Li, Xingjian

22 publications

CVPR 2025 BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment Runmin Jiang, Jackson Daggett, Shriya Pingulkar, Yizhou Zhao, Priyanshu Dhingra, Daniel Brown, Qifeng Wu, Xiangrui Zeng, Xingjian Li, Min Xu

CVPR 2025 DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences Xingjian Li, Qiming Zhao, Neelesh Bisht, Mostofa Rafid Uddin, Jin Yu Kim, Bryan Zhang, Min Xu

CVPRW 2025 Multimodal Generalized Category Discovery Yuchang Su, Renping Zhou, Siyu Huang, Xingjian Li, Tianyang Wang, Ziyue Wang, Min Xu

NeurIPS 2025 Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency Kelvin Kan, Xingjian Li, Benjamin Zhang, Tuhin Sahai, Stanley Osher, Markos Katsoulakis

AAAI 2025 Vox-UDA: Voxel-Wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu

AAAI 2024 Deep Active Learning with Noise Stability Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu

AAAI 2024 G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou

IJCAI 2024 Geometry-Guided Conditional Adaptation for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries Jingyang Deng, Xingjian Li, Haoyi Xiong, Xiaoguang Hu, Jinwen Ma

CVPRW 2024 Photorealistic Arm Robot Simulation for 3D Plant Reconstruction and Automatic Annotation Using Unreal Engine 5 Xingjian Li, Jeremy Park, Chris Reberg-Horton, Steven B. Mirsky, Edgar J. Lobaton, Lirong Xiang

MLJ 2024 Towards Accurate Knowledge Transfer via Target-Awareness Representation Disentanglement Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou

ECML-PKDD 2023 Overcoming Catastrophic Forgetting for Fine-Tuning Pre-Trained GANs Zeren Zhang, Xingjian Li, Tao Hong, Tianyang Wang, Jinwen Ma, Haoyi Xiong, Cheng-Zhong Xu

TMLR 2023 SMILE: Sample-to-Feature Mixup for Efficient Transfer Learning Xingjian Li, Haoyi Xiong, Cheng-zhong Xu, Dejing Dou

ICCV 2023 Towards Inadequately Pre-Trained Models in Transfer Learning Andong Deng, Xingjian Li, Di Hu, Tianyang Wang, Haoyi Xiong, Cheng-Zhong Xu

AAAI 2022 Boosting Active Learning via Improving Test Performance Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu

MLOSS 2022 InterpretDL: Explaining Deep Models in PaddlePaddle Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Zeyu Chen, Dejing Dou

NeurIPSW 2022 SMILE: Sample-to-Feature MIxup for Efficient Transfer LEarning Xingjian Li, Haoyi Xiong, Cheng-zhong Xu, Dejing Dou

CVPR 2021 Adaptive Consistency Regularization for Semi-Supervised Transfer Learning Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou

AAAI 2021 OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto

AAAI 2021 Temporal Relational Modeling with Self-Supervision for Action Segmentation Dong Wang, Di Hu, Xingjian Li, Dejing Dou

ICLR 2020 Pay Attention to Features, Transfer Learn Faster CNNs Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu

ICML 2020 RIFLE: Backpropagation in Depth for Deep Transfer Learning Through Re-Initializing the Fully-Connected LayEr Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou

ICLR 2019 Delta: Deep Learning Transfer Using Feature mAP with Attention for Convolutional Networks Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Jun Huan