| A Unified Transferable Model for ML-Enhanced DBMS | 0 | 0.34 | 2022 |
| Sampling-based Estimation of the Number of Distinct Values in Distributed Environment | 0 | 0.34 | 2022 |
| GNNLab: a factored system for sample-based GNN training over GPUs | 0 | 0.34 | 2022 |
| Federated Matrix Factorization with Privacy Guarantee. | 0 | 0.34 | 2022 |
| Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing. | 0 | 0.34 | 2022 |
| FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning | 0 | 0.34 | 2022 |
| Banyan: A Scoped Dataflow Engine for Graph Query Service. | 0 | 0.34 | 2022 |
| One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees | 0 | 0.34 | 2022 |
| A Practical Introduction to Federated Learning | 0 | 0.34 | 2022 |
| OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. | 0 | 0.34 | 2022 |
| Principled Knowledge Extrapolation with GANs. | 0 | 0.34 | 2022 |
| Device-cloud Collaborative Recommendation via Meta Controller | 0 | 0.34 | 2022 |
| Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing. | 0 | 0.34 | 2022 |
| Learned Query Optimizer: At the Forefront of AI-Driven Databases | 0 | 0.34 | 2022 |
| In-N-Out Generative Learning for Dense Unsupervised Video Segmentation | 0 | 0.34 | 2022 |
| Strengthening Order Preserving Encryption with Differential Privacy | 0 | 0.34 | 2022 |
| Banyan: A Scoped Dataflow Engine for Graph Query Service. | 0 | 0.34 | 2022 |
| Uncovering Causal Effects of Online Short Videos on Consumer Behaviors | 0 | 0.34 | 2022 |
| VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. | 0 | 0.34 | 2021 |
| Gaia: A System For Interactive Analysis On Distributed Graphs Using A High-Level Language | 0 | 0.34 | 2021 |
| Large-Scale Fake Click Detection For E-Commerce Recommendation Systems | 0 | 0.34 | 2021 |
| Efficient And Scalable Structure Learning For Bayesian Networks: Algorithms And Applications | 0 | 0.34 | 2021 |
| FLAT: fast, lightweight and accurate method for cardinality estimation | 2 | 0.37 | 2021 |
| M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining | 0 | 0.34 | 2021 |
| Learning to be a Statistician: Learned Estimator for Number of Distinct Values | 0 | 0.34 | 2021 |
| UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis. | 0 | 0.34 | 2021 |
| FlashP: an analytical pipeline for real-time forecasting of time-series relational data | 0 | 0.34 | 2021 |
| Dynamic Memory Based Attention Network For Sequential Recommendation | 0 | 0.34 | 2021 |
| GraphScope: A One-Stop Large Graph Processing System. | 0 | 0.34 | 2021 |
| Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation | 1 | 0.38 | 2021 |
| Automating Incremental Graph Processing with Flexible Memoization. | 0 | 0.34 | 2021 |
| Enhancing E-Commerce Recommender System Adaptability With Online Deep Controllable Learning-To-Rank | 0 | 0.34 | 2021 |
| Low-Rank Subspaces in GANs. | 0 | 0.34 | 2021 |
| Device-Cloud Collaborative Learning for Recommendation | 1 | 0.35 | 2021 |
| Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. | 0 | 0.34 | 2021 |
| Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters. | 0 | 0.34 | 2021 |
| FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data. | 0 | 0.34 | 2021 |
| FlexGraph: a flexible and efficient distributed framework for GNN training | 4 | 0.48 | 2021 |
| Automating incremental graph processing with flexible memoization | 1 | 0.34 | 2021 |
| Atnn: Adversarial Two-Tower Neural Network For New Item'S Popularity Prediction In E-Commerce | 0 | 0.34 | 2021 |
| Learning to Rehearse in Long Sequence Memorization | 0 | 0.34 | 2021 |
| Sketch and Refine - Towards Faithful and Informative Table-to-Text Generation. | 0 | 0.34 | 2021 |
| Incrementalizing Graph Algorithms | 0 | 0.34 | 2021 |
| FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation. | 0 | 0.34 | 2021 |
| Tempura: A General Cost-Based Optimizer Framework for Incremental Data Processing. | 0 | 0.34 | 2021 |
| Understanding Negative Sampling in Graph Representation Learning | 6 | 0.46 | 2020 |
| Collecting and Analyzing Data Jointly from Multiple Services under Local Differential Privacy. | 0 | 0.34 | 2020 |
| Application Driven Graph Partitioning | 0 | 0.34 | 2020 |
| Maximum Biclique Search at Billion Scale. | 0 | 0.34 | 2020 |
| Hop-constrained s-t Simple Path Enumeration: Towards Bridging Theory and Practice. | 0 | 0.34 | 2020 |
