publications

2024

1. Preprint

   Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget

   Vikash Sehwag , Xianghao Kong , Jingtao Li , and 2 more authors

   2024

   Code
2. Preprint

   Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training

   Yunshu Wu , Yingtao Luo , Xianghao Kong , and 2 more authors

   2024
3. ICLR

   Interpretable Diffusion via Information Decomposition

   Xianghao Kong* , Ollie Liu* , Dani Yogatama , and 1 more author

   2024

   Video Code

4. ACL

   Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks

   Haz Sameen Shahgir , Xianghao Kong , Greg Ver Steeg , and 1 more author

   2024

   Code

2023

1. ICLR

   Information-Theoretic Diffusion

   Xianghao Kong , Rob Brekelmans , and Greg Ver Steeg

   2023

   Video Code

2022

1. PESGM

   Dynamic parameter estimation with physics-based neural ordinary differential equations

   Xianghao Kong , Koji Yamashita , Brandon Foggo , and 1 more author

   In 2022 IEEE Power & Energy Society General Meeting (PESGM) , 2022

2021

1. IEEETrans

   Online Voltage Event Detection Using Synchrophasor Data With Structured Sparsity-Inducing Norms

   Xianghao Kong , Brandon Foggo , Koji Yamashita , and 1 more author

   IEEE Transactions on Power Systems, 2021

2020

1. IEEETrans

   CTNN: A convolutional tensor-train neural network for multi-task brainprint recognition

   Xuanyu Jin , Jiajia Tang , Xianghao Kong , and 4 more authors

   IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020

2018

1. BIBM

   Task-independent eeg identification via low-rank matrix decomposition

   Xianghao Kong , Wanzeng Kong , Qiaonan Fan , and 2 more authors

   In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) , 2018

   Code