Zaiqing Nie
Principal Investigator/GDS Professor
Works on large language models, AI agents, and AI for life science, and directs the Big Data Intelligence Lab.
Zaiqing Nie's lab at Tsinghua works on large language models, reasoning & agents and data management & big data. 11 papers since 2023, 7 at top venues, mostly ICML and NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 64%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 8 papers2024 · T1 5
- 3 papers2023 · T1 2
T1 venuesOtherVenues: ICML, NeurIPS, ACL, KDD
Research focuspaper titles that use each topic's words
- Large language models5 papers
- Data management & big data1 paper
- Reasoning & agents0 papers
- data intelligence0 papers
- life0 papers
Paper list
From the lab homepage.
20248 papers
- —Health Data Science
- ICML (T1)Junwei Yang, Kangjie Zheng, Siyu Long, Zaiqing Nie, Ming Zhang, Xinyu Dai, Wei-Ying Ma, Hao Zhou: Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective
- ICML (T1)Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai, Ming Zhang, Zaiqing Nie, Wei-Ying Ma, Hao Zhou: ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling
- ICML (T1)Suyuan Zhao, Jiahuan Zhang, Yushuai Wu, Yizhen Luo, Zaiqing Nie: LangCell: Language-Cell Pre-training for Cell Identity Understanding
- (Toward Unified AI Drug Discovery with Multimodal Knowledge
- KDD (T1)Yizhen Luo, Kai Yang, Massimo Hong, Xing Yi Liu, Zikun Nie, Hao Zhou, Zaiqing Nie: Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge
- NeurIPS (T1)Yizhen Luo, Zikun Nie, Massimo Hong, Suyuan Zhao, Hao Zhou, Zaiqing Nie: MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering
- —Yizhen Luo; Jiahuan Zhang; Siqi Fan; Kai Yang; Massimo Hong; Yushuai Wu, Mu Qiao, Zaiqing Nie: BioMedGPT: An Open Multimodal Large Language Model for BioMedicine
20233 papers
- NeurIPS (T1)Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection
- ACL (T1)Hard Sample Aware Prompt-Tuning
- CVPR : 5486-5495V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
Similar labsnearest by research summary
- USCMU
Jamie Callan
- Knowledge, QA & retrieval
- DETUM
Chunyang Chen
- Large language models
- GBEdinburgh
Jeff Pan
- Knowledge, QA & retrieval
- CNSJTU
Zhouhan Lin
- Large language models
- USUIUC
Kevin Chen-Chuan Chang
- Knowledge, QA & retrieval
- USUIUC
ChengXiang Zhai
- Knowledge, QA & retrieval
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
Tsinghuacloses