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Yijun Tian
Yijun Tian
Amazon AWS AI
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Title
Cited by
Cited by
Year
Heterogeneous Graph Masked Autoencoders
Y Tian, K Dong, C Zhang, C Zhang, NV Chawla
AAAI 2023 (oral), 2023
982023
G-retriever: Retrieval-augmented generation for textual graph understanding and question answering
X He, Y Tian, Y Sun, NV Chawla, T Laurent, Y LeCun, X Bresson, B Hooi
NeurIPS 2024, 2024
922024
Graph Neural Prompting with Large Language Models
Y Tian, H Song, Z Wang, H Wang, Z Hu, F Wang, NV Chawla, P Xu
AAAI 2024, 2024
772024
Graph-based molecular representation learning
Z Guo, K Guo, B Nan, Y Tian, RG Iyer, Y Ma, O Wiest, X Zhang, W Wang, ...
IJCAI 2023, 2023
722023
Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency
Y Tian, C Zhang, Z Guo, X Zhang, N Chawla
ICLR 2023 (Spotlight), 2023
722023
Towards Safer Large Language Models through Machine Unlearning
Z Liu, G Dou, Z Tan, Y Tian, M Jiang
ACL 2024 Findings, 2024
552024
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation
Y Tian, C Zhang, Z Guo, C Huang, R Metoyer, NV Chawla
IJCAI 2022, 2022
432022
Boosting Graph Neural Networks via Adaptive Knowledge Distillation
Z Guo, C Zhang, Y Fan, Y Tian, C Zhang, N Chawla
AAAI 2023, 2022
362022
Knowledge distillation on graphs: A survey
Y Tian, S Pei, X Zhang, C Zhang, NV Chawla
ACM Computing Surveys, 2023
352023
Recipe Recommendation With Hierarchical Graph Attention Network
Y Tian, C Zhang, R Metoyer, NV Chawla
Frontiers in Big Data, 2021
322021
Democratizing large language models via personalized parameter-efficient fine-tuning
Z Tan, Q Zeng, Y Tian, Z Liu, B Yin, M Jiang
EMNLP 2024, 2024
292024
Fair Graph Representation Learning via Diverse Mixture-of-Experts
Z Liu, C Zhang, Y Tian, E Zhang, C Huang, Y Ye, C Zhang
WWW 2023, 2023
272023
Class-imbalanced learning on graphs: A survey
Y Ma, Y Tian, N Moniz, NV Chawla
ACM Computing Surveys, 2023
242023
Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting
Y Ma, P Gerard, Y Tian, Z Guo, NV Chawla
CIKM 2022, 2022
242022
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
L Wu, Y Tian, Y Huang, S Li, H Lin, NV Chawla, SZ Li
ICLR 2024, 2024
222024
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
C Zhang, Y Tian, M Ju, Z Liu, Y Ye, N Chawla, C Zhang
ICLR 2023, 2023
212023
Can we soft prompt LLMs for graph learning tasks?
Z Liu*, X He*, Y Tian*, NV Chawla
WWW 2024, 2024
202024
NOSMOG: Learning noise-robust and structure-aware mlps on graphs
Y Tian, C Zhang, Z Guo, X Zhang, NV Chawla
NeurIPS 2022 GLFrontiers, 2022
202022
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks
Y Tian, C Zhang, Z Guo, Y Ma, R Metoyer, NV Chawla
IJCAI 2022, 2022
202022
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning
Z Liu, G Dou, Y Tian, C Zhang, E Chien, Z Zhu
WWW 2024, 2024
192024
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