Ziming Liu

According to our database, Ziming Liu authored at least 124 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Adaptive Learning for Hybrid Visual Odometry.

Ziming Liu, Ezio Malis, Philippe Martinet

IEEE Robotics Autom. Lett., August, 2024

Pricing Game and Blockchain for Electricity Data Trading in Low-Carbon Smart Energy Systems.

Ziming Liu, Bonan Huang, Yushuai Li, Qiuye Sun, Torben Bach Pedersen, David Wenzhong Gao

IEEE Trans. Ind. Informatics, April, 2024

Seeing Is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability.

Ziming Liu, Eric Gan, Max Tegmark

Entropy, January, 2024

UTDNet: A unified triplet decoder network for multimodal salient object detection.

Fushuo Huo, Ziming Liu, Jingcai Guo, Wenchao Xu, Song Guo

Neural Networks, 2024

On the expressiveness and spectral bias of KANs.

Yixuan Wang, Jonathan W. Siegel, Ziming Liu, Thomas Y. Hou

CoRR, 2024

To Shelter or Not To Shelter: Exploring the Influence of Different Modalities in Virtual Reality on Individuals' Tornado Mitigation Behaviors.

Jiuyi Xu, Tolulope Sanni, Ziming Liu, Ye Yang, Jiyoung Lee, Wei Song, Yangming Shi

CoRR, 2024

How Diffusion Models Learn to Factorize and Compose.

Qiyao Liang, Ziming Liu, Mitchell Ostrow, Ila Fiete

CoRR, 2024

Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning.

Ziming Liu, Jingcai Guo, Song Guo, Xiaocheng Lu

CoRR, 2024

KAN 2.0: Kolmogorov-Arnold Networks Meet Science.

Ziming Liu, Pingchuan Ma, Yixuan Wang, Wojciech Matusik, Max Tegmark

CoRR, 2024

WallFacer: Guiding Transformer Model Training Out of the Long-Context Dark Forest with N-body Problem.

Ziming Liu, Shaoyu Wang, Shenggan Cheng, Zhongkai Zhao, Xuanlei Zhao, James Demmel, Yang You

CoRR, 2024

Using a Convolutional Neural Network and Explainable AI to Diagnose Dementia Based on MRI Scans.

Tyler Morris, Ziming Liu, Longjian Liu, Xiaopeng Zhao

CoRR, 2024

Exploring Nutritional Impact on Alzheimer's Mortality: An Explainable AI Approach.

Ziming Liu, Longjian Liu, Robert E. Heidel, Xiaopeng Zhao

CoRR, 2024

Survival of the Fittest Representation: A Case Study with Modular Addition.

Xiaoman Delores Ding, Zifan Carl Guo, Eric J. Michaud, Ziming Liu, Max Tegmark

CoRR, 2024

How Do Transformers "Do" Physics? Investigating the Simple Harmonic Oscillator.

Subhash Kantamneni, Ziming Liu, Max Tegmark

CoRR, 2024

OptPDE: Discovering Novel Integrable Systems via AI-Human Collaboration.

Subhash Kantamneni, Ziming Liu, Max Tegmark

CoRR, 2024

KAN: Kolmogorov-Arnold Networks.

Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljacic, Thomas Y. Hou, Max Tegmark

CoRR, 2024

DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers.

Xuanlei Zhao, Shenggan Cheng, Zangwei Zheng, Zheming Yang, Ziming Liu, Yang You

CoRR, 2024

HeteGen: Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices.

Xuanlei Zhao, Bin Jia, Haotian Zhou, Ziming Liu, Shenggan Cheng, Yang You

CoRR, 2024

GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theory.

David D. Baek, Ziming Liu, Max Tegmark

CoRR, 2024

A Resource Model For Neural Scaling Law.

Jinyeop Song, Ziming Liu, Max Tegmark, Jeff Gore

CoRR, 2024

Opening the AI black box: program synthesis via mechanistic interpretability.

Eric J. Michaud, Isaac Liao, Vedang Lad, Ziming Liu, Anish Mudide, Chloe Loughridge, Zifan Carl Guo, Tara Rezaei Kheirkhah, Mateja Vukelic, Max Tegmark

CoRR, 2024

Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?

Qiyao Liang, Ziming Liu, Ila Fiete

CoRR, 2024

AutoChunk: Automated Activation Chunk for Memory-Efficient Long Sequence Inference.

Xuanlei Zhao, Shenggan Cheng, Guangyang Lu, Jiarui Fang, Haotian Zhou, Bin Jia, Ziming Liu, Yang You

CoRR, 2024

HeteGen: Efficient Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices.

Xuanlei Zhao, Bin Jia, Haotian Zhou, Ziming Liu, Shenggan Cheng, Yang You

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning.

Jingcai Guo, Qihua Zhou, Xiaocheng Lu, Ruibin Li, Ziming Liu, Jie Zhang, Bo Han, Junyang Chen, Xin Xie, Song Guo

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring.

Jiewei Zhang, Song Guo, Peiran Dong, Jie Zhang, Ziming Liu, Yue Yu, Xiao-Ming Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

One-Stage Deep Stereo Network.

Ziming Liu, Ezio Malis, Philippe Martinet

Proceedings of the IEEE International Conference on Acoustics, 2024

ANM-Based Source Localization Under Mixed Field.

Tao Chen, Ziming Liu, Lei Zhan

Proceedings of the IEEE International Conference on Acoustics, 2024

The Joint Grid-Free DOA and Polarization Estimation Algorithm based on Atomic Norm Minimization.

Tao Chen, Minxing Li, Ziming Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning.

Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

An 85.1% Peak Efficiency, Low Power Class H Audio Amplifier With Full Class H Operation.

Nardi Utomo, Boon Chiat Terence Teo, Xian Yang Lim, Venkadasamy Navaneethan, Ziming Liu, Chong Boon Tan, Liter Siek

IEEE Trans. Circuits Syst. I Regul. Pap., December, 2023

From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization.

Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu

IEEE Trans. Parallel Distributed Syst., May, 2023

A Probabilistic Formulation for Meta-Weight-Net.

Qian Zhao, Jun Shu, Xiang Yuan, Ziming Liu, Deyu Meng

IEEE Trans. Neural Networks Learn. Syst., March, 2023

DANet: Semi-supervised differentiated auxiliaries guided network for video action recognition.

Guangyu Gao, Ziming Liu, Guangjun Zhang, Jinyang Li, A. Kai Qin

Neural Networks, January, 2023

Precision Machine Learning.

Eric J. Michaud, Ziming Liu, Max Tegmark

Entropy, January, 2023

Towards Unbiased Multi-Label Zero-Shot Learning With Pyramid and Semantic Attention.

Ziming Liu, Song Guo, Jingcai Guo, Yuanyuan Xu, Fushuo Huo

IEEE Trans. Multim., 2023

Scientific discovery in the age of artificial intelligence.

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

Nat., 2023

The effects of social media addiction on reading practice: a survey of undergraduate students in China.

Ziming Liu, Rui Hu, Xiaojun Bi

J. Documentation, 2023

ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning.

Jingcai Guo, Qihua Zhou, Ruibing Li, Xiaocheng Lu, Ziming Liu, Junyang Chen, Xin Xie, Jie Zhang

CoRR, 2023

Generating Interpretable Networks using Hypernetworks.

Isaac Liao, Ziming Liu, Max Tegmark

CoRR, 2023

Growing Brains: Co-emergence of Anatomical and Functional Modularity in Recurrent Neural Networks.

Ziming Liu, Mikail Khona, Ila R. Fiete, Max Tegmark

CoRR, 2023

Grokking as Compression: A Nonlinear Complexity Perspective.

Ziming Liu, Ziqian Zhong, Max Tegmark

CoRR, 2023

A Neural Scaling Law from Lottery Ticket Ensembling.

Ziming Liu, Max Tegmark

CoRR, 2023

GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning.

Ziming Liu, Jingcai Guo, Xiaocheng Lu, Song Guo, Peiran Dong, Jiewei Zhang

CoRR, 2023

Discovering New Interpretable Conservation Laws as Sparse Invariants.

Ziming Liu, Patrick Obin Sturm, Saketh Bharadwaj, Sam Silva, Max Tegmark

CoRR, 2023

DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning.

Xiaocheng Lu, Ziming Liu, Song Guo, Jingcai Guo, Fushuo Huo, Sikai Bai, Tao Han

CoRR, 2023

GenPhys: From Physical Processes to Generative Models.

Ziming Liu, Di Luo, Yilun Xu, Tommi S. Jaakkola, Max Tegmark

CoRR, 2023

ATP: Adaptive Tensor Parallelism for Foundation Models.

Shenggan Cheng, Ziming Liu, Jiangsu Du, Yang You

CoRR, 2023

Hanayo: Harnessing Wave-like Pipeline Parallelism for Enhanced Large Model Training Efficiency.

Ziming Liu, Shenggan Cheng, Haotian Zhou, Yang You

Proceedings of the International Conference for High Performance Computing, 2023

The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks.

Ziqian Zhong, Ziming Liu, Max Tegmark, Jacob Andreas

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Restart Sampling for Improving Generative Processes.

Yilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi S. Jaakkola

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Quantization Model of Neural Scaling.

Eric J. Michaud, Ziming Liu, Uzay Girit, Max Tegmark

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Test-Time Refusals via Concept Negation.

Peiran Dong, Song Guo, Junxiao Wang, Bingjie Wang, Jiewei Zhang, Ziming Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Masks Generation for Increasing Robustness of Dense Direct Methods.

Ziming Liu, Ezio Malis, Philippe Martinet

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

PFGM++: Unlocking the Potential of Physics-Inspired Generative Models.

Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi S. Jaakkola

Proceedings of the International Conference on Machine Learning, 2023

Anchor Sampling for Federated Learning with Partial Client Participation.

Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao

Proceedings of the International Conference on Machine Learning, 2023

Omnigrok: Grokking Beyond Algorithmic Data.

Ziming Liu, Eric J. Michaud, Max Tegmark

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning.

Xiaocheng Lu, Song Guo, Ziming Liu, Jingcai Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

(ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning.

Ziming Liu, Song Guo, Xiaocheng Lu, Jingcai Guo, Jiewei Zhang, Yue Zeng, Fushuo Huo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Battery-input Hysteretic Buck Converter with 430nA Quiescent Current and 5×10⁴ Load Current Dynamic Range for Wearable Biomedical Devices.

Ziming Liu, Wang Ling Goh, Liter Siek, Yuan Gao

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

Harnessing Transfer Learning for Dementia Prediction: Leveraging Sex-Different Mild Cognitive Impairment Prognosis.

Ziming Liu, Muskan Garg, Sunyang Fu, Surjodeep Sarkar, Maria Vassilaki, Ronald C. Petersen, Jennifer St. Sauver, Sunghwan Sohn

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition.

Jingcai Guo, Song Guo, Qihua Zhou, Ziming Liu, Xiaocheng Lu, Fushuo Huo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A blockchain-based trustworthy collaborative power trading scheme for 5G-enabled social internet of vehicles.

Ziming Liu, Yang Xu, Cheng Zhang, Haroon Elahi, Xiaokang Zhou

Digit. Commun. Networks, December, 2022

Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment.

Haozhao Wang, Song Guo, Zhihao Qu, Ruixuan Li, Ziming Liu

IEEE Trans. Parallel Distributed Syst., 2022

Real-Time One-Stream Semantic-Guided Refinement Network for RGB-Thermal Salient Object Detection.

Fushuo Huo, Xuegui Zhu, Qian Zhang, Ziming Liu, Wenchao Yu

IEEE Trans. Instrum. Meas., 2022

Reading in the age of digital distraction.

Ziming Liu

J. Documentation, 2022

Blockchain-Based Trustworthy Energy Dispatching Approach for High Renewable Energy Penetrated Power Systems.

Yang Xu, Ziming Liu, Cheng Zhang, Ju Ren, Yaoxue Zhang, Xuemin Shen

IEEE Internet Things J., 2022

ProCC: Progressive Cross-primitive Consistency for Open-World Compositional Zero-Shot Learning.

Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu

CoRR, 2022

EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models.

Jiangsu Du, Ziming Liu, Jiarui Fang, Shenggui Li, Yongbin Li, Yutong Lu, Yang You

CoRR, 2022

Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network.

Jingcai Guo, Song Guo, Jie Zhang, Ziming Liu

CoRR, 2022

Second Order Ensemble Langevin Method for Sampling and Inverse Problems.

Ziming Liu, Andrew M. Stuart, Yixuan Wang

CoRR, 2022

Accelerating Federated Learning via Sampling Anchor Clients with Large Batches.

Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu

CoRR, 2022

AI Poincaré 2.0: Machine Learning Conservation Laws from Differential Equations.

Ziming Liu, Varun Madhavan, Max Tegmark

CoRR, 2022

Generating Natural Language Responses in Robot-Mediated Referential Communication Tasks to Simulate Theory of Mind.

Ziming Liu, Yigang Qin, Huiqi Zou, Eun Jin Paek, Devin Casenhiser, Wenjun Zhou, Xiaopeng Zhao

Proceedings of the Social Robotics - 14th International Conference, 2022

Poisson Flow Generative Models.

Yilun Xu, Ziming Liu, Max Tegmark, Tommi S. Jaakkola

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Understanding Grokking: An Effective Theory of Representation Learning.

Ziming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A New Dense Hybrid Stereo Visual Odometry Approach.

Ziming Liu, Ezio Malis, Philippe Martinet

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

A Decentralized Mnemonic Backup System for Non-custodial Cryptocurrency Wallets.

Thierry Sans, Ziming Liu, Kevin Oh

Proceedings of the Foundations and Practice of Security - 15th International Symposium, 2022

Estimating Human Attitude during Robot-mediated Referential Communication Tasks.

Ziming Liu, Parker N. Collier, Robert Bray, Eun Jin Paek, Devin Casenhiser, Wenjun Zhou, Xiaopeng Zhao

Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2022

2021

Vibration Analysis and Parameter Optimization of the Longitudinal Axial Flow Threshing Cylinder.

Jinwu Wang, Changsu Xu, Yanan Xu, Xin Qi, Ziming Liu, Han Tang

Symmetry, 2021

Multilocation and Multiscale Learning Framework with Skip Connection for Fault Diagnosis of Bearing under Complex Working Conditions.

Hongwei Ban, Dazhi Wang, Sihan Wang, Ziming Liu

Sensors, 2021

Object Detection in Remote Sensing Images via Multi-Feature Pyramid Network with Receptive Field Block.

Zhichao Yuan, Ziming Liu, Chunbo Zhu, Jing Qi, Danpei Zhao

Remote. Sens., 2021

A Systematic Review of Robotic Rehabilitation for Cognitive Training.

Fengpei Yuan, Elizabeth Klavon, Ziming Liu, Ruth Palan Lopez, Xiaopeng Zhao

Frontiers Robotics AI, 2021

Abelian difference sets with the symmetric difference property.

James A. Davis, J. J. Hoo, Connor Kissane, Ziming Liu, Calvin Reedy, Kartikey Sharma, Ken Smith, Yiwei Sun

Des. Codes Cryptogr., 2021

Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning.

Ziming Liu, Yunyue Chen, Yuanqi Du, Max Tegmark

CoRR, 2021

Machine-learning hidden symmetries.

Ziming Liu, Max Tegmark

CoRR, 2021

Machine-Learning Non-Conservative Dynamics for New-Physics Detection.

Ziming Liu, Bohan Wang, Qi Meng, Wei Chen, Max Tegmark, Tie-Yan Liu

CoRR, 2021

A systematic review on hybrid EEG/fNIRS in brain-computer interface.

Ziming Liu, Jeremy Shore, Miao Wang, Fengpei Yuan, Aaron Buss, Xiaopeng Zhao

Biomed. Signal Process. Control., 2021

Low Voltage Low Power Output Programmable OCL-LDO with Embedded Voltage Reference.

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

A RF-DC Rectifier with Dual Voltage Polarity Self-Biasing for Wireless Sensor Node Application.

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Remote Sensing Imagery Scene Classification Based on Spiking Neural Network.

Saifei Wu, Jie Li, Lin Qi, Ziming Liu, Xinbo Gao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Camera-Based Remote Photoplethysmography for Physiological Monitoring in Neonatal Intensive Care.

Benjamin Sweely, Ziming Liu, Tami Wyatt, Katherine Newnam, Hairong Qi, Xiaopeng Zhao

Proceedings of the IEEE International Conference on Signal and Image Processing Applications, 2021

Automatic Diagnosis and Prediction of Cognitive Decline Associated with Alzheimer's Dementia through Spontaneous Speech.

Ziming Liu, Lauren Proctor, Parker N. Collier, Xiaopeng Zhao

Proceedings of the IEEE International Conference on Signal and Image Processing Applications, 2021

HRDNet: High-Resolution Detection Network for Small Objects.

Ziming Liu, Guangyu Gao, Lin Sun, Zhiyuan Fang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

A Demonstration of Human-Robot Communication Based on Multiskilled Language-Image Analysis.

Ziming Liu, Parker N. Collier, Charles Wang, Eun Jin Paek, Si On Yoon, Devin Casenhiser, Xiaopeng Zhao

Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2021

2020

AI Poincaré: Machine Learning Conservation Laws from Trajectories.

Ziming Liu, Max Tegmark

CoRR, 2020

DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition.

Ziming Liu, Guangyu Gao, A. Kai Qin, Jinyang Li

CoRR, 2020

Schrödinger PCA: You Only Need Variances for Eigenmodes.

Ziming Liu, Sitian Qian, Yixuan Wang, Yuxuan Yan, Tianyi Yang

CoRR, 2020

A Blockchain-Enabled Secure Power Trading Mechanism for Smart Grid Employing Wireless Networks.

Ziming Liu, Dazhi Wang, Jiaxing Wang, Xinghua Wang, Hao Li

IEEE Access, 2020

Temporal Memory Network Towards Real-Time Video Understanding.

Ziming Liu, Jinyang Li, Guangyu Gao, Alex Kai Qin

IEEE Access, 2020

Automated Cataracts Screening from Slit-Lamp Images Employing Deep Learning.

Zhipeng Zhang, Wenhui Shou, Dongjia Xing, Wenting Ma, Qingqing Xu, Wei Wang, Li-Qun Xu, Ziming Liu, Ling Xu

Proceedings of the IoT as a Service - 6th EAI International Conference, 2020

Hierarchical Attention for Ship Detection in SAR Images.

Chunbo Zhu, Danpei Zhao, Ziming Liu, Yinan Mao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Multi-Scale Remote Sensing Targets Detection with Rotated Feature Pyramid.

Yinan Mao, Ziqiang Chen, Hongkun Dou, Danpei Zhao, Ziming Liu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results.

Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

IPG-Net: Image Pyramid Guidance Network for Small Object Detection.

Ziming Liu, Guangyu Gao, Lin Sun, Li Fang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Unsupervised Saliency Model with Color Markov Chain for Oil Tank Detection.

Ziming Liu, Danpei Zhao, Zhenwei Shi, Zhiguo Jiang

Remote. Sens., 2019

Influenza Modeling Based on Massive Feature Engineering and International Flow Deconvolution.

Ziming Liu, Yixuan Wang, Zizhao Han, Dian Wu

CoRR, 2019

Quantum-Inspired Hamiltonian Monte Carlo for Bayesian Sampling.

Ziming Liu, Zheng Zhang

CoRR, 2019

IPG-Net: Image Pyramid Guidance Network for Object Detection.

Ziming Liu, Guangyu Gao, Lin Sun

CoRR, 2019

Multi-PCA based Fault Detection Model Combined with Prior knowledge of HVAC.

Ziming Liu, Xiaobo Liu

CoRR, 2019

Action Recognition with Bootstrapping based Long-range Temporal Context Attention.

Ziming Liu, Guangyu Gao, A. Kai Qin, Tong Wu, Chi Harold Liu

Proceedings of the 27th ACM International Conference on Multimedia, 2019

VisDrone-VID2019: The Vision Meets Drone Object Detection in Video Challenge Results.

Pengfei Zhu, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bing Dong, Dheeraj Reddy Pailla, Feng Ni, Guangyu Gao, Guizhong Liu, Haitao Xiong, Dawei Du, Jing Ge, Jingkai Zhou, Jinrong Hu, Lin Sun, Long Chen, Martin Lauer, Qiong Liu, Sai Saketh Chennamsetty, Ting Sun, Tong Wu, Longyin Wen, Varghese Alex Kollerathu, Wei Tian, Weida Qin, Xier Chen, Xingjie Zhao, Yanchao Lian, Yinan Wu, Ying Li, Yingping Li, Yiwen Wang, Xiao Bian, Yuduo Song, Yuehan Yao, Yunfeng Zhang, Zhaoliang Pi, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhipeng Luo, Ziming Liu, Haibin Ling, Qinghua Hu, Tao Peng, Jiayu Zheng, Xinyao Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results.

Dawei Du, Yue Zhang, Zexin Wang, Zhikang Wang, Zichen Song, Ziming Liu, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Pengfei Zhu, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Longyin Wen, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Xiao Bian, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Haibin Ling, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang, Qinghua Hu, Lianghua Huang, Lin Sun, Lucas Steinmann, Meixia Jia, Nuo Xu, Pengyi Zhang, Qiang Chen, Qingxuan Lv, Qiong Liu, Qishang Cheng, Tao Peng, Sai Saketh Chennamsetty, Shuhao Chen, Shuo Wei, Srinivas S. S. Kruthiventi, Sungeun Hong, Sungil Kang, Tong Wu, Tuo Feng, Varghese Alex Kollerathu, Wanqi Li, Jiayu Zheng, Wei Dai, Weida Qin, Weiyang Wang, Xiaorui Wang, Xiaoyu Chen, Xin Chen, Xin Sun, Xin Zhang, Xin Zhao, Xindi Zhang, Xinyao Wang, Xinyu Zhang, Xuankun Chen, Xudong Wei, Xuzhang Zhang, Yanchao Li, Yifu Chen, Yu Heng Toh, Yu Zhang, Yu Zhu, Yunxin Zhong

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2008

Gender differences in the online reading environment.

Ziming Liu, Xiaobin Huang

J. Documentation, 2008

2006

Print vs. electronic resources: A study of user perceptions, preferences, and use.

Ziming Liu

Inf. Process. Manag., 2006

2005

Reading behavior in the digital environment: Changes in reading behavior over the past ten years.

Ziming Liu

J. Documentation, 2005

2004

The evolution of documents and its impacts.

Ziming Liu

J. Documentation, 2004

Perceptions of credibility of scholarly information on the web.

Ziming Liu

Inf. Process. Manag., 2004

2003

Trends in transforming scholarly communication and their implications.

Ziming Liu

Inf. Process. Manag., 2003

Trust in the preservation of digital information.

Peter E. Hart, Ziming Liu

Commun. ACM, 2003

2000

Is paperless really more?

Ziming Liu, David G. Stork

Commun. ACM, 2000

1997

Changing behaviour in the transborder information flow under different political circumstances.

Ziming Liu

J. Documentation, 1997

Citation Theories in the Framework of International Flow of Information: New Evidence with Translation Analysis.

Ziming Liu

J. Am. Soc. Inf. Sci., 1997

1996

Dissipative Structure Theory, Synergetics, and Their Implications for the Management of Information Systems.

Ziming Liu

J. Am. Soc. Inf. Sci., 1996