Jie Tang
Professor
Works on social network analysis, data mining, knowledge graphs, and the GLM family of large language models, and leads the AMiner academic mining platform.
Jie Tang's lab at Tsinghua works on large language models, knowledge, QA & retrieval and graph mining & networks. 52 papers since 2023, 1 at top venues, mostly Findings of ACL and Briefings in Bioinformatics. 12 PhD students and 7 master's students. 36 alumni. Applications close .
At a glance
- papers, 2023–2026
- 14/ year
- at T1 venues
- 2%
- PhD students
- 12
- MS students
- 7
- alumni listed
- 36
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 1
- 30 papers2024 · T1 0
- 21 papers2023 · T1 0
T1 venuesOtherVenues: Findings of ACL, Briefings in Bioinformatics, IJCV
Research focuspaper titles that use each topic's words
- Large language models22 papers
- Graph mining & networks8 papers
- Knowledge, QA & retrieval5 papers
- academic2 papers
- mining1 paper
Paper list
From the lab homepage.
20251 paper
- IJCV (T1)CogCartoon: Towards Practical Story Visualization
202430 papers
- Proceedings of the International Conference on Learning Representations (ICLR'24).AgentBench: Evaluating LLMs as Agents
- Findings of ACLAgentTuning: Enabling Generalized Agent Abilities for LLMs
- Proceedings of the Annual Meeting of the Association of Computational Linguistics (ACL'24).AlignBench: Benchmarking Chinese Alignment of Large Language Models
- Proceedings of the Annual Meeting of the Association of Computational Linguistics (ACL SDT'24).AutoRE: Document-Level Relation Extraction with Large Language Models
- Proceedings of the Thirty ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'24).AutoWebGLM: A Large Language Model-based Web Navigating Agent
- Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (DB Track) (NeurIPS'24).Benchmarking Complex Instruction-Following with Multiple Constraints Composition
- Proceedings of the Annual Meeting of the Association of Computational Linguistics (ACL'24).Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
- Proceedings of the Web Conference (WWW'24).BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting
- Proceedings of the Conference on Empirical Methods in Natural Language Processing (Industry Track) (EMNLP'24).CharacterGLM: Customizing Social Characters with Large Language Models
- Proceedings of the International Conference on Computer Vision and Pattern Recognition (CVPR'24).CogAgent: A Visual Language Model for GUI Agents
- Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS'24).CogVLM: Visual Expert for Pretrained Language Models
- Proceedings of the Annual Meeting of the Association of Computational Linguistics (ACL'24).CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
202321 papers
- Proceedings of the Web Conference (WWW'23) (accepted).ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation
- Proceedings of the Twenty-Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'23).BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs
- Proceedings of the Twenty-Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'23).CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X
- Proceedings of the Web Conference (WWW'23).CogDL: A Comprehensive Library for Graph Deep Learning
- Proceedings of the International Conference on Learning Representations (ICLR'23).CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
- Proceedings of the Thirty-Two Conference on Information and Knowledge Management (CIKM'23).Detecting Social Bot on the Fly using Contrastive Learning
- Proceedings of the Annual Meeting of the Association of Computational Linguistics (ACL'23).GKD: An General Knowledge Distillation Framework for Large-scale Pre-trained Language Model
- Proceedings of the International Conference on Learning Representations (ICLR'23).GLM-130B: An Open Bilingual Pre-trained Model
- Proceedings of the Twenty-Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'23).GLM-Dialog: Noise-tolerant Pre-Training for Knowledge-grounded Dialogue Generation
- Proceedings of the Web Conference (WWW'23) (accepted).GraphMAE2: A Decoding-enhanced Masked Self-supervised Graph Learner
- Proceedings of the Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS'23).ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
- Briefings in BioinformaticsImproved the heterodimer protein complex prediction with protein language models Get access Arrow
Where alumni went36 listed, 0% to industry
Industry 0Academia 4
Also to
- Qinghai University
- Renmin University
- Tennessee Technological University
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
- GBImperial
Francesca Toni
- Trustworthy & safe ML
- USCMU
Yiming Yang
- Accelerators, chips & architecture
- USCMU
Louis-Philippe Morency
- Signal processing & information theory
- USNYU
Julia Stoyanovich
- Trustworthy & safe ML
- USGeorgia Tech
Ling Liu
- Trustworthy & safe ML
- USStanford
Emma Brunskill
- Reinforcement learning
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The lab site and the paper record do not agree.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
Tsinghuacloses