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Kaiwen Dong
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2020 – today
- 2024
- [j6]Kévin Riou, Kaiwen Dong, Kévin Subrin, Patrick Le Callet:
Reinforcement Learning Based Tactile Sensing for Active Point Cloud Acquisition, Recognition and Localization. IEEE J. Sel. Top. Signal Process. 18(3): 299-311 (2024) - [j5]Kaiwen Dong, Kévin Riou, Jingwen Zhu, Andréas Pastor, Kévin Subrin, Yu Zhou, Xiao Yun, Yanjing Sun, Patrick Le Callet:
Geometric Consistency-Guaranteed Spatio-Temporal Transformer for Unsupervised Multiview 3-D Pose Estimation. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [c6]Xiao Yun, Chenglong Xu, Kévin Riou, Kaiwen Dong, Yanjing Sun, Song Li, Kévin Subrin, Patrick Le Callet:
Behavioral Recognition of Skeletal Data Based on Targeted Dual Fusion Strategy. AAAI 2024: 6917-6925 - [i8]Kaiwen Dong, Haitao Mao, Zhichun Guo, Nitesh V. Chawla:
Universal Link Predictor By In-Context Learning on Graphs. CoRR abs/2402.07738 (2024) - [i7]Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Neil Shah, Nitesh V. Chawla:
Node Duplication Improves Cold-start Link Prediction. CoRR abs/2402.09711 (2024) - [i6]Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla:
You do not have to train Graph Neural Networks at all on text-attributed graphs. CoRR abs/2404.11019 (2024) - [i5]Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla:
CORE: Data Augmentation for Link Prediction via Information Bottleneck. CoRR abs/2404.11032 (2024) - [i4]Khiem Le, Zhichun Guo, Kaiwen Dong, Xiaobao Huang, Bozhao Nan, Roshni G. Iyer, Xiangliang Zhang, Olaf Wiest, Wei Wang, Nitesh V. Chawla:
MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension. CoRR abs/2406.06777 (2024) - 2023
- [j4]Kaiwen Dong, Yanjing Sun, Xiaozhou Cheng, Xiaolin Wang, Bin Wang:
Combining detailed appearance and multi-scale representation: a structure-context complementary network for human pose estimation. Appl. Intell. 53(7): 8097-8113 (2023) - [c5]Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla:
Heterogeneous Graph Masked Autoencoders. AAAI 2023: 9997-10005 - [c4]Kévin Riou, Kaiwen Dong, Kévin Subrin, Yanjing Sun, Patrick Le Callet:
From Temporal-Evolving to Spatial-Fixing: A Keypoints-Based Learning Paradigm for Visual Robotic Manipulation. IROS 2023: 1728-1734 - [c3]Mickael Lafontaine, Julie Cloarec-Michaud, Kévin Riou, Yujie Huang, Kaiwen Dong, Patrick Le Callet:
Kinetic particles : from human pose estimation to an immersive and interactive piece of art questionning thought-movement relationships. IMX 2023: 382-385 - [i3]Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla:
Pure Message Passing Can Estimate Common Neighbor for Link Prediction. CoRR abs/2309.00976 (2023) - 2022
- [j3]Yanjing Sun, Han Huang, Xiao Yun, Bin Yang, Kaiwen Dong:
Triplet attention multiple spacetime-semantic graph convolutional network for skeleton-based action recognition. Appl. Intell. 52(1): 113-126 (2022) - [j2]Yu Zhou, Rui Li, Yanjing Sun, Kaiwen Dong, Song Li:
Knowledge self-distillation for visible-infrared cross-modality person re-identification. Appl. Intell. 52(9): 10617-10631 (2022) - [j1]Xiaozhou Cheng, Rui Li, Yanjing Sun, Yu Zhou, Kaiwen Dong:
Gray Augmentation Exploration with All-Modality Center-Triplet Loss for Visible-Infrared Person Re-Identification. IEICE Trans. Inf. Syst. 105-D(7): 1356-1360 (2022) - [c2]Kaiwen Dong, Yijun Tian, Zhichun Guo, Yang Yang, Nitesh V. Chawla:
FakeEdge: Alleviate Dataset Shift in Link Prediction. LoG 2022: 56 - [i2]Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla:
Heterogeneous Graph Masked Autoencoders. CoRR abs/2208.09957 (2022) - [i1]Kaiwen Dong, Yijun Tian, Zhichun Guo, Yang Yang, Nitesh V. Chawla:
FakeEdge: Alleviate Dataset Shift in Link Prediction. CoRR abs/2211.15899 (2022) - 2021
- [c1]Kaiwen Dong, Kai Lu, Xin Xia, David A. Cieslak, Nitesh V. Chawla:
An Optimized NL2SQL System for Enterprise Data Mart. ECML/PKDD (5) 2021: 335-350
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last updated on 2024-10-23 20:36 CEST by the dblp team
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