| 2026 | AAAI | SparseRM: A Lightweight Preference Modeling with Sparse Autoencoder. | Dengcan Liu, Jiahao Li, Zheren Fu, Yi Tu, Jiajun Li, Zhendong Mao, Yongdong Zhang |
| 2026 | EACL | Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction. | Chong Zhang, Yixi Zhao, Yulu Xie, Chenshu Yuan, Yi Tu, Ya Guo, Mingxu Chai, Ziyu Shen, Yue Zhang, Qi Zhang |
| 2024 | EMNLP | SAFETY-J: Evaluating Safety with Critique. | Yixiu Liu, Yuxiang Zheng, Shijie Xia, Jiajun Li, Yi Tu, Chaoling Song, Pengfei Liu |
| 2024 | EMNLP | Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding. | Chong Zhang, Yi Tu, Yixi Zhao, Chenshu Yuan, Huan Chen, Yue Zhang, Mingxu Chai, Ya Guo, Huijia Zhu, Qi Zhang, Tao Gui |
| 2023 | ACL | LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding. | Yi Tu, Ya Guo, Huan Chen, Jinyang Tang |
| 2023 | EMNLP | Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction. | Chong Zhang, Ya Guo, Yi Tu, Huan Chen, Jinyang Tang, Huijia Zhu, Qi Zhang, Tao Gui |
| 2022 | ASIACRYPT | Enhancing Differential-Neural Cryptanalysis. | Zhenzhen Bao, Jian Guo, Meicheng Liu, Li Ma, Yi Tu |
| 2022 | ASIACRYPT | Exploring SAT for Cryptanalysis: (Quantum) Collision Attacks Against 6-Round SHA-3. | Jian Guo, Guozhen Liu, Ling Song, Yi Tu |
| 2022 | CRYPTO | Superposition Meet-in-the-Middle Attacks: Updates on Fundamental Security of AES-like Hashing. | Zhenzhen Bao, Jian Guo, Danping Shi, Yi Tu |
| 2022 | CSCWD | Improving the Deep-Learning-Based Differential Distinguisher and Applications to Simeck. | Lijun Lyu, Yi Tu, Yingjie Zhang |
| 2020 | AAAI | Image Cropping with Composition and Saliency Aware Aesthetic Score Map. | Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang |
| 2020 | CVPR | Learning From Web Data With Self-Organizing Memory Module. | Yi Tu, Li Niu, Junjie Chen, Dawei Cheng, Liqing Zhang |
| 2019 | CIKM | A Dynamic Default Prediction Framework for Networked-guarantee Loans. | Dawei Cheng, Yiyi Zhang, Fangzhou Yang, Yi Tu, Zhibin Niu, Liqing Zhang |
| 2019 | IJCAI | Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation. | Dawei Cheng, Yi Tu, Zhen-Wei Ma, Zhibin Niu, Liqing Zhang |
| 2018 | ICASSP | Learning Temporal Relationships Between Financial Signals. | Dawei Cheng, Yi Tu, Zhibin Niu, Liqing Zhang |
| 2018 | ICPR | Prediction Defaults for Networked-guarantee Loans. | Dawei Cheng, Zhibin Niu, Yi Tu, Liqing Zhang |
| 2018 | IJCAI | Neural Framework for Joint Evolution Modeling of User Feedback and Social Links in Dynamic Social Networks. | Peizhi Wu, Yi Tu, Xiaojie Yuan, Adam Jatowt, Zhenglu Yang |
| 2018 | WWW | Deep Modeling of the Evolution of User Preferences and Item Attributes in Dynamic Social Networks. | Peizhi Wu, Yi Tu, Zhenglu Yang, Adam Jatowt, Masato Odagaki |
| 2016 | ICONIP | Credit Card Fraud Detection Using Convolutional Neural Networks. | Kang Fu, Dawei Cheng, Yi Tu, Liqing Zhang |