Yang, Carl

45 publications

LoG 2025 A Pure Transformer Pretraining Framework on Text-Attributed Graphs Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu

NeurIPS 2025 AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play Ran Xu, Yuchen Zhuang, Zihan Dong, Ruiyu Wang, Yue Yu, Joyce C. Ho, Linjun Zhang, Haoyu Wang, Wenqi Shi, Carl Yang

ICML 2025 BoxLM: Unifying Structures and Semantics of Medical Concepts for Diagnosis Prediction in Healthcare Yanchao Tan, Hang Lv, Yunfei Zhan, Guofang Ma, Bo Xiong, Carl Yang

IJCAI 2025 Contrastive Unlearning: A Contrastive Approach to Machine Unlearning Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong

NeurIPS 2025 Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models Zitong Shi, Guancheng Wan, Haixin Wang, Ruoyan Li, Zijie Huang, Wanjia Zhao, Yijia Xiao, Xiao Luo, Carl Yang, Yizhou Sun, Wei Wang

ICML 2025 EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, He Li, Carl Yang, Mang Ye

CVPR 2025 FedSPA: Generalizable Federated Graph Learning Under Homophily Heterogeneity Zihan Tan, Guancheng Wan, Wenke Huang, He Li, Guibin Zhang, Carl Yang, Mang Ye

NeurIPS 2025 GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights Shengbo Gong, Juntong Ni, Noveen Sachdeva, Carl Yang, Wei Jin

TMLR 2025 GMAgent: A Graph-Oriented Multi-Agent Collaboration Framework for Text-Attributed Graph Analysis Hang Lv, Pengxiang Zhan, Yanchao Tan, Zixuan Guo, Shiping Wang, Carl Yang

TMLR 2025 Graph Personalized Federated Learning via Client Network Learning Jiachen Zhou, Han Xie, Carl Yang

ICML 2025 GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li

ICLRW 2025 RMBoost: Reward Model Training with Preference-Conditional Multi-Aspect Synthetic Data Generation Jiaming Shen, Ran Xu, Yennie Jun, Zhen Qin, Tianqi Liu, Carl Yang, Yi Liang, Simon Baumgartner, Michael Bendersky

ICLR 2025 Subgraph Federated Learning for Local Generalization Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park

NeurIPS 2024 Biomedical Visual Instruction Tuning with Clinician Preference Alignment Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang

NeurIPS 2024 Deep Graph Neural Networks via Posteriori-Sampling-Based Node-Adaptative Residual Module Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li

ICLRW 2024 EHRAgent: Code Empowers Large Language Models for Few-Shot Complex Tabular Reasoning on Electronic Health Records Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang

CHIL 2024 From Basic to Extra Features: Hypergraph Transformer Pretrain-Then-Finetuning for Balanced Clinical Predictions on EHR Ran Xu, Yiwen Lu, Chang Liu, Yong Chen, Yan Sun, Xiao Hu, Joyce C Ho, Carl Yang

AAAI 2024 Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning Yiqi Dong, Dongxiao He, Xiaobao Wang, Youzhu Jin, Meng Ge, Carl Yang, Di Jin

ICMLW 2023 A Survey on Knowledge Graphs for Healthcare: Resources, Application Progress, and Promise Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Tianfan Fu, Chen Ling, Joyce Ho, Fei Wang, Carl Yang

NeurIPS 2023 Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, Yang Yang

MIDL 2023 FBNETGEN: Task-Aware GNN-Based fMRI Analysis via Functional Brain Network Generation Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang

NeurIPSW 2023 Knowledge-Infused Prompting Improves Clinical Text Generation with Large Language Models Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce Ho, Carl Yang

AAAI 2023 Neighborhood-Regularized Self-Training for Learning with Few Labels Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang

NeurIPS 2023 Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang

CHIL 2023 PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis Yi Yang, Hejie Cui, Carl Yang

CHIL 2023 SRDA: Mobile Sensing Based Fluid Overload Detection for End Stage Kidney Disease Patients Using Sensor Relation Dual Autoencoder Mingyu Tang, Jiechao Gao, Guimin Dong, Carl Yang, Bradford Campbell, Brendan Bowman, Jamie Marie Zoellner, Emaad Abdel-Rahman, Mehdi Boukhechba

NeurIPS 2023 WalkLM: A Uniform Language Model Fine-Tuning Framework for Attributed Graph Embedding Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang

NeurIPS 2022 Brain Network Transformer Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang

IJCAI 2022 Data-Free Adversarial Knowledge Distillation for Graph Neural Networks Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun

ICLR 2022 Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction Mingyue Tang, Pan Li, Carl Yang

NeurIPSW 2022 Shift-Robust Node Classification via Graph Clustering Co-Training Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han

NeurIPS 2021 Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation Jinming Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Wang Li

NeurIPS 2021 Federated Graph Classification over Non-IID Graphs Han Xie, Jing Ma, Li Xiong, Carl Yang

IJCAI 2021 Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He

IJCAI 2021 Secure Deep Graph Generation with Link Differential Privacy Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun

NeurIPS 2021 Subgraph Federated Learning with Missing Neighbor Generation Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu Ming Yiu

IJCAI 2021 TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract) Carl Yang, Jieyu Zhang, Jiawei Han

NeurIPS 2021 Transfer Learning of Graph Neural Networks with Ego-Graph Information Maximization Qi Zhu, Carl Yang, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han

IJCAI 2021 Understanding Structural Vulnerability in Graph Convolutional Networks Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang

ECML-PKDD 2021 Zero-Shot Scene Graph Relation Prediction Through Commonsense Knowledge Integration Xuan Kan, Hejie Cui, Carl Yang

IJCAI 2020 When Do GNNs Work: Understanding and Improving Neighborhood Aggregation Yiqing Xie, Sha Li, Carl Yang, Raymond Chi-Wing Wong, Jiawei Han

NeurIPS 2019 Conditional Structure Generation Through Graph Variational Generative Adversarial Nets Carl Yang, Peiye Zhuang, Wenhan Shi, Alan Luu, Pan Li

ECML-PKDD 2019 User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han

ECML-PKDD 2018 Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han

AAAI 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