Lu, Yue

29 publications

AISTATS 2025 A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities Yatin Dandi, Luca Pesce, Hugo Cui, Florent Krzakala, Yue Lu, Bruno Loureiro
AAAI 2025 BiMAC: Bidirectional Multimodal Alignment in Contrastive Learning Masoumeh Zareapoor, Pourya Shamsolmoali, Yue Lu
ICCV 2025 MSA2: Multi-Task Framework with Structure-Aware and Style-Adaptive Character Representation for Open-Set Chinese Text Recognition Yangfu Li, Hongjian Zhan, Qi Liu, Li Sun, Yu-Jie Xiong, Yue Lu
WACV 2025 ShapeMorph: 3D Shape Completion via Blockwise Discrete Diffusion Jiahui Li, Pourya Shamsolmoali, Yue Lu, Masoumeh Zareapoor
AAAI 2025 Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning Yue Lu, Shizhou Zhang, De Cheng, Guoqiang Liang, Yinghui Xing, Nannan Wang, Yanning Zhang
NeurIPS 2025 Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering Yangfu Li, Hongjian Zhan, Tianyi Chen, Qi Liu, Yu-Jie Xiong, Yue Lu
ICML 2024 Asymptotics of Feature Learning in Two-Layer Networks After One Gradient-Step Hugo Cui, Luca Pesce, Yatin Dandi, Florent Krzakala, Yue Lu, Lenka Zdeborova, Bruno Loureiro
AAAI 2024 Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model Lingjun Zhang, Xinyuan Chen, Yaohui Wang, Yue Lu, Yu Qiao
AAAI 2024 Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network Jiajun Wei, Hongjian Zhan, Yue Lu, Xiao Tu, Bing Yin, Cong Liu, Umapada Pal
NeurIPSW 2024 In-Context Learning by Linear Attention: Exact Asymptotics and Experiments Yue Lu, Mary Letey, Jacob A Zavatone-Veth, Anindita Maiti, Cengiz Pehlevan
NeurIPSW 2024 Learning Region-Word Alignment with Attentive Masking for Open-Vocabulary Object Detection Masoumeh Zareapoor, Pourya Shamsolmoali, Yue Lu
AAAI 2024 Spotting the Unseen: Reciprocal Consensus Network Guided by Visual Archetypes Wenbo Hu, Hongjian Zhan, Xinchen Ma, Yue Lu, Ching Y. Suen
NeurIPS 2024 Visual Prompt Tuning in Null Space for Continual Learning Yue Lu, Shizhou Zhang, De Cheng, Yinghui Xing, Nannan Wang, Peng Wang, Yanning Zhang
CVPR 2023 A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation Congqi Cao, Yue Lu, Peng Wang, Yanning Zhang
WACV 2023 Meta-OLE: Meta-Learned Orthogonal Low-Rank Embedding Ze Wang, Yue Lu, Qiang Qiu
NeurIPS 2022 Precise Learning Curves and Higher-Order Scalings for Dot-Product Kernel Regression Lechao Xiao, Hong Hu, Theodor Misiakiewicz, Yue Lu, Jeffrey Pennington
ECCV 2022 SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition Dajian Zhong, Shujing Lyu, Palaiahnakote Shivakumara, Bing Yin, Jiajia Wu, Umapada Pal, Yue Lu
ECCV 2022 UC-OWOD: Unknown-Classified Open World Object Detection Zhiheng Wu, Yue Lu, Xingyu Chen, Zhengxing Wu, Liwen Kang, Junzhi Yu
CVPR 2021 DG-Font: Deformable Generative Networks for Unsupervised Font Generation Yangchen Xie, Xinyuan Chen, Li Sun, Yue Lu
ICML 2021 On the Inherent Regularization Effects of Noise Injection During Training Oussama Dhifallah, Yue Lu
NeurIPS 2020 Generalization Error in High-Dimensional Perceptrons: Approaching Bayes Error with Convex Optimization Benjamin Aubin, Florent Krzakala, Yue Lu, Lenka Zdeborová
ICML 2020 The Role of Regularization in Classification of High-Dimensional Noisy Gaussian Mixture Francesca Mignacco, Florent Krzakala, Yue Lu, Pierfrancesco Urbani, Lenka Zdeborova
NeurIPS 2019 A Solvable High-Dimensional Model of GAN Chuang Wang, Hong Hu, Yue Lu
ICML 2019 Generalized Approximate Survey Propagation for High-Dimensional Estimation Carlo Lucibello, Luca Saglietti, Yue Lu
CVPRW 2019 NTIRE 2019 Challenge on Real Image Denoising: Methods and Results Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang, Kai Zhang, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini, Chi Li, Yang Wang, Zhiguo Cao
IJCAI 2017 A Sequence Labeling Convolutional Network and Its Application to Handwritten String Recognition Qingqing Wang, Yue Lu
NeurIPS 2017 The Scaling Limit of High-Dimensional Online Independent Component Analysis Chuang Wang, Yue Lu
CVPRW 2003 A Web-Based System for Retrieving Document Images from Digital Library Li Zhang, Yue Lu, Chew Lim Tan
CVPRW 2003 Word Extraction Using Area Voronoi Diagram Zhe Wang, Yue Lu, Chew Lim Tan