Jialian Wu

I'm a research scientist at AMD GenAI in San Jose where I work on LLM. I received my Ph.D. degree in Computer Science and Engineering from State University of New York at Buffalo (UB) in 2023, advised by Prof. Junsong Yuan. Before that, I got B.Eng. from Tianjin University in 2018. I received the Best Graduate Research Award and Best First Year Achiever Award from the CSE department of UB.

Email  /  CV  /  Google scholar  /  Linkedin  /  Github

profile photo

Publications

I'm interested in language model and computer vision.

Instella: New State-of-the-art Fully Open 3B Language Models
Jiang Liu, Jialian Wu, Xiaodong Yu, Prakamya Mishra, Sudhanshu Ranjan, Zicheng Liu, et al.
tech report, 2025
Blog / Code / Huggingface
Unleashing Hour-Scale Video Training for Long Video-Language Understanding
Jingyang Lin, Jialian Wu, Ximeng Sun, Ze Wang, Jiang Liu, Yusheng Su, Xiaodong Yu, Hao Chen, Jiebo Luo, Zicheng Liu, Emad Barsoum
arXiv, 2025
PDF / Code / Dataset
Agent Laboratory: Using LLM Agents as Research Assistants
Samuel Schmidgall, Yusheng Su, Ze Wang, Ximeng Sun, Jialian Wu, Xiaodong Yu, Jiang Liu, Zicheng Liu, Emad Barsoum
arXiv, 2025
PDF / Code Star
Self-Taught Agentic Long Context Understanding
Yufan Zhuang, Xiaodong Yu, Jialian Wu, Ximeng Sun, Ze Wang, Jiang Liu, Yusheng Su, Jingbo Shang, Zicheng Liu, Emad Barsoum.
ACL, 2025
PDF / Code
KeyVID: Keyframe-Aware Video Diffusion for Audio-Synchronized Visual Animation
Xingrui Wang, Jiang Liu, Ze Wang, Xiaodong Yu, Jialian Wu, Ximeng Sun, Yusheng Su, Alan Yuille, Zicheng Liu, Emad Barsoum
arXiv, 2025
PDF / Code
GRiT: A Generative Region-to-text Transformer for Object Understanding
Jialian Wu, Jianfeng Wang, Zhengyuan Yang, Zhe Gan, Zicheng Liu, Junsong Yuan, Lijuan Wang
ECCV, 2024
PDF / Code
Efficient Video Instance Segmentation via Tracklet Query and Proposal
Jialian Wu, Sudhir Yarram, Hui Liang, Tian Lan, Junsong Yuan, Jayan Eledath, Gerard Medioni
CVPR, 2022
PDF / Video
Track to Detect and Segment: An Online Multi-Object Tracker
Jialian Wu, Jiale Cao, Liangchen Song, Yu Wang, Ming Yang, Junsong Yuan
CVPR, 2021
PDF / Code / Video
Stacked Homography Transformations for Multi-View Pedestrian Detection
Liangchen Song, Jialian Wu, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan
ICCV, 2021 (Oral)
PDF
Handling Difficult Labels for Multi-label Image Classification via Uncertainty Distillation
Liangchen Song, Jialian Wu, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan
ACM MM, 2021
PDF
Robust Knowledge Transfer via Hybrid Forward on the Teacher-Student Model
Liangchen Song, Jialian Wu, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan
AAAI, 2021
PDF
Temporal-Context Enhanced Detection of Heavily Occluded Pedestrians
Jialian Wu, Chunluan Zhou, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan
CVPR, 2020
PDF
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation
Jialian Wu, Liangchen Song, Tiancai Wang, Qian Zhang, Junsong Yuan
ACM MM, 2020 / IEEE Transactions on Multimedia, 2021
PDF / Code
Self-Mimic Learning for Small-scale Pedestrian Detection
Jialian Wu, Chunluan Zhou, Qian Zhang, Ming Yang, Junsong Yuan
ACM MM, 2020
PDF

Professional Experience

Research Scientist, San Jose, CA
April 2024 - Present
Research Scientist, San Diego, CA
June 2023 - March 2024
Applied Scientist Intern, Amazon, Seattle, WA
August - October, 2022. Advisor: Dr. Tian Lan and Dr. Hui Liang
Project: Video Instance Segmentation
Research Intern, Redmond, WA
May-August, 2022. Advisor: Dr. Jianfeng Wang, Dr. Zhe Gan,
Dr. Lijuan Wang, Dr. Zhengyuan Yang, Dr. Zicheng Liu
Project: Object Understanding with Natural Language
Applied Scientist Intern, Amazon, Seattle, WA
May-August, 2021. Advisor: Dr. Tian Lan and Dr. Hui Liang
Project: Video Instance Segmentation
Research Intern, Cupertino, CA
May-August, 2020. Advisor: Dr. Yu Wang and Dr. Ming Yang
Research Intern, Beijing.
05/2018 - 07/2019. Advisor: Dr. Qian Zhang and Dr. Ming Yang.
Projects: Object tracking and detection

Professional Services

  • Conference Reviewer:
  • CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS, Outstanding reviewer in CVPR 2021
  • Journal Reviewer:
  • TPAMI, TIP, TMM, TCSVT

Music is a great passion in my life! (Listen in)

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