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Jundong Li

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

164

Venues

24

Active years

2014–2026

Best venue rank

A*

Where they publish

Papers

164 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLLOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory.Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, Jundong Li, Haifeng Chen
2026ACLMind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models.Binchi Zhang, Xujiang Zhao, Jundong Li, Haifeng Chen, Zhengzhang Chen
2026KDDCertified Defense on the Fairness of Graph Neural Networks.Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li
2026WSDMMolEdit: Knowledge Editing for Multimodal Molecule Language Models.Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong, Jundong Li
2026WSDMExplaining the 'Unexplainable' Large Language Models.Zhen Tan, Song Wang, Tianlong Chen, Jing Ma, Jundong Li, Huan Liu
2025AAAIVirtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning.Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li
2025AAAIST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data.Zhenyu Lei, Yushun Dong, Jundong Li, Chen Chen
2025AAAIBrainMAP: Learning Multiple Activation Pathways in Brain Networks.Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li
2025ACLHarnessing Large Language Models for Disaster Management: A Survey.Zhenyu Lei, Yushun Dong, Weiyu Li, Rong Ding, Qi R. Wang, Jundong Li
2025ACLQuestion-Aware Knowledge Graph Prompting for Enhancing Large Language Models.Haochen Liu, Song Wang, Chen Chen, Jundong Li
2025CIKMGraphRCG: Self-Conditioned Graph Generation.Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li
2025CIKMMI4Rec: Pretrained Language Model based Cold-Start Recommendation with Meta-Item Embeddings.Zaiyi Zheng, Yaochen Zhu, Haochen Liu, Mingxuan Ju, Tong Zhao, Neil Shah, Jundong Li
2025EMNLPLearning from Diverse Reasoning Paths with Routing and Collaboration.Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li
2025EMNLPSeparate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation.Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li
2025EMNLPAnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction.Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li
2025EMNLPCoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture.Zaiyi Zheng, Song Wang, Zihan Chen, Yaochen Zhu, Yinhan He, Liangjie Hong, Qi Guo, Jundong Li
2025EMNLPLLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience.Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Nathan Kallus, Jundong Li
2025ICDMDynamic, Efficient, and Generalizable Multi-Agent Communication for Large Language Models.Song Wang, Jundong Li
2025ICLRGraph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective.Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li
2025ICLREdge Prompt Tuning for Graph Neural Networks.Xingbo Fu, Yinhan He, Jundong Li
2025ICLRReasoning of Large Language Models over Knowledge Graphs with Super-Relations.Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu
2025ICLRCEB: Compositional Evaluation Benchmark for Fairness in Large Language Models.Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li
2025ICLRCausal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables.Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2025ICMLMAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning.Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen
2025ICMLTowards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models.Yinhan He, Wendy Zheng, Yushun Dong, Yaochen Zhu, Chen Chen, Jundong Li
2025ICMLBeyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion.Binchi Zhang, Zaiyi Zheng, Zhengzhang Chen, Jundong Li
2025IJCAIInterpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract).Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu
2025KDDFairness-Aware Graph Learning: A Benchmark.Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li
2025KDDGraph Prompting for Graph Learning Models: Recent Advances and Future Directions.Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li
2025KDDEnergy-Based Models for Predicting Mutational Effects on Proteins.Patrick Soga, Zhenyu Lei, Yinhan He, Camille L. Bilodeau, Jundong Li
2025KDDGraph Foundation Models: Challenges, Methods, and Open Questions.Zehong Wang, Chuxu Zhang, Jundong Li, Nitesh V. Chawla, Yanfang Ye
2025KDDRelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery.Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025PAKDDDeep Interactions for Multimodal Molecular Property Prediction.Patrick Soga, Zhenyu Lei, Camille L. Bilodeau, Jundong Li
2025WWWCollaborative Diffusion Model for Recommender System.Gyuseok Lee, Yaochen Zhu, Hwanjo Yu, Yao Zhou, Jundong Li
2025WWWResource-Efficient Learning for the Web.Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025WWWRelWeb 2025: The International Workshop on Resource-Efficient Learning for the Web.Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025WWWCollaborative Retrieval for Large Language Model-based Conversational Recommender Systems.Yaochen Zhu, Chao Wan, Harald Steck, Dawen Liang, Yesu Feng, Nathan Kallus, Jundong Li
2025WACVInvariant Shape Representation Learning for Image Classification.Tonmoy Hossain, Jing Ma, Jundong Li, Miaomiao Zhang
2025WSDMDemystify Epidemic Containment in Directed Networks: Theory and Algorithms.Yinhan He, Chen Chen, Song Wang, Guanghui Min, Jundong Li
2024ACLFastGAS: Fast Graph-based Annotation Selection for In-Context Learning.Zihan Chen, Song Wang, Cong Shen, Jundong Li
2024ACLKnowledge Graph-Enhanced Large Language Models via Path Selection.Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
2024CIKMUnderstanding and Modeling Job Marketplace with Pretrained Language Models.Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li
2024EMNLPExplaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs.Yinhan He, Zaiyi Zheng, Patrick Soga, Yaochen Zhu, Yushun Dong, Jundong Li
2024EMNLPLarge Language Models for Data Annotation and Synthesis: A Survey.Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu
2024EMNLPGlue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models.Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
2024ICASSPPersonalized Federated Learning with Attention-Based Client Selection.Zihan Chen, Jundong Li, Cong Shen
2024ICDMEnhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization.Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Minghua Xu, Jundong Li, Yiwei Cai
2024ICLRAdversarial Attacks on Fairness of Graph Neural Networks.Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
2024ICMLVerification of Machine Unlearning is Fragile.Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li
2024ICMLTowards Certified Unlearning for Deep Neural Networks.Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li
2024KDDIDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks.Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li
2024KDDFederated Graph Learning with Structure Proxy Alignment.Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li
2024KDDRelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery.Chuxu Zhang, Dongkuan Xu, Kaize Ding, Jundong Li, Mojan Javaheripi, Subhabrata Mukherjee, Nitesh V. Chawla, Huan Liu
2024KDD3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI).Chen Zhao, Feng Chen, Xintao Wu, Jundong Li, Haifeng Chen
2024KDDCausal Inference with Latent Variables: Recent Advances and Future Prospectives.Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
2024NAACLFew-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation.Haochen Liu, Song Wang, Chen Chen, Jundong Li
2024PAKDDInterpreting Pretrained Language Models via Concept Bottlenecks.Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu
2024PAKDDSD-Attack: Targeted Spectral Attacks on Graphs.Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li
2024WWWPyGDebias: A Python Library for Debiasing in Graph Learning.Yushun Dong, Zhenyu Lei, Zaiyi Zheng, Song Wang, Jing Ma, Alex Jing Huang, Chen Chen, Jundong Li
2024WWWCollaborative Large Language Model for Recommender Systems.Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2023AAAIInterpreting Unfairness in Graph Neural Networks via Training Node Attribution.Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
2023ACLBIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency.Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Jundong Li, Qinghua Zheng, Minnan Luo
2023ACSSCGenerative Few-shot Graph Classification: An Adaptive Perspective.Song Wang, Jundong Li
2023CIKMGiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction.Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
2023ECAIFair Few-Shot Learning with Auxiliary Sets.Song Wang, Jing Ma, Lu Cheng, Jundong Li
2023EMNLPNoise-Robust Fine-Tuning of Pretrained Language Models via External Guidance.Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li
2023ICDEA Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract).Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng
2023IJCAILearning Causal Effects on Hypergraphs (Extended Abstract).Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
2023KDDLearning for Counterfactual Fairness from Observational Data.Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
2023KDDFairness in Graph Machine Learning: Recent Advances and Future Prospectives.Yushun Dong, Oyku Deniz Kose, Yanning Shen, Jundong Li
2023KDDA Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection.Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li
2023KDDFederated Few-shot Learning.Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
2023KDDEmpower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective.Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng
2023KDDContrastive Meta-Learning for Few-shot Node Classification.Song Wang, Zhen Tan, Huan Liu, Jundong Li
2023KDDRelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery.Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang
2023KDDPath-Specific Counterfactual Fairness for Recommender Systems.Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2023WWWKRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion.Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo
2023SIGIRWhen Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?Yushun Dong, Jundong Li, Tobias Schnabel
2023WSDMFew-shot Node Classification with Extremely Weak Supervision.Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li
2023SDMRELIANT: Fair Knowledge Distillation for Graph Neural Networks.Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li
2022IJCAIFAITH: Few-Shot Graph Classification with Hierarchical Task Graphs.Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
2022IJCAIFew-Shot Learning on Graphs.Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu
2022KDDOn Structural Explanation of Bias in Graph Neural Networks.Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
2022KDDLearning Causal Effects on Hypergraphs.Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
2022KDDANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation.Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich
2022KDDGUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks.Weihao Song, Yushun Dong, Ninghao Liu, Jundong Li
2022KDDTask-Adaptive Few-shot Node Classification.Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li
2022KDDImproving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage.Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
2022NAACLKCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media.Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei, Jundong Li, Minnan Luo
2022PAKDDContrastive Attributed Network Anomaly Detection with Data Augmentation.Zhiming Xu, Xiao Huang, Yue Zhao, Yushun Dong, Jundong Li
2022WWWEDITS: Modeling and Mitigating Data Bias for Graph Neural Networks.Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li
2022WWWGeometric Graph Representation Learning via Maximizing Rate Reduction.Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
2022WWWAssessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US.Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li
2022WWWUnbiased Graph Embedding with Biased Graph Observations.Nan Wang, Lu Lin, Jundong Li, Hongning Wang
2022SIGIREmpowering Next POI Recommendation with Multi-Relational Modeling.Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li
2022WSDMGraph Minimally-supervised Learning.Kaize Ding, Jundong Li, Nitesh V. Chawla, Huan Liu
2022WSDMLearning Fair Node Representations with Graph Counterfactual Fairness.Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
2021CIKMAdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter.Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li
2021CIKMSATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection.Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
2021CIKMTwiBot-20: A Comprehensive Twitter Bot Detection Benchmark.Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
2021CIKMREFORM: Error-Aware Few-Shot Knowledge Graph Completion.Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li
2021CIKMFairness-Aware Unsupervised Feature Selection.Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li
2021CIKMDouble-Scale Self-Supervised Hypergraph Learning for Group Recommendation.Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin
2021IJCAIMulti-Cause Effect Estimation with Disentangled Confounder Representation.Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
2021KDDIndividual Fairness for Graph Neural Networks: A Ranking based Approach.Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li
2021KDDUnsupervised Graph Alignment with Wasserstein Distance Discriminator.Ji Gao, Xiao Huang, Jundong Li
2021KDDAnomaly and Novelty Detection, Explanation, and Accommodation (ANDEA).Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich
2021KDDData Efficient Learning on Graphs.Chuxu Zhang, Jundong Li, Meng Jiang
2021WWWSelf-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation.Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
2021WSDMToward User Engagement Optimization in 2D Presentation.Liang Wu, Mihajlo Grbovic, Jundong Li
2021WSDMDeconfounding with Networked Observational Data in a Dynamic Environment.Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li
2020AAAITracking Disaster Footprints with Social Streaming Data.Lu Cheng, Jundong Li, K. Seluk Candan, Huan Liu
2020CIKMGraph Prototypical Networks for Few-shot Learning on Attributed Networks.Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu
2020CIKMGraph Few-shot Learning with Attribute Matching.Ning Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, Qinghua Zheng
2020DASFAAUnsupervised Hierarchical Feature Selection on Networked Data.Yuzhe Zhang, Chen Chen, Minnan Luo, Jundong Li, Caixia Yan, Qinghua Zheng
2020EMNLPBe More with Less: Hypergraph Attention Networks for Inductive Text Classification.Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu
2020IJCAIInductive Anomaly Detection on Attributed Networks.Kaize Ding, Jundong Li, Nitin Agarwal, Huan Liu
2020IJCAIIGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data.Ruocheng Guo, Jundong Li, Yichuan Li, K. Seluk Candan, Adrienne Raglin, Huan Liu
2020WSDMLearning Individual Causal Effects from Networked Observational Data.Ruocheng Guo, Jundong Li, Huan Liu
2020SDMCounterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data.Ruocheng Guo, Jundong Li, Huan Liu
2019CIKMSpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks.Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou
2019DASFAAHeterogeneous Information Network Hashing for Fast Nearest Neighbor Search.Zhen Peng, Minnan Luo, Jundong Li, Chen Chen, Qinghua Zheng
2019DASFAAAnomaly Detection in Time-Evolving Attributed Networks.Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu
2019DASFAAOnline Collaborative Filtering with Implicit Feedback.Jianwen Yin, Chenghao Liu, Jundong Li, Bing Tian Dai, Yun-chen Chen, Min Wu, Jianling Sun
2019ICDMGenerating Reliable Friends via Adversarial Training to Improve Social Recommendation.Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
2019IJCAIPI-Bully: Personalized Cyberbullying Detection with Peer Influence.Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu
2019IJCAIInterSpot: Interactive Spammer Detection in Social Media.Kaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, Huan Liu
2019IJCNNDeep Structured Cross-Modal Anomaly Detection.Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu
2019KDDLearning From Networks: Algorithms, Theory, and Applications.Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu
2019KDDAdaptive Unsupervised Feature Selection on Attributed Networks.Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu
2019WSDMXBully: Cyberbullying Detection within a Multi-Modal Context.Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu
2019WSDMInteractive Anomaly Detection on Attributed Networks.Kaize Ding, Jundong Li, Huan Liu
2019SDMDeep Anomaly Detection on Attributed Networks.Kaize Ding, Jundong Li, Rohit Bhanushali, Huan Liu
2019SDMRobust Factorization Machine: A Doubly Capped Norms Minimization.Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven C. H. Hoi
2018AAAIUnsupervised Personalized Feature Selection.Jundong Li, Liang Wu, Harsh Dani, Huan Liu
2018AAAIPersonalized Privacy-Preserving Social Recommendation.Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang
2018CIKMAdaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation.Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu
2018ICDMInteractive Unknowns Recommendation in E-Learning Systems.Shan-Yun Teng, Jundong Li, Lo Pang-Yun Ting, Kun-Ta Chuang, Huan Liu
2018IJCAIINITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process.Ruocheng Guo, Jundong Li, Huan Liu
2018IJCAIANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks.Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng
2018KDDOn Interpretation of Network Embedding via Taxonomy Induction.Ninghao Liu, Xiao Huang, Jundong Li, Xia Hu
2018WWWUnderstanding and Predicting Delay in Reciprocal Relations.Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu
2018WSDMExploring Expert Cognition for Attributed Network Embedding.Xiao Huang, Qingquan Song, Jundong Li, Xia Hu
2018WSDMStreaming Link Prediction on Dynamic Attributed Networks.Jundong Li, Kewei Cheng, Liang Wu, Huan Liu
2018SDMToward Relational Learning with Misinformation.Liang Wu, Jundong Li, Fred Morstatter, Huan Liu
2018SDMMulti-Layered Network Embedding.Jundong Li, Chen Chen, Hanghang Tong, Huan Liu
2017AAAIUnsupervised Sentiment Analysis with Signed Social Networks.Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu
2017CIKMAttributed Network Embedding for Learning in a Dynamic Environment.Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu
2017IJCAIRadar: Residual Analysis for Anomaly Detection in Attributed Networks.Jundong Li, Harsh Dani, Xia Hu, Huan Liu
2017IJCAIReconstruction-based Unsupervised Feature Selection: An Embedded Approach.Jundong Li, Jiliang Tang, Huan Liu
2017KDDUnsupervised Feature Selection in Signed Social Networks.Kewei Cheng, Jundong Li, Huan Liu
2017WWWUnderstanding and Discovering Deliberate Self-harm Content in Social Media.Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang
2017WSDMLabel Informed Attributed Network Embedding.Xiao Huang, Jundong Li, Xia Hu
2017SDMAccelerated Attributed Network Embedding.Xiao Huang, Jundong Li, Xia Hu
2017SDMToward Personalized Relational Learning.Jundong Li, Liang Wu, Osmar R. Zaane, Huan Liu
2017SDMGleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media.Liang Wu, Jundong Li, Xia Hu, Huan Liu
2016CIKMFeatureMiner: A Tool for Interactive Feature Selection.Kewei Cheng, Jundong Li, Huan Liu
2016ICDMToward Time-Evolving Feature Selection on Dynamic Networks.Jundong Li, Xia Hu, Ling Jian, Huan Liu
2016IJCAIMulti-Label Informed Feature Selection.Ling Jian, Jundong Li, Kai Shu, Huan Liu
2016SDMRobust Unsupervised Feature Selection on Networked Data.Jundong Li, Xia Hu, Liang Wu, Huan Liu
2015CIKMUnsupervised Streaming Feature Selection in Social Media.Jundong Li, Xia Hu, Jiliang Tang, Huan Liu
2015CIKMAssociative Classification with Statistically Significant Positive and Negative Rules.Jundong Li, Osmar R. Zaane
2014AIActive Learning Strategies for Semi-Supervised DBSCAN.Jundong Li, Jrg Sander, Ricardo J. G. B. Campello, Arthur Zimek
2014DaWaKDiscovering Statistically Significant Co-location Rules in Datasets with Extended Spatial Objects.Jundong Li, Osmar R. Zaane, Alvaro Osornio-Vargas