Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning. - Yudeng Lin; Qingtian Zhang; Bin Gao 006; Jianshi Tang; Peng Yao; Chongxuan Li; Shiyu Huang 001; Zhengwu Liu; Ying Zhou; Yuyi Liu; Wenqiang Zhang; Jun Zhu 001; et al. (Nat. Mac. Intell., 2023)

Transfer graph feature alignment guided multi-source domain adaptation network for machinery fault diagnosis. - Zhengwu Liu; Xiang Zhong; Haidong Shao; Shen Yan 001; Bin Liu 025 (Knowl. Based Syst., 2024)

Towards Robust RRAM-Based Vision Transformer Models with Noise-Aware Knowledge Distillation. - Wenyong Zhou; Zhengwu Liu; Taiqiang Wu; Chenchen Ding; Yuan Ren; Ngai Wong 001 (DATE, 2025)

Enhancing Robustness of Implicit Neural Representations Against Weight Perturbations. - Wenyong Zhou; Yuxin Cheng; Zhengwu Liu; Taiqiang Wu; Chen Zhang; Ngai Wong 001 (ICASSP, 2025)

MINR: Efficient Implicit Neural Representations for Multi-Image Encoding. - Wenyong Zhou; Taiqiang Wu; Zhengwu Liu; Yuxin Cheng; Chen Zhang; Ngai Wong 001 (ICASSP, 2025)

Graph structure learning guided multi-source-free domain adaptation for mechanical fault diagnosis. - Zhengwu Liu; Xiang Zhong; Haidong Shao; Bin Liu 025 (Adv. Eng. Informatics, 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 001 (CoRR, 2025)

Nonparametric Teaching for Graph Property Learners. - Chen Zhang; Weixin Bu; Zeyi Ren; Zhengwu Liu; Yik-Chung Wu; Ngai Wong 001 (CoRR, 2025)

Decomposing Densification in Gaussian Splatting for Faster 3D Scene Reconstruction. - Binxiao Huang; Zhengwu Liu; Ngai Wong 001 (CoRR, 2025)

Valence-Arousal Disentangled Representation Learning for Emotion Recognition in SSVEP-Based BCIs. - Yipeng Du; Jie Chen; Zhengwu Liu; Ngai Wong 001; Chi Zhang; Zhiwei Ding; Jian Liu 026; Edith C. H. Ngai (IEEE J. Biomed. Health Informatics, 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 001 (CoRR, 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, 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, 2025)

Distribution-Aware Hadamard Quantization for Hardware-Efficient Implicit Neural Representations. - Wenyong Zhou; Jiachen Ren; Taiqiang Wu; Yuxin Cheng; Zhengwu Liu; Ngai Wong 001 (CoRR, 2025)

QuadINR: Hardware-Efficient Implicit Neural Representations Through Quadratic Activation. - Wenyong Zhou; Boyu Li; Jiachen Ren; Taiqiang Wu; Zhilin Ai; Zhengwu Liu; Ngai Wong 001 (CoRR, 2025)