Hantao Huang

Researcher, ByteDance Inc.

Joined

September 2024

Names

Hantao Huang (Preferred)

Huang Hantao

Emails

****@e.ntu.edu.sg (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

ByteDance Inc. (bytedance.com)

2019 – Present

PhD student

Nanyang Technological University (ntu.edu.sg)

2014 – 2018

Undergrad student

Nanyang Technological University (ntu.edu.sg)

2009 – 2013

Advisors, Relations & Conflicts

No relations added

Expertise

NLP

2018 – 2025

AI Chips

2018 – 2025

Publications

SQ-format: A Unified Sparse-Quantized Hardware-friendly Data Format for Large Language Models
Ruixuan Huang, Hao Zeng, Hantao Huang, Jinyuan Shi, Minghui Yu, Ian En-Hsu Yen, Shuai Wang
- Submitted to ICLR 2026
- Readers: Everyone
SALS: Sparse Attention in Latent Space for KV Cache Compression
Junlin Mu, Hantao Huang, Jihang Zhang, Minghui Yu, Tao Wang, Yidong Li
- NeurIPS 2025 poster
- Readers: Everyone
HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing
Huaijin Wu, Lianqiang Li, Hantao Huang, Tu Yi, Jihang Zhang, Minghui Yu, Junchi Yan
- ICLR 2025 Poster
- Readers: Everyone
APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Models
Ziyi Guan, Hantao Huang, Yupeng Su, Hong Huang, Ngai Wong, Hao Yu
- CoRR 2024
- Readers: Everyone
An Isotropic Shift-Pointwise Network for Crossbar-Efficient Neural Network Design
Ziyi Guan, Boyu Li, Yuan Ren, Muqun Niu, Hantao Huang, Graziano Chesi, Hao Yu, Ngai Wong
- DATE 2024
- Readers: Everyone
FMTT: Fused Multi-Head Transformer with Tensor-Compression for 3D Point Clouds Detection on Edge Devices
Zikun Wei, Tingting Wang, Chenchen Ding, Bohan Wang, Ziyi Guan, Hantao Huang, Hao Yu
- DATE 2024
- Readers: Everyone
A 29.12 TOPS/W and 1.13 TOPS/mm2 NAS-Optimized Mixed-Precision DNN Accelerator with Vector Split- and-Combination Systolic in 28nm CMOS
Kai Li, Hantao Huang, Mingqiang Huang, Chenchen Ding, Longyang Lin, Liebing Ni, Hao Yu
- CICC 2024
- Readers: Everyone
Adaptive Speech Quality Aware Complex Neural Network for Acoustic Echo Cancellation with Supervised Contrastive Learning
Bozhong Liu, Xiaoxi Yu, Hantao Huang
- CoRR 2022
- Readers: Everyone
Learning to Compensate: A Deep Neural Network Framework for 5G Power Amplifier Compensation
Po-Yu Chen, Hao Chen, Yi-Min Tsai, Hsien-Kai Kuo, Hantao Huang, Hsin-Hung Chen, Sheng-Hong Yan, Wei-Lun Ou, Chia-Ming Cheng
- ICC 2021
- Readers: Everyone

View all 39 publications

Co-Authors

View all 73 co-authors