CV
Ph.D. in Software Engineering (Rank: 1/27)
Dalian University of Technology (DLUT) (985/211)
- Institute: Geometric Computing and Intelligent Media Technology
- Laboratory: Key Laboratory for Ubiquitous Network and Service Software, Liaoning Province
- Advisor: Prof. Risheng Liu (Director, National Excellent Young Scholar)
Sep. 2021 – Jun. 2025 (Expected)
M.S. in Software Engineering (Initial & Final Exam Rank: 4/299, 2/54)
Dalian University of Technology (DLUT) (985/211)
- Institute: Geometric Computing and Intelligent Media Technology
- Laboratory: Key Laboratory for Ubiquitous Network and Service Software, Liaoning Province
- Advisor: Prof. Risheng Liu (Director, National Excellent Young Scholar)
Sep. 2019 – Jun. 2021
B.S. in Network Engineering (GPA: 3.96/5.0, Rank: 12/124, Top 10%)
Dalian University of Technology (DLUT) (985/211)
- School: Computer Science and Technology
- Core Courses: Basic Engineering Mathematical Analysis I (99), II (99), Probability and Statistics (99)
Sep. 2015 – Jun. 2019
Ph.D. Research Projects
Dalian University of Technology (DLUT)
Sep. 2021 – Jun. 2025 (Expected)
- High-dimensional Task Optimization: Developed advanced algorithms for hyperparameter optimization, neural architecture search (NAS), and generative adversarial networks (GANs)
- Publications: NeurIPS (Spotlight), ICML
- Trustworthy Machine Learning: Designed tailored optimization schemes for adversarial attacks and defenses
- Publications: IJCAI, ACM MM
- Multimedia Learning Methods: Proposed learning-based solutions for super-resolution (SR), semantic segmentation (SS), and image fusion tasks
M.S. Research Projects
Dalian University of Technology (DLUT)
Sep. 2019 – Jun. 2021
- Gradient-based Bi-Level Optimization Toolbox: Built an open-source BLO toolbox for meta-learning tasks
- Award: Best Open-Source Project Award, ICME
- Typical Learning Tasks: Conducted research on few-shot classification and reinforcement learning
Awards
- 2024 National Scholarship for Outstanding Students
- 2022, 2023, 2024 Excellent Graduate Student Award (Consecutive 3 years)
- 2021 Second Prize, Best Open-Source Project Award, ICME (CCF B)
- 2019, 2021 First-Class Academic Scholarship for Master’s and Ph.D. Programs
- 2015, 2016 National Inspirational Scholarship (Top 5%), Dalian University of Technology
- 2018 Second Prize, 3rd National College Students Academic English Vocabulary Competition
- 2016, 2017 National Inspirational Scholarship
- 2016, 2017 First-Class Academic Scholarship (Top 5%), Second-Class Academic Scholarship
- 2016 Second Prize, 25th Dalian City University Students Mathematics Contest
Service
Reviewer / PC Member
- 2025: CVPR, ICML, ICLR, AAAI, ACM MM, ICCV
- 2024: NeurIPS, ICLR, ICML, IJCAI, AAAI, ACM MM
- 2023: NeurIPS, ICLR, ICML, ACM MM
- 2022: NeurIPS, ICLR
Skills
- Technical Proficiency: Python, MATLAB, PyTorch, TensorFlow, C/C++, LaTeX
- Core Competencies: Data Structures & Algorithms, Image Processing, Machine Learning, Deep Learning
- Project Experience: Full project lifecycle, including proposal, evaluation, conclusion, and report organization
- Language: CET-4, CET-6
Publications
Yaohua Liu, Jiaxin Gao, Xuan Liu, Xianghao Jiao, Xin Fan, Risheng Liu. Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation[C]. International Joint Conference on Artificial Intelligence (IJCAI), 2024.
Jiaxin Gao, Yaohua Liu, Ziyu Yue, et al. Collaborative brightening and amplification of low-light imagery via bi-level adversarial learning[J]. Pattern Recognition (PR), 2024, 154: 110558.
Jiaxin Gao, Ziyu Yue, Yaohua Liu, et al. A Dual-Stream-Modulated Learning Framework for Illuminating and Super-Resolving Ultra-Dark Images[J]. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2024.
Jiaxin Gao, Yaohua Liu*. Enhancing images with coupled low-resolution and ultra-dark degradations: a tri-level learning framework[C]. ACM International Conference on Multimedia (ACM MM), 2024.
Xiaofeng Liu, Jiaxin Gao, Yaohua Liu, et al. Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark[C]. International Conference on Image and Graphics (ICIG), 2023, Oral.
Xianghao Jiao, Yaohua Liu, Jiaxin Gao, et al. Pearl: Preprocessing enhanced adversarial robust learning of image deraining for semantic segmentation[C]. ACM International Conference on Multimedia (ACM MM), 2023.
Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang. Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity[C]. International Conference on Machine Learning (ICML), 2023.
Pan Mu, Zhu Liu, Yaohua Liu, Risheng Liu, Xin Fan. Triple-level model inferred collaborative network architecture for video deraining[J]. IEEE Transactions on Image Processing (IEEE TIP), 2021, 154: 110558.
Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang. Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond[C]. Advances in Neural Information Processing Systems (NeurIPS), 2021, Spotlight, Acceptance Rate ≤ 3% .
Yaohua Liu, Risheng Liu. Boml: A Modularized Bilevel Optimization Library In Python For Meta Learning[C]. IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2021, Best Open Source Project Awards, Oral.
