PPaperPicks

Yijun Tian

Amazon Web Services

23 papers at tracked venues · 17 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-2795-6080 ↗Google Scholar ↗Homepage ↗

Venues

ACL ×4AAAI ×3CIKM ×3WWW ×3ICLR ×2ICML ×2EACL ×1EMNLP ×1NeurIPS ×1SIGIR ×1SIGKDD ×1WSDM ×1

Frequent coauthors

Nitesh V. Chawla
×10
Zheyuan Liu
×5
Chuxu Zhang
×4
Zhichao Xu
×4
Xiangliang Zhang
×3
Yawei Wang
×3
Panpan Xu
×3
Chunhui Zhang
×3
Meng Jiang
×3
Ziyi Kou
×2
Qiaojing Yan
×2
Lin Lee Cheong
×2

Papers

  1. ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents
    ACL 2026 ·
    Tianyu Yang
    ,
    Terry Ruas
    , Yijun Tian,
    Jan Philip Wahle
    ,
    Daniel Kurzawe
    ,
    Bela Gipp
  2. Adaptive and Context-rich Generative Self-supervised Learning on Graphs
    AAAI 2026 · Yijun Tian,
    Chuxu Zhang
    ,
    Ziyi Kou
    ,
    Zheyuan Liu
    ,
    Xiangliang Zhang
    ,
    Nitesh V. Chawla
  3. LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum
    SIGIR 2026 ·
    Zhichao Xu
    ,
    Shengyao Zhuang
    ,
    Crystina Zhang
    ,
    Xueguang Ma
    , Yijun Tian,
    Maitrey Mehta
    ,
    Jimmy Lin
    ,
    Vivek Srikumar
  4. Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs
    AAAI 2026 ·
    Wenrui Zhao
    , Yijun Tian,
    Zhichao Xu
    ,
    Yawei Wang
    ,
    Chuxu Zhang
  5. Reinforcement Learning for Self-Improving Agent with Skill Library
    ACL 2026 ·
    Jiongxiao Wang
    ,
    Qiaojing Yan
    ,
    Yawei Wang
    , Yijun Tian,
    Soumya Smruti Mishra
    ,
    Zhichao Xu
    ,
    Megha Gandhi
    ,
    Panpan Xu
    ,
    Lin Lee Cheong
  6. SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph
    EACL 2026 ·
    Jiazheng Li
    ,
    Yawei Wang
    ,
    Qiaojing Yan
    , Yijun Tian,
    Zhichao Xu
    ,
    Huan Song
    ,
    Panpan Xu
    ,
    Lin Lee Cheong
  7. Self-Evolving Multi-Agent Systems via Textual Backpropagation
    ACL 2026 ·
    Xiaowen Ma
    ,
    Yunpu Ma
    ,
    Chenyang Lin
    ,
    Sikuan Yan
    ,
    Jinhe Bi
    ,
    Zixuan Cao
    , Yijun Tian,
    Volker Tresp
    ,
    Hinrich Schütze
  8. Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
    WSDM 2025 · Yijun Tian,
    Yikun Han
    ,
    Xiusi Chen
    ,
    Wei Wang
    ,
    Nitesh V. Chawla
  9. Towards Few-shot Chemical Reaction Outcome Prediction
    CIKM 2025 ·
    Yili Shen
    , Yijun Tian,
    Cheng-Wei Ju
    ,
    Olaf Wiest
    ,
    Xiangliang Zhang
  10. Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning
    WWW 2024 ·
    Zheyuan Liu
    ,
    Guangyao Dou
    ,
    Eli Chien
    ,
    Chunhui Zhang
    , Yijun Tian,
    Ziwei Zhu
  11. Can we Soft Prompt LLMs for Graph Learning Tasks?
    WWW 2024 ·
    Zheyuan Liu
    ,
    Xiaoxin He
    , Yijun Tian,
    Nitesh V. Chawla
  12. ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation
    CIKM 2024 ·
    Peiyu Li
    ,
    Xiaobao Huang
    , Yijun Tian,
    Nitesh V. Chawla
  13. Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
    EMNLP 2024 ·
    Zhaoxuan Tan
    ,
    Qingkai Zeng
    , Yijun Tian,
    Zheyuan Liu
    ,
    Bing Yin
    ,
    Meng Jiang
  14. FaDE: A Face Segment Driven Identity Anonymization Framework For Fair Face Recognition
    CIKM 2024 ·
    Ziyi Kou
    , Yijun Tian,
    Meng Jiang
    ,
    Xiangliang Zhang
  15. G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
    NeurIPS 2024 ·
    Xiaoxin He
    , Yijun Tian,
    Yifei Sun
    ,
    Nitesh V. Chawla
    ,
    Thomas Laurent
    ,
    Yann LeCun
    ,
    Xavier Bresson
    ,
    Bryan Hooi
  16. Graph Cross Supervised Learning via Generalized Knowledge
    SIGKDD 2024 ·
    Xiangchi Yuan
    , Yijun Tian,
    Chunhui Zhang
    ,
    Yanfang Ye
    ,
    Nitesh V. Chawla
    ,
    Chuxu Zhang
  17. Graph Neural Prompting with Large Language Models
    AAAI 2024 · Yijun Tian,
    Huan Song
    ,
    Zichen Wang
    ,
    Haozhu Wang
    ,
    Ziqing Hu
    ,
    Fang Wang
    ,
    Nitesh V. Chawla
    ,
    Panpan Xu
  18. Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
    ICML 2024 ·
    Lirong Wu
    , Yijun Tian,
    Haitao Lin
    ,
    Yufei Huang
    ,
    Siyuan Li
    ,
    Nitesh V. Chawla
    ,
    Stan Z. Li
  19. MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
    ICLR 2024 ·
    Lirong Wu
    , Yijun Tian,
    Yufei Huang
    ,
    Siyuan Li
    ,
    Haitao Lin
    ,
    Nitesh V. Chawla
    ,
    Stan Z. Li
  20. Mitigating Emergent Robustness Degradation while Scaling Graph Learning
    ICLR 2024 ·
    Xiangchi Yuan
    ,
    Chunhui Zhang
    , Yijun Tian,
    Yanfang Ye
    ,
    Chuxu Zhang
  21. S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
    ICML 2024 ·
    Guancheng Wan
    , Yijun Tian,
    Wenke Huang
    ,
    Nitesh V. Chawla
    ,
    Mang Ye
  22. Structural Podcast Content Modeling with Generalizability
    WWW 2024 · Yijun Tian,
    Maryam Aziz
    ,
    Alice Wang
    ,
    Enrico Palumbo
    ,
    Hugues Bouchard
  23. Towards Safer Large Language Models through Machine Unlearning
    ACL 2024 ·
    Zheyuan Liu
    ,
    Guangyao Dou
    ,
    Zhaoxuan Tan
    , Yijun Tian,
    Meng Jiang