PPaperPicks

Hongzhi Wang

Harbin Institute of Technology, China

45 papers at tracked venues · 45 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. An Amortized O(1) Lower Bound for Dynamic Time Warping in Motif Discovery (Extended Abstract)
  2. FedDict: Towards Practical Federated Dictionary-Based Time Series Classification (Extended Abstract)
  3. KDSelector: A Framework of Knowledge-Enhanced and Data-Efficient Selector Learning for Anomaly Detection Model Selection in Time Series
  4. Procore: Robust Core-Set Selection Via Pareto Multi-Dimensional Optimization From Noisy Data
  5. Scaling Subsequence Similarity Join Based on Dynamic Time Warping
  6. The Case For Language Model Approximated LIKE Predicate
  7. Trireme: A Tripartite Regulation Scheme for Diffusion Models
  8. $t$DCDiscover: Mining Threshold Denial Constraints from Time Series Data
  9. Auto-TSF: Towards Proxy-Model-Based Meta-Learning for Automatic Time Series Forecasting Algorithm Selection
  10. CBAClean:A Comprehensive System for Recommending Data Cleaning Solutions Through Cost-Benefit Analysis in Data Quality Management
  11. Cleaning both Data Errors and Inaccurate Constraints on Numerical Sequential Data
  12. DemandClean: A Multi-Objective Learning Framework for Balancing Model Tolerance to Data Authenticity and Diversity
  13. Description-Similarity Rules: Towards Flexible Feature Engineering for Entity Matching
  14. EAST: An Interpretable Knob Estimation System for Cloud Database
  15. FSMDTW: A Fast Index-free Subsequence Matching Algorithm for Dynamic Time Warping
  16. Free-Merging: Fourier Transform for Efficient Model Merging
  17. Impute4TSC: Evaluating Missing Value Imputation Methods for Time Series Classification
  18. KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection
  19. Meta-Learning Based CTR Algorithm Selection and Hyperparameter Optimization
  20. TARImpute: Task-Aware Auto-Recommender System for Missing Value Imputation Algorithms with Clustering Case Studies
  21. Tailoring the Shapley Value for In-Context Example Selection Towards Data Wrangling
  22. TempSched: A Temperature-Aware Storage Scheduler for Time Series Across Cloud-Edge-Device
  23. UniClean: A Multi-Signal Fusion Pipeline for Optimizing Data Cleaning Workflow
  24. UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow
  25. An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut Problem
  26. AutoMC: Automated Model Compression Based on Domain Knowledge and Progressive Search
  27. CUBE: Causal Intervention-based Counterfactual Explanation for Prediction Models (Extended Abstract)
  28. Clean4TSDB: A Data Cleaning Tool for Time Series Databases
  29. DAFDiscover: Robust Mining Algorithm for Dynamic Approximate Functional Dependencies on Dirty Data
  30. DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning
  31. DIDS: Double Indices and Double Summarizations for Fast Similarity Search
  32. Duet: Efficient and Scalable Hybrid Neural Relation Understanding
  33. Efficient Relaxed Functional Dependency Discovery with Minimal Set Cover
  34. Efficient Semi-External SCC Computation (Extended Abstract)
  35. Explainable Database Management System Configuration Tuning through Counterfactuals
  36. IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
  37. MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data
  38. One Seed, Two Birds: A Unified Learned Structure for Exact and Approximate Counting
  39. QCFE: An Efficient Feature Engineering for Query Cost Estimation
  40. RHKH: Relational Hypergraph Neural Network for Link Prediction on N-ary Knowledge Hypergraph
  41. ShrinkHPO: Towards Explainable Parallel Hyperparameter Optimization
  42. TSDDISCOVER: Discovering Data Dependency for Time Series Data
  43. Time Series Data Cleaning Under Expressive Constraints on Both Rows and Columns
  44. TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis
  45. UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning