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08/31/2023
Curriculum Proximal Policy Optimization with Stage-Decaying Clipping for Self-Driving at Unsignalized Intersections
Unsignalized intersections are typically considered as one of the most r...
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08/30/2023
Learning the References of Online Model Predictive Control for Urban Self-Driving
In this work, we propose a novel learning-based online model predictive ...
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08/27/2023
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
Augmenting large language models (LLMs) with external tools has emerged ...
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08/17/2023
PMET: Precise Model Editing in a Transformer
Model editing techniques modify a minor proportion of knowledge in Large...
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08/10/2023
Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge
Quantitative organ assessment is an essential step in automated abdomina...
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07/19/2023
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
The research field of Information Retrieval (IR) has evolved significant...
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06/05/2023
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications
Model pre-training on large text corpora has been demonstrated effective...
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05/24/2023
SAMScore: A Semantic Structural Similarity Metric for Image Translation Evaluation
Image translation has wide applications, such as style transfer and moda...
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05/18/2023
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems
Learning reinforcement learning (RL)-based recommenders from historical ...
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05/04/2023
Point Transformer For Coronary Artery Labeling
Coronary CT angiography (CCTA) scans are widely used for diagnosis of co...
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04/24/2023
Segment Anything in Medical Images
Segment anything model (SAM) has revolutionized natural image segmentati...
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04/20/2023
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
How can we learn effective node representations on textual graphs? Graph...
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04/03/2023
Integrated Decision-Making and Control for Urban Autonomous Driving with Traffic Rules Compliance
In urban driving scenarios, autonomous vehicles are expected to conform ...
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03/09/2023
Dynamic Multi-View Fusion Mechanism For Chinese Relation Extraction
Recently, many studies incorporate external knowledge into character-lev...
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03/07/2023
Chance-Aware Lane Change with High-Level Model Predictive Control Through Curriculum Reinforcement Learning
Lane change in dense traffic is considered a challenging problem that ty...
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03/06/2023
Parallel Optimization for Cooperative Autonomous Driving at Unsignalized Roundabouts with Hard Safety Guarantees
The development of connected autonomous vehicles (CAVs) facilitates the ...
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01/11/2023
Decentralized iLQR for Cooperative Trajectory Planning of Connected Autonomous Vehicles via Dual Consensus ADMM
Developments in cooperative trajectory planning of connected autonomous ...
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12/22/2022
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation
Conversational recommender systems (CRSs) often utilize external knowled...
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11/09/2022
A Method to Judge the Style of Classical Poetry Based on Pre-trained Model
One of the important topics in the research field of Chinese classical p...
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10/23/2022
Span-based joint entity and relation extraction augmented with sequence tagging mechanism
Span-based joint extraction simultaneously conducts named entity recogni...
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10/16/2022
On the User Behavior Leakage from Recommender System Exposure
Modern recommender systems are trained to predict users potential future...
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08/18/2022
A Two-Phase Paradigm for Joint Entity-Relation Extraction
An exhaustive study has been conducted to investigate span-based models ...
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08/17/2022
A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search
Textual adversarial attacks expose the vulnerabilities of text classifie...
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08/17/2022
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes
Few-shot named entity recognition (NER) enables us to build a NER system...
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07/11/2022
SummScore: A Comprehensive Evaluation Metric for Summary Quality Based on Cross-Encoder
Text summarization models are often trained to produce summaries that me...
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07/11/2022
Topic-Grained Text Representation-based Model for Document Retrieval
Document retrieval enables users to find their required documents accura...
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07/07/2022
Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity Recognition
For Named Entity Recognition (NER), sequence labeling-based and span-bas...
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06/27/2022
Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation
Cross-domain recommendation (CDR) can help customers find more satisfyin...
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06/22/2022
Efficient and effective training of language and graph neural network models
Can we combine heterogenous graph structure with text to learn high-qual...
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04/03/2022
Eddy Covariance: A Scientometric Review (1981-2018)
The history of eddy covariance (EC) measuring system could be dated back...
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03/30/2022
Learning to Socially Navigate in Pedestrian-rich Environments with Interaction Capacity
Existing navigation policies for autonomous robots tend to focus on coll...
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03/19/2022
Incremental Few-Shot Learning via Implanting and Compressing
This work focuses on tackling the challenging but realistic visual task ...
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02/20/2022
Velocity Obstacle Based Risk-Bounded Motion Planning for Stochastic Multi-Agent Systems
In this paper, we present an innovative risk-bounded motion planning met...
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01/10/2022
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images
Assessment of myocardial viability is essential in diagnosis and treatme...
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11/29/2021
Generating gapless land surface temperature with a high spatio-temporal resolution by fusing multi-source satellite-observed and model-simulated data
Land surface temperature (LST) is a key parameter when monitoring land s...
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09/23/2021
Towards Generalized and Incremental Few-Shot Object Detection
Real-world object detection is highly desired to be equipped with the le...
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09/06/2021
Crowd-Aware Robot Navigation for Pedestrians with Multiple Collision Avoidance Strategies via Map-based Deep Reinforcement Learning
It is challenging for a mobile robot to navigate through human crowds. E...
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08/13/2021
Reinforcement Learning for Robot Navigation with Adaptive ExecutionDuration (AED) in a Semi-Markov Model
Deep reinforcement learning (DRL) algorithms have proven effective in ro...
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08/12/2021
DRQN-based 3D Obstacle Avoidance with a Limited Field of View
In this paper, we propose a map-based end-to-end DRL approach for three-...
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07/12/2021
Inference on Individual Treatment Effects in Nonseparable Triangular Models
In nonseparable triangular models with a binary endogenous treatment and...
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06/23/2021
Improving Transformer-based Sequential Recommenders through Preference Editing
One of the key challenges in Sequential Recommendation (SR) is how to ex...
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05/21/2021
Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism
Span-based joint extraction simultaneously conducts named entity recogni...
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05/13/2021
Semi-Supervised Variational Reasoning for Medical Dialogue Generation
Medical dialogue generation aims to provide automatic and accurate respo...
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03/24/2021
Receding Horizon Motion Planning for Multi-Agent Systems: A Velocity Obstacle Based Probabilistic Method
In this paper, a novel and innovative methodology for feasible motion pl...
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03/23/2021
Generalized Iterative Super-Twisting Sliding Mode Control: A Case Study on Flexure-Joint Dual-Drive H-Gantry Stage
Mechatronic systems are commonly used in the industry, where fast and ac...
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03/04/2021
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference
The MICCAI conference has encountered tremendous growth over the last ye...
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01/25/2021
ADMM-Based Parallel Optimization for Multi-Agent Collision-Free Model Predictive Control
This paper investigates the multi-agent collision-free control problem f...
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01/01/2021
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?
Segmentation is one of the most important and popular tasks in medical i...
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01/01/2021
Sequential Convex Programming for Collaboration of Connected and Automated Vehicles
This paper investigates the collaboration of multiple connected and auto...
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01/01/2021