I am a PhD student at Zhejiang University and Westlake University. I am fortunate to be advised by Zhenzhong Lan. I am also a remote visiting student at The HongKong University of Science and Technology and fortunately to be advised by Junxian He.

I am generally interested in LLM as Agent (Agentboard, Predictive Decoding), GUI agent (GUIMid) and Synthetic Data (SynCSE, IS-CSE).

Most recent publications on Google Scholar.

📚 Preprint

Compression Represents Intelligence Linearly

Junlei Zhang*, Zichen Ding*, Chang Ma, Zijie Chen, Qiushi Sun, Zhenzhong Lan, Junxian He†. Submitted to COLM 2025
Paper  | Dataset

📚 Publications

* denotes co‑first authors


AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents

Ma Chang*, Junlei Zhang*, Zhihao Zhu*, Cheng Yang*, Yujiu Yang, Yaohui Jin, Zhenzhong Lan, Lingpeng Kong, Junxian He†. NeurIPS 2024 Oral
Paper | Dataset | Code


Non-myopic Generation of Language Models for Reasoning and Planning

Chang Ma, Haiteng Zhao, Junlei Zhang, Junxian He†, Lingpeng Kong†. ICLR 2025 Paper | Code


Instance smoothed contrastive learning for unsupervised sentence embedding

Hongliang He*, Junlei Zhang*, Zhenzhong Lan†, Yue Zhang†. AAAI 2023, Project leader
Paper | Code


Contrastive learning of sentence embeddings from scratch

Junlei Zhang, Zhenzhong Lan, Junxian He†. EMNLP 2023
Paper | Code


C‑Eval: A Multi‑Level Multi‑Discipline Chinese Evaluation Suite for Foundation Models

Yuzhen Huang*, Yuzhuo Bai*, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, Jiayi Lei, Yao Fu, Maosong Sun, Junxian He†. NeurIPS 2023
Paper | Website | Dataset | Code


Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts

Guilin Li*, Junlei Zhang*, Yunhe Wang, Chuanjian Liu, Matthias Tan, Yunfeng Lin, Wei Zhang, Jiashi Feng, Tong Zhang NeurIPS 2020
Paper | Code


🌟 Internship

  • *2019.09 - 2020.09 Huawei Noah’s Ark Lab, Hong Kong, China.

    🎖 Awards

  • 2014.7 National Scholarship

đź“– Education