Feng Sicheng

National University of Singapore. Singapore.

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Hi, I’m Sicheng Feng (冯思程), currently a first-year Ph.D. student at the xML Lab @National University of Singapore, under the supervision of Prof. Xinchao Wang (Presidential Young Professor). Previously, I earned my Bachelor’s degree in computer science from Nankai University in 2025 and spent my internship time with Prof. Huan Wang at the ENCODE Lab @Westlake University. I am broadly interested in reasoning with LLMs/MLLMs/dLLMs (text reasoning, visual reasoning) and efficiency AI (pruning, fast inference).

Services: Reviewer for CVPR (2026), ICML (2026), ECCV (2026), NeurIPS (2026), TMLR, TPAMI

news

  • [NeurIPS'26] One first-author paper dMoE was accepted by NeurIPS 2026!
  • [TMLR'26] One first-author paper Oracle Pruning was accepted by TMLR!
  • [CVPR'26] One first-author paper ReasonMap was accepted by CVPR 2026!
  • [ICLR'26] One first-author paper RewardMap was accepted by ICLR 2026!
  • [TMLR'26] One co-author paper Token Compression Survey was accepted by TMLR!
  • [Ph.D.] Start my Ph.D. journey at the xML Lab @NUS.
  • [TMLR'25] One first-author paper Efficient Reasoning Survey was accepted by TMLR!
  • [Graduation] Get Bachelor’s degree in Computer Science from Nankai University.
  • [Cell Discov.'24] One first-author paper scBackdoor was accepted by Cell Discovery!
  • [Award] Awarded National Scholarship (0.5%, ¥10000) and 95s Heart Scholarship (2%, ¥5000) in 2024!
  • [Award] Won National First Prize (¥30000) for CSDC in 2024!
  • [Award] Awarded GongNeng Scholarship (5%, ¥5000) in 2023!

internship

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xML Lab , National University of Singapore
advisor: Prof Xinchao Wang
Jan 24, 2025
–
May 23, 2025
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ENCODE Lab , Westlake University
advisor: Prof Huan Wang
Jul 09, 2024
–
Sep 26, 2025

selected publications

  1. arXiv
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    dVoting: Fast Voting for dLLMs
    Sicheng Feng, Zigeng Chen , Xinyin Ma , and 2 more authors
    arXiv, 2026
  2. NeurIPS
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    dMoE: dLLMs with Learnable Block Experts
    Sicheng Feng, Zigeng Chen , Gongfan Fang , and 2 more authors
    NeurIPS, 2026
  3. ICLR
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    RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning
    Sicheng Feng†, Kaiwen Tuo† , Song Wang , and 3 more authors
    ICLR, 2026
  4. CVPR
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    ReasonMap: Towards Fine-Grained Visual Reasoning from Transit Maps
    Sicheng Feng†, Song Wang† , Shuyi Ouyang , and 5 more authors
    CVPR, 2026
  5. TMLR
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    Efficient Reasoning Models: A Survey
    Sicheng Feng, Gongfan Fang , Xinyin Ma , and 1 more author
    TMLR, 2025
  6. Cell Discov.
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    Unveiling potential threats: backdoor attacks in single-cell pre-trained models.
    Sicheng Feng, Siyu Li , Luonan Chen* , and 1 more author
    Cell Discovery, (Q1 TOP, IF=14.8) , 2024