I obtained my ph.D degree from School of Software Engineering, South China University of Technology in 2024, under the expert guidance of Prof. Yi Cai. During 2024-06 ～ 2024-12, I do the postdoctoral studies at Nanyang Technological University, advised by Prof.Ying Wei. Now! I am a postdoctor at The Hong Kong Polytechnic University (PolyU), supervised by Prof. Qin Jing, focusing on multimodal learning and knowledge graph in Nursing Area. Currently, I have published more than 20 academic papers
My Research Interests:
- Knowledge Graphs(KG)
- Multimodal Learning
- Sentiment Analysis
- Few-Shot Learning
- Large Language Model(LLM)
I am generally interested in Natural Language Learning (NLP), Knowledge Graph (KG), Multimodal Learning, Sentiment Analysis and Large Language Model Enhanced with KG. I’m a passionate researcher specializing in artificial intelligence research, driven by a love for innovation and problem-solving. And I believe AI is not just about creating machines that think; it’s about empowering humanity with the wisdom to shape a smarter future.
🎓 Educations
- 2020.06 - 2023.06, Software Engineering, South China University of Technology, Guangdong Guangzhou, PhD
- 2017.06 - 2020.06, Software Engineering, South China University of Technology, Guangdong Guangzhou, Master
- 2016.09 - 2020.06, Information and Computing Science, Zhongkai University of Agriculture and Engineering, Guangzhou Guangdong, Bachelor
📝 Publications
Haopeng Ren, Yushi Zeng, Yi Cai, Bihan Zhou, Zetao Lian. Constructing Procedural Graphs with Multiple Dependency Relations: A New Dataset and Baseline. Findings of the Association for Computational Linguistics: Association for Computational Linguistics(ACL). 2023: 8474-8486. [网页]
Haopeng Ren, Yi Cai, Yushi Zeng, Jinghui Ye, Ho-fung Leung, Qing Li. Aspect-Opinion Correlation Aware and Knowledge-Expansion Few Shot Cross-Domain Sentiment Classification IEEE Transactions on Affective Computing. 2022, 13 (4), 1691-1704. (JCR:Q2; IF:)
[网页]
Haopeng Ren, Yi Cai, Raymond YK Lau, Ho-fung Leung, Qing Li. Granularity-aware area prototypical network with bimargin loss for few shot relation classification IEEE Transactions on Knowledge and Data Engineering. 2022, 35(5), 4852-4866. (JCR:Q2; IF:)
[网页]
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Yushi Zeng, Guohua Wang,
Haopeng Ren, Yi Cai, Ho-fung Leung, Qing Li, Qingbao Huang. A knowledge-enhanced and topic-guided domain adaptation model for aspect-based sentiment analysis. IEEE Transactions on Affective Computing(TAFFC). 2023
[网页] -
Haopeng Ren, Zeting Li, Yi Cai, Xingwei Tan, Xin Wu. Learning refined features for open-world text classification with class description and commonsense knowledge. World Wide Web. 2023, [网页] -
Feng Ge, Weizhao Li,
Haopeng Ren, Yi Cai. Towards Exploiting Sticker for Multimodal Sentiment Analysis in Social Media: A New Dataset and Baseline. The 29th International Conference on Computational Linguistics (COLING). 2022, [网页] -
Haopeng Ren, Yi Cai, Yushi Zeng. Aspect-opinion sentiment alignment for cross-domain sentiment analysis (student abstract). Proceedings of the AAAI Conference on Artificial Intelligence(AAAI) 2022, [网页] -
Xiaofeng Chen, Guohua Wang,
Haopeng Ren, Yi Cai, Ho-fung Leung, Tao Wang. Task-adaptive feature fusion for generalized few-shot relation classification in an open world environment. IEEE/ACM Transactions on Audio, Speech, and Language Processing(TASLP) 2022, [网页] -
Huakui Zhang, Cai Yi, Bingshan Zhu,
Haopeng Ren, Qing Li. Multimodal topic modeling by exploring characteristics of short text social media. IEEE Transactions on Multimedia(TMM) 2022, [网页] -
Deng Jiang,
Haopeng Ren, Yi Cai, J. Xu, Y. Liu, Ho-fung Leung. Candidate region aware nested named entity recognition. Neural Networks(NN) 2021, [网页] -
Haopeng Ren, Yi Cai, Mingying Zhang, Wenjian Hao, Xin Wu. Standard-Oriented Standard Knowledge Graph Construction and Applications System. Web and Big Data: 5th International Joint Conference (APWebWAIM) 2021, [网页] -
Haopeng Ren, Yi Cai, Xiaofeng Chen, Guohua Wang, Qing Li. A two-phase prototypical network model for incremental fewshot relation classification. Proceedings of the 28th international conference on computational linguistics (COLING) 2020, [网页] -
Haopeng Ren, YZeQuan Zeng, Yi Cai, Qing Du, Qing Li, Haoran Xie. A weighted word embedding model for text classification. Database Systems for Advanced Applications: 24th International Conference (DASFFA) 2019, [网页]
💬 Published Research Resources
- 2024 Multimodal Procedural Entity Recognition Dataset Published in In Proceedings of the 30th international conference on computational linguistics(COLING2023) Description: Existing procedural knowledge extraction methods mainly focus on text-modality data, which are difficult to track entities’ state changes between steps and often leading to ambiguity in representation. The published dataset aims to evaluate the performance of models in automatically recognize and grounding procedural entity in multimodal procedural documents.
- 2023 Procedural Knowledge Graph Construction Dataset (WHPG) Published in Association for Computational Linguistics(ACL2023) Description: Current popular Knowledge Graphs (e.g., Wikidata) mainly focus on descriptive knowledge but neglect Procedural Knowledge. The published dataset aims to evaluate the performance of models in automatically constructing procedural knowledge graph from unstructured text. [URL]
- 2021 Standard Knowledge Graph Published in Web and Big Data: 5th International Joint Conference (APWeb-WAIM2021) Description: Standard Knowledge Graph is constructed from more than 1,000 standard documents and ultimately have more than 10,000 triples. [URL]
🏅 Honors and Awards
- 2022 National Scholarship and Principle’s scholarship First Prize
- 2021 AAAI Student Scholarship Program Scholarship First Prize
- 2021 Conference APWEB-WAIM-2021 Best Paper
- 2021 National Text Intelligent Processing Challenge First Prize
🏛️ Conferences
Editing
🏭 Internships
- 2020 – 2021 Kingsoft Office Software, Inc.(WPS) Algorithm Engineer
Focus: Standard Knowledge Graph Construction and Intelligent Applications, including Knowledge Extraction from Standard Files, Knowledge recommendation, Knowledge Conflict Detection
- 2018 – 2020 Huawei Technologies Co., Ltd Algorithm Engineer
Focus: Knowledge Graph Construction for Intelligent Manufacturing, including Data Cleaning and denosing; Text Understanding and Knowledge Extraction