Zhengwu Liu - RankMe

34 papers A* 3A 2Misc 2Journal 25Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	A Unified Compute-In-Memory Framework for Multisensory Emotion Recognition. ASP-DAC He Xiao, Yue Zhou, Dirui Xie, Qi Cheng, Xiaofang Hu, Zhengwu Liu, Ngai Wong
2026	—	`conf`	Activation-Free Implicit Neural Representation via Finite-State-Machine Based Stochastic Computing. ASP-DAC Xincheng Feng, Wenyong Zhou, Taiqiang Wu, Meng Li, Zhengwu Liu, Ngai Wong
2026	J	`jnl`	Binary Weight Multibit Activation Quantization for Compute-in-Memory CNN Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Wenyong Zhou, Zhengwu Liu, Yuan Ren, Ngai Wong
2026	J	`jnl`	Can We Trust LLMs on Memristors? Diving into Reasoning Ability under Non-Ideality. CoRR Taiqiang Wu, Yuxin Cheng, Chenchen Ding, Runming Yang, Xincheng Feng, Wenyong Zhou, Zhengwu Liu, Ngai Wong
2026	J	`jnl`	Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models. CoRR 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
2026	J	`jnl`	PPD: A Portable and Highly Parallel Dispatching System for Deep Learning. ACM Trans. Design Autom. Electr. Syst. Wendong Xu, Yuhao Ji, Yang Bai, Yueting Li, Yuxuan Zhao, Zhengwu Liu, Bei Yu, Ngai Wong
2026	J	`jnl`	XStreamVGGT: Extremely Memory-Efficient Streaming Vision Geometry Grounded Transformer with KV Cache Compression. CoRR Zunhai Su, Weihao Ye, Hansen Feng, Keyu Fan, Jing Zhang, Dahai Yu, Zhengwu Liu, Ngai Wong
2026	J	`jnl`	XStreamVGGT: Extremely Memory-Efficient Streaming Vision Geometry Grounded Transformer with KV Cache Compression. CoRR Zunhai Su, Weihao Ye, Hansen Feng, Keyu Fan, Jing Zhang, Dahai Yu, Zhengwu Liu, Ngai Wong
2025	J	`jnl`	Binary Weight Multi-Bit Activation Quantization for Compute-in-Memory CNN Accelerators. CoRR Wenyong Zhou, Zhengwu Liu, Yuan Ren, Ngai Wong
2025	J	`jnl`	Decomposing Densification in Gaussian Splatting for Faster 3D Scene Reconstruction. CoRR Binxiao Huang, Zhengwu Liu, Ngai Wong
2025	A	`conf`	Distribution-Aware Hadamard Quantization for Hardware-Efficient Implicit Neural Representations. ICME Wenyong Zhou, Jiachen Ren, Taiqiang Wu, Yuxin Cheng, Zhengwu Liu, Ngai Wong
2025	J	`jnl`	Distribution-Aware Hadamard Quantization for Hardware-Efficient Implicit Neural Representations. CoRR Wenyong Zhou, Jiachen Ren, Taiqiang Wu, Yuxin Cheng, Zhengwu Liu, Ngai Wong
2025	Misc	`conf`	Enhancing Robustness of Implicit Neural Representations Against Weight Perturbations. ICASSP Wenyong Zhou, Yuxin Cheng, Zhengwu Liu, Taiqiang Wu, Chen Zhang, Ngai Wong
2025	J	`jnl`	Enhancing Robustness of Implicit Neural Representations Against Weight Perturbations. CoRR Wenyong Zhou, Yuxin Cheng, Zhengwu Liu, Taiqiang Wu, Chen Zhang, Ngai Wong
2025	J	`jnl`	Exploring Layer-wise Information Effectiveness for Post-Training Quantization in Small Language Models. CoRR He Xiao, Qingyao Yang, Dirui Xie, Wendong Xu, Wenyong Zhou, Haobo Liu, Zhengwu Liu, Ngai Wong
2025	J	`jnl`	Extending Straight-Through Estimation for Robust Neural Networks on Analog CIM Hardware. CoRR Yuannuo Feng, Wenyong Zhou, Yuexi Lyu, Yixiang Zhang, Zhengwu Liu, Ngai Wong, Wang Kang
2025	J	`jnl`	Graph structure learning guided multi-source-free domain adaptation for mechanical fault diagnosis. Adv. Eng. Informatics Zhengwu Liu, Xiang Zhong, Haidong Shao, Bin Liu
2025	J	`jnl`	HPD: Hybrid Projection Decomposition for Robust State Space Models on Analog CIM Hardware. CoRR Yuannuo Feng, Wenyong Zhou, Yuexi Lyu, Hanjie Liu, Zhengwu Liu, Ngai Wong, Wang Kang
2025	J	`jnl`	HaLoRA: Hardware-aware Low-Rank Adaptation for Large Language Models Based on Hybrid Compute-in-Memory Architecture. CoRR Taiqiang Wu, Chenchen Ding, Wenyong Zhou, Yuxin Cheng, Xincheng Feng, Shuqi Wang, Chufan Shi, Zhengwu Liu, Ngai Wong
2025	Misc	`conf`	MINR: Efficient Implicit Neural Representations for Multi-Image Encoding. ICASSP Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Yuxin Cheng, Chen Zhang, Ngai Wong
2025	J	`jnl`	MINR: Efficient Implicit Neural Representations for Multi-Image Encoding. CoRR Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Yuxin Cheng, Chen Zhang, Ngai Wong
2025	A*	`conf`	NoiseZO: RRAM Noise-Driven Zeroth-Order Optimization for Efficient Forward-Only Training. DAC Shuqi Wang, Zhengwu Liu, Chenchen Ding, Chen Zhang, Taiqiang Wu, Jiajun Zhou, Ngai Wong
2025	A*	`conf`	Nonparametric Teaching for Graph Property Learners. ICML Chen Zhang, Weixin Bu, Zeyi Ren, Zhengwu Liu, Yik-Chung Wu, Ngai Wong
2025	J	`jnl`	Nonparametric Teaching for Graph Property Learners. CoRR Chen Zhang, Weixin Bu, Zeyi Ren, Zhengwu Liu, Yik-Chung Wu, Ngai Wong
2025	J	`jnl`	PTQTP: Post-Training Quantization to Trit-Planes for Large Language Models. CoRR He Xiao, Runming Yang, Qingyao Yang, Wendong Xu, Zheng Li, Yupeng Su, Zhengwu Liu, Hongxia Yang, Ngai Wong
2025	J	`jnl`	Perspective-aware 3D Gaussian Inpainting with Multi-view Consistency. CoRR Yuxin Cheng, Binxiao Huang, Taiqiang Wu, Wenyong Zhou, Chenchen Ding, Zhengwu Liu, Graziano Chesi, Ngai Wong
2025	J	`jnl`	QuadINR: Hardware-Efficient Implicit Neural Representations Through Quadratic Activation. CoRR Wenyong Zhou, Boyu Li, Jiachen Ren, Taiqiang Wu, Zhilin Ai, Zhengwu Liu, Ngai Wong
2025	J	`jnl`	QuadINR: Hardware-Efficient Implicit Neural Representations Through Quadratic Activation. IEEE Trans. Circuits Syst. II Express Briefs Wenyong Zhou, Boyu Li, Jiachen Ren, Taiqiang Wu, Zhilin Ai, Zhengwu Liu, Ngai Wong
2025	A*	`conf`	Re-Activating Frozen Primitives for 3D Gaussian Splatting. ACM Multimedia Yuxin Cheng, Binxiao Huang, Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Graziano Chesi, Ngai Wong
2025	J	`jnl`	Re-Activating Frozen Primitives for 3D Gaussian Splatting. CoRR Yuxin Cheng, Binxiao Huang, Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Graziano Chesi, Ngai Wong
2025	A	`conf`	Towards Robust RRAM-Based Vision Transformer Models with Noise-Aware Knowledge Distillation. DATE Wenyong Zhou, Zhengwu Liu, Taiqiang Wu, Chenchen Ding, Yuan Ren, Ngai Wong
2025	J	`jnl`	Valence-Arousal Disentangled Representation Learning for Emotion Recognition in SSVEP-Based BCIs. IEEE J. Biomed. Health Informatics Yipeng Du, Jie Chen, Zhengwu Liu, Ngai Wong, Chi Zhang, Zhiwei Ding, Jian Liu, Edith C. H. Ngai
2024	J	`jnl`	Transfer graph feature alignment guided multi-source domain adaptation network for machinery fault diagnosis. Knowl. Based Syst. Zhengwu Liu, Xiang Zhong, Haidong Shao, Shen Yan, Bin Liu
2023	J	`jnl`	Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning. Nat. Mac. Intell. 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