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08/29/2023
TaskLAMA: Probing the Complex Task Understanding of Language Models
Structured Complex Task Decomposition (SCTD) is the problem of breaking ...
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08/07/2023
Learning-based Near-optimal Motion Planning for Intelligent Vehicles with Uncertain Dynamics
Motion planning has been an important research topic in achieving safe a...
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07/31/2023
From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement
Most existing Low-Light Image Enhancement (LLIE) methods are primarily d...
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06/13/2023
BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information
Automated reasoning with unstructured natural text is a key requirement ...
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05/31/2023
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs
Multi-output deep neural networks(MONs) contain multiple task branches, ...
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05/23/2023
Dr.ICL: Demonstration-Retrieved In-context Learning
In-context learning (ICL), teaching a large language model (LLM) to perf...
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05/15/2023
Schema-adaptable Knowledge Graph Construction
Conventional Knowledge Graph Construction (KGC) approaches typically fol...
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05/02/2023
How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
Scaling language models have revolutionized widespread NLP tasks, yet li...
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03/15/2023
RSFNet: A White-Box Image Retouching Approach using Region-Specific Color Filters
Retouching images is an essential aspect of enhancing the visual appeal ...
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12/20/2022
LAMBADA: Backward Chaining for Automated Reasoning in Natural Language
Remarkable progress has been made on automated reasoning with knowledge ...
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11/12/2022
Regularized Barzilai-Borwein method
This paper is concerned with the introduction of regularization into RBB...
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11/03/2022
The ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC): Dataset, Tracks, Baseline and Results
This paper summarizes the outcomes from the ISCSLP 2022 Intelligent Cock...
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10/19/2022
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
This paper presents an empirical study to build relation extraction syst...
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10/07/2022
Simulation of Transients in Natural Gas Networks via A Semi-analytical Solution Approach
Simulation and control of the transient flow in natural gas networks inv...
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06/19/2022
Towards Generalizable Person Re-identification with a Bi-stream Generative Model
Generalizable person re-identification (re-ID) has attracted growing att...
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05/22/2022
Deep Learning for Visual Speech Analysis: A Survey
Visual speech, referring to the visual domain of speech, has attracted i...
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03/16/2022
Scientific and Technological Information Oriented Semantics-adversarial and Media-adversarial Cross-media Retrieval
Cross-media retrieval of scientific and technological information is one...
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02/08/2022
Summary On The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge
The ICASSP 2022 Multi-channel Multi-party Meeting Transcription Grand Ch...
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01/10/2022
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
We present a new open-source and extensible knowledge extraction toolkit...
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12/18/2021
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles
Recently, barrier function-based safe reinforcement learning (RL) with t...
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10/14/2021
M2MeT: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge
Recent development of speech signal processing, such as speech recogniti...
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10/07/2021
WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition
In this paper, we present WenetSpeech, a multi-domain Mandarin corpus co...
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08/31/2021
Learning Practically Feasible Policies for Online 3D Bin Packing
We tackle the Online 3D Bin Packing Problem, a challenging yet practical...
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06/10/2021
Unsupervised Video Person Re-identification via Noise and Hard frame Aware Clustering
Unsupervised video-based person re-identification (re-ID) methods extrac...
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05/02/2021
A LiDAR Assisted Control Module with High Precision in Parking Scenarios for Autonomous Driving Vehicle
Autonomous driving has been quite promising in recent years. The public ...
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04/18/2021
Multi-objective Feature Selection with Missing Data in Classification
Feature selection (FS) is an important research topic in machine learnin...
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04/08/2021
AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario
In this paper, we present AISHELL-4, a sizable real-recorded Mandarin sp...
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04/02/2021
INTERSPEECH 2021 ConferencingSpeech Challenge: Towards Far-field Multi-Channel Speech Enhancement for Video Conferencing
The ConferencingSpeech 2021 challenge is proposed to stimulate research ...
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02/19/2021
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels
For systems with only known pixels, it is difficult to identify its dyna...
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02/18/2021
StablePose: Learning 6D Object Poses from Geometrically Stable Patches
We introduce the concept of geometric stability to the problem of 6D obj...
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12/22/2020
Identifiability of Bifactor Models
The bifactor model and its extensions are multidimensional latent variab...
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11/24/2020
RTFN: A Robust Temporal Feature Network for Time Series Classification
Time series data usually contains local and global patterns. Most of the...
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11/23/2020
Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric
Re-identification (re-ID) is currently investigated as a closed-world im...
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10/22/2020
AISHELL-3: A Multi-speaker Mandarin TTS Corpus and the Baselines
In this paper, we present AISHELL-3, a large-scale and high-fidelity mul...
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08/31/2020
Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix
Multi-view spectral clustering can effectively reveal the intrinsic clus...
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08/18/2020
RTFN: Robust Temporal Feature Network
Time series analysis plays a vital role in various applications, for ins...
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08/02/2020
SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images
We study the problem of symmetry detection of 3D shapes from single-view...
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07/31/2020
Exploring Image Enhancement for Salient Object Detection in Low Light Images
Low light images captured in a non-uniform illumination environment usua...
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06/16/2020
LSTM Networks for Music Generation
The paper presents a method of the music generation based on LSTM (Long ...
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06/15/2020
Derivative-free global minimization for a class of multiple minima problems
We prove that the finite-difference based derivative-free descent (FD-DF...
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05/06/2020
Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds
3D moving object detection is one of the most critical tasks in dynamic ...
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04/10/2020
Person Re-Identification via Active Hard Sample Mining
Annotating a large-scale image dataset is very tedious, yet necessary fo...
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04/05/2020
Regularized asymptotic descents for a class of nonconvex optimization problems
We propose and analyze regularized asymptotic descent (RAD) methods for ...
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04/05/2020
Regularized asymptotic descents for nonconvex optimization
In this paper we propose regularized asymptotic descent (RAD) methods fo...
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02/25/2020
Can speed up the convergence rate of stochastic gradient methods to O(1/k^2) by a gradient averaging strategy?
In this paper we consider the question of whether it is possible to appl...
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12/31/2019
Stochastic gradient-free descents
In this paper we propose stochastic gradient-free methods and gradient-f...
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11/22/2019
Robust Learning-based Predictive Control for Constrained Nonlinear Systems
The integration of machine learning methods and Model Predictive Control...
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09/17/2019
Synchronous Maneuver Searching and Trajectory Planning for Autonomous Vehicles in Dynamic Traffic Environments
In the real-time decision-making and local planning process of autonomou...
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09/03/2019
Contraction methods for continuous optimization
We describe a class of algorithms that establishes a contracting sequenc...
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09/03/2019