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ORCIDCarl Yang 0001
Carl Ji Yang – 阳及
Person information
- unicode name: 阳及
- affiliation: Emory University, Department of Computer Science, Atlanta, GA, USA
- affiliation (PhD 2020): University of Illinois at Urbana-Champaign, Urbana, IL, USA
Other persons with the same name
- Carl Yang 0002
![[0000-0002-4357-0906]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4357-0906")
(aka: Carl Yue Yang) — University of California Davis, Electrical and Computer Engineering Department, Davis, CA, USA (and 1 more)
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Books and Theses
- 2020
[b1]Carl Yang:
Multi-facet graph mining with contextualized projections. University of Illinois Urbana-Champaign, USA, 2020
Journal Articles
- 2024
- [j9]Zhenghong Lin, Qishan Yan, Weiming Liu, Shiping Wang, Menghan Wang, Yanchao Tan, Carl Yang:
Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization. IEEE Trans. Multim. 26: 5680-5693 (2024) - 2023
- [j8]Chen Ling, Carl Yang, Liang Zhao:
Motif-guided heterogeneous graph deep generation. Knowl. Inf. Syst. 65(7): 3099-3124 (2023) - [j7]Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han:
GCN for HIN via Implicit Utilization of Attention and Meta-Paths. IEEE Trans. Knowl. Data Eng. 35(4): 3925-3937 (2023) - [j6]Lichao Sun, Yingtong Dou, Carl Yang, Kai Zhang, Ji Wang, Philip S. Yu, Lifang He, Bo Li:
Adversarial Attack and Defense on Graph Data: A Survey. IEEE Trans. Knowl. Data Eng. 35(8): 7693-7711 (2023) - [j5]Xiaolin Zheng, Yanchao Tan, Yan Wang, Xiangyu Wei, Shengjia Zhang, Chaochao Chen, Longfei Li, Carl Yang:
Finding High-Quality Item Attributes for Recommendation. IEEE Trans. Knowl. Data Eng. 35(8): 7980-7993 (2023) - [j4]Jiaying Lu, Xiangjue Dong, Carl Yang:
Weakly Supervised Concept Map Generation Through Task-Guided Graph Translation. IEEE Trans. Knowl. Data Eng. 35(10): 10871-10883 (2023) - [j3]Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang:
BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks. IEEE Trans. Medical Imaging 42(2): 493-506 (2023) - [j2]Dong Chen, Yueting Zhuang, Zijin Shen, Carl Yang, Guoming Wang, Siliang Tang, Yi Yang:
Cross-Modal Data Augmentation for Tasks of Different Modalities. IEEE Trans. Multim. 25: 7814-7824 (2023) - 2022
- [j1]Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han:
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark. IEEE Trans. Knowl. Data Eng. 34(10): 4854-4873 (2022)
Conference and Workshop Papers
- 2024
- [c98]Yiqi Dong, Dongxiao He, Xiaobao Wang, Youzhu Jin, Meng Ge, Carl Yang, Di Jin:
Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning. AAAI 2024: 8354-8362 - [c97]Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li:
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction. WSDM 2024: 576-585 - [c96]Hang Lv, Zehai Chen, Yacong Yang, Guofang Ma, Yanchao Tan, Carl Yang:
BoxCare: A Box Embedding Model for Disease Representation and Diagnosis Prediction in Healthcare Data. WWW (Companion Volume) 2024: 1130-1133 - [c95]Jiaying Lu, Shifan Zhao, Wenjing Ma, Hui Shao, Xiao Hu, Yuanzhe Xi, Carl Yang:
Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process. WWW (Companion Volume) 2024: 1162-1165 - [c94]Yanchao Tan, Hengyu Zhang, Zihao Zhou, Guofang Ma, Fan Wang, Weiming Liu, Xinting Liao, Vicki Stover Hertzberg, Carl Yang:
Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows. WWW (Companion Volume) 2024: 1166-1169 - [c93]Qiuchen Zhang, Hong-Kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong:
DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy. WWW 2024: 1170-1181 - 2023
- [c92]Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang:
Neighborhood-Regularized Self-Training for Learning with Few Labels. AAAI 2023: 10611-10619 - [c91]Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li:
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. ACL (Findings) 2023: 2026-2041 - [c90]Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl Yang:
Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis. BHI 2023: 1-4 - [c89]Mingyue Tang, Jiechao Gao, Guimin Dong, Carl Yang, Bradford Campbell, Brendan Bowman, Jamie Marie Zoellner, Emaad Abdel-Rahman, Mehdi Boukhechba:
øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder. CHIL 2023: 133-146 - [c88]Yi Yang, Hejie Cui, Carl Yang:
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis. CHIL 2023: 526-544 - [c87]Jiaying Lu, Yongchen Qian, Shifan Zhao, Yuanzhe Xi, Carl Yang:
MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields. EMNLP (Findings) 2023: 5332-5346 - [c86]Carl Yang, Jiawei Han:
Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks. ICDE 2023: 682-695 - [c85]Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang:
Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. ICDE 2023: 1597-1610 - [c84]Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Stover Hertzberg, Carl Yang:
Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression. ICDM 2023: 1349-1354 - [c83]Chen Lin, Jianghong Zhou, Jing Zhang, Carl Yang, Eugene Agichtein:
Graph Neural Network Modeling of Web Search Activity for Real-time Pandemic Forecasting. ICHI 2023: 128-137 - [c82]Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne van Rooij, Carl Yang:
Transformer-Based Hierarchical Clustering for Brain Network Analysis. ISBI 2023: 1-5 - [c81]Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang:
Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. ISBI 2023: 1-5 - [c80]Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Zhang, Chunping Wang, Lei Chen, Yang Yang:
When to Pre-Train Graph Neural Networks? From Data Generation Perspective! KDD 2023: 142-153 - [c79]Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang:
R-Mixup: Riemannian Mixup for Biological Networks. KDD 2023: 1073-1085 - [c78]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:
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. KDD 2023: 5270-5281 - [c77]Dong Chen, Siliang Tang, Zijin Shen, Guoming Wang, Jun Xiao, Yueting Zhuang, Carl Yang:
FedAA: Using Non-sensitive Modalities to Improve Federated Learning while Preserving Image Privacy. ACM Multimedia 2023: 3796-3806 - [c76]Zhenghong Lin, Yanchao Tan, Yunfei Zhan, Weiming Liu, Fan Wang, Chaochao Chen, Shiping Wang, Carl Yang:
Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation. ACM Multimedia 2023: 6234-6242 - [c75]Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang:
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting. NeurIPS 2023 - [c74]Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang:
WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding. NeurIPS 2023 - [c73]Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, Yang Yang:
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks. NeurIPS 2023 - [c72]Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang:
HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. SIGIR 2023: 2052-2056 - [c71]Ran Xu, Yue Yu, Joyce C. Ho, Carl Yang:
Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training. SIGIR 2023: 2501-2505 - [c70]Han Xie, Li Xiong, Carl Yang:
Federated Node Classification over Graphs with Latent Link-type Heterogeneity. WWW 2023: 556-566 - 2022
- [c69]Jiaying Lu, Carl Yang:
Open-World Taxonomy and Knowledge Graph Co-Learning. AKBC 2022 - [c68]Gongxu Luo, Chenyang Li, Hejie Cui, Lichao Sun, Lifang He, Carl Yang:
Multi-View Brain Network Analysis with Cross-View Missing Network Generation. BIBM 2022: 108-115 - [c67]Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang:
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract). IEEE Big Data 2022: 4968-4969 - [c66]Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Carl Yang:
Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract). IEEE Big Data 2022: 4970-4971 - [c65]Yi Yang, Hejie Cui, Carl Yang:
Pre-train Graph Neural Networks for Brain Network Analysis (Extended Abstract). IEEE Big Data 2022: 4993-4994 - [c64]Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang:
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). IEEE Big Data 2022: 4995-4996 - [c63]Hejie Cui, Zijie Lu, Pan Li, Carl Yang:
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. CIKM 2022: 3898-3902 - [c62]Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Weiming Liu, Xiaolin Zheng:
Partial Relaxed Optimal Transport for Denoised Recommendation. DL4SR@CIKM 2022 - [c61]Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr:
The 1st International Workshop on Federated Learning with Graph Data (FedGraph). CIKM 2022: 5179-5180 - [c60]Hejie Cui, Jiaying Lu, Yao Ge, Carl Yang:
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation. ECIR (2) 2022: 75-83 - [c59]Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang:
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. EMBC 2022: 272-276 - [c58]Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Xun Chen, Lichao Sun:
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. EMNLP (Findings) 2022: 613-621 - [c57]Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng:
Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. ICDE 2022: 1180-1192 - [c56]Mingyue Tang, Pan Li, Carl Yang:
Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction. ICLR 2022 - [c55]Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun:
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. IJCAI 2022: 2441-2447 - [c54]Jun Yu, Zhaoming Kong, Aditya Kendre, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He:
Structure-Preserving Graph Kernel for Brain Network Classification. ISBI 2022: 1-5 - [c53]Junru Chen, Yang Yang, Tao Yu, Yingying Fan, Xiaolong Mo, Carl Yang:
BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning. KDD 2022: 2741-2751 - [c52]Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Vicki Hertzberg, Carl Yang:
4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. KDD 2022: 3970-3980 - [c51]Carl Yang, Hongwen Song, Mingyue Tang, Leon Danon, Ymir Vigfusson:
Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance. KDD 2022: 4733-4742 - [c50]Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang:
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. KDD 2022: 4743-4751 - [c49]Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang:
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. MICCAI (8) 2022: 375-385 - [c48]Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang:
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation. MIDL 2022: 618-637 - [c47]Ran Xu, Yue Yu, Chao Zhang, Mohammed K. Ali, Joyce C. Ho, Carl Yang:
Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR. ML4H@NeurIPS 2022: 259-278 - [c46]Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han:
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. NAACL-HLT 2022: 2395-2409 - [c45]Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang:
Brain Network Transformer. NeurIPS 2022 - [c44]Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu:
Structure-Enhanced Heterogeneous Graph Contrastive Learning. SDM 2022: 82-90 - [c43]Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng:
MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. SIGIR 2022: 449-459 - [c42]Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han:
KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. WWW 2022: 1301-1310 - 2021
- [c41]Sai Vidyaranya Nuthalapati, Ramraj Chandradevan, Eleonora Giunchiglia, Bowen Li, Maxime Kayser, Thomas Lukasiewicz, Carl Yang:
Lightweight Visual Question Answering using Scene Graphs. CIKM 2021: 3353-3357 - [c40]Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng:
Multi-Facet Recommender Networks with Spherical Optimization. ICDE 2021: 1524-1535 - [c39]Chen Ling, Carl Yang, Liang Zhao:
Deep Generation of Heterogeneous Networks. ICDM 2021: 379-388 - [c38]Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang:
Understanding Structural Vulnerability in Graph Convolutional Networks. IJCAI 2021: 2249-2255 - [c37]Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He:
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. IJCAI 2021: 2767-2774 - [c36]Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun:
Secure Deep Graph Generation with Link Differential Privacy. IJCAI 2021: 3271-3278 - [c35]Carl Yang, Jieyu Zhang, Jiawei Han:
TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract). IJCAI 2021: 4859-4863 - [c34]Qi Zhu, Carl Yang, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han:
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. NeurIPS 2021: 1766-1779 - [c33]Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu-Ming Yiu:
Subgraph Federated Learning with Missing Neighbor Generation. NeurIPS 2021: 6671-6682 - [c32]Jinming Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang:
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. NeurIPS 2021: 10524-10534 - [c31]Han Xie, Jing Ma, Li Xiong, Carl Yang:
Federated Graph Classification over Non-IID Graphs. NeurIPS 2021: 18839-18852 - [c30]Xuan Kan, Hejie Cui, Carl Yang:
Zero-Shot Scene Graph Relation Prediction Through Commonsense Knowledge Integration. ECML/PKDD (2) 2021: 466-482 - [c29]Yuanzhen Xie, Zijing Ou, Liang Chen, Yang Liu, Kun Xu, Carl Yang, Zibin Zheng:
Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network. WSDM 2021: 184-192 - [c28]Wenjie Hu, Yang Yang, Ziqiang Cheng, Carl Yang, Xiang Ren:
Time-Series Event Prediction with Evolutionary State Graph. WSDM 2021: 580-588 - [c27]Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He:
Controllable Gradient Item Retrieval. WWW 2021: 768-777 - 2020
- [c26]Carl Yang, Liyuan Liu, Mengxiong Liu, Zongyi Wang, Chao Zhang, Jiawei Han:
Graph Clustering with Embedding Propagation. IEEE BigData 2020: 858-867 - [c25]Yingkui Wang, Di Jin, Carl Yang, Jianwu Dang:
Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities. ICDM 2020: 611-620 - [c24]Carl Yang, Jieyu Zhang, Jiawei Han:
Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks. ICDM 2020: 721-730 - [c23]Yiqing Xie, Sha Li, Carl Yang, Raymond Chi-Wing Wong, Jiawei Han:
When Do GNNs Work: Understanding and Improving Neighborhood Aggregation. IJCAI 2020: 1303-1309 - [c22]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. KDD 2020: 1435-1445 - [c21]Carl Yang, Aditya Pal, Andrew Zhai, Nikil Pancha, Jiawei Han, Charles Rosenberg, Jure Leskovec:
MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. KDD 2020: 2434-2443 - [c20]Yang Liu, Xianzhuo Xia, Liang Chen, Xiangnan He, Carl Yang, Zibin Zheng:
Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines. SIGIR 2020: 419-428 - [c19]Carl Yang, Jieyu Zhang, Haonan Wang, Bangzheng Li, Jiawei Han:
Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization. SIGIR 2020: 1629-1632 - [c18]Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han:
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. WSDM 2020: 699-707 - 2019
- [c17]Yuxin Xiao, Zecheng Zhang, Carl Yang, Chengxiang Zhai:
Non-local Attention Learning on Large Heterogeneous Information Networks. IEEE BigData 2019: 978-987 - [c16]Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han:
Query-Specific Knowledge Summarization with Entity Evolutionary Networks. CIKM 2019: 2121-2124 - [c15]Carl Yang, Jieyu Zhang, Jiawei Han:
Neural Embedding Propagation on Heterogeneous Networks. ICDM 2019: 698-707 - [c14]Carl Yang, Jiawei Han:
cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. ICDM Workshops 2019: 1088-1089 - [c13]Aravind Sankar, Adit Krishnan, Zongjian He, Carl Yang:
RASE: Relationship Aware Social Embedding. IJCNN 2019: 1-8 - [c12]Carl Yang, Peiye Zhuang, Wenhan Shi, Alan Luu, Pan Li:
Conditional Structure Generation through Graph Variational Generative Adversarial Nets. NeurIPS 2019: 1338-1349 - [c11]Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han:
User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription. ECML/PKDD (1) 2019: 361-377 - [c10]Carl Yang, Kevin Chang:
Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness. SDM 2019: 342-350 - [c9]Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han:
Place Deduplication with Embeddings. WWW 2019: 3420-3426 - 2018
- [c8]Chao Zhang, Mengxiong Liu, Zhengchao Liu, Carl Yang, Luming Zhang, Jiawei Han:
Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach. AAAI 2018: 531-538 - [c7]Carl Yang, Mengxiong Liu, Vincent W. Zheng, Jiawei Han:
Node, Motif and Subgraph: Leveraging Network Functional Blocks Through Structural Convolution. ASONAM 2018: 47-52 - [c6]Carl Yang, Chao Zhang, Xuewen Chen, Jieping Ye, Jiawei Han:
Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding. ICDE 2018: 1392-1403 - [c5]Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han:
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. ICDM 2018: 657-666 - [c4]Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han:
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. KDD 2018: 914-922 - [c3]Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han:
Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. ECML/PKDD (2) 2018: 37-54 - 2017
- [c2]Carl Yang, Lanxiao Bai, Chao Zhang, Quan Yuan, Jiawei Han:
Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation. KDD 2017: 1245-1254 - [c1]Carl Yang, Lin Zhong, Li-Jia Li, Luo Jie:
Bi-directional Joint Inference for User Links and Attributes on Large Social Graphs. WWW (Companion Volume) 2017: 564-573
Informal and Other Publications
- 2024
- [i82]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:
Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models. CoRR abs/2401.00625 (2024) - [i81]Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang:
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. CoRR abs/2401.04336 (2024) - [i80]Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May D. Wang:
EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. CoRR abs/2401.07128 (2024) - [i79]Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong:
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. CoRR abs/2401.10458 (2024) - [i78]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:
Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes. CoRR abs/2401.13588 (2024) - [i77]Fanzhe Fu, Junru Chen, Jing Zhang, Carl Yang, Lvbin Ma, Yang Yang:
Are Synthetic Time-series Data Really not as Good as Real Data? CoRR abs/2402.00607 (2024) - [i76]Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May D. Wang, Joyce C. Ho, Carl Yang:
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. CoRR abs/2403.00815 (2024) - [i75]Yanchao Tan, Hang Lv, Xinyi Huang, Jiawei Zhang, Shiping Wang, Carl Yang:
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining. CoRR abs/2403.04780 (2024) - [i74]Hejie Cui, Xinyu Fang, Ran Xu, Xuan Kan, Joyce C. Ho, Carl Yang:
Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM. CoRR abs/2403.08818 (2024) - [i73]Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang:
CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. CoRR abs/2403.11960 (2024) - [i72]Hejie Cui, Zhuocheng Shen, Jieyu Zhang, Hui Shao, Lianhui Qin, Joyce C. Ho, Carl Yang:
LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction. CoRR abs/2403.15464 (2024) - 2023
- [i71]Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang:
Neighborhood-Regularized Self-Training for Learning with Few Labels. CoRR abs/2301.03726 (2023) - [i70]Jiaying Lu, Yongchen Qian, Shifan Zhao, Yuanzhe Xi, Carl Yang:
MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields. CoRR abs/2302.02978 (2023) - [i69]Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang:
HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. CoRR abs/2304.05973 (2023) - [i68]Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne van Rooij, Carl Yang:
Transformer-Based Hierarchical Clustering for Brain Network Analysis. CoRR abs/2305.04142 (2023) - [i67]Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Di Jin, Carl Yang, Rui Zhang:
Deep Graph Neural Networks via Flexible Subgraph Aggregation. CoRR abs/2305.05368 (2023) - [i66]Yi Yang, Hejie Cui, Carl Yang:
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis. CoRR abs/2305.14376 (2023) - [i65]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:
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. CoRR abs/2305.18703 (2023) - [i64]Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li:
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. CoRR abs/2306.01016 (2023) - [i63]Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li:
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction. CoRR abs/2306.01951 (2023) - [i62]Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang:
R-Mixup: Riemannian Mixup for Biological Networks. CoRR abs/2306.02532 (2023) - [i61]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:
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. CoRR abs/2306.02592 (2023) - [i60]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:
A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises. CoRR abs/2306.04802 (2023) - [i59]Ran Xu, Yue Yu, Joyce C. Ho, Carl Yang:
Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training. CoRR abs/2306.07193 (2023) - [i58]Junru Chen, Yang Yang, Tao Yu, Yingying Fan, Xiaolong Mo, Carl Yang:
BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning. CoRR abs/2306.13101 (2023) - [i57]Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl Yang:
Dynamic Brain Transformer with Multi-level Attention for Functional Brain Network Analysis. CoRR abs/2309.01941 (2023) - [i56]Junruo Gao, Chen Ling, Carl Yang, Liang Zhao:
Helper Recommendation with seniority control in Online Health Community. CoRR abs/2309.02978 (2023) - [i55]Jiaying Lu, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Baochen Sun, Carl Yang, Jie Yang:
Evaluation and Mitigation of Agnosia in Multimodal Large Language Models. CoRR abs/2309.04041 (2023) - [i54]Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang:
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting. CoRR abs/2310.18804 (2023) - [i53]Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce C. Ho, Carl Yang:
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. CoRR abs/2311.00287 (2023) - [i52]Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, Yang Yang:
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks. CoRR abs/2311.01038 (2023) - 2022
- [i51]Hejie Cui, Jiaying Lu, Yao Ge, Carl Yang:
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation. CoRR abs/2201.04672 (2022) - [i50]Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang:
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. CoRR abs/2202.07253 (2022) - [i49]Mingyue Tang, Carl Yang, Pan Li:
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction. CoRR abs/2202.09025 (2022) - [i48]Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Lichao Sun:
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. CoRR abs/2203.09553 (2022) - [i47]Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han:
Shift-Robust Node Classification via Graph Adversarial Clustering. CoRR abs/2203.15802 (2022) - [i46]Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang:
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks. CoRR abs/2204.07054 (2022) - [i45]Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Xiaolin Zheng:
Partial Relaxed Optimal Transport for Denoised Recommendation. CoRR abs/2204.08619 (2022) - [i44]Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun:
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. CoRR abs/2205.03811 (2022) - [i43]Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang:
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation. CoRR abs/2205.12465 (2022) - [i42]Kaustubh D. Dhole, Carl Yang:
A Bird's-Eye Tutorial of Graph Attention Architectures. CoRR abs/2206.02849 (2022) - [i41]Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang:
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. CoRR abs/2206.04486 (2022) - [i40]Chen Ling, Carl Yang, Liang Zhao:
Deep Generation of Heterogeneous Networks. CoRR abs/2206.12336 (2022) - [i39]Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang:
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. CoRR abs/2207.00813 (2022) - [i38]Qiuchen Zhang, Jing Ma, Jian Lou, Carl Yang, Li Xiong:
Towards Training Graph Neural Networks with Node-Level Differential Privacy. CoRR abs/2210.04442 (2022) - [i37]Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang:
Brain Network Transformer. CoRR abs/2210.06681 (2022) - [i36]Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang:
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks. CoRR abs/2211.00261 (2022) - [i35]Shuang Wu, Mingxuan Zhang, Yuantong Li, Carl Yang, Pan Li:
Graph Federated Learning with Hidden Representation Sharing. CoRR abs/2212.12158 (2022) - 2021
- [i34]Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng:
Multi-Facet Recommender Networks with Spherical Optimization. CoRR abs/2103.14866 (2021) - [i33]Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He:
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. CoRR abs/2105.03178 (2021) - [i32]Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He:
Controllable Gradient Item Retrieval. CoRR abs/2106.00062 (2021) - [i31]Han Xie, Jing Ma, Li Xiong, Carl Yang:
Federated Graph Classification over Non-IID Graphs. CoRR abs/2106.13423 (2021) - [i30]Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu-Ming Yiu:
Subgraph Federated Learning with Missing Neighbor Generation. CoRR abs/2106.13430 (2021) - [i29]Hejie Cui, Zijie Lu, Pan Li, Carl Yang:
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. CoRR abs/2107.01495 (2021) - [i28]Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang:
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. CoRR abs/2107.03220 (2021) - [i27]Xuan Kan, Hejie Cui, Carl Yang:
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration. CoRR abs/2107.05080 (2021) - [i26]Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang:
BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis. CoRR abs/2107.05097 (2021) - [i25]Xuan Kan, Hejie Cui, Ying Guo, Carl Yang:
Effective and Interpretable fMRI Analysis via Functional Brain Network Generation. CoRR abs/2107.11247 (2021) - [i24]Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang:
Understanding Structural Vulnerability in Graph Convolutional Networks. CoRR abs/2108.06280 (2021) - [i23]Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu:
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning. CoRR abs/2108.13886 (2021) - [i22]Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han:
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. CoRR abs/2109.12093 (2021) - [i21]Jiaying Lu, Xiangjue Dong, Carl Yang:
Weakly Supervised Concept Map Generation through Task-Guided Graph Translation. CoRR abs/2110.15720 (2021) - [i20]Zhaoming Kong, Aditya Kendre, Jun Yu, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He:
Structure-Preserving Graph Kernel for Brain Network Classification. CoRR abs/2111.10803 (2021) - 2020
- [i19]Carl Yang, Mengxiong Liu, Frank He, Jian Peng, Jiawei Han:
cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. CoRR abs/2002.00841 (2020) - [i18]Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han:
Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond. CoRR abs/2004.00216 (2020) - [i17]Carl Yang, Haonan Wang, Lichao Sun, Bo Li:
Secure Network Release with Link Privacy. CoRR abs/2005.00455 (2020) - [i16]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. CoRR abs/2006.04239 (2020) - [i15]Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han:
GCN for HIN via Implicit Utilization of Attention and Meta-paths. CoRR abs/2007.02643 (2020) - [i14]Qi Zhu, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han, Carl Yang:
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. CoRR abs/2009.05204 (2020) - 2019
- [i13]Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han:
Query-Specific Knowledge Summarization with Entity Evolutionary Networks. CoRR abs/1909.13183 (2019) - [i12]Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han:
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. CoRR abs/1910.00004 (2019) - [i11]Carl Yang, Jieyu Zhang, Jiawei Han:
Neural Embedding Propagation on Heterogeneous Networks. CoRR abs/1910.00005 (2019) - [i10]Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han:
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. CoRR abs/1910.01447 (2019) - [i9]Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han:
Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. CoRR abs/1910.01448 (2019) - [i8]Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han:
CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. CoRR abs/1910.01451 (2019) - [i7]Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han:
Place Deduplication with Embeddings. CoRR abs/1910.04861 (2019) - [i6]Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han:
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. CoRR abs/1911.05465 (2019) - 2018
- [i5]Yu Shi, Fangqiu Han, Xinran He, Carl Yang, Jie Luo, Jiawei Han:
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding. CoRR abs/1801.06597 (2018) - [i4]Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han:
Higher-Order Clustering in Heterogeneous Information Networks. CoRR abs/1811.11320 (2018) - 2017
- [i3]Carl Yang, Hanqing Lu, Kevin Chen-Chuan Chang:
CONE: Community Oriented Network Embedding. CoRR abs/1709.01554 (2017) - [i2]Carl Yang, Kevin Chen-Chuan Chang:
Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness. CoRR abs/1710.01363 (2017) - [i1]Carl Yang, Mengxiong Liu, Zongyi Wang, Liyuan Liu, Jiawei Han:
Graph Clustering with Dynamic Embedding. CoRR abs/1712.08249 (2017)
Coauthor Index
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