Bin Cui
Professor
Leads research on database systems and large-scale machine learning systems, including distributed training and data management for AI.
Bin Cui's lab at Peking works on efficient training & inference, distributed, cloud & edge systems and data management & big data. 187 papers since 2023, 118 at top venues, mostly ICDE and SIGMOD. 12 PhD students and 24 master's students. 64 alumni, most often to Tencent and Google. Applications close .
At a glance
- papers, 2023–2026
- 49/ year
- at T1 venues
- 63%
- PhD students
- 12
- MS students
- 24
- alumni listed
- 64
Papers by yearfrom the lab homepage, 2023–2026
- 38 papers2026 · T1 17 · collecting
- 55 papers2025 · T1 39
- 48 papers2024 · T1 35
- 46 papers2023 · T1 27
T1 venuesOtherVenues: ICDE, SIGMOD, ICLR, NeurIPS, VLDB
Research focuspaper titles that use each topic's words
- Efficient training & inference58 papers
- Data management & big data37 papers
- Distributed, cloud & edge systems16 papers
- database systems2 papers
- distributed training2 papers
Paper list
From the lab homepage.
202638 papers
- 38(9): 5692-5706BMTree: Designing, Learning, and Updating Piecewise Space-Filling Curves for Multi-Dimensional Data Indexing
- VLDB J. 35(5)Can large language models be a cardinality estimator? An empirical study
- 38(10): 6424-6438CausalDX: Diagnosing Long-Tail and Cascading Cloud Incidents With LLM-Guided Causal Reasoning
- ACL (T1)ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch
- KDD (2) : 5766-5777CoFEH: LLM-driven Feature Engineering Empowered by Collaborative Bayesian Hyperparameter Optimization
- ICML (T1)DARTS: Distribution-Aware Active Rollout Trajectory Shaping for Accelerating LLM Reinforcement Learning
- 41(1): 289-317Data Preparation for Large Language Models
- Findings of ACLData-Centric Perspectives on Agentic Retrieval-Augmented Generation: A Survey
- ICDE (T1)DistVec: Efficient Distributed Machine Learning in Parallel Database Systems
- ICML (T1)EchoAttention: Exploiting Token-Pair Redundancy and Frame-Block Similarity for Efficient Video Generation
- WWW : 6841-6852Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection
- ICML (T1)Efficient Multi-round LLM Inference over Disaggregated Serving
202555 papers
- ICDE (T1)A-Tune-Online: Efficient and QoS-aware Online Configuration Tuning for Dynamic Workloads
- 37(6): 3173-3192Acceleration Algorithms in GNNs: A Survey
- 37(4): 1508-1526Achieving Top-$K$K-fairness for Finding Global Top-$K$K Frequent Items
- ACL (T1)ADEPT-SQL: A High-performance Text-to-SQL Application for Real-World Enterprise-Level Databases
- 37(12): 6916-6933Answering Subset Query Over Multi-Attribute Data Streams Using Hyper-USS
- SIGCOMM (T1)ByteScale: Communication-Efficient Scaling of LLM Training with a 2048K Context Length on 16384 GPUs
- 43(3): 61:1-61:42CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models
- ICDE (T1)CaliEX: A Disk-based Large-Scale GNN Training System with Joint Design of Caching and Execution
- ACL (T1)CFBench: A Comprehensive Constraints-Following Benchmark for LLMs
- ICDE (T1)CuckooDuo: Extensible Dynamic Perfect Hashing for RDMA-based Remote Memory KV Store
- ICDE (T1)CuckooGraph: A Scalable and Space-Time Efficient Data Structure for Large-Scale Dynamic Graphs
- ICDE (T1)DataLab: A Unifed Platform for LLM-Powered Business Intelligence
202448 papers
- NeurIPS (T1)"VideoTetris: Towards Compositional Text-to-Video Generation
- IEEE Trans. Knowl. Data Eng. 36(11): 5544-5561A Unified Framework for Mining Batch and Periodic Batch in Data Streams
- ICDE (T1)Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation
- AAAI (T1)Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference
- VLDB (T1)An Efficient Transfer Learning Based Configuration Adviser for Database Tuning
- ICDE (T1)BIM: Improving Graph Neural Networks with Balanced Influence Maximization
- ICDE (T1)BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection
- NeurIPS (T1)Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
- IEEE Trans. Parallel Distributed Syst. 35(6): 777-794BurstBalancer: Do Less, Better Balance for Large-Scale Data Center Traffic
- SIGMOD (T1)CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models
- ICDE (T1)CodingSketch: A Hierarchical Sketch with Efficient Encoding and Recursive Decoding
- ICLR (T1)Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing
202346 papers
- IEEE Trans. Knowl. Data Eng. 35(5): 4411-4424A Sketch Framework for Approximate Data Stream Processing in Sliding Windows
- Sci. China Inf. SciA Survey on Performance Optimization for Database Systems
- Proc. ACM ManagA Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning
- VLDB (T1)Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent
- ACM Trans. Inf. Syst. 41(4): 101:1-101:38AutoML for Deep Recommender Systems: A Survey
- IEEE Trans. Knowl. Data Eng. 35(11): 11126-11140BurstSketch: Finding Bursts in Data Streams
- AAAI (T1)CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention
- SIGMOD (T1)DBPA: A Benchmark for Transactional Database Performance Anomalies
- SIGMOD (T1)Double-Anonymous Sketch: Achieving Fairness for Finding Global Top-K Frequent Items
- IEEE Trans. Knowl. Data Eng. 35(3): 2486-2499DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion
- ICDE (T1)Finding Simplex Items in Data Streams
- SIGMOD (T1)FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement
Where alumni went64 listed, 60% to industry
Industry 21Academia 14
Most often to
- Tencent
- ByteDance
Also to
- Peking University
- Carnegie Mellon University
- CUHK
Apply to PekingFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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