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Hi! I am currently a third-year undergraduate student majoring in Artificial Intelligence at South China University of Technology. Previously, I was mainly focusing on efficient Diffusion Models at EPIC Lab of Shanghai Jiao Tong University under the guidance of Prof. Linfeng Zhang. I am currently working with Prof. Xihui Liu on training efficient World Action Models and accelerating Autoregressive Video Models. Starting in July, I will join Prof. Max Simchowitz's group onsite, focusing on real-time World Models. My research interests mainly focus on Efficient Generative Models, World Models and VLMs. I am sincerely seeking PhD opportunities for Fall 2027, if you find our interest matches, please email me! |
News
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Selected Publications |
| * denotes equal contribution; only first and co-first authored papers are listed |
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Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion TransformersShikang Zheng, Guantao Chen, Qinming Zhou, Yuqi Lin, Lixuan He, Chang Zou, Peiliang Cai, Jiacheng Liu, Linfeng Zhang International Conference on Learning Representations (ICLR), 2026 Oral Presentation |
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A Flat Vocabulary or a Rich Hierarchy? Re-introducing Intrinsic Structure Transforms the Autoregressive Image GenerationLixuan He*, Shikang Zheng* International Conference on Machine Learning (ICML), 2026 |
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From Sketch to Fresco: Efficient Diffusion Transformer with Progressive ResolutionShikang Zheng*, Guantao Chen*, Lixuan He, Jiacheng Liu, Yuqi Lin, Chang Zou, Linfeng Zhang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 |
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Forecast the Principal, Stabilize the Residual: Subspace-Aware Feature Caching for Diffusion TransformersGuantao Chen*, Shikang Zheng*, Yuqi Lin, Linfeng Zhang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 |
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Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion TransformersShikang Zheng, Liang Feng, Xinyu Wang, Qinming Zhou, Peiliang Cai, Chang Zou, Jiacheng Liu, Yuqi Lin, Junjie Chen, Yue Ma, Linfeng Zhang AAAI Conference on Artificial Intelligence (AAAI), 2026 |
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Rethinking Token-wise Feature Caching: Accelerating Diffusion Transformers with Dual Feature CachingChang Zou*, Shikang Zheng*, Evelyn Zhang, Runlin Guo, Haohang Xu, Zhengyi Shi, Conghui He, Xuming Hu, Linfeng Zhang IEEE Transactions on Image Processing (IEEE TIP) |
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Stellar White-light Emission Reveals Two Types of Flaring Light Curve PatternsShikang Zheng, Suraj Sahu, Valery M. Nakariakov, Ding Yuan, Song Feng Philosophical Transactions of the Royal Society A |
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HiCache: Training-free Acceleration of Diffusion Models via Hermite Polynomial-based Feature CachingLiang Feng, Shikang Zheng, Jiacheng Liu, Yuqi Lin, Qinming Zhou, Peiliang Cai, Xinyu Wang, Junjie Chen, Chang Zou, Yue Ma, Linfeng Zhang International Conference on Learning Representations (ICLR), 2026 |
Research Experience |
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Carnegie Mellon University, Machine Learning DepartmentVisiting Researcher (2026.3 - present) Supervised by Prof. Max Simchowitz Pittsburgh, PA |
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The University of Hong Kong, MMLabResearch Assistant (2026.2 - present) Supervised by Prof. Xihui Liu Hong Kong, China |
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Shanghai Jiao Tong University, EPIC LabResearch Assistant (2024.9 - 2025.12) Supervised by Prof. Linfeng Zhang Shanghai, China |
Education |
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University of California, BerkeleyExchange Student in EECS (2025.1 - 2025.4) Berkeley, CA |
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South China University of TechnologyB.Eng. in Artificial Intelligence (2023.9 - 2027.7) GPA: 3.77/4.00 Guangzhou, China |
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Copyright 2026 © Shikang Zheng. |