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 CV 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

• 2026.02:  🎉 Two papers accepted to CVPR 2026.

• 2025.11:  🎉 One paper accepted to 𝗜𝗘𝗘𝗘 𝗧𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝗼𝗻 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗰𝘀(𝗦𝗖𝗜 𝗤𝟭), which was completed during my first research internship on AI for smart grid (Oct. 2024) and underwent over a year of review.

• 2025.11:  🎉 Released P1, a series of models that achieved 𝗴𝗼𝗹𝗱 𝗺𝗲𝗱𝗮𝗹-𝗹𝗲𝘃𝗲𝗹 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 in the Physics Olympiad (IPhO), 𝗯𝗲𝗮𝘁𝗶𝗻𝗴 𝗮𝗹𝗹 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹𝘀, including Gemini 2.5 Pro, GPT-5 and Grok 4. Here is the blog

• 2025.11:  🎉 Released UniVA: Universal Video Agent — an open-source next-generation video generalist! UniVA features: 1) 🤖 Unified Agentic System 2) 🎬 Powerful Creation. Try the online demo now! Check the paper. UniVA has been reported by AK and 新智元.

• 2025.10:  🏆 Awarded the National Scholarship of 2025.

• 2025.07:  🎉 Invited to server as a reviewer for AAAI 2026.

• 2025.06:  🏆 Awarded the SenseTime Scholarship 2025! 30 undergraduate students nationwide.

📝 Selected Publications ＆ Preprints [Full List]

CVPR 2026

🔥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.

CVPR 2026

🔥Beyond Fixed Formulas: Data-Driven Linear Predictor for Efficient Diffusion Models

Zhirong Shen^* , Rui Huang^* , Jiacheng Liu, Chang Zou, Peiliang Cai, Shikang Zheng, Zhengyi Shi, Liang Feng, Linfeng Zhang^†

[[PDF]] [Github]

TL;DR: The paper introduces L²P, a learnable linear predictor that accelerates image and video generation in diffusion models by 7.14×, outperforming TaylorSeer and FoCa. It requires minimal data (50 samples) and converges in 20 seconds.

AAAI 2025 Oral

🔥Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening

Jie Huang^*, Rui Huang^*, Jinghao Xu, Siran Pen, Yule Duan, Liangjian Deng^†

[PDF] [Github]

TL;DR: Proposed WFANet for image fusion, combining wavelet transformation with attention, achieving SOTA on multiple datasets.

Under Review

🔥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

[PDF] [Github🌟800+]

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.

Tech Report

🔥P1: Mastering Physics Olympiads with Reinforcement Learning

Jiacheng Chen^*, Qianjia Cheng^*, Fangchen Yu^* …….. Rui Huang ……. Lei Bai^†, Yu Cheng^†, Ning Ding^†, Bowen Zhou^†, Peng Ye^†, Ganqu Cui^†

[PDF] [HomePage] [量子位]

TL;DR: A series of models that achieved 𝗴𝗼𝗹𝗱 𝗺𝗲𝗱𝗮𝗹-𝗹𝗲𝘃𝗲𝗹 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 in the Physics Olympiad (IPhO), beating all the models, including Gemini 2.5 Pro, GPT-5 and Grok 4.

Tech Report

🔥P1-VL:Bridging Visual Perception and Scientific Reasoning in Physics Olympiads

Yun Luo^*✉†, Futing Wang^*, Qianjia Cheng^* …….. Rui Huang ……. Lei Bai^✉, Yu Cheng^✉, Ning Ding^✉, Bowen Zhou^✉, Peng Ye^✉, Ganqu Cui^✉†

[PDF] [HomePage]

TL;DR: An open-source physics VLM (+ PhysicsMinions verifier) that delivers 𝗴𝗼𝗹𝗱-𝗺𝗲𝗱𝗮𝗹-𝗹𝗲𝘃𝗲𝗹 results on HiPhO (12 gold + 1 silver): #3 as a single model (beating Gemini 2.5 Pro, GPT-5, Grok-4) and #2 with agents (surpassing GPT-5.2, only behind Gemini-3-Pro).

Tech Report

🔥UniVA: Universal Video Agents towards Next-Generation Video Intelligence

Zhengyang Liang^*, Daoan Zhang^*, Huichi Zhou, Rui Huang, Bobo Li, Shengqiong Wu, Yuechen Zhang, Xiaohan Wang, Jiebo Luo, Lizi Liao, Hao Fei^†

[PDF] [HomePage] [新智元]

TL;DR: UniVA unifies understanding/segmentation/editing/generation into traceable multi-step video workflows via Plan–Act agents, multi-level memory, and modular tools, plus UniVA-Bench.

IEEE Transactions on Industrial Informatics

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.

• 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)

• Causal Mechanism-Enabled Zero-Label Learning for Power Generation Forecasting of Newly-Built PV Sites

  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 (award rate <0.1%; 30 undergrads China-wide)
• [2025] National Scholarship (top recipient in the college)
• [2024] National Scholarship (top recipient in the college)
• [2024] Gratitude Scholarship for Modern Scientists (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🏅 (award rate <0.1%; first from UESTC to receive this award)
• [2025] National Silver Award — China International College Students’ Innovation Competition🥈
• [2025] Provincial Special Prize — “Challenge Cup” National College Students’ Extracurricular Academic and Technological Works Competition🏅
• [2024] National Third Prize — Five-Minute Research Presentation (5MRP) Competition🥉
• [2023] Provincial First Prize — Huawei ICT Competition🏅 (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