Yu Mao

25 papers A* 8Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 — conf
Hitcher: Efficient GPU-based Vector Search via Cluster-Centric Kernel and Hitch-Ride Ordering.
KDD (1)
Qihui Zhou, Changji Li, Guanxian Jiang, Chenhao Ma, Xiao Yan, Yu Mao, Ming-Chang Yang, James Cheng
2025 J jnl
Accelerating point cloud analytics on resource-constrained edge devices.
Comput. Networks
Jingzong Li, Yik Hong Cai, Libin Liu, Yu Mao, Chun Jason Xue, Hong Xu
2025 A* conf
DAWN: Accelerating Point Cloud Object Detection via Object-Aware Partitioning and 3D Similarity-Based Filtering.
DAC
Dongdong Tang, Yu Mao, Weilan Wang, Nan Guan, Tei-Wei Kuo, Chun Jason Xue
2025 A* conf
Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs.
DAC
Yu Mao, Jingzong Li, Jun Wang, Hong Xu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue
2025 J jnl
Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs.
CoRR
Yu Mao, Jingzong Li, Jun Wang, Hong Xu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue
2025 J jnl
Lossless Compression of Large Language Model-Generated Text via Next-Token Prediction.
CoRR
Yu Mao, Holger Pirk, Chun Jason Xue
2025 A* conf
WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression.
CVPR
Yu Mao, Jun Wang, Nan Guan, Chun Jason Xue
2025 J jnl
WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression.
CoRR
Yu Mao, Jun Wang, Nan Guan, Chun Jason Xue
2025 J jnl
When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models.
CoRR
Weilan Wang, Yu Mao, Dongdong Tang, Hongchao Du, Nan Guan, Chun Jason Xue
2024 J jnl
Advances in Multiple Instance Learning for Whole Slide Image Analysis: Techniques, Challenges, and Future Directions.
CoRR
Jun Wang, Yu Mao, Nan Guan, Chun Jason Xue
2024 J jnl
IHC Matters: Incorporating IHC analysis to H&E Whole Slide Image Analysis for Improved Cancer Grading via Two-stage Multimodal Bilinear Pooling Fusion.
CoRR
Jun Wang, Yu Mao, Yufei Cui, Nan Guan, Chun Jason Xue
2024 J jnl
On the Compressibility of Quantized Large Language Models.
CoRR
Yu Mao, Weilan Wang, Hongchao Du, Nan Guan, Chun Jason Xue
2024 J jnl
Pre-processing matters: A segment search method for WSI classification.
CoRR
Jun Wang, Yufei Cui, Yu Mao, Nan Guan, Chun Jason Xue
2024 J jnl
SHAP-CAT: A interpretable multi-modal framework enhancing WSI classification via virtual staining and shapley-value-based multimodal fusion.
CoRR
Jun Wang, Yu Mao, Nan Guan, Chun Jason Xue
2024 A* conf
STEM: Streaming-Based FPGA Acceleration for Large-Scale Compactions in LSM KV.
ICDE
Dongdong Tang, Weilan Wang, Yu Mao, Jinghuan Yu, Tei-Wei Kuo, Chun Jason Xue
2024 — conf
When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models.
EMNLP (Findings)
Weilan Wang, Yu Mao, Dongdong Tang, Hongchao Du, Nan Guan, Chun Jason Xue
2023 J jnl
2D-Empowered 3D Object Detection on the Edge.
CoRR
Jingzong Li, Yik Hong Cai, Libin Liu, Yu Mao, Chun Jason Xue, Hong Xu
2023 A* conf
Faster and Stronger Lossless Compression with Optimized Autoregressive Framework.
DAC
Yu Mao, Jingzong Li, Yufei Cui, Chun Jason Xue
2023 A* conf
Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge.
ACM Multimedia
Jingzong Li, Yik Hong Cai, Libin Liu, Yu Mao, Chun Jason Xue, Hong Xu
2023 J jnl
Variational Nested Dropout.
IEEE Trans. Pattern Anal. Mach. Intell.
Yufei Cui, Yu Mao, Ziquan Liu, Qiao Li, Antoni B. Chan, Xue (Steve) Liu, Tei-Wei Kuo, Chun Jason Xue
2022 J jnl
A Fast Transformer-based General-Purpose Lossless Compressor.
CoRR
Yu Mao, Yufei Cui, Tei-Wei Kuo, Chun Jason Xue
2022 A* conf
Accelerating General-purpose Lossless Compression via Simple and Scalable Parameterization.
ACM Multimedia
Yu Mao, Yufei Cui, Tei-Wei Kuo, Chun Jason Xue
2022 A* conf
TRACE: A Fast Transformer-based General-Purpose Lossless Compressor.
WWW
Yu Mao, Yufei Cui, Tei-Wei Kuo, Chun Jason Xue
2021 J jnl
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression.
CoRR
Yufei Cui, Ziquan Liu, Qiao Li, Yu Mao, Antoni B. Chan, Chun Jason Xue
2021 J jnl
The Implicit Biases of Stochastic Gradient Descent on Deep Neural Networks with Batch Normalization.
CoRR
Ziquan Liu, Yufei Cui, Jia Wan, Yu Mao, Antoni B. Chan