Junfeng Zhao
Research Professor
Researches big-data analysis, large language models, knowledge engineering, data governance and urban computing.
Junfeng Zhao's lab at Peking works on time series, anomaly & spatio-temporal data, large language models and knowledge, QA & retrieval. 31 papers since 2023, 26 at top venues, mostly ACL and AAAI. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 84%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 7 papers2026 · T1 7 · collecting
- 10 papers2025 · T1 9
- 7 papers2024 · T1 5
- 7 papers2023 · T1 5
T1 venuesOtherVenues: ACL, AAAI, ICLR, NeurIPS, ICML
Research focuspaper titles that use each topic's words
- Large language models12 papers
- Knowledge, QA & retrieval8 papers
- Time series, anomaly & spatio-temporal data4 papers
- data governance0 papers
- urban computing0 papers
Paper list
From DBLP.
20267 papers
- ICLR (T1)ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning (opens in a new tab)
- ICDE (T1)Beyond Imputation: A Semantic Unification Framework for Data and its Missingness in Multimodal Healthcare Analytics (opens in a new tab)
- ACL (T1)DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search (opens in a new tab)
- ICLR (T1)GPS: Graph-guided Proactive Information Seeking in Large Language Models (opens in a new tab)
- ICLR (T1)LearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models (opens in a new tab)
- ACL (T1)ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs (opens in a new tab)
- AAAI (T1)Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance (opens in a new tab)
202510 papers
- EMNLP (T1)3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection (opens in a new tab)
- Neural Comput. Appl.A three-tiered semi supervised MTL mechanism and its application in dating apps (opens in a new tab)
- AAAI (T1)DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations (opens in a new tab)
- ICLR (T1)DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing (opens in a new tab)
- ICML (T1)Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation (opens in a new tab)
- ACL (T1)HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses (opens in a new tab)
- AAAI (T1)KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models (opens in a new tab)
- NeurIPS (T1)MODEL SHAPLEY: Find Your Ideal Parameter Player via One Gradient Backpropagation (opens in a new tab)
- ACL (T1)Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning (opens in a new tab)
- ACL (T1)TC-RAG: Turing-Complete RAG's Case study on Medical LLM Systems (opens in a new tab)
20247 papers
- ICDHHealthEdge: A Proactive DRL-Driven Service Reconfiguration Mechanism for Pre-Hospital Emergency Response in Edge Networks (opens in a new tab)
- ACL (T1)ITAKE: Interactive Unstructured Text Annotation and Knowledge Extraction System with LLMs and ModelOps (opens in a new tab)
- ICML (T1)Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation (opens in a new tab)
- KDD (T1)ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup (opens in a new tab)
- NeurIPS (T1)RAGraph: A General Retrieval-Augmented Graph Learning Framework (opens in a new tab)
- ICDHRNN enhanced Compartmental Model for Infectious Disease Prediction (opens in a new tab)
- NeurIPS (T1)SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction (opens in a new tab)
20237 papers
- Int. J. Pattern Recognit. Artif. Intell.An Adaptive Fusion Risk-Zone Detection Network and its Application (opens in a new tab)
- Findings of ACLEnhancing Neural Topic Model with Multi-Level Supervisions from Seed Words (opens in a new tab)
- NeurIPS (T1)Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications (opens in a new tab)
- AAAI (T1)KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations (opens in a new tab)
- TKDE (T1)Patient Health Representation Learning via Correlational Sparse Prior of Medical Features (opens in a new tab)
- WWW (T1)SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data (opens in a new tab)
- IJCAI (T1)VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to PekingFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- CHETH Zurich
Richard H. R. Hahnloser
- Recommendation, search & web
- CNTsinghua
Ji Wu
- Data management & big data
- CNTsinghua
Yiqun Liu
- Knowledge, QA & retrieval
- CNZhejiang
Jian Shao
- Data management & big data
- CNSJTU
Weiwen Liu
- Recommendation, search & web
- USNYU
Julia Stoyanovich
- Trustworthy & safe ML
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
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
Pekingcloses