Xu, Jie

56 publications

TMLR 2026 ToMoE: Converting Dense Large Language Models to Mixture-of-Experts Through Dynamic Structural Pruning Shangqian Gao, Ting Hua, Reza Shirkavand, Chi-Heng Lin, Zheng Tang, Zhengao Li, Longge Yuan, Fangyi Li, Zeyu Zhang, Alireza Ganjdanesh, Qian Lou, Jie Xu, Yen-Chang Hsu

ICCV 2025 A Unified Framework to BRIDGE Complete and Incomplete Deep Multi-View Clustering Under Non-IID Missing Patterns Xiaorui Jiang, Buyun He, Peng Yuan Zhou, Xinyue Chen, Jingcai Guo, Jie Xu, Yong Liao

NeurIPS 2025 Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning Lei Wang, Jieming Bian, Letian Zhang, Jie Xu

AAAI 2025 BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models Chengkun Sun, Jinqian Pan, Russell Stevens Terry, Jiang Bian, Jie Xu

AAAI 2025 Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities Chengkun Sun, Jinqian Pan, Zhuoli Jin, Russell Stevens Terry, Jiang Bian, Jie Xu

NeurIPS 2025 Efficient Federated Learning Against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients Shiyuan Zuo, Xingrun Yan, Rongfei Fan, Li Shen, Puning Zhao, Jie Xu, Han Hu

NeurIPS 2025 FedEL: Federated Elastic Learning for Heterogeneous Devices Letian Zhang, Bo Chen, Jieming Bian, Lei Wang, Jie Xu

IJCAI 2025 Graph Embedded Contrastive Learning for Multi-View Clustering Hongqing He, Jie Xu, Guoqiu Wen, Yazhou Ren, Na Zhao, Xiaofeng Zhu

CVPRW 2025 IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera Pose Alignment Letian Zhang, Ming Li, Chen Chen, Jie Xu

AAAI 2025 Incomplete Multi-View Clustering via Diffusion Contrastive Generation Yuanyang Zhang, Yijie Lin, Weiqing Yan, Li Yao, Xinhang Wan, Guangyuan Li, Chao Zhang, Guanzhou Ke, Jie Xu

AISTATS 2025 LMEraser: Large Model Unlearning via Adaptive Prompt Tuning Jie Xu, Zihan Wu, Cong Wang, Xiaohua Jia

ICCV 2025 LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement Jieming Bian, Lei Wang, Letian Zhang, Jie Xu

CoRL 2025 Neural Robot Dynamics Jie Xu, Eric Heiden, Iretiayo Akinola, Dieter Fox, Miles Macklin, Yashraj Narang

NeurIPS 2025 PIVNO: Particle Image Velocimetry Neural Operator Jie Xu, Xuesong Zhang, Jing Jiang, Qinghua Cui

ICLR 2025 Rethinking the Generalization of Drug Target Affinity Prediction Algorithms via Similarity Aware Evaluation Chenbin Zhang, Zhiqiang Hu, Jiang Chuchu, Wen Chen, Jie Xu, Shaoting Zhang

ICCV 2025 RetinexMCNet: A Memory Controller Dominated Network for Low-Light Video Enhancement Based on Retinex Meiao Wang, Xuejing Kang, Yaxi Lu, Jie Xu

ICCV 2025 Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation Jie Xu, Na Zhao, Gang Niu, Masashi Sugiyama, Xiaofeng Zhu

CoRL 2025 VT-Refine: Learning Bimanual Assembly with Visuo-Tactile Feedback via Simulation Fine-Tuning Binghao Huang, Jie Xu, Iretiayo Akinola, Wei Yang, Balakumar Sundaralingam, Rowland O’Flaherty, Dieter Fox, Xiaolong Wang, Arsalan Mousavian, Yu-Wei Chao, Yunzhu Li

ICLRW 2024 AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent Tongzhou Mu, Yijie Guo, Jie Xu, Ankit Goyal, Hao Su, Dieter Fox, Animesh Garg

ICML 2024 Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation Ignat Georgiev, Krishnan Srinivasan, Jie Xu, Eric Heiden, Animesh Garg

NeurIPS 2024 Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views Xinyue Chen, Yazhou Ren, Jie Xu, Fangfei Lin, Xiaorong Pu, Yang Yang

CVPRW 2024 InViG: Benchmarking Open-Ended Interactive Visual Grounding with 500k Dialogues Hanbo Zhang, Jie Xu, Yuchen Mo, Tao Kong

CVPR 2024 Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios Jie Xu, Yazhou Ren, Xiaolong Wang, Lei Feng, Zheng Zhang, Gang Niu, Xiaofeng Zhu

NeurIPS 2024 MeMo: Meaningful, Modular Controllers via Noise Injection Megan Tjandrasuwita, Jie Xu, Armando Solar-Lezama, Wojciech Matusik

NeurIPSW 2024 SAM-MPA: Applying SAM to Few-Shot Medical Image Segmentation Using Mask Propagation and Auto-Prompting Jie Xu, LiXiaokang, Chengyuyue, Chen Ma, Yi Guo, Yuanyuan Wang

L4DC 2024 Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following Motoya Ohnishi, Iretiayo Akinola, Jie Xu, Ajay Mandlekar, Fabio Ramos

IJCAI 2024 Simple Contrastive Multi-View Clustering with Data-Level Fusion Caixuan Luo, Jie Xu, Yazhou Ren, Junbo Ma, Xiaofeng Zhu

NeurIPS 2024 Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains Lei Wang, Jieming Bian, Letian Zhang, Chen Chen, Jie Xu

ICLR 2024 Vision-Language Foundation Models as Effective Robot Imitators Xinghang Li, Minghuan Liu, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, Hang Li, Tao Kong

ICCV 2023 CO-Net: Learning Multiple Point Cloud Tasks at Once with a Cohesive Network Tao Xie, Ke Wang, Siyi Lu, Yukun Zhang, Kun Dai, Xiaoyu Li, Jie Xu, Li Wang, Lijun Zhao, Xinyu Zhang, Ruifeng Li

AAAI 2023 Dual Label-Guided Graph Refinement for Multi-View Graph Clustering Yawen Ling, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu, Xiaofeng Zhu, Lifang He

ICCV 2023 Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation Guangnian Wan, Haitao Du, Xuejing Yuan, Jun Yang, Meiling Chen, Jie Xu

ICCV 2023 OFVL-MS: Once for Visual Localization Across Multiple Indoor Scenes Tao Xie, Kun Dai, Siyi Lu, Ke Wang, Zhiqiang Jiang, Jinghan Gao, Dedong Liu, Jie Xu, Lijun Zhao, Ruifeng Li

CoRL 2023 RVT: Robotic View Transformer for 3D Object Manipulation Ankit Goyal, Jie Xu, Yijie Guo, Valts Blukis, Yu-Wei Chao, Dieter Fox

NeurIPS 2023 Self-Weighted Contrastive Learning Among Multiple Views for Mitigating Representation Degeneration Jie Xu, Shuo Chen, Yazhou Ren, Xiaoshuang Shi, Hengtao Shen, Gang Niu, Xiaofeng Zhu

ICLR 2022 Accelerated Policy Learning with Parallel Differentiable Simulation Jie Xu, Viktor Makoviychuk, Yashraj Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin

AAAI 2022 ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

AAAI 2022 Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu

CoRL 2022 Efficient Tactile Simulation with Differentiability for Robotic Manipulation Jie Xu, Sangwoon Kim, Tao Chen, Alberto Rodriguez Garcia, Pulkit Agrawal, Wojciech Matusik, Shinjiro Sueda

CVPR 2022 Multi-Level Feature Learning for Contrastive Multi-View Clustering Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, Lifang He

ECCV 2022 Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching Jiazhen Liu, Xirong Li, Qijie Wei, Jie Xu, Dayong Ding

AAAI 2022 Simple Unsupervised Graph Representation Learning Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu

CoRL 2021 A System for General In-Hand Object Re-Orientation Tao Chen, Jie Xu, Pulkit Agrawal

NeurIPS 2021 Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots Jagdeep Bhatia, Holly Jackson, Yunsheng Tian, Jie Xu, Wojciech Matusik

ICCV 2021 Multi-VAE: Learning Disentangled View-Common and View-Peculiar Visual Representations for Multi-View Clustering Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He

AAAI 2020 Federated Patient Hashing Jie Xu, Zhenxing Xu, Peter B. Walker, Fei Wang

ICML 2020 Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control Jie Xu, Yunsheng Tian, Pingchuan Ma, Daniela Rus, Shinjiro Sueda, Wojciech Matusik

AAAI 2019 Orthogonality-Promoting Dictionary Learning via Bayesian Inference Lei Luo, Jie Xu, Cheng Deng, Heng Huang

AAAI 2019 Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees Lei Luo, Jie Xu, Cheng Deng, Heng Huang

NeurIPS 2018 Bilevel Distance Metric Learning for Robust Image Recognition Jie Xu, Lei Luo, Cheng Deng, Heng Huang

NeurIPS 2018 Contextual Combinatorial Multi-Armed Bandits with Volatile Arms and Submodular Reward Lixing Chen, Jie Xu, Zhuo Lu

IJCAI 2018 Multi-Level Metric Learning via Smoothed Wasserstein Distance Jie Xu, Lei Luo, Cheng Deng, Heng Huang

IJCAI 2017 Multi-Class Support Vector Machine via Maximizing Multi-Class Margins Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang

IJCAI 2017 Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model Jie Xu, Cheng Deng, Xinbo Gao, Dinggang Shen, Heng Huang

AAAI 2017 Progressive Prediction of Student Performance in College Programs Jie Xu, Yuli Han, Daniel Marcu, Mihaela van der Schaar

ICCV 2009 Finding Shareable Informative Patterns and Optimal Coding Matrix for Multiclass Boosting Bang Zhang, Getian Ye, Yang Wang, Jie Xu, Gunawan Herman