Carl Yang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 33

Top Topics

Bdi Architecture

Top Venues

WWW (Companion Volume)

Publications

Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang
Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. ICDE (2024)
Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang
Biomedical Visual Instruction Tuning with Clinician Preference Alignment. CoRR (2024)
Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction. WSDM (2024)
Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Hang Wu, Carl Yang, May D. Wang
MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning. CoRR (2024)
Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li
GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning. CoRR (2024)
Yuzhang Xie, Jiaying Lu, Joyce Ho, Fadi B. Nahab, Xiao Hu, Carl Yang
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking. SIGIR (2024)
Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex D. Leow, Paul Thompson, Heng Huang, Liang Zhan
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. CoRR (2024)
Yuzhang Xie, Jiaying Lu, Joyce Ho, Fadi B. Nahab, Xiao Hu, Carl Yang
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking. CoRR (2024)
Ziyang Zhang, Hejie Cui, Ran Xu, Yuzhang Xie, Joyce C. Ho, Carl Yang
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data. CoRR (2024)
Ran Xu, Yiwen Lu, Chang Liu, Yong Chen, Yan Sun, Xiao Hu, Joyce C. Ho, Carl Yang
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR. CoRR (2024)
Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu
A Pure Transformer Pretraining Framework on Text-attributed Graphs. CoRR (2024)
Hejie Cui, Zhuocheng Shen, Jieyu Zhang, Hui Shao, Lianhui Qin, Joyce C. Ho, Carl Yang
LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction. CoRR (2024)
Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang
CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. CoRR (2024)
Yiqi Dong, Dongxiao He, Xiaobao Wang, Youzhu Jin, Meng Ge, Carl Yang, Di Jin
Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning. AAAI (2024)
Junyuan Hong, Carl Yang, Zhuangdi Zhu, Zheng Xu, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou
FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. KDD (2024)
Ziyang Zhang, Hejie Cui, Ran Xu, Yuzhang Xie, Joyce C. Ho, Carl Yang
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data. KDD (2024)
Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May D. Wang, Joyce C. Ho, Chao Zhang, Carl Yang
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. CoRR (2024)
Yanchao Tan, Hengyu Zhang, Zihao Zhou, Guofang Ma, Fan Wang, Weiming Liu, Xinting Liao, Vicki Stover Hertzberg, Carl Yang
Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows. WWW (Companion Volume) (2024)
Jiaming Shen, Ran Xu, Yennie Jun, Zhen Qin, Tianqi Liu, Carl Yang, Yi Liang, Simon Baumgartner, Michael Bendersky
Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation. CoRR (2024)
Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. CoRR (2024)
Hejie Cui, Xinyu Fang, Ran Xu, Xuan Kan, Joyce C. Ho, Carl Yang
Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM. CoRR (2024)
Zhenghong Lin, Qishan Yan, Weiming Liu, Shiping Wang, Menghan Wang, Yanchao Tan, Carl Yang
Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization. IEEE Trans. Multim. 26 (2024)
Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. SDM (2024)
Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May D. Wang, Joyce C. Ho, Carl Yang
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. CoRR (2024)
Qiuchen Zhang, Hong-Kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong
DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy. WWW (2024)
Yanchao Tan, Hang Lv, Xinyi Huang, Jiawei Zhang, Shiping Wang, Carl Yang
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining. CoRR (2024)
Hang Lv, Zehai Chen, Yacong Yang, Guofang Ma, Yanchao Tan, Carl Yang
BoxCare: A Box Embedding Model for Disease Representation and Diagnosis Prediction in Healthcare Data. WWW (Companion Volume) (2024)
Jiaying Lu, Shifan Zhao, Wenjing Ma, Hui Shao, Xiao Hu, Yuanzhe Xi, Carl Yang
Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process. WWW (Companion Volume) (2024)
Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce Ho, Carl Yang
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. ACL (Findings) (2024)
Junruo Gao, Chen Ling, Carl Yang, Liang Zhao
Helper Recommendation with seniority control in Online Health Community. SDM (2024)
Shengbo Gong, Juntong Ni, Noveen Sachdeva, Carl Yang, Wei Jin
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights. CoRR (2024)
Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang
WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding. NeurIPS (2023)
Jiaying Lu, Carl Yang
Open-World Taxonomy and Knowledge Graph Co-Learning. AKBC (2022)