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03/07/2023
How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding
While the successes of transformers across many domains are indisputable...
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12/13/2022
CAT: Learning to Collaborate Channel and Spatial Attention from Multi-Information Fusion
Channel and spatial attention mechanism has proven to provide an evident...
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11/22/2022
Efficient Sampling Algorithms for Approximate Motif Counting in Temporal Graph Streams
A great variety of complex systems, from user interactions in communicat...
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11/02/2022
Balancing Utility and Fairness in Submodular Maximization (Technical Report)
Submodular function maximization is central in numerous data science app...
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10/21/2022
EDUKG: a Heterogeneous Sustainable K-12 Educational Knowledge Graph
Web and artificial intelligence technologies, especially semantic web an...
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08/12/2022
SFF-DA: Sptialtemporal Feature Fusion for Detecting Anxiety Nonintrusively
Early detection of anxiety disorders is essential to reduce the sufferin...
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06/09/2022
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
PointNet++ is one of the most influential neural architectures for point...
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03/29/2022
Contrasting the landscape of contrastive and non-contrastive learning
A lot of recent advances in unsupervised feature learning are based on d...
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02/09/2022
Improving greedy core-set configurations for active learning with uncertainty-scaled distances
We scale perceived distances of the core-set algorithm by a factor of un...
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07/26/2021
ThunderRW: An In-Memory Graph Random Walk Engine (Complete Version)
As random walk is a powerful tool in many graph processing, mining and l...
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06/24/2021
Privacy Threats Analysis to Secure Federated Learning
Federated learning is emerging as a machine learning technique that trai...
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06/03/2021
The Limitations of Limited Context for Constituency Parsing
Incorporating syntax into neural approaches in NLP has a multitude of pr...
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03/27/2021
Cache-Efficient Fork-Processing Patterns on Large Graphs
As large graph processing emerges, we observe a costly fork-processing p...
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01/23/2021
DBL: Efficient Reachability Queries on Dynamic Graphs (Complete Version)
Reachability query is a fundamental problem on graphs, which has been ex...
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07/28/2020
Efficient Sampling Algorithms for Approximate Temporal Motif Counting (Extended Version)
A great variety of complex systems ranging from user interactions in com...
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07/19/2020
GRMR: Generalized Regret-Minimizing Representatives
Extracting a small subset of representative tuples from a large database...
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05/29/2020
A Fully Dynamic Algorithm for k-Regret Minimizing Sets
Selecting a small set of representatives from a large database is import...
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12/16/2019
Lauca: Generating Application-Oriented Synthetic Workloads
The synthetic workload is essential and critical to the performance eval...
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09/04/2019
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity
Text-rich heterogeneous information networks (text-rich HINs) are ubiqui...
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06/24/2019
Variations on the Chebyshev-Lagrange Activation Function
We seek to improve the data efficiency of neural networks and present no...
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05/09/2019
Coresets for Minimum Enclosing Balls over Sliding Windows
Coresets are important tools to generate concise summaries of massive da...
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01/29/2019
Semantic and Influence aware k-Representative Queries over Social Streams
Massive volumes of data continuously generated on social platforms have ...
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01/23/2019
Context-Sensitive Malicious Spelling Error Correction
Misspelled words of the malicious kind work by changing specific keyword...
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11/20/2018
ChainGAN: A sequential approach to GANs
We propose a new architecture and training methodology for generative ad...
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11/18/2018
DeepConsensus: using the consensus of features from multiple layers to attain robust image classification
We consider a classifier whose test set is exposed to various perturbati...
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02/06/2018