Tong Zhao

123 papers A* 29A 7B 1Journal 70Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
FlexRec: Adapting LLM-based Recommenders for Flexible Needs via Reinforcement Learning.
CoRR
Yijun Pan, Weikang Qiu, Qiyao Ma, Mingxuan Ju, Tong Zhao, Neil Shah, Rex Ying
2026 J jnl
MemRec: Collaborative Memory-Augmented Agentic Recommender System.
CoRR
Weixin Chen, Yuhan Zhao, Jingyuan Huang, Zihe Ye, Clark Mingxuan Ju, Tong Zhao, Neil Shah, Li Chen, Yongfeng Zhang
2026 J jnl
Plain Transformers are Surprisingly Powerful Link Predictors.
CoRR
Quang Truong, Yu Song, Donald Loveland, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang
2026 A conf
Sequential Data Augmentation for Generative Recommendation.
WSDM
Geon Lee, Bhuvesh Kumar, Mingxuan Ju, Tong Zhao, Kijung Shin, Neil Shah, Liam Collins
2026 J jnl
Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling.
CoRR
Xingyue Huang, Xueying Ding, Mingxuan Ju, Yozen Liu, Neil Shah, Tong Zhao
2025 J jnl
A Pre-training Framework for Relational Data with Information-theoretic Principles.
CoRR
Quang Truong, Zhikai Chen, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang
2025 J jnl
Beyond Unimodal Boundaries: Generative Recommendation with Multimodal Semantics.
CoRR
Jing Zhu, Mingxuan Ju, Yozen Liu, Danai Koutra, Neil Shah, Tong Zhao
2025 J jnl
Exploiting ID-Text Complementarity via Ensembling for Sequential Recommendation.
CoRR
Liam Collins, Bhuvesh Kumar, Clark Mingxuan Ju, Tong Zhao, Donald Loveland, Leonardo Neves, Neil Shah
2025 A conf
Generative Recommendation with Semantic IDs: A Practitioner's Handbook.
CIKM
Clark Mingxuan Ju, Liam Collins, Leonardo Neves, Bhuvesh Kumar, Louis Yufeng Wang, Tong Zhao, Neil Shah
2025 J jnl
Generative Recommendation with Semantic IDs: A Practitioner's Handbook.
CoRR
Clark Mingxuan Ju, Liam Collins, Leonardo Neves, Bhuvesh Kumar, Louis Yufeng Wang, Tong Zhao, Neil Shah
2025 — conf
GiGL: Large-Scale Graph Neural Networks at Snapchat.
KDD (2)
Tong Zhao, Yozen Liu, Matthew Kolodner, Kyle Montemayor, Elham Ghazizadeh, Ankit Batra, Zihao Fan, Xiaobin Gao, Xuan Guo, Jiwen Ren, Serim Park, Peicheng Yu, Jun Yu, Shubham Vij, Neil Shah
2025 J jnl
GiGL: Large-Scale Graph Neural Networks at Snapchat.
CoRR
Tong Zhao, Yozen Liu, Matthew Kolodner, Kyle Montemayor, Elham Ghazizadeh, Ankit Batra, Zihao Fan, Xiaobin Gao, Xuan Guo, Jiwen Ren, Serim Park, Peicheng Yu, Jun Yu, Shubham Vij, Neil Shah
2025 A* conf
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems.
WWW
Xinyi Wu, Donald Loveland, Runjin Chen, Yozen Liu, Xin Chen, Leonardo Neves, Ali Jadbabaie, Mingxuan Ju, Neil Shah, Tong Zhao
2025 A* conf
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks.
ICML
Rui Xue, Tong Zhao, Neil Shah, Xiaorui Liu
2025 J jnl
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction.
CoRR
Zongyue Qin, Shichang Zhang, Mingxuan Ju, Tong Zhao, Neil Shah, Yizhou Sun
2025 J jnl
Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings.
CoRR
Xueying Ding, Xingyue Huang, Mingxuan Ju, Liam Collins, Yozen Liu, Leman Akoglu, Neil Shah, Tong Zhao
2025 — conf
Improving Out-of-Vocabulary Hashing in Recommendation Systems.
WWW (Companion Volume)
William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu
2025 A* conf
Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning.
ICML
Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Rex Ying, Neil Shah, Tong Zhao
2025 J jnl
Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning.
CoRR
Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Rex Ying, Neil Shah, Tong Zhao
2025 A* conf
Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat.
SIGIR
Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Yang Zhou, Sohail Nizam, Rengim Aykan Ozturk, Yvette Liu, Sen Yang, Manish Malik, Neil Shah
2025 J jnl
Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat.
CoRR
Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Yang Zhou, Sohail Nizam, Rengim Ozturk, Yvette Liu, Sen Yang, Manish Malik, Neil Shah
2025 A conf
MI4Rec: Pretrained Language Model based Cold-Start Recommendation with Meta-Item Embeddings.
CIKM
Zaiyi Zheng, Yaochen Zhu, Haochen Liu, Mingxuan Ju, Tong Zhao, Neil Shah, Jundong Li
2025 A* conf
Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning.
CVPR
Jing Zhu, Yuhang Zhou, Shengyi Qian, Zhongmou He, Tong Zhao, Neil Shah, Danai Koutra
2025 J jnl
Node Duplication Improves Cold-start Link Prediction.
Trans. Mach. Learn. Res.
Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Mingxuan Ju, Neil Shah, Nitesh V. Chawla
2025 — conf
On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective.
KDD (2)
Donald Loveland, Mingxuan Ju, Tong Zhao, Neil Shah, Danai Koutra
2025 J jnl
On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective.
CoRR
Donald Loveland, Mingxuan Ju, Tong Zhao, Neil Shah, Danai Koutra
2025 J jnl
Retrieval-Augmented Generation with Graphs (GraphRAG).
CoRR
Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang
2025 — conf
Revisiting Self-attention for Cross-domain Sequential Recommendation.
KDD (2)
Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Sohail Nizam, Sen Yang, Neil Shah
2025 J jnl
Revisiting Self-attention for Cross-domain Sequential Recommendation.
CoRR
Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Sohail Nizam, Sen Yang, Neil Shah
2025 J jnl
SEESAW: Do Graph Neural Networks Improve Node Representation Learning for All?
J. Data-centric Mach. Learn. Res.
Yushun Dong, William Shiao, Yozen Liu, Jundong Li, Neil Shah, Tong Zhao
2025 J jnl
Sequential Data Augmentation for Generative Recommendation.
CoRR
Geon Lee, Bhuvesh Kumar, Clark Mingxuan Ju, Tong Zhao, Kijung Shin, Neil Shah, Liam Collins
2025 — conf
Training Industry-scale GNNs with GiGL.
KDD (2)
Yozen Liu, Tong Zhao, Matthew Kolodner, Kyle Montemayor, Shubham Vij, Neil Shah
2025 J jnl
Understanding Generative Recommendation with Semantic IDs from a Model-scaling View.
CoRR
Jingzhe Liu, Liam Collins, Jiliang Tang, Tong Zhao, Neil Shah, Clark Mingxuan Ju
2025 A* conf
Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank.
WWW
Donald Loveland, Xinyi Wu, Tong Zhao, Danai Koutra, Neil Shah, Mingxuan Ju
2025 B conf
VirtualGCN - Enhancing Graph Collaborative Filtering with Virtual Interactions.
IEEE Big Data
Patrick Soga, Yushun Dong, Yaochen Zhu, Jundong Li, Tong Zhao, Neil Shah
2024 A* conf
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance.
ICLR
Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
2024 J jnl
Enhancing Item Tokenization for Generative Recommendation through Self-Improvement.
CoRR
Runjin Chen, Mingxuan Ju, Ngoc Bui, Dimosthenis Antypas, Stanley Cai, Xiaopeng Wu, Leonardo Neves, Zhangyang Wang, Neil Shah, Tong Zhao
2024 J jnl
Graph Foundation Models.
CoRR
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
2024 J jnl
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems.
CoRR
Xinyi Wu, Donald Loveland, Runjin Chen, Yozen Liu, Xin Chen, Leonardo Neves, Ali Jadbabaie, Clark Mingxuan Ju, Neil Shah, Tong Zhao
2024 J jnl
HARec: Hyperbolic Graph-LLM Alignment for Exploration and Exploitation in Recommender Systems.
CoRR
Qiyao Ma, Menglin Yang, Mingxuan Ju, Tong Zhao, Neil Shah, Rex Ying
2024 J jnl
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks.
CoRR
Rui Xue, Tong Zhao, Neil Shah, Xiaorui Liu
2024 A* conf
How Does Message Passing Improve Collaborative Filtering?
NeurIPS
Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao
2024 J jnl
How Does Message Passing Improve Collaborative Filtering?
CoRR
Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao
2024 A* conf
Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion.
SIGIR
Pau Perng-Hwa Kung, Zihao Fan, Tong Zhao, Yozen Liu, Zhixin Lai, Jiahui Shi, Yan Wu, Jun Yu, Neil Shah, Ganesh Venkataraman
2024 J jnl
Improving Out-of-Vocabulary Handling in Recommendation Systems.
CoRR
William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu
2024 A* conf
LLaGA: Large Language and Graph Assistant.
ICML
Runjin Chen, Tong Zhao, Ajay Kumar Jaiswal, Neil Shah, Zhangyang Wang
2024 J jnl
LLaGA: Large Language and Graph Assistant.
CoRR
Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
2024 — conf
Learning from Graphs Beyond Message Passing Neural Networks.
Tiny Papers @ ICLR
Tong Zhao, Neil Shah, Elham Ghazizadeh
2024 J jnl
Multimodal Graph Benchmark.
CoRR
Jing Zhu, Yuhang Zhou, Shengyi Qian, Zhongmou He, Tong Zhao, Neil Shah, Danai Koutra
2024 J jnl
Neural Scaling Laws on Graphs.
CoRR
Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang
2024 J jnl
Node Duplication Improves Cold-start Link Prediction.
CoRR
Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Neil Shah, Nitesh V. Chawla
2024 J jnl
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs.
CoRR
Jingzhe Liu, Haitao Mao, Zhikai Chen, Wenqi Fan, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang
2024 A* conf
Position: Graph Foundation Models Are Already Here.
ICML
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
2024 A* conf
Revisiting Link Prediction: a data perspective.
ICLR
Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2024 — conf
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems.
RobustRecSys@RecSys
Matthew Kolodner, Mingxuan Ju, Zihao Fan, Tong Zhao, Elham Ghazizadeh, Yan Wu, Neil Shah, Yozen Liu
2024 J jnl
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems.
CoRR
Matthew Kolodner, Mingxuan Ju, Zihao Fan, Tong Zhao, Elham Ghazizadeh, Yan Wu, Neil Shah, Yozen Liu
2024 A conf
The 5th International Workshop on Machine Learning on Graphs (MLoG).
WSDM
Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed
2024 — conf
Towards Neural Scaling Laws on Graphs.
LoG
Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang
2024 J jnl
Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank.
CoRR
Donald Loveland, Xinyi Wu, Tong Zhao, Danai Koutra, Neil Shah, Mingxuan Ju
2023 J jnl
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance.
CoRR
Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
2023 A* conf
CARL-G: Clustering-Accelerated Representation Learning on Graphs.
KDD
William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis
2023 J jnl
CARL-G: Clustering-Accelerated Representation Learning on Graphs.
CoRR
William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis
2023 A* conf
Data-Centric Learning from Unlabeled Graphs with Diffusion Model.
NeurIPS
Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang
2023 J jnl
Data-Centric Learning from Unlabeled Graphs with Diffusion Model.
CoRR
Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang
2023 J jnl
Deep Multimodal Complementarity Learning.
IEEE Trans. Neural Networks Learn. Syst.
Daheng Wang, Tong Zhao, Wenhao Yu, Nitesh V. Chawla, Meng Jiang
2023 A* conf
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
NeurIPS
Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2023 J jnl
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
CoRR
Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2023 A* conf
Empowering Graph Representation Learning with Test-Time Graph Transformation.
ICLR
Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
2023 J jnl
Graph Data Augmentation for Graph Machine Learning: A Survey.
IEEE Data Eng. Bull.
Tong Zhao, Wei Jin, Yozen Liu, Yingheng Wang, Gang Liu, Stephan Günnemann, Neil Shah, Meng Jiang
2023 J jnl
Graph Transformers for Large Graphs.
CoRR
Vijay Prakash Dwivedi, Yozen Liu, Anh Tuan Luu, Xavier Bresson, Neil Shah, Tong Zhao
2023 A* conf
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation.
NeurIPS
Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
2023 J jnl
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation.
CoRR
Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
2023 A* conf
Large-Scale Graph Neural Networks: The Past and New Frontiers.
KDD
Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu
2023 A* conf
Link Prediction with Non-Contrastive Learning.
ICLR
William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah
2023 A* conf
Linkless Link Prediction via Relational Distillation.
ICML
Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao
2023 A* conf
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization.
ICLR
Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
2023 J jnl
Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence.
IEEE Trans. Knowl. Data Eng.
Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
2023 A* conf
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization.
ICLR
Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
2023 J jnl
Revisiting Link Prediction: A Data Perspective.
CoRR
Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2023 A* conf
Semi-Supervised Graph Imbalanced Regression.
KDD
Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang
2023 J jnl
Semi-Supervised Graph Imbalanced Regression.
CoRR
Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang
2022 J jnl
A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning.
IEEE Trans. Neural Networks Learn. Syst.
Tong Zhao, Tianwen Jiang, Neil Shah, Meng Jiang
2022 — conf
AutoGDA: Automated Graph Data Augmentation for Node Classification.
LoG
Tong Zhao, Xianfeng Tang, Danqing Zhang, Haoming Jiang, Nikhil Rao, Yiwei Song, Pallav Agrawal, Karthik Subbian, Bing Yin, Meng Jiang
2022 — conf
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts.
ACL (Findings)
Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang
2022 J jnl
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts.
CoRR
Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang
2022 J jnl
Empowering Graph Representation Learning with Test-Time Graph Transformation.
CoRR
Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
2022 J jnl
Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance.
ACM Trans. Intell. Syst. Technol.
Meng Jiang, Taeho Jung, Ryan Karl, Tong Zhao
2022 — conf
Flashlight: Scalable Link Prediction With Effective Decoders.
LoG
Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
2022 J jnl
Flashlight: Scalable Link Prediction with Effective Decoders.
CoRR
Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
2022 — conf
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering.
EMNLP (Findings)
Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
2022 J jnl
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering.
CoRR
Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
2022 J jnl
Graph Data Augmentation for Graph Machine Learning: A Survey.
CoRR
Tong Zhao, Gang Liu, Stephan Günnemann, Meng Jiang
2022 A* conf
Graph Rationalization with Environment-based Augmentations.
KDD
Gang Liu, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang
2022 J jnl
Graph Rationalization with Environment-based Augmentations.
CoRR
Gang Liu, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang
2022 A* conf
Learning from Counterfactual Links for Link Prediction.
ICML
Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang
2022 J jnl
Link Prediction with Non-Contrastive Learning.
CoRR
William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah
2022 J jnl
Linkless Link Prediction via Relational Distillation.
CoRR
Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao
2022 J jnl
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization.
CoRR
Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
2022 J jnl
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization.
CoRR
Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
2022 J jnl
Neural-PDE: a RNN based neural network for solving time dependent PDEs.
Commun. Inf. Syst.
Yihao Hu, Tong Zhao, Shixin Xu, Lizhen Lin, Zhiliang Xu
2021 A conf
A Unified View on Graph Neural Networks as Graph Signal Denoising.
CIKM
Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
2021 A conf
Action Sequence Augmentation for Early Graph-based Anomaly Detection.
CIKM
Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang
2021 J jnl
Biomedical Knowledge Graphs Construction From Conditional Statements.
IEEE ACM Trans. Comput. Biol. Bioinform.
Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
2021 J jnl
Counterfactual Graph Learning for Link Prediction.
CoRR
Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang
2021 A* conf
Data Augmentation for Graph Neural Networks.
AAAI
Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah
2021 A* conf
Dynamic Attributed Graph Prediction with Conditional Normalizing Flows.
ICDM
Daheng Wang, Tong Zhao, Nitesh V. Chawla, Meng Jiang
2021 — conf
Sentence-Permuted Paragraph Generation.
EMNLP (1)
Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
2021 J jnl
Sentence-Permuted Paragraph Generation.
CoRR
Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
2020 J jnl
A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction.
CoRR
Yang Zhou, Tong Zhao, Meng Jiang
2020 J jnl
A Unified View on Graph Neural Networks as Graph Signal Denoising.
CoRR
Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
2020 J jnl
Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network.
CoRR
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
2020 J jnl
Data Augmentation for Graph Neural Networks.
CoRR
Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah
2020 J jnl
Early Anomaly Detection by Learning and Forecasting Behavior.
CoRR
Tong Zhao, Bo Ni, Wenhao Yu, Meng Jiang
2020 A conf
Error-Bounded Graph Anomaly Loss for GNNs.
CIKM
Tong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang, Meng Jiang
2020 J jnl
Federated Dynamic GNN with Secure Aggregation.
CoRR
Meng Jiang, Taeho Jung, Ryan Karl, Tong Zhao
2020 A* conf
Identifying Referential Intention with Heterogeneous Contexts.
WWW
Wenhao Yu, Mengxia Yu, Tong Zhao, Meng Jiang
2020 J jnl
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs.
CoRR
Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
2020 J jnl
Neural Time-Dependent Partial Differential Equation.
CoRR
Yihao Hu, Tong Zhao, Zhiliang Xu, Lizhen Lin
2019 — conf
CTGA: Graph-based Biomedical Literature Search.
BIBM
Tianwen Jiang, Zhihan Zhang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
2019 J jnl
Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements.
CoRR
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
2019 — conf
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text.
EMNLP/IJCNLP (1)
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
2019 A* conf
The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model.
KDD
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
2018 — conf
Actionable Objective Optimization for Suspicious Behavior Detection on Large Bipartite Graphs.
IEEE BigData
Tong Zhao, Matthew Malir, Meng Jiang