Haichao Zhang

I am a third-year Ph.D. candidate in Computer Engineering at Northeastern University, USA, where I am part of the SMILE Lab, fortunate to be advised by Professor Yun Raymond Fu (Member of the Academy of Europe; Fellow of NAI, AAAS, AAAI, IEEE, AIMBE, OSA, SPIE, IAPR, AAIA). My research focuses on generative models, including Visual Language Models, Video Generation, and Trajectory & Motion Synthesis/Prediction. I am particularly interested in bridging these areas to enhance efficient video understanding, AI-driven content creation and autonomous systems.

Prior to my Ph.D., I obtained my M.Sc. degree from Zhejiang University (ZJU). During my graduate studies, I was also a visiting student and remote intern at The Chinese University of Hong Kong (CUHK) and The University of California, San Diego (UCSD) for three months, where I explored various aspects of AI and machine learning research.

Beyond academia, I have industry experience in applied AI research. Most recently, I was an Applied Scientist Intern at Amazon AWS AI Lab, where I worked on video understanding and large language models. Previously, I was a research intern at Tencent (腾讯), focusing on generative models for images and videos.

I am actively seeking a research internship for 2025 and open to collaborations. If you are interested in working together, feel free to reach out!

Email Me   /  Twitter  /  LinkedIn   /  GitHub   /  CV  

2024.05: I joined Amazon AWS AI Labs as an Applied Scientist Intern this summer.

2024.02: Our paper "Out-of-Sight Trajectory Prediction" has been accepted at CVPR.

2023.09: I received the ACM SIGMM travel award.

2023.08: Our paper "Layout Sequence Prediction From Noisy Mobile Modality" has been accepted at ACM MM.

2022.09: I joined SMILE Lab at Northeastern University.

SMILE Lab, Northeastern University, Boston
Graduate Student, Sep. 2022 ~ Now
Supervisor: Prof. Yun Raymond Fu

Amazon AWS AI Lab, Bellevue, WA
Applied Scientist Intern, Jun. 2024 ~ Aug. 2024

Toyota InfoTech Lab, Mountain View, CA
Part-time Research Intern, Feb. 2023 ~ Nov. 2023

Tencent, Shanghai, China
Research Scientist Intern, Nov. 2020 ~ May. 2021

University of California, San Diego
Summer Intern, May. 2021 ~ Sep. 2021
Supervisor: Prof. Xiaolong Wang

the Chinese University of Hong Kong, Shenzhen
Visiting Student, Feb. 2020 ~ May. 2020
Supervisor: Prof. Xiaoguang Han

Zhejiang University, Hangzhou China
Master Student, Sep. 2018 ~ Mar. 2021
Supervisor: Prof. Zhe-Ming Lu

Tiangong University, Tianjin China
Undergraduate Student, Sep. 2014 ~ Jun. 2018

My research lies in Computer Vision and Artificial Intelligence. Aims to explore the potential of generative models for AIGC and Trajectory Prediction. I worked on Diffusion Models, AIGC, VLM, Video Synthesis/Editing, Image Editing, Multimodal Learning, Trajectory Prediction, NeRF, GANs.

Token Dynamics as Long Video Representation for Video Understanding
(ongoing with Amazon)

OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising
Haichao Zhang, Yi Xu, Hongsheng Lu,  Takayuki Shimizu, Yun Fu
(First work on out-of-sight trajectory prediction.)

IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR'24)
[arxiv] [project page] [code]

Layout Sequence Prediction From Noisy Mobile Modality
(See Beyond Vision: Denoising Diffusion Model for Layout Trajectory Prediction from Noisy Mobile Modality)
Haichao Zhang, Yi Xu, Hongsheng Lu,  Takayuki Shimizu, Yun Fu

31st ACM International Conference on Multimedia (ACM MM'23)
[arxiv][project page][video]

Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection
Haichao Zhang, Can Qin, Yu Yin, Yun Fu
preprint [arxiv]

Sketch Me A Video
Haichao Zhang, Gang Yu, Tao Chen, Guozhong Luo
preprint[arxiv]

Fine-grained Identity Preserving Landmark Synthesis for Face Reenactment
Haichao Zhang, Youcheng Ben, Weixi Zhang, Tao Chen, Gang Yu, Bin Fu
preprint[arxiv]

Several years ago, I delved into the fascinating world of sensor modalities and signal processing, sparking a keen interest in embedded platforms. That experience led me to explore further into artificial intelligence and computer vision.

Wheelchair Control System via analysis eye-blinking EMG and EEG

Provincial Grand Prize at the Challenge Cup Competition of Science Achievement in China
project video
Mar. 2017

Proposed to detect eye blink EMG noise mixed in EEG signal, which uses the intense eye blink signal to control the direction of wheelchairs, while analysis EEG to predict tension and relaxation degree to control the speed of the wheelchair.

An affordable solution for paralyzed patients to control their wheelchairs and move independently.

Low power abnormal ECG detection system based on MSP430

National First Prize at National Biomedical Engineering Innovative Design Competition
project video
Nov. 2016

Responsible for developing upper computer software which received and filtered signals in the spectral domain from the MSP430 PCB board and developing an algorithm to detect the abnormal ECG.

Sign language recognition system of wearable bending sensor gloves

First Prize at Mobile Application Innovation Contest of North China
Jul. 2016

Responsible for programming the embedding microprocessor to sample the analog signal of the bending sensor on the gloves, which is used to predict the sign language, and showing prediction results on the app.

Vision-based paper money and coin sorting machine

Summer 2015

Responsible for programming the embedding microprocessors to control the mechanical structure and developing upper machine software to detect the kind of paper money in traditional image processing method, then sort them.

Multimedia Information Hiding Technology of Unstructured Data

Alibaba-ZJU Joint Research Institute of Frontier Technologies Research Project
Summer 2018

Responsible for developing C++ software "Shared Memory Based Code Hiding Platform.

Particpated in video stream watermarking algorithm.