Renjun Xu

According to our database, Renjun Xu authored at least 31 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Scientific Large Language Models: A Survey on Biological & Chemical Domains.

Qiang Zhang, Keyan Ding, Tianwen Lv, Xinda Wang, Qingyu Yin, Yiwen Zhang, Jing Yu, Yuhao Wang, Xiaotong Li, Zhuoyi Xiang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Mengyao Zhang, Jinlu Zhang, Jiyu Cui, Renjun Xu, Hongyang Chen, Xiaohui Fan, Huabin Xing, Huajun Chen

ACM Comput. Surv., June, 2025

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications.

Renjun Xu, Jingwen Peng

CoRR, June, 2025

Do PhD-level LLMs Truly Grasp Elementary Addition? Probing Rule Learning vs. Memorization in Large Language Models.

Yang Yan, Yu Lu, Renjun Xu, Zhenzhong Lan

CoRR, April, 2025

Scaling Laws of Scientific Discovery with AI and Robot Scientists.

Pengsong Zhang, Heng Zhang, Huazhe Xu, Renjun Xu, Zhenting Wang, Cong Wang, Animesh Garg, Zhibin Li, Arash Ajoudani, Xinyu Liu

CoRR, March, 2025

Breaking the Box: Enhancing Remote Sensing Image Segmentation with Freehand Sketches.

Ying Zang, Yuncan Gao, Jiangi Zhang, Yuangi Hu, Runlong Cao, Lanyun Zhu, Qi Zhu, Deyi Ji, Renjun Xu, Tianrun Chen

CoRR, March, 2025

Syllables to Scenes: Literary-Guided Free-Viewpoint 3D Scene Synthesis from Japanese Haiku.

Chunan Yu, Yidong Han, Chaotao Ding, Ying Zang, Lanyun Zhu, Xinhao Chen, Zejian Li, Renjun Xu, Tianrun Chen

CoRR, February, 2025

ConceptPsy: A comprehensive benchmark suite for hierarchical psychological concept understanding in LLMs.

Junlei Zhang, Hongliang He, Lizhi Ma, Nirui Song, Shuyuan He, Shuai Zhang, Huachuan Qiu, Zhanchao Zhou, Anqi Li, Yong Dai, Renjun Xu, Zhenzhong Lan

Neurocomputing, 2025

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Personalized Federated Learning With Adaptive Batchnorm for Healthcare.

Wang Lu, Jindong Wang, Yiqiang Chen, Xin Qin, Renjun Xu, Dimitrios Dimitriadis, Tao Qin

IEEE Trans. Big Data, December, 2024

Offline prompt polishing for low quality instructions.

Jia Yu, Zhanchao Zhou, Long Li, Ling Li, Yuming Yan, Renjun Xu, Zhenzhong Lan

Neurocomputing, 2024

UBER: Uncertainty-Based Evolution with Large Language Models for Automatic Heuristic Design.

Zijie Chen, Zhanchao Zhou, Yu Lu, Renjun Xu, Lili Pan, Zhenzhong Lan

CoRR, 2024

MetaRuleGPT: Recursive Numerical Reasoning of Language Models Trained with Simple Rules.

Kejie Chen, Lin Wang, Qinghai Zhang, Renjun Xu

CoRR, 2024

Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas.

Xiang Hu, Hongyu Fu, Jinge Wang, Yifeng Wang, Zhikun Li, Renjun Xu, Yu Lu, Yaochu Jin, Lili Pan, Zhenzhong Lan

CoRR, 2024

Unveiling the Impact of Multi-Modal Interactions on User Engagement: A Comprehensive Evaluation in AI-driven Conversations.

Lichao Zhang, Jia Yu, Shuai Zhang, Long Li, Yangyang Zhong, Guanbao Liang, Yuming Yan, Qing Ma, Fangsheng Weng, Fayu Pan, Jing Li, Renjun Xu, Zhenzhong Lan

CoRR, 2024

Scientific Large Language Models: A Survey on Biological & Chemical Domains.

Qiang Zhang, Keyang Ding, Tianwen Lyv, Xinda Wang, Qingyu Yin, Yiwen Zhang, Jing Yu, Yuhao Wang, Xiaotong Li, Zhuoyi Xiang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Mengyao Zhang, Jinlu Zhang, Jiyu Cui, Renjun Xu, Hongyang Chen, Xiaohui Fan, Huabin Xing, Huajun Chen

CoRR, 2024

Language-agnostic Zero-shot Entity Linking via Entity Prototype Network.

Haihong Yang, Ming Qin, Qiang Zhang, Renjun Xu

Proceedings of the IEEE International Conference on Knowledge Graph, 2024

2023

E(2)-Equivariant Vision Transformer.

Renjun Xu, Kaifan Yang, Ke Liu, Fengxiang He

Proceedings of the Uncertainty in Artificial Intelligence, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Modeling Dynamic Missingness of Implicit Feedback for Sequential Recommendation.

Xiaolin Zheng, Menghan Wang, Renjun Xu, Jianmeng Li, Yan Wang

IEEE Trans. Knowl. Data Eng., 2022

Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition.

Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Hierarchical knowledge amalgamation with dual discriminative feature alignment.

Renjun Xu, Shuoying Liang, Lanyu Wen, Zhitong Guo, Xinyue Huang, Mingli Song, Jindong Wang, Xiaoxiao Xu, Huajun Chen

Inf. Sci., 2022

Learning Interest-oriented Universal User Representation via Self-supervision.

Qinghui Sun, Jie Gu, Xiaoxiao Xu, Renjun Xu, Ke Liu, Bei Yang, Hong Liu, Huan Xu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

S2SNet: A Pretrained Neural Network for Superconductivity Discovery.

Ke Liu, Kaifan Yang, Jiahong Zhang, Renjun Xu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Hypomimia Recognition in Parkinson's Disease With Semantic Features.

Ge Su, Bo Lin, Wei Luo, Jianwei Yin, Shuiguang Deng, Honghao Gao, Renjun Xu

ACM Trans. Multim. Comput. Commun. Appl., 2021

Learning Universal User Representations via Self-Supervised Lifelong Behaviors Modeling.

Bei Yang, Ke Liu, Xiaoxiao Xu, Renjun Xu, Hong Liu, Huan Xu

CoRR, 2021

Interest-oriented Universal User Representation via Contrastive Learning.

Qinghui Sun, Jie Gu, Bei Yang, Xiaoxiao Xu, Renjun Xu, Shangde Gao, Hong Liu, Huan Xu

CoRR, 2021

Learning Invariant Representations across Domains and Tasks.

Jindong Wang, Wenjie Feng, Chang Liu, Chaohui Yu, Mingxuan Du, Renjun Xu, Tao Qin, Tie-Yan Liu

CoRR, 2021

AdaRNN: Adaptive Learning and Forecasting of Time Series.

Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Learning to Match Distributions for Domain Adaptation.

Chaohui Yu, Jindong Wang, Chang Liu, Tao Qin, Renjun Xu, Wenjie Feng, Yiqiang Chen, Tie-Yan Liu

CoRR, 2020

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation.

Renjun Xu, Pelen Liu, Liyan Wang, Chao Chen, Jindong Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020