| 2026 | AAAI | Jump-teaching: Combating Sample Selection Bias via Temporal Disagreement. | Kangye Ji, Fei Cheng, Zeqing Wang, Qichang Zhang, Bohu Huang |
| 2026 | AAAI | SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency. | Zeqing Wang, Kangye Ji, Di Wang, Haibin Zhang, Fei Cheng |
| 2026 | ACL | MPTc-Bench: Measuring Cross-market Generative Ability of Vision-Language Models via Movie Poster Transcreation. | Youyuan Lin, Yuan Li, Yahan Yu, Fei Cheng, Shin'ya Nishida, Chenhui Chu |
| 2026 | ACL | Memorization, Emergence, and Explaining Reversal Failures: A Controlled Study of Relational Semantics in LLMs. | Yihua Zhu, Qianying Liu, Jiaxin Wang, Fei Cheng, Chaoran Liu, Akiko Aizawa, Sadao Kurohashi, Hidetoshi Shimodaira |
| 2026 | EACL | Better Generalizing to Unseen Concepts: An Evaluation Framework and An LLM-Based Auto-Labeled Pipeline for Biomedical Concept Recognition. | Shanshan Liu, Noriki Nishida, Fei Cheng, Narumi Tokunaga, Rumana Ferdous Munne, Yuki Yamagata, Kouji Kozaki, Takehito Utsuro, Yuji Matsumoto |
| 2026 | EACL | Persona Jailbreaking in Large Language Models. | Jivnesh Sandhan, Fei Cheng, Tushar Sandhan, Yugo Murawaki |
| 2026 | EACL | Language Lives in Sparse Dimensions: Toward Interpretable and Efficient Multilingual Control for Large Language Models. | Chengzhi Zhong, Fei Cheng, Qianying Liu, Yugo Murawaki, Chenhui Chu, Sadao Kurohashi |
| 2026 | LREC | Building Effective Japanese Medical LLMs with an Open Recipe for Domain Adaptation through Continued Pre-training. | Akiko Aizawa, Yuki Arase, Fei Cheng, Jiahao Huang, Zhiyi Huang, Junfeng Jiang, Teruhito Kanazawa, Daisuke Kawahara, Kazuma Kobayashi, Takashi Kodama, Sadao Kurohashi, Yusuke Oda, Tsuta Yuma, Zhen Wan, Zhishen Yang, Rio Yokota |
| 2026 | LREC | Which Way Does Time Flow? A Psychophysics-Grounded Evaluation for Vision-Language Models. | Shiho Matta, Lis Kanashiro Pereira, Peitao Han, Shigeru Kitazawa, Fei Cheng |
| 2025 | ACL | 7 Points to Tsinghua but 10 Points to ? Assessing Large Language Models in Agentic Multilingual National Bias. | Qianying Liu, Katrina Qiyao Wang, Fei Cheng, Sadao Kurohashi |
| 2025 | ACL | SpeechIQ: Speech-Agentic Intelligence Quotient Across Cognitive Levels in Voice Understanding by Large Language Models. | Zhen Wan, Chao-Han Huck Yang, Yahan Yu, Jinchuan Tian, Sheng Li, Ke Hu, Zhehuai Chen, Shinji Watanabe, Fei Cheng, Chenhui Chu, Sadao Kurohashi |
| 2025 | ACL | What Language Do Non-English-Centric Large Language Models Think in? | Chengzhi Zhong, Qianying Liu, Fei Cheng, Junfeng Jiang, Zhen Wan, Chenhui Chu, Yugo Murawaki, Sadao Kurohashi |
| 2025 | ASPDAC | LightCL: Compact Continual Learning with Low Memory Footprint For Edge Device. | Zeqing Wang, Fei Cheng, Kangye Ji, Bohu Huang |
| 2025 | EMNLP | Leveraging High-Resource English Corpora for Cross-lingual Domain Adaptation in Low-Resource Japanese Medicine via Continued Pre-training. | Kazuma Kobayashi, Zhen Wan, Fei Cheng, Tsuta Yuma, Xin Zhao, Junfeng Jiang, Jiahao Huang, Zhiyi Huang, Yusuke Oda, Rio Yokota, Yuki Arase, Daisuke Kawahara, Akiko Aizawa, Sadao Kurohashi |
| 2025 | EMNLP | CAPE: Context-Aware Personality Evaluation Framework for Large Language Models. | Jivnesh Sandhan, Fei Cheng, Tushar Sandhan, Yugo Murawaki |
| 2025 | EMNLP | Causal Tree Extraction from Medical Case Reports: A Novel Task for Experts-like Text Comprehension. | Sakiko Yahata, Zhen Wan, Fei Cheng, Sadao Kurohashi, Hisahiko Sato, Ryozo Nagai |
| 2025 | ICONIP | Multi-session Meditative EEG Classification with Noise-Robust Self-supervision. | Zuxin Song, Fei Cheng, Mingyu Gou, Tianzhen Chen, Bao-Liang Lu, Jiang Du, Wei-Long Zheng |
| 2025 | IJCNLP | EmplifAI: a Fine-grained Dataset for Japanese Empathetic Medical Dialogues in 28 Emotion Labels. | Wan-Jou She, Lis Pereira, Fei Cheng, Sakiko Yahata, Panote Siriaraya, Eiji Aramaki |
| 2025 | NAACL | AMR-RE: Abstract Meaning Representations for Retrieval-Based In-Context Learning in Relation Extraction. | Peitao Han, Lis Pereira, Fei Cheng, Wan-Jou She, Eiji Aramaki |
| 2024 | ACL | Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain. | Zhen Wan, Yating Zhang, Yexiang Wang, Fei Cheng, Sadao Kurohashi |
| 2024 | COLING | An Empirical Study of Synthetic Data Generation for Implicit Discourse Relation Recognition. | Kazumasa Omura, Fei Cheng, Sadao Kurohashi |
| 2024 | COLING | Rapidly Developing High-quality Instruction Data and Evaluation Benchmark for Large Language Models with Minimal Human Effort: A Case Study on Japanese. | Yikun Sun, Zhen Wan, Nobuhiro Ueda, Sakiko Yahata, Fei Cheng, Chenhui Chu, Sadao Kurohashi |
| 2024 | EMNLP | Improving Referring Ability for Biomedical Language Models. | Junfeng Jiang, Fei Cheng, Akiko Aizawa |
| 2023 | ACL | MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting. | Tatsuro Inaba, Hirokazu Kiyomaru, Fei Cheng, Sadao Kurohashi |
| 2023 | EACL | ComSearch: Equation Searching with Combinatorial Strategy for Solving Math Word Problems with Weak Supervision. | Qianying Liu, Wenyu Guan, Jianhao Shen, Fei Cheng, Sadao Kurohashi |
| 2023 | EACL | Relation Extraction with Weighted Contrastive Pre-training on Distant Supervision. | Zhen Wan, Fei Cheng, Qianying Liu, Zhuoyuan Mao, Haiyue Song, Sadao Kurohashi |
| 2023 | EMNLP | GPT-RE: In-context Learning for Relation Extraction using Large Language Models. | Zhen Wan, Fei Cheng, Zhuoyuan Mao, Qianying Liu, Haiyue Song, Jiwei Li, Sadao Kurohashi |
| 2023 | ICASSP | Hierarchical Softmax for End-To-End Low-Resource Multilingual Speech Recognition. | Qianying Liu, Zhuo Gong, Zhengdong Yang, Yuhang Yang, Sheng Li, Chenchen Ding, Nobuaki Minematsu, Hao Huang, Fei Cheng, Chenhui Chu, Sadao Kurohashi |
| 2022 | EMNLP | Textual Enhanced Contrastive Learning for Solving Math Word Problems. | Yibin Shen, Qianying Liu, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi |
| 2022 | EMNLP | Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction. | Zhen Wan, Qianying Liu, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Jiwei Li |
| 2022 | IJCNLP | Seeking Diverse Reasoning Logic: Controlled Equation Expression Generation for Solving Math Word Problems. | Yibin Shen, Qianying Liu, Zhuoyuan Mao, Zhen Wan, Fei Cheng, Sadao Kurohashi |
| 2022 | LREC | JaMIE: A Pipeline Japanese Medical Information Extraction System with Novel Relation Annotation. | Fei Cheng, Shuntaro Yada, Ribeka Tanaka, Eiji Aramaki, Sadao Kurohashi |
| 2022 | LREC | Improving Event Duration Question Answering by Leveraging Existing Temporal Information Extraction Data. | Felix Giovanni Virgo, Fei Cheng, Sadao Kurohashi |
| 2021 | AAAI | A Hybrid Bandit Framework for Diversified Recommendation. | Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang |
| 2021 | IGARSS | Rotated Hybrid Task Cascade Network for Remote Sensing Aircraft Target Recognition. | Xu Cao, Huanxin Zou, Fei Cheng, Runlin Li, Shitian He, Li Sun |
| 2021 | IGARSS | Shipsrdet: An End-to-End Remote Sensing Ship Detector Using Super-Resolved Feature Representation. | Shitian He, Huanxin Zou, Yingqian Wang, Runlin Li, Fei Cheng |
| 2021 | PACLIC | Dependency Enhanced Contextual Representations for Japanese Temporal Relation Classification. | Chenjing Geng, Fei Cheng, Masayuki Asahara, Lis Kanashiro Pereira, Ichiro Kobayashi |
| 2021 | PACLIC | ALICE++: Adversarial Training for Robust and Effective Temporal Reasoning. | Lis Pereira, Fei Cheng, Masayuki Asahara, Ichiro Kobayashi |
| 2020 | ACL | Pre-training via Leveraging Assisting Languages for Neural Machine Translation. | Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita |
| 2020 | EMNLP | A System for Worldwide COVID-19 Information Aggregation. | Akiko Aizawa, Frdric Bergron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong |
| 2020 | EMNLP | Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning. | Fei Cheng, Masayuki Asahara, Ichiro Kobayashi, Sadao Kurohashi |
| 2020 | EMNLP | Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction. | Ranran Haoran Zhang, Qianying Liu, Aysa Xuemo Fan, Heng Ji, Daojian Zeng, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi |
| 2020 | LREC | Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases. | Shuntaro Yada, Ayami Joh, Ribeka Tanaka, Fei Cheng, Eiji Aramaki, Sadao Kurohashi |
| 2018 | NAACL | Inducing Temporal Relations from Time Anchor Annotation. | Fei Cheng, Yusuke Miyao |
| 2018 | PACLIC | Automatic Error Correction on Japanese Functional Expressions Using Character-based Neural Machine Translation. | Jun Liu, Fei Cheng, Yiran Wang, Hiroyuki Shindo, Yuji Matsumoto |
| 2017 | ACL | Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths. | Fei Cheng, Yusuke Miyao |
| 2017 | IJCNN | Cross-validated smooth multi-instance learning. | Dayuan Li, Lin Zhu, Wenzheng Bao, Fei Cheng, Yi Ren, De-Shuang Huang |
| 2016 | ICNC | Neologisms detection in a overlapping topical complex network. | Lan Yin, Fei Cheng |
| 2015 | ACL | Synthetic Word Parsing Improves Chinese Word Segmentation. | Fei Cheng, Kevin Duh, Yuji Matsumoto |
| 2014 | LREC | Parsing Chinese Synthetic Words with a Character-based Dependency Model. | Fei Cheng, Kevin Duh, Yuji Matsumoto |
| 2014 | VCIP | Depth-map driven planar surfaces detection. | Jin Zhi, Tammam Tillo, Fei Cheng |