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. Zhixin Han, Mengting Hu*, Yinhao Bai, Xunzhi Wang, Bitong Luo. “DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis”. AAAI, 2025. (CCF-A)
  2. Yinhao Bai, Yuhua Zhao, Zhixin Han, Hang Gao, Chao Xue, Mengting Hu*. “Towards Robust Information Extraction via Binomial Distribution Guided Counterpart Sequence”. KDD, 2024. (CCF-A)
  3. Cheng Gong, Haoshuai Zheng, Mengting Hu, Zheng Lin, Deng-Ping Fan, Yuzhi Zhang, Tao Li. “Minimize Quantization Output Error with Bias Compensation”. CAAI Artificial Intelligence Research, 2024.
  4. Yinhao Bai, Zhixin Han, Yuhua Zhao, Hang Gao, Zhuowei Zhang, Xunzhi Wang, Mengting Hu*. “Is Compound Aspect-Based Sentiment Analysis Addressed by LLMs?”. Findings of EMNLP, 2024.
  5. Rui Ying, Mengting Hu*, Jianfeng Wu, Yalan Xie, Xiaoyi Liu, Zhunheng Wang, Ming Jiang, Hang Gao, Linlin Zhang, Renhong Cheng. “Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion”. ACL, 2024. (CCF-A)
  6. Zhuang Chen, Jincenzi Wu, Jinfeng Zhou, Bosi Wen, Guanqun Bi, Gongyao Jiang, Yaru Cao, Mengting Hu, Yunghwei Lai, Zexuan Xiong, Minlie Huang. “Tombench: Benchmarking theory of mind in large language models”. ACL, 2024. (CCF-A)
  7. Zhunheng Wang, Xiaoyi Liu, Mengting Hu*, Rui Ying, Ming Jiang, Jianfeng Wu, Yalan Xie, Hang Gao, Renhong Cheng. “ECoK: Emotional Commonsense Knowledge Graph for Mining Emotional Gold”. Findings of ACL, 2024.
  8. Xun Liang, Hanyu Wang, Shichao Song, Mengting Hu, Xunzhi Wang, Zhiyu Li, Feiyu Xiong, Bo Tang. “Controlled text generation for large language model with dynamic attribute graphs”. Findings of ACL, 2024.
  9. Yinhao Bai, Yalan Xie, Xiaoyi Liu, Yuhua Zhao, Zhixin Han, Mengting Hu*, Hang Gao, Renhong Cheng. “BvSP: Broad-View Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction”. ACL, 2024. (CCF-A)
  10. Hang Gao, Mengting Hu, Yi Liu. “Learning Diver-Irrelevant Features for Generalizable Driver Behavior Recognition”. IEEE Transactions on Intelligent Transportation Systems (TITS), 2024. (CCF-B)
  11. Yongliang Lin, Zhen Zhang, Mengting Hu, Yufei Sun, Yuzhi Zhang. “Modalities Should Be Appropriately Leveraged: Uncertainty Guidance for Multimodal Chinese Spelling Correction”. LREC-COLING, 2024. (CCF-B)
  12. Yike Wu, Yang Xiao, Mengting Hu*, Mengying Liu, Pengcheng Wang, Mingming Liu. “Towards Robust Evidence-Aware Fake News Detection via Improving Semantic Perception”. LREC-COLING, 2024. (CCF-B)
  13. Zhuowei Zhang, Mengting Hu*, Yinhao Bai, Zhen Zhang. “Coreference Graph Guidance for Mind-Map Generation”. AAAI, 2024. (CCF-A)
  14. Zhen Zhang, Yuhua Zhao, Hang Gao, Mengting Hu*. “LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty”. WWW, 2024. (CCF-A)
  15. Haotian Wang, Zhen Zhang, Mengting Hu*, Qichao Wang, Liang Chen, Yatao Bian, Bingzhe Wu. “RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data”. Findings of EMNLP, 2023.
  16. Jianfeng Wu, Mengting Hu*, Yike Wu, Bingzhe Wu, Yalan Xie, Mingming Liu, Renhong Cheng. “Density-Aware Prototypical Network for Few-Shot Relation Classification”. Findings of EMNLP, 2023.
  17. 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. (CCF-C)
  18. 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.
  19. 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.
  20. 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)
  21. Mengting Hu, Shiwan Zhao, Honglei Guo, Zhong Su. “Hybrid Regularizations for Multi-Aspect Category Sentiment Analysis”. IEEE Transactions on Affective Computing (TAC), 2023. (CCF-B, SCI, Impact factor=9.6)
  22. Mengting Hu, Hang Gao, Yike Wu, Shiwan zhao. “Fine-Grained Domain Adaptation for Aspect Category Level Sentiment Analysis”. IEEE Transactions on Affective Computing (TAC), 2022. (CCF-B, SCI, Impact factor=9.6)
  23. Mengting Hu, Yike Wu, Hang Gao, Yinhao Bai, Shiwan Zhao. “Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation”. EMNLP 2022. (CCF-B)
  24. Mengting Hu, Hang Gao, Yinhao Bai, Mingming Liu. “Classical Sequence Match is a Competitive Few-Shot One-Class Learner”. COLING 2022. (CCF-B)
  25. 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)
  26. 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)

Before 2021

  1. Mengting Hu, Honglei Guo, Shiwan Zhao, Hang Gao, Zhong Su. “Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement”. EMNLP, 2021. (CCF-B, Poster)
  2. 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”. ACL, 2021. (CCF-A, Poster)
  3. Mengting Hu, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su, Renhong Cheng, Xiaowei Shen. “CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis”. EMNLP, 2019. (CCF-B, Oral)
  4. Mengting Hu, Yike Wu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su. “Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification”. EMNLP, 2019. (CCF-B, Poster)
  5. Mengting Hu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su. “Learning to Detect Opinion Snippet for Aspect Category Sentiment Analysis”. CoNLL, 2019. (CCF-C, Poster)
  6. 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