Siqi Wu

Orcid: 0000-0001-9004-360X

According to our database1, Siqi Wu authored at least 42 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Calibrate-Extrapolate: Rethinking Prevalence Estimation with Black Box Classifiers.
CoRR, 2024

2023
Influence of Electric Traction Drive System Harmonics and Interharmonics on the Vibration of Key Locomotive Components.
IEEE Trans. Veh. Technol., October, 2023

Optimal Pair Selection Applied to Sentinel-2 Images for Mapping Ground Deformation Using Pixel Offset Tracking: A Case Study of the 2022 Menyuan Earthquake (Mw 6.9), China.
Remote. Sens., October, 2023

Reply to: The pitfalls of negative data bias for the T-cell epitope specificity challenge.
Nat. Mac. Intell., October, 2023

The Shapes of the Fourth Estate During the Pandemic: Profiling COVID-19 News Consumption in Eight Countries.
Proc. ACM Hum. Comput. Interact., 2023

Exploring 2-rank strategic weight manipulation in multiple attribute decision making and its applications in project review and university ranking.
Eng. Appl. Artif. Intell., 2023

How We Define Harm Impacts Data Annotations: Explaining How Annotators Distinguish Hateful, Offensive, and Toxic Comments.
CoRR, 2023

How to Train Your YouTube Recommender.
CoRR, 2023

Just Another Day on Twitter: A Complete 24 Hours of Twitter Data.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

BEM OTFS Receiver with EKF-based Channel Estimation and Interference Cancellation for High-Mobility Communications.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Incremental Recommendation Algorithm Based on the Influence Propagation Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Sensitivity Analysis for Dynamic Control of PSTNs with Skewed Distributions.
Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

2022
Measuring collective attention in online content.
SIGWEB Newsl., 2022

Automatic extraction of outcrop cavity based on a multiscale regional convolution neural network.
Comput. Geosci., 2022

Deriving 2-ranks from multiplicative preference relations in a group context: An investigation with axiomatic design.
Comput. Ind. Eng., 2022

Whose Advantage? Measuring Attention Dynamics across YouTube and Twitter on Controversial Topics.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

2021
Fuzzy Observer-Based Control for the Traction Dual Rectifiers in High-Speed Train.
IEEE Trans. Veh. Technol., 2021

Linguistic scale consistency issues in multi-granularity decision making contexts.
Appl. Soft Comput., 2021

AttentionFlow: Visualising Influence in Networks of Time Series.
Proceedings of the WSDM '21, 2021

Uncertainty-Aware Label Rectification for Domain Adaptive Mitochondria Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Cross-Partisan Discussions on YouTube: Conservatives Talk to Liberals but Liberals Don't Talk to Conservatives.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

The Role of Circulating Tumor Cells in Diagnosis of Cancer: Cancer and Circulating Tumor Cells.
Proceedings of the ICBBS 2021: 10th International Conference on Bioinformatics and Biomedical Science, Xiamen, China, October 29, 2021

2020
Unique Sharp Local Minimum in L1-minimization Complete Dictionary Learning.
J. Mach. Learn. Res., 2020

The 2-rank additive model with axiomatic design in multiple attribute decision making.
Eur. J. Oper. Res., 2020

An Approach to Improve System Performance in the Vehicle-Grid System Using Sliding Mode Control Under Multiple Operation Conditions.
IEEE Access, 2020

Variation across Scales: Measurement Fidelity under Twitter Data Sampling.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
A Passivity-Based Control of Euler-Lagrange Model for Suppressing Voltage Low-Frequency Oscillation in High-Speed Railway.
IEEE Trans. Ind. Informatics, 2019

Estimating Attention Flow in Online Video Networks.
Proc. ACM Hum. Comput. Interact., 2019

Unique Sharp Local Minimum in $\ell_1$-minimization Complete Dictionary Learning.
CoRR, 2019

Evading Anti-Malware Engines With Deep Reinforcement Learning.
IEEE Access, 2019

How is Attention Allocated?: Data-Driven Studies of Popularity and Engagement in Online Videos.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018
Scene Classification Based on the Sparse Homogeneous-Heterogeneous Topic Feature Model.
IEEE Trans. Geosci. Remote. Sens., 2018

Will This Video Go Viral: Explaining and Predicting the Popularity of Youtube Videos.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Beyond Views: Measuring and Predicting Engagement in Online Videos.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

2017
Scene Semantic Understanding Based on the Spatial Context Relations of Multiple Objects.
Remote. Sens., 2017

Local Identifiability of $\ell_1$-minimization Dictionary Learning: a Sufficient and Almost Necessary Condition.
J. Mach. Learn. Res., 2017

Beyond Views: Measuring and Predicting Engagement on YouTube Videos.
CoRR, 2017

2016
Dictionary learning: analysis of spatial gene expression data and local identifiability theory.
PhD thesis, 2016

Multi-object spatial relationship model for high spatial resolution scene classification.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

DataLab: a version data management and analytics system.
Proceedings of the 2nd International Workshop on BIG Data Software Engineering, 2016

2015
SMASH: A Cloud-Based Architecture for Big Data Processing and Visualization of Traffic Data.
Proceedings of the IEEE International Conference on Data Science and Data Intensive Systems, 2015


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