Kan Ren

Orcid: 0000-0002-4032-9615

According to our database1, Kan Ren authored at least 71 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Multistage Interaction Network for Remote Sensing Change Detection.
Remote. Sens., March, 2024

Automated Contrastive Learning Strategy Search for Time Series.
CoRR, 2024

CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.
CoRR, 2024

Benchmarking Data Science Agents.
CoRR, 2024

EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model.
CoRR, 2024

EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction.
CoRR, 2024

MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Recommender Systems - Frontiers and Practices
Springer, ISBN: 978-981-99-8963-8, 2024

2023
Maritime Infrared Small Target Detection Based on the Appearance Stable Isotropy Measure in Heavy Sea Clutter Environments.
Sensors, December, 2023

Maritime Small Target Detection Based on Appearance Stability and Depth-Normalized Motion Saliency in Infrared Video With Dense Sunglints.
IEEE Trans. Geosci. Remote. Sens., 2023

TaskBench: Benchmarking Large Language Models for Task Automation.
CoRR, 2023

Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals.
CoRR, 2023

Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling.
CoRR, 2023

Is Risk-Sensitive Reinforcement Learning Properly Resolved?
CoRR, 2023

AutoTaskFormer: Searching Vision Transformers for Multi-task Learning.
CoRR, 2023

Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling.
Proceedings of the International Conference on Machine Learning, 2023

SIMPLE: Specialized Model-Sample Matching for Domain Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Inference Efficient Deep Ensemble Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Total Variation-Based Interframe Infrared Patch-Image Model for Small Target Detection.
IEEE Geosci. Remote. Sens. Lett., 2022

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
CoRR, 2022

Domain Generalization using Pretrained Models without Fine-tuning.
CoRR, 2022

Infrared small target detection via region super resolution generative adversarial network.
Appl. Intell., 2022

Infrared target tracking based on proximal robust principal component analysis method.
Appl. Intell., 2022

Bootstrapped Transformer for Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reinforcement Learning with Automated Auxiliary Loss Search.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Hierarchical Convolution Fusion-Based Adaptive Siamese Network for Infrared Target Tracking.
IEEE Trans. Instrum. Meas., 2021

Robust object tracking using sparse color appearance model.
J. Electronic Imaging, 2021

3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Towards Generating Real-World Time Series Data.
Proceedings of the IEEE International Conference on Data Mining, 2021

CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Universal Trading for Order Execution with Oracle Policy Distillation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Infrared target tracking based on proximal robust principal component analysis method.
CoRR, 2020

Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Deep Recurrent Survival Model for Unbiased Ranking.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019
Unmanned Aerial Vehicle Video-Based Target Tracking Algorithm Using Sparse Representation.
IEEE Internet Things J., 2019

Pulses Classification Based on Sparse Auto-Encoders Neural Networks.
IEEE Access, 2019

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Deep Landscape Forecasting for Real-time Bidding Advertising.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Recurrent Survival Analysis.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Guiding the One-to-One Mapping in CycleGAN via Optimal Transport.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising.
IEEE Trans. Knowl. Data Eng., 2018

Inclinometer Assembly Error Calibration and Horizontal Image Correction in Photoelectric Measurement Systems.
Sensors, 2018

A Level Set Method for Infrared Image Segmentation Using Global and Local Information.
Remote. Sens., 2018

Infrared Image Enhancement Using Adaptive Histogram Partition and Brightness Correction.
Remote. Sens., 2018

Total Variation Regularization Term-Based Low-Rank and Sparse Matrix Representation Model for Infrared Moving Target Tracking.
Remote. Sens., 2018

Dual-correlation transformation for image stitching.
J. Electronic Imaging, 2018

Activation Maximization Generative Adversarial Nets.
Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Salient motion detection using proximal robust principal component analysis method.
J. Electronic Imaging, 2017

Managing Risk of Bidding in Display Advertising.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Real-Time Bidding by Reinforcement Learning in Display Advertising.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Volume Ranking and Sequential Selection in Programmatic Display Advertising.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Optimal Real-Time Bidding Frameworks Discussion.
CoRR, 2016

Functional Bid Landscape Forecasting for Display Advertising.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Product-Based Neural Networks for User Response Prediction.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

User Response Learning for Directly Optimizing Campaign Performance in Display Advertising.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
A Graph Traversal Based Approach to Answer Non-Aggregation Questions over DBpedia.
Proceedings of the Semantic Technology - 5th Joint International Conference, 2015

2010
System for intuitive interaction with large-scale visual databases.
PhD thesis, 2010

Interactive search and browsing interface for large-scale visual repositories.
Multim. Tools Appl., 2010

User study of the free-eye photo browsing interface.
Proceedings of the 11th International Workshop on Image Analysis for Multimedia Interactive Services, 2010

2009
FreeEye: intuitive summarisation of photo collections.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

FreeEye: interactive intuitive interface for large-scale image browsing.
Proceedings of the 17th International Conference on Multimedia 2009, 2009


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