Wentao Zhang
Assistant Professor
Researches data-centric machine learning, graph machine learning and ML systems.
Wentao Zhang's lab at Peking works on graph learning. 184 papers since 2023, 115 at top venues, mostly NeurIPS and ICDE. Applications close .
At a glance
- papers, 2023–2026
- 48/ year
- at T1 venues
- 63%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 89 papers2026 · T1 50 · collecting
- 57 papers2025 · T1 34
- 29 papers2024 · T1 24
- 9 papers2023 · T1 7
T1 venuesOtherVenues: NeurIPS, ICDE, ICLR, Findings of ACL, ACL
Research focuspaper titles that use each topic's words
- Graph learning52 papers
- data-centric3 papers
- researches data-centric0 papers
- data-centric machine0 papers
- graph machine0 papers
Paper list
From the lab homepage.
202689 papers
- FCSA comprehensive survey on imbalanced data learning
- ICML (T1)AD-MIR: Bridging the Gap from Perception to Persuasion in Advertising Video Understanding via Structured Reasoning
- NeurIPS (T1)AgenticOCR: Parsing Only What You Need for Efficient Retrieval-Augmented Generation
- Findings of ACLAgenticRAGTracer: A Hop-Aware Benchmark for Diagnosing Multi-Step Retrieval Reasoning in Agentic RAG
- TPAMI (T1)Aligning Condensed Graph via Hashing: A New Insight for Federated Graph Learning
- CVPR (T1)Are We Ready for RL in Text-to-3D Generation? A Progressive Investigation
- ACM MMCanvas-of-Thought: Grounding Mathematical Reasoning via Mutable Structured States
- Findings of EMNLPCapGeo-Bench: Decoupling Visual Perception from Reasoning and Evaluating Geometric Understanding
- AAAI (Oral), CCF-ACausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos
- ACL (T1)ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch
- ACL (T1)CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code Generation
- ICML (T1)CoF-T2I: Video Models as Pure Visual Reasoners for Text-to-Image Generation
202557 papers
- TKDE (T1)Acceleration Algorithms in GNNs: A Survey
- IJCAI (T1)AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting
- ICCV (T1)Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks
- CVPR (T1)Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge
- NeurIPS (T1)BRACE: A Benchmark for Robust Audio Caption Quality Evaluation
- EMNLP main, CCF-BCan LLMs be Good Graph Judge for Knowledge Graph Construction?
- ACL Main, CCF-ACFBench: A Comprehensive Constraints-Following Benchmark for LLMs
- SIGKDD , CCF-ACompressGNN: Accelerating Graph Neural Network Training via Hierarchical Compression
- SIGKDD , CCF-AContrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning
- ICDE (T1)DataSculpt: A Holistic Data Management Framework for Long-Context LLMs Training
- ACM MMEditWorld: Simulating World Dynamics for Instruction-Following Image Editing
- ACL Main, CCF-AEfficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration
202429 papers
- ICDE (T1)Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation
- ICDE (T1)AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity
- ICDE (T1)BIM: Improving Graph Neural Networks with Balanced Influence Maximization
- NeurIPS (T1)Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
- CSUR , CCF-ADiffusion Models: A Comprehensive Survey of Methods
- ACM Computing Surveys , CCF-ADistributed Graph Neural Network Training: A Survey
- NeurIPS (T1)Distribution-Aware Data Expansion with Diffusion Models
- NeurIPS (T1)Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters
- VLDB (T1)FedGTA: Topology-aware Averaging for Federated Graph Learning
- ICDE (T1)Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning
- ICDE (T1)Graph Condensation for Inductive Node Representation Learning
- SIGKDD , CCF-AGraph Condensation for Open-World Graph Learning
20239 papers
- ICDE (T1)Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs
- APWeb-WAIM2023, CCF-C, 🏆 Best Paper Runner Up AwardGraph-Enforced Neural Network for Attributed Graph Clustering
- NeurIPS (T1)Improving Diffusion-Based Image Synthesis with Context Prediction
- TKDE (T1)Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization
- AAAI (T1)ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies
- SIGKDD , CCF-ARover: An online Spark SQL tuning service via generalized transfer learning
- SIGMOD (T1)Scapin : Scalable Graph Perturbation by Augmented Influence Maximization
- CIKM (T1)Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks
- VLDB (T1)Towards General and Efficient Online Tuning for Spark
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.
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