Yunjie Tian  

Biography

I will be joining TikTok as a senior research scientist.

I am currently a postdoctoral associate at the University at Buffalo, working with Prof. David Doermann.

In 2024, I received my Ph.D. from LAMP at the University of Chinese Academy of Sciences (UCAS), where I was advised by Prof. Qixiang Ye. I earned my B.E. from Jilin University in 2019.

My research interests include computer vision and LLM, specifically for representation learning and multimodal learning.

Publications

	Yunjie Tian, Qixiang Ye, David Doermann YOLOv12: Attention-Centric Real-Time Object Detectors [Paper] [Code]
	Xi Tang, Jihao Qiu, Lingxi Xie, Yunjie Tian, Jianbin Jiao, Qixiang Ye Adaptive Keyframe Sampling for Long Video Understanding CVPR, 2025 [Paper] [Code]
	Jihao Qiu, Yuan Zhang, Xi Tang, Lingxi Xie, Tianren Ma, Pengyu Yan, David Doermann, Qixiang Ye, Yunjie Tian Artemis: Towards Referential Understanding in Complex Videos NeurIPS, 2024 [Paper] [Code]
	Zhaozhi Wang, Yue Liu, Yunfan Liu, Hongtian Yu, Yaowei Wang, Qixiang Ye, Yunjie Tian vHeat: Building Vision Models upon Heat Conduction CVPR, 2025 [Paper] [Code]
	Tianren Ma, Lingxi Xie, Yunjie Tian, Boyu Yang, Qixiang Ye ClawMachine: Fetching Visual Tokens as An Entity for Referring and Grounding ICLR, 2025 [Paper] [Code]
	Yunjie Tian, Tianren Ma, Lingxi Xie, Qixiang Ye ChatterBox: Multi-round Multimidal Referring and Grounding AAAI, 2025 [Paper] [Code]
	Yunjie Tian, Lingxi Xie, Mengnan Shi, Jiemin Fang, Xiaopeng Zhang, Jianbin Jiao, Qi Tian, Qixiang Ye Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers Pattern Recognition, 2025 [Paper] [Code]
	Yue Liu, Yunjie Tian, Yuzhong Zhao, Hongtian Yu, Lingxi Xie, Yaowei Wang, Qixiang Ye, Yunfan Liu VMamba: Visual State Space Model NeurIPS, 2024 [Paper] [Code (2.4k stars)]
	Yunjie Tian, Lingxi Xie, Jihao Qiu, Jianbin Jiao, Qi Tian, Qixiang Ye Fast-iTPN: Integrally Pre-Trained Transformer Pyramid Network with Token Migration TPAMI, 2024 [Paper] [Code]
	Yunjie Tian, Lingxi Xie, Jiemin Fang, Jianbin Jiao, Qixiang Ye, Qi Tian Exploring Complicated Search Spaces with Interleaving-Free Sampling TNNLS, 2024 [Paper]
	*Hongtian Yu, *Yunjie Tian, Qixiang Ye, Yunfan Liu Spatial Transform Decoupling for Oriented Object Detection AAAI, 2024 [Paper] [Code]
	Yunjie Tian, Lingxi Xie, Zhaozhi Wang, Longhui Wei, Xiaopeng Zhang, Jianbin Jiao, Qi Tian, Qixiang Ye Integragrally Pre-Trained Transformer Pyramid Networks CVPR, 2023 [Paper] [Pre.] [Code]
	*Xiaosong Zhang, *Yunjie Tian, Lingxi Xie, Wei Huang, Qi Dai, Qixiang Ye, Qi Tian HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer ICLR, 2023 [Paper] [Code] [arXiv preprint]
	Weixi Zhao, Weiqiang Wang, Yunjie Tian GraFormer: Graph-Oriented Transformer for 3D Pose Estimation CVPR, 2022 [Paper] [Code]
	Yunjie Tian, Chang Liu, Lingxie Xie, Qixiang Ye Discretization-Aware Architecture Search Pattern Recognition, 2021 [Paper] [Code]
	Yunjie Tian, Lingxi Xie, Xiaopeng Zhang, Jiemin Fang, Haohang Xu, Wei Huang, Jianbin Jiao, Qi Tian, Qixiang Ye Semantic-Aware Generation for Self-Supervised Visual Representation Learning [Paper] [Code]
	*Chang Liu, *Yunjie Tian, Zhiwen Chen, Jianbin Jiao, Qixiang Ye Adaptive Linear Span Network for Object Skeleton Detection TIP, 2021 [arXiv preprint] [Code]

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