search

Close X

FACULTY

Zeng, Ziqian 

|

Zeng, Ziqian 

  • Positional Title: Associated Professor

  • Email: zqzeng[AT]scut*edu*cn

  • Working For: Shien-Ming Wu School of Intelligent Engineering

  • Graduated School: Hong Kong University of Science and Technology,

  • Final Degree: Ph.D.

  • Office: D1-a509

  • Zip Code: 510640

  • Telephone:

  • Mentor Type:

Personal profile  

Ziqian Zeng received the bachelor degree in Computer Science from South China University of Technology in 2016. She received the Ph.D. degree in Computer Science from the Hong Kong University of Science and Technology in 2021. Dr. Zeng is currently an Associated Professor with the Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China.

Work Experience  

  • 2021.10 to Present, Associate Professor, Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China.

Education  

  • 2012-2016  B. Sc., South China University of Technology, Computer Science and Engineering

  • 2016-2021  Ph.D., The Hong Kong University of Science and Technology, Computer Science and Engineering

Research Interest  

  • Natural Language Processing, Machine Learning, Deep Learning

Courses

  • Python Programming Foundations

  • Natural Language Processing

Selected Publications  

2024年

  • [15] Wenyu Li, Yinuo Zhu, Xin Lin, Ming Li, Ziyue Jiang, Ziqian Zeng. Zero-shot Explainable Mental Health Analysis on Social Media by Incorporating Mental Scales. WWW, 2024. CCF-A

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

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

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

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

2023

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

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

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

2022

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

2021

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

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

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

2019

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

2018

  • [2]. Ziqian Zeng*, Xin Liu*, and Yangqiu Song. Biased Random Walk based Social Regularization for Word Embeddings, IJCAI, 2018. CCF-A

2017

  • [1]. Ziqian Zeng, Yichun Yin, Yangqiu Song, and Ming Zhang. Socialized Word Embeddings, IJCAI, 2017. CCF-A