Publications

Google Scholar
* indicating equal contribution; † indicating students mentored by me.

2025

• Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama. “Reinforcement Learning from Bagged Reward.”, Transactions on Machine Learning Research.
• Zhuoyuan Mao, Mengjie Zhao, Qiyu Wu, Hiromi Wakaki, Yuki Mitsufuji. “DeepResonance: Enhancing Multimodal Music Understanding via Music-centric Multi-way Instruction Tuning”, preprint.
• Zilong Wu, Hideki Murata, Nayu Takahashi, Qiyu Wu, Yoshimasa Tsuruoka. “LatentPS: Image Editing Using Latent Representations in Diffusion Models”, Proceedings of the Winter Conference on Applications of Computer Vision, 167-176.

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.
• Yuting Tang, Xin-Qiang Cai, Jing-Cheng Pang, Qiyu Wu, Yao-Xiang Ding, Masashi Sugiyama. “Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement Learning”, preprint.
• Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama. “Reinforcement Learning from Bagged Reward.”, ICML 2024 Workshop ARLET.
• 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. “Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable 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

• Qiyu Wu, Mengjie Zhao, Yutong He, Lang Huang, Junya Ono, Hiromi Wakaki, Yuki Mitsufuji. “Towards Reporting Bias in Visual-language Datasets: Bimodal Augmentation by Decoupling Object-attribute Association.”, preprint.
• 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

• Qiyu Wu, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng and Daxin Jiang. “PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings.” EMNLP 2022, main conference long paper.
• Yutao Xie†, Qiyu Wu, Wei Chen and Tengjiao Wang. “Stable Contrastive Learning for Self-Supervised Sentence Embeddings With Pseudo-Siamese Mutual Learning.” IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP) 30 (2022): 3046-3059.

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.