About Me
I am an Applied Scientist at Amazon Prime Video.
I earned my Ph.D. in Computer Science from
Penn State University (2022–2026), advised by Prof. Abhinav Verma,
and my M.S. (2022) and B.S. (2019) from USTB, advised by Prof. Xu-Cheng Yin.
My current research centers on Causal World Modeling, MLLM Agent Post-Training & Self-Evolution, and also Judge.
After nearly a decade in computer vision, I have grown most curious about a different question: how agents can model
open-ended, creative tasks, capturing human taste and, ultimately, modeling how human society itself evolves.
I believe the next frontier is not perceiving the world more accurately, but reasoning about what people find valuable and worth creating.
Feel free to contact me for discussion, collaboration, or internship opportunities.
Publications
Video/Image Generation
What Happens Next? Next Scene Prediction with a Unified Video Model
Xinjie Li, Zhimin Chen, Rui Zhao, Florian Schiffers, Zhenyu Liao, Vimal Bhat
HiGen @ CVPR 2026 Oral, 2026
Co-Speech Gesture Video Generation with Implicit Motion-Audio Entanglement
Xinjie Li, Ziyi Chen, Xinlu Yu, Iek-Heng Chu, Peng Chang, Jing Xiao
CVPR, 2025
Are Conditional Latent Diffusion Models Effective for Image Restoration?
Yunchen Yuan, Junyuan Xiao, Xinjie Li
Arxiv Preprint, 2024
DiffBody: Human Body Restoration by Imagining with Generative Diffusion Prior
Yiming Zhang, Lionel Z. WANG, Sizhuo Ma, Xinjie Li, Jian Ren, Zhihang Zhong, Jian Wang
ICCP, 2025
SD-GAN: Semantic Decomposition for Face Image Synthesis with Discrete Attribute
Kangneng Zhou, Xiaobin Zhu, Daiheng Zhou, Kai Lee, Xinjie Li, Xu-Cheng Yin
ACM MM, 2022
Video Understanding
CI w/o TN: Context Injection without Task Name for Procedure Planning
Xinjie Li
Arxiv Preprint, 2024
Repetitive Action Counting with Motion Feature Learning
Xinjie Li, Huijuan Xu
WACV, 2024
MEID: Mixture-of-Experts with Internal Distillation for Long-Tailed Video Recognition
Xinjie Li, Huijuan Xu
AAAI Oral, 2023
AI4Science
RetroMoE: A Mixture-of-Experts Latent Translation Framework for Single-step Retrosynthesis
Xinjie Li, Abhinav Verma
IJCAI, 2025
Sub-Clustering for Class Distance Recalculation in Long-Tailed Drug Discovery
Yujia Su*, Xinjie Li*, Lionel Z. Wang
Arxiv Preprint, 2025
Modeling Inverse Ellipsometry Problem via Flow Matching with a Large-Scale Dataset
Yiming Ma*, Jianzhi Teng*, Xinjie Li*, Xin Sun, Zhiyong Wang, Yuzhou Song, Lionel Z. Wang, Bin Chen
Arxiv Preprint, 2024
Others
DANet: Dynamic Attention to Spoof Patterns for Face Anti-Spoofing
Chun-Yu Sun, Song-Lu Chen, Xinjie Li, Feng Chen, Xu-Cheng Yin
ICPR, 2022
Semantic Bilinear Pooling for Fine-Grained Recognition
Xinjie Li, Chun Yang, Song-Lu Chen, Chao Zhu, Xu-Cheng Yin
ICPR, 2020
Stereo CenterNet based 3D Object Detection for Autonomous Driving
Yuguang Shi, Yu Guo, Zhenqiang Mi, Xinjie Li
Neurocomputing