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Welcome!   [简体中文 | 日本語]

I am Jialun Shen (沈嘉伦), a Ph.D. student at Okumura-Funakoshi Lab, Institute of Science Tokyo (formerly Tokyo Institute of Technology).

Research interests: natural language processing, deep learning

Education

Publications

  • [EMNLP 2024] LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation. Yusong Wang, Dongyuan Li, Jialun Shen, Yicheng Xu, Mingkun Xu, Kotaro Funakoshi, Manabu Okumura. In Findings of the Association for Computational Linguistics: EMNLP 2024. [paper]

  • [PRICAI 2024] FINE-LMT: Fine-grained Feature Learning for Multi-Modal Machine Translation. Yusong Wang, Ying Zhang, Dongyuan Li, Jialun Shen, Yicheng Xu, Mingkun Xu, Kotaro Funakoshi, Manabu Okumura. In 2024 Pacific Rim International Conference on Artificial Intelligence (PRICAI). [paper]

  • [NLPCC 2024] Leveraging Parameter-Efficient Fine-Tuning for Multilingual Abstractive Summarization. Jialun Shen, Yusong Wang. In The 13th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC). [paper] [code]

  • [MLNLP 2024] ELDA: Enhancing Multi-modal Machine Translation via Large Language Model-Driven Data Augmentation. Yusong Wang, Dongyuan Li, Jialun Shen, Yicheng Xu, Zhong Shuai, Mingkun Xu. In 2024 IEEE 7th International Conference on Machine Learning and Natural Language Processing (MLNLP 2024).

  • [ICASSP 2024] Inter-Modality and Intra-Sample Alignment for Multi-Modal Emotion Recognition. Yusong Wang, Dongyuan Li, Jialun Shen. In 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). [paper]

  • [JSAI 2023] Emotion-guided Multi-modal Fusion for Personality Traits Recognition. Yusong Wang, Dongyuan Li, Jialun Shen, Kotaro Funakoshi, Manabu Okumura. In Proceedings of the 37th Annual Conference of the Japanese Society for Artificial Intelligence. [paper]

Working Experience

  • 2020.10 - 2021.08   Research and Development Engineer (Internship), Monetware Inc.

Honors

  • 2017.12 & 2021.06   Scholarship for Outstanding Undergraduate Students at Fudan University