2026 Bing Xiang: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	53	4738	4605	2204	2127	147	14338

Overview

Bing Xiang is a researcher affiliated with Amazon in the United States, with a primary focus on computer science and its subfields. Their work spans a variety of topics centered on artificial intelligence, natural language processing, and multimodal machine learning applications.

Their research portfolio includes contributions to several major venues. Frequent publication outlets for Bing Xiang include:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Ocean Engineering
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Bing Xiang's work is primarily grounded in computer science with a substantial focus on artificial intelligence. Other areas of research engagement include computer vision and pattern recognition, information systems, computer networks and communications, and ocean engineering.

The main research topics they address include:

Topic Modeling
Natural Language Processing Techniques
Multimodal Machine Learning Applications
Software Engineering Research
Advanced Text Analysis Techniques
Domain Adaptation and Few-Shot Learning
Machine Learning and Data Classification

Recent publications authored or coauthored by Bing Xiang illustrate their contributions to natural language processing and machine learning fields:

"Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
"Pairwise Supervised Contrastive Learning of Sentence Representations," 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
"Structured Prediction as Translation between Augmented Natural Languages," 2021, arXiv (Cornell University)
"Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
"Multi-lingual Evaluation of Code Generation Models," 2022, arXiv (Cornell University)

Bing Xiang frequently collaborates with a number of researchers, including:

Ramesh Nallapati
Patrick Ng
Zhiguo Wang
Cícero Nogueira dos Santos
Henghui Zhu

Best Publications

Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

Ramesh Nallapati;Bowen Zhou;Cicero Nogueira dos santos;Caglar Gulcehre

2451
Citations
A Structured Self-Attentive Sentence Embedding.

Zhouhan Lin;Minwei Feng;Cicero Nogueira dos Santos;Mo Yu

1841
Citations
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs

Wenpeng Yin;Hinrich Schütze;Bing Xiang;Bowen Zhou

1087
Citations
OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations

Pramuditha Perera;Ramesh Nallapati;Bing Xiang

578
Citations
Classifying Relations by Ranking with Convolutional Neural Networks

Cicero dos Santos;Bing Xiang;Bowen Zhou

553
Citations
LSTM-based Deep Learning Models for Non-factoid Answer Selection

Ming Tan;Cicero dos Santos;Bing Xiang;Bowen Zhou

506
Citations
Attentive Pooling Networks

Cícero Nogueira dos Santos;Ming Tan;Bing Xiang;Bowen Zhou

395
Citations
Applying deep learning to answer selection: A study and an open task

Minwei Feng;Bing Xiang;Michael R. Glass;Lidan Wang

393
Citations
The SuperSID project: exploiting high-level information for high-accuracy speaker recognition

D. Reynolds;W. Andrews;J. Campbell;J. Navratil

356
Citations
Improved Neural Relation Detection for Knowledge Base Question Answering

Mo Yu;Wenpeng Yin;Kazi Saidul Hasan;Cícero Nogueira dos Santos

341
Citations
Improved Representation Learning for Question Answer Matching

Ming Tan;Cícero Nogueira dos Santos;Bing Xiang;Bowen Zhou

288
Citations
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering

Zhiguo Wang;Patrick Ng;Xiaofei Ma;Ramesh Nallapati

240
Citations
Sequence-to-Sequence RNNs for Text Summarization

Ramesh Nallapati;Bing Xiang;Bowen Zhou

236
Citations
Combining Outputs from Multiple Machine Translation Systems

Antti-Veikko Rosti;Necip Fazil Ayan;Bing Xiang;Spyros Matsoukas

219
Citations
Short-time Gaussianization for robust speaker verification

Bing Xiang;Upendra V. Chaudhari;Jiri Navratil;Ganesh N. Ramaswamy

196
Citations
Structured Prediction as Translation between Augmented Natural Languages

Giovanni Paolini;Ben Athiwaratkun;Jason Krone;Jie Ma

182
Citations
Supporting Clustering with Contrastive Learning

Dejiao Zhang;Feng Nan;Xiaokai Wei;Shang-Wen Li

177
Citations
Efficient text-independent speaker verification with structural Gaussian mixture models and neural network

Bing Xiang;T. Berger

169
Citations
Simple Question Answering by Attentive Convolutional Neural Network

Wenpeng Yin;Mo Yu;Bing Xiang;Bowen Zhou

166
Citations
Dependency-based Convolutional Neural Networks for Sentence Embedding

Mingbo Ma;Liang Huang;Bowen Zhou;Bing Xiang

153
Citations

Frequent Co-Authors

Bowen Zhou IBM (United States)

Ramesh Nallapati Amazon (United States)

Peng Xu Chinese Academy of Sciences

Mo Yu IBM (United States)

Kathleen R. McKeown Columbia University

Liang Huang Oregon State University

Richard Schwartz Brown University

Hinrich Schütze Ludwig-Maximilians-Universität München

John Makhoul Raytheon (United States)

Caglar Gulcehre DeepMind (United Kingdom)

External Links

Personal website of Bing Xiang Google Scholar page

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