| 2026 | ACL | Min-k Sampling: Decoupling Truncation from Temperature Scaling via Relative Logit Dynamics. | Yuanhao Ding, Meimingwei Li, Esteban Garces Arias, Matthias Aenmacher, Christian Heumann, Chongsheng Zhang |
| 2026 | ACL | Self-Reinforcing Controllable Synthesis of Rare Relational Data via Bayesian Calibration. | Chongsheng Zhang, Hao Wang, Zelong Yu, Esteban Garces Arias, Julian Rodemann, Zhanshuo Zhang, Qilong Li, Gaojuan Fan, Krikamol Muandet, Christian Heumann |
| 2026 | ICDAR | Parameter-Efficient and Adaptive Fine-Tuning for Long-Tailed Ancient Characters Recognition. | Hao Wang, Aouaidjia Kamel, Constantine Kotropoulos, Chongsheng Zhang |
| 2025 | EMNLP | GUARD: Glocal Uncertainty-Aware Robust Decoding for Effective and Efficient Open-Ended Text Generation. | Yuanhao Ding, Esteban Garces Arias, Meimingwei Li, Julian Rodemann, Matthias Aenmacher, Danlu Chen, Gaojuan Fan, Christian Heumann, Chongsheng Zhang |
| 2023 | AAAI | Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data. | Chongsheng Zhang, Yaxin Hou, Ke Chen, Shuang Cao, Gaojuan Fan, Ji Liu |
| 2023 | CBMS | SACA-UNet:Medical Image Segmentation Network Based on Self-Attention and ASPP. | Gaojuan Fan, Jie Wang, Chongsheng Zhang |
| 2022 | KDD | Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme. | Chongsheng Zhang, Bin Wang, Ke Chen, Ruixing Zong, Bofeng Mo, Yi Men, George Almpanidis, Shanxiong Chen, Xiangliang Zhang |
| 2020 | IJCAI | AI-Powered Oracle Bone Inscriptions Recognition and Fragments Rejoining. | Chongsheng Zhang, Ruixing Zong, Shuang Cao, Yi Men, Bofeng Mo |
| 2014 | CBMS | Real-Time Biomedical Instance Selection. | Chongsheng Zhang, Roberto D'Ambrosio, Paolo Soda |
| 2014 | DaWaK | "Real-time" Instance Selection for Biomedical Data Classification. | Chongsheng Zhang, Roberto D'Ambrosio, Paolo Soda |
| 2014 | SSDBM | A system for efficient and simultaneous processing of moving K nearest neighbor and spatial keyword queries. | Chongsheng Zhang |
| 2013 | SAC | Mining frequent itemsets over tuple-evolving data streams. | Chongsheng Zhang, Yuan Hao, Mirjana Mazuran, Carlo Zaniolo, Hamid Mousavi, Florent Masseglia |
| 2012 | ICTAI | Discovering Highly Informative Feature Set over High Dimensions. | Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang |
| 2012 | PAKDD | A Double-Ensemble Approach for Classifying Skewed Data Streams. | Chongsheng Zhang, Paolo Soda |
| 2012 | TIME | Modeling and Clustering Users with Evolving Profiles in Usage Streams. | Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang |
| 2010 | DEXA | Discovering Highly Informative Feature Sets from Data Streams. | Chongsheng Zhang, Florent Masseglia |
| 2010 | ICDM | ABS: The Anti Bouncing Model for Usage Data Streams. | Chongsheng Zhang, Florent Masseglia, Yves Lechevallier |
| 2008 | ADMA | Mining Top-n Local Outliers in Constrained Spatial Networks. | Chongsheng Zhang, Zhongbo Wu, Bo Qu, Hong Chen |