| 2026 | AAAI | Transferable Graph Condensation from the Causal Perspective. | Huaming Du, Yijie Huang, Su Yao, Yiying Wang, Yueyang Zhou, Jingwen Yang, Jinshi Zhang, Han Ji, Yu Zhao, Guisong Liu, Hegui Zhang, Carl Yang, Gang Kou |
| 2026 | ACL | Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking. | Shengbo Gong, Xianfeng Tang, Qi He, Carl Yang, Wei Jin |
| 2026 | ACL | OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment. | Tianci Liu, Ran Xu, Tony Yu, Ilgee Hong, Carl Yang, Tuo Zhao, Haoyu Wang |
| 2026 | ACL | RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation. | Ran Xu, Yuchen Zhuang, Yue Yu, Haoyu Wang, Wenqi Shi, Carl Yang |
| 2026 | DASFAA | Spatio-Temporal Fusion in Graph Neural Network for Streaming Knowledge Tracing. | Yi-Fei Wen, Hang Liang, Carl Yang, Wen-Bo Xie, Yajun Du, Xianyong Li, Yan-Li Lee |
| 2026 | EACL | Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing. | Shigeng Chen, Linhao Luo, Zhangchi Qiu, Yanan Cao, Carl Yang, Shirui Pan |
| 2026 | KDD | Scalable Graph Condensation with Evolving Capabilities. | Shengbo Gong, Mohammad Hashemi, Juntong Ni, Carl Yang, Wei Jin |
| 2026 | KDD | Awaken the Giant: Activating LLMs via Deep Model Guidance for Boundary-aware Medication Recommendation. | Hang Lv, Zixuan Guo, Yanchao Tan, Wanzi Shao, Hengyu Zhang, Carl Yang |
| 2026 | KDD | EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning. | Hengyu Zhang, Xuyun Zhang, Pengxiang Zhan, Linhao Luo, Hang Lv, Yanchao Tan, Shirui Pan, Carl Yang |
| 2026 | PAKDD | A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective. | Huaming Du, Cancan Feng, Yuqian Lei, Chenyang Zhang, Guisong Liu, Gang Kou, Carl Yang, Yu Zhao |
| 2026 | PAKDD | Prompt-Tuning with Attribute Guidance for Low-Resource Entity Matching. | Lihui Liu, Carl Yang |
| 2026 | WWW | Traceable Latent Variable Discovery Based on Multi-Agent Collaboration. | Huaming Du, Tao Hu, Yijie Huang, Yu Zhao, Guisong Liu, Tao Gu, Gang Kou, Carl Yang |
| 2026 | WWW | A Unified Framework for Rule Learning: Integrating Commonsense Knowledge from LLMs with Structured Knowledge from Knowledge Graphs. | Qirui Hao, Kewei Cheng, Tongze Zhang, Hongyuan Liu, Junming Shao, Carl Yang |
| 2026 | WWW | MixRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. | Lihui Liu, Jiayuan Ding, Subhabrata Mukherjee, Carl Yang |
| 2025 | AIME | 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 |
| 2025 | COLING | Piecing It All Together: Verifying Multi-Hop Multimodal Claims. | Haoran Wang, Aman Rangapur, Xiongxiao Xu, Yueqing Liang, Haroon Gharwi, Carl Yang, Kai Shu |
| 2025 | CVPR | FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity. | Zihan Tan, Guancheng Wan, Wenke Huang, He Li, Guibin Zhang, Carl Yang, Mang Ye |
| 2025 | EMNLP | Explainable Text Classification with LLMs: Enhancing Performance through Dialectical Prompting and Explanation-Guided Training. | Huaming Du, Lei Yuan, Cancan Feng, Guisong Liu, Gang Kou, Carl Yang |
| 2025 | EMNLP | Retrieval-augmented GUI Agents with Generative Guidelines. | Ran Xu, Kaixin Ma, Wenhao Yu, Hongming Zhang, Joyce C. Ho, Carl Yang, Dong Yu |
| 2025 | ICLR | Subgraph Federated Learning for Local Generalization. | Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | IJCAI | Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. | Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong |
| 2025 | KDD | FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | Carl Yang, Guancheng Wan, Zhuangdi Zhu, Zheng Xu, Junyuan Hong, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou |
| 2025 | KDD | A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and Healthcare. | Ran Xu, Patrick Jiang, Linhao Luo, Cao Xiao, Adam Cross, Shirui Pan, Jimeng Sun, Carl Yang |
| 2025 | KDD | Boosting E-commerce Content Diversity: A Graph-based RAG Approach with User Reviews. | Jiaxi Yang, Yiling Jia, Carl Yang, Yi Liang, Lu Lin |
| 2025 | KDD | Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks. | Zewen Liu, Xiaoda Wang, Bohan Wang, Zijie Huang, Carl Yang, Wei Jin |
| 2025 | KDD | Causal Discovery through Synergizing Large Language Model and Data-Driven Reasoning. | Huaming Du, Yujia Zheng, Baoyu Jing, Yu Zhao, Gang Kou, Guisong Liu, Tao Gu, Weimin Li, Carl Yang |
| 2025 | KDD | KDD Health Day 2025: Harnessing AI Opportunities in Biomedicine and Healthcare. | Peipei Ping, Wei Ding, Carl Yang |
| 2025 | NAACL | SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. | Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He |
| 2025 | WWW | MedAssist: LLM-Empowered Medical Assistant for Assisting the Scrutinization and Comprehension of Electronic Health Records. | Ran Xu, Wenqi Shi, Jonathan Wang, Jasmine Zhou, Carl Yang |
| 2025 | WWW | Integrating Large Language Models and Knowledge Graphs for Next-level AGI. | Linhao Luo, Carl Yang, Evgeny Kharlamov, Shirui Pan |
| 2025 | WWW | Large Language Model Empowered Logical Relations Mining for Personalized Recommendation. | Yanchao Tan, Wanzi Shao, Guofang Ma, Carl Yang |
| 2025 | WWW | MaSH: Maximal Separating Poincar Hyperplanes for Hierarchical Imbalanced Learning. | Bo Xiong, Jiaying Lu, Yuqicheng Zhu, Carl Yang |
| 2025 | SDM | FedGrAINS: Personalized SubGraph Federated Learning with AdaptIve Neighbor Sampling. | Emir Ceyani, Han Xie, Baturalp Buyukates, Carl Yang, Salman Avestimehr |
| 2024 | AAAI | 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 |
| 2024 | ACL | Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. | Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce C. Ho, Carl Yang |
| 2024 | ACL | RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. | Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May Dongmei Wang, Joyce C. Ho, Carl Yang |
| 2024 | CIKM | Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. | Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang |
| 2024 | CIKM | HypMix: Hyperbolic Representation Learning for Graphs with Mixed Hierarchical and Non-hierarchical Structures. | Eric Wonhee Lee, Bo Xiong, Carl Yang, Joyce C. Ho |
| 2024 | CIKM | Federated Node Classification over Distributed Ego-Networks with Secure Contrastive Embedding Sharing. | Han Xie, Li Xiong, Carl Yang |
| 2024 | EMNLP | BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. | Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang |
| 2024 | EMNLP | MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning. | Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May Dongmei Wang |
| 2024 | EMNLP | 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 |
| 2024 | ICDE | Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. | Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang |
| 2024 | KDD | Representation Learning of Temporal Graphs with Structural Roles. | Huaming Du, Long Shi, Xingyan Chen, Yu Zhao, Hegui Zhang, Carl Yang, Fuzhen Zhuang, Gang Kou |
| 2024 | KDD | FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | Junyuan Hong, Carl Yang, Zhuangdi Zhu, Zheng Xu, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou |
| 2024 | KDD | TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data. | Ziyang Zhang, Hejie Cui, Ran Xu, Yuzhang Xie, Joyce C. Ho, Carl Yang |
| 2024 | MICCAI | Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. | 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 |
| 2024 | WWW | Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process. | Jiaying Lu, Shifan Zhao, Wenjing Ma, Hui Shao, Xiao Hu, Yuanzhe Xi, Carl Yang |
| 2024 | WWW | BoxCare: A Box Embedding Model for Disease Representation and Diagnosis Prediction in Healthcare Data. | Hang Lv, Zehai Chen, Yacong Yang, Guofang Ma, Yanchao Tan, Carl Yang |
| 2024 | WWW | Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows. | Yanchao Tan, Hengyu Zhang, Zihao Zhou, Guofang Ma, Fan Wang, Weiming Liu, Xinting Liao, Vicki Stover Hertzberg, Carl Yang |
| 2024 | WWW | DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy. | Qiuchen Zhang, Hong-Kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong |
| 2024 | SIGIR | PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking. | Yuzhang Xie, Jiaying Lu, Joyce C. Ho, Fadi B. Nahab, Xiao Hu, Carl Yang |
| 2024 | WSDM | GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction. | Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li |
| 2024 | SDM | Helper Recommendation with seniority control in Online Health Community. | Junruo Gao, Chen Ling, Carl Yang, Liang Zhao |
| 2024 | SDM | Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. | Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang |
| 2023 | AAAI | 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 |
| 2023 | ACL | PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. | Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li |
| 2023 | EMNLP | MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields. | Jiaying Lu, Yongchen Qian, Shifan Zhao, Yuanzhe Xi, Carl Yang |
| 2023 | ICDE | Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. | Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang |
| 2023 | ICDE | Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks. | Carl Yang, Jiawei Han |
| 2023 | ICDM | Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression. | Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Stover Hertzberg, Carl Yang |
| 2023 | KDD | When to Pre-Train Graph Neural Networks? From Data Generation Perspective! | Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Zhang, Chunping Wang, Lei Chen, Yang Yang |
| 2023 | KDD | R-Mixup: Riemannian Mixup for Biological Networks. | Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang |
| 2023 | KDD | Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. | 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 |
| 2023 | WWW | Federated Node Classification over Graphs with Latent Link-type Heterogeneity. | Han Xie, Li Xiong, Carl Yang |
| 2023 | SIGIR | HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. | Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang |
| 2023 | SIGIR | Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training. | Ran Xu, Yue Yu, Joyce C. Ho, Carl Yang |
| 2022 | CIKM | On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. | Hejie Cui, Zijie Lu, Pan Li, Carl Yang |
| 2022 | CIKM | Partial Relaxed Optimal Transport for Denoised Recommendation. | Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Weiming Liu, Xiaolin Zheng |
| 2022 | CIKM | The 1st International Workshop on Federated Learning with Graph Data (FedGraph). | Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr |
| 2022 | ECIR | How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation. | Hejie Cui, Jiaying Lu, Yao Ge, Carl Yang |
| 2022 | EMNLP | Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. | Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Xun Chen, Lichao Sun |
| 2022 | ICDE | Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. | Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng |
| 2022 | ICLR | Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction. | Mingyue Tang, Pan Li, Carl Yang |
| 2022 | IJCAI | Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. | Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun |
| 2022 | KDD | BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning. | Junru Chen, Yang Yang, Tao Yu, Yingying Fan, Xiaolong Mo, Carl Yang |
| 2022 | KDD | 4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. | Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Vicki Hertzberg, Carl Yang |
| 2022 | KDD | Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. | Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang |
| 2022 | KDD | Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance. | Carl Yang, Hongwen Song, Mingyue Tang, Leon Danon, Ymir Vigfusson |
| 2022 | MICCAI | Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. | Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang |
| 2022 | NAACL | SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. | Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han |
| 2022 | WWW | KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. | Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han |
| 2022 | SIGIR | MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. | Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng |
| 2022 | SDM | Structure-Enhanced Heterogeneous Graph Contrastive Learning. | Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu |
| 2021 | CIKM | Lightweight Visual Question Answering using Scene Graphs. | Sai Vidyaranya Nuthalapati, Ramraj Chandradevan, Eleonora Giunchiglia, Bowen Li, Maxime Kayser, Thomas Lukasiewicz, Carl Yang |
| 2021 | ICDE | Multi-Facet Recommender Networks with Spherical Optimization. | Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng |
| 2021 | ICDM | Deep Generation of Heterogeneous Networks. | Chen Ling, Carl Yang, Liang Zhao |
| 2021 | IJCAI | Understanding Structural Vulnerability in Graph Convolutional Networks. | Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang |
| 2021 | IJCAI | 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 |
| 2021 | IJCAI | Secure Deep Graph Generation with Link Differential Privacy. | Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun |
| 2021 | IJCAI | TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract). | Carl Yang, Jieyu Zhang, Jiawei Han |
| 2021 | WWW | Controllable Gradient Item Retrieval. | Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He |
| 2021 | WSDM | Time-Series Event Prediction with Evolutionary State Graph. | Wenjie Hu, Yang Yang, Ziqiang Cheng, Carl Yang, Xiang Ren |
| 2021 | WSDM | Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network. | Yuanzhen Xie, Zijing Ou, Liang Chen, Yang Liu, Kun Xu, Carl Yang, Zibin Zheng |
| 2020 | ICDM | Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities. | Yingkui Wang, Di Jin, Carl Yang, Jianwu Dang |
| 2020 | ICDM | Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks. | Carl Yang, Jieyu Zhang, Jiawei Han |
| 2020 | IJCAI | When Do GNNs Work: Understanding and Improving Neighborhood Aggregation. | Yiqing Xie, Sha Li, Carl Yang, Raymond Chi-Wing Wong, Jiawei Han |
| 2020 | KDD | Unsupervised Differentiable Multi-aspect Network Embedding. | Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han |
| 2020 | KDD | MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. | Carl Yang, Aditya Pal, Andrew Zhai, Nikil Pancha, Jiawei Han, Charles Rosenberg, Jure Leskovec |
| 2020 | SIGIR | Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines. | Yang Liu, Xianzhuo Xia, Liang Chen, Xiangnan He, Carl Yang, Zibin Zheng |
| 2020 | SIGIR | Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization. | Carl Yang, Jieyu Zhang, Haonan Wang, Bangzheng Li, Jiawei Han |
| 2020 | WSDM | Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. | Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han |
| 2019 | CIKM | Query-Specific Knowledge Summarization with Entity Evolutionary Networks. | Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han |
| 2019 | ICDM | cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. | Carl Yang, Jiawei Han |
| 2019 | ICDM | Neural Embedding Propagation on Heterogeneous Networks. | Carl Yang, Jieyu Zhang, Jiawei Han |
| 2019 | IJCNN | RASE: Relationship Aware Social Embedding. | Aravind Sankar, Adit Krishnan, Zongjian He, Carl Yang |
| 2019 | WWW | Place Deduplication with Embeddings. | Carl Yang, Do Huy Hoang, Toms Mikolov, Jiawei Han |
| 2019 | SDM | Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness. | Carl Yang, Kevin Chang |
| 2018 | AAAI | 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 |
| 2018 | EuroPar | Design Principles for Sparse Matrix Multiplication on the GPU. | Carl Yang, Aydin Bulu, John D. Owens |
| 2018 | ICDE | Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding. | Carl Yang, Chao Zhang, Xuewen Chen, Jieping Ye, Jiawei Han |
| 2018 | ICDM | Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. | Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han |
| 2018 | ICPP | Implementing Push-Pull Efficiently in GraphBLAS. | Carl Yang, Aydin Bulu, John D. Owens |
| 2018 | KDD | I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. | Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han |
| 2017 | KDD | Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation. | Carl Yang, Lanxiao Bai, Chao Zhang, Quan Yuan, Jiawei Han |
| 2017 | WWW | Bi-directional Joint Inference for User Links and Attributes on Large Social Graphs. | Carl Yang, Lin Zhong, Li-Jia Li, Luo Jie |
| 2016 | HPDC | A Comparative Study on Exact Triangle Counting Algorithms on the GPU. | Leyuan Wang, Yangzihao Wang, Carl Yang, John D. Owens |