About Me
Hello! 👏 I’m a third-year undergraduate student in UESTC’s “Everest Project” Computer Top-Talent Experimental Class (2023–2027), majoring in Computer Science. Now, I’m interested in LLM SFT/RL and reasoning, image/video generation, and unified multimodal models. Earlier, I explored AI for smart grids and remote-sensing image fusion. You can find my resume or 中文简历 here.
⭐ I am eager to discuss potential collaborations and am actively seeking research internship opportunities(industry/academia),including onsite roles.I ‘m also seeking for 2027 fall PHD position. Please feel free to contact me via email: [huang_rui@std.uestc.edu.cn],[paulafixamiworali@gmail.com] or WeChat: huangrui_dby if you are interested.I warmly welcome your message and look forward to connecting!
🔥 News
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2025.07: 🎉 I’m honored to be invited to be a reviewer of AAAI 2026!
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2025.06: 🏆 I’m so happy to be 1/30 of SenseTime Scholarship 2025! This is the greatest praise I have received so far.
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2025.06: 🎉 We pre-released Diffusion Dataset Condensation on arXiv, accelerating the pre-training of diffusion models by 100x!!!. The entire project used hundreds of H100/A100!!
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2025.03: 🎉 We released CoT Image, The first to introduce CoT-style strategies into image generation, it has attracted widespread attention in the community and received over 790+ stars!!
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2024.12: 🎉 Our paper Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening has been accepted by AAAI 2025 and selected for Oral Presentation. See you in Philadelphia!!!!
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2024.10: 🏆 I am happy to be awarded the National Scholarship and the Gratitude Scholarship for Modern Scientists.
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2024.09: 🎉 Our paper Causal Mechanism-Enabled Zero-Label Learning for Power Generation Forecasting of Newly-Built PV Sites has been accepted by IEEE Transactions on Sustainable Energy, check it out!
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2024.08: 🎉 I am delighted to be going to Cambridge as a visiting student.
📝 Selected Publications & Preprints

🔥Diffusion Dataset Condensation: Training Your Diffusion Model Faster with Less Data
Rui Huang* , Shitong Shao* , Zikai Zhou, Pukun Zhao, Hangyu Guo, Tian Ye, Lichen Bai, Shuo Yang, Zeke Xie†
[PDF] [Github]
TL;DR: Proposed D²C: Diffusion Dataset Condensation for diffusion models, enabling 100× faster training with 0.8%–4% data via sample selection and semantic enhancement; trained on hundreds of A800/H100 GPUs.

🔥Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening
Jie Huang*, Rui Huang*, Jinghao Xu, Siran Pen, Yule Duan, Liangjian Deng†
TL;DR: Proposed WFANet for image fusion, combining wavelet transformation with attention, achieving SOTA on multiple datasets.

🔥Can We Generate Images with CoT? Let’s Verify and Reinforce Image Generation Step by Step
Ziyu Guo*, Renrui Zhang*†, Chengzhuo Tong*, Zhizheng Zhao*, Rui Huang, Haoquan Zhang, Manyuan Zhang, Jiaming Liu, Shanghang Zhang, Peng Gao, Hongsheng Li, Pheng-Ann Heng
TL;DR: Proposed CoT-Image with step-wise reasoning and novel reward models (PARM/PARM++), improving autoregressive image generation by 24% via test-time verification and preference alignment.

Complementary Online Learning Network for Probabilistic Load Forecasting Against Extreme Weather
Rui Huang, Pengfei Zhao, Di Cao†, Weihao Hu, Qi Huang, Zhe Chen
[PDF] [Github]
TL;DR: Proposed the Complementary Online Learning Network (COLNet) with a Weather-aware gating mechanism for high precision probabilistic and point forecasting under extreme weather.
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A Novel Spatiotemporal Pyramidal Graph Modeling Approach for Short-Term Residential Load Forecasting
Pengfei Zhao, Weihao Hu, Di Cao†, Rui Huang, Xingtao Bai, Qi Huang, Zhe Chen
IEEE Transactions on Industrial Informatics (SCI Q1, IF: 10.2)
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Pengfei Zhao, Weihao Hu, Di Cao†, Rui Huang, Xiawei Wu, Qi Huang, Zhe Chen
IEEE Transactions on Sustainable Energy (SCI Q1, IF: 7.9)
📖 Educations
- 2023.09 - 2027.06, “Everest Project” Computer Top Talent Experimental Class, University of Electronic Science and Technology of China
🏆 Honors
- [2025] SenseTime Scholarship(商汤奖学金) (award rate <0.1%; 30 undergrads China-wide)
- [2024] National Scholarship(国家奖学金) (top recipient in the college)
- [2024] Gratitude Scholarship for Modern Scientists (感恩中国近现代科学家助学金) (top 10 in school)
- [2024] Excellence Scholarship — School of Computer Science, UESTC
- [2024] First-Class Scholarship for Outstanding Students
🏅 Competition Awards
- [2025] National Gold Award — National College Student Career Planning Competition(职规赛国金)🏅 (award rate <0.1%; first from UESTC to receive this award)
- [2025] Provincial First Prize — China International College Students’ Innovation Competition (国创赛省一)🏅
- [2025] Provincial Special Prize — “Challenge Cup” National College Students’ Extracurricular Academic and Technological Works Competition(挑战杯省特)🏅
- [2024] National Third Prize — Five-Minute Research Presentation (5MRP) Competition🥉
- [2023] Provincial First Prize — Huawei ICT Competition🏅(华为ICT省一) (rank 2rd in province)
💬 Talks & Reports
- [2025.07] 2025商汤奖学金公布!30位”AI新星”亮相 -Interview by SenseTime
- [2025.07] 黄锐:“打造令人认可的中国AI产品” -Interview by Education Herald
- [2025.04] 🥇祝贺!全国金奖+2! -Report by UESTC’s official account
- [2025.04] 【理想·担当 国奖风采】黄锐 -Report by UESTC Student Financial Aid
- [2024.10] 【直播回放】电子科大AI社活动进行中 -Report by UESTC Student Financial Aid
- [2024.08] 实践印记|【致广大,尽精微】直播带货助力乡村经济,教育扶贫点亮希望之灯 -Report by UESTC Social Practice
🎓 Services
- Reviewer for AAAI 2026
- Co-Founder of the UESTC AI Club
- Deputy captain for the “Embrace the Great, Pursue the Subtle” Social Practice Team(“致广大 尽精微”实践队)