World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
13775
World Ranking
4272
National Ranking
2013

Overview

Xiang Ren is a researcher affiliated with the University of Southern California in the United States. Their academic work is primarily rooted in the field of Computer Science, with a strong emphasis on Artificial Intelligence. This research also extends to areas such as Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Management Science and Operations Research, and Information Systems.

Their research output includes a significant focus on topics like Topic Modeling, Natural Language Processing Techniques, and Multimodal Machine Learning Applications. Other notable domains of their work include Domain Adaptation and Few-Shot Learning, Advanced Graph Neural Networks, Hate Speech and Cyberbullying Detection, and Explainable Artificial Intelligence (XAI).

Among recent publications, Xiang Ren has contributed to diverse venues and study areas. Noteworthy papers include:

  • Fault diagnosis of power transformers using graph convolutional network, 2020, published in CSEE Journal of Power and Energy Systems
  • Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study, 2021, published in JMIRx Med
  • Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation, 2021, published in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP, 2021, published in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks, 2022, published in Findings of the Association for Computational Linguistics: NAACL 2022

Xiang Ren frequently publishes in reputable venues such as:

  • arXiv (Cornell University)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Harvard Dataverse

The research collaborations of Xiang Ren include frequent co-authorship with Bill Yuchen Lin, Jay Pujara, Qinyuan Ye, Yejin Choi, and Xisen Jin, indicating active involvement in collaborative scientific endeavors across various projects and studies.

Best Publications

  • Hierarchical graph representation learning with differentiable pooling

    Zhitao Ying;Jiaxuan You;Christopher Morris;Xiang Ren

  • Personalized entity recommendation: a heterogeneous information network approach

    Xiao Yu;Xiang Ren;Yizhou Sun;Quanquan Gu

  • Hierarchical Graph Representation Learning with Differentiable Pooling

    Rex Ying;Jiaxuan You;Christopher Morris;Xiang Ren

  • GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

    Jiaxuan You;Rex Ying;Xiang Ren;William L. Hamilton

  • Dynamic Network Embedding by Modeling Triadic Closure Process.

    Le-kui Zhou;Yang Yang;Xiang Ren;Fei Wu

  • KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

    Bill Yuchen Lin;Xinyue Chen;Jamin Chen;Xiang Ren

  • Empower Sequence Labeling with Task-Aware Neural Language Model

    Liyuan Liu;Jingbo Shang;Frank F. Xu;Xiang Ren

  • Automated Phrase Mining from Massive Text Corpora

    Jingbo Shang;Jialu Liu;Meng Jiang;Xiang Ren

  • Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs

    Woojeong Jin;Meng Qu;Xisen Jin;Xiang Ren

  • CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases

    Xiang Ren;Zeqiu Wu;Wenqi He;Meng Qu

  • Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning

    Xuan Wang;Yu Zhang;Xiang Ren;Yuhao Zhang

  • CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning

    Bill Yuchen Lin;Wangchunshu Zhou;Ming Shen;Pei Zhou

  • Mining Quality Phrases from Massive Text Corpora

    Jialu Liu;Jingbo Shang;Chi Wang;Xiang Ren

  • Learning named entity tagger using domain-specific dictionary

    Jingbo Shang;Liyuan Liu;Xiaotao Gu;Xiang Ren

  • Recommendation in heterogeneous information networks with implicit user feedback

    Xiao Yu;Xiang Ren;Yizhou Sun;Bradley Sturt

  • Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering

    Yanlin Feng;Xinyue Chen;Bill Yuchen Lin;Peifeng Wang

  • Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

    Weizhi Ma;Min Zhang;Yue Cao;Woojeong Jin

  • An Attention-based Collaboration Framework for Multi-View Network Representation Learning

    Meng Qu;Jian Tang;Jingbo Shang;Xiang Ren

  • Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data

    Justin Guinney;Tao Wang;Teemu D Laajala;Teemu D Laajala;Kimberly Kanigel Winner

  • AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding

    Xiang Ren;Wenqi He;Meng Qu;Lifu Huang

  • Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

    Weizhi Ma;Min Zhang;Yue Cao;Woojeong

Frequent Co-Authors

Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Heng Ji
Heng Ji University of Illinois at Urbana-Champaign
Yueting Zhuang
Yueting Zhuang Zhejiang University
Meng Jiang
Meng Jiang University of Notre Dame
Jian Peng
Jian Peng University of Illinois at Urbana-Champaign
Aram Galstyan
Aram Galstyan University of Southern California
Yizhou Sun
Yizhou Sun University of California, Los Angeles
Jure Leskovec
Jure Leskovec Stanford University
Pedro Szekely
Pedro Szekely Amazon (United States)
Brian M. Sadler
Brian M. Sadler United States Army Research Laboratory

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