Zhaode Wang

According to our database, Zhaode Wang authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MobileKernelBench: Can LLMs Write Efficient Kernels for Mobile Devices?

Xingze Zou, Jing Wang, Yuhua Zheng, Xueyi Chen, Haolei Bai, Lingcheng Kong, Syed A. R. Abu-Bakar, Zhaode Wang, Chengfei Lv, Haoji Hu, Huan Wang

CoRR, March, 2026

AccKV: Towards Efficient Audio-Video LLMs Inference via Adaptive-Focusing and Cross-Calibration KV Cache Optimization.

Zhonghua Jiang, Kui Chen, Kunxi Li, Keting Yin, Yiyun Zhou, Zhaode Wang, Chengfei Lv, Shengyu Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

FlowMM: Cross-Modal Information Flow Guided KV Cache Merging for Efficient Multimodal Context Inference.

Kunxi Li, Yufan Xiong, Zhonghua Jiang, Yiyun Zhou, Zhaode Wang, Chengfei Lv, Shengyu Zhang

CoRR, November, 2025

PureKV: Plug-and-Play KV Cache Optimization with Spatial-Temporal Sparse Attention for Vision-Language Large Models.

Zhonghua Jiang, Kunxi Li, Yiyun Zhou, Sihao Liu, Zhaode Wang, Chengfei lv, Shengyu Zhang

CoRR, October, 2025

MNN-AECS: Energy Optimization for LLM Decoding on Mobile Devices via Adaptive Core Selection.

Zhengxiang Huang, Chaoyue Niu, Zhaode Wang, Jiarui Xue, Hanming Zhang, Yugang Wang, Zewei Xin, Xiaotang Jiang, Chengfei Lv, Fan Wu, Guihai Chen

CoRR, June, 2025

MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference.

Kunxi Li, Zhonghua Jiang, Zhouzhou Shen, Zhaode Wang, Chengfei Lv, Shengyu Zhang, Fan Wu, Fei Wu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices.

Zhaode Wang, Jingbang Yang, Xinyu Qian, Shiwen Xing, Xiaotang Jiang, Chengfei Lv, Shengyu Zhang

Proceedings of the 6th ACM International Conference on Multimedia in Asia, Workshops, 2024

2022

Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning.

Chengfei Lv, Chaoyue Niu, Renjie Gu, Xiaotang Jiang, Zhaode Wang, Bin Liu, Ziqi Wu, Qiulin Yao, Congyu Huang, Panos Huang, Tao Huang, Hui Shu, Jinde Song, Bin Zou, Peng Lan, Guohuan Xu, Fei Wu, Shaojie Tang, Fan Wu, Guihai Chen

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022