Jinhong Wu (IEEE Trans. Wirel. Commun., 2009)

An Ontology-Based Context Awareness Approach in Autonomous Mobile Learning. - Jinhong Wu (ICEE, 2010)

User clustering and energy efficient cooperation in cellular networks. - Jinhong Wu; Harry Z. B. Chen; Yong Liu; Liyu Cai (ACSCC, 2011)

Stopping criteria for iterative decoding based on mutual information. - Jinhong Wu; Branimir R. Vojcic; Jia Sheng (ACSCC, 2012)

Near-optimal turbo decoding in presence of SNR estimation error. - Mostafa El-Khamy; Jinhong Wu; Jungwon Lee; Heejin Roh; Inyup Kang (GLOBECOM, 2012)

BICM performance improvement via online LLR optimization. - Jinhong Wu; Mostafa El-Khamy; Jungwon Lee; Inyup Kang (WCNC, 2013)

LLR optimization for iterative MIMO BICM receivers. - Jinhong Wu; Mostafa El-Khamy; Jungwon Lee; Inyup Kang (ICASSP, 2014)

Online log-likelihood ratio scaling for robust turbo decoding. - Mostafa El-Khamy; Jinhong Wu; Jungwon Lee; Inyup Kang (IET Commun., 2014)

Research Hotspots and Trends in Swarm Intelligence: From 2000 to 2015. - Zili Li 005; Li Zeng; Hua Zhong; Jinhong Wu (ICSI (1), 2016)

Patent Text Classification Study Based on Bi-LSTM-A Model. - Jinhong Wu; Caiyun Huang; Yongyue Chen (CRC, 2020)

A two-stage adaptive multi-fidelity surrogate model-assisted multi-objective genetic algorithm for computationally expensive problems. - Qi Zhou 006; Jinhong Wu; Tao Xue; Peng Jin (Eng. Comput., 2021)

Analysis of the evolution of China's platform economy policy from the perspective of policy instruments. - Xueliang Yu; Jinhong Wu (WHICEB, 2022)

Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data. - Jinhong Wu; Konstantinos N. Plataniotis; Lucy Z. Liu; Ehsan Amjadian; Yuri A. Lawryshyn (Algorithms, 2023)

A deep learning-based multi-fidelity optimization method for the design of acoustic metasurface. - Jinhong Wu; Xingxing Feng; Xuan Cai; Xufeng Huang; Qi Zhou 006 (Eng. Comput., 2023)

A structurally re-parameterized convolution neural network-based method for gearbox fault diagnosis in edge computing scenarios. - Yanzhi Wang; Jinhong Wu; Ziyang Yu 003; Jiexiang Hu; Qi Zhou 006 (Eng. Appl. Artif. Intell., 2023)

Domain Adaptation-based Edge Computing for Cross-Conditions Fault Diagnosis. - Yanzhi Wang; Chu Wang; Jinhong Wu; Ziyang Yu 003; Qi Zhou 006 (CoRR, 2024)

Incremental learning with multi-fidelity information fusion for digital twin-driven bearing fault diagnosis. - Xufeng Huang; Tingli Xie; Shuyang Luo; Jinhong Wu; Rongmin Luo; Qi Zhou 006 (Eng. Appl. Artif. Intell., 2024)

Deep continuous convolutional networks for fault diagnosis. - Xufeng Huang; Tingli Xie; Jinhong Wu; Qi Zhou 006; Jiexiang Hu (Knowl. Based Syst., 2024)

Identification and causal analysis of predatory open access journals based on interpretable machine learning. - Jinhong Wu; Tianye Liu; Keliang Mu; Lei Zhou (Scientometrics, 2024)

Adaptive Knowledge Distillation-Based Lightweight Intelligent Fault Diagnosis Framework in IoT Edge Computing. - Yanzhi Wang; Ziyang Yu 003; Jinhong Wu; Chu Wang; Qi Zhou 006; Jiexiang Hu (IEEE Internet Things J., 2024)

Dynamic Gaussian Graph Operator: Learning parametric partial differential equations in arbitrary discrete mechanics problems. - Chu Wang; Jinhong Wu; Yanzhi Wang; Zhijian Zha; Qi Zhou 006 (Eng. Appl. Artif. Intell., 2025)

A Lightweight Reprogramming Framework for Cross-Device Fault Diagnosis in Edge Computing. - Yanzhi Wang; Jinhong Wu; Shuyang Luo; Ziyang Yu 001; Qi Zhou 006 (IEEE Trans. Instrum. Meas., 2025)

GRUDMU-DSCNN: An edge computing method for fault diagnosis with missing data. - Ziyang Yu 003; Yanzhi Wang; Xiaofeng Zong; Jinhong Wu; Qi Zhou 006 (Appl. Intell., 2025)

MPIPN: a multi physics-informed PointNet for solving parametric acoustic-structure systems. - Chu Wang; Jinhong Wu; Yanzhi Wang; Zhijian Zha; Qi Zhou 006 (Eng. Comput., 2025)