Publications
Last updated: March 2026. Latest papers: Google Scholar
* indicating equal contribution; † indicating students mentored by me.
Manuscripts
- Shaomu Tan, Ryosuke Mitani, Ritvik Choudhary, Qiyu Wu, Toshiyuki Sekiya, Christof Monz. “Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations”, manuscript.
- Qiyu Wu, Shuyang Cui, Satoshi Hayakawa, Wei-Yao Wang, Hiromi Wakaki, Yuki Mitsufuji. “MCA: Modality Composition Awareness for Robust Composed Multimodal Retrieval”, manuscript.
2026
- Shuyang Cui, Zhi Zhong, Qiyu Wu, Zachary Novack, et al. “BREAK-THE-BEAT! Controllable MIDI-to-Drum Audio Synthesis”, ICASSP 2026.
- Seungheon Doh, Junghyun Koo, Marco A Martinez-Ramirez, Woosung Choi, Wei-Hsiang Liao, Qiyu Wu, Juhan Nam, Yuki Mitsufuji. “LLM2Fx-Tools: Tool Calling For Music Post-Production”, ICLR 2026.
- Wei-Yao Wang, Kazuya Tateishi, Qiyu Wu, Shusuke Takahashi, Yuki Mitsufuji. “VIRTUE: Visual-Interactive Text-Image Universal Embedder”, ICLR 2026.
2025
- Zhuoyuan Mao, Mengjie Zhao, Qiyu Wu, Hiromi Wakaki, Yuki Mitsufuji. “DeepResonance: Enhancing Multimodal Music Understanding via Music-centric Multi-way Instruction Tuning”, EMNLP 2025 Main.
- Zhongtao Miao†, Qiyu Wu, Masaaki Nagata, and Yoshimasa Tsuruoka. “Improving Word Alignment Using Semi-Supervised Learning”, ACL 2025 Findings.
- Zhuoyuan Mao, Mengjie Zhao, Qiyu Wu, Zhi Zhong, Wei-Hsiang Liao, Hiromi Wakaki, Yuki Mitsufuji. “Cross-Modal Learning for Music-to-Music-Video Description Generation”, RepL4NLP-2025.
- Kaiyan Zhao†, Qiyu Wu, Zhongtao Miao, Yoshimasa Tsuruoka. “Prompt Tuning Can Simply Adapt Large Language Models to Text Encoders”, RepL4NLP-2025.
- Qiyu Wu, Mengjie Zhao, Yutong He, Lang Huang, Junya Ono, Hiromi Wakaki, Yuki Mitsufuji. “Towards Reporting Bias in Visual-language Datasets: Bi-modal Data Augmentation by Decoupling Object-attribute Association”, ICCV 2025 Workshop Multimodal Representation and Retrieval.
- Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama. “Reinforcement Learning from Bagged Reward.”, Transactions on Machine Learning Research.
2024
- Qiyu Wu, Masaaki Nagata, Zhongtao Miao, Yoshimasa Tsuruoka. “Word Alignment as Preference for Machine Translation”, EMNLP 2024, Oral.
- Qiyu Wu, Zilong Wu, Yoshimasa Tsuruoka. “SGA: Scene Graph Alignment for Evaluation of Text-to-Image Generation”, KDD 2024 Workshop HI-AI.
- Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Julian McAuley, Eric P. Xing, Zichao Yang, Zhiting Hu. “Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding”, ICML 2024.
- Zhongtao Miao†, Qiyu Wu, Kaiyan Zhao, Zilong Wu, Yoshimasa Tsuruoka. “Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment.”, NAACL 2024, findings.
- Kaiyan Zhao*†, Qiyu Wu*, Xin-Qiang Cai, Yoshimasa Tsuruoka. “Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding.”, EACL 2024, main conference long paper.
2023
- Shiwen Wu, Qiyu Wu, Honghua Dong, Wen Hua, Xiaofang Zhou. “Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution.”, VLDB 2024, research track paper.
- Qiyu Wu, Masaaki Nagata, Yoshimasa Tsuruoka. “WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction.”, ACL 2023, main conference long paper.
2022
2021 and Before
- Qiyu Wu*, Chen Xing*, Yatao Li, Guolin Ke, Di He and Tie-Yan Liu. “Taking Notes on the Fly Helps Language Pre-Training.” ICLR 2021.
- Hao Liu*, Qiyu Wu*, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou and Hui Xiong. “Community-Aware Multi-Task Transportation Demand Prediction.” AAAI 2021.
- Dechuan Yang*, Qiyu Wu*, Wei Chen, Tengjiao Wang, Zhen Qiu, Di Liu and Yingbao Cui. “Stance Detection with Stance-Wise Convolution Network.” Natural Language Processing and Chinese Computing (NLPCC 2020).
Non-refereed Papers
- 苗中濤†, 趙開顔, 呉梓隆, 呉奇宇, 鶴岡慶雅. “教育を目的とした日本語初等数学問題に特化した 大規模言語モデルの構築.” 言語処理学会 第30回年次大会.
- 趙開顔†, 呉奇宇, 苗中濤, 呉梓隆, 鶴岡慶雅. “単一トークン適応による大規模言語モデルに基づく文埋め込み.” 言語処理学会 第30回年次大会.
- 趙開顔†, 呉奇宇, 村田秀樹, 石川隆一, 根之木颯亮, 山本覚, 鶴岡慶雅. “ホッピングマスクを利用した Stable Diffusion Model による連続画像生成”. 言語処理学会 第29回年次大会.
- “Method, apparatus, device and storage medium for predicting people flow”. Patent, Publication of CN111612249B, 2023.