Lin, Xinyu

11 publications

ICLR 2025 Efficient Inference for Large Language Model-Based Generative Recommendation Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

NeurIPS 2025 R$^2$ec: Towards Large Recommender Models with Reasoning Runyang You, Yongqi Li, Xinyu Lin, Xin Zhang, Wenjie Wang, Wenjie Li, Liqiang Nie

CVPR 2025 TSP-Mamba: The Travelling Salesman Problem Meets Mamba for Image Super-Resolution and Beyond Kun Zhou, Xinyu Lin, Jiangbo Lu

AAAI 2024 Temporally and Distributionally Robust Optimization for Cold-Start Recommendation Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua

NeurIPS 2024 UPS: Unified Projection Sharing for Lightweight Single-Image Super-Resolution and Beyond Kun Zhou, Xinyu Lin, Zhonghang Liu, Xiaoguang Han, Jiangbo Lu

ECCV 2024 Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image Enhancement Kun Zhou, Xinyu Lin, Wenbo Li, Xiaogang Xu, Yuanhao Cai, Zhonghang Liu, Xiaoguang Han, Jiangbo Lu

NeurIPS 2023 How Hard Are Computer Vision Datasets? Calibrating Dataset Difficulty to Viewing Time David Mayo, Jesse Cummings, Xinyu Lin, Dan Gutfreund, Boris Katz, Andrei Barbu

ICMLW 2022 Growing ObjectNet: Adding Speech, VQA, Occlusion, and Measuring Dataset Difficulty David Mayo, David Lu, Chris Zhang, Jesse Cummings, Xinyu Lin, Boris Katz, James R. Glass, Andrei Barbu

NeurIPSW 2022 Image Recognition Time for Humans Predicts Adversarial Vulnerability for Models David Mayo, Jesse Cummings, Xinyu Lin, Boris Katz, Andrei Barbu

CVPR 2022 Learning Modal-Invariant and Temporal-Memory for Video-Based Visible-Infrared Person Re-Identification Xinyu Lin, Jinxing Li, Zeyu Ma, Huafeng Li, Shuang Li, Kaixiong Xu, Guangming Lu, David Zhang

NeurIPSW 2022 Workshop Version: How Hard Are Computer Vision Datasets? Calibrating Dataset Difficulty to Viewing Time David Mayo, Jesse Cummings, Xinyu Lin, Dan Gutfreund, Boris Katz, Andrei Barbu