Haotian Tang

According to our database, Haotian Tang authored at least 51 papers between 2019 and 2026.

Collaborative distances:

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

2026

Lightweight element-wise product enhanced neural network for efficient arrhythmia detection on embedded devices.

Haotian Tang, Mingke Yan, Xidong Wu, Hongkai Lai, Yang Zhang, Hanyu Cui, Liping Xie

Comput. Methods Programs Biomed., 2026

MSCGN: Multiscale complementary gating network for time series classification.

Xidong Wu, Mingke Yan, Haotian Tang, Dongchen Wu, Liping Xie

Biomed. Signal Process. Control., 2026

2025

Hierarchical Brain Structure Modeling for Predicting Genotype of Glioma.

Haotian Tang, Jianwei Chen, Xinrui Tang, Yunjia Wu, Zhengyang Miao, Chao Li

CoRR, August, 2025

USAD: End-to-End Human Activity Recognition via Diffusion Model with Spatiotemporal Attention.

Hang Xiao, Ying Yu, Jiarui Li, Zhifan Yang, Haotian Tang, Hanyu Liu, Chao Li

CoRR, July, 2025

Process Optimization and Deployment for Sensor-Based Human Activity Recognition Based on Deep Learning.

Hanyu Liu, Ying Yu, Hang Xiao, Siyao Li, Xuze Li, Jiarui Li, Haotian Tang

CoRR, April, 2025

Redundant feature screening method for human activity recognition based on attention purification mechanism.

Hanyu Liu, Xiaoyang Li, Yixuan Jiang, Haotian Tang, Dongchen Wu, Yameng Guo

CoRR, March, 2025

CMD-HAR: Cross-Modal Disentanglement for Wearable Human Activity Recognition.

Hanyu Liu, Siyao Li, Ying Yu, Yixuan Jiang, Hang Xiao, Jingxi Long, Haotian Tang

CoRR, March, 2025

Width Optimization of Quantum Circuit Based on Reuse-Aimed Quantum Circuit Transformation.

Haotian Tang, Fei Ding, Xueyun Cheng, Shuxian Zhao, Zhijin Guan

Quantum Inf. Comput., 2025

Smart IoE-Integrated Traffic Control: Dynamic Multisemantic Graph Attention and Reinforcement Learning for Optimizing Urban Mobility.

Kuo-Kun Tseng, Zhengguang Yang, Haotian Tang, Chien-Ming Chen, Saru Kumari, M. Shamim Hossain

IEEE Internet Things J., 2025

Prediction Multiscale Cross-Level Fusion U-Net with Combined Wavelet Convolutions for Thyroid Nodule Segmentation.

Shengzhi Liu, Haotian Tang, Junhao Zhao, Rundong Liu, Sirui Zheng, Kaiyao Hou, Xiyu Zhang, Fuyong Liu, Chen Ding

Inf., 2025

LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention.

Shang Yang, Junxian Guo, Haotian Tang, Qinghao Hu, Guangxuan Xiao, Jiaming Tang, Yujun Lin, Zhijian Liu, Yao Lu, Song Han

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving.

Yujun Lin, Haotian Tang, Shang Yang, Zhekai Zhang, Guangxuan Xiao, Chuang Gan, Song Han

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers.

Enze Xie, Junsong Chen, Junyu Chen, Han Cai, Haotian Tang, Yujun Lin, Zhekai Zhang, Muyang Li, Ligeng Zhu, Yao Lu, Song Han

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads.

Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, Junxian Guo, Shang Yang, Haotian Tang, Yao Fu, Song Han

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation.

Yecheng Wu, Zhuoyang Zhang, Junyu Chen, Haotian Tang, Dacheng Li, Yunhao Fang, Ligeng Zhu, Enze Xie, Hongxu Yin, Li Yi, Song Han, Yao Lu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HART: Efficient Visual Generation with Hybrid Autoregressive Transformer.

Haotian Tang, Yecheng Wu, Shang Yang, Enze Xie, Junsong Chen, Junyu Chen, Zhuoyang Zhang, Han Cai, Yao Lu, Song Han

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LongVILA: Scaling Long-Context Visual Language Models for Long Videos.

Yukang Chen, Fuzhao Xue, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Yihui He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models.

Junyu Chen, Han Cai, Junsong Chen, Enze Xie, Shang Yang, Haotian Tang, Muyang Li, Song Han

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

NVILA: Efficient Frontier Visual Language Models.

Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Haotian Tang, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Jinyi Hu, Sifei Liu, Ranjay Krishna, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu

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

Comparison of 802.11ax and 802.11ac WLAN at 5 GHz with 160 MHz Channel Width.

Samad Salehi Kolahi, Haotian Tang, Maloni Tu'itupou

Proceedings of the 8th International Conference on Advanced Communication Technologies and Networking, 2025

Hierarchical Brain Structure Modeling for Predicting Genotype of Glioma.

Haotian Tang, Jianwei Chen, Xinrui Tang, Yunjia Wu, Zhengyang Miao, Chao Li

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2025

2024

AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration.

Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Guangxuan Xiao, Song Han

GetMobile Mob. Comput. Commun., December, 2024

FMCW Radar Human Action Recognition Based on Asymmetric Convolutional Residual Blocks.

Yuan Zhang, Haotian Tang, Ye Wu, Bolun Wang, Dalin Yang

Sensors, July, 2024

Algorithm-System-Hardware Co-Design for Efficient 3D Deep Learning.

Zhijian Liu, Haotian Tang, Yujun Lin, Song Han

World Sci. Annu. Rev. Artif. Intell., 2024

Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models.

Junyu Chen, Han Cai, Junsong Chen, Enze Xie, Shang Yang, Haotian Tang, Muyang Li, Yao Lu, Song Han

CoRR, 2024

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

Enze Xie, Junsong Chen, Junyu Chen, Han Cai, Haotian Tang, Yujun Lin, Zhekai Zhang, Muyang Li, Ligeng Zhu, Yao Lu, Song Han

CoRR, 2024

LongVILA: Scaling Long-Context Visual Language Models for Long Videos.

Fuzhao Xue, Yukang Chen, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Ethan He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han

CoRR, 2024

QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving.

Yujun Lin, Haotian Tang, Shang Yang, Zhekai Zhang, Guangxuan Xiao, Chuang Gan, Song Han

CoRR, 2024

AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration.

Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Wei-Ming Chen, Wei-Chen Wang, Guangxuan Xiao, Xingyu Dang, Chuang Gan, Song Han

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models.

Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, Jiaya Jia

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Sparse Refinement for Efficient High-Resolution Semantic Segmentation.

Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han

Proceedings of the Computer Vision - ECCV 2024, 2024

MoST: Multi-modality Scene Tokenization for Motion Prediction.

Norman Mu, Jingwei Ji, Zhenpei Yang, Nate Harada, Haotian Tang, Kan Chen, Charles R. Qi, Runzhou Ge, Kratarth Goel, Zoey Yang, Scott Ettinger, Rami Al-Rfou, Dragomir Anguelov, Yin Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Special Session: Estimation and Optimization of DNNs for Embedded Platforms.

Axel Jantsch, Song Han, Lin Meng, Oliver Bringmann, Haotian Tang, Shang Yang, Hengyi Li, Matthias Wess, Martin Lechner

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2024

2023

End-to-End Entity Detection with Proposer and Regressor.

Xueru Wen, Changjiang Zhou, Haotian Tang, Luguang Liang, Hong Qi, Yu Jiang

Neural Process. Lett., December, 2023

An Efficient Association Rule Mining-Based Spatial Keyword Index.

Lianyin Jia, Haotian Tang, Mengjuan Li, Bingxin Zhao, Shoulin Wei, Haihe Zhou

Int. J. Data Warehous. Min., January, 2023

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration.

Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Xingyu Dang, Song Han

CoRR, 2023

Global bounded classical solution for an attraction-repulsion chemotaxis system.

Haotian Tang, Jiashan Zheng, Kaiqiang Li

Appl. Math. Lett., 2023

TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation.

Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela L. Rus, Song Han

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

TorchSparse++: Efficient Point Cloud Engine.

Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer.

Zhijian Liu, Xinyu Yang, Haotian Tang, Shang Yang, Song Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer.

Xuanyao Chen, Zhijian Liu, Haotian Tang, Li Yi, Hang Zhao, Song Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications.

Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han

ACM Trans. Design Autom. Electr. Syst., 2022

PVNAS: 3D Neural Architecture Search With Point-Voxel Convolution.

Zhijian Liu, Haotian Tang, Shengyu Zhao, Kevin Shao, Song Han

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Type-supervised sequence labeling based on the heterogeneous star graph for named entity recognition.

Xueru Wen, Changjiang Zhou, Haotian Tang, Luguang Liang, Yu Jiang, Hong Qi

CoRR, 2022

TorchSparse: Efficient Point Cloud Inference Engine.

Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

2021

PointAcc: Efficient Point Cloud Accelerator.

Yujun Lin, Zhekai Zhang, Haotian Tang, Hanrui Wang, Song Han

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

SemAlign: Annotation-Free Camera-LiDAR Calibration with Semantic Alignment Loss.

Zhijian Liu, Haotian Tang, Sibo Zhu, Song Han

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution.

Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Point-Voxel CNN for Efficient 3D Deep Learning.

Zhijian Liu, Haotian Tang, Yujun Lin, Song Han

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Unsupervised Person Re-Identification With Iterative Self-Supervised Domain Adaptation.

Haotian Tang, Yiru Zhao, Hongtao Lu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019