80 citations · 208 across the 9 of their papers we have counts for
9 papers
Accelerating Large Batch Training via Gradient Signal to Noise Ratio (GSNR)
Guo-qing Jiang, Jinlong Liu, Zixiang Ding +2
As models for nature language processing (NLP), computer vision (CV) and recommendation systems (RS) require surging computation, a large number of GPUs/TPUs are paralleled as a la…
Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study
Zengzhi Wang, Qiming Xie, Yi Feng +3
Recently, ChatGPT has drawn great attention from both the research community and the public. We are particularly interested in whether it can serve as a universal sentiment analyze…
Multimodal Emotion-Cause Pair Extraction in Conversations
Fanfan Wang, Zixiang Ding, Rui Xia +2
Emotion cause analysis has received considerable attention in recent years. Previous studies primarily focused on emotion cause extraction from texts in news articles or microblogs…
BNAS-v2: Memory-efficient and Performance-collapse-prevented Broad Neural Architecture Search
Zixiang Ding, Yaran Chen, Nannan Li +1
In this paper, we propose BNAS-v2 to further improve the efficiency of NAS, embodying both superiorities of BCNN simultaneously. To mitigate the unfair training issue of BNAS, we e…
BNAS:An Efficient Neural Architecture Search Approach Using Broad Scalable Architecture
Zixiang Ding, Yaran Chen, Nannan Li +3
In this paper, we propose Broad Neural Architecture Search (BNAS) where we elaborately design broad scalable architecture dubbed Broad Convolutional Neural Network (BCNN) to solve…
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts
Rui Xia, Zixiang Ding
Emotion cause extraction (ECE), the task aimed at extracting the potential causes behind certain emotions in text, has gained much attention in recent years due to its wide applica…
RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction
Rui Xia, Mengran Zhang, Zixiang Ding
The emotion cause extraction (ECE) task aims at discovering the potential causes behind a certain emotion expression in a document. Techniques including rule-based methods, traditi…
From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification
Zixiang Ding, Huihui He, Mengran Zhang +1
Emotion cause identification aims at identifying the potential causes that lead to a certain emotion expression in text. Several techniques including rule based methods and traditi…
Densely Connected Bidirectional LSTM with Applications to Sentence Classification
Zixiang Ding, Rui Xia, Jianfei Yu +2
Deep neural networks have recently been shown to achieve highly competitive performance in many computer vision tasks due to their abilities of exploring in a much larger hypothesi…