Kaiwen Dong

According to our database, Kaiwen Dong authored at least 25 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

QoI-Aware Configuration Adaptation and Heterogeneous Resource Allocation for Edge Video Analytics.

Zixuan He, Yanjing Sun, Beibei Zhang, Kaiwen Dong, Bowen Wang, Hongli Xu

IEEE Internet Things J., June, 2025

Transaction Categorization with Relational Deep Learning in QuickBooks.

Kaiwen Dong, Padmaja Jonnalagedda, Xiang Gao, Ayan Acharya, Maria Kissa, Mauricio Flores, Nitesh V. Chawla, Kamalika Das

CoRR, June, 2025

Node Duplication Improves Cold-start Link Prediction.

Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Mingxuan Ju, Neil Shah, Nitesh V. Chawla

Trans. Mach. Learn. Res., 2025

Universal Link Predictor By In-Context Learning on Graphs.

Kaiwen Dong, Haitao Mao, Zhichun Guo, Nitesh V. Chawla

Trans. Mach. Learn. Res., 2025

Spatial-Temporal-Geometric Graph Convolutional Network for 3-D Human Pose Estimation From Multiview Video.

Kaiwen Dong, Yu Zhou, Kévin Riou, Xiao Yun, Yanjing Sun, Kévin Subrin, Patrick Le Callet

IEEE Trans. Instrum. Meas., 2025

Heterogeneous modal collaborative training network for human action recognition.

Chenglong Xu, Xiao Yun, Yanjing Sun, Kaiwen Dong

Knowl. Based Syst., 2025

2024

Asymmetric network pseudo labels mutual refinement for unsupervised domain adaptation person re-identification.

Xiao Yun, Jiawang Chen, Xiaoguang Zhang, Kaiwen Dong, Song Li, Yanjing Sun

Multim. Tools Appl., December, 2024

Reinforcement Learning Based Tactile Sensing for Active Point Cloud Acquisition, Recognition and Localization.

Kévin Riou, Kaiwen Dong, Kévin Subrin, Patrick Le Callet

IEEE J. Sel. Top. Signal Process., April, 2024

Geometric Consistency-Guaranteed Spatio-Temporal Transformer for Unsupervised Multiview 3-D Pose Estimation.

Kaiwen Dong, Kévin Riou, Jingwen Zhu, Andréas Pastor, Kévin Subrin, Yu Zhou, Xiao Yun, Yanjing Sun, Patrick Le Callet

IEEE Trans. Instrum. Meas., 2024

MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension.

Khiem Le, Zhichun Guo, Kaiwen Dong, Xiaobao Huang, Bozhao Nan, Roshni G. Iyer, Xiangliang Zhang, Olaf Wiest, Wei Wang, Nitesh V. Chawla

CoRR, 2024

CORE: Data Augmentation for Link Prediction via Information Bottleneck.

Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla

CoRR, 2024

You do not have to train Graph Neural Networks at all on text-attributed graphs.

Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla

CoRR, 2024

Node Duplication Improves Cold-start Link Prediction.

Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Neil Shah, Nitesh V. Chawla

CoRR, 2024

Pure Message Passing Can Estimate Common Neighbor for Link Prediction.

Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Evaluating 3D Human Pose Estimation in Occluded Multi-Sensor Scenarios: Dataset and Annotation Approach.

Kévin Riou, Kaiwen Dong, Yujie Huang, Kévin Subrin, Patrick Le Callet, Yanjing Sun

Proceedings of the IEEE International Conference on Image Processing, 2024

Behavioral Recognition of Skeletal Data Based on Targeted Dual Fusion Strategy.

Xiao Yun, Chenglong Xu, Kévin Riou, Kaiwen Dong, Yanjing Sun, Song Li, Kévin Subrin, Patrick Le Callet

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

2023

Combining detailed appearance and multi-scale representation: a structure-context complementary network for human pose estimation.

Kaiwen Dong, Yanjing Sun, Xiaozhou Cheng, Xiaolin Wang, Bin Wang

Appl. Intell., April, 2023

Kinetic particles : from human pose estimation to an immersive and interactive piece of art questionning thought-movement relationships.

Mickael Lafontaine, Julie Cloarec-Michaud, Kévin Riou, Yujie Huang, Kaiwen Dong, Patrick Le Callet

Proceedings of the 2023 ACM International Conference on Interactive Media Experiences, 2023

From Temporal-Evolving to Spatial-Fixing: A Keypoints-Based Learning Paradigm for Visual Robotic Manipulation.

Kévin Riou, Kaiwen Dong, Kévin Subrin, Yanjing Sun, Patrick Le Callet

IROS, 2023

Heterogeneous Graph Masked Autoencoders.

Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla

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

2022

Gray Augmentation Exploration with All-Modality Center-Triplet Loss for Visible-Infrared Person Re-Identification.

Xiaozhou Cheng, Rui Li, Yanjing Sun, Yu Zhou, Kaiwen Dong

IEICE Trans. Inf. Syst., 2022

Knowledge self-distillation for visible-infrared cross-modality person re-identification.

Yu Zhou, Rui Li, Yanjing Sun, Kaiwen Dong, Song Li

Appl. Intell., 2022

Triplet attention multiple spacetime-semantic graph convolutional network for skeleton-based action recognition.

Yanjing Sun, Han Huang, Xiao Yun, Bin Yang, Kaiwen Dong

Appl. Intell., 2022

FakeEdge: Alleviate Dataset Shift in Link Prediction.

Kaiwen Dong, Yijun Tian, Zhichun Guo, Yang Yang, Nitesh V. Chawla

Proceedings of the Learning on Graphs Conference, 2022

2021

An Optimized NL2SQL System for Enterprise Data Mart.

Kaiwen Dong, Kai Lu, Xin Xia, David A. Cieslak, Nitesh V. Chawla

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021