Zecheng Tang (汤泽成)

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Brief Bio

I am currently a fourth-year PhD candidate at Soochow University (exp. grad. Jul 2027), supervised by Assoc. Prof. Juntao Li and Prof. Min Zhang. My research focuses on Machine Learning and Foundation Model (with Algorithm-Architecture co-design). My contributions include but not limited to: Qwen-Image, Visual ChatGPT, NUWA-series (LayoutNUWA/StrokeNUWA), and OpenBA-series (OpenBA-V1/OpenBA-V2).

I have been also conducting research on algorithm optimization (model architecture, post-training) and infrastructure building (evaluation, training platforms) for scalable Long Sequence Modeling and Aligning at LCM-Lab, with 9 publications (currently) in this field. See my project homepage for a complete list.

Before that, I obtained my Bachelor's degree in Software Engineering from Soochow University (ranked 1st / 380). My formal name is Zecheng Tang (汤泽成), and you may call me Zecheng (/zə'tʃɛŋ/), or simply Tang.

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Work Experience

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Selected Conference & Journal

* indicates equal contribution; Full list: Google Scholar; Rank system: CCF (China Computer Federation)

[Click to view / hide selected list]

Long-context Modeling & Evaluation

• Revisiting Long-Context Modeling from a Context Denoising Perspective
  Zecheng Tang, Baibei Ji, Juntao Li, Lijun Wu, Haijia Gui, Min Zhang.
  ICLR 2026, CCF A.
  [Paper] [Code] [Media]
• L-CiteEval: Do Long-Context Models Truly Leverage Context for Responding?
  Zecheng Tang, Keyan Zhou, Juntao Li, Baibei Ji, Jianye Hou, Min Zhang.
  ACL 2025 (Long Main), CCF A.
  [Paper] [Code] [Media]
• LOGO -- Long cOntext aliGnment via efficient preference Optimization
  Zecheng Tang, Zechen Sun, Juntao Li, Qiaoming Zhu, Min Zhang.
  ICML 2025, CCF A.
  [Paper] [Code] [Media]
• Open-ended long text generation via masked language modeling
  Xiaobo Liang*, Zecheng Tang*, Juntao Li, Min Zhang.
  ACL 2023 (Long Main), CCF A.
  [Paper] [Code]

Generative Model

• StrokeNUWA: Tokenizing Strokes for Vector Graphic Synthesis
  Zecheng Tang, Chenfei Wu, Zekai Zhang, Mingheng Ni, Juntao Li, Nan Duan, et al.
  ICML 2024, CCF A.
  [Paper] [Code] [Media]
• LayoutNUWA: Revealing the hidden layout expertise of large language models
  Zecheng Tang, Chenfei Wu, Juntao Li, Nan Duan.
  ICLR 2024, CCF A.
  [Paper] [Code] [Media]

Foundation Model (& Optimization)

• OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model
  Juntao Li*, Zecheng Tang*, Yuyang Ding*, Pinzheng Wang*, Min Zhang, et al.
  SCIS 2025, CCF A.
  [Paper] [Code] [Media]
• CMD: a framework for Context-aware Model self-Detoxification
  Zecheng Tang, Keyan Zhou, Juntao Li, Yuyang Ding, Pinzheng Wang, Min Zhang, et al.
  EMNLP 2024 (Long Main), CCF B.
  [Paper] [Code] [Media]
• Improving temporal generalization of pre-trained language models with lexical semantic change
  Zhaochen Su*, Zecheng Tang*, Xinyan Guan, Juntao Li, Lijun Wu, Min Zhang.
  EMNLP 2022 (Long Main), CCF B.
  [Paper] [Code]

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Selected Preprint

* indicates equal contribution; Full list: Google Scholar.

[Click to view / hide selected list]

Technical Report

• Qwen-Image Technical Report
  Core Contributor*
  [Aug 2025] [Arxiv] [Code] [Media]
• Step-Video-T2V Technical Report
  Contributor*
  [Feb 2025] [Arxiv] [Code] [Media]
• Visual chatgpt: Talking, drawing and editing with visual foundation models
  Chenfei Wu, Shengming Yin, Weizhen Qi, Xiaodong Wang, Zecheng Tang, Nan Duan.
  [Mar 2023] [Paper] [Code] [Media]

Long-context Modeling & Evaluation

• Elastic Attention: Test-time Adaptive Sparsity Ratios for Efficient Transformers
  Zecheng Tang, Zecheng Tang, Quantong Qiu, Yi Yang, Zhiyi Hong, Haiya Xiang, Juntao Li, Min Zhang, et al.
  [Jan 2026] [Arxiv] [Code] [Media]
• MemoryRewardBench: Benchmarking Reward Models for Long-Term Memory Management in Large Language Models
  Zecheng Tang, Baibei Ji, Ruoxi Sun, Haitian Wang, Juntao Li, Min Zhang, et al.
  [Jan 2026] [Arxiv] [Code] [Media]
• MMLongCite: A Benchmark for Evaluating Fidelity of Long-Context Vision-Language Models
  Keyan Zhou, Zecheng Tang, Libo Qin, Juntao Li, Min Zhang, et al.
  [Oct 2025] [Arxiv] [Code]
• LongRM: Revealing and Unlocking the Context Boundary of Reward Modeling
  Zecheng Tang, Baibei Ji, Quantong Qiu, Haitian Wang, Xiaobo Liang, Juntao Li, Min Zhang.
  [Oct 2025] [Arxiv] [Code] [Media]
• LOOM-Scope: LOng-cOntext Model evaluation framework
  Zecheng Tang, Haitian Wang, Quantong Qiu, Baibei Ji, Ruoxi Sun, Keyan Zhou, Juntao Li, Min Zhang
  [Jul 2025] [Arxiv] [Code] [Media]

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Honor & Award

Key terminology translation reference: Chinese Fund Translation.

• 2025: Young Elite Scientists Sponsorship Program (Doctoral Student Special Plan), China Association for Science and Technology (CAST)
• 2025: Top Reviewer, NeurIPS Program Committee.
• 2025: National Scholarship, Soochow University.
• 2024: Star of Tomorrow, Microsoft Research Asia.
• 2022: Outstanding Graduate (ranked 1st/380), Soochow University.
• 2022: Huawei Scholarship (Top 5% Undergraduate), Huawei Inc.

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Talk

• [Nov 2024] Long Context Modeling in LLMs: Advances and Challenges, NLPCC 2024 Tutorial. [Slides]
• [Apr 2023] Leveraging Large Language Models for Tool Invocation, OPPO (closed-door seminar).

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Service

I have been serving as a reviewer for the following conferences:

• Natural Language Processing: {ACL, EMNLP, ARR} (2022 - 2026), NLPCC (2023)
• Machine Learning: {ICML, NeurIPS, ICLR} (2024 - 2026)
• Computer Vision: CVPR (2025, 2026), ICCV (2026)
• Artificial Intelligence: AAAI (2022, 2024)

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