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06/13/2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
Real-world graphs generally have only one kind of tendency in their conn...
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05/12/2023
Revisiting Temporal Blocking Stencil Optimizations
Iterative stencils are used widely across the spectrum of High Performan...
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04/17/2023
InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction
Large language models have unlocked strong multi-task capabilities from ...
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08/18/2022
See Finer, See More: Implicit Modality Alignment for Text-based Person Retrieval
Text-based person retrieval aims to find the query person based on a tex...
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07/26/2022
SPAIC: A Spike-based Artificial Intelligence Computing Framework
Neuromorphic computing is an emerging research field that aims to develo...
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05/26/2022
Prompt-based Learning for Unpaired Image Captioning
Unpaired Image Captioning (UIC) has been developed to learn image descri...
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05/19/2022
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search
Existing trackers usually select a location or proposal with the maximum...
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04/05/2022
Persistent Kernels for Iterative Memory-bound GPU Applications
Iterative memory-bound solvers commonly occur in HPC codes. Typical GPU ...
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02/28/2022
VaultDB: A Real-World Pilot of Secure Multi-Party Computation within a Clinical Research Network
Electronic health records represent a rich and growing source of clinica...
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02/11/2022
Tiny Object Tracking: A Large-scale Dataset and A Baseline
Tiny objects, frequently appearing in practical applications, have weak ...
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09/02/2020
Heterogeneous Graph Neural Network for Recommendation
The prosperous development of e-commerce has spawned diverse recommendat...
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07/07/2020
SaADB: A Self-attention Guided ADB Network for Person Re-identification
Recently, Batch DropBlock network (BDB) has demonstrated its effectivene...
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02/17/2020
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes
In a recent series of papers it has been established that variants of Gr...
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11/21/2019
EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
Deep neural networks have been successfully applied to many real-world a...
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09/29/2019
