Zhengwu Liu

According to our database, Zhengwu Liu authored at least 27 papers between 2023 and 2026.

Collaborative distances:

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

2026

PPD: A Portable and Highly Parallel Dispatching System for Deep Learning.

Wendong Xu, Yuhao Ji, Yang Bai, Yueting Li, Yuxuan Zhao, Zhengwu Liu, Bei Yu, Ngai Wong

ACM Trans. Design Autom. Electr. Syst., March, 2026

Binary Weight Multibit Activation Quantization for Compute-in-Memory CNN Accelerators.

Wenyong Zhou, Zhengwu Liu, Yuan Ren, Ngai Wong

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2026

Can We Trust LLMs on Memristors? Diving into Reasoning Ability under Non-Ideality.

Taiqiang Wu, Yuxin Cheng, Chenchen Ding, Runming Yang, Xincheng Feng, Wenyong Zhou, Zhengwu Liu, Ngai Wong

CoRR, March, 2026

XStreamVGGT: Extremely Memory-Efficient Streaming Vision Geometry Grounded Transformer with KV Cache Compression.

Zunhai Su, Weihao Ye, Hansen Feng, Keyu Fan, Jing Zhang, Dahai Yu, Zhengwu Liu, Ngai Wong

CoRR, February, 2026

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models.

Hengyuan Zhang, Zhihao Zhang, Mingyang Wang, Zunhai Su, Yiwei Wang, Qianli Wang, Shuzhou Yuan, Ercong Nie, Xufeng Duan, Qibo Xue, Zeping Yu, Chenming Shang, Xiao Liang, Jing Xiong, Hui Shen, Chaofan Tao, Zhengwu Liu, Senjie Jin, Zhiheng Xi, Dongdong Zhang, Sophia Ananiadou, Tao Gui, Ruobing Xie, Hayden Kwok-Hay So, Hinrich Schütze, Xuanjing Huang, Qi Zhang, Ngai Wong

CoRR, January, 2026

A Unified Compute-In-Memory Framework for Multisensory Emotion Recognition.

He Xiao, Yue Zhou, Dirui Xie, Qi Cheng, Xiaofang Hu, Zhengwu Liu, Ngai Wong

Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

Activation-Free Implicit Neural Representation via Finite-State-Machine Based Stochastic Computing.

Xincheng Feng, Wenyong Zhou, Taiqiang Wu, Meng Li, Zhengwu Liu, Ngai Wong

Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

2025

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

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

IEEE Trans. Circuits Syst. II Express Briefs, November, 2025

PTQTP: Post-Training Quantization to Trit-Planes for Large Language Models.

He Xiao, Runming Yang, Qingyao Yang, Wendong Xu, Zheng Li, Yupeng Su, Zhengwu Liu, Hongxia Yang, Ngai Wong

CoRR, September, 2025

Binary Weight Multi-Bit Activation Quantization for Compute-in-Memory CNN Accelerators.

Wenyong Zhou, Zhengwu Liu, Yuan Ren, 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

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

Re-Activating Frozen Primitives for 3D Gaussian Splatting.

Yuxin Cheng, Binxiao Huang, Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Graziano Chesi, Ngai Wong

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Nonparametric Teaching for Graph Property Learners.

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

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

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Perspective-Aware 3D Gaussian Inpainting with Multi-View Consistency.

Yuxin Cheng, Binxiao Huang, Taiqiang Wu, Wenyong Zhou, Chenchen Ding, Zhengwu Liu, Graziano Chesi, Ngai Wong

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

NoiseZO: RRAM Noise-Driven Zeroth-Order Optimization for Efficient Forward-Only Training.

Shuqi Wang, Zhengwu Liu, Chenchen Ding, Chen Zhang, Taiqiang Wu, Jiajun Zhou, Ngai Wong

Proceedings of the 62nd ACM/IEEE Design Automation 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