| 2025 | ACL | NOVA: An Iterative Planning Framework for Enhancing Scientific Innovation with Large Language Models. | Xiang Hu, Hongyu Fu, Jinge Wang, Yifeng Wang, Zhikun Li, Renjun Xu, Yu Lu, Yaochu Jin, Lili Pan, Zhenzhong Lan |
| 2025 | CogSci | Cognitive Representation in Large Language Models: Formalizing Psychological Constructs for Automated Questionnaire Generation. | Yang Yan, Lizhi Ma, Yu Lu, Renjun Xu, Zhenzhong Lan |
| 2025 | CogSci | Cognitive Distillation with Parameter-Efficient LLMs: Chain-of-Thought Calibration for Personality Prediction. | Yang Yan, Lizhi Ma, Yu Lu, Renjun Xu, Zhenzhong Lan |
| 2025 | EMNLP | Do Large Language Models Truly Grasp Addition? A Rule-Focused Diagnostic Using Two-Integer Arithmetic. | Yang Yan, Yu Lu, Renjun Xu, Zhenzhong Lan |
| 2023 | KDD | Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling. | Bei Yang, Jie Gu, Ke Liu, Xiaoxiao Xu, Renjun Xu, Qinghui Sun, Hong Liu |
| 2023 | UAI | E(2)-Equivariant Vision Transformer. | Renjun Xu, Kaifan Yang, Ke Liu, Fengxiang He |
| 2022 | IJCAI | S2SNet: A Pretrained Neural Network for Superconductivity Discovery. | Ke Liu, Kaifan Yang, Jiahong Zhang, Renjun Xu |
| 2021 | CIKM | AdaRNN: Adaptive Learning and Forecasting of Time Series. | Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang |
| 2020 | CVPR | Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation. | Renjun Xu, Pelen Liu, Liyan Wang, Chao Chen, Jindong Wang |
| 2020 | IJCAI | Joint Partial Optimal Transport for Open Set Domain Adaptation. | Renjun Xu, Pelen Liu, Yin Zhang, Fang Cai, Jindong Wang, Shuoying Liang, Heting Ying, Jianwei Yin |