Jin, Wei

30 publications

LoG 2025 A Pure Transformer Pretraining Framework on Text-Attributed Graphs Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu

AAAI 2025 Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling Shiluo Huang, Yining Jin, Wei Jin, Ying Mu

JMLR 2025 Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables Wei Jin, Yang Ni, Amanda B. Spence, Leah H. Rubin, Yanxun Xu

ICML 2025 EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph Guancheng Wan, Zewen Liu, Xiaojun Shan, Max Sy Lau, B. Aditya Prakash, Wei Jin

NeurIPS 2025 GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights Shengbo Gong, Juntong Ni, Noveen Sachdeva, Carl Yang, Wei Jin

ICLR 2025 Precedence-Constrained Winter Value for Effective Graph Data Valuation Hongliang Chi, Wei Jin, Charu C. Aggarwal, Yao Ma

LoG 2025 Sub-Graph Based Diffusion Model for Link Prediction Hang Li, Wei Jin, Geri Skenderi, Harry Shomer, Wenzhuo Tang, Wenqi Fan, Jiliang Tang

IJCAI 2024 A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin

ICLR 2024 CellPLM: Pre-Training of Cell Language Model Beyond Single Cells Hongzhi Wen, Wenzhuo Tang, Xinnan Dai, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang

AAAI 2024 Deep Learning on Graphs: A Data-Centric Exploration Wei Jin

ICLR 2024 Label-Free Node Classification on Graphs with Large Language Models (LLMs) Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang

ICML 2024 Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You

MLJ 2024 Survey on Extreme Learning Machines for Outlier Detection Rasoul Kiani, Wei Jin, Victor S. Sheng

NeurIPS 2024 Text-Space Graph Foundation Models: Comprehensive Benchmarks and New Insights Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang

AAAI 2023 ACCD: An Adaptive Clustering-Based Collusion Detector in Crowdsourcing (Student Abstract) Ruoyu Xu, Gaoxiang Li, Wei Jin, Austin Chen, Victor S. Sheng

NeurIPS 2023 Amazon-M2: A Multilingual Multi-Locale Shopping Session Dataset for Recommendation and Text Generation Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang

NeurIPS 2023 Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang

ICLR 2023 Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah

NeurIPSW 2023 Exploring the Potential of Large Language Models (LLMs) in Learning on Graph Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang

NeurIPSW 2023 Knowledge-Infused Prompting Improves Clinical Text Generation with Large Language Models Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce Ho, Carl Yang

ICLR 2022 Automated Self-Supervised Learning for Graphs Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang

NeurIPSW 2022 Bi-Channel Masked Graph Autoencoders for Spatially Resolved Single-Cell Transcriptomics Data Imputation Hongzhi Wen, Wei Jin, Jiayuan Ding, Christopher Xu, Yuying Xie, Jiliang Tang

NeurIPSW 2022 Condensing Graphs via One-Step Gradient Matching Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin

ICLR 2022 From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah

ICLR 2022 Graph Condensation for Graph Neural Networks Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah

NeurIPSW 2022 Graph Neural Networks for Multimodal Single-Cell Data Integration Hongzhi Wen, Jiayuan Ding, Wei Jin, Yiqi Wang, Yuying Xie, Jiliang Tang

AAAI 2021 DeepRobust: A Platform for Adversarial Attacks and Defenses Yaxin Li, Wei Jin, Han Xu, Jiliang Tang

ICML 2021 Elastic Graph Neural Networks Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang

NeurIPS 2021 Graph Neural Networks with Adaptive Residual Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang

AAAI 2018 Learning Feature Representations for Keyphrase Extraction Corina Florescu, Wei Jin