Song, Xiang

12 publications

ICLR 2025 AutoG: Towards Automatic Graph Construction from Tabular Data Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis

CVPR 2025 Boosting Domain Incremental Learning: Selecting the Optimal Parameters Is All You Need Qiang Wang, Xiang Song, Yuhang He, Jizhou Han, Chenhao Ding, Xinyuan Gao, Yihong Gong

AAAI 2025 DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype Qiang Wang, Yuhang He, Songlin Dong, Xiang Song, Jizhou Han, Haoyu Luo, Yihong Gong

CVPR 2025 Learning Endogenous Attention for Incremental Object Detection Xiang Song, Yuhang He, Jingyuan Li, Qiang Wang, Yihong Gong

ICLR 2025 Spectro-Riemannian Graph Neural Networks Karish Grover, Haiyang Yu, Xiang Song, Qi Zhu, Han Xie, Vassilis N. Ioannidis, Christos Faloutsos

ICLR 2025 Towards Synergistic Path-Based Explanations for Knowledge Graph Completion: Exploration and Evaluation Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Yijun Wang, Bosheng Song, Xiangxiang Zeng

AAAI 2024 Evolving Parameterized Prompt Memory for Continual Learning Muhammad Rifki Kurniawan, Xiang Song, Zhiheng Ma, Yuhang He, Yihong Gong, Yang Qi, Xing Wei

ICLR 2024 NetInfoF Framework: Measuring and Exploiting Network Usable Information Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos

AAAI 2024 Non-Exemplar Domain Incremental Object Detection via Learning Domain Bias Xiang Song, Yuhang He, Songlin Dong, Yihong Gong

WACV 2024 Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning Xiang Song, Kuang Shu, Songlin Dong, Jie Cheng, Xing Wei, Yihong Gong

NeurIPS 2024 Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models Cong Wan, Yuhang He, Xiang Song, Yihong Gong

ICML 2023 On the Initialization of Graph Neural Networks Jiahang Li, Yakun Song, Xiang Song, David Wipf