Wang, Jianxin

24 publications

NeurIPS 2025 A Single-Swap Local Search Algorithm for K-Means of Lines Ting Liang, Xiaoliang Wu, Junyu Huang, Jianxin Wang, Qilong Feng

AAAI 2025 C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction Zichen Wang, Hao Miao, Senzhang Wang, Renzhi Wang, Jianxin Wang, Jian Zhang

NeurIPS 2025 Fast Local Search Algorithms for Clustering with Adaptive Sampling and Bandit Strategies Junyu Huang, Zhen Zhang, Beirong Cui, Jianxin Wang, Qilong Feng

AAAI 2025 Fully-Scalable Massively Parallel Algorithm for K-Center with Outliers Di Wu, Qilong Feng, Junyu Huang, Jinhui Xu, Ziyun Huang, Jianxin Wang

NeurIPS 2025 Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation Kai Zheng, Jianxin Wang, Jinhui Xu

AAAI 2025 Improving Cancer Gene Prediction by Enhancing Common Information Between the PPI Network and Gene Functional Association Chao Deng, Hongdong Li, Jianxin Wang

ICLR 2025 New Algorithms for the Learning-Augmented K-Means Problem Junyu Huang, Qilong Feng, Ziyun Huang, Zhen Zhang, Jinhui Xu, Jianxin Wang

IJCAI 2025 Parameterized Approximation Algorithm for Doubly Constrained Fair Clustering Xiaoliang Wu, Qilong Feng, Junyu Huang, Jianxin Wang

ICLRW 2025 PartInstruct: Part-Level Instruction Following for Fine-Grained Robot Manipulation Yifan Yin, Zhengtao Han, Shivam Aarya, Shuhang Xu, Jianxin Wang, Jiawei Peng, Angtian Wang, Alan Yuille, Tianmin Shu

NeurIPS 2024 Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination Ruochen Liu, Hao Chen, Yuanchen Bei, Qijie Shen, Fangwei Zhong, Senzhang Wang, Jianxin Wang

NeurIPS 2024 Linear Time Approximation Algorithm for Column Subset Selection with Local Search Yuanbin Zou, Ziyun Huang, Jinhui Xu, Jianxin Wang, Qilong Feng

ICML 2024 Near-Linear Time Approximation Algorithms for K-Means with Outliers Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang

AAAI 2024 SEC: More Accurate Clustering Algorithm via Structural Entropy Junyu Huang, Qilong Feng, Jiahui Wang, Ziyun Huang, Jinhui Xu, Jianxin Wang

IJCAI 2024 SaSDim: Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation Shunyang Zhang, Senzhang Wang, Xianzhen Tan, Renzhi Wang, Ruochen Liu, Jian Zhang, Jianxin Wang

ICML 2023 Fast Algorithms for Distributed K-Clustering with Outliers Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang

ECML-PKDD 2023 Hierarchical Graph Contrastive Learning Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang

NeurIPS 2023 Linear Time Algorithms for K-Means with Multi-Swap Local Search Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang

ICLR 2023 Optimal Activation Functions for the Random Features Regression Model Jianxin Wang, José Bento

NeurIPS 2023 V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang

NeurIPS 2022 Coded Residual Transform for Generalizable Deep Metric Learning Shichao Kan, Yixiong Liang, Min Li, Yigang Cen, Jianxin Wang, Zhihai He

IJCAI 2022 FLS: A New Local Search Algorithm for K-Means with Smaller Search Space Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang

IJCAI 2019 Resolution and Domination: An Improved Exact MaxSAT Algorithm Chao Xu, Wenjun Li, Yongjie Yang, Jianer Chen, Jianxin Wang

IJCAI 2018 Multiwinner Voting with Restricted Admissible Sets: Complexity and Strategyproofness Yongjie Yang, Jianxin Wang

UAI 2016 Towards a Theoretical Understanding of Negative Transfer in Collective Matrix Factorization Chao Lan, Jianxin Wang, Jun Huan