Ziqian Zeng 曾子倩

Logo

View My GitHub Profile

About me

I am Ziqian Zeng, I am now an associate professor at Shien-Ming Wu School of Intelligent Engineering, South China University of Technology.
My research area is natural language processing. I am interested in weakly supervised learning methods in NLP.
View my Google Scholar.

Education

Ph.D. Department of Computer Science and Engineering, the Hong Kong University of Science and Technology, 2016 - 2021, Supervisor: Yangqiu Song.

B.Eng. School of Computer Science and Engineering, South China University of Technology, 2012 - 2016.

Publications

[14] On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction
Jianwei Wang, Tianyin Wang, Ziqian Zeng#. COLING 2024.

[13] Zero-shot Event Detection using a Textual Entailment Model as an Enhanced Annotator
Ziqian Zeng, Runyu Wu, Yuxiang Xiao, Xiaoda Zhong, Hanlin Wang, Zhengdong Lu, Huiping Zhuang. COLING 2024. (short)

[12] ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference
Ziqian Zeng*, Yihuai Hong*, Hongliang Dai, Huiping Zhuang and Cen Chen. AAAI 2024.

[11] DS-AL: A Dual Stream Analytic Learning for Examplar-Free Class-Incremental Learning
Huiping Zhuang, Run He, Kai Tong, Ziqian Zeng, Zhiping Lin, Cen Chen. AAAI 2024.

[10] Adaptive Policy with Wait-k Model for Simultaneous Translation
Libo Zhao, Kai Fan, Wei Luo, Jing Wu, Shushu Wang, Ziqian Zeng#, and Zhongqiang Huang#. EMNLP, 2023. [pdf]

[9] From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained
Hongliang Dai, and Ziqian Zeng. ACL, 2023. [pdf] [code]

[8] GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-shot Class Incremental Task
Huiping Zhuang, Zhenyu Weng, Run He, Zhiping Lin, Ziqian Zeng. CVPR, 2023. [pdf] [code]

[7] Weakly Supervised Text Classification using Supervision Signals from a Language Model
Ziqian Zeng, Weimin Ni, Tianqing Fang, Xiang Li, Xinran Zhao, and Yangqiu Song. NAACL, 2022. [pdf] [code]

[6] Debiasing Career Recommendations with Neural Fair Collaborative Filtering
Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, and James Foulds. WWW, 2021. [pdf] [code]

[5] Fair Representation Learning for Heterogeneous Information Networks
Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya, James Foulds, Yangqiu Song, and Shimei Pan. ICWSM, 2021. [pdf] [code]

[4] Variational Weakly Supervised Sentiment Analysis with Posterior Regularization
Ziqian Zeng, and Yangqiu Song. EACL, 2021. [pdf] [code]

[3] A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification
Ziqian Zeng, Wenxuan Zhou, Xin Liu, and Yangqiu Song. NAACL, 2019. [pdf] [code]

[2] Biased RandomWalk based Social Regularization for Word Embeddings
Ziqian Zeng*, Xin Liu*, and Yangqiu Song. IJCAI, 2018. [pdf] [code]

[1] Socialized Word Embeddings
Ziqian Zeng, Yichun Yin, Yangqiu Song, and Ming Zhang. IJCAI, 2017. [pdf] [code]

* Equal Contribution
# Correspondence Author

Academic Service

Teaching Experience