I’m a final-year Ph.D. candidate in the Centre for Intelligent Machines (CIM) at McGill University. Prior to my Ph.D., I received my Master’s degree in Electrical Computer Engineering (ECE) from Georgia Institute of Technology and my Bachelor’s degree in Electrical Engineering from Northeastern University.

My research sits at the intersection of Machine Learning, Large Language Models, and Autonomous Systems, with an emphasis on evaluation, robustness, and real-world reliability. I build structured benchmarks, agent environments, and reward models to rigorously evaluate Vision-Language (VLM) and Vision-Language-Action (VLA) agents in long-horizon, high-stakes scenarios, focusing on agent performance under uncertainty, distribution shift, and adversarial conditions.

📢 I am actively looking for industrial internships and full-time opportunities. I am happy to engage in discussions regarding potential opportunities!

Selected Research Works

* indicates equal contribution

🚗 VLM & VLA for Autonomous Driving

AgentThink: Tool-Augmented Reasoning in VLMs for Autonomous Driving
K. Qian*, S. Jiang*, Y. Zhong*, Z. Luo, Z. Huang, et al.
EMNLP 2025

A Survey on Vision–Language–Action Models for Autonomous Driving
S. Jiang*, Z. Huang*, K. Qian*, Z. Luo, T. Zhu, et al.
ICCV-W, 2025

FASIONAD+:Enhanced Safety in Autonomous Driving with Adaptive Feedback
Z. Luo*, S. Jiang*, K. Qian*, Z. Huang, J. Miao, et al.
ICRA, 2026

Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control
S. Jiang, S. Choi, L. Sun
TRB Annual Meeting (Oral), 2024

⚖️ Foundation Models: Evaluation, Alignment & Safety

EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
K. Wu*, S. Jiang*, M. Ku, P. Nie, M. Liu, W. Chen
ICLR 2026

Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting
F. Liu*, S. Jiang*, L. Miranda-Moreno, S. Choi, L. Sun
AISTATS 2025

VeriWeb: Verifiable Long-Chain Web Benchmark for Agentic Information-Seeking
2077AI Team
Under review, 2025

News

Jan 2026
Two papers accepted at ICRA 2026! Check FASIONAD+ and MTRDrive, dual-system autonomous driving framework and tool-memory augmented driving agent system.

Jan 2026
One paper accepted at ICLR 2026! Check EditReward, our SOTA reward model for image editing.

Nov 2025
One paper accepted as an oral presentation at Bridge Program on AAAI 2026.

Oct 2025
Attended COLM 2025 and ICCV 2025! Abaka AI is honored to be one of the largest sponsor at ICCV 2025!

Aug 2025
One paper AgentThink got accepted at EMNLP 2025!

Aug 2025
I’m thrilled to join the 2077AI-Foundation—contributing to an open-source ecosystem that powers next-gen foundation-model datasets for everyone! 🌟 Let’s build the future of AI together!

Jul 2025
Excited to join Abaka AI as a Research Scientist in Mountain View, California! 🚀 I’ll be working on next-generation auto-labeling frameworks for multimodal foundation models and autonomous driving data — open to collaboration and discussion!

Jul 2025
Our survey paper “A Survey on Vision-Language-Action Models for Autonomous Driving” is accepted at Foundation Models for Autonomous Driving on ICCV 2025.

Jun 2025
We released the first comprehensive survey on Vision–Language–Action (VLA) models for autonomous driving, in collaboration with Tsinghua University, Xiaomi, and the University of Wisconsin–Madison. Check VLA4AD for the latest VLA research!

Apr 2025
I was invited to contribute to the Humanity’s Last Exam benchmark — a milestone initiative for evaluating AGI safety. Grateful to be part of this important effort!

Feb 2025
Our work Temporally Sparse Attack for Fooling Large Language Models in Time Series Forecasting was accepted to the ICLR 2025 Trustworthy LLM Workshop!
📄 Paper Link

Awards

• McGill Engineering Doctoral Award (MEDA), 2021–2024
• TISED Doctoral Recruitment Award (DRA), McGill University, 2021
• Outstanding Graduate of Liaoning Province, 2019
• Most Influential Graduate, Northeastern University, 2019
• 1st Class Academic Scholarship, Northeastern University, 2018
• National 1st Prize, China Undergraduate Mathematical Contest in Modeling, 2017
• 1nd Class Academic Scholarship, Northeastern University, 2016

Academic Service

Conference Reviewer:

• NeurIPS (Neural Information Processing Systems)
• ICLR (International Conference on Learning Representations)
• AISTATS (International Conference on Artificial Intelligence and Statistics)
• CVPR (Conference on Computer Vision and Pattern Recognition)
• ICCV (International Conference on Computer Vision)
• COLM (Conference on Language Modeling)
• EMNLP (Conference on Empirical Methods in Natural Language Processing)
• AAAI (Association for the Advancement of Artificial Intelligence)
• IROS (IEEE/RSJ International Conference on Intelligent Robots and Systems)
• ICRA (IEEE International Conference on Robotics and Automation)
• ITSC (IEEE International Conference on Intelligent Transportation Systems)

Journal Reviewer:

• IEEE Robotics and Automation Letters (RA-L)
• Transportation Research Part C: Emerging Technologies (TRC)
• IEEE Transactions on Intelligent Transportation Systems (T-ITS)