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Jiaqi Tang I am a Ph.D. student in Dept. of ECE at Hong Kong University of Science and Technology (HKUST), starting from Fall 2025, supervised by Prof. Qifeng Chen. Prior to this, I earned my M.Phil. in AI at HKUST Guangzhou, jointly supervised by Prof. Ying-Cong Chen and Prof. Qifeng Chen, in 2025. Before that, I obtained B.Eng. in Data Science & Big Data Tech. and Business Administration (Minor) with outstanding graduate at Northwestern Polytechnical University, supervised by Prof. Wei Wei, in 2022. I am working closely with Dr. Xiaogang Xu at MiroMind. My research focuses on Multimodal Large Language Models (MLLMs) and Agentic AI, including multimodal perception, understanding, and reasoning. I am actively seeking global research internship opportunities for Summer 2026. Please feel free to contact me. Email / Scholar / Github / LinkedIn / HuggingFace / DBLP / ORCID / ResearchGate / Kaggle / YouTube |
Captured at Singapore |
News
• Apr 2026: Three papers are accepted by ACL2026 (2 Main + 1
Findings). |
Selective Survey [Full List] |
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Intelligent Remote Sensing Agents: A Survey
Jiaqi Tang*, Yingying Yan*, Qianzhou Wang*, Yuyang Xia*, Botong Geng*, Jianmin Chen*, Ke Ma, Youyang Zhai, Qingfeng He, Weigeng Shao, Yunjin Sun, Junwei Dai, Chuxi Chen, Xiaogang Xu, Kelu Yao, Lei Zhang, Wei Wei†, Qifeng Chen†, Antonio Plaza, Yanning Zhang Technical Report, 2026 paper / repository Media Report: Synced (机器之心) / X / Reddit Curated collection of 100+ papers on intelligent remote sensing agents, with datasets, benchmarks, and application domains. |
Selective Research Papers [Full List]
Some representative papers are highlighted.
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Robust-R1: Degradation-Aware Reasoning for Robust
Visual Understanding
Jiaqi Tang*, Jianmin Chen*, Wei Wei†, Xiaogang Xu, Runtao Liu, Xiangyu Wu, Qipeng Xie, Jiafei Wu, Lei Zhang, Qifeng Chen† AAAI Conference on Artificial Intelligence (AAAI), 2026 (Oral) arXiv / code / model / data / demo / talk / bibtex Media Report: AI Era (新智元) / Synced (机器之心) / CVer / HuggingFace Daily Papers / VALSE 2026 A new paradigm for robust adversarial learning of multimodal large models by reasoning. |
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LPO: Towards Accurate GUI Agent Interaction via
Location Preference Optimization
Jiaqi Tang*, Yu Xia*, Yi-Feng Wu*, Yuwei Hu*, Yuhui Chen, Qing-Guo Chen, Xiaogang Xu†, Xiangyu Wu, Hao Lu, Yanqing Ma, Shiyin Lu, Qifeng Chen† Findings of the Association for Computational Linguistics (ACL Findings), 2026 arXiv / code / bibtex Location preference optimization for accurate GUI agent interaction. |
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RhythmGuassian: Repurposing Generalizable Gaussian
Model For Remote Physiological Measurement
Hao Lu*, Yuting Zhang*, Jiaqi Tang, Bowen Fu, Wenhang Ge, Wei Wei, Kaishun Wu, Ying-Cong Chen IEEE/CVF International Conference on Computer Vision (ICCV), 2025 (Highlight) bibtex Repurposing generalizable Gaussian model for remote physiological measurement. |
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SURGEON: Memory-Adaptive Fully Test-Time Adaptation via
Dynamic Sparsity Activation
Ke Ma, Jiaqi Tang, Fan Dang, Bin Guo†, Sicong Liu, Cheng Fang, Zhui Zhu, Lei Wu, Ying-Cong Chen, Zhiwen Yu, Yunhao Liu† IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 (Highlight) code / bibtex Memory-adaptive test-time adaptation method that dynamically activates sparsity for efficient adaptation. |
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AdaShadow: Responsive Test-time Adaptation for
Non-stationary Mobile Environments
Cheng Fang, Sicong Liu, Zimu Zhou, Bin Guo†, Jiaqi Tang, Ke Ma, Zhiwen Yu ACM Conference on Embedded Networked Sensor Systems (SenSys), 2024 (Best Paper Honorable Mention, Top 7/313) bibtex Responsive test-time adaptation framework for non-stationary mobile environments. |
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Hawk: Learning to Understand Open-World Video
Anomalies
Jiaqi Tang*, Hao Lu*, Ruizheng Wu, Xiaogang Xu, Ke Ma, Cheng Fang, Bin Guo, Jiangbo Lu, Qifeng Chen, Ying-Cong Chen† Annual Conference on Neural Information Processing Systems (NeurIPS), 2024 code / demo / model / dataset / website / bibtex Media Report: Zhihu (知乎) / PaperWeekly / autodriving-heart (自动驾驶之心) / VALSE 2025 We first propose Video Anomaly Understanding (VAU) task and open-sourced the first base model. |
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An Incremental Unified Framework for Small Defect
Inspection
Jiaqi Tang, Hao Lu, Xiaogang Xu, Ruizheng Wu, Sixing Hu, Tong Zhang, Tsz Wa Cheng, Ming Ge, Ying-Cong Chen†, Fugee Tsung 18th European Conference on Computer Vision (ECCV), 2024 code / project page / bibtex An incremental unified framework for small defect inspection in industrial applications. |
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Learning to Remove Wrinkled Transparent Film with
Polarized Prior
Jiaqi Tang, Ruizheng Wu, Xiaogang Xu, Sixing Hu, Ying-Cong Chen† IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 code / project page / bibtex Learning-based method to remove wrinkled transparent film using polarized prior information. |
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High Dynamic Range Image Reconstruction via Deep
Explicit Polynomial Curve Estimation
Jiaqi Tang, Xiaogang Xu, Sixing Hu, Ying-Cong Chen† 26th European Conference on Artificial Intelligence (ECAI), 2023 (Long Oral) code / arXiv / talk / bibtex High dynamic range image reconstruction through deep explicit polynomial curve estimation. |
Internship & Professional Experience
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Awards
Best Paper Honorable Mention (7/313), by ACM SenSys 2024. |
Teaching
Spring 2026: ELEC 4471: Deep Learning in Computer Vision, at
Hong Kong University of Science and
Technology. |
Professional Activities, Skills & Others
Journal Reviewer: |