205 citations · 268 across the 22 of their papers we have counts for
15 papers
Recognizing Conditional Causal Relationships about Emotions and Their Corresponding Conditions
Xinhong Chen, Zongxi Li, Yaowei Wang +3
The study of causal relationships between emotions and causes in texts has recently received much attention. Most works focus on extracting causally related clauses from documents.…
Exploring Causal Learning through Graph Neural Networks: An In-depth Review
Simi Job, Xiaohui Tao, Taotao Cai +4
In machine learning, exploring data correlations to predict outcomes is a fundamental task. Recognizing causal relationships embedded within data is pivotal for a comprehensive und…
Label Supervised LLaMA Finetuning
Zongxi Li, Xianming Li, Yuzhang Liu +5
The recent success of Large Language Models (LLMs) has gained significant attention in both academia and industry. Substantial efforts have been made to enhance the zero- and few-s…
Recurrent Attention Networks for Long-text Modeling
Xianming Li, Zongxi Li, Xiaotian Luo +5
Self-attention-based models have achieved remarkable progress in short-text mining. However, the quadratic computational complexities restrict their application in long text proces…
Search By Image: Deeply Exploring Beneficial Features for Beauty Product Retrieval
Mingqiang Wei, Qian Sun, Haoran Xie +2
Searching by image is popular yet still challenging due to the extensive interference arose from i) data variations (e.g., background, pose, visual angle, brightness) of real-world…
Sketch2Cloth: Sketch-based 3D Garment Generation with Unsigned Distance Fields
Yi He, Haoran Xie, Kazunori Miyata
3D model reconstruction from a single image has achieved great progress with the recent deep generative models. However, the conventional reconstruction approaches with template me…