b'Shuai Li'

research

∙ 09/21/2023

Spatial-Temporal Transformer based Video Compression Framework

Learned video compression (LVC) has witnessed remarkable advancements in...

0 Yanbo Gao, et al. ∙

research

∙ 08/24/2023

MOFA: A Model Simplification Roadmap for Image Restoration on Mobile Devices

Image restoration aims to restore high-quality images from degraded coun...

0 Xiangyu Chen, et al. ∙

research

∙ 08/19/2023

DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning

Communication lays the foundation for cooperation in human society and i...

0 Canzhe Zhao, et al. ∙

research

∙ 08/05/2023

Disentangled Counterfactual Reasoning for Unbiased Sequential Recommendation

Sequential recommender systems have achieved state-of-the-art recommenda...

0 Yi Ren, et al. ∙

research

∙ 07/20/2023

Player-optimal Stable Regret for Bandit Learning in Matching Markets

The problem of matching markets has been studied for a long time in the ...

0 Fang Kong, et al. ∙

research

∙ 05/26/2023

Adversarial Attacks on Online Learning to Rank with Click Feedback

Online learning to rank (OLTR) is a sequential decision-making problem w...

0 Jinhang Zuo, et al. ∙

research

∙ 05/26/2023

Future-conditioned Unsupervised Pretraining for Decision Transformer

Recent research in offline reinforcement learning (RL) has demonstrated ...

0 Zhihui Xie, et al. ∙

research

∙ 05/17/2023

Large-Scale Package Manipulation via Learned Metrics of Pick Success

Automating warehouse operations can reduce logistics overhead costs, ult...

0 Shuai Li, et al. ∙

research

∙ 04/26/2023

The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

Large language models (LLMs) are known for their exceptional performance...

0 Shuai Li, et al. ∙

research

∙ 04/23/2023

Using Alternation Direction Method of Multipliers to Enhance robots Calibration Accuracy based on Multi-Planal Constraints

With the widespread application of industrial robots, the problem of abs...

0 Tinghui Chen, et al. ∙

research

∙ 04/12/2023

Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera

Due to the difficulty in collecting large-scale and perfectly aligned pa...

4 Ruicheng Feng, et al. ∙

research

∙ 04/09/2023

Nearest-Neighbor Sampling Based Conditional Independence Testing

The conditional randomization test (CRT) was recently proposed to test w...

0 Shuai Li, et al. ∙

research

∙ 03/13/2023

Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm

The linear bandit problem has been studied for many years in both stocha...

0 Fang Kong, et al. ∙

research

∙ 03/01/2023

Efficient Explorative Key-term Selection Strategies for Conversational Contextual Bandits

Conversational contextual bandits elicit user preferences by occasionall...

0 Zhiyong Wang, et al. ∙

research

∙ 02/14/2023

Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization

Learning Markov decision processes (MDP) in an adversarial environment h...

0 Fang Kong, et al. ∙

research

∙ 11/08/2022

Pretraining in Deep Reinforcement Learning: A Survey

The past few years have seen rapid progress in combining reinforcement l...

0 Zhihui Xie, et al. ∙

research

∙ 10/25/2022

Salient Object Detection via Dynamic Scale Routing

Recent research advances in salient object detection (SOD) could largely...

0 Zhenyu Wu, et al. ∙

research

∙ 09/06/2022

Hierarchical Conversational Preference Elicitation with Bandit Feedback

The recent advances of conversational recommendations provide a promisin...

0 Jinhang Zuo, et al. ∙

research

∙ 08/31/2022

Federated Online Clustering of Bandits

Contextual multi-armed bandit (MAB) is an important sequential decision-...

0 Xutong Liu, et al. ∙

research

∙ 08/21/2022

Comparison-based Conversational Recommender System with Relative Bandit Feedback

With the recent advances of conversational recommendations, the recommen...

0 Zhihui Xie, et al. ∙

research

∙ 08/04/2022

A novel robot calibration method with plane constraint based on dial indicator

In pace with the electronic technology development and the production te...

0 Tinghui Chen, et al. ∙

research

∙ 08/01/2022

A New Calibration Method for Industrial Robot Based on Step-Size Levenberg-Marquardt Algorithm

Industrial robots play a vital role in automatic production, which have ...

0 Zhibin Li, et al. ∙

research

∙ 07/29/2022

Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization

A novel meta-heuristic algorithm, Egret Swarm Optimization Algorithm (ES...

0 Zuyan Chen, et al. ∙

research

∙ 07/12/2022

Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model

Online learning to rank (OLTR) interactively learns to choose lists of i...

0 Cheng Chen, et al. ∙

research

∙ 06/17/2022

A Graph-Enhanced Click Model for Web Search

To better exploit search logs and model users' behavior patterns, numero...

0 Jianghao Lin, et al. ∙

research

∙ 06/16/2022

Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback

The problem of online learning with graph feedback has been extensively ...

0 Fang Kong, et al. ∙

research

∙ 04/26/2022

Thompson Sampling for Bandit Learning in Matching Markets

The problem of two-sided matching markets has a wide range of real-world...

0 Fang Kong, et al. ∙

research

∙ 04/13/2022

A Novel Quadratic Interpolated Beetle Antennae Search for Manipulator Calibration

Over the past decades, industrial manipulators play a vital role in in v...

0 Zhibin Li, et al. ∙

research

∙ 04/13/2022

An Advancing Ensemble with Diversified Algorithms for Robot Arm Calibration

Recently, industrial robots plays a significant role in intelligent manu...

0 Zhibin Li, et al. ∙

research

∙ 04/13/2022

A New Robot Arm Calibration Method Based on Cubic Interpolated Beetle Antennae Search Approach

Industrial robot arms are extensively important for intelligent manufact...

0 Zhibin Li, et al. ∙

research

∙ 03/30/2022

Learning of Global Objective for Network Flow in Multi-Object Tracking

This paper concerns the problem of multi-object tracking based on the mi...

0 Shuai Li, et al. ∙

research

∙ 03/19/2022

Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds

Transformer has demonstrated promising performance in many 2D vision tas...

0 Chenhang He, et al. ∙

research

∙ 03/18/2022

Towards Robust 2D Convolution for Reliable Visual Recognition

2D convolution (Conv2d), which is responsible for extracting features fr...

1 Lida Li, et al. ∙

research

∙ 03/18/2022

Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation

Domain adaptive semantic segmentation aims to learn a model with the sup...

24 Ruihuang Li, et al. ∙

research

∙ 03/18/2022

A Dual Weighting Label Assignment Scheme for Object Detection

Label assignment (LA), which aims to assign each training sample a posit...

0 Shuai Li, et al. ∙

research

∙ 03/02/2022

A density peaks clustering algorithm with sparse search and K-d tree

Density peaks clustering has become a nova of clustering algorithm becau...

0 Yunxiao Shan, et al. ∙

research

∙ 01/25/2022

Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization

Temporal difference (TD) learning is a widely used method to evaluate po...

0 Canzhe Zhao, et al. ∙

research

∙ 11/08/2021

The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle

Thompson sampling (TS) has attracted a lot of interest in the bandit are...

0 Fang Kong, et al. ∙

research

∙ 09/09/2021

Incentivizing an Unknown Crowd

Motivated by the common strategic activities in crowdsourcing labeling, ...

0 Jing Dong, et al. ∙

research

∙ 09/05/2021

Shaping Individualized Impedance Landscapes for Gait Training via Reinforcement Learning

Assist-as-needed (AAN) control aims at promoting therapeutic outcomes in...

0 Yufeng Zhang, et al. ∙

research

∙ 08/12/2021

Deep Camera Obscura: An Image Restoration Pipeline for Lensless Pinhole Photography

The lensless pinhole camera is perhaps the earliest and simplest form of...

8 Joshua D. Rego, et al. ∙

research

∙ 07/27/2021

Towards Black-box Attacks on Deep Learning Apps

Deep learning is a powerful weapon to boost application performance in m...

0 Hongchen Cao, et al. ∙

research

∙ 06/24/2021

A Global Appearance and Local Coding Distortion based Fusion Framework for CNN based Filtering in Video Coding

In-loop filtering is used in video coding to process the reconstructed f...

0 Jian Yue, et al. ∙

research

∙ 06/08/2021

Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions

We study the problem of stochastic bandits with adversarial corruptions ...

0 Junyan Liu, et al. ∙

research

∙ 06/07/2021

On Learning to Rank Long Sequences with Contextual Bandits

Motivated by problems of learning to rank long item sequences, we introd...

0 Anirban Santara, et al. ∙

research

∙ 06/01/2021

Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners

Unsupervised domain adaptation (UDA) and semi-supervised learning (SSL) ...

17 Yabin Zhang, et al. ∙

research

∙ 05/29/2021

Understanding Bandits with Graph Feedback

The bandit problem with graph feedback, proposed in [Mannor and Shamir, ...

0 Houshuang Chen, et al. ∙

research

∙ 05/24/2021

Cascading Bandit under Differential Privacy

This paper studies differential privacy (DP) and local differential priv...

1 Kun Wang, et al. ∙

research

∙ 04/19/2021

Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network

Recent development of Under-Display Camera (UDC) systems provides a true...

17 Ruicheng Feng, et al. ∙

research

∙ 04/17/2021

Conservative Contextual Combinatorial Cascading Bandit

Conservative mechanism is a desirable property in decision-making proble...

5 Kun Wang, et al. ∙

Shuai Li

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