Zhijie Nie (聂志捷)

Zhijie Nie (聂志捷)

Ph.D. Candidate

Zhijie Nie (聂志捷)

I am a Ph.D. candidate in Computer Science at Beihang University, supervised by Prof. Richong Zhang and Yongyi Mao (uOttawa). I finished my undergraduate studies at Beihang University and transitioned into the Ph.D. program in 2021.

I am visiting Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), supervised by Prof. Qiang Sun (Uoft).

I have a broad interest in natural language processing, especially for text representation learning.

Publication

Text Representation Learning

  1. Zhijie Nie, Richong Zhang, Yongyi Mao. On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations. ICLR 2023
  2. Zhijie Nie, Richong Zhang, Zhanyu Wu. A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens. ACL 2025
  3. Minxin Li, Richong Zhang, Zhijie Nie. Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient. ACL 2024
  4. Minxin Li, Richong Zhang, Zhijie Nie. Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model. AAAI 2024
  5. Zhijie Nie, Zhangchi Feng, Mingxin Li, Cunwang Zhang, Yanzhao Zhang, Dingkun Long, Richong Zhang. When Text Embedding Meets Large Language Model: A Comprehensive Survey. Preprint (Survey)

Multi-Modal Semantic Alignment

  1. Zhijie Nie, Richong Zhang, Zhangchi Feng, Hailang Huang, Xudong Liu. Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning. KDD 2024
  2. Dongdong Kuang, Richong Zhang, Zhijie Nie. Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding. AAAI 2025
  3. Zhangchi Feng, Richong Zhang, Zhijie Nie. Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives. ACM MM 2024
  4. Hailang Huang, Zhijie Nie, Ziqiao Wang, Ziyu Shang. Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval. AAAI 2024

Complex Reasoning on Structured Data

  1. Zhijie Nie, Richong Zhang, Zhongyuan Wang. Code-Style In-Context Learning for Knowledge-Based Question Answering. AAAI 2024
  2. Zhongyuan Wang, Richong Zhang, Zhijie Nie, Jaein Kim. Tool-Assisted Agent on SQL Inspection and Refinement in Real-World Scenarios. KDD 2025
  3. Zhongyuan Wang, Richong Zhang, Zhijie Nie. General Table Question Answering via Answer-Formula Joint Generation. Preprint

Others

  1. Peiyi Zhang, Richong Zhang, Zhijie Nie. Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning. ACL 2025 Findings
  2. Yani Huang, Richong Zhang, Zhijie Nie, Junfan Chen, Xuefeng Zhang. A Graph-based Verification Framework for Fact-Checking. Preprint
  3. Fanshuang Kong, Richong Zhang, Zhijie Nie, Ziqiao Wang. Rethink the Evaluation Protocol of Model Merging on Classification Task. Preprint

Honors

  • China Association for Science and Technology (CAST) Young Talent Support Program for Doctoral Students, 2025
  • Deutscher Akademischer Austauschdienst (DAAD) AInet Fellow for Natural Language Processing, 2025
  • China Scholarship Council (CSC) Scholarship, 2024
  • Huawei Scholarship, 2025
  • Aviation Industry Corporation of China (AVIC) Scholarship, 2024
  • Beihang University First Prize Scholarship, 2024
  • Beihang University Research Excellence Grant: Research on Embodied Intelligent Task Planning Methods for Natural Language Instructions, 2023