Hao Du

Hao Du

Researcher · AI Infra Group

dh10@chinatelecom.cn

Institute of Artificial Intelligence, China Telecom (TeleAI)

I recently joined the AI Infra group at TeleAI, the Institute of Artificial Intelligence, China Telecom, as a Researcher. I focus on generative AI infrastructure, particularly systems for diffusion models and world models. Previously, I worked at Huawei 2012 Lab on inference optimization and in-network computing, and held research internships at Microsoft Research Asia, Momenta, and SenseTime.

I received my Ph.D. in Computer Science from City University of Hong Kong in 2025, advised by Prof. Jing Liao at City University of Hong Kong and Prof. Yan Xu at Beihang University. I earned my B.S. in Software Engineering from the University of Electronic Science and Technology of China in 2019.

My research focuses on efficient and scalable infrastructure for generative models, spanning language models, diffusion models, and world models. Building on my experience in sparse attention, KV-cache systems, and collective communication, I aim to bring model capabilities into practical systems with lower computational cost and latency. I am currently working on infrastructure acceleration for Telefuser; this project is ongoing.

News

  • I joined the AI Infra group at TeleAI as a Researcher, focusing on generative AI infrastructure.
  • Got married.
I welcome research and engineering collaborations on AI infrastructure, from language-model systems to diffusion-model and world-model infrastructure. If you are interested in efficient inference, distributed execution, or generative AI systems, please get in touch.

Experience

Sep 23, 2026 — Present

Researcher · AI Infra

Institute of Artificial Intelligence, China Telecom (TeleAI)

  • Generative AI infrastructure for diffusion models and world models.
  • Infrastructure acceleration for Telefuser (ongoing).

Nov 2025 — Sep 8, 2026

Huawei Technologies, 2012 Lab

Senior Research Engineer / Researcher

  • Designed sparse-granularity inference frameworks across vLLM and vLLM-Ascend for long-context workloads.
  • Worked on sparse attention, hierarchical KV-cache systems, sparse data access, and inference execution paths.

Jan 2025 — Oct 2025

Huawei Technologies, 2012 Lab

Research Intern

  • Designed collective communication operators for in-network computing, including AllReduce, RSAG, and AllToAll, achieving 30–50% speedups over NCCL in target scenarios.
  • Filed two first-author and three second-author patents and contributed to an NSDI submission.

Jan 2019 — Jan 2021

Microsoft Research Asia, Multimedia Search and Mining

Research Intern

  • Ranked first in the OxUvA long-term tracking evaluation with MSRA_MSM.
  • Designed long-term tracking algorithms and placed third in the VOT 2019 Long-Term challenge.
  • Co-authored the NeurIPS 2020 paper Cream of the Crop.

Oct 2018 — Jan 2019

Momenta, Infrastructure Department

Research Intern

  • Surveyed model compression and acceleration methods for deep learning systems.
  • Reproduced DropBlock in a Caffe-based training framework.

Jan 2018 — Jul 2018

SenseTime, Infrastructure Department

Research Intern

  • Reproduced Deep Gradient Compression for distributed deep learning.
  • Reproduced CoDistillation methods, later published at ICLR 2018.

Publications

Multimodal 3D medical image analysis

JBHI · 2025

Contrastive Feature Extraction and Shared-Unique Clustered Attention for Multimodal 3D Medical Image Analysis

Hao Du, Qihua Dong, Yan Xu, Jing Liao

A framework for incomplete-modality medical imaging based on contrastive feature extraction and shared-unique clustered attention.

TDFormer

JBHI · 2025

TDFormer: Top-Down Token Generation for 3D Medical Segmentation

Hao Du, Qihua Dong, Yan Xu, Jing Liao

Top-down token generation for 3D medical image segmentation.

Preserving tumor volumes

ICCV · 2023

Preserving Tumor Volumes for Unsupervised Medical Image Registration

Qihua Dong*, Hao Du*, Yan Xu, Jing Liao

Preserving tumor volume during the registration of 3D medical images without supervision.

Weakly-supervised segmentation

TMI · 2023

Weakly-Supervised 3D Medical Image Segmentation using Geometric Prior and Contrastive Similarity

Hao Du, Qihua Dong, Yan Xu, Jing Liao

Learning robust 3D segmentation from weak supervision using geometric priors and contrastive similarity.

Cyclic differentiable architecture search

TPAMI · 2022

Cyclic Differentiable Architecture Search

Hongyuan Yu, Houwen Peng, Yan Huang, Jianlong Fu, Hao Du, Liang Wang, Haibin Ling

A cyclic differentiable architecture search framework with joint optimization objectives.

Portrait lighting enhancement

CGF · 2021

Deep Portrait Lighting Enhancement with 3D Guidance

Fangzhou Han*, Can Wang*, Hao Du, Jing Liao

Cream of the Crop

NeurIPS · 2020

Cream of the Crop: Distilling Prioritized Paths for One-Shot Neural Architecture Search

Houwen Peng*, Hao Du*, Hongyuan Yu*, Qi Li, Jing Liao, Jianlong Fu

See my Google Scholar profile for the complete publication list.

Honors and Awards

Patents