Yu Feng

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 15

Top Topics

Sparse Sampling

Active Illumination

Top Venues

Publications

Yu Feng, Tianrui Ma, Yuhao Zhu, Xuan Zhang
BlissCam: Boosting Eye Tracking Efficiency with Learned In-Sensor Sparse Sampling. CoRR (2024)
Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. ASPLOS (2) (2024)
Jiale Xu, Rui Zhang, Cong Guo, Weiming Hu, Zihan Liu, Feiyang Wu, Yu Feng, Shixuan Sun, Changxu Shao, Yuhong Guo, Junping Zhao, Ke Zhang, Minyi Guo, Jingwen Leng
vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving. CoRR (2024)
Yu Feng, Zihan Liu, Jingwen Leng, Minyi Guo, Yuhao Zhu
Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations. ISCA (2024)
Yue Guan, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo
Amanda: Unified Instrumentation Framework for Deep Neural Networks. ASPLOS (1) (2024)
Weikai Lin, Yu Feng, Yuhao Zhu
RTGS: Enabling Real-Time Gaussian Splatting on Mobile Devices Using Efficiency-Guided Pruning and Foveated Rendering. CoRR (2024)
Yu Feng, Tianrui Ma, Yuhao Zhu, Xuan Zhang
BlissCam: Boosting Eye Tracking Efficiency with Learned In-Sensor Sparse Sampling. ISCA (2024)
Mingzhe Gao, Jieru Zhao, Zhe Lin, Wenchao Ding, Xiaofeng Hou, Yu Feng, Chao Li, Minyi Guo
AutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs. CoRR (2024)
Yu Feng, Zihan Liu, Jingwen Leng, Minyi Guo, Yuhao Zhu
Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations. CoRR (2024)
Yu Feng, Patrick Hansen, Paul N. Whatmough, Guoyu Lu, Yuhao Zhu
Fast and Accurate: Video Enhancement Using Sparse Depth. WACV (2023)
Tianrui Ma, Yu Feng, Xuan Zhang, Yuhao Zhu
CAMJ: Enabling System-Level Energy Modeling and Architectural Exploration for In-Sensor Visual Computing. ISCA (2023)
Yu Feng, Tianrui Ma, Adith Boloor, Yuhao Zhu, Xuan Zhang
Invited Paper: Learned In-Sensor Visual Computing: From Compression to Eventification. ICCAD (2023)
Yu Feng, Nathan Goulding-Hotta, Asif Khan, Hans Reyserhove, Yuhao Zhu
Real-Time Gaze Tracking with Event-Driven Eye Segmentation. VR (2022)
Yu Feng, Gunnar Hammonds, Yiming Gan, Yuhao Zhu
Crescent: Taming Memory Irregularities for Accelerating Deep Point Cloud Analytics. CoRR (2022)
Yu Feng, Gunnar Hammonds, Yiming Gan, Yuhao Zhu
Crescent: taming memory irregularities for accelerating deep point cloud analytics. ISCA (2022)