b'Na Li'

research

∙ 12/17/2022

Latent Variable Representation for Reinforcement Learning

Deep latent variable models have achieved significant empirical successe...

Tongzheng Ren, et al. ∙

research

∙ 12/02/2022

Multi-Agent Reinforcement Learning with Reward Delays

This paper considers multi-agent reinforcement learning (MARL) where the...

Yuyang Zhang, et al. ∙

research

∙ 11/14/2022

Learning to Optimize with Stochastic Dominance Constraints

In real-world decision-making, uncertainty is important yet difficult to...

Hanjun Dai, et al. ∙

research

∙ 10/15/2022

Semantic Video Moments Retrieval at Scale: A New Task and a Baseline

Motivated by the increasing need of saving search effort by obtaining re...

Na Li, et al. ∙

research

∙ 10/11/2022

The DKU-Tencent System for the VoxCeleb Speaker Recognition Challenge 2022

This paper is the system description of the DKU-Tencent System for the V...

Xiaoyi Qin, et al. ∙

research

∙ 10/10/2022

Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies

Gradient-based methods have been widely used for system design and optim...

Bin Hu, et al. ∙

research

∙ 09/20/2022

Distributed Information-based Source Seeking

In this paper, we design an information-based multi-robot source seeking...

Tianpeng Zhang, et al. ∙

research

∙ 09/20/2022

Multi-armed Bandit Learning on a Graph

The multi-armed bandit(MAB) problem is a simple yet powerful framework t...

Tianpeng Zhang, et al. ∙

research

∙ 09/08/2022

FedDAR: Federated Domain-Aware Representation Learning

Cross-silo Federated learning (FL) has become a promising tool in machin...

Aoxiao Zhong, et al. ∙

research

∙ 08/19/2022

Dialogue Policies for Confusion Mitigation in Situated HRI

Confusion is a mental state triggered by cognitive disequilibrium that c...

Na Li, et al. ∙

research

∙ 08/16/2022

A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathological Images

Pathologists need to combine information from differently stained pathol...

Chulong Zhang, et al. ∙

research

∙ 07/13/2022

Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddings

Automatic speaker verification has achieved remarkable progress in recen...

Xiaoyi Qin, et al. ∙

research

∙ 06/06/2022

Policy Optimization for Markov Games: Unified Framework and Faster Convergence

This paper studies policy optimization algorithms for multi-agent reinfo...

Runyu Zhang, et al. ∙

research

∙ 06/06/2022

Detecting Interlocutor Confusion in Situated Human-Avatar Dialogue: A Pilot Study

In order to enhance levels of engagement with conversational systems, ou...

Na Li, et al. ∙

research

∙ 06/03/2022

Transferring Studies Across Embodiments: A Case Study in Confusion Detection

Human-robot studies are expensive to conduct and difficult to control, a...

Na Li, et al. ∙

research

∙ 05/01/2022

A Survey of Decentralized Online Learning

Decentralized online learning (DOL) has been increasingly researched in ...

Xiuxian Li, et al. ∙

research

∙ 04/08/2022

Deep Learning-Based Intra Mode Derivation for Versatile Video Coding

In intra coding, Rate Distortion Optimization (RDO) is performed to achi...

Linwei Zhu, et al. ∙

research

∙ 02/04/2022

The CUHK-TENCENT speaker diarization system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge

This paper describes our speaker diarization system submitted to the Mul...

Naijun Zheng, et al. ∙

research

∙ 02/02/2022

On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems

Softmax policy gradient is a popular algorithm for policy optimization i...

Runyu Zhang, et al. ∙

research

∙ 12/15/2021

Communication-Efficient Distributed SGD with Compressed Sensing

We consider large scale distributed optimization over a set of edge devi...

Yujie Tang, et al. ∙

research

∙ 11/24/2021

Notebook-as-a-VRE (NaaVRE): from private notebooks to a collaborative cloud virtual research environment

Virtual Research Environments (VREs) provide user-centric support in the...

Zhiming Zhao, et al. ∙

research

∙ 10/31/2021

Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees

We study the adaptive control of an unknown linear system with a quadrat...

Yingying Li, et al. ∙

research

∙ 10/13/2021

Simple Attention Module based Speaker Verification with Iterative noisy label detection

Recently, the attention mechanism such as squeeze-and-excitation module ...

Xiaoyi Qin, et al. ∙

research

∙ 10/09/2021

Self-adaptive Multi-task Particle Swarm Optimization

Multi-task optimization (MTO) studies how to simultaneously solve multip...

Xiaolong Zheng, et al. ∙

research

∙ 07/19/2021

A Benchmark for Gait Recognition under Occlusion Collected by Multi-Kinect SDAS

Human gait is one of important biometric characteristics for human ident...

Na Li, et al. ∙

research

∙ 06/25/2021

Data-driven Fair Resource Allocation For Novel Emerging Epidemics: A COVID-19 Convalescent Plasma Case Study

Epidemics are a serious public health threat, and the resources for miti...

Maryam Akbari-Moghaddam, et al. ∙

research

∙ 06/21/2021

Applying VertexShuffle Toward 360-Degree Video Super-Resolution on Focused-Icosahedral-Mesh

With the emerging of 360-degree image/video, augmented reality (AR) and ...

Na Li, et al. ∙

research

∙ 06/01/2021

Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence

We study the performance of the gradient play algorithm for multi-agent ...

Runyu Zhang, et al. ∙

research

∙ 02/16/2021

Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach

We consider a many-to-one wireless architecture for federated learning a...

Junshan Zhang, et al. ∙

research

∙ 01/27/2021

Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision

With large-scale integration of renewable generation and ubiquitous dist...

Xin Chen, et al. ∙

research

∙ 01/06/2021

Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models

Platelet products are both expensive and have very short shelf lives. As...

Maryam Motamedi, et al. ∙

research

∙ 12/04/2020

Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings

While the success of pre-trained language models has largely eliminated ...

Na Li, et al. ∙

research

∙ 11/29/2020

On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner

Author disambiguation arises when different authors share the same name,...

Na Li, et al. ∙

research

∙ 11/25/2020

Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms

We consider online convex optimization with time-varying stage costs and...

Yingying Li, et al. ∙

research

∙ 11/19/2020

Zeroth-Order Feedback Optimization for Cooperative Multi-Agent Systems

We study a class of cooperative multi-agent optimization problems, where...

Yujie Tang, et al. ∙

research

∙ 11/03/2020

Federated LQR: Learning through Sharing

In many multi-agent reinforcement learning applications such as flocking...

Zhaolin Ren, et al. ∙

research

∙ 10/28/2020

Replay and Synthetic Speech Detection with Res2net Architecture

Existing approaches for replay and synthetic speech detection still lack...

Xu Li, et al. ∙

research

∙ 10/21/2020

ASCII: ASsisted Classification with Ignorance Interchange

The rapid development in data collecting devices and computation platfor...

Jiaying Zhou, et al. ∙

research

∙ 10/11/2020

Online Learning and Distributed Control for Residential Demand Response

This paper studies the automated control method for regulating air condi...

Xin Chen, et al. ∙

research

∙ 10/10/2020

Online Optimal Control with Affine Constraints

This paper considers online optimal control with affine constraints on t...

Yingying Li, et al. ∙

research

∙ 09/07/2020

Stem-leaf segmentation and phenotypic trait extraction of maize shoots from three-dimensional point cloud

Nowadays, there are many approaches to acquire three-dimensional (3D) po...

Chao Zhu, et al. ∙

research

∙ 08/17/2020

A decision integration strategy for short-term demand forecasting and ordering for red blood cell components

Blood transfusion is one of the most crucial and commonly administered t...

Na Li, et al. ∙

research

∙ 06/11/2020

Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward

It has long been recognized that multi-agent reinforcement learning (MAR...

Guannan Qu, et al. ∙

research

∙ 06/11/2020

Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification

Recently adversarial attacks on automatic speaker verification (ASV) sys...

Xu Li, et al. ∙

research

∙ 03/07/2020

Online Residential Demand Response via Contextual Multi-Armed Bandits

Residential load demands have huge potential to be exploited to enhance ...

Xin Chen, et al. ∙

research

∙ 02/20/2020

MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis

According to the World Health Organization, the number of mental disorde...

Hanshu Cai, et al. ∙

research

∙ 02/20/2020

MODMA dataset: a Multi-model Open Dataset for Mental-disorder Analysis

According to the World Health Organization, the number of mental disorde...

Hanshu Cai, et al. ∙

research

∙ 12/20/2019

Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap

Cyberphysical systems (CPS) are ubiquitous in our personal and professio...

Somali Chaterji, et al. ∙

research

∙ 12/19/2019

Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach

This paper considers a distributed reinforcement learning problem for de...

Yingying Li, et al. ∙

research

∙ 12/05/2019

Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems

We study reinforcement learning (RL) in a setting with a network of agen...

Guannan Qu, et al. ∙

Na Li

Featured Co-authors