Zhengwu Liu

According to our database, Zhengwu Liu authored at least 15 papers between 2023 and 2025.

Collaborative distances:

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

2025

QuadINR: Hardware-Efficient Implicit Neural Representations Through Quadratic Activation.

Wenyong Zhou, Boyu Li, Jiachen Ren, Taiqiang Wu, Zhilin Ai, Zhengwu Liu, Ngai Wong

CoRR, August, 2025

Distribution-Aware Hadamard Quantization for Hardware-Efficient Implicit Neural Representations.

Wenyong Zhou, Jiachen Ren, Taiqiang Wu, Yuxin Cheng, Zhengwu Liu, Ngai Wong

CoRR, August, 2025

Extending Straight-Through Estimation for Robust Neural Networks on Analog CIM Hardware.

Yuannuo Feng, Wenyong Zhou, Yuexi Lyu, Yixiang Zhang, Zhengwu Liu, Ngai Wong, Wang Kang

CoRR, August, 2025

HPD: Hybrid Projection Decomposition for Robust State Space Models on Analog CIM Hardware.

Yuannuo Feng, Wenyong Zhou, Yuexi Lyu, Hanjie Liu, Zhengwu Liu, Ngai Wong, Wang Kang

CoRR, August, 2025

Exploring Layer-wise Information Effectiveness for Post-Training Quantization in Small Language Models.

He Xiao, Qingyao Yang, Dirui Xie, Wendong Xu, Wenyong Zhou, Haobo Liu, Zhengwu Liu, Ngai Wong

CoRR, August, 2025

Valence-Arousal Disentangled Representation Learning for Emotion Recognition in SSVEP-Based BCIs.

Yipeng Du, Jie Chen, Zhengwu Liu, Ngai Wong, Chi Zhang, Zhiwei Ding, Jian Liu, Edith C. H. Ngai

IEEE J. Biomed. Health Informatics, July, 2025

Decomposing Densification in Gaussian Splatting for Faster 3D Scene Reconstruction.

Binxiao Huang, Zhengwu Liu, Ngai Wong

CoRR, July, 2025

Nonparametric Teaching for Graph Property Learners.

Chen Zhang, Weixin Bu, Zeyi Ren, Zhengwu Liu, Yik-Chung Wu, Ngai Wong

CoRR, May, 2025

HaLoRA: Hardware-aware Low-Rank Adaptation for Large Language Models Based on Hybrid Compute-in-Memory Architecture.

Taiqiang Wu, Chenchen Ding, Wenyong Zhou, Yuxin Cheng, Xincheng Feng, Shuqi Wang, Chufan Shi, Zhengwu Liu, Ngai Wong

CoRR, February, 2025

Graph structure learning guided multi-source-free domain adaptation for mechanical fault diagnosis.

Zhengwu Liu, Xiang Zhong, Haidong Shao, Bin Liu

Adv. Eng. Informatics, 2025

MINR: Efficient Implicit Neural Representations for Multi-Image Encoding.

Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Yuxin Cheng, Chen Zhang, Ngai Wong

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Enhancing Robustness of Implicit Neural Representations Against Weight Perturbations.

Wenyong Zhou, Yuxin Cheng, Zhengwu Liu, Taiqiang Wu, Chen Zhang, Ngai Wong

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Towards Robust RRAM-Based Vision Transformer Models with Noise-Aware Knowledge Distillation.

Wenyong Zhou, Zhengwu Liu, Taiqiang Wu, Chenchen Ding, Yuan Ren, Ngai Wong

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

Transfer graph feature alignment guided multi-source domain adaptation network for machinery fault diagnosis.

Zhengwu Liu, Xiang Zhong, Haidong Shao, Shen Yan, Bin Liu

Knowl. Based Syst., 2024

2023

Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning.

Yudeng Lin, Qingtian Zhang, Bin Gao, Jianshi Tang, Peng Yao, Chongxuan Li, Shiyu Huang, Zhengwu Liu, Ying Zhou, Yuyi Liu, Wenqiang Zhang, Jun Zhu, He Qian, Huaqiang Wu

Nat. Mac. Intell., July, 2023