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09/19/2023
Fast and reconfigurable sort-in-memory system enabled by memristors
Sorting is fundamental and ubiquitous in modern computing systems. Hardw...
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08/23/2023
IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning
With the increasing size of pre-trained language models (PLMs), fine-tun...
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07/04/2023
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care
The recent advances in NLP, have led to a new trend of applying LLMs to ...
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05/31/2023
Research And Implementation Of Drug Target Interaction Confidence Measurement Method Based On Causal Intervention
The identification and discovery of drug-target Interaction (DTI) is an ...
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04/20/2023
Learning Bottleneck Concepts in Image Classification
Interpreting and explaining the behavior of deep neural networks is crit...
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03/06/2023
DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction
Attaining the equilibrium state of a catalyst-adsorbate system is key to...
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01/28/2023
SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning
Offline safe RL is of great practical relevance for deploying agents in ...
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09/15/2022
Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction
Graph neural networks (GNNs) have drawn more and more attention from mat...
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03/24/2022
LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction
Precise congestion prediction from a placement solution plays a crucial ...
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12/03/2021
Panoptic-based Object Style-Align for Image-to-Image Translation
Despite remarkable recent progress in image translation, the complex sce...
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05/01/2021
A systematic mapping study on security countermeasures of in-vehicle communication systems
The innovations of vehicle connectivity have been increasing dramaticall...
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04/07/2021
The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods
For an autonomous robotic system, monitoring surgeon actions and assisti...
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11/25/2020
Match Them Up: Visually Explainable Few-shot Image Classification
Few-shot learning (FSL) approaches are usually based on an assumption th...
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11/07/2020
Grading the Severity of Arteriolosclerosis from Retinal Arterio-venous Crossing Patterns
The status of retinal arteriovenous crossing is of great significance fo...
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10/19/2020
Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation
Semantic video segmentation is a key challenge for various applications....
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09/14/2020
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition
Explainable artificial intelligence is gaining attention. However, most ...
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02/05/2018