Zhao, Tong

38 publications

NeurIPS 2025 A Pre-Training Framework for Relational Data with Information-Theoretic Principles Quang Truong, Zhikai Chen, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang

IJCAI 2025 CSAHFL: Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-Layer Non-IID in Heterogeneous Edge Computing Networks Aijing Li, Junping Du, Dandan Liu, Yingxia Shao, Tong Zhao, Guanhua Ye

ICCV 2025 Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models Beier Zhu, Ruoyu Wang, Tong Zhao, Hanwang Zhang, Chi Zhang

NeurIPS 2025 Exploring Landscapes for Better Minima Along Valleys Tong Zhao, Jiacheng Li, Yuanchang Zhou, Guangming Tan, Weile Jia

ICML 2025 Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks Rui Xue, Tong Zhao, Neil Shah, Xiaorui Liu

ICML 2025 Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Zhitao Ying, Neil Shah, Tong Zhao

CVPR 2025 Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning Jing Zhu, Yuhang Zhou, Shengyi Qian, Zhongmou He, Tong Zhao, Neil Shah, Danai Koutra

TMLR 2025 Node Duplication Improves Cold-Start Link Prediction Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Mingxuan Ju, Neil Shah, Nitesh V Chawla

LoG 2025 Towards Neural Scaling Laws on Graphs Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang

NeurIPS 2025 V2X-Radar: A Multi-Modal Dataset with 4D Radar for Cooperative Perception Lei Yang, Xinyu Zhang, Jun Li, Chen Wang, Jiaqi Ma, Zhiying Song, Tong Zhao, Ziying Song, Li Wang, Mo Zhou, Yang Shen, Kai Wu, Chen Lv

ICLR 2024 A Topological Perspective on Demystifying GNN-Based Link Prediction Performance Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr

UAI 2024 Bias-Aware Boolean Matrix Factorization Using Disentangled Representation Learning Xiao Wang, Jia Wang, Tong Zhao, Yijie Wang, Nan Zhang, Yong Zang, Sha Cao, Chi Zhang

NeurIPS 2024 How Does Message Passing Improve Collaborative Filtering? Clark Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao

ICML 2024 LLaGA: Large Language and Graph Assistant Runjin Chen, Tong Zhao, Ajay Kumar Jaiswal, Neil Shah, Zhangyang Wang

ICML 2024 Position: Graph Foundation Models Are Already Here Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang

ICLR 2024 Revisiting Link Prediction: A Data Perspective Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang

NeurIPS 2023 Data-Centric Learning from Unlabeled Graphs with Diffusion Model Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang

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

NeurIPS 2023 GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-Time Augmentation Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye

ICLR 2023 Link Prediction with Non-Contrastive Learning William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah

ICML 2023 Linkless Link Prediction via Relational Distillation Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V Chawla, Neil Shah, Tong Zhao

ICLR 2023 MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah

ICLR 2023 Multi-Task Self-Supervised Graph Neural Networks Enable Stronger Task Generalization Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang

AAAI 2023 RLEKF: An Optimizer for Deep Potential with Ab Initio Accuracy Siyu Hu, Wentao Zhang, Qiuchen Sha, Feng Pan, Lin-Wang Wang, Weile Jia, Guangming Tan, Tong Zhao

NeurIPSW 2023 Semi-Supervised Graph Imbalanced Regression Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang

AISTATS 2022 Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis

LoG 2022 AutoGDA: Automated Graph Data Augmentation for Node Classification Tong Zhao, Xianfeng Tang, Danqing Zhang, Haoming Jiang, Nikhil Rao, Yiwei Song, Pallav Agrawal, Karthik Subbian, Bing Yin, Meng Jiang

UAI 2022 Bias Aware Probabilistic Boolean Matrix Factorization Changlin Wan, Pengtao Dang, Tong Zhao, Yong Zang, Chi Zhang, Sha Cao

ICMLW 2022 Enhancing Multi-Hop Connectivity for Graph Convolutional Networks Songtao Liu, Shixiong Jing, Tong Zhao, Zengfeng Huang, Dinghao Wu

LoG 2022 Flashlight: Scalable Link Prediction with Effective Decoders Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah

ICML 2022 Learning from Counterfactual Links for Link Prediction Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang

AAAI 2021 Data Augmentation for Graph Neural Networks Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah

AAAI 2020 Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang

NeurIPS 2020 Geometric All-Way Boolean Tensor Decomposition Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang

IJCAI 2018 Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-Driven Attention Ling Luo, Xiang Ao, Feiyang Pan, Jin Wang, Tong Zhao, Ningzi Yu, Qing He

IJCAI 2016 Modeling the Homophily Effect Between Links and Communities for Overlapping Community Detection Hongyi Zhang, Tong Zhao, Irwin King, Michael R. Lyu

AAAI 2016 STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King