About Me ([GitHub] [Google Scholar])

I am currently a researcher on the Ask/DianDian team at Xiaohongshu, working on post-training large language models. I received PhD degree from School of Artificial Intelligence, Nanjing University (NJU).

Latest News

  • 2025-08-20: One paper on Chinese Multi-image Benchmark is accepted by Findings of EMNLP 2025.
  • 2025-02-22: One paper on Efficient Multimodal Large Language Models is accepted by ICLR 2025.
  • 2024-09-20: One paper on Multimodal Hallucination Mitigation is accepted by EMNLP 2024.
  • 2024-05-24: Release a paper on Multi-modal Large Language Models to Arxiv.
  • 2024-05-16: Two papers are accepted by Findings of ACL 2024.
  • 2024-02-16: Release a paper on Multimodal Hallucination Mitigation to Arxiv.
  • 2023-10-08: One paper on multimodal ABSA is accepted by EMNLP 2023.
  • 2023-10-03: Release a paper on in-context learning to Arxiv.
  • 2023-07-26: One paper on multimodal entity linking is accepted by ACM Multimedia 2023.
  • 2023-05-11: One paper is accepted by TASLP 2023.
  • 2023-05-02: One paper is accepted by Findings of ACL 2023.
  • 2022-10-06: One paper on few-shot aspect category detection is accepted by Findings of EMNLP 2022.
  • 2022-08-17: One paper on multimodal ABSA is accepted by COLING 2022.
  • 2022-06-30: One paper on multimodal NER is accepted by ACM Multimedia 2022.
  • 2020-10-01: One paper on ABSA is accepted by COLING 2020.
  • 2020-09-14: One paper on aspect triplet extraction is accepted by Findings of EMNLP 2020.
  • 2019-11-11: One paper on TOWE is accepted by AAAI 2020.

Selected Publications ([Full List])

(* indicates equal contribution)
RealBench: A Chinese Multi-image Understanding Benchmark Close to Real-world Scenarios
Fei Zhao, Chengqiang Lu, Yufan Shen, Qimeng Wang, Yicheng Qian, Haoxin Zhang, Yan Gao, Yi Wu, Yao Hu, Zhen Wu, Shangyu Xing, Xinyu Dai
EMNLP findings, 2025
[Paper] [Code] [中文解读] [BibTex]
We introduce RealBench, the first Chinese multi-image benchmark built from public user-generated content.
EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models
Shangyu Xing, Fei Zhao, Zhen Wu, Tuo An, Weihao Chen, Chunhui Li, Jianbing Zhang, Xinyu Dai
EMNLP, 2024
[Paper] [Code] [中文解读] [BibTex]
We propose an efficient fine-grained unlearning framework EFUF, which can obtain positive and negative examples separately in a cost-effective manner.
M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment Analysis
Fei Zhao*, Chunhui Li*, Zhen Wu, Yawen Ouyang, Jianbing Zhang and Xinyu Dai
EMNLP, 2023
[Paper] [Code] [中文解读] [BibTex]
In this work, we focus on whether the negative impact of noisy images can be reduced without filtering the data.
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection
Fei Zhao*, Yuchen Shen*, Zhen Wu, Xinyu Dai
EMNLP findings, 2022
[Paper] [Slides] [Code] [中文解读] [BibTex]
We propose a novel Label-Driven Denoising Framework (LDF) to alleviate the noise problems for the FS-ACD task.
Learning from Different text-image Pairs: A Relation-enhanced Graph Convolutional Network for Multimodal NER
Fei Zhao, Chunhui Li, Zhen Wu, Shangyu Xing, Xinyu Dai
ACM MM, 2022
[Paper] [Slides] [Code] [中文解读] [BibTex]
We propose leveraging the external matching relations between different (text, image) pairs to improve the performance on the MNER task.
Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction
Zhen Wu*, Fei Zhao*, Xin-Yu Dai, Shujian Huang, Jiajun Chen
AAAI, 2020 (oral presentation)
[Paper] [Slides] [Code] [中文解读] [BibTex]
We transter latent opinion knowledge from resource-rich review sentiment classification datasets to low-resource TOWE task.

Experience

  • Jun. 2025 - present, researcher on the Ask/DianDian team at Xiaohongshu.
  • Jun. 2024 - Nov. 2024, research intern at Xiaohongshu.
  • Apr. 2020 - Nov. 2020, research intern at Tencent WeChat Group.

Honor

  • National Scholarship, 2018.
  • Outstanding Graduate, 2018.
  • Outstanding Undergraduation Thesis, 2018.
  • Huawei Scholarship, 2020.
  • Huawei Scholarship, 2022.
  • First-Class Yingcai Scholarship, 2023.
  • Business Breakthrough Award, 2025.

Teaching Assistant

  • Natural Language Processing (For graduate students, Fall, 2021)
  • Natural Language Processing (For undergraduate students, Spring, 2022)

Review Services

Area Chair
ACL Rolling Review (ARR), 2026

Program Committee Member/Conference Reviewer
International Conference on Computer Vision (ICCV), 2025
Forty-Second International Conference on Machine Learning (ICML), 2025
International World Wide Web Conference (WWW), 2025
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
International Conference on Learning Representations (ICLR), 2025
Neural Information Processing Systems (NIPS), 2024
Conference on Language Modeling (COLM), 2024
ACL Rolling Review 2021, 2022, 2023, 2024
ACM Multimedia (ACM MM), 2023
Empirical Methods in Natural Language Processing (EMNLP), 2022, 2023
AAAI Conference on Artificial Intelligence (AAAI), 2021, 2022, 2023, 2024
Annual Meeting of the Association for Computational Linguistics (ACL), 2021, 2023
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
International Workshop on Natural Language Processing for Social Media (SocialNLP), 2021