Carl Yang

According to our database, Carl Yang authored at least 141 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization.

Zhenghong Lin, Qishan Yan, Weiming Liu, Shiping Wang, Menghan Wang, Yanchao Tan, Carl Yang

IEEE Trans. Multim., 2024

LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction.

Hejie Cui, Zhuocheng Shen, Jieyu Zhang, Hui Shao, Lianhui Qin, Joyce C. Ho, Carl Yang

CoRR, 2024

CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.

Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang

CoRR, 2024

Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM.

Hejie Cui, Xinyu Fang, Ran Xu, Xuan Kan, Joyce C. Ho, Carl Yang

CoRR, 2024

MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining.

Yanchao Tan, Hang Lv, Xinyi Huang, Jiawei Zhang, Shiping Wang, Carl Yang

CoRR, 2024

RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records.

Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May D. Wang, Joyce C. Ho, Carl Yang

CoRR, 2024

Are Synthetic Time-series Data Really not as Good as Real Data?

Fanzhe Fu, Junru Chen, Jing Zhang, Carl Yang, Lvbin Ma, Yang Yang

CoRR, 2024

Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes.

Darren Liu, Cheng Ding, Delgersuren Bold, Monique Bouvier, Jiaying Lu, Benjamin Shickel, Craig S. Jabaley, Wenhui Zhang, Soojin Park, Michael J. Young, Mark S. Wainwright, Gilles Clermont, Parisa Rashidi, Eric S. Rosenthal, Laurie Dimisko, Ran Xiao, Joo Heung Yoon, Carl Yang, Xiao Hu

CoRR, 2024

Contrastive Unlearning: A Contrastive Approach to Machine Unlearning.

Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong

CoRR, 2024

EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records.

Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May D. Wang

CoRR, 2024

Deep Efficient Private Neighbor Generation for Subgraph Federated Learning.

Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang

CoRR, 2024

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.

Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao

CoRR, 2024

GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction.

Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning.

Yiqi Dong, Dongxiao He, Xiaobao Wang, Youzhu Jin, Meng Ge, Carl Yang, Di Jin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Weakly Supervised Concept Map Generation Through Task-Guided Graph Translation.

Jiaying Lu, Xiangjue Dong, Carl Yang

IEEE Trans. Knowl. Data Eng., October, 2023

Finding High-Quality Item Attributes for Recommendation.

Xiaolin Zheng, Yanchao Tan, Yan Wang, Xiangyu Wei, Shengjia Zhang, Chaochao Chen, Longfei Li, Carl Yang

IEEE Trans. Knowl. Data Eng., August, 2023

Adversarial Attack and Defense on Graph Data: A Survey.

Lichao Sun, Yingtong Dou, Carl Yang, Kai Zhang, Ji Wang, Philip S. Yu, Lifang He, Bo Li

IEEE Trans. Knowl. Data Eng., August, 2023

Motif-guided heterogeneous graph deep generation.

Chen Ling, Carl Yang, Liang Zhao

Knowl. Inf. Syst., July, 2023

GCN for HIN via Implicit Utilization of Attention and Meta-Paths.

Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han

IEEE Trans. Knowl. Data Eng., April, 2023

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks.

Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang

IEEE Trans. Medical Imaging, February, 2023

Cross-Modal Data Augmentation for Tasks of Different Modalities.

Dong Chen, Yueting Zhuang, Zijin Shen, Carl Yang, Guoming Wang, Siliang Tang, Yi Yang

IEEE Trans. Multim., 2023

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks.

Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, Yang Yang

CoRR, 2023

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.

Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce C. Ho, Carl Yang

CoRR, 2023

Evaluation and Mitigation of Agnosia in Multimodal Large Language Models.

Jiaying Lu, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Baochen Sun, Carl Yang, Jie Yang

CoRR, 2023

Helper Recommendation with seniority control in Online Health Community.

Junruo Gao, Chen Ling, Carl Yang, Liang Zhao

CoRR, 2023

A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises.

Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Chen Ling, Joyce C. Ho, Fei Wang, Carl Yang

CoRR, 2023

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.

Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao

CoRR, 2023

Deep Graph Neural Networks via Flexible Subgraph Aggregation.

Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Di Jin, Carl Yang, Rui Zhang

CoRR, 2023

Federated Node Classification over Graphs with Latent Link-type Heterogeneity.

Han Xie, Li Xiong, Carl Yang

Proceedings of the ACM Web Conference 2023, 2023

Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training.

Ran Xu, Yue Yu, Joyce C. Ho, Carl Yang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting.

Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks.

Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, Yang Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding.

Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting.

Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation.

Zhenghong Lin, Yanchao Tan, Yunfei Zhan, Weiming Liu, Fan Wang, Chaochao Chen, Shiping Wang, Carl Yang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

FedAA: Using Non-sensitive Modalities to Improve Federated Learning while Preserving Image Privacy.

Dong Chen, Siliang Tang, Zijin Shen, Guoming Wang, Jun Xiao, Yueting Zhuang, Carl Yang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications.

Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

R-Mixup: Riemannian Mixup for Biological Networks.

Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

When to Pre-Train Graph Neural Networks? From Data Generation Perspective!

Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Zhang, Chunping Wang, Lei Chen, Yang Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis.

Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Transformer-Based Hierarchical Clustering for Brain Network Analysis.

Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne van Rooij, Carl Yang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Graph Neural Network Modeling of Web Search Activity for Real-time Pandemic Forecasting.

Chen Lin, Jianghong Zhou, Jing Zhang, Carl Yang, Eugene Agichtein

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression.

Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Stover Hertzberg, Carl Yang

Proceedings of the IEEE International Conference on Data Mining, 2023

Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks.

Carl Yang, Jiawei Han

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs.

Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields.

Jiaying Lu, Yongchen Qian, Shifan Zhao, Yuanzhe Xi, Carl Yang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis.

Yi Yang, Hejie Cui, Carl Yang

Proceedings of the Conference on Health, Inference, and Learning, 2023

øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder.

Mingyue Tang, Jiechao Gao, Guimin Dong, Carl Yang, Bradford Campbell, Brendan Bowman, Jamie Marie Zoellner, Emaad Abdel-Rahman, Mehdi Boukhechba

Proceedings of the Conference on Health, Inference, and Learning, 2023

Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis.

Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl Yang

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

PV2TEA: Patching Visual Modality to Textual-Established Information Extraction.

Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Neighborhood-Regularized Self-Training for Learning with Few Labels.

Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark.

Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han

IEEE Trans. Knowl. Data Eng., 2022

Graph Federated Learning with Hidden Representation Sharing.

Shuang Wu, Mingxuan Zhang, Yuantong Li, Carl Yang, Pan Li

CoRR, 2022

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks.

Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

CoRR, 2022

Towards Training Graph Neural Networks with Node-Level Differential Privacy.

Qiuchen Zhang, Jing Ma, Jian Lou, Carl Yang, Li Xiong

CoRR, 2022

A Bird's-Eye Tutorial of Graph Attention Architectures.

Kaustubh D. Dhole, Carl Yang

CoRR, 2022

Partial Relaxed Optimal Transport for Denoised Recommendation.

Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Xiaolin Zheng

CoRR, 2022

Shift-Robust Node Classification via Graph Adversarial Clustering.

Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han

CoRR, 2022

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation.

Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Lichao Sun

CoRR, 2022

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation.

Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang

CoRR, 2022

KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios.

Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data.

Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Structure-Enhanced Heterogeneous Graph Contrastive Learning.

Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Brain Network Transformer.

Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction.

Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR.

Ran Xu, Yue Yu, Chao Zhang, Mohammed K. Ali, Joyce C. Ho, Carl Yang

Proceedings of the Machine Learning for Health, 2022

FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation.

Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis.

Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance.

Carl Yang, Hongwen Song, Mingyue Tang, Leon Danon, Ymir Vigfusson

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning.

Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation.

Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Vicki Hertzberg, Carl Yang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning.

Junru Chen, Yang Yang, Tao Yu, Yingying Fan, Xiaolong Mo, Carl Yang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Structure-Preserving Graph Kernel for Brain Network Classification.

Jun Yu, Zhaoming Kong, Aditya Kendre, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Data-Free Adversarial Knowledge Distillation for Graph Neural Networks.

Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction.

Mingyue Tang, Pan Li, Carl Yang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space.

Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation.

Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Xun Chen, Lichao Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis.

Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation.

Hejie Cui, Jiaying Lu, Yao Ge, Carl Yang

Proceedings of the Advances in Information Retrieval, 2022

The 1st International Workshop on Federated Learning with Graph Data (FedGraph).

Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Partial Relaxed Optimal Transport for Denoised Recommendation.

Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Weiming Liu, Xiaolin Zheng

Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs.

Hejie Cui, Zijie Lu, Pan Li, Carl Yang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract).

Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

Pre-train Graph Neural Networks for Brain Network Analysis (Extended Abstract).

Yi Yang, Hejie Cui, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract).

Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract).

Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

Multi-View Brain Network Analysis with Cross-View Missing Network Generation.

Gongxu Luo, Chenyang Li, Hejie Cui, Lichao Sun, Lifang He, Carl Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Open-World Taxonomy and Knowledge Graph Co-Learning.

Jiaying Lu, Carl Yang

Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

2021

Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning.

Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu

CoRR, 2021

Effective and Interpretable fMRI Analysis via Functional Brain Network Generation.

Xuan Kan, Hejie Cui, Ying Guo, Carl Yang

CoRR, 2021

BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis.

Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang

CoRR, 2021

Controllable Gradient Item Retrieval.

Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He

Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network.

Yuanzhen Xie, Zijing Ou, Liang Chen, Yang Liu, Kun Xu, Carl Yang, Zibin Zheng

Proceedings of the WSDM '21, 2021

Time-Series Event Prediction with Evolutionary State Graph.

Wenjie Hu, Yang Yang, Ziqiang Cheng, Carl Yang, Xiang Ren

Proceedings of the WSDM '21, 2021

Zero-Shot Scene Graph Relation Prediction Through Commonsense Knowledge Integration.

Xuan Kan, Hejie Cui, Carl Yang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization.

Qi Zhu, Carl Yang, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Subgraph Federated Learning with Missing Neighbor Generation.

Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu-Ming Yiu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Federated Graph Classification over Non-IID Graphs.

Han Xie, Jing Ma, Li Xiong, Carl Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation.

Jinming Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract).

Carl Yang, Jieyu Zhang, Jiawei Han

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Secure Deep Graph Generation with Link Differential Privacy.

Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks.

Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Understanding Structural Vulnerability in Graph Convolutional Networks.

Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Deep Generation of Heterogeneous Networks.

Chen Ling, Carl Yang, Liang Zhao

Proceedings of the IEEE International Conference on Data Mining, 2021

Multi-Facet Recommender Networks with Spherical Optimization.

Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Lightweight Visual Question Answering using Scene Graphs.

Sai Vidyaranya Nuthalapati, Ramraj Chandradevan, Eleonora Giunchiglia, Bowen Li, Maxime Kayser, Thomas Lukasiewicz, Carl Yang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Multi-facet graph mining with contextualized projections

Carl Yang

PhD thesis, 2020

Secure Network Release with Link Privacy.

Carl Yang, Haonan Wang, Lichao Sun, Bo Li

CoRR, 2020

Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond.

Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han

CoRR, 2020

cube2net: Efficient Query-Specific Network Construction with Data Cube Organization.

Carl Yang, Mengxiong Liu, Frank He, Jian Peng, Jiawei Han

CoRR, 2020

Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders.

Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization.

Carl Yang, Jieyu Zhang, Haonan Wang, Bangzheng Li, Jiawei Han

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines.

Yang Liu, Xianzhuo Xia, Liang Chen, Xiangnan He, Carl Yang, Zibin Zheng

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks.

Carl Yang, Aditya Pal, Andrew Zhai, Nikil Pancha, Jiawei Han, Charles Rosenberg, Jure Leskovec

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Unsupervised Differentiable Multi-aspect Network Embedding.

Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

When Do GNNs Work: Understanding and Improving Neighborhood Aggregation.

Yiqing Xie, Sha Li, Carl Yang, Raymond Chi-Wing Wong, Jiawei Han

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks.

Carl Yang, Jieyu Zhang, Jiawei Han

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities.

Yingkui Wang, Di Jin, Carl Yang, Jianwu Dang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Graph Clustering with Embedding Propagation.

Carl Yang, Liyuan Liu, Mengxiong Liu, Zongyi Wang, Chao Zhang, Jiawei Han

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining.

Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han

CoRR, 2019

Place Deduplication with Embeddings.

Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han

Proceedings of the World Wide Web Conference, 2019

Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness.

Carl Yang, Kevin Chang

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription.

Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Conditional Structure Generation through Graph Variational Generative Adversarial Nets.

Carl Yang, Peiye Zhuang, Wenhan Shi, Alan Luu, Pan Li

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

RASE: Relationship Aware Social Embedding.

Aravind Sankar, Adit Krishnan, Zongjian He, Carl Yang

Proceedings of the International Joint Conference on Neural Networks, 2019

Neural Embedding Propagation on Heterogeneous Networks.

Carl Yang, Jieyu Zhang, Jiawei Han

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

cube2net: Efficient Query-Specific Network Construction with Data Cube Organization.

Carl Yang, Jiawei Han

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Query-Specific Knowledge Summarization with Entity Evolutionary Networks.

Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Non-local Attention Learning on Large Heterogeneous Information Networks.

Yuxin Xiao, Zecheng Zhang, Carl Yang, Chengxiang Zhai

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Higher-Order Clustering in Heterogeneous Information Networks.

Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han

CoRR, 2018

mvn2vec: Preservation and Collaboration in Multi-View Network Embedding.

Yu Shi, Fangqiu Han, Xinran He, Carl Yang, Jie Luo, Jiawei Han

CoRR, 2018

Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery.

Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application.

Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights.

Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han

Proceedings of the IEEE International Conference on Data Mining, 2018

Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding.

Carl Yang, Chao Zhang, Xuewen Chen, Jieping Ye, Jiawei Han

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Node, Motif and Subgraph: Leveraging Network Functional Blocks Through Structural Convolution.

Carl Yang, Mengxiong Liu, Vincent W. Zheng, Jiawei Han

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach.

Chao Zhang, Mengxiong Liu, Zhengchao Liu, Carl Yang, Luming Zhang, Jiawei Han

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Graph Clustering with Dynamic Embedding.

Carl Yang, Mengxiong Liu, Zongyi Wang, Liyuan Liu, Jiawei Han

CoRR, 2017

CONE: Community Oriented Network Embedding.

Carl Yang, Hanqing Lu, Kevin Chen-Chuan Chang

CoRR, 2017

Bi-directional Joint Inference for User Links and Attributes on Large Social Graphs.

Carl Yang, Lin Zhong, Li-Jia Li, Luo Jie

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation.

Carl Yang, Lanxiao Bai, Chao Zhang, Quan Yuan, Jiawei Han

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017