Jundong Li

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 260

Top Venues

Arizona State University, Tempe, USA (PHD)

Education History

Arizona State University, Tempe, USA

PHD

Publications

Qiang Huang, Jing Ma, Jundong Li, Ruocheng Guo, Huiyan Sun, Yi Chang
Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Zihan Chen, Jundong Li, Cong Shen
Personalized Federated Learning with Attention-Based Client Selection. ICASSP (2024)
Xuansheng Wu, Haiyan Zhao, Yaochen Zhu, Yucheng Shi, Fan Yang, Tianming Liu, Xiaoming Zhai, Wenlin Yao, Jundong Li, Mengnan Du, Ninghao Liu
Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era. CoRR (2024)
Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
Knowledge Graph-Enhanced Large Language Models via Path Selection. CoRR (2024)
Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
Causal Inference with Latent Variables: Recent Advances and Future Prospectives. CoRR (2024)
Jundong Li, Jing Guo, Xiaoxia Zhao
Retraction Note: Imaging features and clinical manifestations of neuromyelitis optica. Pers. Ubiquitous Comput. 28 (1) (2024)
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) (2024)
Haochen Liu, Song Wang, Chen Chen, Jundong Li
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. CoRR (2024)
Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
Collaborative Large Language Model for Recommender Systems. WWW (2024)
Mucong Ding, Yinhan He, Jundong Li, Furong Huang
Spectral Greedy Coresets for Graph Neural Networks. CoRR (2024)
Ling Jian, Kai Shao, Ying Liu, Jundong Li, Xijun Liang
OEC: an online ensemble classifier for mining data streams with noisy labels. Data Min. Knowl. Discov. 38 (3) (2024)
Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. CoRR (2024)
Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. CoRR (2024)
Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li
SD-Attack: Targeted Spectral Attacks on Graphs. PAKDD (2) (2024)
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 (2024)
Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu
Robust Graph Meta-Learning for Weakly Supervised Few-Shot Node Classification. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu
Interpreting Pretrained Language Models via Concept Bottlenecks. PAKDD (3) (2024)
Haochen Liu, Song Wang, Chen Chen, Jundong Li
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. NAACL-HLT (2024)
Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu
Collaborative Graph Neural Networks for Attributed Network Embedding. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
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 (2024)
Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li
GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations. CoRR (2024)
Zihan Chen, Song Wang, Cong Shen, Jundong Li
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. CoRR (2024)
Zihan Chen, Song Wang, Cong Shen, Jundong Li
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. ACL (Findings) (2024)
Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li
Federated Graph Learning with Structure Proxy Alignment. KDD (2024)
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 (2024)
Alexi Gladstone, Ganesh Nanduru, Md Mofijul Islam, Aman Chadha, Jundong Li, Tariq Iqbal
Cognitively Inspired Energy-Based World Models. CoRR (2024)
Chen Zhao, Feng Chen, Xintao Wu, Jundong Li, Haifeng Chen
3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD (2024)
Song Wang, Chris Tennant, Daniel Moser, Theo Larrieu, Jundong Li
Graph learning for particle accelerator operations. Frontiers Big Data 7 (2024)
Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. KDD (2024)
Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
Causal Inference with Latent Variables: Recent Advances and Future Prospectives. KDD (2024)
Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
Adversarial Attacks on Fairness of Graph Neural Networks. ICLR (2024)
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)
Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li
A Benchmark for Fairness-Aware Graph Learning. CoRR (2024)
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
Self-Supervised Learning for Recommender Systems: A Survey. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Chuxu Zhang, Dongkuan Xu, Kaize Ding, Jundong Li, Mojan Javaheripi, Subhabrata Mukherjee, Nitesh V. Chawla, Huan Liu
RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD (2024)
Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
Knowledge Graph-Enhanced Large Language Models via Path Selection. ACL (Findings) (2024)
Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng
Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective. KDD (2023)
Han Yue, Jundong Li, Hongfu Liu
Second-Order Unsupervised Feature Selection via Knowledge Contrastive Distillation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Song Wang, Zhen Tan, Huan Liu, Jundong Li
Contrastive Meta-Learning for Few-shot Node Classification. KDD (2023)
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
Learning Causal Effects on Hypergraphs (Extended Abstract). IJCAI (2023)
Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. CoRR (2023)
Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li
ELEGANT: Certified Defense on the Fairness of Graph Neural Networks. CoRR (2023)
Yaochen Zhu, Jing Ma, Jundong Li
Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization. CoRR (2023)
Song Wang, Jundong Li
Generative Few-shot Graph Classification: An Adaptive Perspective. ACSSC (2023)
Jundong Li, Jing Guo, Xiaoxia Zhao
Imaging features and clinical manifestations of neuromyelitis optica. Pers. Ubiquitous Comput. 27 (3) (2023)
Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
Learning for Counterfactual Fairness from Observational Data. CoRR (2023)
Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. EMNLP (Findings) (2023)
Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CoRR (2023)
Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li
Fairness in Graph Mining: A Survey. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Jing Luo, Jundong Li, Qi Mao, Zhenghao Shi, Haiqin Liu, Xiaoyong Ren, Xinhong Hei
Overlapping filter bank convolutional neural network for multisubject multicategory motor imagery brain-computer interface. BioData Min. 16 (1) (2023)
Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li, Huan Liu
Interpreting Pretrained Language Models via Concept Bottlenecks. CoRR (2023)
Song Wang, Jing Ma, Lu Cheng, Jundong Li
Fair Few-shot Learning with Auxiliary Sets. CoRR (2023)
Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li
Knowledge Editing for Large Language Models: A Survey. CoRR (2023)
Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li
RELIANT: Fair Knowledge Distillation for Graph Neural Networks. SDM (2023)
Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li
Spatial-Temporal Networks for Antibiogram Pattern Prediction. CoRR (2023)
Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion. WWW (2023)
Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
Learning for Counterfactual Fairness from Observational Data. KDD (2023)
Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
Path-Specific Counterfactual Fairness for Recommender Systems. CoRR (2023)
Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract). ICDE (2023)
Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
Federated Few-shot Learning. CoRR (2023)
Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li
Few-shot Node Classification with Extremely Weak Supervision. WSDM (2023)
Yushun Dong, Oyku Deniz Kose, Yanning Shen, Jundong Li
Fairness in Graph Machine Learning: Recent Advances and Future Prospectives. KDD (2023)
Song Wang, Jing Ma, Lu Cheng, Jundong Li
Fair Few-Shot Learning with Auxiliary Sets. ECAI (2023)
Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li
Few-shot Node Classification with Extremely Weak Supervision. CoRR (2023)
Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
Mind the Gap: Mitigating the Distribution Gap in Graph Few-shot Learning. Trans. Mach. Learn. Res. 2023 (2023)
Zhen Peng, Minnan Luo, Wenbing Huang, Jundong Li, Qinghua Zheng, Fuchun Sun, Junzhou Huang
Learning Representations by Graphical Mutual Information Estimation and Maximization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
Adversarial Attacks on Fairness of Graph Neural Networks. CoRR (2023)
Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou
Marginal Nodes Matter: Towards Structure Fairness in Graphs. SIGKDD Explor. 25 (2) (2023)
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
Causal Effect Estimation under Interference on Hypergraphs. AI Matters 9 (2) (2023)
Zihan Chen, Jundong Li, Cong Shen
Personalized Federated Learning with Attention-based Client Selection. CoRR (2023)
Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu
Collaborative Graph Neural Networks for Attributed Network Embedding. CoRR (2023)
Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li
RELIANT: Fair Knowledge Distillation for Graph Neural Networks. CoRR (2023)
Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li
Spatial-Temporal Networks for Antibiogram Pattern Prediction. ICHI (2023)
Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CIKM (2023)
Mouxiang Chen, Zemin Liu, Chenghao Liu, Jundong Li, Qiheng Mao, Jianling Sun
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt. CoRR (2023)
Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
Path-Specific Counterfactual Fairness for Recommender Systems. KDD (2023)
Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou
Marginal Nodes Matter: Towards Structure Fairness in Graphs. CoRR (2023)
Song Wang, Zhen Tan, Huan Liu, Jundong Li
Contrastive Meta-Learning for Few-shot Node Classification. CoRR (2023)
Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
Collaborative Large Language Model for Recommender Systems. CoRR (2023)
Yushun Dong, Jundong Li, Tobias Schnabel
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? SIGIR (2023)
Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang
RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD (2023)
Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Jundong Li, Qinghua Zheng, Minnan Luo
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency. ACL (1) (2023)
Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection. CoRR (2023)
Yushun Dong, Jundong Li, Tobias Schnabel
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? CoRR (2023)
Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. AAAI (2023)
Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection. KDD (2023)
Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
Federated Few-shot Learning. KDD (2023)
Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion. CoRR (2022)
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
Geometric Graph Representation Learning via Maximizing Rate Reduction. CoRR (2022)
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
Learning Causal Effects on Hypergraphs. CoRR (2022)
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
Learning Causal Effects on Hypergraphs. KDD (2022)
Nan Wang, Lu Lin, Jundong Li, Hongning Wang
Unbiased Graph Embedding with Biased Graph Observations. WWW (2022)
Song Wang, Chen Chen, Jundong Li
Graph Few-shot Learning with Task-specific Structures. NeurIPS (2022)
Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li
Task-Adaptive Few-shot Node Classification. CoRR (2022)
Song Wang, Chen Chen, Jundong Li
Graph Few-shot Learning with Task-specific Structures. CoRR (2022)
Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li
Task-Adaptive Few-shot Node Classification. KDD (2022)
Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li
Empowering Next POI Recommendation with Multi-Relational Modeling. CoRR (2022)
Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. CoRR (2022)
Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US. WWW (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jundong Li