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Xianghao Kong
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Task-independent eeg identification via low-rank matrix decomposition
X Kong, W Kong, Q Fan, Q Zhao, A Cichocki
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
33*2018
Online event detection in synchrophasor data with graph signal processing
J Shi, B Foggo, X Kong, Y Cheng, N Yu, K Yamashita
2020 IEEE International conference on communications, control, and computing …, 2020
322020
CTNN: A convolutional tensor-train neural network for multi-task brainprint recognition
X Jin, J Tang, X Kong, Y Peng, J Cao, Q Zhao, W Kong
IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 103-112, 2020
252020
Interpretable Diffusion via Information Decomposition
X Kong*, O Liu*, H Li, D Yogatama, GV Steeg
International Conference on Learning Representations (ICLR) 2024, 2024
142024
Information-Theoretic Diffusion
X Kong, R Brekelmans, GV Steeg
International Conference on Learning Representations (ICLR) 2023, 2023
112023
Dynamic parameter estimation with physics-based neural ordinary differential equations
X Kong, K Yamashita, B Foggo, N Yu
2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022
112022
Online voltage event detection using synchrophasor data with structured sparsity-inducing norms
X Kong, B Foggo, K Yamashita, N Yu
IEEE Transactions on Power Systems 37 (5), 3506-3515, 2021
62021
A Dynamic Behavior-Based Bulk Power System Event Signature Library With Empirical Clustering
K Yamashita, B Foggo, X Kong, Y Cheng, J Shi, N Yu
IEEE Access 10, 96307-96321, 2022
32022
Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks
HS Shahgir, X Kong, GV Steeg, Y Dong
Findings of ACL 2024, 2023
22023
Exploring the Design Space of Diffusion Bridge Models via Stochasticity Control
S Zhang, Y Cheng, X Kong, GV Steeg
arXiv preprint arXiv:2410.21553, 2024
2024
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget
V Sehwag, X Kong, J Li, M Spranger, L Lyu
arXiv preprint arXiv:2407.15811, 2024
2024
Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training
Y Wu, Y Luo, X Kong, EE Papalexakis, GV Steeg
The Conference on Neural Information Processing Systems (NeurIPS) 2024, 2024
2024
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Articles 1–12