Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation. - Renjun Xu; Pelen Liu; Liyan Wang; Chao Chen 026; Jindong Wang 001 (CVPR, 2020)

Joint Partial Optimal Transport for Open Set Domain Adaptation. - Renjun Xu; Pelen Liu; Yin Zhang; Fang Cai; Jindong Wang 001; Shuoying Liang; Heting Ying; Jianwei Yin (IJCAI, 2020)

Learning to Match Distributions for Domain Adaptation. - Chaohui Yu; Jindong Wang 001; Chang Liu 030; Tao Qin 001; Renjun Xu; Wenjie Feng 001; Yiqiang Chen 001; Tie-Yan Liu (CoRR, 2020)

AdaRNN: Adaptive Learning and Forecasting of Time Series. - Yuntao Du 001; Jindong Wang 001; Wenjie Feng 001; Sinno Jialin Pan; Tao Qin 001; Renjun Xu; Chongjun Wang (CIKM, 2021)

Learning Invariant Representations across Domains and Tasks. - Jindong Wang 001; Wenjie Feng 001; Chang Liu 030; Chaohui Yu; Mingxuan Du; Renjun Xu; Tao Qin 001; Tie-Yan Liu (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 Universal User Representations via Self-Supervised Lifelong Behaviors Modeling. - Bei Yang; Ke Liu 012; Xiaoxiao Xu; Renjun Xu; Hong Liu; Huan Xu (CoRR, 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)

S2SNet: A Pretrained Neural Network for Superconductivity Discovery. - Ke Liu 012; Kaifan Yang; Jiahong Zhang; Renjun Xu (IJCAI, 2022)

Learning Interest-oriented Universal User Representation via Self-supervision. - Qinghui Sun; Jie Gu; Xiaoxiao Xu; Renjun Xu; Ke Liu 012; Bei Yang; Hong Liu; Huan Xu (ACM Multimedia, 2022)

Hierarchical knowledge amalgamation with dual discriminative feature alignment. - Renjun Xu; Shuoying Liang; Lanyu Wen; Zhitong Guo; Xinyue Huang; Mingli Song; Jindong Wang 001; Xiaoxiao Xu; Huajun Chen (Inf. Sci., 2022)

Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition. - Wenxin Hou; Han Zhu 004; Yidong Wang; Jindong Wang 001; Tao Qin 001; Renjun Xu; Takahiro Shinozaki (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Modeling Dynamic Missingness of Implicit Feedback for Sequential Recommendation. - Xiaolin Zheng; Menghan Wang; Renjun Xu; Jianmeng Li; Yan Wang 002 (IEEE Trans. Knowl. Data Eng., 2022)

Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling. - Bei Yang; Jie Gu; Ke Liu 012; Xiaoxiao Xu; Renjun Xu; Qinghui Sun; Hong Liu (KDD, 2023)

E(2)-Equivariant Vision Transformer. - Renjun Xu; Kaifan Yang; Ke Liu 012; Fengxiang He (UAI, 2023)

Language-agnostic Zero-shot Entity Linking via Entity Prototype Network. - Haihong Yang; Ming Qin; Qiang Zhang; Renjun Xu (ICKG, 2024)

Scientific Large Language Models: A Survey on Biological & Chemical Domains. - Qiang Zhang 026; Keyang Ding; Tianwen Lyv; Xinda Wang 005; Qingyu Yin; Yiwen Zhang; Jing Yu; Yuhao Wang; Xiaotong Li; Zhuoyi Xiang; Xiang Zhuang; Zeyuan Wang; et al. (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; et al. (CoRR, 2024)

Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas. - Xiang Hu; Hongyu Fu; Jinge Wang 010; Yifeng Wang; Zhikun Li; Renjun Xu; Yu Lu; Yaochu Jin; Lili Pan 001; 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)

UBER: Uncertainty-Based Evolution with Large Language Models for Automatic Heuristic Design. - Zijie Chen; Zhanchao Zhou; Yu Lu; Renjun Xu; Lili Pan 001; Zhenzhong Lan (CoRR, 2024)

Offline prompt polishing for low quality instructions. - Jia Yu; Zhanchao Zhou; Long Li; Ling Li; Yuming Yan; Renjun Xu; Zhenzhong Lan (Neurocomputing, 2024)

Personalized Federated Learning With Adaptive Batchnorm for Healthcare. - Wang Lu; Jindong Wang 001; Yiqiang Chen 001; Xin Qin; Renjun Xu; Dimitrios Dimitriadis; Tao Qin 001 (IEEE Trans. Big Data, 2024)

NOVA: An Iterative Planning Framework for Enhancing Scientific Innovation with Large Language Models. - Xiang Hu; Hongyu Fu; Jinge Wang 010; Yifeng Wang; Zhikun Li; Renjun Xu; Yu Lu; Yaochu Jin; Lili Pan 001; Zhenzhong Lan (ACL (Findings), 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 002; Yong Dai 001; Renjun Xu; Zhenzhong Lan (Neurocomputing, 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, 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, 2025)

Scaling Laws of Scientific Discovery with AI and Robot Scientists. - Pengsong Zhang 001; Heng Zhang 023; Huazhe Xu; Renjun Xu; Zhenting Wang; Cong Wang; Animesh Garg; Zhibin Li; Arash Ajoudani; Xinyu Liu 002 (CoRR, 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, 2025)

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications. - Renjun Xu; Jingwen Peng (CoRR, 2025)

Scientific Large Language Models: A Survey on Biological & Chemical Domains. - Qiang Zhang 026; Keyan Ding; Tianwen Lv; Xinda Wang 005; Qingyu Yin; Yiwen Zhang; Jing Yu; Yuhao Wang; Xiaotong Li; Zhuoyi Xiang; Xiang Zhuang; Zeyuan Wang; et al. (ACM Comput. Surv., 2025)