Kaiwen Dong

According to our database, Kaiwen Dong authored at least 18 papers between 2021 and 2024.

Collaborative distances:

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

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

Universal Link Predictor By In-Context Learning on Graphs.

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

CoRR, 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

Pure Message Passing Can Estimate Common Neighbor for Link Prediction.

Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla

CoRR, 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