Dujian Ding

Research Scientist at Meta Superintelligence Lab.

I am interested in making AI accessible to everyone.

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Recent Papers

  1. Towards Data and Model Management: From DBMS to DMMS (full version)
    Dujian Ding, Xiangpeng Hao, Yifei Li, Bicheng Xu, Keke Huang, Laks V.S. Lakshmanan
    Submitted to VLDB 2026
  2. ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries
    Keke Huang, Yimin Shi, Dujian Ding, Yifei Li, Yang Fei, Laks V.S. Lakshmanan, Xiaokui Xiao
    51st International Conference on Very Large Data Bases (VLDB), 2025
  3. Navigating the Prompt Space: Supervision Matters in CoT When Reasoning Misleads
    Xiang Zhang, Juntai Cao, Chenyu You, Dujian Ding
    The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025
  4. BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
    Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian Del Carmen Hipolito Garcia, Menglin Xia, Laks V.S. Lakshmanan, Qingyun Wu, Victor Rühle
    Forty-Second International Conference on Machine Learning (ICML), 2025
  5. EcoAct: Economic Agent Determines When to Register What Action
    Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Del Carmen Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Rühle, Qingyun Wu, Chi Wang
    Reasoning and Planning for LLMs Workshop @ ICLR, 2025
  6. OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference
    Dujian Ding, Bicheng Xu, Laks V.S. Lakshmanan
    The Thirteenth International Conference on Learning Representations (ICLR), 2025
  7. Pruning Attention Heads with Almost-sure Sparsity Targets
    Dujian Ding, Ganesh Jawahar, Laks V.S. Lakshmanan
    Transactions on Machine Learning Research (TMLR), 2024
  8. LLM Performance Predictors are good initializers for Architecture Search
    Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V.S. Lakshmanan, Dujian Ding
    Findings of the Association for Computational Linguistics (ACL), 2024
  9. Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
    Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V.S. Lakshmanan, Ahmed Hassan Awadallah
    The Twelfth International Conference on Learning Representations (ICLR), 2024
  10. On Efficient Approximate Queries over Machine Learning Models (paper, code)
    Dujian Ding, Sihem Amer-Yahia, Laks V.S. Lakshmanan
    49th International Conference on Very Large Data Bases (VLDB), 2023
  11. Uncovering the subtype-specific temporal order of cancer pathway dysregulation (paper, code)
    Sahand Khakabimamaghani, Dujian Ding, Oliver Snow, Martin Ester
    PLOS Computational Biology, 2019
  12. Collaborative Intra-tumor Heterogeneity Detection (paper, code)
    Sahand Khakabimamaghani, Salem Malikic, Jeffrey Tang, Dujian Ding, Ryan Morin, Leonid Chindelevitch, Martin Ester
    Bioinformatics, 2019
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