I am currently working toward the doctoral degree, supervised by Prof. Xin Lou, in electronic and information engineering with School of Information Science and Technology, ShanghaiTech University, Shanghai, China.
My researches focus on developing efficient computational frameworks for artificial intelligence, with an emphasis on:
- Lightweight Algorithm Design: Creating efficient models for resource-constrained environments.
- Software-Hardware Co-optimization: Collaboratively optimizing algorithmic performance and hardware efficiency.
- Edge Computing Deployment: Accelerating and deploying 3D computer vision and graphics applications on edge platforms, including NVIDIA Jetson, FPGAs, and ASICs.
And I am currently exploring data-driven methods for 3D vision and the creation of immersive volumetric video experiences.
🔥 News
- 2025.08: One paper conditionally accepted by Siggraph Aisa 2025.
- 2025.07: One paper submitted to KBS.
- 2025.06: One paper submitted to TCSVT.
- 2025.06: One paper submitted to TSP.
📝 Publications
Duplex-GS: Proxy-Guided Weighted Blending for Real-Time Order-Independent Gaussian Splatting
Weihang Liu, Yuke Li, Yuxuan Li, Jingyi Yu, Xin Lou
- Artifact-free Gaussian Splatting architecture aimed for the deployment on resource-constrained platform.
CityGo: Lightweight Urban Modeling and Rendering with Proxy Buildings and Residual Gaussians
Weihang Liu*, Yuhui Zhong*, Yuke Li*, Xi Chen, Jiadi Cui, Honglong Zhang, Lan Xu, Xin Lou, Yujiao Shi, Jingyi Yu, Yingliang Zhang
- Hybrid 3D models achieving real-time rendering of large-scale city scene on edge devices.
CoARF++: Content-Aware Radiance Field Aligning Model Complexity With Scene Intricacy
Weihang Liu, Xue Xian Zheng, Yuke Li, Tareq Y. Al-Naffouri, Jingyi Yu, Xin Lou
- Dynamic model adjustment aligning model complexity with scene intricacy.
Weihang Liu, Xue Xian Zheng, Jingyi Yu, Xin Lou
- Novel model quantization paradigm with adaptive bitwidth.
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Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs, Xue Xian Zheng, Weihang Liu, Xin Lou, Stefan Vlaski, Tareq Al-Naffouri
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Massive MIMO Channel Prediction in Real Propagation Environments Using Tensor Decomposition and Autoregressive Models, Weihang Liu, Ziyu Chen, Xiang Gao, PIMRC 2022, Kyoto, Japan,
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Channel Prediction for Millimeter-Wave V2V Communication Using Autoregressive Models, Ziyu Chen, Xiang Gao, Weihang Liu, Daizhong Yu, Guangrong Yue, ISAPE 2021
📖 Educations
- 2023.09 - now, pursuing doctoral degree from School of Information Science and Technology, ShanghaiTech University, Shanghai, China.
- 2019.09 - 2022.06, received the M.E. degree from Nation Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China (UESTC), Chengdu, China
- 2015.09 - 2019.06, received the B.S. degree from School of Information Engineering, Wuhan University of Technology (WHUT), Wuhan, China.
💻 Internships & Work experience
- 2023.09 - now, Algorithm researcher Intern at GGU Technology Co., Ltd.
- 2023.01 - 2023.07, Engineer at Aviation Industry corporation of China.
- 2022.06 - 2022.12, Algorithm engineer at X-ring, Xiaomi.
- 2021.06 - 2021.12, Algorithm engineer Intern at ArrayComm, Chengdu, China.