Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation. - Carl Yang 001; Lanxiao Bai; Chao Zhang 014; Quan Yuan 001; Jiawei Han 001 (KDD, 2017)

Bi-directional Joint Inference for User Links and Attributes on Large Social Graphs. - Carl Yang 001; Lin Zhong; Li-Jia Li 001; Luo Jie (WWW (Companion Volume), 2017)

CONE: Community Oriented Network Embedding. - Carl Yang 001; Hanqing Lu; Kevin Chen-Chuan Chang (CoRR, 2017)

Graph Clustering with Dynamic Embedding. - Carl Yang 001; Mengxiong Liu; Zongyi Wang; Liyuan Liu; Jiawei Han 001 (CoRR, 2017)

Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach. - Chao Zhang 014; Mengxiong Liu; Zhengchao Liu; Carl Yang 001; Luming Zhang; Jiawei Han 001 (AAAI, 2018)

Node, Motif and Subgraph: Leveraging Network Functional Blocks Through Structural Convolution. - Carl Yang 001; Mengxiong Liu; Vincent W. Zheng; Jiawei Han 001 (ASONAM, 2018)

Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding. - Carl Yang 001; Chao Zhang 014; Xuewen Chen; Jieping Ye; Jiawei Han 001 (ICDE, 2018)

Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. - Carl Yang 001; Yichen Feng; Pan Li 005; Yu Shi 002; Jiawei Han 001 (ICDM, 2018)

I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. - Carl Yang 001; Xiaolin Shi; Luo Jie; Jiawei Han 001 (KDD, 2018)

Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. - Carl Yang 001; Mengxiong Liu; Frank He; Xikun Zhang 001; Jian Peng 001; Jiawei Han 001 (ECML/PKDD (2), 2018)

mvn2vec: Preservation and Collaboration in Multi-View Network Embedding. - Yu Shi 002; Fangqiu Han; Xinran He; Carl Yang 001; Jie Luo; Jiawei Han 001 (CoRR, 2018)

Higher-Order Clustering in Heterogeneous Information Networks. - Yu Shi 002; Xinwei He; Naijing Zhang; Carl Yang 001; Jiawei Han 001 (CoRR, 2018)

Non-local Attention Learning on Large Heterogeneous Information Networks. - Yuxin Xiao; Zecheng Zhang; Carl Yang 001; Chengxiang Zhai (IEEE BigData, 2019)

Query-Specific Knowledge Summarization with Entity Evolutionary Networks. - Carl Yang 001; Lingrui Gan; Zongyi Wang; Jiaming Shen; Jinfeng Xiao; Jiawei Han 001 (CIKM, 2019)

cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. - Carl Yang 001; Jiawei Han 001 (ICDM Workshops, 2019)

Neural Embedding Propagation on Heterogeneous Networks. - Carl Yang 001; Jieyu Zhang 001; Jiawei Han 001 (ICDM, 2019)

RASE: Relationship Aware Social Embedding. - Aravind Sankar; Adit Krishnan; Zongjian He; Carl Yang 001 (IJCNN, 2019)

Conditional Structure Generation through Graph Variational Generative Adversarial Nets. - Carl Yang 001; Peiye Zhuang; Wenhan Shi; Alan Luu; Pan Li 005 (NeurIPS, 2019)

User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription. - Yu Shi 002; Xinwei He; Naijing Zhang; Carl Yang 001; Jiawei Han 001 (ECML/PKDD (1), 2019)

Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness. - Carl Yang 001; Kevin Chang 001 (SDM, 2019)

Place Deduplication with Embeddings. - Carl Yang 001; Do Huy Hoang; Tomás Mikolov; Jiawei Han 001 (WWW, 2019)

CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. - Carl Yang 001; Dai Teng; Siyang Liu; Sayantani Basu; Jieyu Zhang 001; Jiaming Shen; Chao Zhang 014; Jingbo Shang; Lance M. Kaplan; Timothy Harratty; Jiawei Han 001 (CoRR, 2019)

Graph Clustering with Embedding Propagation. - Carl Yang 001; Liyuan Liu; Mengxiong Liu; Zongyi Wang; Chao Zhang 014; Jiawei Han 001 (IEEE BigData, 2020)

Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities. - Yingkui Wang; Di Jin 001; Carl Yang 001; Jianwu Dang 001 (ICDM, 2020)

Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks. - Carl Yang 001; Jieyu Zhang 001; Jiawei Han 001 (ICDM, 2020)

When Do GNNs Work: Understanding and Improving Neighborhood Aggregation. - Yiqing Xie; Sha Li; Carl Yang 001; Raymond Chi-Wing Wong; Jiawei Han 001 (IJCAI, 2020)

Unsupervised Differentiable Multi-aspect Network Embedding. - Chanyoung Park 001; Carl Yang 001; Qi Zhu 008; Donghyun Kim 007; Hwanjo Yu; Jiawei Han 001 (KDD, 2020)

MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. - Carl Yang 001; Aditya Pal; Andrew Zhai; Nikil Pancha; Jiawei Han 001; Charles Rosenberg 001; Jure Leskovec (KDD, 2020)

Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines. - Yang Liu 245; Xianzhuo Xia; Liang Chen 001; Xiangnan He 001; Carl Yang 001; Zibin Zheng (SIGIR, 2020)

Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization. - Carl Yang 001; Jieyu Zhang 001; Haonan Wang; Bangzheng Li; Jiawei Han 001 (SIGIR, 2020)

Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. - Carl Yang 001; Jieyu Zhang 001; Haonan Wang; Sha Li; Myunghwan Kim 002; Matt Walker; Yiou Xiao; Jiawei Han 001 (WSDM, 2020)

cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. - Carl Yang 001; Mengxiong Liu; Frank He; Jian Peng 001; Jiawei Han 001 (CoRR, 2020)

Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond. - Carl Yang 001; Yuxin Xiao; Yu Zhang 044; Yizhou Sun; Jiawei Han 001 (CoRR, 2020)

Secure Network Release with Link Privacy. - Carl Yang 001; Haonan Wang; Lichao Sun 001; Bo Li 026 (CoRR, 2020)

Multi-facet graph mining with contextualized projections - Carl Yang 001 (2020)

Lightweight Visual Question Answering using Scene Graphs. - Sai Vidyaranya Nuthalapati; Ramraj Chandradevan; Eleonora Giunchiglia; Bowen Li 001; Maxime Kayser; Thomas Lukasiewicz; Carl Yang 001 (CIKM, 2021)

Multi-Facet Recommender Networks with Spherical Optimization. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Yun Ma 009; Xiaolin Zheng (ICDE, 2021)

Deep Generation of Heterogeneous Networks. - Chen Ling 003; Carl Yang 001; Liang Zhao 002 (ICDM, 2021)

Understanding Structural Vulnerability in Graph Convolutional Networks. - Liang Chen 001; Jintang Li; Qibiao Peng; Yang Liu 245; Zibin Zheng; Carl Yang 001 (IJCAI, 2021)

Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. - Gongxu Luo; Jianxin Li 002; Hao Peng 001; Carl Yang 001; Lichao Sun 001; Philip S. Yu; Lifang He 001 (IJCAI, 2021)

Secure Deep Graph Generation with Link Differential Privacy. - Carl Yang 001; Haonan Wang; Ke Zhang; Liang Chen 001; Lichao Sun 001 (IJCAI, 2021)

TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract). - Carl Yang 001; Jieyu Zhang 001; Jiawei Han 001 (IJCAI, 2021)

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. - Jinming Cui; Chaochao Chen 001; Lingjuan Lyu; Carl Yang 001; Li Wang 056 (NeurIPS, 2021)

Federated Graph Classification over Non-IID Graphs. - Han Xie; Jing Ma 005; Li Xiong 001; Carl Yang 001 (NeurIPS, 2021)

Subgraph Federated Learning with Missing Neighbor Generation. - Ke Zhang; Carl Yang 001; Xiaoxiao Li; Lichao Sun 001; Siu-Ming Yiu (NeurIPS, 2021)

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. - Qi Zhu 008; Carl Yang 001; Yidan Xu; Haonan Wang; Chao Zhang 014; Jiawei Han 001 (NeurIPS, 2021)

Zero-Shot Scene Graph Relation Prediction Through Commonsense Knowledge Integration. - Xuan Kan; Hejie Cui; Carl Yang 001 (ECML/PKDD (2), 2021)

Time-Series Event Prediction with Evolutionary State Graph. - Wenjie Hu 003; Yang Yang 009; Ziqiang Cheng; Carl Yang 001; Xiang Ren 001 (WSDM, 2021)

Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network. - Yuanzhen Xie; Zijing Ou; Liang Chen 001; Yang Liu 245; Kun Xu; Carl Yang 001; Zibin Zheng (WSDM, 2021)

Controllable Gradient Item Retrieval. - Haonan Wang; Chang Zhou; Carl Yang 001; Hongxia Yang; Jingrui He (WWW, 2021)

BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis. - Hejie Cui; Wei Dai 013; Yanqiao Zhu 001; Xiaoxiao Li; Lifang He 001; Carl Yang 001 (CoRR, 2021)

Effective and Interpretable fMRI Analysis via Functional Brain Network Generation. - Xuan Kan; Hejie Cui; Ying Guo 003; Carl Yang 001 (CoRR, 2021)

Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning. - Yanqiao Zhu 001; Yichen Xu; Hejie Cui; Carl Yang 001; Qiang Liu 006; Shu Wu (CoRR, 2021)

Open-World Taxonomy and Knowledge Graph Co-Learning. - Jiaying Lu 001; Carl Yang 001 (AKBC, 2022)

Multi-View Brain Network Analysis with Cross-View Missing Network Generation. - Gongxu Luo; Chenyang Li; Hejie Cui; Lichao Sun 001; Lifang He 001; Carl Yang 001 (BIBM, 2022)

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract). - Hejie Cui; Wei Dai 013; Yanqiao Zhu 001; Xuan Kan; Antonio Aodong Chen Gu; Joshua Lukemire; Liang Zhan; Lifang He 001; Ying Guo 003; Carl Yang 001 (IEEE Big Data, 2022)

Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract). - Wei Dai 013; Hejie Cui; Xuan Kan; Ying Guo 003; Carl Yang 001 (IEEE Big Data, 2022)

Pre-train Graph Neural Networks for Brain Network Analysis (Extended Abstract). - Yi Yang 094; Hejie Cui; Carl Yang 001 (IEEE Big Data, 2022)

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (IEEE Big Data, 2022)

On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. - Hejie Cui; Zijie Lu; Pan Li 005; Carl Yang 001 (CIKM, 2022)

Partial Relaxed Optimal Transport for Denoised Recommendation. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Ziyue Wu; Weiming Liu 005; Xiaolin Zheng (DL4SR@CIKM, 2022)

The 1st International Workshop on Federated Learning with Graph Data (FedGraph). - Carl Yang 001; Xiaoxiao Li; Nathalie Baracaldo; Neil Shah; Chaoyang He 001; Lingjuan Lyu; Lichao Sun 001; Salman Avestimehr (CIKM, 2022)

How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation. - Hejie Cui; Jiaying Lu 001; Yao Ge 003; Carl Yang 001 (ECIR (2), 2022)

Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. - Yanqiao Zhu 001; Hejie Cui; Lifang He 001; Lichao Sun 001; Carl Yang 001 (EMBC, 2022)

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. - Kai Zhang 039; Yu Wang 158; Hongyi Wang 001; Lifu Huang; Carl Yang 001; Xun Chen; Lichao Sun 001 (EMNLP (Findings), 2022)

Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Chaochao Chen 001; Longfei Li; Xiaolin Zheng (ICDE, 2022)

Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction. - Mingyue Tang; Pan Li 005; Carl Yang 001 (ICLR, 2022)

Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. - Yuanxin Zhuang; Lingjuan Lyu; Chuan Shi 001; Carl Yang 001; Lichao Sun 001 (IJCAI, 2022)

Structure-Preserving Graph Kernel for Brain Network Classification. - Jun Yu; Zhaoming Kong; Aditya Kendre; Hao Peng 001; Carl Yang 001; Lichao Sun 001; Alex D. Leow; Lifang He 001 (ISBI, 2022)

BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning. - Junru Chen; Yang Yang 009; Tao Yu; Yingying Fan; Xiaolong Mo; Carl Yang 001 (KDD, 2022)

4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. - Yanchao Tan; Chengjun Kong; Leisheng Yu; Pan Li 005; Chaochao Chen 001; Xiaolin Zheng; Vicki Hertzberg; Carl Yang 001 (KDD, 2022)

Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. - Yi Yang 094; Yanqiao Zhu 001; Hejie Cui; Xuan Kan; Lifang He 001; Ying Guo 003; Carl Yang 001 (KDD, 2022)

Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance. - Carl Yang 001; Hongwen Song; Mingyue Tang; Leon Danon; Ymir Vigfusson (KDD, 2022)

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. - Hejie Cui; Wei Dai 013; Yanqiao Zhu 001; Xiaoxiao Li; Lifang He 001; Carl Yang 001 (MICCAI (8), 2022)

FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation. - Xuan Kan; Hejie Cui; Joshua Lukemire; Ying Guo 003; Carl Yang 001 (MIDL, 2022)

Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR. - Ran Xu 002; Yue Yu 001; Chao Zhang 014; Mohammed K. Ali; Joyce C. Ho; Carl Yang 001 (ML4H@NeurIPS, 2022)

SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. - Yuxin Xiao; Zecheng Zhang; Yuning Mao; Carl Yang 001; Jiawei Han 001 (NAACL-HLT, 2022)

Brain Network Transformer. - Xuan Kan; Wei Dai 013; Hejie Cui; Zilong Zhang; Ying Guo 003; Carl Yang 001 (NeurIPS, 2022)

Structure-Enhanced Heterogeneous Graph Contrastive Learning. - Yanqiao Zhu 001; Yichen Xu; Hejie Cui; Carl Yang 001; Qiang Liu 006; Shu Wu (SDM, 2022)

MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Chaochao Chen 001; Weiming Liu 005; Longfei Li; Jun Zhou 011; Xiaolin Zheng (SIGIR, 2022)

KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. - Yiqing Xie; Zhen Wang 036; Carl Yang 001; Yaliang Li; Bolin Ding; Hongbo Deng; Jiawei Han 001 (WWW, 2022)

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. - Jamie Cui; Chaochao Chen 001; Lingjuan Lyu; Carl Yang 001; Li Wang 056 (CoRR, 2022)

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. - Kai Zhang 039; Yu Wang 158; Hongyi Wang 001; Lifu Huang; Carl Yang 001; Lichao Sun 001 (CoRR, 2022)

Shift-Robust Node Classification via Graph Adversarial Clustering. - Qi Zhu 008; Chao Zhang 014; Chanyoung Park 001; Carl Yang 001; Jiawei Han 001 (CoRR, 2022)

Partial Relaxed Optimal Transport for Denoised Recommendation. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Ziyue Wu; Xiaolin Zheng (CoRR, 2022)

A Bird's-Eye Tutorial of Graph Attention Architectures. - Kaustubh D. Dhole; Carl Yang 001 (CoRR, 2022)

Towards Training Graph Neural Networks with Node-Level Differential Privacy. - Qiuchen Zhang; Jing Ma 005; Jian Lou 001; Carl Yang 001; Li Xiong 001 (CoRR, 2022)

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks. - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (CoRR, 2022)

Graph Federated Learning with Hidden Representation Sharing. - Shuang Wu; Mingxuan Zhang; Yuantong Li; Carl Yang 001; Pan Li 005 (CoRR, 2022)

Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark. - Carl Yang 001; Yuxin Xiao; Yu Zhang 044; Yizhou Sun; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2022)

Neighborhood-Regularized Self-Training for Learning with Few Labels. - Ran Xu 002; Yue Yu 001; Hejie Cui; Xuan Kan; Yanqiao Zhu 001; Joyce C. Ho; Chao Zhang 014; Carl Yang 001 (AAAI, 2023)

PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. - Hejie Cui; Rongmei Lin; Nasser Zalmout; Chenwei Zhang; Jingbo Shang; Carl Yang 001; Xian Li (ACL (Findings), 2023)

Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis. - Xuan Kan; Antonio Aodong Chen Gu; Hejie Cui; Ying Guo 003; Carl Yang 001 (BHI, 2023)

øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder. - Mingyue Tang; Jiechao Gao; Guimin Dong; Carl Yang 001; Bradford Campbell; Brendan Bowman; Jamie Marie Zoellner; Emaad Abdel-Rahman; Mehdi Boukhechba (CHIL, 2023)

PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis. - Yi Yang 094; Hejie Cui; Carl Yang 001 (CHIL, 2023)

MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields. - Jiaying Lu 001; Yongchen Qian; Shifan Zhao; Yuanzhe Xi; Carl Yang 001 (EMNLP (Findings), 2023)

Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. - Zishan Gu; Ke Zhang; Guangji Bai; Liang Chen 001; Liang Zhao 002; Carl Yang 001 (ICDE, 2023)

Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks. - Carl Yang 001; Jiawei Han 001 (ICDE, 2023)

Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression. - Yanchao Tan; Zihao Zhou; Leisheng Yu; Weiming Liu 005; Chaochao Chen 001; Guofang Ma; Xiao Hu 002; Vicki Stover Hertzberg; Carl Yang 001 (ICDM, 2023)

Graph Neural Network Modeling of Web Search Activity for Real-time Pandemic Forecasting. - Chen Lin; Jianghong Zhou; Jing Zhang 001; Carl Yang 001; Eugene Agichtein (ICHI, 2023)

Transformer-Based Hierarchical Clustering for Brain Network Analysis. - Wei Dai 013; Hejie Cui; Xuan Kan; Ying Guo 003; Sanne J. H. van Rooij; Carl Yang 001 (ISBI, 2023)

Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (ISBI, 2023)

When to Pre-Train Graph Neural Networks? From Data Generation Perspective! - Yuxuan Cao; Jiarong Xu; Carl Yang 001; Jiaan Wang; Yunchao Zhang; Chunping Wang 001; Lei Chen 082; Yang Yang 009 (KDD, 2023)

R-Mixup: Riemannian Mixup for Biological Networks. - Xuan Kan; Zimu Li; Hejie Cui; Yue Yu 001; Ran Xu 002; Shaojun Yu; Zilong Zhang; Ying Guo 003; Carl Yang 001 (KDD, 2023)

Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. - Han Xie; Da Zheng; Jun Ma 029; Houyu Zhang; Vassilis N. Ioannidis; Xiang Song 003; Qing Ping; Sheng Wang 012; Carl Yang 001; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (KDD, 2023)

FedAA: Using Non-sensitive Modalities to Improve Federated Learning while Preserving Image Privacy. - Dong Chen 017; Siliang Tang; Zijin Shen; Guoming Wang; Jun Xiao 001; Yueting Zhuang; Carl Yang 001 (ACM Multimedia, 2023)

Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation. - Zhenghong Lin; Yanchao Tan; Yunfei Zhan; Weiming Liu 005; Fan Wang 020; Chaochao Chen 001; Shiping Wang; Carl Yang 001 (ACM Multimedia, 2023)

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting. - Hejie Cui; Xinyu Fang; Zihan Zhang; Ran Xu 002; Xuan Kan; Xin Liu 039; Yue Yu 001; Manling Li; Yangqiu Song; Carl Yang 001 (NeurIPS, 2023)

WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding. - Yanchao Tan; Zihao Zhou; Hang Lv 010; Weiming Liu 005; Carl Yang 001 (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 001; Chunping Wang 001; Yang Yang 009 (NeurIPS, 2023)

HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. - Jiaying Lu 001; Jiaming Shen; Bo Xiong; Wenjing Ma; Steffen Staab; Carl Yang 001 (SIGIR, 2023)

Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training. - Ran Xu 002; Yue Yu 001; Joyce C. Ho; Carl Yang 001 (SIGIR, 2023)

Federated Node Classification over Graphs with Latent Link-type Heterogeneity. - Han Xie; Li Xiong 001; Carl Yang 001 (WWW, 2023)

Deep Graph Neural Networks via Flexible Subgraph Aggregation. - Jingbo Zhou; Yixuan Du; Ruqiong Zhang; Di Jin 001; Carl Yang 001; Rui Zhang (CoRR, 2023)

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. - Chen Ling 003; Xujiang Zhao; Jiaying Lu 001; Chengyuan Deng; Can Zheng; Junxiang Wang; Tanmoy Chowdhury; Yun Li 005; Hejie Cui; Xuchao Zhang; Tianjiao Zhao; Amit Panalkar; et al. (CoRR, 2023)

A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises. - Hejie Cui; Jiaying Lu 001; Shiyu Wang 002; Ran Xu 002; Wenjing Ma; Shaojun Yu; Yue Yu 001; Xuan Kan; Chen Ling 003; Joyce C. Ho; Fei Wang; Carl Yang 001 (CoRR, 2023)

Evaluation and Mitigation of Agnosia in Multimodal Large Language Models. - Jiaying Lu 001; Jinmeng Rao; Kezhen Chen; Xiaoyuan Guo; Yawen Zhang; Baochen Sun; Carl Yang 001; Jie Yang (CoRR, 2023)

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. - Ran Xu 002; Hejie Cui; Yue Yu 001; Xuan Kan; Wenqi Shi; Yuchen Zhuang; Wei Jin 009; Joyce C. Ho; Carl Yang 001 (CoRR, 2023)

Cross-Modal Data Augmentation for Tasks of Different Modalities. - Dong Chen 017; Yueting Zhuang; Zijin Shen; Carl Yang 001; Guoming Wang; Siliang Tang; Yi Yang 001 (IEEE Trans. Multim., 2023)

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks. - Hejie Cui; Wei Dai 013; Yanqiao Zhu 001; Xuan Kan; Antonio Aodong Chen Gu; Joshua Lukemire; Liang Zhan; Lifang He 001; Ying Guo 003; Carl Yang 001 (IEEE Trans. Medical Imaging, 2023)

GCN for HIN via Implicit Utilization of Attention and Meta-Paths. - Di Jin 001; Zhizhi Yu; Dongxiao He; Carl Yang 001; Philip S. Yu; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2023)

Motif-guided heterogeneous graph deep generation. - Chen Ling 003; Carl Yang 001; Liang Zhao 002 (Knowl. Inf. Syst., 2023)

Adversarial Attack and Defense on Graph Data: A Survey. - Lichao Sun 001; Yingtong Dou; Carl Yang 001; Kai Zhang 039; Ji Wang 002; Philip S. Yu; Lifang He 001; Bo Li 026 (IEEE Trans. Knowl. Data Eng., 2023)

Finding High-Quality Item Attributes for Recommendation. - Xiaolin Zheng; Yanchao Tan; Yan Wang 002; Xiangyu Wei; Shengjia Zhang; Chaochao Chen 001; Longfei Li; Carl Yang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Weakly Supervised Concept Map Generation Through Task-Guided Graph Translation. - Jiaying Lu 001; Xiangjue Dong; Carl Yang 001 (IEEE Trans. Knowl. Data Eng., 2023)

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 001; Di Jin 001 (AAAI, 2024)

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. - Ran Xu 002; Hejie Cui; Yue Yu 001; Xuan Kan; Wenqi Shi; Yuchen Zhuang; May Dongmei Wang; Wei Jin 009; Joyce C. Ho; Carl Yang 001 (ACL (Findings), 2024)

RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. - Ran Xu 002; Wenqi Shi; Yue Yu 001; Yuchen Zhuang; Bowen Jin; May Dongmei Wang; Joyce C. Ho; Carl Yang 001 (ACL (Short Papers), 2024)

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. - Kaiqiao Han; Yi Yang 001; Zijie Huang 002; Xuan Kan; Ying Guo 003; Yang Yang 009; Lifang He 001; Liang Zhan; Yizhou Sun; Wei Wang 010; Carl Yang 001 (BHI, 2024)

Multi-task Learning for Brain Network Analysis in the ABCD Study. - Xuan Kan; Hejie Cui; Keqi Han; Ying Guo 003; Carl Yang 001 (BHI, 2024)

From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR. - Ran Xu 002; Yiwen Lu; Chang Liu; Yong Chen 016; Yan Sun; Xiao Hu 002; Joyce C. Ho; Carl Yang 001 (CHIL, 2024)

Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. - Baoyu Jing; Dawei Zhou 003; Kan Ren; Carl Yang 001 (CIKM, 2024)

HypMix: Hyperbolic Representation Learning for Graphs with Mixed Hierarchical and Non-hierarchical Structures. - Eric Wonhee Lee; Bo Xiong; Carl Yang 001; Joyce C. Ho (CIKM, 2024)

Federated Node Classification over Distributed Ego-Networks with Secure Contrastive Embedding Sharing. - Han Xie; Li Xiong 001; Carl Yang 001 (CIKM, 2024)

BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. - Ran Xu 002; Wenqi Shi; Yue Yu 001; Yuchen Zhuang; Yanqiao Zhu 001; May Dongmei Wang; Joyce C. Ho; Chao Zhang 014; Carl Yang 001 (EMNLP, 2024)

MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning. - Wenqi Shi; Ran Xu 002; Yuchen Zhuang; Yue Yu 001; Haotian Sun; Hang Wu; Carl Yang 001; May Dongmei Wang (EMNLP, 2024)

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records. - Wenqi Shi; Ran Xu 002; Yuchen Zhuang; Yue Yu 001; Jieyu Zhang 001; Hang Wu; Yuanda Zhu; Joyce C. Ho; Carl Yang 001; May Dongmei Wang (EMNLP, 2024)

Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. - Yanchao Tan; Hang Lv 010; Zihao Zhou; Wenzhong Guo; Bo Xiong; Weiming Liu 005; Chaochao Chen 001; Shiping Wang; Carl Yang 001 (ICDE, 2024)

ExpertODE: Continuous Diagnosis Prediction with Expert Enhanced Neural Ordinary Differential Equations. - Hengyu Zhang 001; Hang Lv 010; Yanchao Tan; Guofang Ma; Fan Wang 020; Carl Yang 001 (ICME, 2024)

Representation Learning of Temporal Graphs with Structural Roles. - Huaming Du; Long Shi 002; Xingyan Chen; Yu Zhao 019; Hegui Zhang; Carl Yang 001; Fuzhen Zhuang; Gang Kou (KDD, 2024)

FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. - Junyuan Hong; Carl Yang 001; Zhuangdi Zhu; Zheng Xu 002; Nathalie Baracaldo; Neil Shah; Salman Avestimehr; Jiayu Zhou (KDD, 2024)

TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data. - Ziyang Zhang; Hejie Cui; Ran Xu 002; Yuzhang Xie; Joyce C. Ho; Carl Yang 001 (KDD, 2024)

A Pure Transformer Pretraining Framework on Text-Attributed Graphs. - Yu Song; Haitao Mao; Jiachen Xiao; Jingzhe Liu; Zhikai Chen; Wei Jin 009; Carl Yang 001; Jiliang Tang; Hui Liu 031 (LoG, 2024)

Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. - Haoteng Tang; Guodong Liu; Siyuan Dai; Kai Ye 002; Kun Zhao 007; Wenlu Wang; Carl Yang 001; Lifang He 001; Alex D. Leow; Paul M. Thompson; Heng Huang; Liang Zhan (MICCAI (2), 2024)

Biomedical Visual Instruction Tuning with Clinician Preference Alignment. - Hejie Cui; Lingjun Mao; Xin Liang; Jieyu Zhang 001; Hui Ren 001; Quanzheng Li; Xiang Li 001; Carl Yang 001 (NeurIPS, 2024)

Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module. - Jingbo Zhou; Yixuan Du; Ruqiong Zhang; Jun Xia 001; Zhizhi Yu; Zelin Zang; Di Jin 001; Carl Yang 001; Rui Zhang; Stan Z. Li (NeurIPS, 2024)

Helper Recommendation with seniority control in Online Health Community. - Junruo Gao; Chen Ling 003; Carl Yang 001; Liang Zhao 002 (SDM, 2024)

Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. - Ke Zhang; Lichao Sun 001; Bolin Ding; Siu Ming Yiu; Carl Yang 001 (SDM, 2024)

PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking. - Yuzhang Xie; Jiaying Lu 001; Joyce C. Ho; Fadi B. Nahab; Xiao Hu 002; Carl Yang 001 (SIGIR, 2024)

GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction. - Amit Roy; Juan Shu; Jia Li 009; Carl Yang 001; Olivier Elshocht; Jeroen Smeets; Pan Li 005 (WSDM, 2024)

Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process. - Jiaying Lu 001; Shifan Zhao; Wenjing Ma; Hui Shao; Xiao Hu 002; Yuanzhe Xi; Carl Yang 001 (WWW (Companion Volume), 2024)

BoxCare: A Box Embedding Model for Disease Representation and Diagnosis Prediction in Healthcare Data. - Hang Lv 010; Zehai Chen; Yacong Yang; Guofang Ma; Yanchao Tan; Carl Yang 001 (WWW (Companion Volume), 2024)

Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows. - Yanchao Tan; Hengyu Zhang 001; Zihao Zhou; Guofang Ma; Fan Wang 020; Weiming Liu 005; Xinting Liao; Vicki Stover Hertzberg; Carl Yang 001 (WWW (Companion Volume), 2024)

DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy. - Qiuchen Zhang; Hong-Kyu Lee; Jing Ma 005; Jian Lou 001; Carl Yang 001; Li Xiong 001 (WWW, 2024)

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models. - Guangji Bai; Zheng Chai; Chen Ling 003; Shiyu Wang 002; Jiaying Lu 001; Nan Zhang; Tingwei Shi; Ziyang Yu; Mengdan Zhu; Yifei Zhang 006; Carl Yang 001; Yue Cheng 001; et al. (CoRR, 2024)

EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. - Wenqi Shi; Ran Xu 002; Yuchen Zhuang; Yue Yu 001; Jieyu Zhang 001; Hang Wu; Yuanda Zhu; Joyce C. Ho; Carl Yang 001; May D. Wang (CoRR, 2024)

Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. - Hong-Kyu Lee; Qiuchen Zhang; Carl Yang 001; Jian Lou 001; Li Xiong 001 (CoRR, 2024)

Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes. - Darren Liu; Cheng Ding; Delgersuren Bold; Monique Bouvier; Jiaying Lu 001; Benjamin Shickel; Craig S. Jabaley; Wenhui Zhang; Soojin Park; Michael J. Young; Mark S. Wainwright; Gilles Clermont; et al. (CoRR, 2024)

Are Synthetic Time-series Data Really not as Good as Real Data? - Fanzhe Fu; Junru Chen; Jing Zhang 001; Carl Yang 001; Lvbin Ma; Yang Yang 009 (CoRR, 2024)

MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining. - Yanchao Tan; Hang Lv 010; Xinyi Huang; Jiawei Zhang 002; Shiping Wang; Carl Yang 001 (CoRR, 2024)

Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM. - Hejie Cui; Xinyu Fang; Ran Xu 002; Xuan Kan; Joyce C. Ho; Carl Yang 001 (CoRR, 2024)

CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. - Baoyu Jing; Dawei Zhou 003; Kan Ren; Carl Yang 001 (CoRR, 2024)

LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction. - Hejie Cui; Zhuocheng Shen; Jieyu Zhang 001; Hui Shao; Lianhui Qin; Joyce C. Ho; Carl Yang 001 (CoRR, 2024)

MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning. - Wenqi Shi; Ran Xu 002; Yuchen Zhuang; Yue Yu 001; Hang Wu; Carl Yang 001; May D. Wang (CoRR, 2024)

Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling. - Shifan Zhao; Jiaying Lu 001; Carl Ji Yang; Edmond Chow; Yuanzhe Xi (CoRR, 2024)

GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning. - Zhen Xiang; Linzhi Zheng; Yanjie Li; Junyuan Hong; Qinbin Li; Han Xie; Jiawei Zhang 002; Zidi Xiong; Chulin Xie; Carl Yang 001; Dawn Song; Bo Li 026 (CoRR, 2024)

GC-Bench: A Benchmark Framework for Graph Condensation with New Insights. - Shengbo Gong; Juntong Ni; Noveen Sachdeva; Carl Yang 001; Wei Jin 009 (CoRR, 2024)

Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation. - Jiaming Shen; Ran Xu 002; Yennie Jun; Zhen Qin 001; Tianqi Liu 002; Carl Yang 001; Yi Liang; Simon Baumgartner; Michael Bendersky (CoRR, 2024)

Integrating Planning into Single-Turn Long-Form Text Generation. - Yi Liang; You Wu 001; Honglei Zhuang; Li Chen; Jiaming Shen; Yiling Jia; Zhen Qin 001; Sumit Sanghai; Xuanhui Wang; Carl Yang 001; Michael Bendersky (CoRR, 2024)

Measuring Spiritual Values and Bias of Large Language Models. - Songyuan Liu; Ziyang Zhang; Runze Yan; Wei Wu; Carl Yang 001; Jiaying Lu 001 (CoRR, 2024)

Attack as Defense: Run-time Backdoor Implantation for Image Content Protection. - Haichuan Zhang; Meiyu Lin; Zhaoyi Liu; Renyuan Li; Zhiyuan Cheng 010; Carl Yang 001; Mingjie Tang (CoRR, 2024)

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. - Ran Xu 002; Hui Liu 003; Sreyashi Nag; Zhenwei Dai; Yaochen Xie; Xianfeng Tang; Chen Luo 003; Yang Li 055; Joyce C. Ho; Carl Yang 001; Qi He 002 (CoRR, 2024)

Evaluating the Impact of Lab Test Results on Large Language Models Generated Differential Diagnoses from Clinical Case Vignettes. - Balu Bhasuran; Qiao Jin 001; Yuzhang Xie; Carl Yang 001; Karim Hanna; Jennifer Costa; Cindy Shavor; Zhiyong Lu; Zhe He 001 (CoRR, 2024)

Knowledge Graph and Large Language Model Co-learning via Structure-oriented Retrieval Augmented Generation. - Carl Yang 001; Ran Xu 002; Linhao Luo; Shirui Pan (IEEE Data Eng. Bull., 2024)

A simple but tough-to-beat baseline for fMRI time-series classification. - Pavel Popov; Usman Mahmood; Zening Fu; Carl Yang 001; Vince D. Calhoun; Sergey M. Plis (NeuroImage, 2024)

Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization. - Zhenghong Lin; Qishan Yan; Weiming Liu 005; Shiping Wang; Menghan Wang; Yanchao Tan; Carl Yang 001 (IEEE Trans. Multim., 2024)

End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework. - Yao Su 003; Keqi Han; Mingjie Zeng; Lichao Sun 001; Liang Zhan; Carl Yang 001; Lifang He 001; Xiangnan Kong (AAAI Spring Symposia, 2025)

Causal Brain Connectivity: Integrating Granger Directed Graphs in fMRI Analysis. - Tianyi Zhang; Keqi Han; Jiawei Nie; Chenyu You; Sanne J. H. van Rooij; Jennifer S. Stevens; Boadie Dunlop; Charles Gillespie; Carl Yang 001 (AIME (2), 2025)

Piecing It All Together: Verifying Multi-Hop Multimodal Claims. - Haoran Wang 005; Aman Rangapur; Xiongxiao Xu; Yueqing Liang; Haroon Gharwi; Carl Yang 001; Kai Shu (COLING, 2025)

FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity. - Zihan Tan; Guancheng Wan; Wenke Huang; He Li; Guibin Zhang; Carl Yang 001; Mang Ye (CVPR, 2025)

Subgraph Federated Learning for Local Generalization. - Sungwon Kim 002; Yoonho Lee 002; Yunhak Oh; Namkyeong Lee; Sukwon Yun; Junseok Lee 002; Sein Kim; Carl Yang 001; Chanyoung Park 001 (ICLR, 2025)

Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification. - Yuanchen Bei; Weizhi Chen; Hao Chen 062; Sheng Zhou 004; Carl Ji Yang; Jiapei Fan; Longtao Huang; Jiajun Bu (KDD (1), 2025)

How to use Graph Data in the Wild to Help Graph Anomaly Detection? - Yuxuan Cao; Jiarong Xu; Chen Zhao; Jiaan Wang; Carl Ji Yang; Chunping Wang 001; Yang Yang 009 (KDD (1), 2025)

Future Matters for Present: Towards Effective Physical Simulation over Meshes. - Xiao Luo 001; Junyu Luo 002; Huiyu Jiang; Hang Zhou 008; Zhiping Xiao 001; Wei Ju 001; Carl Ji Yang; Ming Zhang 004; Yizhou Sun (KDD (1), 2025)

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. - Ran Xu 002; Hui Liu 031; Sreyashi Nag; Zhenwei Dai; Yaochen Xie; Xianfeng Tang; Chen Luo 003; Yang Li 055; Joyce C. Ho; Carl Yang 001; Qi He 002 (NAACL (Long Papers), 2025)

FedGrAINS: Personalized SubGraph Federated Learning with AdaptIve Neighbor Sampling. - Emir Ceyani; Han Xie; Baturalp Buyukates; Carl Yang 001; Salman Avestimehr (SDM, 2025)

MedAssist: LLM-Empowered Medical Assistant for Assisting the Scrutinization and Comprehension of Electronic Health Records. - Ran Xu 002; Wenqi Shi; Jonathan Wang; Jasmine Zhou; Carl Yang 001 (WWW (Companion Volume), 2025)

Integrating Large Language Models and Knowledge Graphs for Next-level AGI. - Linhao Luo; Carl Yang 001; Evgeny Kharlamov; Shirui Pan (WWW (Companion Volume), 2025)

Large Language Model Empowered Logical Relations Mining for Personalized Recommendation. - Yanchao Tan; Wanzi Shao; Guofang Ma; Carl Yang 001 (WWW (Companion Volume), 2025)

MaSH: Maximal Separating Poincaré Hyperplanes for Hierarchical Imbalanced Learning. - Bo Xiong; Jiaying Lu 001; Yuqicheng Zhu; Carl Yang 001 (WWW (Companion Volume), 2025)

A review on knowledge graphs for healthcare: Resources, applications, and promises. - Hejie Cui; Jiaying Lu 001; Ran Xu 002; Shiyu Wang 002; Wenjing Ma; Yue Yu 001; Shaojun Yu; Xuan Kan; Chen Ling 003; Liang Zhao 002; Zhaohui S. Qin; Joyce C. Ho; et al. (J. Biomed. Informatics, 2025)

Preliminary analysis of the impact of lab results on large language model generated differential diagnoses. - Balu Bhasuran; Qiao Jin 001; Yuzhang Xie; Carl Yang 001; Karim Hanna; Jennifer Costa; Cindy Shavor; Wenshan Han; Zhiyong Lu; Zhe He 001 (npj Digit. Medicine, 2025)

Graph Personalized Federated Learning via Client Network Learning. - Jiachen Zhou; Han Xie; Carl Yang 001 (Trans. Mach. Learn. Res., 2025)

Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help? - Keqi Han; Yao Su 003; Lifang He 001; Liang Zhan; Sergey M. Plis; Vince D. Calhoun; Carl Yang 001 (CoRR, 2025)

Mining Social Determinants of Health for Heart Failure Patient 30-Day Readmission via Large Language Model. - Mingchen Shao; Youjeong Kang; Xiao Hu 002; Gloria Hyun-Jung Kwak; Carl Yang 001; Jiaying Lu 001 (CoRR, 2025)

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis. - Xinpeng Wang; Rong Zhou; Han Xie; Xiaoying Tang; Lifang He 001; Carl Yang 001 (CoRR, 2025)

Scalable Graph Condensation with Evolving Capabilities. - Shengbo Gong; Mohammad Hashemi; Juntong Ni; Carl Yang 001; Wei Jin 009 (CoRR, 2025)

Node-level Contrastive Unlearning on Graph Neural Networks. - Hong-Kyu Lee; Qiuchen Zhang; Carl Yang 001; Li Xiong 001 (CoRR, 2025)

Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks. - Meiyu Lin; Haichuan Zhang; Jiale Lao; Renyuan Li; Yuanchun Zhou; Carl Yang 001; Yang Cao; Mingjie Tang (CoRR, 2025)

Identifying Evidence Subgraphs for Financial Risk Detection via Graph Counterfactual and Factual Reasoning. - Huaming Du; Lei Yuan; Qing Yang; Xingyan Chen; Yu Zhao 019; Han Ji; Fuzhen Zhuang; Carl Yang 001; Gang Kou (CoRR, 2025)

Privacy-Enhancing Paradigms within Federated Multi-Agent Systems. - Zitong Shi; Guancheng Wan; Wenke Huang; Guibin Zhang; Jiawei Shao; Mang Ye; Carl Yang 001 (CoRR, 2025)

Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks. - Zewen Liu 005; Xiaoda Wang; Bohan Wang; Zijie Huang 002; Carl Yang 001; Wei Jin 009 (CoRR, 2025)

Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration. - Ran Xu 002; Wenqi Shi; Yuchen Zhuang; Yue Yu 001; Joyce C. Ho; Haoyu Wang; Carl Yang 001 (CoRR, 2025)

Large Language Model Empowered Privacy-Protected Framework for PHI Annotation in Clinical Notes. - Guanchen Wu; Linzhi Zheng; Han Xie; Zhen Xiang; Jiaying Lu 001; Darren Liu; Delgersuren Bold; Bo Li 026; Xiao Hu 002; Carl Yang 001 (CoRR, 2025)

LENS: label sparsity-tolerant adversarial learning on spatial deceptive reviews. - Sirish Prabakar; Haiquan Chen; Zhe Jiang 001; Carl Yang 001; Weikuan Yu; Da Yan 001 (GeoInformatica, 2025)

CloneShield: A Framework for Universal Perturbation Against Zero-Shot Voice Cloning. - Renyuan Li; Zhibo Liang; Haichuan Zhang; Tianyu Shi; Zhiyuan Cheng 010; Jia Shi; Carl Yang 001; Mingjie Tang (CoRR, 2025)

Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing. - Shigeng Chen; Linhao Luo; Zhangchi Qiu; Yanan Cao 001; Carl Yang 001; Shirui Pan (CoRR, 2025)

MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale. - Ran Xu 002; Yuchen Zhuang; Yishan Zhong; Yue Yu 001; Xiangru Tang; Hang Wu; May D. Wang; Peifeng Ruan; Donghan Yang; Tao Wang 006; Guanghua Xiao; Carl Yang 001; et al. (CoRR, 2025)

Towards a general-purpose foundation model for fMRI analysis. - Cheng Wang; Yu Jiang; Zhihao Peng 002; Chenxin Li; Changbae Bang; Lin Zhao 004; Jinglei Lv; Jorge Sepulcre; Carl Yang 001; Lifang He 001; Tianming Liu 001; Daniel Barron; et al. (CoRR, 2025)

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs. - Yuzhang Xie; Hejie Cui; Ziyang Zhang; Jiaying Lu 001; Kai Shu; Fadi B. Nahab; Xiao-Hu Zhou; Carl Yang 001 (CoRR, 2025)

HypKG: Hypergraph-based Knowledge Graph Contextualization for Precision Healthcare. - Yuzhang Xie; Xu Han; Ran Xu 002; Xiao Hu 002; Jiaying Lu 001; Carl Yang 001 (CoRR, 2025)

RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation. - Ran Xu 002; Yuchen Zhuang; Yue Yu 001; Haoyu Wang; Wenqi Shi; Carl Yang 001 (CoRR, 2025)

Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking. - Shengbo Gong; Xianfeng Tang; Carl Yang 001; Wei Jin 009 (CoRR, 2025)

Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation. - Zhenghong Lin; Yanchao Tan; Jiamin Chen; Hengyu Zhang 001; Chaochao Chen 001; Shiping Wang; Carl Yang 001 (ACM Trans. Inf. Syst., 2025)