Carl Yang - RankMe

348 papers A* 75A 18B 7Journal 184Unranked 63

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Benchmark Analysis of Graph and Non-Graph Methods for Caenorhabditis Elegans Neuron Classification. CoRR Jingqi Lu, Keqi Han, Yun Wang, Lu Mi, Carl Yang
2026	A*	`conf`	A Unified Framework for Rule Learning: Integrating Commonsense Knowledge from LLMs with Structured Knowledge from Knowledge Graphs. WWW Qirui Hao, Kewei Cheng, Tongze Zhang, Hongyuan Liu, Junming Shao, Carl Yang
2026	J	`jnl`	Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training. CoRR Ran Xu, Tianci Liu, Zihan Dong, Tony Yu, Ilgee Hong, Carl Yang, Linjun Zhang, Tao Zhao, Haoyu Wang
2026	—	`conf`	Awaken the Giant: Activating LLMs via Deep Model Guidance for Boundary-aware Medication Recommendation. KDD (1) Hang Lv, Zixuan Guo, Yanchao Tan, Wanzi Shao, Hengyu Zhang, Carl Yang
2026	—	`conf`	Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing. EACL (Volume 1: Long Papers) Shigeng Chen, Linhao Luo, Zhangchi Qiu, Yanan Cao, Carl Yang, Shirui Pan
2026	J	`jnl`	Dialogue to Question Generation for Evidence-based Medical Guideline Agent Development. CoRR Zongliang Ji, Ziyang Zhang, Xincheng Tan, Matthew Thompson, Anna Goldenberg, Carl Yang, Rahul G. Krishnan, Fan Zhang
2026	J	`jnl`	Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey. ACM Comput. Surv. Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Dhagash Mehta, Stefano Pasquali, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Jian Pei, Carl Yang, Liang Zhao
2026	J	`jnl`	ECG-MoE: Mixture-of-Expert Electrocardiogram Foundation Model. CoRR Yuhao Xu, Xiaoda Wang, Yi Wu, Wei Jin, Xiao Hu, Carl Yang
2026	J	`jnl`	Enhanced Atrial Fibrillation Prediction in ESUS Patients with Hypergraph-based Pre-training. CoRR Yuzhang Xie, Yuhua Wu, Ruiyu Wang, Fadi B. Nahab, Xiao Hu, Carl Yang
2026	J	`jnl`	Enhanced recommendation with hypergraph mixture of experts. Expert Syst. Appl. Zihao Zhou, Zhijun Chen, Guofang Ma, Zhenghong Lin, Yanchao Tan, Shiping Wang, Carl Yang
2026	J	`jnl`	EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering for Enhanced Alignment and Reasoning. CoRR Mingyang Wei, Dehai Min, Zewen Liu, Yuzhang Xie, Guanchen Wu, Carl Yang, Max S. Y. Lau, Qi He, Lu Cheng, Wei Jin
2026	—	`conf`	EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning. KDD (1) Hengyu Zhang, Xuyun Zhang, Pengxiang Zhan, Linhao Luo, Hang Lv, Yanchao Tan, Shirui Pan, Carl Yang
2026	J	`jnl`	Graph-Oriented Instruction Tuning of Large Language Models for Generic Graph Mining. IEEE Trans. Pattern Anal. Mach. Intell. Yanchao Tan, Hang Lv, Pengxiang Zhan, Shiping Wang, Carl Yang
2026	J	`jnl`	Imaging-anchored Multiomics in Cardiovascular Disease: Integrating Cardiac Imaging, Bulk, Single-cell, and Spatial Transcriptomics. CoRR Minh H. N. Le, Tuan Vinh, Thanh-Huy Nguyen, Tao Li, Bao Quang Gia Le, Han H. Huynh, Monika Raj, Carl Yang, Min Xu, Nguyen Quoc Khanh Le
2026	J	`jnl`	LLM-MINE: Large Language Model based Alzheimer's Disease and Related Dementias Phenotypes Mining from Clinical Notes. CoRR Mingchen Shao, Yuzhang Xie, Carl Yang, Jiaying Lu
2026	J	`jnl`	MIRAGE: Knowledge Graph-Guided Cross-Cohort MRI Synthesis for Alzheimer's Disease Prediction. CoRR Guanchen Wu, Zhe Huang, Yuzhang Xie, Runze Yan, Akul Chopra, Deqiang Qiu, Xiao Hu, Fei Wang, Carl Yang
2026	A*	`conf`	MixRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. WWW Lihui Liu, Jiayuan Ding, Subhabrata Mukherjee, Carl Yang
2026	J	`jnl`	NutriOrion: A Hierarchical Multi-Agent Framework for Personalized Nutrition Intervention Grounded in Clinical Guidelines. CoRR Junwei Wu, Runze Yan, Hanqi Luo, Darren Liu, Minxiao Wang, Kimberly L. Townsend, Lydia S. Hartwig, Derek Milketinas, Xiao Hu, Carl Yang
2026	J	`jnl`	Position: General Alignment Has Hit a Ceiling; Edge Alignment Must Be Taken Seriously. CoRR Han Bao, Yue Huang, Xiaoda Wang, Zheyuan Zhang, Yujun Zhou, Carl Yang, Xiangliang Zhang, Yanfang Ye
2026	J	`jnl`	Prompt-tuning with Attribute Guidance for Low-resource Entity Matching. CoRR Lihui Liu, Carl Yang
2026	—	`conf`	Scalable Graph Condensation with Evolving Capabilities. KDD (1) Shengbo Gong, Mohammad Hashemi, Juntong Ni, Carl Yang, Wei Jin
2026	A*	`conf`	Traceable Latent Variable Discovery Based on Multi-Agent Collaboration. WWW Huaming Du, Tao Hu, Yijie Huang, Yu Zhao, Guisong Liu, Tao Gu, Gang Kou, Carl Yang
2026	J	`jnl`	Traceable Latent Variable Discovery Based on Multi-Agent Collaboration. CoRR Huaming Du, Tao Hu, Yijie Huang, Yu Zhao, Guisong Liu, Tao Gu, Gang Kou, Carl Yang
2026	A*	`conf`	Transferable Graph Condensation from the Causal Perspective. AAAI 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	J	`jnl`	Unveiling Fine-Grained Deceptive Patterns in Multimodal Fake News: An Explainable Neuro-Symbolic Framework With LVLMs. IEEE Trans. Pattern Anal. Mach. Intell. Dongxiao He, Yiqi Dong, Xiaobao Wang, Meng Ge, Carl Yang, Di Jin, Witold Pedrycz
2025	—	`conf`	A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and Healthcare. KDD (2) Ran Xu, Patrick Jiang, Linhao Luo, Cao Xiao, Adam Cross, Shirui Pan, Jimeng Sun, Carl Yang
2025	J	`jnl`	A review on knowledge graphs for healthcare: Resources, applications, and promises. J. Biomed. Informatics Hejie Cui, Jiaying Lu, Ran Xu, Shiyu Wang, Wenjing Ma, Yue Yu, Shaojun Yu, Xuan Kan, Chen Ling, Liang Zhao, Zhaohui S. Qin, Joyce C. Ho, Tianfan Fu, Jing Ma, Mengdi Huai, Fei Wang, Carl Yang
2025	J	`jnl`	AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play. CoRR Ran Xu, Yuchen Zhuang, Zihan Dong, Jonathan Wang, Yue Yu, Joyce C. Ho, Linjun Zhang, Haoyu Wang, Wenqi Shi, Carl Yang
2025	—	`conf`	An Electrocardiogram Multi-Task Benchmark with Comprehensive Evaluations and Insightful Findings. MedInfo Yuhao Xu, Jiaying Lu, Sirui Ding, Defu Cao, Xiao Hu, Carl Yang
2025	J	`jnl`	An Electrocardiogram Multi-task Benchmark with Comprehensive Evaluations and Insightful Findings. CoRR Yuhao Xu, Jiaying Lu, Sirui Ding, Defu Cao, Xiao Hu, Carl Yang
2025	J	`jnl`	Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks. CoRR Meiyu Lin, Haichuan Zhang, Jiale Lao, Renyuan Li, Yuanchun Zhou, Carl Yang, Yang Cao, Mingjie Tang
2025	J	`jnl`	Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks. Proc. ACM Manag. Data Meiyu Lin, Haichuan Zhang, Jiale Lao, Renyuan Li, Yuanchun Zhou, Carl Yang, Yang Cao, Mingjie Tang
2025	J	`jnl`	Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking. CoRR Shengbo Gong, Xianfeng Tang, Carl Yang, Wei Jin
2025	J	`jnl`	Beyond MedQA: Towards Real-world Clinical Decision Making in the Era of LLMs. CoRR Yunpeng Xiao, Carl Yang, Mark Mai, Xiao Hu, Kai Shu
2025	J	`jnl`	Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing. CoRR Shigeng Chen, Linhao Luo, Zhangchi Qiu, Yanan Cao, Carl Yang, Shirui Pan
2025	J	`jnl`	BioMedJImpact: A Comprehensive Dataset and LLM Pipeline for AI Engagement and Scientific Impact Analysis of Biomedical Journals. CoRR Ruiyu Wang, Yuzhang Xie, Xiao Hu, Carl Yang, Jiaying Lu
2025	—	`conf`	Boosting E-commerce Content Diversity: A Graph-based RAG Approach with User Reviews. KDD (2) Jiaxi Yang, Yiling Jia, Carl Yang, Yi Liang, Lu Lin
2025	A*	`conf`	BoxLM: Unifying Structures and Semantics of Medical Concepts for Diagnosis Prediction in Healthcare. ICML Yanchao Tan, Hang Lv, Yunfei Zhan, Guofang Ma, Bo Xiong, Carl Yang
2025	—	`conf`	Causal Brain Connectivity: Integrating Granger Directed Graphs in fMRI Analysis. AIME (2) Tianyi Zhang, Keqi Han, Jiawei Nie, Chenyu You, Sanne J. H. van Rooij, Jennifer S. Stevens, Boadie Dunlop, Charles Gillespie, Carl Yang
2025	—	`conf`	Causal Discovery through Synergizing Large Language Model and Data-Driven Reasoning. KDD (2) Huaming Du, Yujia Zheng, Baoyu Jing, Yu Zhao, Gang Kou, Guisong Liu, Tao Gu, Weimin Li, Carl Yang
2025	J	`jnl`	ClinNoteAgents: An LLM Multi-Agent System for Predicting and Interpreting Heart Failure 30-Day Readmission from Clinical Notes. CoRR Rongjia Zhou, Chengzhuo Li, Carl Yang, Jiaying Lu
2025	J	`jnl`	CloneShield: A Framework for Universal Perturbation Against Zero-Shot Voice Cloning. CoRR Renyuan Li, Zhibo Liang, Haichuan Zhang, Tianyu Shi, Zhiyuan Cheng, Jia Shi, Carl Yang, Mingjie Tang
2025	J	`jnl`	ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis. CoRR Xinpeng Wang, Rong Zhou, Han Xie, Xiaoying Tang, Lifang He, Carl Yang
2025	J	`jnl`	Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration. CoRR Ran Xu, Wenqi Shi, Yuchen Zhuang, Yue Yu, Joyce C. Ho, Haoyu Wang, Carl Yang
2025	—	`conf`	Conditional Neural ODE for Longitudinal Parkinson's Disease Progression Forecasting. BIBM Xiaoda Wang, Yuji Zhao, Kaiqiao Han, Xiao Luo, Sanne van Rooij, Jennifer Stevens, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2025	J	`jnl`	Conditional Neural ODE for Longitudinal Parkinson's Disease Progression Forecasting. CoRR Xiaoda Wang, Yuji Zhao, Kaiqiao Han, Xiao Luo, Sanne van Rooij, Jennifer Stevens, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2025	A*	`conf`	Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. IJCAI Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong
2025	A*	`conf`	EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification. ICML Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, He Li, Carl Yang, Mang Ye
2025	J	`jnl`	EnECG: Efficient Ensemble Learning for Electrocardiogram Multi-task Foundation Model. CoRR Yuhao Xu, Xiaoda Wang, Jiaying Lu, Sirui Ding, Defu Cao, Huaxiu Yao, Yan Liu, Xiao Hu, Carl Yang
2025	—	`conf`	End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework. AAAI Spring Symposia Yao Su, Keqi Han, Mingjie Zeng, Lichao Sun, Liang Zhan, Carl Yang, Lifang He, Xiangnan Kong
2025	J	`jnl`	End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework. CoRR Yao Su, Keqi Han, Mingjie Zeng, Lichao Sun, Liang Zhan, Carl Yang, Lifang He, Xiangnan Kong
2025	—	`conf`	Explainable Text Classification with LLMs: Enhancing Performance through Dialectical Prompting and Explanation-Guided Training. EMNLP (Findings) Huaming Du, Lei Yuan, Cancan Feng, Guisong Liu, Gang Kou, Carl Yang
2025	A	`conf`	FedGrAINS: Personalized SubGraph Federated Learning with AdaptIve Neighbor Sampling. SDM Emir Ceyani, Han Xie, Baturalp Buyukates, Carl Yang, Salman Avestimehr
2025	J	`jnl`	FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling. CoRR Emir Ceyani, Han Xie, Baturalp Buyukates, Carl Yang, Salman Avestimehr
2025	—	`conf`	FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. KDD (2) Carl Yang, Guancheng Wan, Zhuangdi Zhu, Zheng Xu, Junyuan Hong, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou
2025	A*	`conf`	FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity. CVPR Zihan Tan, Guancheng Wan, Wenke Huang, He Li, Guibin Zhang, Carl Yang, Mang Ye
2025	J	`jnl`	GMAgent: A Graph-oriented Multi-agent Collaboration Framework for Text-attributed Graph Analysis. Trans. Mach. Learn. Res. Hang Lv, Pengxiang Zhan, Yanchao Tan, Zixuan Guo, Shiping Wang, Carl Yang
2025	J	`jnl`	Generalist vs Specialist Time Series Foundation Models: Investigating Potential Emergent Behaviors in Assessing Human Health Using PPG Signals. CoRR Saurabh Kataria, Yi Wu, Zhaoliang Chen, Gloria Hyunjung Kwak, Yuhao Xu, Lovely Yeswanth Panchumarthi, Ran Xiao, Jiaying Lu, Ayca Ermis, Anni Zhao, Runze Yan, Alex Federov, Zewen Liu, Xu Wu, Wei Jin, Carl Yang, Jocelyn Grunwell, Stephanie R. Brown, Amit J. Shah, Craig S. Jabaley, Timothy G. Buchman, Sivasubramanium V. Bhavani, Randall J. Lee, Xiao Hu
2025	—	`conf`	Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks. KDD (2) Zewen Liu, Xiaoda Wang, Bohan Wang, Zijie Huang, Carl Yang, Wei Jin
2025	J	`jnl`	Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks. CoRR Zewen Liu, Xiaoda Wang, Bohan Wang, Zijie Huang, Carl Yang, Wei Jin
2025	J	`jnl`	Graph Personalized Federated Learning via Client Network Learning. Trans. Mach. Learn. Res. Jiachen Zhou, Han Xie, Carl Yang
2025	A*	`conf`	GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning. ICML 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	J	`jnl`	How to Use Graph Data in the Wild to Help Graph Anomaly Detection? CoRR Yuxuan Cao, Jiarong Xu, Chen Zhao, Jiaan Wang, Carl Yang, Chunping Wang, Yang Yang
2025	—	`conf`	HypKG: Hypergraph-Based Knowledge Graph Contextualization for Precision Healthcare. ISWC (1) Yuzhang Xie, Xu Han, Ran Xu, Xiao Hu, Jiaying Lu, Carl Yang
2025	J	`jnl`	HypKG: Hypergraph-based Knowledge Graph Contextualization for Precision Healthcare. CoRR Yuzhang Xie, Xu Han, Ran Xu, Xiao Hu, Jiaying Lu, Carl Yang
2025	J	`jnl`	Identifying Evidence Subgraphs for Financial Risk Detection via Graph Counterfactual and Factual Reasoning. CoRR Huaming Du, Lei Yuan, Qing Yang, Xingyan Chen, Yu Zhao, Han Ji, Fuzhen Zhuang, Carl Yang, Gang Kou
2025	J	`jnl`	Incentivizing Agentic Reasoning in LLM Judges via Tool-Integrated Reinforcement Learning. CoRR Ran Xu, Jingjing Chen, Jiayu Ye, Yu Wu, Jun Yan, Carl Yang, Hongkun Yu
2025	—	`conf`	Integrating Large Language Models and Knowledge Graphs for Next-level AGI. WWW (Companion Volume) Linhao Luo, Carl Yang, Evgeny Kharlamov, Shirui Pan
2025	—	`conf`	KDD Health Day 2025: Harnessing AI Opportunities in Biomedicine and Healthcare. KDD (2) Peipei Ping, Wei Ding, Carl Yang
2025	J	`jnl`	KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs. CoRR Yuzhang Xie, Hejie Cui, Ziyang Zhang, Jiaying Lu, Kai Shu, Fadi B. Nahab, Xiao-Hu Zhou, Carl Yang
2025	J	`jnl`	Knowledge Graph Augmented Large Language Models for Disease Prediction. CoRR Ruiyu Wang, Tuan Vinh, Ran Xu, Yuyin Zhou, Jiaying Lu, Carl Yang, Francisco Pasquel
2025	J	`jnl`	LENS: label sparsity-tolerant adversarial learning on spatial deceptive reviews. GeoInformatica Sirish Prabakar, Haiquan Chen, Zhe Jiang, Carl Yang, Weikuan Yu, Da Yan
2025	J	`jnl`	LLMKG＋: Systematically improving knowledge quality and coverage in KGs using LLMs - A case study in medical domain. AI Open Xincan Feng, Hejie Cui, Kazuki Hayashi, Huy Hien Vu, Kenta T. Suzuki, Noriki Nishida, Hidetaka Kamigaito, Yuji Matsumoto, Taro Watanabe, Carl Yang
2025	—	`conf`	Large Language Model Empowered Logical Relations Mining for Personalized Recommendation. WWW (Companion Volume) Yanchao Tan, Wanzi Shao, Guofang Ma, Carl Yang
2025	—	`conf`	Large Language Model Empowered Privacy-Protected Framework for PHI Annotation in Clinical Notes. MedInfo Guanchen Wu, Linzhi Zheng, Han Xie, Zhen Xiang, Jiaying Lu, Darren Liu, Delgersuren Bold, Bo Li, Xiao Hu, Carl Yang
2025	J	`jnl`	Large Language Model Empowered Privacy-Protected Framework for PHI Annotation in Clinical Notes. CoRR Guanchen Wu, Linzhi Zheng, Han Xie, Zhen Xiang, Jiaying Lu, Darren Liu, Delgersuren Bold, Bo Li, Xiao Hu, Carl Yang
2025	J	`jnl`	MANI-Pure: Magnitude-Adaptive Noise Injection for Adversarial Purification. CoRR Xiaoyi Huang, Junwei Wu, Kejia Zhang, Carl Yang, Zhiming Luo
2025	—	`conf`	MaSH: Maximal Separating Poincaré Hyperplanes for Hierarchical Imbalanced Learning. WWW (Companion Volume) Bo Xiong, Jiaying Lu, Yuqicheng Zhu, Carl Yang
2025	J	`jnl`	MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale. CoRR Ran Xu, Yuchen Zhuang, Yishan Zhong, Yue Yu, Xiangru Tang, Hang Wu, May D. Wang, Peifeng Ruan, Donghan Yang, Tao Wang, Guanghua Xiao, Carl Yang, Yang Xie, Wenqi Shi
2025	A*	`conf`	MedAlign: Enhancing Combinatorial Medication Recommendation with Multi-modality Alignment. ACM Multimedia Hang Lv, Zixuan Guo, Zijie Wu, Yanchao Tan, Guofang Ma, Zhigang Lin, Xiping Chen, Hong Cheng, Carl Yang
2025	—	`conf`	MedAssist: LLM-Empowered Medical Assistant for Assisting the Scrutinization and Comprehension of Electronic Health Records. WWW (Companion Volume) Ran Xu, Wenqi Shi, Jonathan Wang, Jasmine Zhou, Carl Yang
2025	—	`conf`	Medical Retrieval-Augmentation Generation Framework for Healthcare Prediction. MedInfo Yanchao Tan, Jie Zhang, Jiamin Zhuang, Guofang Ma, Carl Yang
2025	—	`conf`	Mining Social Determinants of Health for Heart Failure Patient 30-Day Readmission via Large Language Model. MedInfo Mingchen Shao, Youjeong Kang, Xiao Hu, Gloria Hyunjung Kwak, Carl Yang, Jiaying Lu
2025	J	`jnl`	Mining Social Determinants of Health for Heart Failure Patient 30-Day Readmission via Large Language Model. CoRR Mingchen Shao, Youjeong Kang, Xiao Hu, Gloria Hyun-Jung Kwak, Carl Yang, Jiaying Lu
2025	—	`conf`	Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM. MedInfo Hejie Cui, Xinyu Fang, Ran Xu, Xuan Kan, Joyce C. Ho, Carl Yang
2025	J	`jnl`	Node-level Contrastive Unlearning on Graph Neural Networks. CoRR Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Li Xiong
2025	J	`jnl`	OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment. CoRR Tianci Liu, Ran Xu, Tony Yu, Ilgee Hong, Carl Yang, Tuo Zhao, Haoyu Wang
2025	J	`jnl`	PPG-Distill: Efficient Photoplethysmography Signals Analysis via Foundation Model Distillation. CoRR Juntong Ni, Saurabh Kataria, Shengpu Tang, Carl Yang, Xiao Hu, Wei Jin
2025	J	`jnl`	Peeling Context from Cause for Multimodal Molecular Property Prediction. CoRR Tao Li, Kaiyuan Hou, Tuan Vinh, Carl Yang, Monika Raj
2025	B	`conf`	Piecing It All Together: Verifying Multi-Hop Multimodal Claims. COLING Haoran Wang, Aman Rangapur, Xiongxiao Xu, Yueqing Liang, Haroon Gharwi, Carl Yang, Kai Shu
2025	J	`jnl`	Preliminary analysis of the impact of lab results on large language model generated differential diagnoses. npj Digit. Medicine Balu Bhasuran, Qiao Jin, Yuzhang Xie, Carl Yang, Karim Hanna, Jennifer Costa, Cindy Shavor, Wenshan Han, Zhiyong Lu, Zhe He
2025	J	`jnl`	Privacy-Enhancing Paradigms within Federated Multi-Agent Systems. CoRR Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, Jiawei Shao, Mang Ye, Carl Yang
2025	A	`ed.`	Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 CIKM Meeyoung Cha, Chanyoung Park, Noseong Park, Carl Yang, Senjuti Basu Roy, Jessie Li, Jaap Kamps, Kijung Shin, Bryan Hooi, Lifang He
2025	J	`jnl`	RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation. CoRR Ran Xu, Yuchen Zhuang, Yue Yu, Haoyu Wang, Wenqi Shi, Carl Yang
2025	J	`jnl`	Report on the 34th ACM Conference on Information and Knowledge Management (CIKM 2025). SIGIR Forum Carl Yang, Senjuti Basu Roy, Zhenhui Jessie Li, Jaap Kamps, Meeyoung Cha, Chanyoung Park, Noseong Park
2025	J	`jnl`	Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help? CoRR Keqi Han, Yao Su, Lifang He, Liang Zhan, Sergey M. Plis, Vince D. Calhoun, Carl Yang
2025	A*	`conf`	Retrieval-augmented GUI Agents with Generative Guidelines. EMNLP Ran Xu, Kaixin Ma, Wenhao Yu, Hongming Zhang, Joyce C. Ho, Carl Yang, Dong Yu
2025	J	`jnl`	Retrieval-augmented GUI Agents with Generative Guidelines. CoRR Ran Xu, Kaixin Ma, Wenhao Yu, Hongming Zhang, Joyce C. Ho, Carl Yang, Dong Yu
2025	J	`jnl`	Scalable Graph Condensation with Evolving Capabilities. CoRR Shengbo Gong, Mohammad Hashemi, Juntong Ni, Carl Yang, Wei Jin
2025	J	`jnl`	Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs. CoRR Meng Lu, Ran Xu, Yi Fang, Wenxuan Zhang, Yue Yu, Gaurav Srivastava, Yuchen Zhuang, Mohamed Elhoseiny, Charles Fleming, Carl Yang, Zhengzhong Tu, Yang Xie, Guanghua Xiao, Hanrui Wang, Di Jin, Wenqi Shi, Xuan Wang
2025	J	`jnl`	Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI. CoRR Zheng Huang, Enpei Zhang, Yinghao Cai, Weikang Qiu, Carl Yang, Elynn Chen, Xiang Zhang, Rex Ying, Dawei Zhou, Yujun Yan
2025	J	`jnl`	Sequential contrastive learning for progressive knowledge tracing. Knowl. Based Syst. Yi-Fei Wen, Hang Liang, Carl Yang, Tao Zhou, Jia Liu, Yajun Du, Yan-Li Lee
2025	—	`conf`	SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. NAACL (Long Papers) Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He
2025	J	`jnl`	Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation. CoRR Xiaoda Wang, Kaiqiao Han, Yuhao Xu, Xiao Luo, Yizhou Sun, Wei Wang, Carl Yang
2025	A*	`conf`	Subgraph Federated Learning for Local Generalization. ICLR Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park
2025	J	`jnl`	Subgraph Federated Learning for Local Generalization. CoRR Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park
2025	J	`jnl`	The State of GenAI at a Top-Tier Computer Science Conference. SIGIR Forum Jaap Kamps, Carl Yang
2025	J	`jnl`	Towards Automatic Evaluation and Selection of PHI De-identification Models via Multi-Agent Collaboration. CoRR Guanchen Wu, Zuhui Chen, Yuzhang Xie, Carl Yang
2025	J	`jnl`	Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models. CoRR Victoria Yan, Honor Chotkowski, Fengran Wang, Xinhui Li, Jessica L. Saurman, Fadi B. Nahab, David Loring, Carl Yang, Jiaying Lu, Runze Yan, Xiao Hu, Alex Fedorov
2025	J	`jnl`	Towards a general-purpose foundation model for fMRI analysis. CoRR Cheng Wang, Yu Jiang, Zhihao Peng, Chenxin Li, Changbae Bang, Lin Zhao, Jinglei Lv, Jorge Sepulcre, Carl Yang, Lifang He, Tianming Liu, Daniel Barron, Quanzheng Li, Randy Hirschtick, Byung-Hoon Kim, Xiang Li, Yixuan Yuan
2025	—	`conf`	Type 2 Diabetes Subtyping via Phenotype and Genotype Co-Learning. MedInfo Ziyang Zhang, Lily Wang, Weimin Meng, Chang Liu, Hui Shao, Yan V. Sun, Jingchuan Guo, Jiang Bian, Rui Yin, Carl Yang
2025	J	`jnl`	Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation. ACM Trans. Inf. Syst. Zhenghong Lin, Yanchao Tan, Jiamin Chen, Hengyu Zhang, Chaochao Chen, Shiping Wang, Carl Yang
2025	—	`conf`	Utilizing Large Language Models for Zero-Shot Medical Ontology Extension from Clinical Notes. BIBM Guanchen Wu, Yuzhang Xie, Huanwei Wu, Zhe He, Hui Shao, Xiao Hu, Carl Yang
2025	J	`jnl`	Utilizing Large Language Models for Zero-Shot Medical Ontology Extension from Clinical Notes. CoRR Guanchen Wu, Yuzhang Xie, Huanwei Wu, Zhe He, Hui Shao, Xiao Hu, Carl Yang
2024	—	`conf`	A Pure Transformer Pretraining Framework on Text-Attributed Graphs. LoG Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu
2024	J	`jnl`	A Pure Transformer Pretraining Framework on Text-attributed Graphs. CoRR Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu
2024	J	`jnl`	A simple but tough-to-beat baseline for fMRI time-series classification. NeuroImage Pavel Popov, Usman Mahmood, Zening Fu, Carl Yang, Vince D. Calhoun, Sergey M. Plis
2024	J	`jnl`	Are Synthetic Time-series Data Really not as Good as Real Data? CoRR Fanzhe Fu, Junru Chen, Jing Zhang, Carl Yang, Lvbin Ma, Yang Yang
2024	J	`jnl`	Attack as Defense: Run-time Backdoor Implantation for Image Content Protection. CoRR Haichuan Zhang, Meiyu Lin, Zhaoyi Liu, Renyuan Li, Zhiyuan Cheng, Carl Yang, Mingjie Tang
2024	J	`jnl`	Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization. IEEE Trans. Multim. Zhenghong Lin, Qishan Yan, Weiming Liu, Shiping Wang, Menghan Wang, Yanchao Tan, Carl Yang
2024	A*	`conf`	BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. EMNLP Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang
2024	J	`jnl`	BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. CoRR Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May D. Wang, Joyce C. Ho, Chao Zhang, Carl Yang
2024	J	`jnl`	Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models. CoRR 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
2024	A*	`conf`	Biomedical Visual Instruction Tuning with Clinician Preference Alignment. NeurIPS Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang
2024	J	`jnl`	Biomedical Visual Instruction Tuning with Clinician Preference Alignment. CoRR Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang
2024	J	`jnl`	Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation. CoRR Jiaming Shen, Ran Xu, Yennie Jun, Zhen Qin, Tianqi Liu, Carl Yang, Yi Liang, Simon Baumgartner, Michael Bendersky
2024	—	`conf`	BoxCare: A Box Embedding Model for Disease Representation and Diagnosis Prediction in Healthcare Data. WWW (Companion Volume) Hang Lv, Zehai Chen, Yacong Yang, Guofang Ma, Yanchao Tan, Carl Yang
2024	—	`conf`	BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. BHI Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Ying Guo, Yang Yang, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2024	J	`jnl`	BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. CoRR Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2024	J	`jnl`	CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. CoRR Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang
2024	A	`conf`	Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. CIKM Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang
2024	J	`jnl`	Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. CoRR Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong
2024	J	`jnl`	Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification. CoRR Yuanchen Bei, Weizhi Chen, Hao Chen, Sheng Zhou, Carl Yang, Jiapei Fan, Longtao Huang, Jiajun Bu
2024	A*	`conf`	DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy. WWW Qiuchen Zhang, Hong-Kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong
2024	A	`conf`	Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. SDM Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang
2024	J	`jnl`	Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. CoRR Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang
2024	A*	`conf`	Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module. NeurIPS Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li
2024	J	`jnl`	EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. CoRR Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May D. Wang
2024	A*	`conf`	EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records. EMNLP Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang
2024	—	`conf`	Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows. WWW (Companion Volume) Yanchao Tan, Hengyu Zhang, Zihao Zhou, Guofang Ma, Fan Wang, Weiming Liu, Xinting Liao, Vicki Stover Hertzberg, Carl Yang
2024	J	`jnl`	Evaluating the Impact of Lab Test Results on Large Language Models Generated Differential Diagnoses from Clinical Case Vignettes. CoRR Balu Bhasuran, Qiao Jin, Yuzhang Xie, Carl Yang, Karim Hanna, Jennifer Costa, Cindy Shavor, Zhiyong Lu, Zhe He
2024	J	`jnl`	Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes. CoRR 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
2024	A	`conf`	ExpertODE: Continuous Diagnosis Prediction with Expert Enhanced Neural Ordinary Differential Equations. ICME Hengyu Zhang, Hang Lv, Yanchao Tan, Guofang Ma, Fan Wang, Carl Yang
2024	A*	`conf`	FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. KDD Junyuan Hong, Carl Yang, Zhuangdi Zhu, Zheng Xu, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou
2024	A	`conf`	Federated Node Classification over Distributed Ego-Networks with Secure Contrastive Embedding Sharing. CIKM Han Xie, Li Xiong, Carl Yang
2024	—	`conf`	From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR. CHIL Ran Xu, Yiwen Lu, Chang Liu, Yong Chen, Yan Sun, Xiao Hu, Joyce C. Ho, Carl Yang
2024	J	`jnl`	From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR. CoRR Ran Xu, Yiwen Lu, Chang Liu, Yong Chen, Yan Sun, Xiao Hu, Joyce C. Ho, Carl Yang
2024	A	`conf`	GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction. WSDM Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li
2024	J	`jnl`	GC-Bench: A Benchmark Framework for Graph Condensation with New Insights. CoRR Shengbo Gong, Juntong Ni, Noveen Sachdeva, Carl Yang, Wei Jin
2024	J	`jnl`	GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning. CoRR Zhen Xiang, Linzhi Zheng, YanJie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li
2024	A	`conf`	Helper Recommendation with seniority control in Online Health Community. SDM Junruo Gao, Chen Ling, Carl Yang, Liang Zhao
2024	A	`conf`	HypMix: Hyperbolic Representation Learning for Graphs with Mixed Hierarchical and Non-hierarchical Structures. CIKM Eric Wonhee Lee, Bo Xiong, Carl Yang, Joyce C. Ho
2024	J	`jnl`	Integrating Planning into Single-Turn Long-Form Text Generation. CoRR Yi Liang, You Wu, Honglei Zhuang, Li Chen, Jiaming Shen, Yiling Jia, Zhen Qin, Sumit Sanghai, Xuanhui Wang, Carl Yang, Michael Bendersky
2024	—	`conf`	Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. MICCAI (2) 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	J	`jnl`	Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. CoRR 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
2024	J	`jnl`	Knowledge Graph and Large Language Model Co-learning via Structure-oriented Retrieval Augmented Generation. IEEE Data Eng. Bull. Carl Yang, Ran Xu, Linhao Luo, Shirui Pan
2024	—	`conf`	Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. ACL (Findings) Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce C. Ho, Carl Yang
2024	J	`jnl`	LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction. CoRR Hejie Cui, Zhuocheng Shen, Jieyu Zhang, Hui Shao, Lianhui Qin, Joyce C. Ho, Carl Yang
2024	A*	`conf`	Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. ICDE Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang
2024	J	`jnl`	Measuring Spiritual Values and Bias of Large Language Models. CoRR Songyuan Liu, Ziyang Zhang, Runze Yan, Wei Wu, Carl Yang, Jiaying Lu
2024	A*	`conf`	MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning. EMNLP Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May Dongmei Wang
2024	J	`jnl`	MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning. CoRR Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Hang Wu, Carl Yang, May D. Wang
2024	—	`conf`	Multi-task Learning for Brain Network Analysis in the ABCD Study. BHI Xuan Kan, Hejie Cui, Keqi Han, Ying Guo, Carl Yang
2024	J	`jnl`	Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM. CoRR Hejie Cui, Xinyu Fang, Ran Xu, Xuan Kan, Joyce C. Ho, Carl Yang
2024	J	`jnl`	MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining. CoRR Yanchao Tan, Hang Lv, Xinyi Huang, Jiawei Zhang, Shiping Wang, Carl Yang
2024	J	`jnl`	Piecing It All Together: Verifying Multi-Hop Multimodal Claims. CoRR Haoran Wang, Aman Rangapur, Xiongxiao Xu, Yueqing Liang, Haroon Gharwi, Carl Yang, Kai Shu
2024	A*	`conf`	PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking. SIGIR Yuzhang Xie, Jiaying Lu, Joyce C. Ho, Fadi B. Nahab, Xiao Hu, Carl Yang
2024	J	`jnl`	PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking. CoRR Yuzhang Xie, Jiaying Lu, Joyce C. Ho, Fadi B. Nahab, Xiao Hu, Carl Yang
2024	—	`conf`	RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. ACL (Short Papers) Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May Dongmei Wang, Joyce C. Ho, Carl Yang
2024	J	`jnl`	RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. CoRR Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May D. Wang, Joyce C. Ho, Carl Yang
2024	A*	`conf`	Representation Learning of Temporal Graphs with Structural Roles. KDD Huaming Du, Long Shi, Xingyan Chen, Yu Zhao, Hegui Zhang, Carl Yang, Fuzhen Zhuang, Gang Kou
2024	J	`jnl`	SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. CoRR Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He
2024	A*	`conf`	TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data. KDD Ziyang Zhang, Hejie Cui, Ran Xu, Yuzhang Xie, Joyce C. Ho, Carl Yang
2024	J	`jnl`	TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data. CoRR Ziyang Zhang, Hejie Cui, Ran Xu, Yuzhang Xie, Joyce C. Ho, Carl Yang
2024	—	`conf`	Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process. WWW (Companion Volume) Jiaying Lu, Shifan Zhao, Wenjing Ma, Hui Shao, Xiao Hu, Yuanzhe Xi, Carl Yang
2024	A*	`conf`	Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning. AAAI Yiqi Dong, Dongxiao He, Xiaobao Wang, Youzhu Jin, Meng Ge, Carl Yang, Di Jin
2023	J	`jnl`	A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises. CoRR 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
2023	J	`jnl`	Adversarial Attack and Defense on Graph Data: A Survey. IEEE Trans. Knowl. Data Eng. Lichao Sun, Yingtong Dou, Carl Yang, Kai Zhang, Ji Wang, Philip S. Yu, Lifang He, Bo Li
2023	A*	`conf`	Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks. NeurIPS Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, Yang Yang
2023	J	`jnl`	Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks. CoRR Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, Yang Yang
2023	J	`jnl`	Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. CoRR 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
2023	J	`jnl`	BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks. IEEE Trans. Medical Imaging Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
2023	J	`jnl`	BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning. CoRR Junru Chen, Yang Yang, Tao Yu, Yingying Fan, Xiaolong Mo, Carl Yang
2023	A*	`conf`	Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation. ACM Multimedia Zhenghong Lin, Yanchao Tan, Yunfei Zhan, Weiming Liu, Fan Wang, Chaochao Chen, Shiping Wang, Carl Yang
2023	J	`jnl`	Cross-Modal Data Augmentation for Tasks of Different Modalities. IEEE Trans. Multim. Dong Chen, Yueting Zhuang, Zijin Shen, Carl Yang, Guoming Wang, Siliang Tang, Yi Yang
2023	—	`conf`	Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. ISBI Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2023	J	`jnl`	Deep Graph Neural Networks via Flexible Subgraph Aggregation. CoRR Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Di Jin, Carl Yang, Rui Zhang
2023	A*	`conf`	Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. ICDE Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang
2023	—	`conf`	Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis. BHI Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl Yang
2023	J	`jnl`	Dynamic Brain Transformer with Multi-level Attention for Functional Brain Network Analysis. CoRR Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl Yang
2023	A*	`conf`	Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression. ICDM Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Stover Hertzberg, Carl Yang
2023	J	`jnl`	Evaluation and Mitigation of Agnosia in Multimodal Large Language Models. CoRR Jiaying Lu, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Baochen Sun, Carl Yang, Jie Yang
2023	A*	`conf`	FedAA: Using Non-sensitive Modalities to Improve Federated Learning while Preserving Image Privacy. ACM Multimedia Dong Chen, Siliang Tang, Zijin Shen, Guoming Wang, Jun Xiao, Yueting Zhuang, Carl Yang
2023	A*	`conf`	Federated Node Classification over Graphs with Latent Link-type Heterogeneity. WWW Han Xie, Li Xiong, Carl Yang
2023	J	`jnl`	Finding High-Quality Item Attributes for Recommendation. IEEE Trans. Knowl. Data Eng. Xiaolin Zheng, Yanchao Tan, Yan Wang, Xiangyu Wei, Shengjia Zhang, Chaochao Chen, Longfei Li, Carl Yang
2023	J	`jnl`	GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction. CoRR Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li
2023	J	`jnl`	GCN for HIN via Implicit Utilization of Attention and Meta-Paths. IEEE Trans. Knowl. Data Eng. Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han
2023	—	`conf`	Graph Neural Network Modeling of Web Search Activity for Real-time Pandemic Forecasting. ICHI Chen Lin, Jianghong Zhou, Jing Zhang, Carl Yang, Eugene Agichtein
2023	A*	`conf`	Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. KDD 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	J	`jnl`	Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. CoRR 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	J	`jnl`	Helper Recommendation with seniority control in Online Health Community. CoRR Junruo Gao, Chen Ling, Carl Yang, Liang Zhao
2023	A*	`conf`	HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. SIGIR Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang
2023	J	`jnl`	HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. CoRR Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang
2023	J	`jnl`	Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. CoRR Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce C. Ho, Carl Yang
2023	J	`jnl`	Motif-guided heterogeneous graph deep generation. Knowl. Inf. Syst. Chen Ling, Carl Yang, Liang Zhao
2023	—	`conf`	MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields. EMNLP (Findings) Jiaying Lu, Yongchen Qian, Shifan Zhao, Yuanzhe Xi, Carl Yang
2023	J	`jnl`	MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields. CoRR Jiaying Lu, Yongchen Qian, Shifan Zhao, Yuanzhe Xi, Carl Yang
2023	A*	`conf`	Neighborhood-Regularized Self-Training for Learning with Few Labels. AAAI Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang
2023	J	`jnl`	Neighborhood-Regularized Self-Training for Learning with Few Labels. CoRR Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang
2023	A*	`conf`	Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting. NeurIPS Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang
2023	J	`jnl`	Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting. CoRR Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang
2023	—	`conf`	PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis. CHIL Yi Yang, Hejie Cui, Carl Yang
2023	J	`jnl`	PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis. CoRR Yi Yang, Hejie Cui, Carl Yang
2023	—	`conf`	PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. ACL (Findings) Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li
2023	J	`jnl`	PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. CoRR Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li
2023	A*	`conf`	R-Mixup: Riemannian Mixup for Biological Networks. KDD Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang
2023	J	`jnl`	R-Mixup: Riemannian Mixup for Biological Networks. CoRR Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang
2023	A*	`conf`	Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks. ICDE Carl Yang, Jiawei Han
2023	—	`conf`	Transformer-Based Hierarchical Clustering for Brain Network Analysis. ISBI Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne J. H. van Rooij, Carl Yang
2023	J	`jnl`	Transformer-Based Hierarchical Clustering for Brain Network Analysis. CoRR Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne J. H. van Rooij, Carl Yang
2023	A*	`conf`	WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding. NeurIPS Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang
2023	J	`jnl`	Weakly Supervised Concept Map Generation Through Task-Guided Graph Translation. IEEE Trans. Knowl. Data Eng. Jiaying Lu, Xiangjue Dong, Carl Yang
2023	A*	`conf`	Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training. SIGIR Ran Xu, Yue Yu, Joyce C. Ho, Carl Yang
2023	J	`jnl`	Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training. CoRR Ran Xu, Yue Yu, Joyce C. Ho, Carl Yang
2023	A*	`conf`	When to Pre-Train Graph Neural Networks? From Data Generation Perspective! KDD Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Zhang, Chunping Wang, Lei Chen, Yang Yang
2023	—	`conf`	øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder. CHIL Mingyue Tang, Jiechao Gao, Guimin Dong, Carl Yang, Bradford Campbell, Brendan Bowman, Jamie Marie Zoellner, Emaad Abdel-Rahman, Mehdi Boukhechba
2022	A*	`conf`	4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. KDD Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Vicki Hertzberg, Carl Yang
2022	J	`jnl`	A Bird's-Eye Tutorial of Graph Attention Architectures. CoRR Kaustubh D. Dhole, Carl Yang
2022	A*	`conf`	Brain Network Transformer. NeurIPS Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang
2022	J	`jnl`	Brain Network Transformer. CoRR Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang
2022	B	`conf`	BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract). IEEE Big Data Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
2022	J	`jnl`	BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks. CoRR Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
2022	A*	`conf`	BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning. KDD Junru Chen, Yang Yang, Tao Yu, Yingying Fan, Xiaolong Mo, Carl Yang
2022	—	`conf`	Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR. ML4H@NeurIPS Ran Xu, Yue Yu, Chao Zhang, Mohammed K. Ali, Joyce C. Ho, Carl Yang
2022	A*	`conf`	Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. KDD Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang
2022	J	`jnl`	Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. CoRR Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang
2022	A*	`conf`	Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. IJCAI Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun
2022	J	`jnl`	Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. CoRR Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun
2022	J	`jnl`	Deep Generation of Heterogeneous Networks. CoRR Chen Ling, Carl Yang, Liang Zhao
2022	A*	`conf`	Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance. KDD Carl Yang, Hongwen Song, Mingyue Tang, Leon Danon, Ymir Vigfusson
2022	—	`conf`	Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. EMNLP (Findings) Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Xun Chen, Lichao Sun
2022	J	`jnl`	Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. CoRR Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Lichao Sun
2022	A*	`conf`	Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. ICDE Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng
2022	J	`jnl`	Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. CoRR Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang
2022	—	`conf`	FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation. MIDL Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang
2022	J	`jnl`	FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation. CoRR Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang
2022	J	`jnl`	Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction. CoRR Mingyue Tang, Carl Yang, Pan Li
2022	A*	`conf`	Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction. ICLR Mingyue Tang, Pan Li, Carl Yang
2022	J	`jnl`	Graph Federated Learning with Hidden Representation Sharing. CoRR Shuang Wu, Mingxuan Zhang, Yuantong Li, Carl Yang, Pan Li
2022	J	`jnl`	Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark. IEEE Trans. Knowl. Data Eng. Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han
2022	—	`conf`	How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation. ECIR (2) Hejie Cui, Jiaying Lu, Yao Ge, Carl Yang
2022	J	`jnl`	How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation. CoRR Hejie Cui, Jiaying Lu, Yao Ge, Carl Yang
2022	—	`conf`	Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. MICCAI (8) Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang
2022	J	`jnl`	Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. CoRR Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang
2022	—	`conf`	Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. EMBC Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang
2022	A*	`conf`	KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. WWW Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han
2022	B	`conf`	Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). IEEE Big Data Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2022	J	`jnl`	Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks. CoRR Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2022	A*	`conf`	MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. SIGIR Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng
2022	—	`conf`	Multi-View Brain Network Analysis with Cross-View Missing Network Generation. BIBM Gongxu Luo, Chenyang Li, Hejie Cui, Lichao Sun, Lifang He, Carl Yang
2022	A	`conf`	On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. CIKM Hejie Cui, Zijie Lu, Pan Li, Carl Yang
2022	—	`conf`	Open-World Taxonomy and Knowledge Graph Co-Learning. AKBC Jiaying Lu, Carl Yang
2022	—	`conf`	Partial Relaxed Optimal Transport for Denoised Recommendation. DL4SR@CIKM Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Weiming Liu, Xiaolin Zheng
2022	J	`jnl`	Partial Relaxed Optimal Transport for Denoised Recommendation. CoRR Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Xiaolin Zheng
2022	B	`conf`	Pre-train Graph Neural Networks for Brain Network Analysis (Extended Abstract). IEEE Big Data Yi Yang, Hejie Cui, Carl Yang
2022	—	`conf`	SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. NAACL-HLT Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han
2022	J	`jnl`	Shift-Robust Node Classification via Graph Adversarial Clustering. CoRR Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han
2022	A	`conf`	Structure-Enhanced Heterogeneous Graph Contrastive Learning. SDM Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu
2022	—	`conf`	Structure-Preserving Graph Kernel for Brain Network Classification. ISBI Jun Yu, Zhaoming Kong, Aditya Kendre, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He
2022	A	`conf`	The 1st International Workshop on Federated Learning with Graph Data (FedGraph). CIKM Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr
2022	J	`jnl`	Towards Training Graph Neural Networks with Node-Level Differential Privacy. CoRR Qiuchen Zhang, Jing Ma, Jian Lou, Carl Yang, Li Xiong
2022	B	`conf`	Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract). IEEE Big Data Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Carl Yang
2021	J	`jnl`	BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis. CoRR Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang
2021	A*	`conf`	Controllable Gradient Item Retrieval. WWW Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He
2021	J	`jnl`	Controllable Gradient Item Retrieval. CoRR Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He
2021	A*	`conf`	Deep Generation of Heterogeneous Networks. ICDM Chen Ling, Carl Yang, Liang Zhao
2021	J	`jnl`	Effective and Interpretable fMRI Analysis via Functional Brain Network Generation. CoRR Xuan Kan, Hejie Cui, Ying Guo, Carl Yang
2021	A*	`conf`	Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. NeurIPS Jinming Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang
2021	A*	`conf`	Federated Graph Classification over Non-IID Graphs. NeurIPS Han Xie, Jing Ma, Li Xiong, Carl Yang
2021	J	`jnl`	Federated Graph Classification over Non-IID Graphs. CoRR Han Xie, Jing Ma, Li Xiong, Carl Yang
2021	A*	`conf`	Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. IJCAI Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
2021	J	`jnl`	Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. CoRR Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
2021	J	`jnl`	Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. CoRR Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang
2021	A	`conf`	Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network. WSDM Yuanzhen Xie, Zijing Ou, Liang Chen, Yang Liu, Kun Xu, Carl Yang, Zibin Zheng
2021	A	`conf`	Lightweight Visual Question Answering using Scene Graphs. CIKM Sai Vidyaranya Nuthalapati, Ramraj Chandradevan, Eleonora Giunchiglia, Bowen Li, Maxime Kayser, Thomas Lukasiewicz, Carl Yang
2021	A*	`conf`	Multi-Facet Recommender Networks with Spherical Optimization. ICDE Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng
2021	J	`jnl`	Multi-Facet Recommender Networks with Spherical Optimization. CoRR Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng
2021	J	`jnl`	On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. CoRR Hejie Cui, Zijie Lu, Pan Li, Carl Yang
2021	J	`jnl`	SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. CoRR Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han
2021	A*	`conf`	Secure Deep Graph Generation with Link Differential Privacy. IJCAI Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun
2021	J	`jnl`	Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning. CoRR Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu
2021	J	`jnl`	Structure-Preserving Graph Kernel for Brain Network Classification. CoRR Zhaoming Kong, Aditya Kendre, Jun Yu, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He
2021	A*	`conf`	Subgraph Federated Learning with Missing Neighbor Generation. NeurIPS Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu-Ming Yiu
2021	J	`jnl`	Subgraph Federated Learning with Missing Neighbor Generation. CoRR Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu-Ming Yiu
2021	A*	`conf`	TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract). IJCAI Carl Yang, Jieyu Zhang, Jiawei Han
2021	A	`conf`	Time-Series Event Prediction with Evolutionary State Graph. WSDM Wenjie Hu, Yang Yang, Ziqiang Cheng, Carl Yang, Xiang Ren
2021	A*	`conf`	Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. NeurIPS Qi Zhu, Carl Yang, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han
2021	A*	`conf`	Understanding Structural Vulnerability in Graph Convolutional Networks. IJCAI Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang
2021	J	`jnl`	Understanding Structural Vulnerability in Graph Convolutional Networks. CoRR Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang
2021	J	`jnl`	Weakly Supervised Concept Map Generation through Task-Guided Graph Translation. CoRR Jiaying Lu, Xiangjue Dong, Carl Yang
2021	—	`conf`	Zero-Shot Scene Graph Relation Prediction Through Commonsense Knowledge Integration. ECML/PKDD (2) Xuan Kan, Hejie Cui, Carl Yang
2021	J	`jnl`	Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration. CoRR Xuan Kan, Hejie Cui, Carl Yang
2020	A*	`conf`	Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines. SIGIR Yang Liu, Xianzhuo Xia, Liang Chen, Xiangnan He, Carl Yang, Zibin Zheng
2020	A*	`conf`	Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks. ICDM Carl Yang, Jieyu Zhang, Jiawei Han
2020	J	`jnl`	GCN for HIN via Implicit Utilization of Attention and Meta-paths. CoRR Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han
2020	—	`conf`	Graph Clustering with Embedding Propagation. IEEE BigData Carl Yang, Liyuan Liu, Mengxiong Liu, Zongyi Wang, Chao Zhang, Jiawei Han
2020	J	`jnl`	Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond. CoRR Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han
2020	A*	`conf`	Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities. ICDM Yingkui Wang, Di Jin, Carl Yang, Jianwu Dang
2020	—	`—`	Multi-facet graph mining with contextualized projections Carl Yang
2020	A*	`conf`	MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. KDD Carl Yang, Aditya Pal, Andrew Zhai, Nikil Pancha, Jiawei Han, Charles Rosenberg, Jure Leskovec
2020	A*	`conf`	Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization. SIGIR Carl Yang, Jieyu Zhang, Haonan Wang, Bangzheng Li, Jiawei Han
2020	A	`conf`	Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. WSDM Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han
2020	J	`jnl`	Secure Network Release with Link Privacy. CoRR Carl Yang, Haonan Wang, Lichao Sun, Bo Li
2020	J	`jnl`	Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. CoRR Qi Zhu, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han, Carl Yang
2020	A*	`conf`	Unsupervised Differentiable Multi-aspect Network Embedding. KDD Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han
2020	J	`jnl`	Unsupervised Differentiable Multi-aspect Network Embedding. CoRR Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han
2020	A*	`conf`	When Do GNNs Work: Understanding and Improving Neighborhood Aggregation. IJCAI Yiqing Xie, Sha Li, Carl Yang, Raymond Chi-Wing Wong, Jiawei Han
2020	J	`jnl`	cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. CoRR Carl Yang, Mengxiong Liu, Frank He, Jian Peng, Jiawei Han
2019	A*	`conf`	Conditional Structure Generation through Graph Variational Generative Adversarial Nets. NeurIPS Carl Yang, Peiye Zhuang, Wenhan Shi, Alan Luu, Pan Li
2019	J	`jnl`	CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. CoRR Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han
2019	J	`jnl`	I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. CoRR Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han
2019	J	`jnl`	Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. CoRR Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han
2019	A*	`conf`	Neural Embedding Propagation on Heterogeneous Networks. ICDM Carl Yang, Jieyu Zhang, Jiawei Han
2019	J	`jnl`	Neural Embedding Propagation on Heterogeneous Networks. CoRR Carl Yang, Jieyu Zhang, Jiawei Han
2019	—	`conf`	Non-local Attention Learning on Large Heterogeneous Information Networks. IEEE BigData Yuxin Xiao, Zecheng Zhang, Carl Yang, ChengXiang Zhai
2019	A*	`conf`	Place Deduplication with Embeddings. WWW Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han
2019	J	`jnl`	Place Deduplication with Embeddings. CoRR Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han
2019	A	`conf`	Query-Specific Knowledge Summarization with Entity Evolutionary Networks. CIKM Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han
2019	J	`jnl`	Query-Specific Knowledge Summarization with Entity Evolutionary Networks. CoRR Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han
2019	B	`conf`	RASE: Relationship Aware Social Embedding. IJCNN Aravind Sankar, Adit Krishnan, Zongjian He, Carl Yang
2019	J	`jnl`	Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. CoRR Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han
2019	A	`conf`	Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness. SDM Carl Yang, Kevin Chang
2019	J	`jnl`	Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. CoRR Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han
2019	—	`conf`	User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription. ECML/PKDD (1) Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han
2019	—	`conf`	cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. ICDM Workshops Carl Yang, Jiawei Han
2018	A*	`conf`	Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding. ICDE Carl Yang, Chao Zhang, Xuewen Chen, Jieping Ye, Jiawei Han
2018	J	`jnl`	Higher-Order Clustering in Heterogeneous Information Networks. CoRR Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han
2018	A*	`conf`	I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. KDD Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han
2018	A*	`conf`	Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. ICDM Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han
2018	B	`conf`	Node, Motif and Subgraph: Leveraging Network Functional Blocks Through Structural Convolution. ASONAM Carl Yang, Mengxiong Liu, Vincent W. Zheng, Jiawei Han
2018	—	`conf`	Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. ECML/PKDD (2) Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han
2018	A*	`conf`	Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach. AAAI Chao Zhang, Mengxiong Liu, Zhengchao Liu, Carl Yang, Luming Zhang, Jiawei Han
2018	J	`jnl`	mvn2vec: Preservation and Collaboration in Multi-View Network Embedding. CoRR Yu Shi, Fangqiu Han, Xinran He, Carl Yang, Jie Luo, Jiawei Han
2017	—	`conf`	Bi-directional Joint Inference for User Links and Attributes on Large Social Graphs. WWW (Companion Volume) Carl Yang, Lin Zhong, Li-Jia Li, Luo Jie
2017	A*	`conf`	Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation. KDD Carl Yang, Lanxiao Bai, Chao Zhang, Quan Yuan, Jiawei Han
2017	J	`jnl`	CONE: Community Oriented Network Embedding. CoRR Carl Yang, Hanqing Lu, Kevin Chen-Chuan Chang
2017	J	`jnl`	Graph Clustering with Dynamic Embedding. CoRR Carl Yang, Mengxiong Liu, Zongyi Wang, Liyuan Liu, Jiawei Han
2017	J	`jnl`	Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness. CoRR Carl Yang, Kevin Chen-Chuan Chang