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About me

I am a second-year PhD student in the Department of Computer Science at the ÉñÂí¸£ÀûӰƬ, supervised by Dr Yu GuanLink opens in a new window and partially funded by the Department.

Research and Interest

Now my research mainly focuses on human perception tasks based on wireless signals (WiFi, mmWave).

At the same time, I am also interested in various artificial intelligence tasks, such as quality analysis and aesthetic analysis of images and videos, the interpretability of deep learning models, and some AIGC technologies.

During my undergraduate studies, I worked on automatic repair of photo exposure and clarity status at ZTE in Nanjing and Xiaomi in Shanghai.

I always hope to design a unique processing solution based on the physical properties of the special research object, to achieve higher usability and lower complexity, and to realize the explainability of AI methods.

In my spare time, I like to read history.

Contact

Email:

Room: MB4.20

Education

• The ÉñÂí¸£ÀûӰƬ, Coventry, UK

PhD student, 3D Human Pose Estimation via mmWave Sensing (Oct 2024 - Now)

• Beijing University of Posts and Telecommunications, Beijing, China

BEng, Computer Science_ (Sep 2020 - Jun 2024)

Publication

[PAPER] Doppler Prompting for Stable mmWave-based Human Pose Estimation Preprocessing(accepted by ICML 2026)

Shuntian Zheng, Jiaqi Li, Xiaoman Lu, He Shuai, Yu Guan

[PAPER] Why Learn What Physics Already Knows? Realizing Agile mmWave-based Human Pose Estimation via Physics-Guided Preprocessing (accepted by ICME 2026)

Shuntian Zheng, Jiaqi Li, Minzhe Ni, Xiaoman Lu, Yu Guan

[PAPER] Person Parametric Physics-informed Representation for mmWave-based Human Pose Estimation (accepted by UbiComp/IMWUT 2026)

Shuntian Zheng, Jiaqi Li, Guangming Wang, Minzhe Ni, Arnad Palit, Giovanni Montana, Yu Guan

[PAPER] Keeping the Evidence Chain: Semantic Evidence Allocation for Training-Free Token Pruning in Video Temporal Grounding(accepted by ECCV 2026)

Jiaqi Li, Shuntian Zheng, Yixian Shen, Jia-Hong Huang, Xiaoman Lu, Minzhe Ni, Yu Guan

[PAPER] Towards Mitigating Modality Bias in Vision-Language Models for Temporal Action Localization (accepted by ACL 2026)

Jiaqi Li, Guangming Wang, Shuntian Zheng, Minzhe Ni, Xiaoman Lu, Guanghui Ye, Yu Guan

[PAPER] DA3Attacker: A Diffusion-based Attacker against Aesthetics-oriented Black-box Models (accepted by TIP 2025)

Shuai He, Shuntian Zheng, Anlong Ming, Yanni Wang, Huadong Ma

[PAPER] lEA: Pixel-level Image Exposure Assessment Using Zone Exposure Theory (accepted by NIPS 2024)

Shuai He, Shuntian Zheng, Anlong Ming, Banyu Wu, Huadong Ma

[PAPER] EAT: An Enhancer for Aesthetics-Oriented Transformers (accepted by ACM MM 2023 as oral)

Shuai He, Shuntian Zheng, Anlong Ming, Haobin Zhong, Huadong Ma

[PAPER] Delegate Transformer for Image Color Aesthetics Assessment (accepted by ICCV 2023)

Shuai He, Anlong Ming, Yaqi Li, Shuntian Zheng, Jinyuan Sun, Huadong Ma

[PAPER] Controlled Node Dialogue in IoT Networks Based on Nonlocal Orthogonal Product States (accepted by JOCN 2022 )

Bichen Che, Shuntian Zheng, Zhao Dou, Xiubo Chen, Lixiang Li, Jian Li, Yixian Yang

[STANDARD] Metadata for Image Aesthetics Assessment with Aesthetic Attributes in Mobile Terminal Computational Photography System (consented by the International Telecommunication Union)

[PATENT] Adversarial attack methods, devices, and storage media for image aesthetic evaluation models

Main Inventor

[PATENT] Image Aesthetic Evaluation Methods, Devices, Electronic Equipment, and Storage Media

Main Inventor

[PATENT] Decentralized Management Technology for University Scholarships Based on Digital Currency

Main Inventor

Visit

Fudan University, Shanghai, China (Apr 2026 – May 2026)

Visiting researcher at the Human Phenome Institute, hosted by Dr. Chen Chen. Focus on sleep stage detection task.

Competition