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Jialian Wu 吴嘉濂 I'm a senior research scientist at the AMD GenAI research team in San Jose, CA, working on training and open-sourcing LLMs. I received my Ph.D. degree from State University of New York at Buffalo in 2023, advised by Prof. Junsong Yuan. Before that, I got my bachelor's degree from Tianjin University in 2018.
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Publications (full list) |
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Latent Visual Reasoning
Bangzheng Li, Ximeng Sun, Jiang Liu, Ze Wang, Jialian Wu, Xiaodong Yu, Hao Chen, Emad Barsoum, Muhao Chen, Zicheng Liu ICLR 2026 PDF / Code |
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XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models
Xingrui Wang, Jiang Liu, Chao Huang, Xiaodong Yu, Ze Wang, Ximeng Sun, Jialian Wu, Alan Yuille, Emad Barsoum, Zicheng Liu ICLR 2026 PDF / Website / Code |
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ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image Reasoning
Yuxiang Guo, Jiang Liu, Ze Wang, Hao Chen, Ximeng Sun, Yang Zhao, Jialian Wu, Xiaodong Yu, Zicheng Liu, Emad Barsoum ICLR 2026 PDF / Code |
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Learning from Online Videos at Inference Time for Computer-Use Agents
Yujian Liu, Ze Wang, Hao Chen, Ximeng Sun, Xiaodong Yu, Jialian Wu, Jiang Liu, Emad Barsoum, Zicheng Liu, Shiyu Chang TMLR 2026 PDF / Code |
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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. arXiv 2025 PDF / Code / Huggingface |
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Instella-Long: A Fully Open Language Model with Long-Context Capability
Jialian Wu, Jiang Liu, Sudhanshu Ranjan, Xiaodong Yu, Gowtham Ramesh, Prakamya Mishra, Zicheng Liu, et al. tech report, 2025 Blog / Code / Huggingface |
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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 NeurIPS 2025 (Spotlight) PDF / Code / Dataset |
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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 EMNLP 2025 (Findings) PDF / Code Star |
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TTT-Bench: A Benchmark for Evaluating Reasoning Ability with Simple and Novel Tic-Tac-Toe-style Games
Prakamya Mishra, Jiang Liu, Jialian Wu, Xiaodong Yu, Zicheng Liu, Emad Barsoum EMNLP 2025 PDF / Dataset |
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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 |
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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 |
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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 |
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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 |
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Stacked Homography Transformations for Multi-View Pedestrian Detection
Liangchen Song, Jialian Wu, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan ICCV 2021 (Oral) |
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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 |
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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 |
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Temporal-Context Enhanced Detection of Heavily Occluded Pedestrians
Jialian Wu, Chunluan Zhou, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan CVPR 2020 |
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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 |
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Self-Mimic Learning for Small-scale Pedestrian Detection
Jialian Wu, Chunluan Zhou, Qian Zhang, Ming Yang, Junsong Yuan ACM MM 2020 |
Mentorship |
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It's fortunate to collaborate with talented PhD students! Feel free to reach out if you’re interested in an internship at AMD.
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Internships |
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Applied Scientist Intern, Amazon, Seattle, WA
August - October, 2022. Advisor: Dr. Tian Lan and Dr. Hui Liang Project: Video Instance Segmentation |
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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 |
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Applied Scientist Intern, Amazon, Seattle, WA
May-August, 2021. Advisor: Dr. Tian Lan and Dr. Hui Liang Project: Video Instance Segmentation |
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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 |
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Music is a great passion in my life! (Listen in) Template from Jon Barron. |