Jundong Li

384 papers A* 88A 44B 7Misc 2Journal 203Unranked 38
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey of Deep Graph Learning under Distribution Shifts: From Graph Out-of-Distribution Generalization to Adaptation.
ACM Trans. Knowl. Discov. Data
Kexin Zhang, Shuhan Liu, Song Wang, Weili Shi, Chen Chen, Pan Li, Sheng Li, Jundong Li, Kaize Ding
2026 J jnl
A Survey of Weight Space Learning: Understanding, Representation, and Generation.
CoRR
Xiaolong Han, Zehong Wang, Bo Zhao, Binchi Zhang, Jundong Li, Damian Borth, Rose Yu, Haggai Maron, Yanfang Ye, Lu Yin, Ferrante Neri
2026 J jnl
BrainTAP: Brain Disorder Prediction with Adaptive Distill and Selective Prior Integration.
CoRR
Zhenyu Lei, Aiying Zhang, Song Wang, Han Fan, Jundong Li
2026 J jnl
CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching.
CoRR
Yuzhe Wang, Yaochen Zhu, Jundong Li
2026 J jnl
CeLLTra: aligning cell names with gene expression via a pathway-informed transformer.
Bioinform.
Zhao Li, Zaiyi Zheng, Rongbin Li, Wen Chen, Yuntao Yang, Meer A Ali, Jundong Li, W. Jim Zheng
2026 — conf
Certified Defense on the Fairness of Graph Neural Networks.
KDD (1)
Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li
2026 J jnl
Explainable Graph Learning for Particle Accelerator Operations.
Trans. Mach. Learn. Res.
Song Wang, Chris Tennant, Jundong Li
2026 A conf
Explaining the 'Unexplainable' Large Language Models.
WSDM
Zhen Tan, Song Wang, Tianlong Chen, Jing Ma, Jundong Li, Huan Liu
2026 J jnl
Generalizing GNNs with Tokenized Mixture of Experts.
CoRR
Xiaoguang Guo, Zehong Wang, Jiazheng Li, Shawn Spitzel, Qi Yang, Kaize Ding, Jundong Li, Chuxu Zhang
2026 J jnl
IAPO: Information-Aware Policy Optimization for Token-Efficient Reasoning.
CoRR
Yinhan He, Yaochen Zhu, Mingjia Shi, Wendy Zheng, Lin Su, Xiaoqing Wang, Qi Guo, Jundong Li
2026 J jnl
Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models.
CoRR
Binchi Zhang, Xujiang Zhao, Jundong Li, Haifeng Chen, Zhengzhang Chen
2026 A conf
MolEdit: Knowledge Editing for Multimodal Molecule Language Models.
WSDM
Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong, Jundong Li
2026 J jnl
PhysicsAgentABM: Physics-Guided Generative Agent-Based Modeling.
CoRR
Kavana Venkatesh, Yinhan He, Jundong Li, Jiaming Cui
2026 J jnl
Probing to Refine: Reinforcement Distillation of LLMs via Explanatory Inversion.
CoRR
Zhen Tan, Chengshuai Zhao, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
2026 J jnl
Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshaping.
CoRR
Zhenyu Lei, Qiong Wu, Jianxiong Dong, Yinhan He, Emily Dodwell, Yushun Dong, Jundong Li
2026 J jnl
Reversing the Death of Hypertext: Mechanistic Interpretability for LLM Navigation.
SIGWEB Newsl.
Wendy Zheng, Yinhan He, Jundong Li
2026 J jnl
Safety in Graph Machine Learning: Threats and Safeguards.
IEEE Trans. Knowl. Data Eng.
Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
2026 J jnl
Saliency-Aware Multi-Route Thinking: Revisiting Vision-Language Reasoning.
CoRR
Mingjia Shi, Yinhan He, Yaochen Zhu, Jundong Li
2025 J jnl
A Survey of Scaling in Large Language Model Reasoning.
CoRR
Zihan Chen, Song Wang, Zhen Tan, Xingbo Fu, Zhen Lei, Peng Wang, Huan Liu, Cong Shen, Jundong Li
2025 J jnl
Adaptive Dual Prompting: Hierarchical Debiasing for Fairness-aware Graph Neural Networks.
CoRR
Yuhan Yang, Xingbo Fu, Jundong Li
2025 A* conf
AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction.
EMNLP
Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li
2025 J jnl
AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction.
CoRR
Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li
2025 J jnl
Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations.
CoRR
Zhen Tan, Song Wang, Yifan Li, Yu Kong, Jundong Li, Tianlong Chen, Huan Liu
2025 A* conf
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion.
ICML
Binchi Zhang, Zaiyi Zheng, Zhengzhang Chen, Jundong Li
2025 J jnl
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion.
CoRR
Binchi Zhang, Zaiyi Zheng, Zhengzhang Chen, Jundong Li
2025 A* conf
BrainMAP: Learning Multiple Activation Pathways in Brain Networks.
AAAI
Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li
2025 A* conf
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models.
ICLR
Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li
2025 A* conf
Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables.
ICLR
Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2025 — conf
CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture.
EMNLP (Findings)
Zaiyi Zheng, Song Wang, Zihan Chen, Yaochen Zhu, Yinhan He, Liangjie Hong, Qi Guo, Jundong Li
2025 — conf
Collaborative Diffusion Model for Recommender System.
WWW (Companion Volume)
Gyuseok Lee, Yaochen Zhu, Hwanjo Yu, Yao Zhou, Jundong Li
2025 J jnl
Collaborative Diffusion Model for Recommender System.
CoRR
Gyuseok Lee, Yaochen Zhu, Hwanjo Yu, Yao Zhou, Jundong Li
2025 A* conf
Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems.
WWW
Yaochen Zhu, Chao Wan, Harald Steck, Dawen Liang, Yesu Feng, Nathan Kallus, Jundong Li
2025 J jnl
Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems.
CoRR
Yaochen Zhu, Chao Wan, Harald Steck, Dawen Liang, Yesu Feng, Nathan Kallus, Jundong Li
2025 — conf
Deep Interactions for Multimodal Molecular Property Prediction.
PAKDD (2)
Patrick Soga, Zhenyu Lei, Camille L. Bilodeau, Jundong Li
2025 A conf
Demystify Epidemic Containment in Directed Networks: Theory and Algorithms.
WSDM
Yinhan He, Chen Chen, Song Wang, Guanghui Min, Jundong Li
2025 — conf
Dynamic, Efficient, and Generalizable Multi-Agent Communication for Large Language Models.
ICDM (Workshops)
Song Wang, Jundong Li
2025 A* conf
Edge Prompt Tuning for Graph Neural Networks.
ICLR
Xingbo Fu, Yinhan He, Jundong Li
2025 J jnl
Edge Prompt Tuning for Graph Neural Networks.
CoRR
Xingbo Fu, Yinhan He, Jundong Li
2025 J jnl
End-to-End On-Device Quantization-Aware Training for LLMs at Inference Cost.
CoRR
Qitao Tan, Xiaoying Song, Jin Lu, Guoming Li, Jun Liu, Lingzi Hong, Caiwen Ding, Jundong Li, Xiaoming Zhai, Shaoyi Huang, Wei Niu, Geng Yuan
2025 — conf
Energy-Based Models for Predicting Mutational Effects on Proteins.
KDD (2)
Patrick Soga, Zhenyu Lei, Yinhan He, Camille L. Bilodeau, Jundong Li
2025 J jnl
Energy-Based Models for Predicting Mutational Effects on Proteins.
CoRR
Patrick Soga, Zhenyu Lei, Yinhan He, Camille L. Bilodeau, Jundong Li
2025 J jnl
Energy-Based Transformers are Scalable Learners and Thinkers.
CoRR
Alexi Gladstone, Ganesh Nanduru, Md Mofijul Islam, Peixuan Han, Hyeonjeong Ha, Aman Chadha, Yilun Du, Heng Ji, Jundong Li, Tariq Iqbal
2025 J jnl
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization.
CoRR
Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Mingliang Xu, Jundong Li, Yiwei Cai
2025 — conf
Fairness-Aware Graph Learning: A Benchmark.
KDD (2)
Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li
2025 J jnl
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs.
CoRR
Zihan Chen, Xingbo Fu, Yushun Dong, Jundong Li, Cong Shen
2025 J jnl
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs.
Trans. Mach. Learn. Res.
Zihan Chen, Xingbo Fu, Yushun Dong, Jundong Li, Cong Shen
2025 J jnl
From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning.
CoRR
Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhen Lei, Cong Shen, Jundong Li
2025 J jnl
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs.
CoRR
Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li
2025 J jnl
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs.
Trans. Mach. Learn. Res.
Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li
2025 J jnl
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach.
Trans. Mach. Learn. Res.
Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li
2025 J jnl
Graph Foundation Models: A Comprehensive Survey.
CoRR
Zehong Wang, Zheyuan Liu, Tianyi Ma, Jiazheng Li, Zheyuan Zhang, Xingbo Fu, Yiyang Li, Zhengqing Yuan, Wei Song, Yijun Ma, Qingkai Zeng, Xiusi Chen, Jianan Zhao, Jundong Li, Meng Jiang, Pietro Lio, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025 — conf
Graph Foundation Models: Challenges, Methods, and Open Questions.
KDD (2)
Zehong Wang, Chuxu Zhang, Jundong Li, Nitesh V. Chawla, Yanfang Ye
2025 A* conf
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective.
ICLR
Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li
2025 — conf
Graph Prompting for Graph Learning Models: Recent Advances and Future Directions.
KDD (2)
Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li
2025 J jnl
Graph Prompting for Graph Learning Models: Recent Advances and Future Directions.
CoRR
Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhen Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li
2025 A conf
GraphRCG: Self-Conditioned Graph Generation.
CIKM
Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li
2025 J jnl
GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks.
CoRR
Xingbo Fu, Zhen Lei, Zihan Chen, Binchi Zhang, Chuxu Zhang, Jundong Li
2025 — conf
Harnessing Large Language Models for Disaster Management: A Survey.
ACL (Findings)
Zhenyu Lei, Yushun Dong, Weiyu Li, Rong Ding, Qi R. Wang, Jundong Li
2025 J jnl
Harnessing Large Language Models for Disaster Management: A Survey.
CoRR
Zhenyu Lei, Yushun Dong, Weiyu Li, Rong Ding, Qi Wang, Jundong Li
2025 J jnl
Instance-Aware Graph Prompt Learning.
Trans. Mach. Learn. Res.
Jiazheng Li, Jundong Li, Chuxu Zhang
2025 J jnl
Interpretable Neuropsychiatric Diagnosis via Concept-Guided Graph Neural Networks.
CoRR
Song Wang, Zhenyu Lei, Zhen Tan, Jundong Li, Javier Rasero, Aiying Zhang, Chirag Agarwal
2025 A* conf
Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract).
IJCAI
Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu
2025 A conf
Invariant Shape Representation Learning for Image Classification.
WACV
Tonmoy Hossain, Jing Ma, Jundong Li, Miaomiao Zhang
2025 J jnl
KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models.
CoRR
Zaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, Jundong Li
2025 J jnl
Knowledge Editing for Large Language Models: A Survey.
ACM Comput. Surv.
Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li
2025 — conf
LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience.
EMNLP (Findings)
Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Nathan Kallus, Jundong Li
2025 A* conf
Learning from Diverse Reasoning Paths with Routing and Collaboration.
EMNLP
Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li
2025 J jnl
Learning from Diverse Reasoning Paths with Routing and Collaboration.
CoRR
Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li
2025 A* conf
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning.
ICML
Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen
2025 J jnl
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning.
CoRR
Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen
2025 J jnl
MCDDT: Mirror Center Loss-Based Dual-Scale Dual-Softmax Transformer for Multisource Subjects Transfer Learning in Motor Imagery Recognition.
IEEE Trans. Instrum. Meas.
Jing Luo, Jundong Li, Qi Mao, Yu Liu, Wenyao Yan, Yanmin Xue, Zhenghao Shi, Xinhong Hei
2025 A conf
MI4Rec: Pretrained Language Model based Cold-Start Recommendation with Meta-Item Embeddings.
CIKM
Zaiyi Zheng, Yaochen Zhu, Haochen Liu, Mingxuan Ju, Tong Zhao, Neil Shah, Jundong Li
2025 J jnl
MolEdit: Knowledge Editing for Multimodal Molecule Language Models.
CoRR
Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong, Jundong Li
2025 — conf
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models.
ACL (Findings)
Haochen Liu, Song Wang, Chen Chen, Jundong Li
2025 J jnl
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models.
CoRR
Haochen Liu, Song Wang, Chen Chen, Jundong Li
2025 J jnl
Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning.
CoRR
Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Vito Ostuni, Jundong Li, Nathan Kallus
2025 A* conf
Reasoning of Large Language Models over Knowledge Graphs with Super-Relations.
ICLR
Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu
2025 J jnl
Reasoning of Large Language Models over Knowledge Graphs with Super-Relations.
CoRR
Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu
2025 — conf
RelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery.
KDD (2)
Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025 — conf
RelWeb 2025: The International Workshop on Resource-Efficient Learning for the Web.
WWW (Companion Volume)
Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025 J jnl
Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating.
CoRR
Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, Jundong Li, Haifeng Chen
2025 — conf
Resource-Efficient Learning for the Web.
WWW (Companion Volume)
Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025 J jnl
Rethinking the Potential of Layer Freezing for Efficient DNN Training.
CoRR
Chence Yang, Ci Zhang, Le Lu, Qitao Tan, Sheng Li, Ao Li, Xulong Tang, Shaoyi Huang, Jinzhen Wang, Guoming Li, Jundong Li, Xiaoming Zhai, Jin Lu, Geng Yuan
2025 J jnl
SEESAW: Do Graph Neural Networks Improve Node Representation Learning for All?
J. Data-centric Mach. Learn. Res.
Yushun Dong, William Shiao, Yozen Liu, Jundong Li, Neil Shah, Tong Zhao
2025 A* conf
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data.
AAAI
Zhenyu Lei, Yushun Dong, Jundong Li, Chen Chen
2025 J jnl
SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens.
CoRR
Yinhan He, Wendy Zheng, Yaochen Zhu, Zaiyi Zheng, Lin Su, Sriram Vasudevan, Qi Guo, Liangjie Hong, Jundong Li
2025 A* conf
Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation.
EMNLP
Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li
2025 J jnl
Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation.
CoRR
Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li
2025 — conf
TGN-PNM: A Near-Memory Architecture for Temporal GNN Inference on 3D-Stacked Memory.
MEMSYS
Alif Ahmed, Felix Lin, Jundong Li, Kevin Skadron
2025 A* conf
Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models.
ICML
Yinhan He, Wendy Zheng, Yushun Dong, Yaochen Zhu, Chen Chen, Jundong Li
2025 A* conf
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning.
AAAI
Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li
2025 B conf
VirtualGCN - Enhancing Graph Collaborative Filtering with Virtual Interactions.
IEEE Big Data
Patrick Soga, Yushun Dong, Yaochen Zhu, Jundong Li, Tong Zhao, Neil Shah
2024 J jnl
"Glue pizza and eat rocks" - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models.
CoRR
Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
2024 A* conf
3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI).
KDD
Chen Zhao, Feng Chen, Xintao Wu, Jundong Li, Haifeng Chen
2024 J jnl
A Benchmark for Fairness-Aware Graph Learning.
CoRR
Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li
2024 J jnl
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation.
CoRR
Kexin Zhang, Shuhan Liu, Song Wang, Weili Shi, Chen Chen, Pan Li, Sheng Li, Jundong Li, Kaize Ding
2024 A* conf
Adversarial Attacks on Fairness of Graph Neural Networks.
ICLR
Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
2024 J jnl
BrainMAP: Learning Multiple Activation Pathways in Brain Networks.
CoRR
Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li
2024 J jnl
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models.
CoRR
Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li
2024 A* conf
Causal Inference with Latent Variables: Recent Advances and Future Prospectives.
KDD
Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
2024 J jnl
Causal Inference with Latent Variables: Recent Advances and Future Prospectives.
CoRR
Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
2024 J jnl
Channel-Wise Mixed-Precision Quantization for Large Language Models.
CoRR
Zihan Chen, Bike Xie, Jundong Li, Cong Shen
2024 J jnl
Cognitively Inspired Energy-Based World Models.
CoRR
Alexi Gladstone, Ganesh Nanduru, Md Mofijul Islam, Aman Chadha, Jundong Li, Tariq Iqbal
2024 J jnl
Collaborative Graph Neural Networks for Attributed Network Embedding.
IEEE Trans. Knowl. Data Eng.
Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu
2024 A* conf
Collaborative Large Language Model for Recommender Systems.
WWW
Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2024 A* conf
Efficient Prompt Optimization Through the Lens of Best Arm Identification.
NeurIPS
Chengshuai Shi, Kun Yang, Zihan Chen, Jundong Li, Jing Yang, Cong Shen
2024 A* conf
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization.
ICDM
Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Minghua Xu, Jundong Li, Yiwei Cai
2024 J jnl
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction.
CoRR
Yinhan He, Zaiyi Zheng, Patrick Soga, Yaozhen Zhu, Yushun Dong, Jundong Li
2024 — conf
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs.
EMNLP (Findings)
Yinhan He, Zaiyi Zheng, Patrick Soga, Yaochen Zhu, Yushun Dong, Jundong Li
2024 — conf
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning.
ACL (Findings)
Zihan Chen, Song Wang, Cong Shen, Jundong Li
2024 J jnl
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning.
CoRR
Zihan Chen, Song Wang, Cong Shen, Jundong Li
2024 J jnl
Federated Graph Learning with Graphless Clients.
CoRR
Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li
2024 J jnl
Federated Graph Learning with Graphless Clients.
Trans. Mach. Learn. Res.
Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li
2024 A* conf
Federated Graph Learning with Structure Proxy Alignment.
KDD
Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li
2024 J jnl
Federated Graph Learning with Structure Proxy Alignment.
CoRR
Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li
2024 — conf
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation.
NAACL-HLT
Haochen Liu, Song Wang, Chen Chen, Jundong Li
2024 J jnl
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation.
CoRR
Haochen Liu, Song Wang, Chen Chen, Jundong Li
2024 J jnl
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach.
CoRR
Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li
2024 A* conf
Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models.
EMNLP
Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
2024 J jnl
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective.
CoRR
Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li
2024 J jnl
Graph learning for particle accelerator operations.
Frontiers Big Data
Song Wang, Chris Tennant, Daniel Moser, Theo Larrieu, Jundong Li
2024 J jnl
GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations.
CoRR
Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li
2024 A* conf
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks.
KDD
Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li
2024 J jnl
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks.
CoRR
Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li
2024 B ed.
IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024
IEEE Big Data
Wei Ding, Chang-Tien Lu, Fusheng Wang, Liping Di, Kesheng Wu, Jun Huan, Raghu Nambiar, Jundong Li, Filip Ilievski, Ricardo Baeza-Yates, Xiaohua Hu
2024 J jnl
Instance-Aware Graph Prompt Learning.
CoRR
Jiazheng Li, Jundong Li, Chuxu Zhang
2024 — conf
Interpreting Pretrained Language Models via Concept Bottlenecks.
PAKDD (3)
Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu
2024 J jnl
Invariant Shape Representation Learning For Image Classification.
CoRR
Tonmoy Hossain, Jing Ma, Jundong Li, Miaomiao Zhang
2024 B conf
KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models.
IEEE Big Data
Zaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, Jundong Li
2024 — conf
Knowledge Graph-Enhanced Large Language Models via Path Selection.
ACL (Findings)
Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
2024 J jnl
Knowledge Graph-Enhanced Large Language Models via Path Selection.
CoRR
Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
2024 A* conf
Large Language Models for Data Annotation and Synthesis: A Survey.
EMNLP
Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu
2024 J jnl
Large Language Models for Data Annotation: A Survey.
CoRR
Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu
2024 J jnl
Learning Hierarchical Task Structures for Few-shot Graph Classification.
ACM Trans. Knowl. Discov. Data
Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
2024 A* conf
Mixture of Demonstrations for In-Context Learning.
NeurIPS
Song Wang, Zihan Chen, Chengshuai Shi, Cong Shen, Jundong Li
2024 J jnl
Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data.
ACM Trans. Knowl. Discov. Data
Qiang Huang, Jing Ma, Jundong Li, Ruocheng Guo, Huiyan Sun, Yi Chang
2024 J jnl
OEC: an online ensemble classifier for mining data streams with noisy labels.
Data Min. Knowl. Discov.
Ling Jian, Kai Shao, Ying Liu, Jundong Li, Xijun Liang
2024 Misc conf
Personalized Federated Learning with Attention-Based Client Selection.
ICASSP
Zihan Chen, Jundong Li, Cong Shen
2024 — conf
PyGDebias: A Python Library for Debiasing in Graph Learning.
WWW (Companion Volume)
Yushun Dong, Zhenyu Lei, Zaiyi Zheng, Song Wang, Jing Ma, Alex Jing Huang, Chen Chen, Jundong Li
2024 A* conf
RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery.
KDD
Chuxu Zhang, Dongkuan Xu, Kaize Ding, Jundong Li, Mojan Javaheripi, Subhabrata Mukherjee, Nitesh V. Chawla, Huan Liu
2024 J jnl
Robust Graph Meta-Learning for Weakly Supervised Few-Shot Node Classification.
ACM Trans. Knowl. Discov. Data
Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu
2024 — conf
SD-Attack: Targeted Spectral Attacks on Graphs.
PAKDD (2)
Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li
2024 J jnl
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data.
CoRR
Zhenyu Lei, Yushun Dong, Jundong Li, Chen Chen
2024 J jnl
Safety in Graph Machine Learning: Threats and Safeguards.
CoRR
Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
2024 J jnl
Self-Supervised Learning for Recommender Systems: A Survey.
IEEE Trans. Knowl. Data Eng.
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
2024 J jnl
Semi-Supervised Graph Contrastive Learning With Virtual Adversarial Augmentation.
IEEE Trans. Knowl. Data Eng.
Yixiang Dong, Minnan Luo, Jundong Li, Ziqi Liu, Qinghua Zheng
2024 J jnl
Spectral Greedy Coresets for Graph Neural Networks.
CoRR
Mucong Ding, Yinhan He, Jundong Li, Furong Huang
2024 J jnl
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective.
IEEE Trans. Knowl. Data Eng.
Jihong Wang, Minnan Luo, Jundong Li, Ziqi Liu, Jun Zhou, Qinghua Zheng
2024 A* conf
Towards Certified Unlearning for Deep Neural Networks.
ICML
Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li
2024 J jnl
Towards Certified Unlearning for Deep Neural Networks.
CoRR
Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li
2024 A conf
Understanding and Modeling Job Marketplace with Pretrained Language Models.
CIKM
Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li
2024 J jnl
Understanding and Modeling Job Marketplace with Pretrained Language Models.
CoRR
Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li
2024 J jnl
Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era.
CoRR
Xuansheng Wu, Haiyan Zhao, Yaochen Zhu, Yucheng Shi, Fan Yang, Tianming Liu, Xiaoming Zhai, Wenlin Yao, Jundong Li, Mengnan Du, Ninghao Liu
2024 A* conf
Verification of Machine Unlearning is Fragile.
ICML
Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li
2024 J jnl
Verification of Machine Unlearning is Fragile.
CoRR
Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li
2024 J jnl
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning.
CoRR
Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li
2023 A* conf
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract).
ICDE
Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng
2023 A* conf
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection.
KDD
Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li
2023 J jnl
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection.
CoRR
Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li
2023 J jnl
Adversarial Attacks on Fairness of Graph Neural Networks.
CoRR
Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
2023 — conf
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency.
ACL (1)
Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Jundong Li, Qinghua Zheng, Minnan Luo
2023 J jnl
Causal Effect Estimation under Interference on Hypergraphs.
AI Matters
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
2023 J jnl
Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization.
CoRR
Yaochen Zhu, Jing Ma, Jundong Li
2023 J jnl
Collaborative Graph Neural Networks for Attributed Network Embedding.
CoRR
Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu
2023 J jnl
Collaborative Large Language Model for Recommender Systems.
CoRR
Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2023 A* conf
Contrastive Meta-Learning for Few-shot Node Classification.
KDD
Song Wang, Zhen Tan, Huan Liu, Jundong Li
2023 J jnl
Contrastive Meta-Learning for Few-shot Node Classification.
CoRR
Song Wang, Zhen Tan, Huan Liu, Jundong Li
2023 J jnl
ELEGANT: Certified Defense on the Fairness of Graph Neural Networks.
CoRR
Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li
2023 A* conf
Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective.
KDD
Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng
2023 A conf
Fair Few-Shot Learning with Auxiliary Sets.
ECAI
Song Wang, Jing Ma, Lu Cheng, Jundong Li
2023 J jnl
Fair Few-shot Learning with Auxiliary Sets.
CoRR
Song Wang, Jing Ma, Lu Cheng, Jundong Li
2023 A* conf
Fairness in Graph Machine Learning: Recent Advances and Future Prospectives.
KDD
Yushun Dong, Oyku Deniz Kose, Yanning Shen, Jundong Li
2023 J jnl
Fairness in Graph Mining: A Survey.
IEEE Trans. Knowl. Data Eng.
Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li
2023 A* conf
Federated Few-shot Learning.
KDD
Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
2023 J jnl
Federated Few-shot Learning.
CoRR
Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
2023 A conf
Few-shot Node Classification with Extremely Weak Supervision.
WSDM
Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li
2023 J jnl
Few-shot Node Classification with Extremely Weak Supervision.
CoRR
Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li
2023 Misc conf
Generative Few-shot Graph Classification: An Adaptive Perspective.
ACSSC
Song Wang, Jundong Li
2023 A conf
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction.
CIKM
Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
2023 J jnl
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction.
CoRR
Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
2023 J jnl
Interpreting Pretrained Language Models via Concept Bottlenecks.
CoRR
Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li, Huan Liu
2023 A* conf
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution.
AAAI
Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
2023 A* conf
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion.
WWW
Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo
2023 J jnl
Knowledge Editing for Large Language Models: A Survey.
CoRR
Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li
2023 A* conf
Learning Causal Effects on Hypergraphs (Extended Abstract).
IJCAI
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
2023 J jnl
Learning Representations by Graphical Mutual Information Estimation and Maximization.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhen Peng, Minnan Luo, Wenbing Huang, Jundong Li, Qinghua Zheng, Fuchun Sun, Junzhou Huang
2023 A* conf
Learning for Counterfactual Fairness from Observational Data.
KDD
Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
2023 J jnl
Learning for Counterfactual Fairness from Observational Data.
CoRR
Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
2023 J jnl
Marginal Nodes Matter: Towards Structure Fairness in Graphs.
CoRR
Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou
2023 J jnl
Marginal Nodes Matter: Towards Structure Fairness in Graphs.
SIGKDD Explor.
Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou
2023 J jnl
Mind the Gap: Mitigating the Distribution Gap in Graph Few-shot Learning.
Trans. Mach. Learn. Res.
Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
2023 — conf
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance.
EMNLP (Findings)
Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li
2023 J jnl
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance.
CoRR
Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li
2023 J jnl
Overlapping filter bank convolutional neural network for multisubject multicategory motor imagery brain-computer interface.
BioData Min.
Jing Luo, Jundong Li, Qi Mao, Zhenghao Shi, Haiqin Liu, Xiaoyong Ren, Xinhong Hei
2023 A* conf
Path-Specific Counterfactual Fairness for Recommender Systems.
KDD
Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2023 J jnl
Path-Specific Counterfactual Fairness for Recommender Systems.
CoRR
Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2023 J jnl
Personalized Federated Learning with Attention-based Client Selection.
CoRR
Zihan Chen, Jundong Li, Cong Shen
2023 A conf
RELIANT: Fair Knowledge Distillation for Graph Neural Networks.
SDM
Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li
2023 J jnl
RELIANT: Fair Knowledge Distillation for Graph Neural Networks.
CoRR
Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li
2023 A* conf
RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery.
KDD
Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang
2023 J jnl
Second-Order Unsupervised Feature Selection via Knowledge Contrastive Distillation.
IEEE Trans. Pattern Anal. Mach. Intell.
Han Yue, Jundong Li, Hongfu Liu
2023 — conf
Spatial-Temporal Networks for Antibiogram Pattern Prediction.
ICHI
Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Y. Klein, Gregory Madden, Jundong Li
2023 J jnl
Spatial-Temporal Networks for Antibiogram Pattern Prediction.
CoRR
Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Y. Klein, Gregory Madden, Jundong Li
2023 J jnl
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt.
CoRR
Mouxiang Chen, Zemin Liu, Chenghao Liu, Jundong Li, Qiheng Mao, Jianling Sun
2023 A* conf
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?
SIGIR
Yushun Dong, Jundong Li, Tobias Schnabel
2023 J jnl
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?
CoRR
Yushun Dong, Jundong Li, Tobias Schnabel
2022 J jnl
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks.
IEEE Trans. Knowl. Data Eng.
Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng
2022 A* conf
ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation.
KDD
Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich
2022 A* conf
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US.
WWW
Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li
2022 A* conf
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.
NeurIPS
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
2022 J jnl
Benchmarking Node Outlier Detection on Graphs.
CoRR
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
2022 A* conf
CLEAR: Generative Counterfactual Explanations on Graphs.
NeurIPS
Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li
2022 J jnl
CLEAR: Generative Counterfactual Explanations on Graphs.
CoRR
Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li
2022 — conf
Contrastive Attributed Network Anomaly Detection with Data Augmentation.
PAKDD (2)
Zhiming Xu, Xiao Huang, Yue Zhao, Yushun Dong, Jundong Li
2022 J jnl
Contrastive Graph Few-Shot Learning.
CoRR
Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
2022 J jnl
Cross-Domain Graph Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst.
Kaize Ding, Kai Shu, Xuan Shan, Jundong Li, Huan Liu
2022 A* conf
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks.
WWW
Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li
2022 A* conf
Empowering Next POI Recommendation with Multi-Relational Modeling.
SIGIR
Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li
2022 J jnl
Empowering Next POI Recommendation with Multi-Relational Modeling.
CoRR
Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li
2022 J jnl
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng.
Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui
2022 A* conf
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs.
IJCAI
Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
2022 J jnl
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs.
CoRR
Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
2022 J jnl
Fairness in Graph Mining: A Survey.
CoRR
Yushun Dong, Jing Ma, Chen Chen, Jundong Li
2022 J jnl
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications.
CoRR
Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li
2022 J jnl
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications.
SIGKDD Explor.
Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li
2022 A* conf
Few-Shot Learning on Graphs.
IJCAI
Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu
2022 J jnl
Few-Shot Learning on Graphs: A Survey.
CoRR
Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu
2022 A* conf
GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks.
KDD
Weihao Song, Yushun Dong, Ninghao Liu, Jundong Li
2022 A* conf
Geometric Graph Representation Learning via Maximizing Rate Reduction.
WWW
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
2022 J jnl
Geometric Graph Representation Learning via Maximizing Rate Reduction.
CoRR
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
2022 A* conf
Graph Few-shot Learning with Task-specific Structures.
NeurIPS
Song Wang, Chen Chen, Jundong Li
2022 J jnl
Graph Few-shot Learning with Task-specific Structures.
CoRR
Song Wang, Chen Chen, Jundong Li
2022 A conf
Graph Minimally-supervised Learning.
WSDM
Kaize Ding, Jundong Li, Nitesh V. Chawla, Huan Liu
2022 J jnl
Gray-Box Shilling Attack: An Adversarial Learning Approach.
ACM Trans. Intell. Syst. Technol.
Zongwei Wang, Min Gao, Jundong Li, Junwei Zhang, Jiang Zhong
2022 A* conf
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage.
KDD
Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
2022 J jnl
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage.
CoRR
Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
2022 J jnl
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution.
CoRR
Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
2022 — conf
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media.
NAACL-HLT
Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei, Jundong Li, Minnan Luo
2022 J jnl
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media.
CoRR
Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei, Jundong Li, Minnan Luo
2022 J jnl
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion.
CoRR
Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo
2022 A* conf
Learning Causal Effects on Hypergraphs.
KDD
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
2022 J jnl
Learning Causal Effects on Hypergraphs.
CoRR
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
2022 J jnl
Learning Causality with Graphs.
AI Mag.
Jing Ma, Jundong Li
2022 A conf
Learning Fair Node Representations with Graph Counterfactual Fairness.
WSDM
Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
2022 J jnl
Learning Fair Node Representations with Graph Counterfactual Fairness.
CoRR
Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
2022 J jnl
Line Graph Neural Networks for Link Prediction.
IEEE Trans. Pattern Anal. Mach. Intell.
Lei Cai, Jundong Li, Jie Wang, Shuiwang Ji
2022 J jnl
LookCom: Learning Optimal Network for Community Detection.
IEEE Trans. Knowl. Data Eng.
Yixiang Dong, Minnan Luo, Jundong Li, Deng Cai, Qinghua Zheng
2022 A* conf
On Structural Explanation of Bias in Graph Neural Networks.
KDD
Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
2022 J jnl
On Structural Explanation of Bias in Graph Neural Networks.
CoRR
Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
2022 J jnl
Robust Unsupervised Graph Representation Learning via Mutual Information Maximization.
CoRR
Jihong Wang, Minnan Luo, Jundong Li, Ziqi Liu, Jun Zhou, Qinghua Zheng
2022 J jnl
Self-Supervised Learning for Recommender Systems: A Survey.
CoRR
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
2022 — conf
SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training.
ECML/PKDD (4)
Qiang Huang, Jing Ma, Jundong Li, Huiyan Sun, Yi Chang
2022 A* conf
Task-Adaptive Few-shot Node Classification.
KDD
Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li
2022 J jnl
Task-Adaptive Few-shot Node Classification.
CoRR
Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li
2022 J jnl
Towards Explanation for Unsupervised Graph-Level Representation Learning.
CoRR
Qinghua Zheng, Jihong Wang, Minnan Luo, Yaoliang Yu, Jundong Li, Lina Yao, Xiaojun Chang
2022 — conf
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification.
LoG
Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu
2022 J jnl
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification.
CoRR
Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu
2022 A* conf
TwiBot-22: Towards Graph-Based Twitter Bot Detection.
NeurIPS
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
2022 J jnl
TwiBot-22: Towards Graph-Based Twitter Bot Detection.
CoRR
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
2022 A* conf
Unbiased Graph Embedding with Biased Graph Observations.
WWW
Nan Wang, Lu Lin, Jundong Li, Hongning Wang
2021 J jnl
A Survey of Learning Causality with Data: Problems and Methods.
ACM Comput. Surv.
Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu
2021 A conf
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter.
CIKM
Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li
2021 J jnl
Anomaly Detection Aided Budget Online Classification for Imbalanced Data Streams.
IEEE Intell. Syst.
Xijun Liang, Xiaoxin Song, Kai Qi, Jundong Li, Jinyu Liu, Ling Jian
2021 A* conf
Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA).
KDD
Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich
2021 J jnl
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US.
CoRR
Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li
2021 — conf
Automated Generation of Disaster Response Networks through Information Extraction.
ISCRAM
Yitong Li, Duoduo Liao, Jundong Li, Wenying Ji
2021 J jnl
Automated Generation of Interorganizational Disaster Response Networks through Information Extraction.
CoRR
Yitong Li, Duoduo Liao, Jundong Li, Wenying Ji
2021 A* conf
Data Efficient Learning on Graphs.
KDD
Chuxu Zhang, Jundong Li, Meng Jiang
2021 A conf
Deconfounding with Networked Observational Data in a Dynamic Environment.
WSDM
Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li
2021 A conf
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation.
CIKM
Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin
2021 J jnl
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation.
CoRR
Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin
2021 J jnl
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks.
CoRR
Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li
2021 A conf
Fairness-Aware Unsupervised Feature Selection.
CIKM
Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li
2021 J jnl
Fairness-Aware Unsupervised Feature Selection.
CoRR
Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li
2021 J jnl
Graph Neural Networks with Adaptive Frequency Response Filter.
CoRR
Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li
2021 J jnl
Incremental one-class collaborative filtering with co-evolving side networks.
Knowl. Inf. Syst.
Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong
2021 A* conf
Individual Fairness for Graph Neural Networks: A Ranking based Approach.
KDD
Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li
2021 A* conf
Multi-Cause Effect Estimation with Disentangled Confounder Representation.
IJCAI
Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
2021 A conf
REFORM: Error-Aware Few-Shot Knowledge Graph Completion.
CIKM
Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li
2021 J jnl
Recommender systems based on generative adversarial networks: A problem-driven perspective.
Inf. Sci.
Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong
2021 J jnl
Rumor2vec: A rumor detection framework with joint text and propagation structure representation learning.
Inf. Sci.
Kefei Tu, Chen Chen, Chunyan Hou, Jing Yuan, Jundong Li, Xiaojie Yuan
2021 A conf
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection.
CIKM
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
2021 J jnl
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection.
CoRR
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
2021 A* conf
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation.
WWW
Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
2021 J jnl
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation.
CoRR
Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
2021 A conf
Toward User Engagement Optimization in 2D Presentation.
WSDM
Liang Wu, Mihajlo Grbovic, Jundong Li
2021 A conf
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark.
CIKM
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
2021 J jnl
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark.
CoRR
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
2021 J jnl
Unbiased Graph Embedding with Biased Graph Observations.
CoRR
Nan Wang, Lu Lin, Jundong Li, Hongning Wang
2021 A* conf
Unsupervised Graph Alignment with Wasserstein Distance Discriminator.
KDD
Ji Gao, Xiao Huang, Jundong Li
2021 J jnl
Weakly-supervised Graph Meta-learning for Few-shot Node Classification.
CoRR
Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu
2020 — conf
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification.
EMNLP (1)
Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu
2020 J jnl
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification.
CoRR
Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu
2020 A conf
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data.
SDM
Ruocheng Guo, Jundong Li, Huan Liu
2020 J jnl
Enhance Social Recommendation with Adversarial Graph Convolutional Networks.
CoRR
Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui
2020 J jnl
Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics.
IEEE Trans. Vis. Comput. Graph.
Yuxin Ma, Tiankai Xie, Jundong Li, Ross Maciejewski
2020 A conf
Graph Few-shot Learning with Attribute Matching.
CIKM
Ning Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, Qinghua Zheng
2020 A conf
Graph Prototypical Networks for Few-shot Learning on Attributed Networks.
CIKM
Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu
2020 J jnl
Graph Prototypical Networks for Few-shot Learning on Attributed Networks.
CoRR
Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu
2020 A* conf
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data.
IJCAI
Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, Huan Liu
2020 A* conf
Inductive Anomaly Detection on Attributed Networks.
IJCAI
Kaize Ding, Jundong Li, Nitin Agarwal, Huan Liu
2020 A conf
Learning Individual Causal Effects from Networked Observational Data.
WSDM
Ruocheng Guo, Jundong Li, Huan Liu
2020 J jnl
Line Graph Neural Networks for Link Prediction.
CoRR
Lei Cai, Jundong Li, Jie Wang, Shuiwang Ji
2020 J jnl
Nonlinear feature selection on attributed networks.
Neurocomputing
Zhongping Lin, Minnan Luo, Zhen Peng, Jundong Li, Qinghua Zheng
2020 J jnl
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective.
CoRR
Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong
2020 J jnl
Scalable Attack on Graph Data by Injecting Vicious Nodes.
CoRR
Jihong Wang, Minnan Luo, Fnu Suya, Jundong Li, Zijiang Yang, Qinghua Zheng
2020 B conf
Scalable Social Tie Strength Measuring.
ASONAM
Yan Zhong, Xiao Huang, Jundong Li, Xia Hu
2020 J jnl
Scalable attack on graph data by injecting vicious nodes.
Data Min. Knowl. Discov.
Jihong Wang, Minnan Luo, Fnu Suya, Jundong Li, Zijiang Yang, Qinghua Zheng
2020 A* conf
Tracking Disaster Footprints with Social Streaming Data.
AAAI
Lu Cheng, Jundong Li, K. Selçuk Candan, Huan Liu
2020 — conf
Unsupervised Hierarchical Feature Selection on Networked Data.
DASFAA (3)
Yuzhe Zhang, Chen Chen, Minnan Luo, Jundong Li, Caixia Yan, Qinghua Zheng
2020 J jnl
Using machine learning to predict ovarian cancer.
Int. J. Medical Informatics
Mingyang Lu, Zhenjiang Fan, Bin Xu, Lujun Chen, Xiao Zheng, Jundong Li, Taieb Znati, Qi Mi, Jingting Jiang
2019 A* conf
Adaptive Unsupervised Feature Selection on Attributed Networks.
KDD
Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu
2019 — conf
Anomaly Detection in Time-Evolving Attributed Networks.
DASFAA (3)
Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu
2019 J jnl
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data.
CoRR
Ruocheng Guo, Jundong Li, Huan Liu
2019 A conf
Deep Anomaly Detection on Attributed Networks.
SDM
Kaize Ding, Jundong Li, Rohit Bhanushali, Huan Liu
2019 B conf
Deep Structured Cross-Modal Anomaly Detection.
IJCNN
Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu
2019 J jnl
Deep Structured Cross-Modal Anomaly Detection.
CoRR
Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu
2019 J jnl
Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics.
CoRR
Yuxin Ma, Tiankai Xie, Jundong Li, Ross Maciejewski
2019 A* conf
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation.
ICDM
Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
2019 J jnl
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation.
CoRR
Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
2019 J jnl
Graph Neural Networks with High-order Feature Interactions.
CoRR
Kaize Ding, Yichuan Li, Jundong Li, Chenghao Liu, Huan Liu
2019 — conf
Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search.
DASFAA (1)
Zhen Peng, Minnan Luo, Jundong Li, Chen Chen, Qinghua Zheng
2019 A* conf
InterSpot: Interactive Spammer Detection in Social Media.
IJCAI
Kaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, Huan Liu
2019 A conf
Interactive Anomaly Detection on Attributed Networks.
WSDM
Kaize Ding, Jundong Li, Huan Liu
2019 A* conf
Learning From Networks: Algorithms, Theory, and Applications.
KDD
Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu
2019 J jnl
Learning Individual Treatment Effects from Networked Observational Data.
CoRR
Ruocheng Guo, Jundong Li, Huan Liu
2019 — —
Learning with Attributed Networks: Algorithms and Applications.
Jundong Li
2019 B conf
Multi-level network embedding with boosted low-rank matrix approximation.
ASONAM
Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu, Huan Liu
2019 — conf
Online Collaborative Filtering with Implicit Feedback.
DASFAA (2)
Jianwen Yin, Chenghao Liu, Jundong Li, Bing Tian Dai, Yun-chen Chen, Min Wu, Jianling Sun
2019 A* conf
PI-Bully: Personalized Cyberbullying Detection with Peer Influence.
IJCAI
Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu
2019 A conf
Robust Factorization Machine: A Doubly Capped Norms Minimization.
SDM
Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven C. H. Hoi
2019 A conf
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks.
CIKM
Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou
2019 J jnl
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks.
CoRR
Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou
2019 J jnl
Towards privacy preserving social recommendation under personalized privacy settings.
World Wide Web
Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang
2019 A conf
XBully: Cyberbullying Detection within a Multi-Modal Context.
WSDM
Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu
2018 J jnl
A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks.
ACM Trans. Knowl. Discov. Data
Xiao Huang, Jundong Li, Na Zou, Xia Hu
2018 J jnl
A Survey of Learning Causality with Data: Problems and Methods.
CoRR
Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu
2018 A* conf
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks.
IJCAI
Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng
2018 A conf
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation.
CIKM
Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu
2018 J jnl
Exploiting Multilabel Information for Noise-Resilient Feature Selection.
ACM Trans. Intell. Syst. Technol.
Ling Jian, Jundong Li, Huan Liu
2018 A conf
Exploring Expert Cognition for Attributed Network Embedding.
WSDM
Xiao Huang, Qingquan Song, Jundong Li, Xia Hu
2018 J jnl
Feature Selection: A Data Perspective.
ACM Comput. Surv.
Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu
2018 A* conf
INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process.
IJCAI
Ruocheng Guo, Jundong Li, Huan Liu
2018 A* conf
Interactive Unknowns Recommendation in E-Learning Systems.
ICDM
Shan-Yun Teng, Jundong Li, Lo Pang-Yun Ting, Kun-Ta Chuang, Huan Liu
2018 A conf
Multi-Layered Network Embedding.
SDM
Jundong Li, Chen Chen, Hanghang Tong, Huan Liu
2018 J jnl
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation.
CoRR
Jundong Li, Liang Wu, Huan Liu
2018 A* conf
On Interpretation of Network Embedding via Taxonomy Induction.
KDD
Ninghao Liu, Xiao Huang, Jundong Li, Xia Hu
2018 J jnl
Online Newton Step Algorithm with Estimated Gradient.
CoRR
Binbin Liu, Jundong Li, Yunquan Song, Xijun Liang, Ling Jian, Huan Liu
2018 A* conf
Personalized Privacy-Preserving Social Recommendation.
AAAI
Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang
2018 A conf
Streaming Link Prediction on Dynamic Attributed Networks.
WSDM
Jundong Li, Kewei Cheng, Liang Wu, Huan Liu
2018 A conf
Toward Relational Learning with Misinformation.
SDM
Liang Wu, Jundong Li, Fred Morstatter, Huan Liu
2018 J jnl
Toward online node classification on streaming networks.
Data Min. Knowl. Discov.
Ling Jian, Jundong Li, Huan Liu
2018 A* conf
Understanding and Predicting Delay in Reciprocal Relations.
WWW
Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu
2018 A* conf
Unsupervised Personalized Feature Selection.
AAAI
Jundong Li, Liang Wu, Harsh Dani, Huan Liu
2017 A conf
Accelerated Attributed Network Embedding.
SDM
Xiao Huang, Jundong Li, Xia Hu
2017 A conf
Attributed Network Embedding for Learning in a Dynamic Environment.
CIKM
Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu
2017 J jnl
Attributed Network Embedding for Learning in a Dynamic Environment.
CoRR
Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu
2017 J jnl
Budget Online Learning Algorithm for Least Squares SVM.
IEEE Trans. Neural Networks Learn. Syst.
Ling Jian, Shuqian Shen, Jundong Li, Xijun Liang, Lei Li
2017 J jnl
Challenges of Feature Selection for Big Data Analytics.
IEEE Intell. Syst.
Jundong Li, Huan Liu
2017 J jnl
Exploiting Expertise Rules for Statistical Data-Driven Modeling.
IEEE Trans. Ind. Electron.
Ling Jian, Jundong Li, Shihua Luo
2017 J jnl
Exploiting statistically significant dependent rules for associative classification.
Intell. Data Anal.
Jundong Li, Osmar R. Zaïane
2017 A conf
Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media.
SDM
Liang Wu, Jundong Li, Xia Hu, Huan Liu
2017 A conf
Label Informed Attributed Network Embedding.
WSDM
Xiao Huang, Jundong Li, Xia Hu
2017 A* conf
Radar: Residual Analysis for Anomaly Detection in Attributed Networks.
IJCAI
Jundong Li, Harsh Dani, Xia Hu, Huan Liu
2017 A* conf
Reconstruction-based Unsupervised Feature Selection: An Embedded Approach.
IJCAI
Jundong Li, Jiliang Tang, Huan Liu
2017 — conf
Sentiment Informed Cyberbullying Detection in Social Media.
ECML/PKDD (1)
Harsh Dani, Jundong Li, Huan Liu
2017 A conf
Toward Personalized Relational Learning.
SDM
Jundong Li, Liang Wu, Osmar R. Zaïane, Huan Liu
2017 A* conf
Understanding and Discovering Deliberate Self-harm Content in Social Media.
WWW
Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang
2017 J jnl
Understanding and Predicting Delay in Reciprocal Relations.
CoRR
Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu
2017 A* conf
Unsupervised Feature Selection in Signed Social Networks.
KDD
Kewei Cheng, Jundong Li, Huan Liu
2017 A* conf
Unsupervised Sentiment Analysis with Signed Social Networks.
AAAI
Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu
2016 J jnl
Challenges of Feature Selection for Big Data Analytics.
CoRR
Jundong Li, Huan Liu
2016 J jnl
Feature Selection: A Data Perspective.
CoRR
Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu
2016 A conf
FeatureMiner: A Tool for Interactive Feature Selection.
CIKM
Kewei Cheng, Jundong Li, Huan Liu
2016 A* conf
Multi-Label Informed Feature Selection.
IJCAI
Ling Jian, Jundong Li, Kai Shu, Huan Liu
2016 J jnl
On discovering co-location patterns in datasets: a case study of pollutants and child cancers.
GeoInformatica
Jundong Li, Aibek Adilmagambetov, Mohomed Shazan Mohomed Jabbar, Osmar R. Zaïane, Alvaro Osornio-Vargas, Osnat Wine
2016 A conf
Robust Unsupervised Feature Selection on Networked Data.
SDM
Jundong Li, Xia Hu, Liang Wu, Huan Liu
2016 A* conf
Toward Time-Evolving Feature Selection on Dynamic Networks.
ICDM
Jundong Li, Xia Hu, Ling Jian, Huan Liu
2015 A conf
Associative Classification with Statistically Significant Positive and Negative Rules.
CIKM
Jundong Li, Osmar R. Zaïane
2015 A conf
Unsupervised Streaming Feature Selection in Social Media.
CIKM
Jundong Li, Xia Hu, Jiliang Tang, Huan Liu
2014 — conf
Active Learning Strategies for Semi-Supervised DBSCAN.
Canadian AI
Jundong Li, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek
2014 B conf
Discovering Statistically Significant Co-location Rules in Datasets with Extended Spatial Objects.
DaWaK
Jundong Li, Osmar R. Zaïane, Alvaro Osornio-Vargas
2014 — ch.
Negative Association Rules.
Frequent Pattern Mining
Luiza Antonie, Jundong Li, Osmar R. Zaïane
2014 J jnl
On Discovering Co-Location Patterns in Datasets: A Case Study of Pollutants and Child Cancers.
CoRR
Jundong Li, Aibek Adilmagambetov, Osmar R. Zaïane, Alvaro Osornio-Vargas, Osnat Wine