no code implementations • EMNLP 2021 • Linli Xu, Sijie Teng, Ruoyu Zhao, Junliang Guo, Chi Xiao, Deqiang Jiang, Bo Ren
Hierarchical multi-label text classification (HMTC) deals with the challenging task where an instance can be assigned to multiple hierarchically structured categories at the same time.
Multi Label Text Classification
Multi-Label Text Classification
+1
no code implementations • 7 Jan 2025 • Pengcheng Xu, Qingnan Fan, Fei Kou, Shuai Qin, Hong Gu, Ruoyu Zhao, Charles Ling, Boyu Wang
Visual prompt, a pair of before-and-after edited images, can convey indescribable imagery transformations and prosper in image editing.
no code implementations • 6 Jan 2025 • Ruoyu Zhao, Xiantao Jiang, F. Richard Yu, Victor C. M. Leung, Tao Wang, Shaohu Zhang
Transfer learning is applied to gain from a source emotional speech dataset to the target corpus for emotion recognition.
no code implementations • 7 Nov 2024 • Shuhong Zheng, Zhipeng Bao, Ruoyu Zhao, Martial Hebert, Yu-Xiong Wang
Beyond high-fidelity image synthesis, diffusion models have recently exhibited promising results in dense visual perception tasks.
no code implementations • 7 Oct 2024 • Yan Zhong, Ruoyu Zhao, Chao Wang, Qinghai Guo, JianGuo Zhang, Zhichao Lu, Luziwei Leng
However, applying the highly capable SSMs to SNNs for long sequences learning poses three major challenges: (1) The membrane potential is determined by the past spiking history of the neuron, leading to reduced efficiency for sequence modeling in parallel computing scenarios.
1 code implementation • 18 Apr 2024 • Wei Wu, Qingnan Fan, Shuai Qin, Hong Gu, Ruoyu Zhao, Antoni B. Chan
Precise image editing with text-to-image models has attracted increasing interest due to their remarkable generative capabilities and user-friendly nature.
no code implementations • 27 Mar 2024 • Ruoyu Zhao, Qingnan Fan, Fei Kou, Shuai Qin, Hong Gu, Wei Wu, Pengcheng Xu, Mingrui Zhu, Nannan Wang, Xinbo Gao
Two key techniques are introduced into InstructBrush, Attention-based Instruction Optimization and Transformation-oriented Instruction Initialization, to address the limitations of the previous method in terms of inversion effects and instruction generalization.
no code implementations • 24 Nov 2023 • Ruoyu Zhao, Mingrui Zhu, Shiyin Dong, Nannan Wang, Xinbo Gao
We propose CatVersion, an inversion-based method that learns the personalized concept through a handful of examples.
no code implementations • 28 Jan 2023 • Ruoyu Zhao, Mingrui Zhu, Xiaoyu Wang, Nannan Wang
GPD contains two models: a teacher network with GAN Prior and a student network that fulfills end-to-end translation.