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Carl Yang | Homepage
source link: http://www.cs.emory.edu/~jyang71/
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Selected Publications
Since 2021
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Data-Free Adversarial Knowledge Distillation for Graph Neural Networks
Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2022. -
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
arXiv 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 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 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 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022. ICML-CA2MH 2021 Version -
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 and Xiaolin Zheng
Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR), 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
Workshop on Federated Learning for Natural Language Processing: The Annual Meeting of the Association for Computational Linguistics (FL4NLP-ACL), 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 (MIDL), 2022. ICML-IMLH 2021 Version -
Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction
Carl Yang*, Mingyue Tang*, Pan Li
Proceedings of the International Conference on Learning Representations (ICLR), 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 International World Wide Web Conference (WWW), 2022. -
Structure-Preserving Graph Kernel for Brain Network Classification
Zhaoming Kong, Aditya Kendre, Jun Yu, Hao Peng, Carl Yang, Lichao Sun, Alex Leow, Lifang He
Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), 2022. -
Structure-Enhanced Heterogeneous Graph Contrastive Learning
Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu
Proceedings of the SIAM International Conference on Data Mining (SDM), 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 European Conference on Information Retrieval (ECIR), 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 IEEE International Conference on Data Engineering (ICDE), 2022. -
Subgraph Federated Learning with Missing Neighbor Generation
Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu Ming Yiu
Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), 2021 (Spotlight, 3%). arXiv 2021 | Code -
Federated Graph Classification over Non-IID Graphs
Han Xie, Jing Ma, Li Xiong, Carl Yang
Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), 2021. arXiv 2021 | Code -
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Carl Yang*, Qi Zhu*, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han
Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), 2021. arXiv 2020 | Code -
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation
Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Wang Li
Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), 2021. -
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Carl Yang, Han Xie, Lichao Sun, Lifang He, Liangwei Yang, Philip S. Yu, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr
Workshop on Distributed and Private Machine Learning: The International Conference on Learning Representations (DPML-ICLR), 2021. -
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 Transactions on Knowledge and Data Engineering (TKDE), 2021. arXiv 2021 | Early Access -
Deep Generation of Heterogeneous Networks
Chen Ling, Carl Yang, Liang Zhao
Proceedings of the IEEE International Conference on Data Mining (ICDM), 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 ACM International Conference on Information and Knowledge Management (CIKM), 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
Workshop on Interpretable Machine Learning in Healthcare: The International Conference on Machine Learning (ICML-IMLH), 2021. -
On Positional and Structural Node Features for Graph Neural Networks on Non-Attributed Graphs
Hejie Cui*, Zijie Lu*, Pan Li, Carl Yang
Workshop on Deep Learning on Graphs: The ACM International Conference on Knowledge Discovery and Data Mining (KDD-DLG), 2021. -
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration
Xuan Kan, Hejie Cui, Carl Yang
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2021. -
Secure Deep Graph Generation with Link Differential Privacy
Carl Yang, Haonan Wang*, Ke Zhang*, Liang Chen, Lichao Sun
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2021. arXiv 2020 | Supplement | Code -
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks
Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip Yu, Lifang He
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2021. -
Understanding Structural Vulnerability in Graph Convolutional Networks
Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2021. -
Controllable Gradient Item Retrieval
Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He
Proceedings of the International World Wide Web Conference (WWW), 2021. -
Time-Series Event Prediction with Evolutionary State Graph
Wenjie Hu, Yang Yang, Ziqiang Cheng, Carl Yang, Xiang Ren
Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM), 2021. Demo -
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 ACM International Conference on Web Search and Data Mining (WSDM), 2021. -
Multi-Facet Recommender Networks with Spherical Optimization
Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng
Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2021.
Before 2021 (Ph.D. graduation)
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Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks
Carl Yang, Jieyu Zhang, Jiawei Han
Proceedings of the IEEE International Conference on Data Mining (ICDM), Best Paper Award, 2020 (1 out from 930 submissions). Extended abstract featured at IJCAI-21 (Sister Conferences Best Papers) | Code -
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark
Carl Yang*, Yuxin Xiao*, Yu Zhang*, Yizhou Sun, Jiawei Han
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. arXiv 2020 | Early Access | Code & Data -
MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks
Carl Yang, Aditya Pal, Andrew Zhai, Nikil Pancha, Jiawei Han, Chuck Rosenberg, Jure Leskovec
Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining (KDD), 2020 (AR 16%, Oral 5.8%). -
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 ACM International Conference on Research and Development in Information Retrieval (SIGIR), 2020 (AR 26%). Code -
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders
Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matthew Walker, Yiou Xiao, Jiawei Han
Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM), 2020 (AR 15%). Code -
Conditional Structure Generation through Graph Variational Generative Adversarial Nets
Carl Yang, Peiye Zhuang, Wenhan Shi, Alan Luu, Pan Li
Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), 2019 (AR 21%). Supplement | Slides | Poster | Code -
cube2net: Efficient Quality Network Construction with Data Cube Organization
Carl Yang, Mengxiong Liu, Frank He, Jian Peng, Jiawei Han
Proceedings of the IEEE International Conference on Data Mining (ICDM), 2019, PhD Forum. Full paper | Code -
Neural Embedding Propagation on Heterogeneous Networks
Carl Yang*, Jieyu Zhang*, Jiawei Han
Proceedings of the IEEE International Conference on Data Mining (ICDM), 2019 (AR 9%). Code -
Query-Specific Knowledge Summarization with Entity Evolutionary Networks
Carl Yang*, Lingrui Gan*, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han
Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), 2019 (AR 21%). Code -
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 Kaplan, Timothy Haratty, Jiawei Han
Demo in the ACM International Conference on Knowledge Discovery and Data Mining (KDD), 2019. Code -
Place Deduplication with Embeddings
Carl Yang, Do Huy Hoang, Tomas Mikolov, Jiawei Han
Proceedings of the International World Wide Web Conference (WWW), 2019 (AR 20%). Code -
Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness
Carl Yang, Kevin Chang
Proceedings of the SIAM International Conference on Data Mining (SDM), 2019 (AR 23%). Supplement | Code -
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 (ICDM), 2018 (AR 9%). Code -
Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery
Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2018 (AR 26%). Supplement | Code -
Node, Motif and Subgraph: Learning Network Functional Blocks Through Structural Convolution
Carl Yang, Mengxiong Liu, Vincent Zheng, Jiawei Han
TProceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018 (AR 15%). Code -
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 ACM International Conference on Knowledge Discovery and Data Mining (KDD), 2018 (AR 8%). Code | Media -
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 IEEE International Conference on Data Engineering (ICDE), 2018 (AR 16%). Code -
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 ACM International Conference on Knowledge Discovery and Data Mining (KDD), 2017 (AR 18%). Code -
Bi-directional Joint Inference for User Links and Attributes on Large Social Graphs
Carl Yang, Zhong Lin, Li-Jia Li, Luo Jie
Proceedings of the International World Wide Web Conference (WWW), 2017 (AR 17%). Code -
Graph Clustering with Embedding Propagation
Carl Yang, Liyuan Liu, Mengxiong Liu, Zongyi Wang, Chao Zhang, Jiawei Han
Proceedings of the IEEE International Conference on Big Data (BigData), 2020 (AR 15.5%) (arXiv, 2017). Code | arXiv 2017 -
CONE: Community Oriented Network Embedding
Carl Yang, Hanqing Lu, Kevin Chang
Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2018, (arXiv, 2017). Code | arXiv 2017 -
Multi-Query Parallel Field Ranking for Image Retrieval
Ji Yang, Bin Xu, Binbin Lin, Xiaofei He
Neurocomputing, 2014. -
Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities
Yingkui Wang, Di Jin, Carl Yang, Jianwu Dang
Proceedings of the IEEE International Conference on Data Mining (ICDM), 2020. -
Unsupervised Differentiable Multi-aspect Network Embedding
Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han
Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining (KDD), 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 ACM International Conference on Research and Development in Information Retrieval (SIGIR), 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 International Joint Conference on Artificial Intelligence (IJCAI), 2020. -
DAPred: Dynamic Attention Location Prediction with Long-Short Term Movement Regularity
Jiayi Liu, Quan Yuan, Carl Yang, He Huang, Chao Zhang, Philip Yu
Proceedings of the AAAI International Conference on Innovative Applications of Artificial Intelligence (IAAI), 2020. -
Non-local Attention Learning on Large Heterogeneous Information Networks
Yuxin Xiao, Zecheng Zhang, Carl Yang, ChengXiang Zhai
Proceedings of the IEEE International Conference on Big Data (BigData), 2019. -
RASE: Relationship Aware Social Embedding
Aravind Sankar, Adit Krishnan, Zongjian He, Carl Yang
Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2019. -
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding
Yu Shi, Fangqiu Han, Xinwei He, Carl Yang, Luo Jie, Jiawei Han
IEEE Transactions on Knowledge and Data Engineering (TKDE), 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 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2019. -
SetSearch+: Entity-Set-Aware Search and Mining for Scientific Literature
Jiaming Shen, Jinfeng Xiao, Yu Zhang, Carl Yang, Jingbo Shang, Jinda Han, Saurabh Sinha, Peipei Ping, Richard Weinshilboum, Zhiyong Lu, Jiawei Han
Demo in the ACM International Conference on Knowledge Discovery and Data Mining (KDD), 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 AAAI International Conference on Artificial Intelligence (AAAI), 2018. -
Geodesic Distance Function Learning via Heat Flows on Vector Fields
Binbin Lin, Ji Yang, Xiaofei He, Jieping Ye
Proceedings of the International Conference on Machine Learning (ICML), 2014. Code -
Local Coordinate Concept Factorization for Image Representation
Haifeng Liu, Zheng Yang, Ji Yang, Zhaohui Wu, Xuelong Li
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2014.
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