Multi-step Coding Structure of Spatial Audio Object Coding. - Chenhao Hu; Ruimin Hu; Xiaochen Wang 001; Tingzhao Wu; Dengshi Li (MMM (1), 2020)

Spatial Audio Object Coding Based on Time-Frequency Shifting and Scheduling. - Chenhao Hu; Ruimin Hu; Xiaochen Wang 001; Yulin Wu 003 (ICME, 2021)

Efficient Multi-Step Audio Object Coding with Limited Residual Information. - Chenhao Hu; Ruimin Hu; Xiaochen Wang 001; Yulin Wu 003; Wenke Liu (ICME, 2021)

Low Bitrates Audio Object Coding Using Convolutional Auto-Encoder and Densenet Mixture Model. - Yulin Wu 003; Ruimin Hu; Chenhao Hu; Shanfa Ke; Gang Li; Xiaochen Wang 001 (ICME, 2021)

Self-adaptive Graph Neural Networks for Personalized Sequential Recommendation. - Yansen Zhang; Chenhao Hu; Genan Dai; Weiyang Kong; Yubao Liu (ICONIP (2), 2021)

Stacked Sparse Autoencoder for Audio Object Coding. - Yulin Wu 003; Ruimin Hu; Xiaochen Wang 001; Chenhao Hu; Gang Li (MMM (1), 2021)

Audio object coding based on N-step residual compensating. - Chenhao Hu; Xiaochen Wang 001; Ruimin Hu; Yulin Wu 003 (Multim. Tools Appl., 2021)

Trajectory Association for Person Re-identification. - Dongyang Li; Ruimin Hu; Wenxin Huang; Dengshi Li; Xiaochen Wang 001; Chenhao Hu (Neural Process. Lett., 2021)

Learning to Infer User Implicit Preference in Conversational Recommendation. - Chenhao Hu; Shuhua Huang; Yansen Zhang; Yubao Liu (SIGIR, 2022)

Distortion Reduction via CAE and DenseNet Mixture Network for Low Bitrate Spatial Audio Object Coding. - Yulin Wu 003; Ruimin Hu; Xiaochen Wang 001; Chenhao Hu; Shanfa Ke (IEEE Multim., 2022)

High Parameter Frequency Resolution Encoding Scheme for Spatial Audio Objects Using Stacked Sparse Autoencoder. - Yulin Wu 003; Ruimin Hu; Xiaochen Wang 001; Chenhao Hu; Shanfa Ke (Neural Process. Lett., 2022)

Modeling User's Neutral Feedback in Conversational Recommendation. - Xizhe Li; Chenhao Hu; Weiyang Kong; Sen Zhang; Yubao Liu (ICONIP (4), 2023)

Disentangled Contrastive Learning for Knowledge-Aware Recommender System. - Shuhua Huang; Chenhao Hu; Weiyang Kong; Yubao Liu (ISWC, 2023)

Cognitive Wireless Networks: Research, Applications, and Testbed. - Kyle C. Watters; Nicholas W. Meyer; Shreya S. S. Challa; Gaurav Garre; Rohith V. Nibhanupudi; Grant Reidy; Arjun Agarwal; Nicholas Candello; Abhijat Chauhan; James DeOcampo; Eric Galluzzi; Vasisht L. Ganesh; et al. (WF-IoT, 2023)

DECNet: A Non-Contacting Dual-Modality Emotion Classification Network for Driver Health Monitoring. - Zhekang Dong; Chenhao Hu; Shiqi Zhou; Liyan Zhu; Junfan Wang; Yi Chen; Xudong Lv; Xiaoyue Ji (CVPR Workshops, 2024)

MDEmoNet: A Multimodal Driver Emotion Recognition Network for Smart Cockpit. - Chenhao Hu; Shenyu Gu; Mengjie Yang; Gang Han; Chun Sing Lai; Mingyu Gao 002; Zhexun Yang; Guojin Ma (ICCE, 2024)

A Dual-Pathway Driver Emotion Classification Network Using Multitask Learning Strategy: A Joint Verification. - Zhekang Dong; Chenhao Hu; Liyan Zhu; Xiaoyue Ji; Chun Sing Lai (IEEE Internet Things J., 2025)

A Semantic and Syntactic Enhanced Neuromorphic Computing System and Its Application in Consumer Sentiment Analysis. - Xiaoyue Ji; Liyan Zhu; Chenhao Hu; Yifeng Han; Donglian Qi (IEEE Trans. Consumer Electron., 2025)