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ORCIDZiming Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j38]Ziming Liu, Eric Gan, Max Tegmark
:
Seeing Is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability. Entropy 26(1): 41 (2024)- [j37]Fushuo Huo, Ziming Liu, Jingcai Guo, Wenchao Xu, Song Guo:
UTDNet: A unified triplet decoder network for multimodal salient object detection. Neural Networks 170: 521-534 (2024) - [j36]Ziming Liu, Ezio Malis, Philippe Martinet:
Adaptive Learning for Hybrid Visual Odometry. IEEE Robotics Autom. Lett. 9(8): 7341-7348 (2024) - [j35]Ziming Liu, Bonan Huang, Yushuai Li, Qiuye Sun, Torben Bach Pedersen, David Wenzhong Gao:
Pricing Game and Blockchain for Electricity Data Trading in Low-Carbon Smart Energy Systems. IEEE Trans. Ind. Informatics 20(4): 6446-6456 (2024) - [j34]Ziming Liu, Bonan Huang, Xuguang Hu, Pengbo Du, Qiuye Sun:
Blockchain-Based Renewable Energy Trading Using Information Entropy Theory. IEEE Trans. Netw. Sci. Eng. 11(6): 5564-5575 (2024) - [c42]Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu:
ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning. AAAI 2024: 12689-12697 - [c41]Tao Chen, Minxing Li, Ziming Liu:
The Joint Grid-Free DOA and Polarization Estimation Algorithm based on Atomic Norm Minimization. ICASSP 2024: 21-25 - [c40]Tao Chen, Ziming Liu, Lei Zhan:
ANM-Based Source Localization Under Mixed Field. ICASSP 2024: 96-100 - [c39]Ziming Liu, Ezio Malis, Philippe Martinet:
One-Stage Deep Stereo Network. ICASSP 2024: 3050-3054 - [c38]Jiewei Zhang, Song Guo, Peiran Dong, Jie Zhang, Ziming Liu, Yue Yu, Xiao-Ming Wu:
Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring. ICML 2024 - [c37]Jingcai Guo, Qihua Zhou, Xiaocheng Lu, Ruibin Li, Ziming Liu, Jie Zhang, Bo Han, Junyang Chen, Xin Xie, Song Guo:
ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. IJCAI 2024: 4062-4070 - [c36]Xuanlei Zhao, Bin Jia, Haotian Zhou, Ziming Liu, Shenggan Cheng, Yang You:
HeteGen: Efficient Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices. MLSys 2024 - [i59]Xuanlei Zhao, Shenggan Cheng, Guangyang Lu, Jiarui Fang, Haotian Zhou, Bin Jia, Ziming Liu, Yang You:
AutoChunk: Automated Activation Chunk for Memory-Efficient Long Sequence Inference. CoRR abs/2401.10652 (2024) - [i58]Qiyao Liang, Ziming Liu, Ila Fiete:
Do Diffusion Models Learn Semantically Meaningful and Efficient Representations? CoRR abs/2402.03305 (2024) - [i57]Eric J. Michaud, Isaac Liao, Vedang Lad, Ziming Liu, Anish Mudide, Chloe Loughridge, Zifan Carl Guo, Tara Rezaei Kheirkhah, Mateja Vukelic, Max Tegmark:
Opening the AI black box: program synthesis via mechanistic interpretability. CoRR abs/2402.05110 (2024) - [i56]Jinyeop Song, Ziming Liu, Max Tegmark, Jeff Gore:
A Resource Model For Neural Scaling Law. CoRR abs/2402.05164 (2024) - [i55]David D. Baek, Ziming Liu, Max Tegmark:
GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theory. CoRR abs/2402.05916 (2024) - [i54]Xuanlei Zhao, Bin Jia, Haotian Zhou, Ziming Liu, Shenggan Cheng, Yang You:
HeteGen: Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices. CoRR abs/2403.01164 (2024) - [i53]Xuanlei Zhao, Shenggan Cheng, Zangwei Zheng, Zheming Yang, Ziming Liu, Yang You:
DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers. CoRR abs/2403.10266 (2024) - [i52]Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljacic, Thomas Y. Hou, Max Tegmark:
KAN: Kolmogorov-Arnold Networks. CoRR abs/2404.19756 (2024) - [i51]Subhash Kantamneni, Ziming Liu, Max Tegmark:
OptPDE: Discovering Novel Integrable Systems via AI-Human Collaboration. CoRR abs/2405.04484 (2024) - [i50]Subhash Kantamneni, Ziming Liu, Max Tegmark:
How Do Transformers "Do" Physics? Investigating the Simple Harmonic Oscillator. CoRR abs/2405.17209 (2024) - [i49]Xiaoman Delores Ding, Zifan Carl Guo, Eric J. Michaud, Ziming Liu, Max Tegmark:
Survival of the Fittest Representation: A Case Study with Modular Addition. CoRR abs/2405.17420 (2024) - [i48]Ziming Liu, Longjian Liu, Robert E. Heidel, Xiaopeng Zhao:
Exploring Nutritional Impact on Alzheimer's Mortality: An Explainable AI Approach. CoRR abs/2405.17502 (2024) - [i47]Tyler Morris, Ziming Liu, Longjian Liu, Xiaopeng Zhao:
Using a Convolutional Neural Network and Explainable AI to Diagnose Dementia Based on MRI Scans. CoRR abs/2406.18555 (2024) - [i46]Ziming Liu, Shaoyu Wang, Shenggan Cheng, Zhongkai Zhao, Xuanlei Zhao, James Demmel, Yang You:
WallFacer: Guiding Transformer Model Training Out of the Long-Context Dark Forest with N-body Problem. CoRR abs/2407.00611 (2024) - [i45]Ziming Liu, Pingchuan Ma, Yixuan Wang, Wojciech Matusik, Max Tegmark:
KAN 2.0: Kolmogorov-Arnold Networks Meet Science. CoRR abs/2408.10205 (2024) - [i44]Ziming Liu, Jingcai Guo, Song Guo, Xiaocheng Lu:
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning. CoRR abs/2408.12253 (2024) - [i43]Qiyao Liang, Ziming Liu, Mitchell Ostrow, Ila Fiete:
How Diffusion Models Learn to Factorize and Compose. CoRR abs/2408.13256 (2024) - [i42]Jiuyi Xu, Tolulope Sanni, Ziming Liu, Ye Yang, Jiyoung Lee, Wei Song, Yangming Shi:
To Shelter or Not To Shelter: Exploring the Influence of Different Modalities in Virtual Reality on Individuals' Tornado Mitigation Behaviors. CoRR abs/2409.09205 (2024) - [i41]Yixuan Wang, Jonathan W. Siegel, Ziming Liu, Thomas Y. Hou:
On the expressiveness and spectral bias of KANs. CoRR abs/2410.01803 (2024) - 2023
- [j33]Eric J. Michaud, Ziming Liu, Max Tegmark:
Precision Machine Learning. Entropy 25(1): 175 (2023) - [j32]Ziming Liu, Rui Hu, Xiaojun Bi:
The effects of social media addiction on reading practice: a survey of undergraduate students in China. J. Documentation 79(3): 670-682 (2023) - [j31]Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik:
Scientific discovery in the age of artificial intelligence. Nat. 620(7972): 47-60 (2023) - [j30]Guangyu Gao, Ziming Liu, Guangjun Zhang, Jinyang Li, A. Kai Qin:
DANet: Semi-supervised differentiated auxiliaries guided network for video action recognition. Neural Networks 158: 121-131 (2023) - [j29]Nardi Utomo, Boon Chiat Terence Teo, Xian Yang Lim, Venkadasamy Navaneethan, Ziming Liu, Chong Boon Tan, Liter Siek:
An 85.1% Peak Efficiency, Low Power Class H Audio Amplifier With Full Class H Operation. IEEE Trans. Circuits Syst. I Regul. Pap. 70(12): 4692-4704 (2023) - [j28]Ziming Liu, Song Guo, Jingcai Guo, Yuanyuan Xu, Fushuo Huo:
Towards Unbiased Multi-Label Zero-Shot Learning With Pyramid and Semantic Attention. IEEE Trans. Multim. 25: 7441-7455 (2023) - [j27]Qian Zhao, Jun Shu, Xiang Yuan, Ziming Liu, Deyu Meng:
A Probabilistic Formulation for Meta-Weight-Net. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1194-1208 (2023) - [j26]Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu:
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. IEEE Trans. Parallel Distributed Syst. 34(5): 1548-1559 (2023) - [c35]Jingcai Guo, Song Guo, Qihua Zhou, Ziming Liu, Xiaocheng Lu, Fushuo Huo:
Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition. AAAI 2023: 7775-7783 - [c34]Ziming Liu, Muskan Garg, Sunyang Fu, Surjodeep Sarkar, Maria Vassilaki, Ronald C. Petersen, Jennifer St. Sauver, Sunghwan Sohn:
Harnessing Transfer Learning for Dementia Prediction: Leveraging Sex-Different Mild Cognitive Impairment Prognosis. BIBM 2023: 2097-2100 - [c33]Ziming Liu, Wang Ling Goh, Liter Siek, Yuan Gao:
A Battery-input Hysteretic Buck Converter with 430nA Quiescent Current and 5×104 Load Current Dynamic Range for Wearable Biomedical Devices. BioCAS 2023: 1-5 - [c32]Xiaocheng Lu, Song Guo, Ziming Liu, Jingcai Guo:
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning. CVPR 2023: 23560-23569 - [c31]Ziming Liu, Song Guo, Xiaocheng Lu, Jingcai Guo, Jiewei Zhang, Yue Zeng, Fushuo Huo:
(ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning. CVPR 2023: 23859-23868 - [c30]Ziming Liu, Eric J. Michaud, Max Tegmark:
Omnigrok: Grokking Beyond Algorithmic Data. ICLR 2023 - [c29]Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao:
Anchor Sampling for Federated Learning with Partial Client Participation. ICML 2023: 37379-37416 - [c28]Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi S. Jaakkola:
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models. ICML 2023: 38566-38591 - [c27]Ziming Liu, Ezio Malis, Philippe Martinet:
Multi-Masks Generation for Increasing Robustness of Dense Direct Methods. ITSC 2023: 100-106 - [c26]Peiran Dong, Song Guo, Junxiao Wang, Bingjie Wang, Jiewei Zhang, Ziming Liu:
Towards Test-Time Refusals via Concept Negation. NeurIPS 2023 - [c25]Eric J. Michaud, Ziming Liu, Uzay Girit, Max Tegmark:
The Quantization Model of Neural Scaling. NeurIPS 2023 - [c24]Yilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi S. Jaakkola:
Restart Sampling for Improving Generative Processes. NeurIPS 2023 - [c23]Ziqian Zhong, Ziming Liu, Max Tegmark, Jacob Andreas:
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks. NeurIPS 2023 - [c22]Ziming Liu, Shenggan Cheng, Haotian Zhou, Yang You:
Hanayo: Harnessing Wave-like Pipeline Parallelism for Enhanced Large Model Training Efficiency. SC 2023: 56:1-56:13 - [i40]Shenggan Cheng, Ziming Liu, Jiangsu Du, Yang You:
ATP: Adaptive Tensor Parallelism for Foundation Models. CoRR abs/2301.08658 (2023) - [i39]Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi S. Jaakkola:
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models. CoRR abs/2302.04265 (2023) - [i38]Eric J. Michaud, Ziming Liu, Uzay Girit, Max Tegmark:
The Quantization Model of Neural Scaling. CoRR abs/2303.13506 (2023) - [i37]Ziming Liu, Di Luo, Yilun Xu, Tommi S. Jaakkola, Max Tegmark:
GenPhys: From Physical Processes to Generative Models. CoRR abs/2304.02637 (2023) - [i36]Xiaocheng Lu, Ziming Liu, Song Guo, Jingcai Guo, Fushuo Huo, Sikai Bai, Tao Han:
DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning. CoRR abs/2305.01239 (2023) - [i35]Ziming Liu, Eric Gan, Max Tegmark:
Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability. CoRR abs/2305.08746 (2023) - [i34]Ziming Liu, Patrick Obin Sturm, Saketh Bharadwaj, Sam Silva, Max Tegmark:
Discovering New Interpretable Conservation Laws as Sparse Invariants. CoRR abs/2305.19525 (2023) - [i33]Yilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi S. Jaakkola:
Restart Sampling for Improving Generative Processes. CoRR abs/2306.14878 (2023) - [i32]Ziqian Zhong, Ziming Liu, Max Tegmark, Jacob Andreas:
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks. CoRR abs/2306.17844 (2023) - [i31]Ziming Liu, Shenggan Cheng, Haotian Zhou, Yang You:
Hanayo: Harnessing Wave-like Pipeline Parallelism for Enhanced Large Model Training Efficiency. CoRR abs/2308.15762 (2023) - [i30]Ziming Liu, Jingcai Guo, Xiaocheng Lu, Song Guo, Peiran Dong, Jiewei Zhang:
GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning. CoRR abs/2309.00923 (2023) - [i29]Ziming Liu, Max Tegmark:
A Neural Scaling Law from Lottery Ticket Ensembling. CoRR abs/2310.02258 (2023) - [i28]Ziming Liu, Ziqian Zhong, Max Tegmark:
Grokking as Compression: A Nonlinear Complexity Perspective. CoRR abs/2310.05918 (2023) - [i27]Ziming Liu, Mikail Khona, Ila R. Fiete, Max Tegmark:
Growing Brains: Co-emergence of Anatomical and Functional Modularity in Recurrent Neural Networks. CoRR abs/2310.07711 (2023) - [i26]Isaac Liao, Ziming Liu, Max Tegmark:
Generating Interpretable Networks using Hypernetworks. CoRR abs/2312.03051 (2023) - [i25]Jingcai Guo, Qihua Zhou, Ruibing Li, Xiaocheng Lu, Ziming Liu, Junyang Chen, Xin Xie, Jie Zhang:
ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. CoRR abs/2312.09709 (2023) - 2022
- [j25]Ziming Liu, Yang Xu, Cheng Zhang, Haroon Elahi, Xiaokang Zhou:
A blockchain-based trustworthy collaborative power trading scheme for 5G-enabled social internet of vehicles. Digit. Commun. Networks 8(6): 976-983 (2022) - [j24]Yang Xu, Ziming Liu, Cheng Zhang, Ju Ren, Yaoxue Zhang, Xuemin Shen:
Blockchain-Based Trustworthy Energy Dispatching Approach for High Renewable Energy Penetrated Power Systems. IEEE Internet Things J. 9(12): 10036-10047 (2022) - [j23]Ziming Liu:
Reading in the age of digital distraction. J. Documentation 78(6): 1201-1212 (2022) - [j22]Fushuo Huo, Xuegui Zhu, Qian Zhang, Ziming Liu, Wenchao Yu:
Real-Time One-Stream Semantic-Guided Refinement Network for RGB-Thermal Salient Object Detection. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j21]Haozhao Wang, Song Guo, Zhihao Qu, Ruixuan Li, Ziming Liu:
Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment. IEEE Trans. Parallel Distributed Syst. 33(1): 14-25 (2022) - [c21]Ziming Liu, Parker N. Collier, Robert Bray, Eun Jin Paek, Devin Casenhiser, Wenjun Zhou, Xiaopeng Zhao:
Estimating Human Attitude during Robot-mediated Referential Communication Tasks. CHASE 2022: 66-77 - [c20]Thierry Sans, Ziming Liu, Kevin Oh:
A Decentralized Mnemonic Backup System for Non-custodial Cryptocurrency Wallets. FPS 2022: 355-370 - [c19]Ziming Liu, Ezio Malis, Philippe Martinet:
A New Dense Hybrid Stereo Visual Odometry Approach. IROS 2022: 6998-7003 - [c18]Ziming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams:
Towards Understanding Grokking: An Effective Theory of Representation Learning. NeurIPS 2022 - [c17]Yilun Xu, Ziming Liu, Max Tegmark, Tommi S. Jaakkola:
Poisson Flow Generative Models. NeurIPS 2022 - [c16]Ziming Liu, Yigang Qin, Huiqi Zou, Eun Jin Paek, Devin Casenhiser, Wenjun Zhou, Xiaopeng Zhao:
Generating Natural Language Responses in Robot-Mediated Referential Communication Tasks to Simulate Theory of Mind. ICSR (1) 2022: 100-109 - [i24]Ziming Liu, Song Guo, Jingcai Guo, Yuanyuan Xu, Fushuo Huo:
Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention. CoRR abs/2203.03483 (2022) - [i23]Ziming Liu, Varun Madhavan, Max Tegmark:
AI Poincaré 2.0: Machine Learning Conservation Laws from Differential Equations. CoRR abs/2203.12610 (2022) - [i22]Ziming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams:
Towards Understanding Grokking: An Effective Theory of Representation Learning. CoRR abs/2205.10343 (2022) - [i21]Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu:
Accelerating Federated Learning via Sampling Anchor Clients with Large Batches. CoRR abs/2206.05891 (2022) - [i20]Ziming Liu, Andrew M. Stuart, Yixuan Wang:
Second Order Ensemble Langevin Method for Sampling and Inverse Problems. CoRR abs/2208.04506 (2022) - [i19]Jingcai Guo, Song Guo, Jie Zhang, Ziming Liu:
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network. CoRR abs/2208.12044 (2022) - [i18]Jiangsu Du, Ziming Liu, Jiarui Fang, Shenggui Li, Yongbin Li, Yutong Lu, Yang You:
EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models. CoRR abs/2209.02341 (2022) - [i17]Yilun Xu, Ziming Liu, Max Tegmark, Tommi S. Jaakkola:
Poisson Flow Generative Models. CoRR abs/2209.11178 (2022) - [i16]Ziming Liu, Eric J. Michaud, Max Tegmark:
Omnigrok: Grokking Beyond Algorithmic Data. CoRR abs/2210.01117 (2022) - [i15]Eric J. Michaud, Ziming Liu, Max Tegmark:
Precision Machine Learning. CoRR abs/2210.13447 (2022) - [i14]Xiaocheng Lu, Ziming Liu, Song Guo, Jingcai Guo:
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning. CoRR abs/2211.10681 (2022) - [i13]Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu:
ProCC: Progressive Cross-primitive Consistency for Open-World Compositional Zero-Shot Learning. CoRR abs/2211.12417 (2022) - 2021
- [j20]Ziming Liu, Jeremy Shore, Miao Wang, Fengpei Yuan, Aaron Buss, Xiaopeng Zhao:
A systematic review on hybrid EEG/fNIRS in brain-computer interface. Biomed. Signal Process. Control. 68: 102595 (2021) - [j19]James A. Davis, J. J. Hoo, Connor Kissane, Ziming Liu, Calvin Reedy, Kartikey Sharma, Ken Smith, Yiwei Sun:
Abelian difference sets with the symmetric difference property. Des. Codes Cryptogr. 89(3): 517-523 (2021) - [j18]Fengpei Yuan, Elizabeth Klavon, Ziming Liu, Ruth Palan Lopez, Xiaopeng Zhao:
A Systematic Review of Robotic Rehabilitation for Cognitive Training. Frontiers Robotics AI 8: 605715 (2021) - [j17]Zhichao Yuan, Ziming Liu, Chunbo Zhu, Jing Qi, Danpei Zhao:
Object Detection in Remote Sensing Images via Multi-Feature Pyramid Network with Receptive Field Block. Remote. Sens. 13(5): 862 (2021) - [j16]Hongwei Ban, Dazhi Wang, Sihan Wang, Ziming Liu:
Multilocation and Multiscale Learning Framework with Skip Connection for Fault Diagnosis of Bearing under Complex Working Conditions. Sensors 21(9): 3226 (2021) - [j15]Jinwu Wang, Changsu Xu, Yanan Xu, Xin Qi, Ziming Liu, Han Tang:
Vibration Analysis and Parameter Optimization of the Longitudinal Axial Flow Threshing Cylinder. Symmetry 13(4): 571 (2021) - [c15]Ziming Liu, Parker N. Collier, Charles Wang, Eun Jin Paek, Si On Yoon, Devin Casenhiser, Xiaopeng Zhao:
A Demonstration of Human-Robot Communication Based on Multiskilled Language-Image Analysis. CHASE 2021: 126-127 - [c14]Ziming Liu, Guangyu Gao, Lin Sun, Zhiyuan Fang:
HRDNet: High-Resolution Detection Network for Small Objects. ICME 2021: 1-6 - [c13]Ziming Liu, Lauren Proctor, Parker N. Collier, Xiaopeng Zhao:
Automatic Diagnosis and Prediction of Cognitive Decline Associated with Alzheimer's Dementia through Spontaneous Speech. ICSIPA 2021: 39-43 - [c12]Benjamin Sweely, Ziming Liu, Tami Wyatt, Katherine Newnam, Hairong Qi, Xiaopeng Zhao:
Camera-Based Remote Photoplethysmography for Physiological Monitoring in Neonatal Intensive Care. ICSIPA 2021: 146-149 - [c11]Saifei Wu, Jie Li, Lin Qi, Ziming Liu, Xinbo Gao:
Remote Sensing Imagery Scene Classification Based on Spiking Neural Network. IGARSS 2021: 2795-2798 - [c10]Teo Boon Chiat Terence, Venkadasamy Navaneethan, Lim Xian Yang, Nardi Utomo, Ziming Liu, Tan Chong Boon, Seah Yun Da Bryan, Ji-Jon Sit, Liter Siek:
A RF-DC Rectifier with Dual Voltage Polarity Self-Biasing for Wireless Sensor Node Application. ISCAS 2021: 1-5 - [c9]Nardi Utomo, Boon Chiat Terence Teo, Xian Yang Lim, Venkadasamy Navaneethan, Ziming Liu, Chong Boon Tan, Yun Da Bryan Seah, Ying Hung Yvonne Lam, Liter Siek:
Low Voltage Low Power Output Programmable OCL-LDO with Embedded Voltage Reference. ISCAS 2021: 1-5 - [i12]Ziming Liu, Bohan Wang, Qi Meng, Wei Chen, Max Tegmark, Tie-Yan Liu:
Machine-Learning Non-Conservative Dynamics for New-Physics Detection. CoRR abs/2106.00026 (2021) - [i11]Ziming Liu, Max Tegmark:
Machine-learning hidden symmetries. CoRR abs/2109.09721 (2021) - [i10]Ziming Liu, Yunyue Chen, Yuanqi Du, Max Tegmark:
Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning. CoRR abs/2109.13901 (2021) - [i9]Feijie Wu, Song Guo, Haozhao Wang, Zhihao Qu, Haobo Zhang, Jie Zhang, Ziming Liu:
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. CoRR abs/2112.09355 (2021) - 2020
- [j14]Ziming Liu, Dazhi Wang, Jiaxing Wang, Xinghua Wang, Hao Li:
A Blockchain-Enabled Secure Power Trading Mechanism for Smart Grid Employing Wireless Networks. IEEE Access 8: 177745-177756 (2020) - [j13]Ziming Liu, Jinyang Li, Guangyu Gao, Alex Kai Qin:
Temporal Memory Network Towards Real-Time Video Understanding. IEEE Access 8: 223837-223847 (2020) - [c8]Ziming Liu,