Shangqian Gao

I have joined AMD as a Senior Member of Technical Staff (Senior MTS), working on AI for hardware design. Before joining AMD, I was an Assistant Professor in the Department of Computer Science at Florida State University and a Research Scientist at Samsung Research America. My previous research explored model efficiency, post-training, and safety alignment for large language and generative models.

I received my Ph.D. in Electrical and Computer Engineering from the University of Pittsburgh in 2024, advised by Prof. Heng Huang. I earned my M.S. in Computer Systems Engineering from Northeastern University in 2017 and my B.S. in Electronic Engineering from Xidian University in 2015.

news

Sep 24, 2026 Two papers have been accepted as posters at NeurIPS 2026: CMPQ: Compensatory Quantization via Input-Aware Hessian Damping and PRO: Enabling Precise and Robust Text Watermark for Open-Source LLMs.
Sep 21, 2026 I have joined AMD as a Senior Member of Technical Staff (Senior MTS), working on AI for hardware design. Many thanks to Burak Uzkent and Sharon Zhou for their help and support throughout this transition.
Aug 20, 2026 Three papers have been accepted by EMNLP 2026: SALT: Salience-Aware Lexical Trie for Long-Context Compression, GeoMotionGPT: Geometry-Aligned Motion Understanding with Large Language Models, and Enabling Confidence-Aware Control of Effective Memorization in Large Language Models.
Apr 4, 2026 Our paper HyperEdit: Unlocking Instruction-based Text Editing in LLMs via Hypernetworks has been accepted to Findings of ACL 2026.
Dec 13, 2025 Our paper ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning was accepted by TMLR through the ICLR conference-to-journal track and presented at ICML 2026.
Nov 7, 2025 Our paper Query-Efficient Domain Knowledge Stealing Against Large Language Models has been accepted as a poster at AAAI 2026.
Sep 19, 2025 I have accepted the inviation to serve as an Area Chair for ICLR 2026.
Sep 18, 2025 Four papers have been accepted to NeurIPS 2025: ALTER, Any Large Language Model Can Be a Reliable Judge, Cost-Aware Contrastive Routing for LLMs (Spotlight), and DictPFL.
Aug 20, 2025 Our paper Controllable Memorization in LLMs via Weight Pruning has been accepted to EMNLP 2025.
Apr 10, 2025 I have accepted the inviation to serve as an Area Chair for NeurIPS 2025.
Feb 26, 2025 Our paper Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models has been accepted to CVPR 2025.
Jan 22, 2025 Two papers have been accepted to ICLR 2025: MoDeGPT (Oral) and Not All Prompts Are Made Equal (Poster). FlexiGPT has been accepted to NAACL 2025.
Sep 25, 2024 Our paper DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models has been accepted to NeurIPS 2024.
Sep 19, 2024 Our paper Unlocking Memorization in Large Language Models with Dynamic Soft Prompting has been accepted to EMNLP 2024.
Aug 6, 2024 I joined Florida State University as an Assistant Professor in the Department of Computer Science.
Mar 13, 2024 One paper has been accepted by AAAI 2024. Four papers have been accepted by CVPR 2024. One paper has been accepted by NAACL 2024.
Oct 25, 2023 One paper has been accepted by ICCV 2023. One paper has been accepted by EMNLP 2023. One paper has been accepted by WACV 2024.
Jan 30, 2023 One paper has been accepted by ICLR 2023. One paper has been accepted by PAMI.
Nov 30, 2022 One paper has been accepted by AAAI 2023.
Sep 30, 2022 I will be a reviewer for CVPR 2023.