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Song Wang 0013
Person information
- unicode name: 王淞
- affiliation: University of Virginia, Charlottesville, VA, USA
Other persons with the same name
- Song Wang — disambiguation page
- Song Wang 0001 — Hewlett-Packard Laboratories, Palo Alto, CA, USA (and 1 more)
- Song Wang 0002
— University of South Carolina, Department of Computer Science and Engineering, Columbia, SC, USA (and 1 more)
- Song Wang 0003
— La Trobe University, School of Engineering and Mathematical Sciences, VIC, Australia (and 1 more)
- Song Wang 0004
— Curtin University, Department of Mathematics and Statistics, Perth, Australia (and 2 more)
- Song Wang 0005
— McGill University, Schulich School of Music, Montreal, QC, Canada (and 1 more)
- Song Wang 0006
— Beijing University of Posts and Telecommunications, Automation College, China
- Song Wang 0007 — Fujitsu R&D Center, Beijing, China
- Song Wang 0008
— Zhengzhou University, School of Information Engineering, China
- Song Wang 0009
— York University, Toronto, ON, Canada (and 1 more)
- Song Wang 0010
— Southwest University of Science and Technology, School of Computer Science and Technology, Mianyang, China
- Song Wang 0011 — Wuhan University, School of Computer Science, National Engineering Research Center for Multimedia Software, China
- Song Wang 0012 — Microsoft Azure
- Song Wang 0014
— Xi'an Jiaotong University, Xi'an, China
- Song Wang 0015
— Heilongjiang Bayi Agricultural University, Daqing, China
- Song Wang 0016
— Hunan University, Hunan, Changsha, China
- Song Wang 0017
— China Agricultural University, Beijing, China
- Song Wang 0018
— West China Hospital of Sichuan University, Chengdu, China
- Song Wang 0019
— Zhejiang University, Hangzhou, China
- Song Wang 0020
— RMIT University, Melbourne, VIC, Australia
- Song Wang 0021
— Northwest Agriculture and Forestry University, Yangling, Shaanxi, China
- Song Wang 0022
— Chongqing Jiaotong University, Chongqing, China
- Song Wang 0023
— University of Hong Kong, Hong Kong, SAR, China
- Song Wang 0024
— Wuhan University, Wuhan, Hubei, China
- Song Wang 0025
— Shandong University of Science and Technology, Qingdao, Shandong, China
- Song Wang 0026
— Amazon.com, Seattle, WA, USA
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2020 – today
- 2026
- [j11]Kexin Zhang
, Shuhan Liu
, Song Wang
, Weili Shi
, Chen Chen
, Pan Li
, Sheng Li
, Jundong Li
, Kaize Ding
:
A Survey of Deep Graph Learning under Distribution Shifts: From Graph Out-of-Distribution Generalization to Adaptation. ACM Trans. Knowl. Discov. Data 20(2): 31:1-31:38 (2026) - [j10]Song Wang
, Yushun Dong
, Binchi Zhang
, Zihan Chen
, Xingbo Fu, Yinhan He, Cong Shen
, Chuxu Zhang, Nitesh V. Chawla
, Jundong Li
:
Safety in Graph Machine Learning: Threats and Safeguards. IEEE Trans. Knowl. Data Eng. 38(4): 2408-2428 (2026) - [j9]Song Wang, Chris Tennant, Jundong Li:
Explainable Graph Learning for Particle Accelerator Operations. Trans. Mach. Learn. Res. 2026 (2026) - [c45]Zhen Tan
, Song Wang
, Tianlong Chen
, Jing Ma
, Jundong Li
, Huan Liu
:
Explaining the 'Unexplainable' Large Language Models. WSDM 2026: 1371-1373 - [i58]Zhenyu Lei, Aiying Zhang, Song Wang, Han Fan, Jundong Li:
BrainTAP: Brain Disorder Prediction with Adaptive Distill and Selective Prior Integration. CoRR abs/2602.09294 (2026) - [i57]Junhong Lin, Bing Zhang, Song Wang, Ziyan Liu, Dan Gutfreund, Julian Shun, Yada Zhu:
How Much Reasoning Do Retrieval-Augmented Models Add beyond LLMs? A Benchmarking Framework for Multi-Hop Inference over Hybrid Knowledge. CoRR abs/2602.10210 (2026) - [i56]Shuang Zhou, Kai Yu, Song Wang, Wenya Xie, Zaifu Zhan, Meng-Han Tsai, Yuen-Hei Chung, Shutong Hou, Huixue Zhou, Min Zeng, Bhavadharini Ramu, Lin Yee Chen, Feng Xie, Rui Zhang:
HeartAgent: An Autonomous Agent System for Explainable Differential Diagnosis in Cardiology. CoRR abs/2603.10764 (2026) - [i55]Zhen Tan, Chengshuai Zhao, Song Wang, Jundong Li, Tianlong Chen, Huan Liu:
Probing to Refine: Reinforcement Distillation of LLMs via Explanatory Inversion. CoRR abs/2603.19266 (2026) - 2025
- [j8]Song Wang
, Yaochen Zhu
, Haochen Liu
, Zaiyi Zheng
, Chen Chen
, Jundong Li
:
Knowledge Editing for Large Language Models: A Survey. ACM Comput. Surv. 57(3): 59:1-59:37 (2025) - [j7]Yuxi Liu
, Zhen Tan, Zhenhao Zhang
, Song Wang
, Jingchuan Guo, Huan Liu, Tianlong Chen, Jiang Bian
:
A natural language processing-based approach for early detection of heart failure onset using electronic health records. Knowl. Based Syst. 327: 114102 (2025) - [j6]Shuang Zhou, Jiashuo Wang
, Zidu Xu, Song Wang, David Brauer, Lindsay Welton, Jacob Cogan, Yuen-Hei Chung, Lei Tian, Zaifu Zhan, Yu Hou, Mingquan Lin, Genevieve B. Melton, Rui Zhang:
Uncertainty-aware large language models for explainable disease diagnosis. npj Digit. Medicine 8(1) (2025) - [j5]Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li:
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs. Trans. Mach. Learn. Res. 2025 (2025) - [c44]Yiming Xu
, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen:
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective. AAAI 2025: 12972-12980 - [c43]Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li:
BrainMAP: Learning Multiple Activation Pathways in Brain Networks. AAAI 2025: 14432-14440 - [c42]Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li:
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. AAAI 2025: 16657-16665 - [c41]Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu:
Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach. AAAI 2025: 25237-25245 - [c40]Haochen Liu, Song Wang, Chen Chen, Jundong Li:
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models. ACL (Findings) 2025: 1388-1400 - [c39]Song Wang
, Zhen Tan
, Xinyu Zhao
, Tianlong Chen
, Huan Liu
, Jundong Li
:
GraphRCG: Self-Conditioned Graph Generation. CIKM 2025: 3060-3070 - [c38]Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong:
Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning. ECAI 2025: 2706-2713 - [c37]Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li:
Learning from Diverse Reasoning Paths with Routing and Collaboration. EMNLP 2025: 2832-2845 - [c36]Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhenyu Lei, Cong Shen, Jun-Dong Li:
From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning. EMNLP (Findings) 2025: 3395-3410 - [c35]Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li:
AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. EMNLP 2025: 11555-11567 - [c34]Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li:
Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation. EMNLP 2025: 11615-11631 - [c33]Zaiyi Zheng, Song Wang, Zihan Chen, Yaochen Zhu, Yinhan He, Liangjie Hong, Qi Guo, Jundong Li:
CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture. EMNLP (Findings) 2025: 16088-16101 - [c32]Song Wang, Jundong Li:
Dynamic, Efficient, and Generalizable Multi-Agent Communication for Large Language Models. ICDM (Workshops) 2025: 2488-2491 - [c31]Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li:
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective. ICLR 2025 - [c30]Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu:
Reasoning of Large Language Models over Knowledge Graphs with Super-Relations. ICLR 2025 - [c29]Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li:
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. ICLR 2025 - [c28]Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen:
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning. ICML 2025 - [c27]Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu:
Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract). IJCAI 2025: 10942-10946 - [c26]Yushun Dong, Song Wang
, Zhenyu Lei
, Zaiyi Zheng
, Jing Ma
, Chen Chen, Jundong Li:
Fairness-Aware Graph Learning: A Benchmark. KDD (2) 2025: 5402-5412 - [c25]Yinhan He
, Chen Chen
, Song Wang
, Guanghui Min
, Jundong Li
:
Demystify Epidemic Containment in Directed Networks: Theory and Algorithms. WSDM 2025: 905-913 - [i54]Zaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, Jundong Li:
KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models. CoRR abs/2501.02711 (2025) - [i53]Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Mingliang Xu, Jundong Li, Yiwei Cai:
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. CoRR abs/2501.04102 (2025) - [i52]Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li:
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs. CoRR abs/2502.07968 (2025) - [i51]Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu:
Reasoning of Large Language Models over Knowledge Graphs with Super-Relations. CoRR abs/2503.22166 (2025) - [i50]Haochen Liu, Song Wang, Chen Chen, Jundong Li:
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models. CoRR abs/2503.23523 (2025) - [i49]Zihan Chen, Song Wang, Zhen Tan, Xingbo Fu, Zhen Lei, Peng Wang, Huan Liu, Cong Shen, Jundong Li:
A Survey of Scaling in Large Language Model Reasoning. CoRR abs/2504.02181 (2025) - [i48]Zhen Tan, Song Wang, Yifan Li, Yu Kong, Jundong Li, Tianlong Chen, Huan Liu:
Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations. CoRR abs/2504.08919 (2025) - [i47]Huaizhi Qu, Inyoung Choi, Zhen Tan, Song Wang, Sukwon Yun, Qi Long, Faizan Siddiqui, Kwonjoon Lee, Tian-Long Chen:
Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer. CoRR abs/2504.12589 (2025) - [i46]Shuang Zhou, Jiashuo Wang, Zidu Xu, Song Wang, David Brauer
, Lindsay Welton, Jacob Cogan, Yuen-Hei Chung, Lei Tian, Zaifu Zhan, Yu Hou, Mingquan Lin, Genevieve B. Melton, Rui Zhang:
Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis. CoRR abs/2505.03467 (2025) - [i45]Junhong Lin, Xinyue Zeng, Jie Zhu, Song Wang, Julian Shun, Jun Wu, Dawei Zhou:
Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning. CoRR abs/2505.16122 (2025) - [i44]Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen:
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning. CoRR abs/2505.16225 (2025) - [i43]Ruichen Zhang, Rana Muhammad Shahroz Khan, Zhen Tan, Dawei Li, Song Wang, Tianlong Chen:
The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation. CoRR abs/2505.18759 (2025) - [i42]Song Wang
, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li:
AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. CoRR abs/2506.17784 (2025) - [i41]Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen:
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective. CoRR abs/2507.14677 (2025) - [i40]Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong:
Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning. CoRR abs/2508.00513 (2025) - [i39]Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li:
Learning from Diverse Reasoning Paths with Routing and Collaboration. CoRR abs/2508.16861 (2025) - [i38]Junhong Lin, Song Wang, Xiaojie Guo, Julian Shun, Yada Zhu:
Temporal Reasoning with Large Language Models Augmented by Evolving Knowledge Graphs. CoRR abs/2509.15464 (2025) - [i37]Song Wang, Zhenyu Lei, Zhen Tan, Jundong Li, Javier Rasero, Aiying Zhang, Chirag Agarwal:
Interpretable Neuropsychiatric Diagnosis via Concept-Guided Graph Neural Networks. CoRR abs/2510.03351 (2025) - [i36]Xu Shen, Song Wang, Zhen Tan, Laura Yao, Xinyu Zhao, Kaidi Xu, Xin Wang, Tianlong Chen:
FaithCoT-Bench: Benchmarking Instance-Level Faithfulness of Chain-of-Thought Reasoning. CoRR abs/2510.04040 (2025) - [i35]Tianyu Hu, Zhen Tan, Song Wang
, Huaizhi Qu, Tianlong Chen:
Multi-Agent Debate for LLM Judges with Adaptive Stability Detection. CoRR abs/2510.12697 (2025) - [i34]Xu Shen, Qi Zhang, Song Wang, Zhen Tan, Xinyu Zhao, Laura Yao, Vaishnav Tadiparthi, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Kwonjoon Lee, Tianlong Chen:
Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction. CoRR abs/2510.14319 (2025) - [i33]Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhen Lei, Cong Shen, Jundong Li:
From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning. CoRR abs/2510.24528 (2025) - [i32]Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li:
Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation. CoRR abs/2511.04700 (2025) - [i31]Zhen Xu, Zhen Tan, Song Wang, Kaidi Xu, Tianlong Chen:
Beyond Redundancy: Diverse and Specialized Multi-Expert Sparse Autoencoder. CoRR abs/2511.05745 (2025) - [i30]Dawei Li, Zijian Gu, Peng Wang, Chuhan Song, Zhen Tan, Mohan Zhang, Tianlong Chen, Yu Tian, Song Wang:
Fairness in Multi-modal Medical Diagnosis with Demonstration Selection. CoRR abs/2511.15986 (2025) - 2024
- [j4]Song Wang, Chris Tennant, Daniel Moser, Theo Larrieu, Jundong Li:
Graph learning for particle accelerator operations. Frontiers Big Data 7 (2024) - [j3]Song Wang
, Yushun Dong
, Xiao Huang
, Chen Chen
, Jundong Li
:
Learning Hierarchical Task Structures for Few-shot Graph Classification. ACM Trans. Knowl. Discov. Data 18(3): 67:1-67:20 (2024) - [j2]Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li:
Federated Graph Learning with Graphless Clients. Trans. Mach. Learn. Res. 2024 (2024) - [c24]Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li:
Knowledge Graph-Enhanced Large Language Models via Path Selection. ACL (Findings) 2024: 6311-6321 - [c23]Zihan Chen, Song Wang, Cong Shen, Jundong Li:
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. ACL (Findings) 2024: 9764-9780 - [c22]Zaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, Jundong Li:
KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models. IEEE Big Data 2024: 805-810 - [c21]Yaochen Zhu
, Liang Wu
, Binchi Zhang
, Song Wang
, Qi Guo
, Liangjie Hong
, Luke Simon
, Jundong Li
:
Understanding and Modeling Job Marketplace with Pretrained Language Models. CIKM 2024: 5143-5150 - [c20]Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu:
Large Language Models for Data Annotation and Synthesis: A Survey. EMNLP 2024: 930-957 - [c19]Zhen Tan, Chengshuai Zhao, Raha Moraffah
, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu:
Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. EMNLP 2024: 1610-1626 - [c18]Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Minghua Xu, Jundong Li, Yiwei Cai:
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. ICDM 2024: 875-880 - [c17]Haochen Liu, Song Wang, Chen Chen, Jundong Li:
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. NAACL-HLT 2024: 3346-3356 - [c16]Song Wang, Zihan Chen, Chengshuai Shi, Cong Shen, Jundong Li:
Mixture of Demonstrations for In-Context Learning. NeurIPS 2024 - [c15]Zhen Tan
, Lu Cheng
, Song Wang
, Bo Yuan
, Jundong Li
, Huan Liu
:
Interpreting Pretrained Language Models via Concept Bottlenecks. PAKDD (3) 2024: 56-74 - [c14]Yushun Dong
, Zhenyu Lei
, Zaiyi Zheng
, Song Wang
, Jing Ma
, Alex Jing Huang
, Chen Chen
, Jundong Li
:
PyGDebias: A Python Library for Debiasing in Graph Learning. WWW (Companion Volume) 2024: 1019-1022 - [i29]Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu:
Large Language Models for Data Annotation: A Survey. CoRR abs/2402.13446 (2024) - [i28]Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li:
GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations. CoRR abs/2403.01071 (2024) - [i27]Song Wang, Yushun Dong, Binchi Zhang
, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla
, Jundong Li:
Safety in Graph Machine Learning: Threats and Safeguards. CoRR abs/2405.11034 (2024) - [i26]Zihan Chen, Song Wang, Cong Shen, Jundong Li:
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. CoRR abs/2406.03730 (2024) - [i25]Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li:
Knowledge Graph-Enhanced Large Language Models via Path Selection. CoRR abs/2406.13862 (2024) - [i24]Haochen Liu, Song Wang, Chen Chen, Jundong Li:
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. CoRR abs/2406.15507 (2024) - [i23]Zhen Tan, Chengshuai Zhao, Raha Moraffah
, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu:
"Glue pizza and eat rocks" - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. CoRR abs/2406.19417 (2024) - [i22]Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li:
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. CoRR abs/2407.02408 (2024) - [i21]Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li:
A Benchmark for Fairness-Aware Graph Learning. CoRR abs/2407.12112 (2024) - [i20]Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li:
Understanding and Modeling Job Marketplace with Pretrained Language Models. CoRR abs/2408.04381 (2024) - [i19]Kexin Zhang, Shuhan Liu, Song Wang, Weili Shi, Chen Chen, Pan Li, Sheng Li, Jundong Li, Kaize Ding:
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation. CoRR abs/2410.19265 (2024) - [i18]Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li:
Federated Graph Learning with Graphless Clients. CoRR abs/2411.08374 (2024) - [i17]Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li:
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective. CoRR abs/2412.07188 (2024) - [i16]Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li:
BrainMAP: Learning Multiple Activation Pathways in Brain Networks. CoRR abs/2412.17404 (2024) - [i15]Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li:
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. CoRR abs/2412.19229 (2024) - 2023
- [j1]Yushun Dong
, Jing Ma
, Song Wang
, Chen Chen
, Jundong Li
:
Fairness in Graph Mining: A Survey. IEEE Trans. Knowl. Data Eng. 35(10): 10583-10602 (2023) - [c13]Yushun Dong, Song Wang, Jing Ma
, Ninghao Liu, Jundong Li:
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. AAAI 2023: 7441-7449 - [c12]Song Wang, Jundong Li:
Generative Few-shot Graph Classification: An Adaptive Perspective. ACSSC 2023: 317-321 - [c11]Song Wang
, Jing Ma
, Lu Cheng
, Jundong Li
:
Fair Few-Shot Learning with Auxiliary Sets. ECAI 2023: 2517-2524 - [c10]Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li:
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. EMNLP (Findings) 2023: 12528-12540 - [c9]Song Wang
, Xingbo Fu
, Kaize Ding
, Chen Chen
, Huiyuan Chen
, Jundong Li
:
Federated Few-shot Learning. KDD 2023: 2374-2385 - [c8]Song Wang
, Zhen Tan
, Huan Liu
, Jundong Li
:
Contrastive Meta-Learning for Few-shot Node Classification. KDD 2023: 2386-2397 - [c7]Song Wang
, Yushun Dong
, Kaize Ding
, Chen Chen
, Jundong Li
:
Few-shot Node Classification with Extremely Weak Supervision. WSDM 2023: 276-284 - [i14]Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li:
Few-shot Node Classification with Extremely Weak Supervision. CoRR abs/2301.02708 (2023) - [i13]Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li:
Federated Few-shot Learning. CoRR abs/2306.10234 (2023) - [i12]Song Wang, Zhen Tan, Huan Liu, Jundong Li:
Contrastive Meta-Learning for Few-shot Node Classification. CoRR abs/2306.15154 (2023) - [i11]Song Wang, Jing Ma, Lu Cheng, Jundong Li:
Fair Few-shot Learning with Auxiliary Sets. CoRR abs/2308.14338 (2023) - [i10]Gregory Holste, Yiliang Zhou, Song Wang
, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng:
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR abs/2310.16112 (2023) - [i9]Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li:
Knowledge Editing for Large Language Models: A Survey. CoRR abs/2310.16218 (2023) - [i8]Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li:
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. CoRR abs/2311.01108 (2023) - [i7]Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li, Huan Liu:
Interpreting Pretrained Language Models via Concept Bottlenecks. CoRR abs/2311.05014 (2023) - 2022
- [c6]Song Wang, Yushun Dong, Xiao Huang, Chen Chen
, Jundong Li:
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. IJCAI 2022: 2284-2290 - [c5]Yushun Dong, Song Wang, Yu Wang, Tyler Derr
, Jundong Li:
On Structural Explanation of Bias in Graph Neural Networks. KDD 2022: 316-326 - [c4]Song Wang, Kaize Ding
, Chuxu Zhang, Chen Chen
, Jundong Li:
Task-Adaptive Few-shot Node Classification. KDD 2022: 1910-1919 - [c3]Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu:
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. LoG 2022: 4 - [c2]Song Wang, Chen Chen, Jundong Li:
Graph Few-shot Learning with Task-specific Structures. NeurIPS 2022 - [i6]Song Wang, Yushun Dong, Xiao Huang
, Chen Chen, Jundong Li:
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. CoRR abs/2205.02435 (2022) - [i5]Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li:
Task-Adaptive Few-shot Node Classification. CoRR abs/2206.11972 (2022) - [i4]Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li:
On Structural Explanation of Bias in Graph Neural Networks. CoRR abs/2206.12104 (2022) - [i3]Song Wang, Chen Chen, Jundong Li:
Graph Few-shot Learning with Task-specific Structures. CoRR abs/2210.12130 (2022) - [i2]Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li:
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. CoRR abs/2211.14383 (2022) - [i1]Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu:
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. CoRR abs/2212.05606 (2022) - 2021
- [c1]Song Wang, Xiao Huang
, Chen Chen
, Liang Wu, Jundong Li:
REFORM: Error-Aware Few-Shot Knowledge Graph Completion. CIKM 2021: 1979-1988
Coauthor Index
aka: Jun-Dong Li
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