Rex Ying
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
48
Venues
14
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
48 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QA. | Justice Ou, Tinglin Huang, Yilun Zhao, Ziyang Yu, Peiqing Lu, Yifei Shen, Rex Ying |
| 2026 | KDD | LitBench: A Graph-Centric Large Language Model Benchmarking Tool For Literature Tasks. | Andreas Varvarigos, Ali Maatouk, Jiasheng Zhang, Ngoc Bui, Jialin Chen, Leandros Tassiulas, Rex Ying |
| 2026 | WWW | Towards A Universal Graph Structural Encoder. | Jialin Chen, Haolan Zuo, Haoyu Wang, Siqi Miao, Pan Li, Rex Ying |
| 2025 | AAAI | An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control. | Aosong Feng, Weikang Qiu, Jinbin Bai, Zhen Dong, Kaicheng Zhou, Xiao Zhang, Rex Ying, Leandros Tassiulas |
| 2025 | ACL | Mixture-of-Personas Language Models for Population Simulation. | Ngoc Bui, Hieu Trung Nguyen, Shantanu Kumar, Julian Theodore, Weikang Qiu, Viet Anh Nguyen, Rex Ying |
| 2025 | CIKM | MUSE: A Multi-slice Joint Analysis Method for Spatial Transcriptomics Experiments. | Ziheng Duan, Xi Li, Zhiqing Xiao, Rex Ying, Jing Zhang |
| 2025 | EMNLP | GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models. | Jialin Chen, Houyu Zhang, Seongjun Yun, Alejandro Mottini, Rex Ying, Xiang Song, Vassilis N. Ioannidis, Zheng Li, Qingjun Cui |
| 2025 | ICML | Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching. | Tinglin Huang, Tianyu Liu, Mehrtash Babadi, Wengong Jin, Rex Ying |
| 2025 | ICML | Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning. | Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Rex Ying, Neil Shah, Tong Zhao |
| 2025 | ICML | MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-text Decoding. | Weikang Qiu, Zheng Huang, Haoyu Hu, Aosong Feng, Yujun Yan, Rex Ying |
| 2025 | ICML | Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding. | Jiasheng Zhang, Delvin Ce Zhang, Shuang Liang, Zhengpin Li, Rex Ying, Jie Shao |
| 2025 | KDD | Lorentzian Residual Neural Networks. | Neil He, Menglin Yang, Rex Ying |
| 2025 | KDD | Hyperbolic Deep Learning for Foundation Models: A Survey. | Neil He, Hiren Madhu, Ngoc Bui, Menglin Yang, Rex Ying |
| 2025 | KDD | Flow Matching for Collaborative Filtering. | Chengkai Liu, Yangtian Zhang, Jianling Wang, Rex Ying, James Caverlee |
| 2025 | KDD | LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs. | Jiasheng Zhang, Ali Maatouk, Jialin Chen, Ngoc Bui, Qianqian Xie, Leandros Tassiulas, Hua Xu, Jie Shao, Rex Ying |
| 2025 | KDD | Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning. | Yifei Zhang, Hao Zhu, Menglin Yang, Jiahong Liu, Rex Ying, Irwin King, Piotr Koniusz |
| 2025 | WWW | Towards Non-Euclidean Foundation Models: Advancing AI Beyond Euclidean Frameworks. | Menglin Yang, Yifei Zhang, Jialin Chen, Melanie Weber, Rex Ying |
| 2024 | AISTATS | BLIS-Net: Classifying and Analyzing Signals on Graphs. | Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter |
| 2024 | EMNLP | Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning. | Aosong Feng, Rex Ying, Leandros Tassiulas |
| 2024 | EMNLP | FOLIO: Natural Language Reasoning with First-Order Logic. | Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szab, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander R. Fabbri, Wojciech Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev |
| 2024 | EMNLP | P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. | Simeng Han, Aaron Yu, Rui Shen, Zhenting Qi, Martin Riddell, Wenfei Zhou, Yujie Qiao, Yilun Zhao, Semih Yavuz, Ye Liu, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Dragomir Radev, Rex Ying, Arman Cohan |
| 2024 | ICML | Explaining Graph Neural Networks via Structure-aware Interaction Index. | Ngoc Bui, Hieu Trung Nguyen, Viet Anh Nguyen, Rex Ying |
| 2024 | ICML | Position: Relational Deep Learning - Graph Representation Learning on Relational Databases. | Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao |
| 2024 | ICML | Learning High-Order Relationships of Brain Regions. | Weikang Qiu, Huangrui Chu, Selena Wang, Haolan Zuo, Xiaoxiao Li, Yize Zhao, Rex Ying |
| 2024 | KDD | Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space. | Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying |
| 2024 | WWW | Text-Attributed Graph Representation Learning: Methods, Applications, and Challenges. | Delvin Ce Zhang, Menglin Yang, Rex Ying, Hady W. Lauw |
| 2024 | WSDM | DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting. | Tianyu Fu, Chiyue Wei, Yu Wang, Rex Ying |
| 2023 | AAAI | Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences. | Aosong Feng, Irene Li, Yuang Jiang, Rex Ying |
| 2023 | ACL | HiPool: Modeling Long Documents Using Graph Neural Networks. | Irene Li, Aosong Feng, Dragomir Radev, Rex Ying |
| 2023 | CVPR | Adversarially Robust Neural Architecture Search for Graph Neural Networks. | Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu |
| 2023 | ICML | Hyperbolic Representation Learning: Revisiting and Advancing. | Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King |
| 2023 | ICML | FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning. | Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu |
| 2023 | KDD | BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. | Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang |
| 2023 | KDD | Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree. | Delvin Ce Zhang, Rex Ying, Hady W. Lauw |
| 2023 | MICCAI | Community-Aware Transformer for Autism Prediction in fMRI Connectome. | Anushree Bannadabhavi, Soojin Lee, Wenlong Deng, Rex Ying, Xiaoxiao Li |
| 2022 | ICML | Local Augmentation for Graph Neural Networks. | Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu |
| 2022 | KDD | Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. | Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec |
| 2021 | AAAI | Identity-aware Graph Neural Networks. | Jiaxuan You, Jonathan Michael Gomes Selman, Rex Ying, Jure Leskovec |
| 2021 | IJCAI | Multi-hop Attention Graph Neural Networks. | Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec |
| 2021 | KDD | Bipartite Dynamic Representations for Abuse Detection. | Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec |
| 2021 | NAACL | Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification. | Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou |
| 2020 | ICLR | Neural Execution of Graph Algorithms. | Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell |
| 2020 | ICML | Learning to Simulate Complex Physics with Graph Networks. | Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia |
| 2020 | KDD | Redundancy-Free Computation for Graph Neural Networks. | Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken |
| 2019 | ICML | Position-aware Graph Neural Networks. | Jiaxuan You, Rex Ying, Jure Leskovec |
| 2018 | ICML | GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models. | Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec |
| 2018 | KDD | Graph Convolutional Neural Networks for Web-Scale Recommender Systems. | Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec |