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Botao WANG

5 accepted papers

2026

Cognitive Enhancement Chain-of-Thought Towards Enhancing Style Learning and Content Preservation for Long Style Transfer

AAAI 2026technical

Current text style transfer task mainly focuses on short texts, while the field has not been fully developed for long texts. Considering the richer semantics and more complex sentence structures in long text sequences, existing methods that employ traditional style-content disentanglement ways and l

Cited by 0SourcePDFScholar
2024

Enhancing Emotion-Cause Pair Extraction in Conversations via Center Event Detection and Reasoning

EMNLP 2024finding

Emotion-Cause Pair Extraction in Conversations (ECPEC) aims to identify emotion utterances and their corresponding cause utterances in unannotated conversations, this task that has garnered increasing attention recently. Previous methods often apply Emotion-Cause Pair Extraction (ECPE) task models,…

Cited by 1SourcePDFScholar
2023

Deep Insights into Noisy Pseudo Labeling on Graph Data

NeurIPS 2023poster

Pseudo labeling (PL) is a wide-applied strategy to enlarge the labeled dataset by self-annotating the potential samples during the training process. Several works have shown that it can improve the graph learning model performance in general. However, we notice that the incorrect labels can be fatal…

2023

Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation

AAAI 2023technical

There has been a recent surge of interest in introducing transformers to 3D human pose estimation (HPE) due to their powerful capabilities in modeling long-term dependencies. However, existing transformer-based methods treat body joints as equally important inputs and ignore the prior knowledge of h…

Cited by 51SourcePDFScholar
2020

TRP: Trained Rank Pruning for Efficient Deep Neural Networks

IJCAI 2020poster

To enable DNNs on edge devices like mobile phones, low-rank approximation has been widely adopted because of its solid theoretical rationale and efficient implementations. Several previous works attempted to directly approximate a pre-trained model by low-rank decomposition; however, small approxima…

Cited by 0SourcePDFScholar