Carl Yang

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 186

Top Venues

Publications

Huaming Du, Long Shi, Xingyan Chen, Yu Zhao, Hegui Zhang, Carl Yang, Fuzhen Zhuang, Gang Kou
Representation Learning of Temporal Graphs with Structural Roles. KDD (2024)
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 (2024)
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 (2023)
Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. CoRR (2023)
Junruo Gao, Chen Ling, Carl Yang, Liang Zhao
Helper Recommendation with seniority control in Online Health Community. CoRR (2023)
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)
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) (2023)
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)
Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction. CoRR (2023)
Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne van Rooij, Carl Yang
Transformer-Based Hierarchical Clustering for Brain Network Analysis. CoRR (2023)
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 (2023)
Yi Yang, Hejie Cui, Carl Yang
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis. CHIL (2023)
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 (2023)
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)
Yi Yang, Hejie Cui, Carl Yang
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis. CoRR (2023)
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)
Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang
HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. CoRR (2023)
Han Xie, Li Xiong, Carl Yang
Federated Node Classification over Graphs with Latent Link-type Heterogeneity. WWW (2023)
Chen Ling, Carl Yang, Liang Zhao
Motif-guided heterogeneous graph deep generation. Knowl. Inf. Syst. 65 (7) (2023)
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)
Ran Xu, Yue Yu, Joyce C. Ho, Carl Yang
Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
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)
Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang
HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. SIGIR (2023)
Carl Yang, Jiawei Han
Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks. ICDE (2023)
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) (2023)
Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Rui Zhang, Di Jin, Carl Yang
GNNs, You can be Stronger, Deeper and Faster. CoRR (2023)
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)
Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne van Rooij, Carl Yang
Transformer-Based Hierarchical Clustering for Brain Network Analysis. ISBI (2023)
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 (2023)
Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Zhang, Chunping Wang, Lei Chen, Yang Yang
When to Pre-Train Graph Neural Networks? An Answer from Data Generation Perspective! CoRR (2023)
Ran Xu, Yue Yu, Joyce C. Ho, Carl Yang
Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training. SIGIR (2023)
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)
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 (2023)
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 (2023)
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) (2023)
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) (2023)
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 (2023)
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)
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)
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 (2023)
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)
Junru Chen, Yang Yang, Tao Yu, Yingying Fan, Xiaolong Mo, Carl Yang
BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning. CoRR (2023)
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)
Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation. MIDL (2022)
Shuang Wu, Mingxuan Zhang, Yuantong Li, Carl Yang, Pan Li
Graph Federated Learning with Hidden Representation Sharing. CoRR (2022)
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 (2022)
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)
Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Carl Yang
Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract). Big Data (2022)
Qiuchen Zhang, Jing Ma, Jian Lou, Carl Yang, Li Xiong
Towards Training Graph Neural Networks with Node-Level Differential Privacy. CoRR (2022)
Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Xiaolin Zheng
Partial Relaxed Optimal Transport for Denoised Recommendation. CoRR (2022)
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). Big Data (2022)
Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. CoRR (2022)
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)
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). Big Data (2022)
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)
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)
Hejie Cui, Zijie Lu, Pan Li, Carl Yang
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. CIKM (2022)
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)
Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. NAACL-HLT (2022)
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 (2022)
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) (2022)
Mingyue Tang, Pan Li, Carl Yang
Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction. ICLR (2022)
Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang
Brain Network Transformer. NeurIPS (2022)
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)
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)
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)
Carl Yang, Aydin Buluç, John D. Owens
GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU. ACM Trans. Math. Softw. 48 (1) (2022)
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)
Kaustubh D. Dhole, Carl Yang
A Bird's-Eye Tutorial of Graph Attention Architectures. CoRR (2022)
Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. CoRR (2022)
Chen Ling, Carl Yang, Liang Zhao
Deep Generation of Heterogeneous Networks. CoRR (2022)
Yanchao Tan, Carl Yang, Yanchao Tan, Ziyue Wu, Weiming Liu, Xiaolin Zheng
Partial Relaxed Optimal Transport for Denoised Recommendation. DL4SR@CIKM (2022)
Mingyue Tang, Carl Yang, Pan Li
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction. CoRR (2022)
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)
Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng
Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. ICDE (2022)
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)
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 (2022)
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 (2022)
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 (2022)
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)
Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. IJCAI (2022)
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)
Yi Yang, Hejie Cui, Carl Yang
Pre-train Graph Neural Networks for Brain Network Analysis (Extended Abstract). Big Data (2022)
Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu
Structure-Enhanced Heterogeneous Graph Contrastive Learning. SDM (2022)
Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han
Shift-Robust Node Classification via Graph Adversarial Clustering. CoRR (2022)
Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang
Brain Network Transformer. CoRR (2022)
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)
Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. CoRR (2022)
Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation. CoRR (2022)
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 (2021)
Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. CoRR (2021)
Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun
Secure Deep Graph Generation with Link Differential Privacy. IJCAI (2021)
Hejie Cui, Zijie Lu, Pan Li, Carl Yang
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. CoRR (2021)
Carl Yang, Jieyu Zhang, Jiawei Han
TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract). IJCAI (2021)
Wenjie Hu, Yang Yang, Ziqiang Cheng, Carl Yang, Xiang Ren
Time-Series Event Prediction with Evolutionary State Graph. WSDM (2021)
Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He
Controllable Gradient Item Retrieval. CoRR (2021)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Carl Yang