Haotian Tang

Haotian Tang

Massachusetts Institute of Technology

H-index: 11

North America-United States

About Haotian Tang

Haotian Tang, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Computer Systems, Efficient Deep Learning, High Performance Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Longlora: Efficient fine-tuning of long-context large language models

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

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

Sparse Refinement for Efficient High-Resolution Semantic Segmentation

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

FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer

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

Haotian Tang Information

University

Position

___

Citations(all)

1789

Citations(since 2020)

1788

Cited By

144

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Haotian Tang Skills & Research Interests

Computer Systems

Efficient Deep Learning

High Performance Computing

Top articles of Haotian Tang

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

arXiv preprint arXiv:2306.00978

2023/6/1

Longlora: Efficient fine-tuning of long-context large language models

Internation Conference on Learning Representations (ICLR, oral presentation)

2024/1/16

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

World Scientific Annual Review of Artificial Intelligence

2023/12/28

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

2023/10/28

Sparse Refinement for Efficient High-Resolution Semantic Segmentation

2023/10/13

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

2023/3/30

FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

2023/1/20

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

2023/5/29

PVNAS: 3D neural architecture search with point-voxel convolution

IEEE Transactions on Pattern Analysis and Machine Intelligence

2021

TorchSparse: Efficient Point Cloud Inference Engine

Proceedings of Machine Learning and Systems (MLSys)

2022/4/22

Enable deep learning on mobile devices: Methods, systems, and applications

TODAES 2022

2022/3/4

Efficient Systems and Algorithms for Deep Learning on Point Clouds

2022

Haotian Tang
Haotian Tang

H-Index: 3

PointAcc: Efficient Point Cloud Accelerator

2021/10/18

Searching efficient 3d architectures with sparse point-voxel convolution

2020/7/31

See List of Professors in Haotian Tang University(Massachusetts Institute of Technology)