Tian Zhou

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
S2VQ-VAE: Semi-Supervised Vector Quantised-Variational AutoEncoder for Automatic Evaluation of Trail Making Test.
IEEE J. Biomed. Health Informatics, August, 2024

Simple Conditional Spatial Query Mask Deformable Detection Transformer: A Detection Approach for Multi-Style Strokes of Chinese Characters.
Sensors, February, 2024

ConvKyber: Unleashing the Power of AI Accelerators for Faster Kyber with Novel Iteration-based Approaches.
IACR Trans. Cryptogr. Hardw. Embed. Syst., 2024

Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting.
CoRR, 2024

Less is more: Embracing sparsity and interpolation with Esiformer for time series forecasting.
CoRR, 2024

Unlocking the Power of LSTM for Long Term Time Series Forecasting.
CoRR, 2024

S<sup>3</sup>Attention: Improving Long Sequence Attention with Smoothed Skeleton Sketching.
CoRR, 2024

Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting.
CoRR, 2024

Attention as Robust Representation for Time Series Forecasting.
CoRR, 2024

Effects of contact stiffness on the nonlinear motions induced by impacts on an overhung rotor system.
Commun. Nonlinear Sci. Numer. Simul., 2024

An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

PIPO: Privacy-Preserving Convolutional Neural Network Inference with Plaintext Operations.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

2023
Energy forecasting with robust, flexible, and explainable machine learning algorithms.
AI Mag., December, 2023

baseflow: a MATLAB and GNU Octave package for baseflow recession analysis.
J. Open Source Softw., November, 2023

Investigation of the Vertical Distribution Characteristics and Microphysical Properties of Summer Mineral Dust Masses over the Taklimakan Desert Using an Unmanned Aerial Vehicle.
Remote. Sens., July, 2023

The effects of mobile technology usage on cognitive, affective, and behavioural learning outcomes in primary and secondary education: A systematic review with meta-analysis.
J. Comput. Assist. Learn., April, 2023

A Shared Method of Metal Object Detection and Living Object Detection Based on the Quality Factor of Detection Coils for Electric Vehicle Wireless Charging.
IEEE Trans. Instrum. Meas., 2023

Design of the 3D Digital Reconstruction System of an Urban Landscape Spatial Pattern Based on the Internet of Things.
Int. J. Inf. Technol. Syst. Approach, 2023

SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting.
CoRR, 2023

Model-free Test Time Adaptation for Out-Of-Distribution Detection.
CoRR, 2023

One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors.
CoRR, 2023

GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting.
CoRR, 2023

Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer.
CoRR, 2023

How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting?
CoRR, 2023

Power Time Series Forecasting by Pretrained LM.
CoRR, 2023

Terahertz Super-Resolution Nondestructive Detection Algorithm Based on Edge Feature Convolution Network.
IEEE Access, 2023

One Fits All: Power General Time Series Analysis by Pretrained LM.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Transformers in Time Series: A Survey.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Experience Adapter: Adapting Pre-trained Language Models for Continual Task Planning.
Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

SADI: A Self-Adaptive Decomposed Interpretable Framework for Electric Load Forecasting Under Extreme Events.
Proceedings of the IEEE International Conference on Acoustics, 2023

GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Seasonal Variation of Dust Aerosol Vertical Distribution in Arctic Based on Polarized Micropulse Lidar Measurement.
Remote. Sens., 2022

A New Algorithm of Atmospheric Boundary Layer Height Determined from Polarization Lidar.
Remote. Sens., 2022

Wrapper scan chain design algorithm for testing of embedded cores based on chaotic dragonfly algorithm.
Evol. Intell., 2022

TreeDRNet: A Robust Deep Model for Long Term Time Series Forecasting.
CoRR, 2022

Further results on the star degree of graphs.
Appl. Math. Comput., 2022

Antecedents of Consumers' Impulsive Buying Intention in Live Streaming Commerce - - Perspective of Live Streamer's Persuasive Ability.
Proceedings of the 21st Wuhan International Conference on E-Business, 2022

Deep-Learning Based Channel Estimation for OFDM Wireless Communications.
Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust Time Series Analysis and Applications: An Industrial Perspective.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting.
Proceedings of the International Conference on Machine Learning, 2022

TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Profiling Dust Mass Concentration in Northwest China Using a Joint Lidar and Sun-Photometer Setting.
Remote. Sens., 2021

Mid-flight Forecasting for CPA Lines in Online Advertising.
CoRR, 2021

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving.
Proceedings of the WSDM '21, 2021

Short Video Service Evaluation System Design from the Viewpoint of QoE.
Proceedings of the Simulation Tools and Techniques - 13th EAI International Conference, 2021

An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Detecting Human-Induced Changes in Powerline Signals: A Human Sensing System Design: Poster Abstract.
Proceedings of the IPSN '21: The 20th International Conference on Information Processing in Sensor Networks, 2021

2020
Multimodal Physiological Signals for Workload Prediction in Robot-assisted Surgery.
ACM Trans. Hum. Robot Interact., 2020

Noise learning based discriminative dictionary learning algorithm for image classification.
J. Frankl. Inst., 2020

Image super resolution via nonlocal and second-order feature fusion network.
J. Electronic Imaging, 2020

Parallel Multi-task Cascade Convolution Neural Network Optimization Algorithm for Real-time Dynamic Face Recognition.
KSII Trans. Internet Inf. Syst., 2020

Eye-Tracking Metrics Predict Perceived Workload in Robotic Surgical Skills Training.
Hum. Factors, 2020

Bid Shading by Win-Rate Estimation and Surplus Maximization.
CoRR, 2020

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving.
CoRR, 2020

An Attention-based Approach for Traffic Conditions Forecasting Considering Spatial-Temporal Features.
Proceedings of the 5th IEEE International Conference on Intelligent Transportation Engineering, 2020

Nonon-Convex Low-Rank Minimization for Sparse-View CT Reconstruction via Nonlocal-Group Dictionary Learning.
Proceedings of the 7th International Conference on Dependable Systems and Their Applications, 2020

Bid Shading in The Brave New World of First-Price Auctions.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Atmosphere Boundary Layer Height (ABLH) Determination under Multiple-Layer Conditions Using Micro-Pulse Lidar.
Remote. Sens., 2019

Spiking Neural Networks for early prediction in human-robot collaboration.
Int. J. Robotics Res., 2019

An Oil Painters Recognition Method Based on Cluster Multiple Kernel Learning Algorithm.
IEEE Access, 2019

JISAP: Joint Inference for Surgeon Attributes Prediction during Robot-Assisted Surgery.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

<i>P-Loc</i>: a device-free indoor localization system utilizing building power-line network.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

2018
Real-Time Observations of Dust-Cloud Interactions Based on Polarization and Raman Lidar Measurements.
Remote. Sens., 2018

Early prediction for physical human robot collaboration in the operating room.
Auton. Robots, 2018

Improved Cross-Label Suppression Dictionary Learning for Face Recognition.
IEEE Access, 2018

Early Turn-Taking Prediction with Spiking Neural Networks for Human Robot Collaboration.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Image Exploration Procedure Classification with Spike-timing Neural Network for the Blind.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Portable intelligent home service system based on SSVEP.
Proceedings of the IEEE International Conference on Consumer Electronics, 2018

Joint Surgeon Attributes Estimation in Robot-Assisted Surgery.
Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Improved Efficient Dictionary Learning with Cross-Label and Group Regularization.
Proceedings of the Communications, Signal Processing, and Systems, 2018

2017
Needle in a haystack: Interactive surgical instrument recognition through perception and manipulation.
Robotics Auton. Syst., 2017

Communication Modalities for Supervised Teleoperation in Highly Dexterous Tasks - Does one size fit all?
CoRR, 2017

Characterization of Gas-Liquid Two-Phase Flow by Correlation Dimension of Vortex-Induced Pressure Fluctuation.
IEEE Access, 2017

Automatic segmentation of left ventricle in cardiac cine MRI images based on deep learning.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Transfer Learning for the Fully Automatic Segmentation of Left Ventricle Myocardium in Porcine Cardiac Cine MR Images.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

E-loc: indoor localization through building electric wiring: poster abstract.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

Finding a Needle in a Haystack: Recognizing Surgical Instruments through Vision and Manipulation.
Proceedings of the Intelligent Robotics and Industrial Applications using Computer Vision 2017, Burlingame, CA, USA, January 29, 2017

Taxonomy of Communications in the Operating Room.
Proceedings of the Advances in Human Factors and Ergonomics in Healthcare and Medical Devices, 2017

2016
A comparative study for telerobotic surgery using free hand gestures.
J. Hum. Robot Interact., 2016

Hierarchical context-aware hand detection algorithm for naturalistic driving.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Early Turn-Taking Prediction in the Operating Room.
Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

2015
Touchless Telerobotic Surgery - Is It Possible at All?
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
A New Approach for Time Reversal Communication over Doubly Spread Channels.
Proceedings of the International Conference on Underwater Networks & Systems, Rome, Italy, November 12, 2014

2012
Clinical Microwave Tomographic Imaging of the Calcaneus: A First-in-Human Case Study of Two Subjects.
IEEE Trans. Biomed. Eng., 2012

Bone Dielectric Property Variation as a Function of Mineralization at Microwave Frequencies.
Int. J. Biomed. Imaging, 2012

A Jacobi-based parallel algorithm for matrix inverse computations.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2012

Research on the Apriori algorithm in extracting the key factor.
Proceedings of the 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, 2012

2011
A Fast Collision Detection Algorithm in IEEE 802.11 through Physical Layer SINR Monitoring.
Proceedings of the 73rd IEEE Vehicular Technology Conference, 2011

Microwave tomography for bone imaging.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
An Approach of Redistricting Based on Simple and Compactness.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

2000
An Angle-Based Approach to Two-Dimensional Mesh Smoothing.
Proceedings of the 9th International Meshing Roundtable, 2000


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