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ORCIDZhengwu Liu
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2020 – today
- 2025
[j5]Zhengwu Liu, Xiang Zhong, Haidong Shao, Bin Liu:
Graph structure learning guided multi-source-free domain adaptation for mechanical fault diagnosis. Adv. Eng. Informatics 68: 103769 (2025)- [j4]Wenyong Zhou
, Boyu Li, Jiachen Ren, Taiqiang Wu, Zhilin Ai, Zhengwu Liu, Ngai Wong:
QuadINR: Hardware-Efficient Implicit Neural Representations Through Quadratic Activation. IEEE Trans. Circuits Syst. II Express Briefs 72(11): 1600-1604 (2025) - [j3]Yipeng Du, Jie Chen, Zhengwu Liu, Ngai Wong, Chi Zhang, Zhiwei Ding, Jian Liu, Edith C. H. Ngai:
Valence-Arousal Disentangled Representation Learning for Emotion Recognition in SSVEP-Based BCIs. IEEE J. Biomed. Health Informatics 29(7): 4820-4833 (2025) - [c6]Shuqi Wang, Zhengwu Liu, Chenchen Ding, Chen Zhang, Taiqiang Wu, Jiajun Zhou, Ngai Wong:
NoiseZO: RRAM Noise-Driven Zeroth-Order Optimization for Efficient Forward-Only Training. DAC 2025: 1-7 - [c5]Wenyong Zhou, Zhengwu Liu, Taiqiang Wu, Chenchen Ding, Yuan Ren, Ngai Wong:
Towards Robust RRAM-Based Vision Transformer Models with Noise-Aware Knowledge Distillation. DATE 2025: 1-2 - [c4]Wenyong Zhou, Yuxin Cheng, Zhengwu Liu, Taiqiang Wu, Chen Zhang, Ngai Wong:
Enhancing Robustness of Implicit Neural Representations Against Weight Perturbations. ICASSP 2025: 1-5 - [c3]Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Yuxin Cheng, Chen Zhang, Ngai Wong:
MINR: Efficient Implicit Neural Representations for Multi-Image Encoding. ICASSP 2025: 1-5 - [c2]Wenyong Zhou, Jiachen Ren, Taiqiang Wu, Yuxin Cheng, Zhengwu Liu, Ngai Wong:
Distribution-Aware Hadamard Quantization for Hardware-Efficient Implicit Neural Representations. ICME 2025: 1-6 - [c1]Chen Zhang, Weixin Bu, Zeyi Ren, Zhengwu Liu, Yik-Chung Wu, Ngai Wong:
Nonparametric Teaching for Graph Property Learners. ICML 2025 - [i14]Taiqiang Wu, Chenchen Ding, Wenyong Zhou, Yuxin Cheng, Xincheng Feng, Shuqi Wang, Chufan Shi, Zhengwu Liu, Ngai Wong:
HaLoRA: Hardware-aware Low-Rank Adaptation for Large Language Models Based on Hybrid Compute-in-Memory Architecture. CoRR abs/2502.19747 (2025) - [i13]Chen Zhang, Weixin Bu, Zeyi Ren, Zhengwu Liu, Yik-Chung Wu, Ngai Wong:
Nonparametric Teaching for Graph Property Learners. CoRR abs/2505.14170 (2025) - [i12]Binxiao Huang, Zhengwu Liu, Ngai Wong:
Decomposing Densification in Gaussian Splatting for Faster 3D Scene Reconstruction. CoRR abs/2507.20239 (2025) - [i11]He Xiao, Qingyao Yang, Dirui Xie, Wendong Xu, Wenyong Zhou, Haobo Liu, Zhengwu Liu, Ngai Wong:
Exploring Layer-wise Information Effectiveness for Post-Training Quantization in Small Language Models. CoRR abs/2508.03332 (2025) - [i10]Yuannuo Feng, Wenyong Zhou, Yuexi Lyu, Hanjie Liu, Zhengwu Liu, Ngai Wong, Wang Kang:
HPD: Hybrid Projection Decomposition for Robust State Space Models on Analog CIM Hardware. CoRR abs/2508.11935 (2025) - [i9]Yuannuo Feng, Wenyong Zhou, Yuexi Lyu, Yixiang Zhang, Zhengwu Liu, Ngai Wong, Wang Kang:
Extending Straight-Through Estimation for Robust Neural Networks on Analog CIM Hardware. CoRR abs/2508.11940 (2025) - [i8]Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Yuxin Cheng, Chen Zhang, Ngai Wong:
MINR: Efficient Implicit Neural Representations for Multi-Image Encoding. CoRR abs/2508.13471 (2025) - [i7]Wenyong Zhou, Jiachen Ren, Taiqiang Wu, Yuxin Cheng, Zhengwu Liu, Ngai Wong:
Distribution-Aware Hadamard Quantization for Hardware-Efficient Implicit Neural Representations. CoRR abs/2508.13478 (2025) - [i6]Wenyong Zhou, Yuxin Cheng, Zhengwu Liu, Taiqiang Wu, Chen Zhang, Ngai Wong:
Enhancing Robustness of Implicit Neural Representations Against Weight Perturbations. CoRR abs/2508.13481 (2025) - [i5]Wenyong Zhou, Boyu Li, Jiachen Ren, Taiqiang Wu, Zhilin Ai, Zhengwu Liu, Ngai Wong:
QuadINR: Hardware-Efficient Implicit Neural Representations Through Quadratic Activation. CoRR abs/2508.14374 (2025) - [i4]Wenyong Zhou, Zhengwu Liu, Yuan Ren, Ngai Wong:
Binary Weight Multi-Bit Activation Quantization for Compute-in-Memory CNN Accelerators. CoRR abs/2508.21524 (2025) - [i3]He Xiao, Runming Yang, Qingyao Yang, Wendong Xu, Zheng Li, Yupeng Su, Zhengwu Liu, Hongxia Yang, Ngai Wong:
PTQTP: Post-Training Quantization to Trit-Planes for Large Language Models. CoRR abs/2509.16989 (2025) - [i2]Yuxin Cheng, Binxiao Huang, Taiqiang Wu, Wenyong Zhou, Chenchen Ding, Zhengwu Liu, Graziano Chesi, Ngai Wong:
Perspective-aware 3D Gaussian Inpainting with Multi-view Consistency. CoRR abs/2510.10993 (2025) - [i1]Yuxin Cheng, Binxiao Huang, Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Graziano Chesi, Ngai Wong:
Re-Activating Frozen Primitives for 3D Gaussian Splatting. CoRR abs/2510.19653 (2025) - 2024
- [j2]Zhengwu Liu, Xiang Zhong, Haidong Shao, Shen Yan, Bin Liu:
Transfer graph feature alignment guided multi-source domain adaptation network for machinery fault diagnosis. Knowl. Based Syst. 305: 112606 (2024) - 2023
- [j1]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:
Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning. Nat. Mac. Intell. 5(7): 714-723 (2023)
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