1. Enabling Agents to Communicate Entirely in Latent Space
    Zhuoyun Du*, Runze Wang*, Huiyu Bai, Zouying Cao, Xiaoyong Zhu, Bo Zheng, Wei Chen, and Haochao Ying
    Association for Computational Linguistics (ACL), 2026
    Paper Code Oral recommended
  1. LLMs Can Simulate Standardized Patients via Agent Coevolution
    Zhuoyun Du*, Lujie Zheng*, Renjun Hu, Yuyang Xu, Xiawei Li, Ying Sun, Wei Chen, Jian Wu, Haolei Cai, and Haohao Ying
    Association for Computational Linguistics (ACL), 2025
    Paper Code
  1. Multi-Agent Collaboration via Cross-Team Orchestration
    Zhuoyun Du*, Chen Qian*, Wei Liu, Zihao Xie, Yifei Wang, Yufan Dang, Weize Chen, and Cheng Yang
    Findings of the Association for Computational Linguistics (ACL Findings), 2025
    Paper Code
  1. Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization
    Shan He, Runze Wang, Zhuoyun Du, Huiyu Bai, Zouying Cao, Yucheng, and Bo Zheng
    Findings of the Association for Computational Linguistics (ACL Findings), 2026
  1. MemCoRL: Alternating Co-Optimization of Memory Retrieval and Utilization via Collaborative Reinforcement Learning
    Yuewen Liu, Peng Xu, Zhuoyun Du, Muxi Diao, Anyi Zhang, Yang Li, and Yutong Zhang
    Association for Computational Linguistics (ACL), 2026

Other Papers

  1. Online-PVLM: Advancing Personalized VLMs with Online Concept Learning
    Huiyu Bai*, Runze Wang*, Zhuoyun Du*, Yiyang Zhao, Fengji Zhang, Haoyu Chen, Xiaoyong Zhu, Bo Zheng, and Xuejiao Zhao
    arXiv preprint, 2025
    Paper
  1. Scaling Large-Language-Model-based Multi-Agent Collaboration
    Chen Qian*, Zihao Xie*, Yifei Wang*, Wei Liu, Yufan Dang, Zhuoyun Du, Weize Chen, Cheng Yang, Zhiyuan Liu, and Maosong Sun
    International Conference on Learning Representations (ICLR), 2025
    Paper Code
  1. Autonomous Agents for Collaborative Task under Information Asymmetry
    Wei Liu*, Chenxi Wang*, Yifei Wang, Zihao Xie, Rennai Qiu, Yufan Dang, Zhuoyun Du, Weize Chen, Cheng Yang, and Chen Qian
    Conference on Neural Information Processing Systems (NeurIPS), 2024
    Paper Code
  1. SSPO: Self-traced Step-wise Preference Optimization for Process Supervision and Reasoning Compression
    Yuyang Xu, Yi Cheng, Haochao Ying, Zhuoyun Du, Renjun Hu, Xing Shi, Wei Lin, and Jian Wu
    arXiv preprint, 2025
    Paper

* denotes equal contribution.

Experience

Talent Program Intern, Machine Learning Engineer, ByteDance (Mar. 2026 - Jul. 2026)
  • Built the team's first data-flywheel rollout system for multi-turn, task-oriented dialogue, supporting downstream multi-turn dialogue RL and agentic RL.
  • Designed a self-play simulation and evaluation environment with high-fidelity, persona-conditioned user-simulation agents for rollout generation and evaluation signals.
  • Conducted post-training and preference alignment of large-scale LLMs (e.g., Qwen3.5-122B/397B) using SFT and RLHF/DPO, alongside autonomous agent-driven evaluation of dialogue policies.
Research Intern, Future Living Lab (now part of Token Foundry with Tingyi Lab), Alibaba Group (Jan. 2025 - Mar. 2026)
  • Proposed Interlat (code), a latent-space communication framework that replaces natural-language message passing with temporally aligned hidden-state exchange.
  • Designed a token-latent curriculum and learned compression scheme, achieving up to 24x communication speedup at comparable task performance.
  • Gained hands-on experience with distributed training on 256+ GPUs; co-authored Online-PVLM, MemCoRL, and Learning to Evolve.
M.Eng. Research, State Key Lab of CAD&CG, Zhejiang University (Sept. 2024 - present)
  • Led EvoPatient (code), an open-source doctor-patient coevolution system for virtual standardized patients, accepted to ACL 2025.
  • Drove the project end-to-end, including research formulation, system implementation, medical-case curation, expert evaluation, and paper writing.
  • Improved patient-answer ability from 0.763 to 0.860 after 200 training cases.
Research Assistant, THUNLP, Tsinghua University (Dec. 2023 - Aug. 2024)
  • Worked with Prof. Zhiyuan Liu and Prof. Chen Qian on ChatDev-based multi-agent collaboration, studying role organization, information exchange, and coordination.
  • Led Croto (code), designing cross-team orchestration with parallel teams, hierarchy partitioning, and greedy aggregation for multi-agent software development.
  • Contributed to MACNet (code) and iAgent (code); related OpenBMB/ChatDev projects have accumulated over 33k GitHub stars.

Awards and Honors

  • 2026: Outstanding Graduate Student.
  • 2025: National Scholarship (awarded to ∼2% of master’s students nationwide annually); Outstanding Graduate Student.
  • 2024: First-Class Scholarship for Outstanding Graduates.
  • Undergraduate: Three undergraduate scholarships.

Academic Service

Miscellaneous

Beyond research, I enjoy soccer, fencing, snowboarding, billiards, ballroom dancing, piano, photography, and physics. I occasionally write notes on my personal blog.

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