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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
- Carl Yang 0002
![[0000-0002-4357-0906]](https://dblp.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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2020 – today
- 2024
[j10]Pavel Popov, Usman Mahmood, Zening Fu, Carl Yang, Vince D. Calhoun, Sergey M. Plis:
A simple but tough-to-beat baseline for fMRI time-series classification. NeuroImage 303: 120909 (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) - [c115]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 - [c114]Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May Dongmei Wang, Joyce C. Ho, Carl Yang:
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. ACL (Short Papers) 2024: 754-765 - [c113]Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce C. Ho, Carl Yang:
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. ACL (Findings) 2024: 15496-15523 - [c112]Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang:
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. CIKM 2024: 1027-1037 - [c111]Han Xie, Li Xiong, Carl Yang:
Federated Node Classification over Distributed Ego-Networks with Secure Contrastive Embedding Sharing. CIKM 2024: 2607-2617 - [c110]Eric Wonhee Lee, Bo Xiong, Carl Yang, Joyce C. Ho:
HypMix: Hyperbolic Representation Learning for Graphs with Mixed Hierarchical and Non-hierarchical Structures. CIKM 2024: 3852-3856 - [c109]Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang:
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. EMNLP 2024: 22234-22254 - [c108]Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May Dongmei Wang:
MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning. EMNLP 2024: 22294-22314 - [c107]Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang:
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records. EMNLP 2024: 22315-22339 - [c106]Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang:
Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. ICDE 2024: 1310-1323 - [c105]Hengyu Zhang, Hang Lv, Yanchao Tan, Guofang Ma, Fan Wang, Carl Yang:
ExpertODE: Continuous Diagnosis Prediction with Expert Enhanced Neural Ordinary Differential Equations. ICME 2024: 1-6 - [c104]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: 654-665 - [c103]Ziyang Zhang, Hejie Cui, Ran Xu, Yuzhang Xie, Joyce C. Ho, Carl Yang:
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data. KDD 2024: 6324-6334 - [c102]Junyuan Hong, Carl Yang, Zhuangdi Zhu, Zheng Xu, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou:
FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. KDD 2024: 6718-6719 - [c101]Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. MICCAI (2) 2024: 227-237 - [c100]Junruo Gao, Chen Ling, Carl Yang, Liang Zhao:
Helper Recommendation with seniority control in Online Health Community. SDM 2024: 253-261 - [c99]Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang:
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. SDM 2024: 806-814 - [c98]Yuzhang Xie, Jiaying Lu, Joyce C. Ho, Fadi B. Nahab, Xiao Hu, Carl Yang:
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking. SIGIR 2024: 2589-2593 - [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 - [i97]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) - [i96]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) - [i95]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) - [i94]Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong:
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. CoRR abs/2401.10458 (2024) - [i93]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) - [i92]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) - [i91]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) - [i90]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) - [i89]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) - [i88]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) - [i87]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) - [i86]Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May D. Wang, Joyce C. Ho, Chao Zhang, Carl Yang:
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. CoRR abs/2404.18443 (2024) - [i85]Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang:
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. CoRR abs/2405.00077 (2024) - [i84]Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Hang Wu, Carl Yang, May D. Wang:
MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning. CoRR abs/2405.03000 (2024) - [i83]Yuzhang Xie, Jiaying Lu, Joyce C. Ho, Fadi B. Nahab, Xiao Hu, Carl Yang:
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking. CoRR abs/2405.07500 (2024) - [i82]Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex D. Leow, Paul Thompson, Heng Huang, Liang Zhan:
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. CoRR abs/2405.13190 (2024) - [i81]Shifan Zhao, Jiaying Lu, Carl Ji Yang, Edmond Chow, Yuanzhe Xi:
Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling. CoRR abs/2405.13785 (2024) - [i80]Ran Xu, Yiwen Lu, Chang Liu, Yong Chen, Yan Sun, Xiao Hu, Joyce C. Ho, Carl Yang:
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR. CoRR abs/2406.05682 (2024) - [i79]Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li:
GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning. CoRR abs/2406.09187 (2024) - [i78]Ziyang Zhang, Hejie Cui, Ran Xu, Yuzhang Xie, Joyce C. Ho, Carl Yang:
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data. CoRR abs/2406.10061 (2024) - [i77]Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang:
Biomedical Visual Instruction Tuning with Clinician Preference Alignment. CoRR abs/2406.13173 (2024) - [i76]Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu:
A Pure Transformer Pretraining Framework on Text-attributed Graphs. CoRR abs/2406.13873 (2024) - [i75]Shengbo Gong, Juntong Ni, Noveen Sachdeva, Carl Yang, Wei Jin:
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights. CoRR abs/2406.16715 (2024) - [i74]Jiaming Shen, Ran Xu, Yennie Jun, Zhen Qin, Tianqi Liu, Carl Yang, Yi Liang, Simon Baumgartner, Michael Bendersky:
Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation. CoRR abs/2407.16008 (2024) - [i73]Yi Liang, You Wu, Honglei Zhuang, Li Chen, Jiaming Shen, Yiling Jia, Zhen Qin, Sumit Sanghai, Xuanhui Wang, Carl Yang, Michael Bendersky:
Integrating Planning into Single-Turn Long-Form Text Generation. CoRR abs/2410.06203 (2024) - [i72]Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He:
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. CoRR abs/2410.17952 (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) - [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 - [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
- [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) - [c69]Jiaying Lu, Carl Yang:
Open-World Taxonomy and Knowledge Graph Co-Learning. AKBC 2022 - [c68]