Ying, Rex

35 publications

AAAI 2025 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

NeurIPS 2025 HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts Neil He, Rishabh Anand, Hiren Madhu, Ali Maatouk, Smita Krishnaswamy, Leandros Tassiulas, Menglin Yang, Rex Ying

NeurIPS 2025 HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data Siddharth Viswanath, Hiren Madhu, Dhananjay Bhaskar, Jake Kovalic, David R Johnson, Christopher Tape, Ian Adelstein, Rex Ying, Michael Perlmutter, Smita Krishnaswamy

NeurIPS 2025 Hyperbolic Fine-Tuning for Large Language Models Menglin Yang, B B Ram Samarth, Aosong Feng, Bo Xiong, Jiahong Liu, Irwin King, Rex Ying

NeurIPS 2025 Non-Markovian Discrete Diffusion with Causal Language Models Yangtian Zhang, Sizhuang He, Daniel Levine, Lawrence Zhao, David Zhang, Syed A Rizvi, Shiyang Zhang, Emanuele Zappala, Rex Ying, David van Dijk

TMLR 2025 RNA-FrameFlow: Flow Matching for De Novo 3D RNA Backbone Design Rishabh Anand, Chaitanya K. Joshi, Alex Morehead, Arian Rokkum Jamasb, Charles Harris, Simon V Mathis, Kieran Didi, Rex Ying, Bryan Hooi, Pietro Lio

NeurIPS 2025 TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval Jialin Chen, Ziyu Zhao, Gaukhar Nurbek, Aosong Feng, Ali Maatouk, Leandros Tassiulas, Yifeng Gao, Rex Ying

AISTATS 2024 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

NeurIPS 2024 DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs Jiasheng Zhang, Jialin Chen, Menglin Yang, Aosong Feng, Shuang Liang, Jie Shao, Rex Ying

ICMLW 2024 Enhancing LLM Complex Reasoning Capability Through Hyperbolic Geometry Menglin Yang, Aosong Feng, Bo Xiong, Jiahong Liu, Irwin King, Rex Ying

ICML 2024 Explaining Graph Neural Networks via Structure-Aware Interaction Index Ngoc Bui, Hieu Trung Nguyen, Viet Anh Nguyen, Rex Ying

NeurIPS 2024 From Similarity to Superiority: Channel Clustering for Time Series Forecasting Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying

ICML 2024 Learning High-Order Relationships of Brain Regions Weikang Qiu, Huangrui Chu, Selena Wang, Haolan Zuo, Xiaoxiao Li, Yize Zhao, Rex Ying

ICMLW 2024 Lorentzian Residual Neural Networks Neil He, Menglin Yang, Rex Ying

ICML 2024 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

ICML 2024 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 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 Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

NeurIPS 2024 Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer Tinglin Huang, Zhenqiao Song, Rex Ying, Wengong Jin

ICMLW 2024 UHCone: Universal Hyperbolic Cone for Implicit Hierarchical Learning Menglin Yang, Jiahong Liu, Irwin King, Rex Ying

CVPR 2023 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

NeurIPS 2023 D4Explainer: In-Distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion Jialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying

AAAI 2023 Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences Aosong Feng, Irene Li, Yuang Jiang, Rex Ying

ICML 2023 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

NeurIPSW 2023 GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations Kenza Amara, Mennatallah El-Assady, Rex Ying

ICML 2023 Hyperbolic Representation Learning: Revisiting and Advancing Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King

NeurIPS 2023 Learning to Group Auxiliary Datasets for Molecule Tinglin Huang, Ziniu Hu, Rex Ying

NeurIPS 2023 MuSe-GNN: Learning Unified Gene Representation from Multimodal Biological Graph Data Tianyu Liu, Yuge Wang, Rex Ying, Hongyu Zhao

NeurIPS 2023 Static and Sequential Malicious Attacks in the Context of Selective Forgetting Chenxu Zhao, Wei Qian, Rex Ying, Mengdi Huai

NeurIPS 2023 TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery Jialin Chen, Rex Ying

ICML 2022 Local Augmentation for Graph Neural Networks Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu

AAAI 2021 Identity-Aware Graph Neural Networks Jiaxuan You, Jonathan Michael Gomes Selman, Rex Ying, Jure Leskovec

IJCAI 2021 Multi-Hop Attention Graph Neural Networks Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec

ICML 2020 Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter Battaglia

ICLR 2020 Neural Execution of Graph Algorithms Petar Veličković, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell

ICML 2019 Position-Aware Graph Neural Networks Jiaxuan You, Rex Ying, Jure Leskovec

ICML 2018 GraphRNN: Generating Realistic Graphs with Deep Auto-Regressive Models Jiaxuan You, Rex Ying, Xiang Ren, William Hamilton, Jure Leskovec