Chenguang Wang

According to our database, Chenguang Wang authored at least 36 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study.

Chenguang Wang, Ruoxi Jia, Xin Liu, Dawn Song

CoRR, 2024

Measuring Social Norms of Large Language Models.

Ye Yuan, Kexin Tang, Jianhao Shen, Ming Zhang, Chenguang Wang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Agent Instructs Large Language Models to be General Zero-Shot Reasoners.

Nicholas Crispino, Kyle Montgomery, Fankun Zeng, Dawn Song, Chenguang Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Measuring Vision-Language STEM Skills of Neural Models.

Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang, Chenguang Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning.

Eric Pasewark, Kyle Montgomery, Kefei Duan, Dawn Song, Chenguang Wang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study.

Myeongseob Ko, Ming Jin, Chenguang Wang, Ruoxi Jia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models.

Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion.

Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Benchmarking Language Models for Code Syntax Understanding.

Da Shen, Xinyun Chen, Chenguang Wang, Koushik Sen, Dawn Song

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models.

Chenguang Wang, Xiao Liu, Dawn Song

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Joint Language Semantic and Structure Embedding for Knowledge Graph Completion.

Jianhao Shen, Chenguang Wang, Linyuan Gong, Dawn Song

Proceedings of the 29th International Conference on Computational Linguistics, 2022

DeepStruct: Pretraining of Language Models for Structure Prediction.

Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Protecting Intellectual Property of Language Generation APIs with Lexical Watermark.

Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Zero-Shot Information Extraction as a Unified Text-to-Triple Translation.

Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.

Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu

J. Mach. Learn. Res., 2020

Language Models are Open Knowledge Graphs.

Chenguang Wang, Xiao Liu, Dawn Song

CoRR, 2020

Transformer on a Diet.

Chenguang Wang, Zihao Ye, Aston Zhang, Zheng Zhang, Alexander J. Smola

CoRR, 2020

PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction.

Yichun Yin, Chenguang Wang, Ming Zhang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.

Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng

CoRR, 2019

Language Models with Transformers.

Chenguang Wang, Mu Li, Alexander J. Smola

CoRR, 2019

Co-Occurrent Features in Semantic Segmentation.

Hang Zhang, Han Zhang, Chenguang Wang, Junyuan Xie

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks.

Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han

Data Min. Knowl. Discov., 2018

2017

Towards Re-defining Relation Understanding in Financial Domain.

Chenguang Wang, Douglas Burdick, Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao Li, Huaiyu Zhu

Proceedings of the 3rd International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2017

Active Learning for Black-Box Semantic Role Labeling with Neural Factors.

Chenguang Wang, Laura Chiticariu, Yunyao Li

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks.

He Jiang, Yangqiu Song, Chenguang Wang, Ming Zhang, Yizhou Sun

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles.

Chenguang Wang, Alan Akbik, Laura Chiticariu, Yunyao Li, Fei Xia, Anbang Xu

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

HINE: Heterogeneous Information Network Embedding.

Yuxin Chen, Chenguang Wang

Proceedings of the Database Systems for Advanced Applications, 2017

Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks.

Chenguang Wang, Yangqiu Song, Haoran Li, Yizhou Sun, Ming Zhang, Jiawei Han

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

World Knowledge as Indirect Supervision for Document Clustering.

Chenguang Wang, Yangqiu Song, Dan Roth, Ming Zhang, Jiawei Han

ACM Trans. Knowl. Discov. Data, 2016

RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks.

Chenguang Wang, Yizhou Sun, Yanglei Song, Jiawei Han, Yangqiu Song, Lidan Wang, Ming Zhang

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Text Classification with Heterogeneous Information Network Kernels.

Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks.

Chenguang Wang, Yangqiu Song, Ahmed El-Kishky, Dan Roth, Ming Zhang, Jiawei Han

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations.

Chenguang Wang, Yangqiu Song, Dan Roth, Chi Wang, Jiawei Han, Heng Ji, Ming Zhang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks.

Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Spectral Label Refinement for Noisy and Missing Text Labels.

Yangqiu Song, Chenguang Wang, Ming Zhang, Hailong Sun, Qiang Yang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

Paraphrasing Adaptation for Web Search Ranking.

Chenguang Wang, Nan Duan, Ming Zhou, Ming Zhang

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013