activity
20182023
most citedDisentangled Makeup Transfer with Generative Adversarial Network

20 citations · 23 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2023

Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding

Caoyun Fan, Jidong Tian, Yitian Li +3

Chain-of-Thought (CoT) is a technique that guides Large Language Models (LLMs) to decompose complex tasks into multi-step reasoning through intermediate steps in natural language f…

cs.CL2023

Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality

Caoyun Fan, Wenqing Chen, Jidong Tian +3

Multi-Label Text Classification (MLTC) aims to assign the most relevant labels to each given text. Existing methods demonstrate that label dependency can help to improve the model'…

cs.CL2023

Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization

Caoyun Fan, Wenqing Chen, Jidong Tian +3

Counterfactually-Augmented Data (CAD) -- minimal editing of sentences to flip the corresponding labels -- has the potential to improve the Out-Of-Distribution (OOD) generalization…

cs.CV2023

MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning

Caoyun Fan, Wenqing Chen, Jidong Tian +3

When modeling related tasks in computer vision, Multi-Task Learning (MTL) can outperform Single-Task Learning (STL) due to its ability to capture intrinsic relatedness among tasks.…

cs.CL2023

Improving the Out-Of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough

Caoyun Fan, Wenqing Chen, Jidong Tian +3

Counterfactually-Augmented Data (CAD) has the potential to improve language models' Out-Of-Distribution (OOD) generalization capability, as CAD induces language models to exploit c…

cs.LG2021★ 1 cited

Dependent Multi-Task Learning with Causal Intervention for Image Captioning

Wenqing Chen, Jidong Tian, Caoyun Fan +2

Recent work for image captioning mainly followed an extract-then-generate paradigm, pre-extracting a sequence of object-based features and then formulating image captioning as a si…

cs.CV2019★ 20 cited

Disentangled Makeup Transfer with Generative Adversarial Network

Honglun Zhang, Wenqing Chen, Hao He +1

Facial makeup transfer is a widely-used technology that aims to transfer the makeup style from a reference face image to a non-makeup face. Existing literature leverage the adversa…

cs.CV2018★ 2 cited

Show, Attend and Translate: Unpaired Multi-Domain Image-to-Image Translation with Visual Attention

Honglun Zhang, Wenqing Chen, Jidong Tian +2

Recently unpaired multi-domain image-to-image translation has attracted great interests and obtained remarkable progress, where a label vector is utilized to indicate multi-domain…