@article{tinyllm,
  title={TinyLLM: Learning a Small Student from Multiple Large Language Models},
  author={Tian, Yijun and Han, Yikun and Chen, Xiusi and Wang, Wei and Chawla, Nitesh V},
  journal={arXiv preprint arXiv:2402.04616},
  year={2024}
}

@inproceedings{gnp,
  title={Graph neural prompting with large language models},
  author={Tian, Yijun and Song, Huan and Wang, Zichen and Wang, Haozhu and Hu, Ziqing and Wang, Fang and Chawla, Nitesh V and Xu, Panpan},
  booktitle={AAAI},
  year={2024}
}

@article{ugmae,
  title={UGMAE: A Unified Framework for Graph Masked Autoencoders},
  author={Tian, Yijun and Zhang, Chuxu and Kou, Ziyi and Liu, Zheyuan and Zhang, Xiangliang and Chawla, Nitesh V},
  journal={arXiv preprint arXiv:2402.08023},
  year={2024}
}

@inproceedings{hgmae,
  title={Heterogeneous Graph Masked Autoencoders},
  author={Tian, Yijun and Dong, Kaiwen and Zhang, Chunhui and Zhang, Chuxu and Chawla, Nitesh V},
  booktitle={AAAI},
  year={2023}
}

@inproceedings{nosmog,
  title={Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency},
  author={Tian, Yijun and Zhang, Chuxu and Guo, Zhichun and Zhang, Xiangliang and Chawla, Nitesh V},
  booktitle={ICLR},
  year={2023}
}

@article{kd_graph_survey,
  title={Knowledge Distillation on Graphs: A Survey},
  author={Tian, Yijun and Pei, Shichao and Zhang, Xiangliang and Zhang, Chuxu and Chawla, Nitesh V},
  journal={arXiv preprint arXiv:2302.00219},
  year={2023}
}

@inproceedings{reciperec,
  title={RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation},
  author={Tian, Yijun and Zhang, Chuxu and Guo, Zhichun and Huang, Chao and Metoyer, Ronald and Chawla, Nitesh V.},
  booktitle={IJCAI},
  year={2022}
}

@inproceedings{recipe2vec,
  title={Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks},
  author={Tian, Yijun and Zhang, Chuxu and Guo, Zhichun and Ma, Yihong and Metoyer, Ronald and Chawla, Nitesh V},
  booktitle={IJCAI},
  year={2022}
}

@article{hgat,
  author={Tian, Yijun and Zhang, Chuxu and Metoyer, Ronald and Chawla, Nitesh V.},   
  title={Recipe Recommendation With Hierarchical Graph Attention Network},  
  journal={Frontiers in Big Data},  
  year={2022}
}

@inproceedings{rn2vec,
  title={Recipe representation learning with networks},
  author={Tian, Yijun and Zhang, Chuxu and Metoyer, Ronald and Chawla, Nitesh V},
  booktitle={CIKM},
  year={2021}
}

@article{gretriever,
  title={G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering},
  author={He, Xiaoxin and Tian, Yijun and Sun, Yifei and Chawla, Nitesh V and Laurent, Thomas and LeCun, Yann and Bresson, Xavier and Hooi, Bryan},
  journal={arXiv preprint arXiv:2402.07630},
  year={2024}
}

@inproceedings{prompt_llm_for_graph,
  title={Can we soft prompt LLMs for graph learning tasks?},
  author={Liu, Zheyuan and He, Xiaoxin and Tian, Yijun and Chawla, Nitesh V},
  booktitle={WWW},
  year={2024}
}

@inproceedings{conmu,
  title={Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning},
  author={Liu, Zheyuan and Dou, Guangyao and Tian, Yijun and Zhang, Chunhui and Chien, Eli and Zhu, Ziwei},
  booktitle={WWW},
  year={2024}
}

@article{sku,
  title={Towards Safer Large Language Models through Machine Unlearning},
  author={Liu, Zheyuan and Dou, Guangyao and Tan, Zhaoxuan and Tian, Yijun and Jiang, Meng},
  journal={arXiv preprint arXiv:2402.10058},
  year={2024}
}

@article{oppu,
  title={Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning},
  author={Tan, Zhaoxuan and Zeng, Qingkai and Tian, Yijun and Liu, Zheyuan and Yin, Bing and Jiang, Meng},
  journal={arXiv preprint arXiv:2402.04401},
  year={2024}
}

@inproceedings{dragon,
  title={Mitigating Severe Robustness Degradation on Graphs},
  author={Xiangchi Yuan and Chunhui Zhang and Yijun Tian and Yanfang Ye and Chuxu Zhang},
  booktitle={ICLR},
  year={2024}
}


@inproceedings{mapeppi,
  title={MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding},
  author={Wu, Lirong and Tian, Yijun and Huang, Yufei and Li, Siyuan and Lin, Haitao and Chawla, Nitesh V and Li, Stan Z},
  booktitle={ICML},
  year={2024}
}

@article{gnn_crowd_forecast,
  title={Advancing crowd forecasting with graphs across microscopic trajectory to macroscopic dynamics},
  author={Xie, Chuan-Zhi Thomas and Xu, Junhao and Zhu, Bin and Tang, Tie-Qiao and Lo, Siuming and Zhang, Botao and Tian, Yijun},
  journal={Information Fusion},
  year={2024}
}

@article{data_centric_AD_survey,
  title={Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies},
  author={Li, Lincan and Shao, Wei and Dong, Wei and Tian, Yijun and Yang, Kaixiang and Zhang, Wenjie},
  journal={arXiv preprint arXiv:2401.12888},
  year={2024}
}

@inproceedings{datadec,
  title={When sparsity meets contrastive models: less graph data can bring better class-balanced representations},
  author={Zhang, Chunhui and Huang, Chao and Tian, Yijun and Wen, Qianlong and Ouyang, Zhongyu and Li, Youhuan and Ye, Yanfang and Zhang, Chuxu},
  booktitle={ICML},
  year={2023}
}

@inproceedings{game,
  title={Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization},
  author={Zhang, Chunhui and Tian, Yijun and Ju, Mingxuan and Liu, Zheyuan and Ye, Yanfang and Chawla, Nitesh and Zhang, Chuxu},
  booktitle={ICLR},
  year={2023}
}

@inproceedings{gfame,
  title={Fair Graph Representation Learning via Diverse Mixture of Experts},
  author={Liu, Zheyuan and Zhang, Chunhui and Tian, Yijun and Zhang, Erchi and Huang, Chao and Ye, Yanfang and Zhang, Chuxu},
  booktitle={WWW},
  year={2023}
}

@inproceedings{bgnn,
  title={Boosting graph neural networks via adaptive knowledge distillation},
  author={Guo, Zhichun and Zhang, Chunhui and Fan, Yujie and Tian, Yijun and Zhang, Chuxu and Chawla, Nitesh V},
  booktitle={AAAI},
  year={2023}
}

@inproceedings{chargrad,
  title={Character as pixels: a controllable prompt adversarial attacking framework for black-box text guided image generation models},
  author={Kou, Ziyi and Pei, Shichao and Tian, Yijun and Zhang, Xiangliang},
  booktitle={IJCAI},
  year={2023}
}

@inproceedings{mol_survey,
  title={Graph-based molecular representation learning},
  author={Guo, Zhichun and Guo, Kehan and Nan, Bozhao and Tian, Yijun and Iyer, Roshni G and Ma, Yihong and Wiest, Olaf and Zhang, Xiangliang and Wang, Wei and Zhang, Chuxu and others},
  booktitle={IJCAI},
  year={2023}
}

@article{imbalance_survey,
  title={Class-Imbalanced Learning on Graphs: A Survey},
  author={Ma, Yihong and Tian, Yijun and Moniz, Nuno and Chawla, Nitesh V},
  journal={arXiv preprint arXiv:2304.04300},
  year={2023}
}

@inproceedings{dragon_workshop,
  title={Navigating Graph Robust Learning against All-Intensity Attacks},
  author={Yuan, Xiangchi and Zhang, Chunhui and Tian, Yijun and Zhang, Chuxu},
  booktitle={The Second Workshop on New Frontiers in Adversarial Machine Learning},
  year={2023}
}

@article{ysmm,
  title={Structural racism and homophobia evaluated through social media sentiment combined with activity spaces and associations with mental health among young sexual minority men},
  author={Duncan, Dustin T and Cook, Stephanie H and Wood, Erica P and Regan, Seann D and Chaix, Basile and Tian, Yijun and Chunara, Rumi},
  journal={Social Science \& Medicine},
  year={2023}
}

@inproceedings{fakeedge,
  title={FakeEdge: Alleviate Dataset Shift in Link Prediction},
  author={Dong, Kaiwen and Tian, Yijun and Guo, Zhichun and Yang, Yang and Chawla, Nitesh},
  booktitle={LoG},
  year={2022}
}

@inproceedings{histgnn,
  title={Hierarchical spatio-temporal graph neural networks for pandemic forecasting},
  author={Ma, Yihong and Gerard, Patrick and Tian, Yijun and Guo, Zhichun and Chawla, Nitesh V},
  booktitle={CIKM},
  year={2022}
}

@inproceedings{tian2020quasi, 
  author={Tian, Yijun and Chunara, Rumi},
  title={Quasi-Experimental Designs for Assessing Response on Social Media to Policy Changes}, 
  booktitle = {ICWSM},
  year = {2020}
}

@article{tian2019geek,
  title={Geek talents: Who are the top experts on github and stack overflow?},
  author={Tian, Yijun and Ng, Waii and Cao, Jialiang and McIntosh, Suzanne},
  journal={Computers, Materials \& Continua},
  year={2019}
}