Biography

I am currently a Researcher in the BlueImage Lab at vivo Mobile Communication Co., Ltd (with Dr. Bo Li). Prior to my current role, I was a research intern at Tencent Youtu Lab, the BlueImage Lab at vivo, Tencent AMS and Midea AI Lab. I received the B.Eng. degree from Xidian University in Jun 2020, and the Ph.D. degree from the Department of Electronic Engineering at Shanghai Jiao Tong University (SJTU) in Jun 2025, advised by Prof. Jia Wang.

Work & Intern Experience

BlueImage Lab, vivo Work

Researcher · Jul. 2025 - Present

Tencent AMS Intern

Research Intern · Mar. 2025 - Jun. 2025

BlueImage Lab, vivo Intern

Research Intern · Oct. 2023 - Mar. 2025

Tencent Youtu Lab Intern

Research Intern · Jan. 2022 - Oct. 2023

Midea AI Lab Intern

Research Intern · Jul. 2021 - Dec. 2021

Education

Shanghai Jiao Tong University

Ph.D. in Electronic Engineering

Sep. 2020 – Jun. 2025

Advisor: Prof. Jia Wang

Xidian University

B.Eng. in Electronic Engineering

Sep. 2016 – Jun. 2020

Research Interests

Generative Models MLLM Computer Vision Machine Learning

News Recent Updates

Feb 2026 · Paper CVPR 2026 paper accepted (Highlight) · Congratulations for Dr. Gao!

Publications

(C: Conference | J: Journal | P: Preprint | *: Equal Contribution)

Conference

[C1] C²FG: Control Classifier-Free Guidance via Score Discrepancy Analysis

Jiayang Gao*, Tianyi Zheng*, Jiayang Zou, Fengxiang Yang, Shice Liu, Luyao Fan, Zheyu Zhang, Hao Zhang, Jinwei Chen, Peng-Tao Jiang, Bo Li, Jia Wang

[Paper] IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026 Highlight

[C2] I-DRUID: Layout to Image Generation via Instance-Disentangled Representation and Unpaired Data

Fengxiang Yang, Tianyi Zheng, Bangjie Yin, Shice Liu, Jinwei Chen, Peng-Tao Jiang, Bo Li

[Paper] International Conference on Learning Representations (ICLR) 2026

[C3] Bidirectional Noise Injection: Enhancing Diffusion Models via Coordinated Input-Output Perturbation

Tianyi Zheng, Jiayang Gao, Peng-Tao Jiang, Fengxiang Yang, Ben Wan, Hao Zhang, Jinwei Chen, Jia Wang, Bo Li

[Paper] AAAI Conference on Artificial Intelligence (AAAI) 2026 Oral

[C4] Pruning for Sparse Diffusion Models based on Gradient Flow

Ben Wan, Tianyi Zheng, Zhaoyu Chen, Yuxiao Wang, Jia Wang

[Paper] IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025 Oral

[C5] Non-uniform Timestep Sampling: Towards Faster Diffusion Model Training

Tianyi Zheng, Cong Geng, Peng-Tao Jiang, Ben Wan, Hao Zhang, Jinwei Chen, Jia Wang, Bo Li

[Paper] ACM International Conference on Multimedia (MM) 2024

[C6] Beta-Tuned Timestep Diffusion Model

Tianyi Zheng, Peng-Tao Jiang, Ben Wan, Hao Zhang, Jinwei Chen, Jia Wang, Bo Li

[Paper] European Conference on Computer Vision (ECCV) 2024

[C7] FAMIM: A Novel Frequency-Domain Augmentation Masked Image Model Framework for Domain Generalizable Face Anti-Spoofing

Tianyi Zheng, Qinji Yu, Zhaoyu Chen, Jia Wang

[Paper] IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024 Oral

Journal

[J1] Bidirectional Beta-Tuned Diffusion Model

Tianyi Zheng, Jiayang Zou, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Jia Wang, Bo Li

[Paper] IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2026

[J2] Gradient Flow-Based Iterative Pruning for Efficient and High-Quality Lightweight Diffusion Models

Ben Wan, Tianyi Zheng, Yuxiao Wang, Jia Wang

[Paper] Neural Networks (NN) 2025

[J3] EnfoMax: Domain Entropy and Mutual Information Maximization for Domain Generalized Face Anti-Spoofing

Tianyi Zheng, Bo Li, Shuang Wu, Ben Wan, Guodong Mu, Shice Liu, Shouhong Ding, Jia Wang

[Paper] Neurocomputing (NC) 2025

[J4] Enhancing the Accuracy of Generative Adversarial Networks with Fokker-Planck Equations

Ben Wan, Tianyi Zheng, Zhaoyu Chen, Jia Wang

[Paper] Neurocomputing (NC) 2025

[J5] EBM-WGF: Training Energy-based Models with Wasserstein Gradient Flow

Ben Wan, Cong Geng, Tianyi Zheng, Jia Wang

[Paper] Neural Networks (NN) 2025

[J6] MFAE: Masked Frequency Autoencoders for Domain Generalization Face Anti-Spoofing

Tianyi Zheng, Bo Li, Shuang Wu, Ben Wan, Guodong Mu, Shice Liu, Shouhong Ding, Jia Wang

[Paper] IEEE Transactions on Information Forensics and Security (T-IFS) 2024

Preprint

[P2] InfoTok: Regulating Information Flow for Capacity-Constrained Shared Visual Tokenization in Unified MLLMs

Lv Tang, Tianyi Zheng, Bo Li, Xingyu Li

[Paper] arXiv 2026

[P1] Towards Generalizable Data Protection With Transferable Unlearnable Examples

Bin Fang, Bo Li, Shuang Wu, Tianyi Zheng, Shouhong Ding, Ran Yi, Lizhuang Ma

[Paper] arXiv 2023

Research Experiences

BlueImage Lab, vivo

WorkResearcher

Jul. 2025 - Present

Focused on improving diffusion model architectures, including training efficiency, sampling quality, and controllability.
Explored multimodal large language models (MLLMs), with emphasis on visual understanding and generation alignment.

Tencent AMS

InternResearch Intern

Mar. 2025 - Jun. 2025

Investigated controllable image generation, focusing on the automated generation of advertising assets.
Explored techniques for achieving fine-grained control over generative outputs in diffusion-based frameworks.

BlueImage Lab, vivo

InternResearch Intern

Oct. 2023 - Mar. 2025

Investigated the application and improvement of diffusion models for image generation and edit tasks.

Tencent Youtu Lab

InternResearch Intern

Jan. 2022 - Oct. 2023

Conducted research on computer vision algorithms with a focus on self-supervised learning and representation learning for visual understanding.
Explored domain generalization methods to improve model robustness across different data distributions, particularly for face anti-spoofing.

Midea AI Lab

InternResearch Intern

Jul. 2021 - Dec. 2021

Explored efficient inference techniques for deep learning models.

Honors & Awards

BYD Scholarship, Shanghai Jiao Tong University 2025

Outstanding Graduate Scholarship, Xidian University 2020

Outstanding Student Scholarship, Xidian University 2017, 2018, 2019

Academic Services

Conference Reviewer

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

European Conference on Computer Vision (ECCV)

IEEE/CVF International Conference on Computer Vision (ICCV)

Conference on Neural Information Processing Systems (NeurIPS)

International Conference on Learning Representations (ICLR)

International Conference on Machine Learning (ICML)

AAAI Conference on Artificial Intelligence (AAAI)

International Joint Conference on Artificial Intelligence (IJCAI)

ACM International Conference on Multimedia (ACM MM)

International Conference on Artificial Intelligence and Statistics (AISTATS)

Journal Reviewer

International Journal of Computer Vision (IJCV)

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

Knowledge-Based Systems (KBS)

Transactions on Machine Learning Research (TMLR)

Teaching Assistant

EE453: Elements of Information Theory, Shanghai Jiao Tong University

Biography

Work & Intern Experience

Education

Research Interests

News Recent Updates

Publications Selected Full

Conference

Journal

Preprint

Research Experiences

Honors & Awards

Academic Services

Publications