| 2026 | AAAI | Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG. | Bo Li, Tian Tian, Zhenghua Xu, Hao Cheng, Shikun Zhang, Wei Ye |
| 2026 | AAAI | Language Drift in Multilingual Retrieval-Augmented Generation: Characterization and Decoding-Time Mitigation. | Bo Li, Zhenghua Xu, Rui Xie |
| 2025 | ACL | MPL: Multiple Programming Languages with Large Language Models for Information Extraction. | Bo Li, Gexiang Fang, Wei Ye, Zhenghua Xu, Jinglei Zhang, Hao Cheng, Shikun Zhang |
| 2024 | ICLR | A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. | Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz |
| 2023 | ICASSP | MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. | Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu |
| 2023 | ICASSP | MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation. | Ruizhi Wang, Xiangtao Wang, Zhenghua Xu, Wenting Xu, Junyang Chen, Thomas Lukasiewicz |
| 2023 | ICASSP | Multi-Head Feature Pyramid Networks for Breast Mass Detection. | Hexiang Zhang, Zhenghua Xu, Dan Yao, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz |
| 2022 | AAAI | Reverse Differentiation via Predictive Coding. | Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz |
| 2021 | AAAI | Detecting Beneficial Feature Interactions for Recommender Systems. | Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu |
| 2021 | CVPR | RSG: A Simple but Effective Module for Learning Imbalanced Datasets. | Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu |
| 2020 | AAAI | Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. | Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu |
| 2020 | AAAI | Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. | Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Andrzej Wojcicki, Mai Xu |
| 2020 | ICASSP | Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. | Zhenghua Xu, Di Yuan, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Guizhi Xu |
| 2019 | AAAI | Diversity-Driven Extensible Hierarchical Reinforcement Learning. | Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu |
| 2019 | ICASSP | Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment. | Bo Li, Zehua Cheng, Zhenghua Xu, Wei Ye, Thomas Lukasiewicz, Shikun Zhang |
| 2017 | DASFAA | Location-Aware News Recommendation Using Deep Localized Semantic Analysis. | Cheng Chen, Thomas Lukasiewicz, Xiangwu Meng, Zhenghua Xu |
| 2017 | IJCAI | Tag-Aware Personalized Recommendation Using a Hybrid Deep Model. | Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Xiangwu Meng |
| 2016 | CIKM | Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling. | Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao, Xiangwu Meng |
| 2013 | ICDE | Destination prediction by sub-trajectory synthesis and privacy protection against such prediction. | Andy Yuan Xue, Rui Zhang, Yu Zheng, Xing Xie, Jin Huang, Zhenghua Xu |
| 2012 | ADC | A Branch and Bound Method for Min-dist Location Selection Queries. | Jianzhong Qi, Zhenghua Xu, Yuan Xue, Zeyi Wen |
| 2012 | EDBT | An adaptive algorithm for online time series segmentation with error bound guarantee. | Zhenghua Xu, Rui Zhang, Kotagiri Ramamohanarao, Udaya Parampalli |