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ORCIDJundong Li
Jun-Dong Li
Person information
- affiliation: University of Virginia, Department of Electrical and Computer Engineering, Charlottesville, VA, USA
- affiliation (PhD 2019): Arizona State University, Tempe, AZ, USA
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2020 – today
- 2024
[j41]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): 1101-1124 (2024)- [j40]Song Wang, Chris Tennant, Daniel Moser, Theo Larrieu, Jundong Li:
Graph learning for particle accelerator operations. Frontiers Big Data 7 (2024) - [j39]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): 48:1-48:21 (2024) - [j38]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) - [j37]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): 83:1-83:18 (2024) - [j36]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): 335-355 (2024) - [j35]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): 972-986 (2024) - [c131]Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li:
Knowledge Graph-Enhanced Large Language Models via Path Selection. ACL (Findings) 2024: 6311-6321 - [c130]Zihan Chen, Song Wang, Cong Shen, Jundong Li:
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. ACL (Findings) 2024: 9764-9780 - [c129]Zihan Chen, Jundong Li, Cong Shen:
Personalized Federated Learning with Attention-Based Client Selection. ICASSP 2024: 6930-6934 - [c128]Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li:
Adversarial Attacks on Fairness of Graph Neural Networks. ICLR 2024 - [c127]Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li:
Verification of Machine Unlearning is Fragile. ICML 2024 - [c126]Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li:
Towards Certified Unlearning for Deep Neural Networks. ICML 2024 - [c125]Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li:
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. KDD 2024: 621-630 - [c124]Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li:
Federated Graph Learning with Structure Proxy Alignment. KDD 2024: 827-838 - [c123]Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li:
Causal Inference with Latent Variables: Recent Advances and Future Prospectives. KDD 2024: 6677-6687 - [c122]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: 6749-6750 - [c121]Chen Zhao, Feng Chen, Xintao Wu, Jundong Li, Haifeng Chen:
3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD 2024: 6751-6752 - [c120]Haochen Liu, Song Wang, Chen Chen, Jundong Li:
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. NAACL-HLT 2024: 3346-3356 - [c119]Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu:
Interpreting Pretrained Language Models via Concept Bottlenecks. PAKDD (3) 2024: 56-74 - [c118]Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li:
SD-Attack: Targeted Spectral Attacks on Graphs. PAKDD (2) 2024: 352-363 - [c117]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 - [c116]Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li:
Collaborative Large Language Model for Recommender Systems. WWW 2024: 3162-3172 - [i94]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) - [i93]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) - [i92]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 abs/2403.08946 (2024) - [i91]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) - [i90]Mucong Ding, Yinhan He, Jundong Li, Furong Huang:
Spectral Greedy Coresets for Graph Neural Networks. CoRR abs/2405.17404 (2024) - [i89]Zihan Chen, Song Wang, Cong Shen, Jundong Li:
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. CoRR abs/2406.03730 (2024) - [i88]Alexi Gladstone, Ganesh Nanduru, Md Mofijul Islam, Aman Chadha, Jundong Li, Tariq Iqbal:
Cognitively Inspired Energy-Based World Models. CoRR abs/2406.08862 (2024) - [i87]Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li:
Knowledge Graph-Enhanced Large Language Models via Path Selection. CoRR abs/2406.13862 (2024) - [i86]Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li:
Causal Inference with Latent Variables: Recent Advances and Future Prospectives. CoRR abs/2406.13966 (2024) - [i85]Haochen Liu, Song Wang, Chen Chen, Jundong Li:
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. CoRR abs/2406.15507 (2024) - [i84]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) - [i83]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) - [i82]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) - [i81]Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li:
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. CoRR abs/2407.19398 (2024) - [i80]Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li:
Towards Certified Unlearning for Deep Neural Networks. CoRR abs/2408.00920 (2024) - [i79]Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li:
Verification of Machine Unlearning is Fragile. CoRR abs/2408.00929 (2024) - [i78]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) - 2023
- [j34]Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan:
Causal Effect Estimation under Interference on Hypergraphs. AI Matters 9(2): 15-19 (2023) - [j33]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) - [j32]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): 722-737 (2023) - [j31]Han Yue, Jundong Li, Hongfu Liu:
Second-Order Unsupervised Feature Selection via Knowledge Contrastive Distillation. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15577-15587 (2023) - [j30]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): 4-13 (2023) - [j29]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) - [j28]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) - [c115]Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li:
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. AAAI 2023: 7441-7449 - [c114]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: 10326-10340 - [c113]Song Wang, Jundong Li:
Generative Few-shot Graph Classification: An Adaptive Perspective. ACSSC 2023: 317-321 - [c112]Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu:
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CIKM 2023: 2259-2269 - [c111]Song Wang, Jing Ma, Lu Cheng, Jundong Li:
Fair Few-Shot Learning with Auxiliary Sets. ECAI 2023: 2517-2524 - [c110]Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li:
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. EMNLP (Findings) 2023: 12528-12540 - [c109]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: 3799-3800 - [c108]Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li:
Spatial-Temporal Networks for Antibiogram Pattern Prediction. ICHI 2023: 225-234 - [c107]Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan:
Learning Causal Effects on Hypergraphs (Extended Abstract). IJCAI 2023: 6463-6467 - [c106]Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li:
Learning for Counterfactual Fairness from Observational Data. KDD 2023: 1620-1630 - [c105]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: 2349-2360 - [c104]Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li:
Federated Few-shot Learning. KDD 2023: 2374-2385 - [c103]Song Wang, Zhen Tan, Huan Liu, Jundong Li:
Contrastive Meta-Learning for Few-shot Node Classification. KDD 2023: 2386-2397 - [c102]Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li:
Path-Specific Counterfactual Fairness for Recommender Systems. KDD 2023: 3638-3649 - [c101]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: 4584-4594 - [c100]Yushun Dong, Oyku Deniz Kose, Yanning Shen, Jundong Li:
Fairness in Graph Machine Learning: Recent Advances and Future Prospectives. KDD 2023: 5794-5795 - [c99]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: 5901-5902 - [c98]Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li:
RELIANT: Fair Knowledge Distillation for Graph Neural Networks. SDM 2023: 154-162 - [c97]Yushun Dong, Jundong Li, Tobias Schnabel:
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? SIGIR 2023: 942-952 - [c96]Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li:
Few-shot Node Classification with Extremely Weak Supervision. WSDM 2023: 276-284 - [c95]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: 2548-2559 - [i77]Yaochen Zhu, Jing Ma, Jundong Li:
Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization. CoRR abs/2301.00910 (2023) - [i76]Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li:
RELIANT: Fair Knowledge Distillation for Graph Neural Networks. CoRR abs/2301.01150 (2023) - [i75]Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li:
Few-shot Node Classification with Extremely Weak Supervision. CoRR abs/2301.02708 (2023) - [i74]Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li:
Spatial-Temporal Networks for Antibiogram Pattern Prediction. CoRR abs/2305.01761 (2023) - [i73]Yushun Dong, Jundong Li, Tobias Schnabel:
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? CoRR abs/2305.01801 (2023) - [i72]Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li:
Path-Specific Counterfactual Fairness for Recommender Systems. CoRR abs/2306.02615 (2023) - [i71]Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li:
Federated Few-shot Learning. CoRR abs/2306.10234 (2023) - [i70]Song Wang, Zhen Tan, Huan Liu, Jundong Li:
Contrastive Meta-Learning for Few-shot Node Classification. CoRR abs/2306.15154 (2023) - [i69]Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li:
Learning for Counterfactual Fairness from Observational Data. CoRR abs/2307.08232 (2023) - [i68]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 abs/2307.08237 (2023) - [i67]Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu:
Collaborative Graph Neural Networks for Attributed Network Embedding. CoRR abs/2307.11981 (2023) - [i66]Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu:
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CoRR abs/2308.09663 (2023) - [i65]Song Wang, Jing Ma, Lu Cheng, Jundong Li:
Fair Few-shot Learning with Auxiliary Sets. CoRR abs/2308.14338 (2023) - [i64]Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li:
Adversarial Attacks on Fairness of Graph Neural Networks. CoRR abs/2310.13822 (2023) - [i63]Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou:
Marginal Nodes Matter: Towards Structure Fairness in Graphs. CoRR abs/2310.14527 (2023) - [i62]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 abs/2310.14845 (2023) - [i61]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) - [i60]Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li:
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. CoRR abs/2311.01108 (2023) - [i59]Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li:
Collaborative Large Language Model for Recommender Systems. CoRR abs/2311.01343 (2023) - [i58]Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li:
ELEGANT: Certified Defense on the Fairness of Graph Neural Networks. CoRR abs/2311.02757 (2023) - [i57]Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li, Huan Liu:
Interpreting Pretrained Language Models via Concept Bottlenecks. CoRR abs/2311.05014 (2023) - [i56]Zihan Chen, Jundong Li, Cong Shen:
Personalized Federated Learning with Attention-based Client Selection. CoRR abs/2312.15148 (2023) - 2022
- [j27]Jing Ma, Jundong Li:
Learning Causality with Graphs. AI Mag. 43(4): 365-375 (2022) - [j26]Lei Cai, Jundong Li, Jie Wang, Shuiwang Ji:
Line Graph Neural Networks for Link Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5103-5113 (2022) - [j25]Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li:
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications. SIGKDD Explor. 24(2): 32-47 (2022) - [j24]Zongwei Wang, Min Gao, Jundong Li, Junwei Zhang, Jiang Zhong:
Gray-Box Shilling Attack: An Adversarial Learning Approach. ACM Trans. Intell. Syst. Technol. 13(5): 82:1-82:21 (2022) - [j23]Yixiang Dong, Minnan Luo, Jundong Li, Deng Cai, Qinghua Zheng:
LookCom: Learning Optimal Network for Community Detection. IEEE Trans. Knowl. Data Eng. 34(2): 764-775 (2022) - [j22]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): 2539-2552 (2022) - [j21]Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui:
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 34(8): 3727-3739 (2022) - [j20]Kaize Ding, Kai Shu, Xuan Shan, Jundong Li, Huan Liu:
Cross-Domain Graph Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2406-2415 (2022) - [c94]Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li:
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. IJCAI 2022: 2284-2290 - [c93]Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu:
Few-Shot Learning on Graphs. IJCAI 2022: 5662-5669 - [c92]Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li:
On Structural Explanation of Bias in Graph Neural Networks. KDD 2022: 316-326 - [c91]Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan:
Learning Causal Effects on Hypergraphs. KDD 2022: 1202-1212 - [c90]Weihao Song, Yushun Dong, Ninghao Liu, Jundong Li:
GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks. KDD 2022: 1625-1634 - [c89]Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li:
Task-Adaptive Few-shot Node Classification. KDD 2022: 1910-1919 - [c88]Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr:
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. KDD 2022: 1938-1948 - [c87]Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich:
ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation. KDD 2022: 4892-4893 - [c86]Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu:
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. LoG 2022: 4 - [c85]Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei, Jundong Li, Minnan Luo:
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media. NAACL-HLT 2022: 4129-4140 - [c84]Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo:
TwiBot-22: Towards Graph-Based Twitter Bot Detection. NeurIPS 2022 - [c83]Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu:
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. NeurIPS 2022 - [c82]