Ziming Liu

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 120

Top Venues

Publications

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 (2024)
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 (2024)
Ziming Liu, Ezio Malis, Philippe Martinet
One-Stage Deep Stereo Network. ICASSP (2024)
Tao Chen, Ziming Liu, Lei Zhan
ANM-Based Source Localization Under Mixed Field. ICASSP (2024)
Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljacic, Thomas Y. Hou, Max Tegmark
KAN: Kolmogorov-Arnold Networks. CoRR (2024)
Tyler Morris, Ziming Liu, Longjian Liu, Xiaopeng Zhao
Using a Convolutional Neural Network and Explainable AI to Diagnose Dementia Based on MRI Scans. CoRR (2024)
David D. Baek, Ziming Liu, Max Tegmark
GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theory. CoRR (2024)
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 (2024)
Ziming Liu, Ezio Malis, Philippe Martinet
Adaptive Learning for Hybrid Visual Odometry. IEEE Robotics Autom. Lett. 9 (8) (2024)
Xuanlei Zhao, Shenggan Cheng, Zangwei Zheng, Zheming Yang, Ziming Liu, Yang You
DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers. CoRR (2024)
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) (2024)
Subhash Kantamneni, Ziming Liu, Max Tegmark
How Do Transformers "Do" Physics? Investigating the Simple Harmonic Oscillator. CoRR (2024)
Qiyao Liang, Ziming Liu, Ila Fiete
Do Diffusion Models Learn Semantically Meaningful and Efficient Representations? CoRR (2024)
Jinyeop Song, Ziming Liu, Max Tegmark, Jeff Gore
A Resource Model For Neural Scaling Law. CoRR (2024)
Fushuo Huo, Ziming Liu, Jingcai Guo, Wenchao Xu, Song Guo
UTDNet: A unified triplet decoder network for multimodal salient object detection. Neural Networks 170 (2024)
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)
Tao Chen, Minxing Li, Ziming Liu
The Joint Grid-Free DOA and Polarization Estimation Algorithm based on Atomic Norm Minimization. ICASSP (2024)
Subhash Kantamneni, Ziming Liu, Max Tegmark
OptPDE: Discovering Novel Integrable Systems via AI-Human Collaboration. CoRR (2024)
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 (2024)
Ziming Liu, Eric Gan, Max Tegmark
Seeing Is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability. Entropy 26 (1) (2024)
Ziming Liu, Longjian Liu, Robert E. Heidel, Xiaopeng Zhao
Exploring Nutritional Impact on Alzheimer's Mortality: An Explainable AI Approach. CoRR (2024)
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)
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 (2024)
Peiran Dong, Song Guo, Junxiao Wang, Bingjie Wang, Jiewei Zhang, Ziming Liu
Towards Test-Time Refusals via Concept Negation. NeurIPS (2023)
Eric J. Michaud, Ziming Liu, Uzay Girit, Max Tegmark
The Quantization Model of Neural Scaling. NeurIPS (2023)
Isaac Liao, Ziming Liu, Max Tegmark
Generating Interpretable Networks using Hypernetworks. CoRR (2023)
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) (2023)
Ziming Liu, Eric Gan, Max Tegmark
Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability. CoRR (2023)
Xiaocheng Lu, Song Guo, Ziming Liu, Jingcai Guo
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning. CVPR (2023)
Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi S. Jaakkola
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models. CoRR (2023)
Ziming Liu, Shenggan Cheng, Haotian Zhou, Yang You
Hanayo: Harnessing Wave-like Pipeline Parallelism for Enhanced Large Model Training Efficiency. CoRR (2023)
Ziming Liu, Patrick Obin Sturm, Saketh Bharadwaj, Sam Silva, Max Tegmark
Discovering New Interpretable Conservation Laws as Sparse Invariants. CoRR (2023)
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) (2023)
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 (2023)
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) (2023)
Ziming Liu, Max Tegmark
A Neural Scaling Law from Lottery Ticket Ensembling. CoRR (2023)
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) (2023)
Ziming Liu, Ziqian Zhong, Max Tegmark
Grokking as Compression: A Nonlinear Complexity Perspective. CoRR (2023)
Shenggan Cheng, Ziming Liu, Jiangsu Du, Yang You
ATP: Adaptive Tensor Parallelism for Foundation Models. CoRR (2023)
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) (2023)
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao
Anchor Sampling for Federated Learning with Partial Client Participation. ICML (2023)
Ziming Liu, Wang Ling Goh, Liter Siek, Yuan Gao
Load Current Dynamic Range for Wearable Biomedical Devices. BioCAS (2023)
Ziming Liu, Di Luo, Yilun Xu, Tommi S. Jaakkola, Max Tegmark
GenPhys: From Physical Processes to Generative Models. CoRR (2023)
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 (2023)
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 (2023)
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)
Ziqian Zhong, Ziming Liu, Max Tegmark, Jacob Andreas
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks. CoRR (2023)
Yilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi S. Jaakkola
Restart Sampling for Improving Generative Processes. NeurIPS (2023)
Eric J. Michaud, Ziming Liu, Max Tegmark
Precision Machine Learning. Entropy 25 (1) (2023)
Ziming Liu, Ezio Malis, Philippe Martinet
Multi-Masks Generation for Increasing Robustness of Dense Direct Methods. ITSC (2023)
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 (2023)
Yilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi S. Jaakkola
Restart Sampling for Improving Generative Processes. CoRR (2023)
Ziming Liu, Eric J. Michaud, Max Tegmark
Omnigrok: Grokking Beyond Algorithmic Data. ICLR (2023)
Ziqian Zhong, Ziming Liu, Max Tegmark, Jacob Andreas
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks. NeurIPS (2023)
Eric J. Michaud, Ziming Liu, Uzay Girit, Max Tegmark
The Quantization Model of Neural Scaling. CoRR (2023)
Ziming Liu, Shenggan Cheng, Haotian Zhou, Yang You
Hanayo: Harnessing Wave-like Pipeline Parallelism for Enhanced Large Model Training Efficiency. SC (2023)
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 (2023)
Ziming Liu, Mikail Khona, Ila R. Fiete, Max Tegmark
Growing Brains: Co-emergence of Anatomical and Functional Modularity in Recurrent Neural Networks. CoRR (2023)
Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi S. Jaakkola
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models. ICML (2023)
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)
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)
Ziming Liu, Song Guo, Jingcai Guo, Yuanyuan Xu, Fushuo Huo
Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention. CoRR (2022)
Yilun Xu, Ziming Liu, Max Tegmark, Tommi S. Jaakkola
Poisson Flow Generative Models. NeurIPS (2022)
Xiaocheng Lu, Ziming Liu, Song Guo, Jingcai Guo
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning. CoRR (2022)
Thierry Sans, Ziming Liu, Kevin Oh
A Decentralized Mnemonic Backup System for Non-custodial Cryptocurrency Wallets. FPS (2022)
Eric J. Michaud, Ziming Liu, Max Tegmark
Precision Machine Learning. CoRR (2022)
Ziming Liu, Andrew M. Stuart, Yixuan Wang
Second Order Ensemble Langevin Method for Sampling and Inverse Problems. CoRR (2022)
Ziming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams
Towards Understanding Grokking: An Effective Theory of Representation Learning. NeurIPS (2022)
Ziming Liu, Varun Madhavan, Max Tegmark
AI Poincaré 2.0: Machine Learning Conservation Laws from Differential Equations. CoRR (2022)
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 (2022)
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) (2022)
Ziming Liu, Eric J. Michaud, Max Tegmark
Omnigrok: Grokking Beyond Algorithmic Data. CoRR (2022)
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu
Accelerating Federated Learning via Sampling Anchor Clients with Large Batches. CoRR (2022)
Ziming Liu, Ezio Malis, Philippe Martinet
A New Dense Hybrid Stereo Visual Odometry Approach. IROS (2022)
Jingcai Guo, Song Guo, Jie Zhang, Ziming Liu
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network. CoRR (2022)
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) (2022)
Ziming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams
Towards Understanding Grokking: An Effective Theory of Representation Learning. CoRR (2022)
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)
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 (2022)
Ziming Liu
Reading in the age of digital distraction. J. Documentation 78 (6) (2022)
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) (2022)
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)
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 (2022)
Yilun Xu, Ziming Liu, Max Tegmark, Tommi S. Jaakkola
Poisson Flow Generative Models. CoRR (2022)
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)
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 (2021)
Ziming Liu, Bohan Wang, Qi Meng, Wei Chen, Max Tegmark, Tie-Yan Liu
Machine-Learning Non-Conservative Dynamics for New-Physics Detection. CoRR (2021)
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)
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)
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) (2021)
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)
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) (2021)
Ziming Liu, Guangyu Gao, Lin Sun, Zhiyuan Fang
HRDNet: High-Resolution Detection Network for Small Objects. ICME (2021)
Fengpei Yuan, Elizabeth Klavon, Ziming Liu, Ruth Palan Lopez, Xiaopeng Zhao
A Systematic Review of Robotic Rehabilitation for Cognitive Training. Frontiers Robotics AI 8 (2021)
Ziming Liu, Max Tegmark
Machine-learning hidden symmetries. CoRR (2021)
Ziming Liu, Yunyue Chen, Yuanqi Du, Max Tegmark
Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning. CoRR (2021)
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 (2021)
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) (2021)
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)
Saifei Wu, Jie Li, Lin Qi, Ziming Liu, Xinbo Gao
Remote Sensing Imagery Scene Classification Based on Spiking Neural Network. IGARSS (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ziming Liu