Chenguang Wang

Affiliations:
  • Washington University in St. Louis, Department of Computer Science and Engineering, MO, USA
  • University of California, Berkeley, Computer Science Division, CA, USA (former)
  • Amazon AI, Palo Alto, CA, USA (former)
  • IBM Research-Almaden, San Jose, CA, USA (former)
  • Peking University, School of EECS, Beijing, China (former, PhD)


According to our database1, Chenguang Wang authored at least 37 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
JudgeBench: A Benchmark for Evaluating LLM-based Judges.
CoRR, 2024

Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study.
CoRR, 2024

Measuring Social Norms of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Agent Instructs Large Language Models to be General Zero-Shot Reasoners.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Measuring Vision-Language STEM Skills of Neural Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Benchmarking Language Models for Code Syntax Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Joint Language Semantic and Structure Embedding for Knowledge Graph Completion.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

DeepStruct: Pretraining of Language Models for Structure Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Protecting Intellectual Property of Language Generation APIs with Lexical Watermark.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation.
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.
J. Mach. Learn. Res., 2020

Language Models are Open Knowledge Graphs.
CoRR, 2020

Transformer on a Diet.
CoRR, 2020

PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.
CoRR, 2019

Language Models with Transformers.
CoRR, 2019

Co-Occurrent Features in Semantic Segmentation.
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.
Data Min. Knowl. Discov., 2018

2017
Towards Re-defining Relation Understanding in Financial Domain.
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.
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.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

HINE: Heterogeneous Information Network Embedding.
Proceedings of the Database Systems for Advanced Applications, 2017

Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
World Knowledge as Indirect Supervision for Document Clustering.
ACM Trans. Knowl. Discov. Data, 2016

RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Text Classification with Heterogeneous Information Network Kernels.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks.
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.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Spectral Label Refinement for Noisy and Missing Text Labels.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013
Paraphrasing Adaptation for Web Search Ranking.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013


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