Tiled convolutional neural networks. - Quoc V. Le; Jiquan Ngiam; Zhenghao Chen; Daniel Jin hao Chia; Pang Wei Koh; Andrew Y. Ng (NIPS, 2010)

Learning Deep Energy Models. - Jiquan Ngiam; Zhenghao Chen; Pang Wei Koh; Andrew Y. Ng (ICML, 2011)

On Random Weights and Unsupervised Feature Learning. - Andrew M. Saxe; Pang Wei Koh; Zhenghao Chen; Maneesh Bhand; Bipin Suresh; Andrew Y. Ng (ICML, 2011)

Sparse Filtering. - Jiquan Ngiam; Pang Wei Koh; Zhenghao Chen; Sonia A. Bhaskar; Andrew Y. Ng (NIPS, 2011)

Tuned Models of Peer Assessment in MOOCs. - Chris Piech; Jonathan Huang; Zhenghao Chen; Chuong B. Do; Andrew Y. Ng; Daphne Koller (EDM, 2013)

A New Weight Adjusted Particle Swarm Optimization for Real-Time Multiple Object Tracking. - Guang Liu 002; Zhenghao Chen; Henry Wing Fung Yeung; Yuk Ying Chung; Wei-Chang Yeh 001 (ICONIP (2), 2016)

Real-time programming exercise feedback in MOOCs. - Zhenghao Chen; Andy Nguyen; Amory Schlender; Jiquan Ngiam (EDM, 2017)

Layer Removal for Transfer Learning with Deep Convolutional Neural Networks. - Weiming Zhi; Zhenghao Chen; Henry Wing Fung Yeung; Zhicheng Lu; Seid Miad Zandavi; Yuk Ying Chung (ICONIP (2), 2017)

Using Transfer Learning with Convolutional Neural Networks to Diagnose Breast Cancer from Histopathological Images. - Weiming Zhi; Henry Wing Fung Yeung; Zhenghao Chen; Seid Miad Zandavi; Zhicheng Lu; Yuk Ying Chung (ICONIP (4), 2017)

Neural net-based and safety-oriented visual analytics for time-spatial data. - Zhenghao Chen; Jianlong Zhou; Xiuying Wang; Jeremy Swanson; Fang Chen 001; Dagan Feng 001 (IJCNN, 2017)

Visual Analytics of Movement Pattern Based on Time-Spatial Data: A Neural Net Approach. - Zhenghao Chen; Jianlong Zhou; Xiuying Wang (CoRR, 2017)

Motion Artifact Reduction in Electrocardiogram Using Adaptive Filtering Based on Skin-Potential Variation Monitoring. - Shumei Dai; Dongyi Chen; Fan Xiong; Zhenghao Chen (BODYNETS, 2018)

The role of the consistency between objective and perceived environmental uncertainty in supply chain risk management. - Kangkang Yu; Jack Cadeaux; Nanfeng Luo; Cheng Qian; Zhenghao Chen (Ind. Manag. Data Syst., 2018)

Impedance Characteristics of the Skin-Electrode Interface of Dry Textile Electrodes for Wearable Electrocardiogram. - Fan Xiong; Dongyi Chen; Zhenghao Chen; Chen Jin; Shumei Dai (Advances in Body Area Networks I, 2019)

A Piezoelectric Heart Sound Sensor for Wearable Healthcare Monitoring Devices. - Zhenghao Chen; Dongyi Chen; Liuhui Xue; Liang Chen (BODYNETS, 2019)

Embeddings and Convolution, Is That the Best You can Do with Sentiment Features? - Ao Feng; Zhenghao Chen; Shuang Zhou 001; Xi Wu 004 (IJCNN, 2019)

Composition and decomposition of GANs. - Yeu-Chern Harn; Zhenghao Chen; Vladimir Jojic (CoRR, 2019)

Cancellation of motion artifacts in ambulatory ECG signals using TD-LMS adaptive filtering techniques. - Fan Xiong; Dongyi Chen; Zhenghao Chen; Shumei Dai (J. Vis. Commun. Image Represent., 2019)

Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition. - Ziyu Liu; Hongwen Zhang 001; Zhenghao Chen; Zhiyong Wang 001; Wanli Ouyang (CVPR, 2020)

Improving Deep Video Compression by Resolution-Adaptive Flow Coding. - Zhihao Hu; Zhenghao Chen; Dong Xu 001; Guo Lu; Wanli Ouyang; Shuhang Gu (ECCV (2), 2020)

Digging Into Pseudo Label: A Low-Budget Approach for Semi-Supervised Semantic Segmentation. - Zhenghao Chen; Rui Zhang 054; Gang Zhang 007; Zhenhuan Ma; Tao Lei (IEEE Access, 2020)

An integrated multi-objective optimization approach to determine the optimal feature processing sequence and cutting parameters for carbon emissions savings of CNC machining. - Changle Tian; Guanghui Zhou; Fengyi Lu; Zhenghao Chen; Liang Zou (Int. J. Comput. Integr. Manuf., 2020)

Modeling Multiplexed Images with Spatial-LDA Reveals Novel Tissue Microenvironments. - Zhenghao Chen; Ilya Soifer; Hugo Hilton; Leeat Keren; Vladimir Jojic (J. Comput. Biol., 2020)

Remote Sensing Image Scene Classification with Noisy Label Distillation. - Rui Zhang 054; Zhenghao Chen; Sanxing Zhang; Fei Song; Gang Zhang 007; Quancheng Zhou; Tao Lei (Remote. Sens., 2020)

Improving Facial Attribute Recognition by Group and Graph Learning. - Zhenghao Chen; Shuhang Gu; Feng Zhu 006; Jing Xu; Rui Zhao 001 (ICME, 2021)

LSVC: A Learning-based Stereo Video Compression Framework. - Zhenghao Chen; Guo Lu; Zhihao Hu; Shan Liu 001; Wei Jiang 001; Dong Xu 001 (CVPR, 2022)

Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation. - Ziming Wang; Xiaoliang Huo; Zhenghao Chen; Jing Zhang 017; Lu Sheng; Dong Xu 001 (ECCV (32), 2022)

Exploiting Intra-Slice and Inter-Slice Redundancy for Learning-Based Lossless Volumetric Image Compression. - Zhenghao Chen; Shuhang Gu; Guo Lu; Dong Xu 001 (IEEE Trans. Image Process., 2022)

The impact of Intellectual Property Rights Protection on Digital Industry Innovation. - Zhenghao Chen; Zuhai Tian (BDEIM, 2023)

Neural Vector Fields: Implicit Representation by Explicit Learning. - Xianghui Yang; Guosheng Lin; Zhenghao Chen; Luping Zhou (CVPR, 2023)

Neural Video Compression with Spatio-Temporal Cross-Covariance Transformers. - Zhenghao Chen; Lucas Relic; Roberto Azevedo; Yang Zhang 003; Markus Gross 001; Dong Xu 001; Luping Zhou; Christopher Schroers (ACM Multimedia, 2023)

ICMH-Net: Neural Image Compression Towards both Machine Vision and Human Vision. - Lei Liu; Zhihao Hu; Zhenghao Chen; Dong Xu 001 (ACM Multimedia, 2023)

An Edge-Based Aquaculture Monitoring System for Fish Behavior Detection. - Di Cao; Zhenghao Chen; Lechao Zhang; Yu Zhang; Jian Lu; Yanjing Lei (SMC, 2023)

Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization. - Xianghui Yang; Guosheng Lin; Zhenghao Chen; Luping Zhou (CoRR, 2023)

UFDA: Universal Federated Domain Adaptation with Practical Assumptions. - Xinhui Liu; Zhenghao Chen; Luping Zhou; Dong Xu 001; Wei Xi; Gairui Bai; Yihan Zhao; Jizhong Zhao (AAAI, 2024)

Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments. - Qianhui Zhao; Fang Liu 032; Li Zhang 029; Yang Liu 003; Zhen Yan; Zhenghao Chen; Yufei Zhou; Jing Jiang 005; Ge Li 001 (CoRR, 2024)

CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer. - Tao Han 002; Zhenghao Chen; Song Guo; Wanghan Xu; Lei Bai 001 (CoRR, 2024)

Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression. - Zhenghao Chen; Luping Zhou; Zhihao Hu; Dong Xu 001 (CoRR, 2024)

PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis. - Zicheng Wang; Zhenghao Chen; Yiming Wu 005; Zhen Zhao 001; Luping Zhou; Dong Xu 001 (CoRR, 2024)

Towards Point Cloud Compression for Machine Perception: A Simple and Strong Baseline by Learning the Octree Depth Level Predictor. - Lei Liu; Zhihao Hu; Zhenghao Chen (CoRR, 2024)

WEATHER-5K: A Large-scale Global Station Weather Dataset Towards Comprehensive Time-series Forecasting Benchmark. - Tao Han 002; Song Guo; Zhenghao Chen; Wanghan Xu; Lei Bai 001 (CoRR, 2024)