Yu, Lu

30 publications

NeurIPS 2025 Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration Yifeng Yu, Lu Yu

TMLR 2025 Faithful Interpretation for Graph Neural Networks Lijie Hu, Tianhao Huang, Lu Yu, Wanyu Lin, Tianhang Zheng, Di Wang

CVPR 2025 GIFStream: 4D Gaussian-Based Immersive Video with Feature Stream Hao Li, Sicheng Li, Xiang Gao, Abudouaihati Batuer, Lu Yu, Yiyi Liao

CVPR 2025 Language Guided Concept Bottleneck Models for Interpretable Continual Learning Lu Yu, Haoyu Han, Zhe Tao, Hantao Yao, Changsheng Xu

ICML 2025 Locality Preserving Markovian Transition for Instance Retrieval Jifei Luo, Wenzheng Wu, Hantao Yao, Lu Yu, Changsheng Xu

ICML 2025 MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang

ICCV 2025 Semi-Supervised Concept Bottleneck Models Lijie Hu, Tianhao Huang, Huanyi Xie, Xilin Gong, Chenyang Ren, Zhengyu Hu, Lu Yu, Ping Ma, Di Wang

AAAI 2024 Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng

ICLR 2024 Langevin Monte Carlo for Strongly Log-Concave Distributions: Randomized Midpoint Revisited Lu Yu, Avetik Karagulyan, Arnak S. Dalalyan

CVPR 2024 NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation Sicheng Li, Hao Li, Yiyi Liao, Lu Yu

NeurIPS 2024 Text-Guided Attention Is All You Need for Zero-Shot Robustness in Vision-Language Models Lu Yu, Haiyang Zhang, Changsheng Xu

NeurIPS 2024 Towards Multi-Dimensional Explanation Alignment for Medical Classification Lijie Hu, Songning Lai, Wenshuo Chen, Hongru Xiao, Hongbin Lin, Lu Yu, Jingfeng Zhang, Di Wang

IJCAI 2023 Quality-Agnostic Image Captioning to Safely Assist People with Vision Impairment Lu Yu, Malvina Nikandrou, Jiali Jin, Verena Rieser

CVPR 2023 SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory Sicheng Li, Hao Li, Yue Wang, Yiyi Liao, Lu Yu

ICCV 2023 VeRi3D: Generative Vertex-Based Radiance Fields for 3D Controllable Human Image Synthesis Xinya Chen, Jiaxin Huang, Yanrui Bin, Lu Yu, Yiyi Liao

NeurIPS 2023 Volume Feature Rendering for Fast Neural Radiance Field Reconstruction Kang Han, Wei Xiang, Lu Yu

CVPR 2023 X-Pruner: eXplainable Pruning for Vision Transformers Lu Yu, Wei Xiang

CVPRW 2022 Continually Learning Self-Supervised Representations with Projected Functional Regularization Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer

ICLR 2022 Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data Yaxing Wang, Joost Van De Weijer, Lu Yu, Shangling Jui

ICMLW 2022 Knowledge Distillation for Efficient Sequences of Training Runs Xingyu Liu, Alexander Leonardi, Lu Yu, Christopher Gilmer-Hill, Matthew L Leavitt, Jonathan Frankle

COLT 2022 Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization Under Infinite Noise Variance Nuri Mert Vural, Lu Yu, Krishna Balasubramanian, Stanislav Volgushev, Murat A Erdogdu

AAAI 2022 SAIL: Self-Augmented Graph Contrastive Learning Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang

AISTATS 2021 False Discovery Rates in Biological Networks Lu Yu, Tobias Kaufmann, Johannes Lederer

NeurIPS 2021 An Analysis of Constant Step Size SGD in the Non-Convex Regime: Asymptotic Normality and Bias Lu Yu, Krishnakumar Balasubramanian, Stanislav Volgushev, Murat A Erdogdu

NeurIPS 2020 DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs Yaxing Wang, Lu Yu, Joost van de Weijer

IJCAI 2019 Improving Cross-Lingual Entity Alignment via Optimal Transport Shichao Pei, Lu Yu, Xiangliang Zhang

AAAI 2019 Multi-Order Attentive Ranking Model for Sequential Recommendation Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang

IJCAI 2018 Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla

AAAI 2018 WalkRanker: A Unified Pairwise Ranking Model with Multiple Relations for Item Recommendation Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang

CVPRW 2015 Exploiting Global Priors for RGB-D Saliency Detection Jianqiang Ren, Xiaojin Gong, Lu Yu, Wenhui Zhou, Michael Ying Yang