Changjian Wang

Orcid: 0000-0002-1160-0365

According to our database1, Changjian Wang authored at least 75 papers between 2013 and 2024.

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Bibliography

2024
SIAT: Document-level Event Extraction via Spatiality-Augmented Interaction Model with Adaptive Thresholding.
ACM Trans. Asian Low Resour. Lang. Inf. Process., October, 2024

D-FaST: Cognitive Signal Decoding With Disentangled Frequency-Spatial-Temporal Attention.
IEEE Trans. Cogn. Dev. Syst., August, 2024

Study on the Equivalence Transformation between Blasting Vibration Velocity and Acceleration.
Sensors, March, 2024

An integrated uncertainty analysis method for the risk assessment of hydrogen refueling stations.
Reliab. Eng. Syst. Saf., 2024

Learning incremental audio-visual representation for continual multimodal understanding.
Knowl. Based Syst., 2024

D-FaST: Cognitive Signal Decoding with Disentangled Frequency-Spatial-Temporal Attention.
CoRR, 2024

Trusted multi-scale classification framework for whole slide image.
Biomed. Signal Process. Control., 2024

Scalable Swin Transformer network for brain tumor segmentation from incomplete MRI modalities.
Artif. Intell. Medicine, 2024

Instance-Level Scaling and Dynamic Margin-Alignment Knowledge Distillation.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

MoveFormer: Spatial Graph Periodic Injection Network for Next POI Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2024

G2Vec: Spatial-Temporal Trajectory Generation Network based on Multi-Resolution Feature Correlation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Multi-Organ Segmentation Based on Multi-Granularity Prototype Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

At Which Training Stage Does Code Data Help LLMs Reasoning?
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DualU-Net Mixed with Convolution and Transformers.
Proceedings of the International Conference on Computer Vision and Deep Learning, 2024

2023
GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformer.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

CasViGE: Learning robust point cloud registration with cascaded visual-geometric encoding.
Comput. Aided Geom. Des., July, 2023

DGSNet: Dual Graph Structure Network for Emotion Recognition in Multimodal Conversations.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

GRACE: Gradient-guided Controllable Retrieval for Augmenting Attribute-based Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Wound Segmentation with Dynamic Illumination Correction and Dual-view Semantic Fusion.
CoRR, 2022

Trusted Multi-Scale Classification Framework for Whole Slide Image.
CoRR, 2022

Advances in Cooperative Target Searching by Multi-UAVs.
Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

An Emotion Evolution Network for Emotion Recognition in Conversation.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Similarity-Driven Adaptive Prototypical Network for Class-incremental Few-shot Named Entity Recognition.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Geometric Transformer for Fast and Robust Point Cloud Registration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Exploring Relational Semantics for Inductive Knowledge Graph Completion.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Two-Stage COVID-19 Lung Segmentation from CT Images by Integrating Rib Outlining and Contour Refinement.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Scalable Multi-view Subspace Clustering with Unified Anchors.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Batch Weighted Nuclear-Norm Minimization for Medical Image Sequence Segmentation.
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

USET : A network based on Utterance hidden State transfEr for Task-oriented dialogue.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Neural Ranker for Open-Domain Question Answering via Sentence-Level Jump Encoding.
Proceedings of the International Joint Conference on Neural Networks, 2021

Semi-supervised medical image classification based on CamMix.
Proceedings of the International Joint Conference on Neural Networks, 2021

SEED: A Cross-Layer Semantic Enhanced SLU Model With Role Context Differentiated Fusion.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

T-Mask: An Active and Accurate Dialogue State Tracking with Token Mask Prediction.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020
Binary surface smoothing for abnormal lung segmentation.
Comput. Graph., 2020

Recent Trends in Deep Learning Based Open-Domain Textual Question Answering Systems.
IEEE Access, 2020

RAD: Reinforced Attention Decoder Model On Question Generation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Neighborhood Aggregation Embedding Model for Link Prediction in Knowledge Graphs.
Proceedings of the Web Engineering - 20th International Conference, 2020

2019
Towards a delivery scheme for speedup of data backup in distributed storage systems using erasure codes.
J. Supercomput., 2019

Estimating Rainfall Interception of Vegetation Canopy from MODIS Imageries in Southern China.
Remote. Sens., 2019

Mitigating stragglers to avoid QoS violation for time-critical applications through dynamic server blacklisting.
Future Gener. Comput. Syst., 2019

Wound Segmentation Network Based on Location Information Enhancement.
IEEE Access, 2019

Capturing Semantic and Syntactic Information for Link Prediction in Knowledge Graphs.
Proceedings of the Semantic Web - ISWC 2019, 2019

TFPN: Twin Feature Pyramid Networks for Object Detection.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Capturing User and Product Information for Sentiment Classification via Hierarchical Separated Attention and Neural Collaborative Filtering.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018
Learning Environmental Sounds with Multi-scale Convolutional Neural Network.
CoRR, 2018

Corrigendum to "A Composite Model of Wound Segmentation Based on Traditional Methods and Deep Neural Networks".
Comput. Intell. Neurosci., 2018

A Composite Model of Wound Segmentation Based on Traditional Methods and Deep Neural Networks.
Comput. Intell. Neurosci., 2018

Inspecting Influences on Likes and Comments of Photos in Instagram.
Proceedings of the 2018 IEEE SmartWorld, 2018

A Cluster Feature Based Approach for QoS Prediction in Web Service Recommendation.
Proceedings of the IEEE Symposium on Service-Oriented System Engineering, 2018

Learning Environmental Sounds with Multi-scale Convolutional Neural Network.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multi-LCNN: A Hybrid Neural Network Based on Integrated Time-Frequency Characteristics for Acoustic Scene Classification.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

FVR-SGD: A New Flexible Variance-Reduction Method for SGD on Large-Scale Datasets.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Fd-Mobilenet: Improved Mobilenet with a Fast Downsampling Strategy.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Meeting deadlines for approximation processing in MapReduce environments.
Frontiers Inf. Technol. Electron. Eng., 2017

SDF-NN: A Deep Neural Network with Semantic Dropping and Fusion for Natural Language Inference.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

ML-NA: A Machine Learning Based Node Performance Analyzer Utilizing Straggler Statistics.
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

Multi-Modes Cascade SVMs: Fast Support Vector Machines in Distributed System.
Proceedings of the Information Science and Applications 2017, 2017

A framework of wound segmentation based on deep convolutional networks.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
An Efficient MapReduce Computing Model for Imprecise Applications.
Int. J. Web Serv. Res., 2016

hi-RF: Incremental Learning Random Forest for large-scale multi-class Data Classification.
CoRR, 2016

Hopf bifurcation for neutral-type neural network model with two delays.
Appl. Math. Comput., 2016

DISVMs: Fast SVMs Training on Large-Scale Data Sets.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

An Approach for Modeling and Ranking Node-Level Stragglers in Cloud Datacenters.
Proceedings of the IEEE International Conference on Services Computing, 2016

2015
Partial Clones for Stragglers in MapReduce.
Proceedings of the Intelligent Computation in Big Data Era, 2015

Parallel Data Regeneration Based on Multiple Trees with Network Coding in Distributed Storage System.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Deadline-Oriented Task Scheduling for MapReduce Environments.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

2014
Optimal Task Scheduling in MapReduce.
Proceedings of the 9th IEEE International Conference on Networking, 2014

Repairing Multiple Data Losses by Parallel Max-min Trees Based on Regenerating Codes in Distributed Storage Systems.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2014

Reducing Repair Traffic with Exact and Uncoded Repair in Distributed Storage Systems: Intersecting Zigzag Sets Codes on Hierarchical Codes.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

MARS: Scheduling non-local tasks in mapreduce.
Proceedings of the IEEE 3rd International Conference on Cloud Computing and Intelligence Systems, 2014

MapCheckReduce: An Improved MapReduce Computing Model for Imprecise Applications.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

2013
OPTAS: Optimal Data Placement in MapReduce.
Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems, 2013


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