Kang You

According to our database, Kang You authored at least 26 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ELSA: An ELastic SNN Inference Architecture for Efficient Neuromorphic Computing.

Kang You, Chen Nie, Lee Jun Yan, Ziling Wei, Cheng Zou, Zekai Xu, Yu Feng, Honglan Jiang, Zhezhi He

CoRR, May, 2026

PACE: Post-Causal Entropy Modeling for Learned LiDAR Point Cloud Compression.

Jiahao Zhu, Kang You, Dandan Ding, Zhan Ma

CoRR, May, 2026

Determinism in the Undetermined: Deterministic Output in Charge-Conserving Continuous-Time Neuromorphic Systems with Temporal Stochasticity.

Jing Yan, Kang You, Zhezhi He, Yaoyu Zhang

CoRR, March, 2026

2025

ConPCAC: Conditional Lossless Point Cloud Attribute Compression via Spatial Decomposition.

Junzhe Zhang, Tong Chen, Kang You, Dandan Ding, Zhan Ma

IEEE Trans. Circuits Syst. Video Technol., July, 2025

Att²CPC: Attention-Guided Lossy Attribute Compression of Point Clouds.

Kai Liu, Kang You, Pan Gao, Manoranjan Paul

IEEE Trans. Artif. Intell., March, 2025

PolymorPIC: Embedding Polymorphic Processing-in-Cache in RISC-V based Processor for Full-stack Efficient AI Inference.

Cheng Zou, Ziling Wei, Jun Yan Lee, Chen Nie, Kang You, Zhezhi He

Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

Efficient LiDAR Reflectance Compression via Scanning Serialization.

Jiahao Zhu, Kang You, Dandan Ding, Zhan Ma

Proceedings of the Forty-second International Conference on Machine Learning, 2025

BiNeuroRAM: Energy-Efficient ReRAM-Based PIM for Accurate Bipolar Spiking Neural Network Acceleration.

Jun Yan Lee, Chen Nie, Kang You, Yueyang Jia, Rui Yang, Zhezhi He

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds.

Kang You, Tong Chen, Dandan Ding, M. Salman Asif, Zhan Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Global Attention-Guided Dual-Domain Point Cloud Feature Learning for Classification and Segmentation.

Zihao Li, Pan Gao, Kang You, Chuan Yan, Manoranjan Paul

IEEE Trans. Artif. Intell., October, 2024

Jackknife Model Averaging for Composite Quantile Regression.

Kang You, Miaomiao Wang, Guohua Zou

J. Syst. Sci. Complex., August, 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

Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds.

Kai Liu, Kang You, Pan Gao, Manoranjan Paul

CoRR, 2024

Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds.

Kai Liu, Kang You, Pan Gao

CoRR, 2024

Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression.

Kang You, Pan Gao, Zhan Ma

CoRR, 2024

Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes.

Kang You, Kai Liu, Li Yu, Pan Gao, Dandan Ding

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion.

Jiahao Su, Kang You, Zekai Xu, Weizhi Xu, Zhezhi He

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

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, Xiaojie Li, Shibing Qian, Xiaodong Yang, Long Hou, Weiping Bai, Zhongming Liu, Yanzhe Tang, Qiong Wu, Yanqin Wang, Tao Dou, Jake Kim, Guilei Wang, Jie Baisp, Adachi Takao, Chao Zhao, Abraham Yoo

Proceedings of the IEEE International Memory Workshop, 2023

Raw Ultrasound-Based Phonetic Segments Classification Via Mask Modeling.

Kang You, Bo Liu, Kele Xu, Yunsheng Xiong, Qisheng Xu, Ming Feng, Tamás Gábor Csapó, Boqing Zhu

Proceedings of the IEEE International Conference on Acoustics, 2023

An Improved Seq-Deepfake Detection Method.

Zhenrong Deng, Kang You, Rui Yang, Xinru Hu, Yuren Chen

Proceedings of the Applied Intelligence - First International Conference, 2023

2022

IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression.

Kang You, Pan Gao, Qing Li

CoRR, 2022

Masked Modeling-based Audio Representation for ACM Multimedia 2022 Computational Paralinguistics ChallengE.

Kang You, Kele Xu, Boqing Zhu, Ming Feng, Dawei Feng, Bo Liu, Tian Gao, Bo Ding

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Patch-Based Deep Autoencoder for Point Cloud Geometry Compression.

Kang You, Pan Gao

Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021