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Yijun Tian

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

36

Venues

14

Active years

2020–2026

Best venue rank

A*

Where they publish

Papers

36 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIAdaptive and Context-rich Generative Self-supervised Learning on Graphs.Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla
2026AAAIPareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs.Wenrui Zhao, Yijun Tian, Zhichao Xu, Yawei Wang, Chuxu Zhang
2026ACLSelf-Evolving Multi-Agent Systems via Textual Backpropagation.Xiaowen Ma, Yunpu Ma, Chenyang Lin, Sikuan Yan, Jinhe Bi, Zixuan Cao, Yijun Tian, Volker Tresp, Hinrich Schtze
2026ACLReinforcement Learning for Self-Improving Agent with Skill Library.Jiongxiao Wang, Qiaojing Yan, Yawei Wang, Yijun Tian, Soumya Smruti Mishra, Zhichao Xu, Megha Gandhi, Panpan Xu, Lin Lee Cheong
2026ACLALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents.Tianyu Yang, Terry Ruas, Yijun Tian, Jan Philip Wahle, Daniel Kurzawe, Bela Gipp
2026EACLSALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph.Jiazheng Li, Yawei Wang, Qiaojing Yan, Yijun Tian, Zhichao Xu, Huan Song, Panpan Xu, Lin Lee Cheong
2026SIGIRLACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum.Zhichao Xu, Shengyao Zhuang, Crystina Zhang, Xueguang Ma, Yijun Tian, Maitrey Mehta, Jimmy Lin, Vivek Srikumar
2025CIKMTowards Few-shot Chemical Reaction Outcome Prediction.Yili Shen, Yijun Tian, Cheng-Wei Ju, Olaf Wiest, Xiangliang Zhang
2025IJCNLPCSPLADE: Learned Sparse Retrieval with Causal Language Models.Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding, Lin Lee Cheong
2025WSDMBeyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation.Yijun Tian, Yikun Han, Xiusi Chen, Wei Wang, Nitesh V. Chawla
2024AAAIGraph Neural Prompting with Large Language Models.Yijun Tian, Huan Song, Zichen Wang, Haozhu Wang, Ziqing Hu, Fang Wang, Nitesh V. Chawla, Panpan Xu
2024ACLTowards Safer Large Language Models through Machine Unlearning.Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang
2024CIKMFaDE: A Face Segment Driven Identity Anonymization Framework For Fair Face Recognition.Ziyi Kou, Yijun Tian, Meng Jiang, Xiangliang Zhang
2024CIKMChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation.Peiyu Li, Xiaobao Huang, Yijun Tian, Nitesh V. Chawla
2024EMNLPDemocratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning.Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang
2024ICLRMAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding.Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V. Chawla, Stan Z. Li
2024ICLRMitigating Emergent Robustness Degradation while Scaling Graph Learning.Xiangchi Yuan, Chunhui Zhang, Yijun Tian, Yanfang Ye, Chuxu Zhang
2024ICMLS3GCL: Spectral, Swift, Spatial Graph Contrastive Learning.Guancheng Wan, Yijun Tian, Wenke Huang, Nitesh V. Chawla, Mang Ye
2024ICMLLearning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning.Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V. Chawla, Stan Z. Li
2024KDDGraph Cross Supervised Learning via Generalized Knowledge.Xiangchi Yuan, Yijun Tian, Chunhui Zhang, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang
2024WWWBreaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning.Zheyuan Liu, Guangyao Dou, Eli Chien, Chunhui Zhang, Yijun Tian, Ziwei Zhu
2024WWWCan we Soft Prompt LLMs for Graph Learning Tasks?Zheyuan Liu, Xiaoxin He, Yijun Tian, Nitesh V. Chawla
2024WWWStructural Podcast Content Modeling with Generalizability.Yijun Tian, Maryam Aziz, Alice Wang, Enrico Palumbo, Hugues Bouchard
2023AAAIHeterogeneous Graph Masked Autoencoders.Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla
2023AAAIBoosting Graph Neural Networks via Adaptive Knowledge Distillation.Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla
2023ICLRLearning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency.Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla
2023ICLRChasing All-Round Graph Representation Robustness: Model, Training, and Optimization.Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang
2023ICMLWhen Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations.Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang
2023IJCAIGraph-based Molecular Representation Learning.Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla
2023IJCAICharacter As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models.Ziyi Kou, Shichao Pei, Yijun Tian, Xiangliang Zhang
2023WWWFair Graph Representation Learning via Diverse Mixture-of-Experts.Zheyuan Liu, Chunhui Zhang, Yijun Tian, Erchi Zhang, Chao Huang, Yanfang Ye, Chuxu Zhang
2022CIKMHierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting.Yihong Ma, Patrick Grard, Yijun Tian, Zhichun Guo, Nitesh V. Chawla
2022IJCAIRecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation.Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla
2022IJCAIRecipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks.Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla
2021CIKMRecipe Representation Learning with Networks.Yijun Tian, Chuxu Zhang, Ronald A. Metoyer, Nitesh V. Chawla
2020ICWSMQuasi-Experimental Designs for Assessing Response on Social Media to Policy Changes.Yijun Tian, Rumi Chunara