Patch-Based Deep Autoencoder for Point Cloud Geometry Compression. - Kang You; Pan Gao 001 (MMAsia, 2021)

Masked Modeling-based Audio Representation for ACM Multimedia 2022 Computational Paralinguistics ChallengE. - Kang You; Kele Xu; Boqing Zhu; Ming Feng; Dawei Feng; Bo Liu 014; Tian Gao; Bo Ding (ACM Multimedia, 2022)

IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression. - Kang You; Pan Gao 001; Qing Li (CoRR, 2022)

An Improved Seq-Deepfake Detection Method. - Zhenrong Deng; Kang You; Rui Yang; Xinru Hu; Yuren Chen (ICAI (1), 2023)

Raw Ultrasound-Based Phonetic Segments Classification Via Mask Modeling. - Kang You; Bo Liu 014; Kele Xu; Yunsheng Xiong; Qisheng Xu; Ming Feng; Tamás Gábor Csapó; Boqing Zhu (ICASSP, 2023)

A 3D Stackable 1T1C DRAM: Architecture, Process Integration and Circuit Simulation. - Meng Huang; Shufang Si; Zheng He; Ying Zhou; Sijia Li; Hong Wang; Jinying Liu; Dongsheng Xie; Mengmeng Yang; Kang You; Chris Choi; Yi Tang; et al. (IMW, 2023)

BKDSNN: Enhancing the Performance of Learning-Based Spiking Neural Networks Training with Blurred Knowledge Distillation. - Zekai Xu; Kang You; Qinghai Guo; Xiang Wang; Zhezhi He (ECCV (50), 2024)

Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion. - Jiahao Su; Kang You; Zekai Xu; Weizhi Xu 001; Zhezhi He (ICANN (10), 2024)

SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN. - Kang You; Zekai Xu; Chen Nie; Zhijie Deng; Qinghai Guo; Xiang Wang; Zhezhi He (ICML, 2024)

Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes. - Kang You; Kai Liu; Li Yu 004; Pan Gao 001; Dandan Ding (IJCAI, 2024)

Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression. - Kang You; Pan Gao 001; Zhan Ma (CoRR, 2024)

Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds. - Kai Liu; Kang You; Pan Gao 001 (CoRR, 2024)

Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds. - Kai Liu; Kang You; Pan Gao 001; Manoranjan Paul (CoRR, 2024)

Self-Supervised Learning-For Underwater Acoustic Signal Classification With Mixup. - Qisheng Xu; Jingfei Jiang; Kele Xu; Yong Dou; Caili Gao; Boqing Zhu; Kang You; Qian Zhu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Jackknife Model Averaging for Composite Quantile Regression. - Kang You; Miaomiao Wang; Guohua Zou (J. Syst. Sci. Complex., 2024)

Global Attention-Guided Dual-Domain Point Cloud Feature Learning for Classification and Segmentation. - Zihao Li; Pan Gao 001; Kang You; Chuan Yan; Manoranjan Paul (IEEE Trans. Artif. Intell., 2024)

RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds. - Kang You; Tong Chen 004; Dandan Ding; M. Salman Asif; Zhan Ma (CVPR, 2025)

VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network. - Kang You; Ziling Wei; Jing Yan; Boning Zhang; Qinghai Guo; Yaoyu Zhang; Zhezhi He (CVPR, 2025)

Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds. - Kai Liu; Kang You; Pan Gao 001; Manoranjan Paul (IEEE Trans. Artif. Intell., 2025)

Efficient LiDAR Reflectance Compression via Scanning Serialization. - Jiahao Zhu; Kang You; Dandan Ding; Zhan Ma (CoRR, 2025)

ConPCAC: Conditional Lossless Point Cloud Attribute Compression via Spatial Decomposition. - Junzhe Zhang; Tong Chen 004; Kang You; Dandan Ding; Zhan Ma (IEEE Trans. Circuits Syst. Video Technol., 2025)