Scholar
Zhijie Nie
Google Scholar ID: eIrizC8AAAAJ
Ph.D. Candidate in Computer Science, Beihang University
Citations & Impact
Citations
141
H-index
6
i10-index
6
Publications
17
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - ICLR 2023: On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations
- - ACL 2025 (SAC Highlight🌟): A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens
- - ACL 2024: Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient
- - AAAI 2024: Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model
- - Preprint (Survey): When Text Embedding Meets Large Language Model: A Comprehensive Survey
- - KDD 2024: Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning
- - AAAI 2025: Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding
- - ACM MM 2024: Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives
- - AAAI 2024: Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval
- - AAAI 2024: Code-Style In-Context Learning for Knowledge-Based Question Answering
- - KDD 2025: Tool-Assisted Agent on SQL Inspection and Refinement in Real-World Scenarios
- - Preprint: General Table Question Answering via Answer-Formula Joint Generation
- - ACL 2025 Findings: Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
- - Preprint: A Graph-based Verification Framework for Fact-Checking
- - Preprint: Rethink the Evaluation Protocol of Model Merging on Classification Task
- Awards:
- - 2025.06 DAAD AInet Fellow for Natural Language Processing
- - 2025.06 CAST Young Talent Support Program for Doctoral Students
- - 2025.04 Huawei Scholarship
- - 2024.12 AVIC Scholarship
- - 2024.09 Beihang University First Prize Scholarship
- - 2024.07 CSC Scholarship
- - 2023.12 Beihang University Research Excellence Grant: Research on Embodied Intelligent Task Planning Methods for Natural Language Instructions
Research Experience
- Work Experience: 2024.09-2025.08 Visiting Mohamed Bin Zayed University of Artificial Intelligence, guided by Prof. Qiang Sun; 2025 Interning at Qwen Lab in Beijing
Education
- Degree: Ph.D. Candidate; University: Beihang University; Advisors: Prof. Richong Zhang, Prof. Yongyi Mao (uOttawa); Time: 2021 - present; Major: Computer Science
Background
- Research Interests: Natural Language Processing, Information Retrieval; Field: Computer Science; Bio: Fourth-year Ph.D. candidate in Computer Science at Beihang University, supervised by Prof. Richong Zhang and Prof. Yongyi Mao (uOttawa). Visited Mohamed Bin Zayed University of Artificial Intelligence from 2024.09 to 2025.08, under the guidance of Prof. Qiang Sun (Uoft). Currently interning at Qwen Lab in Beijing.
