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09/12/2023
A 3M-Hybrid Model for the Restoration of Unique Giant Murals: A Case Study on the Murals of Yongle Palace
The Yongle Palace murals, as valuable cultural heritage, have suffered v...
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09/06/2023
Prompt-based All-in-One Image Restoration using CNNs and Transformer
Image restoration aims to recover the high-quality images from their deg...
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08/17/2023
Model-Free Algorithm with Improved Sample Efficiency for Zero-Sum Markov Games
The problem of two-player zero-sum Markov games has recently attracted i...
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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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08/16/2023
ALIP: Adaptive Language-Image Pre-training with Synthetic Caption
Contrastive Language-Image Pre-training (CLIP) has significantly boosted...
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08/10/2023
Provably Efficient Algorithm for Nonstationary Low-Rank MDPs
Reinforcement learning (RL) under changing environment models many real-...
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07/01/2023
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations
The general sequential decision-making problem, which includes Markov de...
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06/14/2023
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources
Existing theoretical studies on offline reinforcement learning (RL) most...
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06/14/2023
Differentially Private Wireless Federated Learning Using Orthogonal Sequences
We propose a novel privacy-preserving uplink over-the-air computation (A...
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06/10/2023
The Weight Distributions of Two Classes of Linear Codes From Perfect Nonlinear Functions
In this paper, all the possibilities for the value distribution of a per...
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06/09/2023
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints
This paper investigates conservative exploration in reinforcement learni...
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06/09/2023
The Age of Synthetic Realities: Challenges and Opportunities
Synthetic realities are digital creations or augmentations that are cont...
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06/08/2023
Federated Linear Contextual Bandits with User-level Differential Privacy
This paper studies federated linear contextual bandits under the notion ...
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06/01/2023
Non-stationary Reinforcement Learning under General Function Approximation
General function approximation is a powerful tool to handle large state ...
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05/09/2023
A Mountain-Shaped Single-Stage Network for Accurate Image Restoration
Image restoration is the task of aiming to obtain a high-quality image f...
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05/06/2023
Bézout Subresultants for Univariate Polynomials in General Basis
Subresultant is a powerful tool for developing various algorithms in com...
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05/03/2023
Reward Teaching for Federated Multi-armed Bandits
Most of the existing federated multi-armed bandits (FMAB) designs are ba...
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04/12/2023
Unicom: Universal and Compact Representation Learning for Image Retrieval
Modern image retrieval methods typically rely on fine-tuning pre-trained...
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04/11/2023
Light Sampling Field and BRDF Representation for Physically-based Neural Rendering
Physically-based rendering (PBR) is key for immersive rendering effects ...
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04/01/2023
Two Variants of Bezout Subresultants for Several Univariate Polynomials
In this paper, we develop two variants of Bezout subresultant formulas f...
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03/20/2023
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
In reward-free reinforcement learning (RL), an agent explores the enviro...
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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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02/11/2023
ConMAE: Contour Guided MAE for Unsupervised Vehicle Re-Identification
Vehicle re-identification is a cross-view search task by matching the sa...
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01/27/2023
Adaptive Least-Squares Methods for Convection-Dominated Diffusion-Reaction Problems
This paper studies adaptive least-squares finite element methods for con...
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01/11/2023
Determinate Node Selection for Semi-supervised Classification Oriented Graph Convolutional Networks
Graph Convolutional Networks (GCNs) have been proved successful in the f...
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01/01/2023
Parametric "Non-nested" Discriminants for Multiplicities of Univariate Polynomials
We consider the problem of complex root classification, i.e., finding th...
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12/07/2022
Generalized Companion Subresultants of Several Univariate Polynomials in Newton Basis
In this paper, the concept of companion subresultant for polynomials in ...
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11/16/2022
Few-shot Learning for Multi-modal Social Media Event Filtering
Social media has become an important data source for event analysis. Whe...
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11/11/2022
FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection
Due to its importance in facial behaviour analysis, facial action unit (...
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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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10/11/2022
Intersections of linear codes and related MDS codes with new Galois hulls
Let SLAut(𝔽_q^n) denote the group of all semilinear isometries on 𝔽_q^n,...
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06/28/2022
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-free RL
While the primary goal of the exploration phase in reward-free reinforce...
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06/25/2022
A gated group sequential design for seamless Phase II/III trial with subpopulation selection
Due to the high cost and high failure rate of Phase III trials, seamless...
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06/24/2022
Unified BERT for Few-shot Natural Language Understanding
Even as pre-trained language models share a semantic encoder, natural la...
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06/21/2022
Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation
In real-world crowd counting applications, the crowd densities in an ima...
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06/13/2022
Provable Benefit of Multitask Representation Learning in Reinforcement Learning
As representation learning becomes a powerful technique to reduce sample...
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05/13/2022
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Existing knowledge distillation methods mostly focus on distillation of ...
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05/10/2022
Transformer-based Cross-Modal Recipe Embeddings with Large Batch Training
In this paper, we present a cross-modal recipe retrieval framework, Tran...
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03/28/2022
Killing Two Birds with One Stone:Efficient and Robust Training of Face Recognition CNNs by Partial FC
Learning discriminative deep feature embeddings by using million-scale i...
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02/18/2022
Post-quantum Multi-stage Secret Sharing Schemes using Inhomogeneous Linear Recursion and Ajtai's Function
Secret sharing was firstly proposed in 1979 by Shamir and Blakley respec...
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02/12/2022
On Federated Learning with Energy Harvesting Clients
Catering to the proliferation of Internet of Things devices and distribu...
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01/29/2022
Random Orthogonalization for Federated Learning in Massive MIMO Systems
We propose a novel uplink communication method, coined random orthogonal...
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01/25/2022
Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis
Nowadays, with the explosive growth of multimodal reviews on social medi...
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12/31/2021
Subresultant of several univariate polynomials
Subresultant of two univariate polynomials is a fundamental object in co...
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12/30/2021
Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing
Although existing face anti-spoofing (FAS) methods achieve high accuracy...
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12/27/2021
Duck swarm algorithm: a novel swarm intelligence algorithm
A swarm intelligence-based optimization algorithm, named Duck Swarm Algo...
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10/27/2021
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization
Despite the significant interests and many progresses in decentralized m...
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10/27/2021
Federated Linear Contextual Bandits
This paper presents a novel federated linear contextual bandits model, w...
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10/11/2021
Explainable Fact-checking through Question Answering
Misleading or false information has been creating chaos in some places a...
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09/22/2021