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09/20/2023
Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning
Catastrophic forgetting remains a critical challenge in the field of con...
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08/24/2023
WavMark: Watermarking for Audio Generation
Recent breakthroughs in zero-shot voice synthesis have enabled imitating...
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07/03/2023
REAL: A Representative Error-Driven Approach for Active Learning
Given a limited labeling budget, active learning (AL) aims to sample the...
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06/15/2023
Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation
Zero-shot NL2SQL is crucial in achieving natural language to SQL that is...
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04/24/2023
An Efficient Built-in Temporal Support in MVCC-based Graph Databases
Real-world graphs are often dynamic and evolve over time. To trace the e...
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04/07/2023
ChatPipe: Orchestrating Data Preparation Program by Optimizing Human-ChatGPT Interactions
Orchestrating a high-quality data preparation program is essential for s...
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09/17/2022
Human Pose Driven Object Effects Recommendation
In this paper, we research the new topic of object effects recommendatio...
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09/14/2021
Coo: Rethink Data Anomalies In Databases
Transaction processing technology has three important contents: data ano...
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08/29/2021
Attentive Rotation Invariant Convolution for Point Cloud-based Large Scale Place Recognition
Autonomous Driving and Simultaneous Localization and Mapping(SLAM) are b...
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06/13/2021
G-TADOC: Enabling Efficient GPU-Based Text Analytics without Decompression
Text analytics directly on compression (TADOC) has proven to be a promis...
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05/01/2021
SVT-Net: A Super Light-Weight Network for Large Scale Place Recognition using Sparse Voxel Transformers
Point cloud-based large scale place recognition is fundamental for many ...
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12/04/2020
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation
Can AI help automate human-easy but computer-hard data preparation tasks...
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09/20/2020
TADOC: Text Analytics Directly on Compression
This article provides a comprehensive description of Text Analytics Dire...
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08/28/2020
Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration
The proliferation of big data has brought an urgent demand for privacy-p...
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12/24/2019
Deep Manifold Embedding for Hyperspectral Image Classification
Deep learning methods have played a more and more important role in hype...
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11/21/2019
Voice-Face Cross-modal Matching and Retrieval: A Benchmark
Cross-modal associations between voice and face from a person can be lea...
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09/12/2019
UER: An Open-Source Toolkit for Pre-training Models
Existing works, including ELMO and BERT, have revealed the importance of...
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05/07/2019
PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs
SimRank is a classic measure of the similarities of nodes in a graph. G...
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05/12/2018
Analogical Reasoning on Chinese Morphological and Semantic Relations
Analogical reasoning is effective in capturing linguistic regularities. ...
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12/27/2015