12 citations · 37 across the 9 of their papers we have counts for
11 papers
TSGate: Timestep-Aware Gated Attention for Diffusion Transformers
Boyu Zhang, Yifan Liu, Shuxia Lin +3
Diffusion Transformers (DiTs) have emerged as the dominant architecture for high-fidelity image and video generation. Recent DiT systems increasingly use structured prompts for tra…
Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models
Boyu Zhang, Hongyang Yang, Xiao-Yang Liu
Sentiment analysis is a vital tool for uncovering insights from financial articles, news, and social media, shaping our understanding of market movements. Despite the impressive ca…
Data-aware customization of activation functions reduces neural network error
Fuchang Gao, Boyu Zhang
Activation functions play critical roles in neural networks, yet current off-the-shelf neural networks pay little attention to the specific choice of activation functions used. Her…
Detachable Novel Views Synthesis of Dynamic Scenes Using Distribution-Driven Neural Radiance Fields
Boyu Zhang, Wenbo Xu, Zheng Zhu +1
Representing and synthesizing novel views in real-world dynamic scenes from casual monocular videos is a long-standing problem. Existing solutions typically approach dynamic scenes…
TextRGNN: Residual Graph Neural Networks for Text Classification
Jiayuan Chen, Boyu Zhang, Yinfei Xu +1
Recently, text classification model based on graph neural network (GNN) has attracted more and more attention. Most of these models adopt a similar network paradigm, that is, using…
Auto-Encoding Score Distribution Regression for Action Quality Assessment
Boyu Zhang, Jiayuan Chen, Yinfei Xu +3
The action quality assessment (AQA) of videos is a challenging vision task since the relation between videos and action scores is difficult to model. Thus, AQA has been widely stud…
A Use of Even Activation Functions in Neural Networks
Fuchang Gao, Boyu Zhang
Despite broad interest in applying deep learning techniques to scientific discovery, learning interpretable formulas that accurately describe scientific data is very challenging be…
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization
Boyu Zhang, A. K. Qin, Hong Pan +1
Conventional DNN training paradigms typically rely on one training set and one validation set, obtained by partitioning an annotated dataset used for training, namely gross trainin…
Statistical Mechanical Analysis of Neural Network Pruning
Rupam Acharyya, Ankani Chattoraj, Boyu Zhang +2
Deep learning architectures with a huge number of parameters are often compressed using pruning techniques to ensure computational efficiency of inference during deployment. Despit…
Efficient Inference of CNNs via Channel Pruning
Boyu Zhang, Azadeh Davoodi, Yu Hen Hu
The deployment of Convolutional Neural Networks (CNNs) on resource constrained platforms such as mobile devices and embedded systems has been greatly hindered by their high impleme…
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks
Boyu Zhang, Azadeh Davoodi, Yu-Hen Hu
The ability to customize a trained Deep Neural Network (DNN) locally using user-specific data may greatly enhance user experiences, reduce development costs, and protect user's pri…