Xiang Song
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
20
Active years
2007–2025
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | 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 |
| 2025 | CVPR | Learning Endogenous Attention for Incremental Object Detection. | Xiang Song, Yuhang He, Jingyuan Li, Qiang Wang, Yihong Gong |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models. | Jialin Chen, Houyu Zhang, Seongjun Yun, Alejandro Mottini, Rex Ying, Xiang Song, Vassilis N. Ioannidis, Zheng Li, Qingjun Cui |
| 2025 | ICLR | 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 |
| 2025 | ICLR | AutoG: Towards automatic graph construction from tabular data. | Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis |
| 2025 | ICLR | Spectro-Riemannian Graph Neural Networks. | Karish Grover, Haiyang Yu, Xiang Song, Qi Zhu, Han Xie, Vassilis N. Ioannidis, Christos Faloutsos |
| 2025 | PPoPP | Adaptive Parallel Training for Graph Neural Networks. | Kaihao Ma, Renjie Liu, Xiao Yan, Zhenkun Cai, Xiang Song, Minjie Wang, Yichao Li, James Cheng |
| 2024 | AAAI | Non-exemplar Domain Incremental Object Detection via Learning Domain Bias. | Xiang Song, Yuhang He, Songlin Dong, Yihong Gong |
| 2024 | AAAI | Evolving Parameterized Prompt Memory for Continual Learning. | Muhammad Rifki Kurniawan, Xiang Song, Zhiheng Ma, Yuhang He, Yihong Gong, Yang Qi, Xing Wei |
| 2024 | ASPLOS | Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures. | Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-Mei Hwu |
| 2024 | ICLR | 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 |
| 2024 | KDD | GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. | Da Zheng, Xiang Song, Qi Zhu, Jian Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis |
| 2024 | SIGIR | TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. | Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos |
| 2024 | WACV | Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning. | Xiang Song, Kuang Shu, Songlin Dong, Jie Cheng, Xing Wei, Yihong Gong |
| 2024 | WSDM | Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices. | Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra |
| 2023 | ICML | On the Initialization of Graph Neural Networks. | Jiahang Li, Yakun Song, Xiang Song, David Wipf |
| 2023 | KDD | IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research. | Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, Wen-Mei Hwu |
| 2023 | KDD | Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. | Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi |
| 2023 | KDD | GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes. | Jian Zhang, Da Zheng, Xiang Song, Theodore Vasiloudis, Israt Nisa, Jim Lu |
| 2023 | PPoPP | DSP: Efficient GNN Training with Multiple GPUs. | Zhenkun Cai, Qihui Zhou, Xiao Yan, Da Zheng, Xiang Song, Chenguang Zheng, James Cheng, George Karypis |
| 2023 | WWW | PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. | Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun |
| 2023 | SC | DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. | Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna |
| 2022 | KDD | Graph Neural Network Training and Data Tiering. | Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-Mei Hwu |
| 2022 | KDD | Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs. | Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, George Karypis |
| 2021 | WSDM | Scalable Graph Neural Networks with Deep Graph Library. | Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis |
| 2020 | SIGIR | DGL-KE: Training Knowledge Graph Embeddings at Scale. | Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis |
| 2020 | SC | DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. | Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis |
| 2018 | FPGA | A FPGA Friendly Approximate Computing Framework with Hybrid Neural Networks: (Abstract Only). | Haiyue Song, Xiang Song, Tianjian Li, Hao Dong, Naifeng Jing, Xiaoyao Liang, Li Jiang |
| 2013 | VEE | Parallelizing live migration of virtual machines. | Xiang Song, Jicheng Shi, Ran Liu, Jian Yang, Haibo Chen |
| 2012 | USENIX | Revisiting Software Zero-Copy for Web-caching Applications with Twin Memory Allocation. | Xiang Song, Jicheng Shi, Haibo Chen, Binyu Zang |
| 2011 | DSN | Limiting cache-based side-channel in multi-tenant cloud using dynamic page coloring. | Jicheng Shi, Xiang Song, Haibo Chen, Binyu Zang |
| 2011 | EuroSys | A case for scaling applications to many-core with OS clustering. | Xiang Song, Haibo Chen, Rong Chen, Yuanxuan Wang, Binyu Zang |
| 2010 | DSN | Why software hangs and what can be done with it. | Xiang Song, Haibo Chen, Binyu Zang |
| 2008 | Mobisys | Chameleon: a capability adaptation system for interface virtualization. | Sang-Bum Suh, Xiang Song, Jatin Kumar, Dushmanta Mohapatra, Umakishore Ramachandran, Jung-Hyun Yoo, IlPyung Park |
| 2007 | RTCSA | MobiGo: A Middleware for Seamless Mobility. | Xiang Song, Umakishore Ramachandran |