Mengting Hu

About

Mengting Hu received the Ph.D. degree in Nankai University in 2021. The Ph.D. degree is jointly educated with IBM CRL. She is currently an assistant professor with the College of Software, Nankai University, Tianjin, China. Her research interests are natural language processing, information extraction and sentiment analysis. She has published several papers on conferences and journals, including ACL, EMNLP, COLING, CoNLL, Pattern recognition, TAC etc.

Papers

  1. Mengting Hu, Xiaoqun Zhao, Jiaqi Wei, Jianfeng Wu, Xiaosu Sun, Zhengdan Li, Yike Wu, Yufei Sun, Yuzhi Zhang. “rT5: A Retrieval-Augmented Pre-Trained Model for Ancient Chinese Entity Description Generation”. NLPCC, 2023
  2. Mengting Hu, Yinhao Bai, Yike Wu, Zhen Zhang, Liqi Zhang, Hang Gao, Shiwan Zhao, Minlie Huang. “Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction”. Findings of ACL, 2023.
  3. Zhen Zhang, Mengting Hu*, Shiwan Zhao, Minlie Huang, Haotian Wang, Lemao Liu, Zhirui Zhang, Zhe Liu, Bingzhe Wu. “E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition”. Findings of ACL, 2023.
  4. Ge Lan, Mengting Hu*, Ye Li, Yuzhi Zhang. “Contrastive Knowledge Integrated Graph Neural Networks for Chinese Medical Text Classification”. Engineering Applications of Artificial Intelligence (EAAI), 2023. (CCF-C, SCI, Impact factor=7.8)
  5. Mengting Hu, Shiwan Zhao, Honglei Guo, Zhong Su. “Hybrid Regularizations for Multi-Aspect Category Sentiment Analysis”. IEEE Transactions on Affective Computing, 2023. (CCF-B, SCI, Impact factor=13.99)
  6. Mengting Hu, Hang Gao, Yike Wu, Shiwan zhao. “Fine-Grained Domain Adaptation for Aspect Category Level Sentiment Analysis”. IEEE Transactions on Affective Computing, 2022. (CCF-B, SCI, Impact factor=13.99)
  7. Mengting Hu, Yike Wu, Hang Gao, Yinhao Bai, Shiwan Zhao. “Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation”. EMNLP 2022. (CCF-B)
  8. Mengting Hu, Hang Gao, Yinhao Bai, Mingming Liu. “Classical Sequence Match is a Competitive Few-Shot One-Class Learner”. COLING 2022. (CCF-B)
  9. Chao Xue, Mengting Hu, Xueqi Huang, Chunguang Li. “Automated Search Space and Search Strategy Selection for Neural AutoML”. Pattern Recognition (PR), April 2022. (CCF-B, SCI, Impact factor=7.74)
  10. Ge Lan, Ye Li, Mengting Hu*, Yufei Sun, Yuzhi Zhang. “Knowledge Graph Integrated Graph Neural Networks for Chinese Medical Text Classification”. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), online conference, December 9-12, 2021. (CCF-B, Short Paper)
  11. Mengting Hu, Honglei Guo, Shiwan Zhao, Hang Gao, Zhong Su. “Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement”. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), online and in the Dominican Republic, November 7-12, 2021. (CCF-B, Full Paper, Poster)
  12. Mengting Hu, Shiwan Zhao, Honglei Guo, Chao Xue, Hang Gao, Tiegang Gao, Renhong Cheng, Zhong Su. “Multi-Label Few-Shot Learning for Aspect Category Detection”. Proceedings of the 59th Annual Meeting of the Association for Computation Linguistics (ACL), online conference, August 1-6, 2021. (CCF-A, Full Paper, Poster)
  13. Mengting Hu, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su, Renhong Cheng, Xiaowei Shen. “CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis”. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), Hong Kong, China, November 3-7, 2019. (CCF-B, Full Paper, Oral)
  14. Mengting Hu, Yike Wu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su. “Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification”. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), Hong Kong, China, November 3-7, 2019. (CCF-B, Full Paper, Poster)
  15. Mengting Hu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su. “Learning to Detect Opinion Snippet for Aspect Category Sentiment Analysis”. Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), Hong Kong, China, November 3-4, 2019. (CCF-C, Full Paper, Poster)
  16. Hang Gao, Mengting Hu, Tiegang Gao, Renhong Cheng, “An Effective Image Detection Algorithm for USM Sharpening Based on Pixel-Pair Histogram”. Pacific-Rim Conference on Multimedia (PCM), Hefei, China, September 21-22, 2018. (CCF-C)

* indicates the corresponding author.

Curriculum Vitae

Experience
  • 2021.7-, Assistant professor, College of Software, Nankai University, Tianjin, China
  • 2018.7-2021.1, Research intern, NLP group, IBM research, China.
Education
  • 2018.9-2021.6, Doctor’s Degree in Computer Science, Nankai University
  • 2015.9-2018.6, Master’s Degree in Software Engineering, Nankai University
  • 2011.9-2015.6, Bachelor’s Degree in Software Engineering, Tongji University
Misc
  • Citizen of China, fluent in Chinese and English speech, read and write both excellently.

Teaching

Undergraduate course
  1. Linear algebra
  2. Probability theory and mathematical statistics
Graduate course
  1. Natural language processing