Search Results for author: Qi Sun

Found 23 papers, 4 papers with code

A Chit-Chats Enhanced Task-Oriented Dialogue Corpora for Fuse-Motive Conversation Systems

1 code implementation12 May 2022 Changhong Yu, Chunhong Zhang, Qi Sun

The goal of building intelligent dialogue systems has largely been separately pursued under two motives: task-oriented dialogue (TOD) systems, and open-domain systems for chit-chat (CC).

Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks

no code implementations10 Dec 2021 Qi Sun, Hexin Dong, Zewei Chen, Jiacheng Sun, Zhenguo Li, Bin Dong

Gradient-based methods for the distributed training of residual networks (ResNets) typically require a forward pass of the input data, followed by back-propagating the error gradient to update model parameters, which becomes time-consuming as the network goes deeper.

Data Augmentation

Layer-Parallel Training of Residual Networks with Auxiliary Variables

no code implementations NeurIPS Workshop DLDE 2021 Qi Sun, Hexin Dong, Zewei Chen, Weizhen Dian, Jiacheng Sun, Yitong Sun, Zhenguo Li, Bin Dong

Backpropagation algorithm is indispensable for training modern residual networks (ResNets) and usually tends to be time-consuming due to its inherent algorithmic lockings.

Data Augmentation

Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview

no code implementations29 May 2021 Zhaoxin Fan, Yazhi Zhu, Yulin He, Qi Sun, Hongyan Liu, Jun He

Therefore, this study presents a comprehensive review of recent progress in object pose detection and tracking that belongs to the deep learning technical route.

Autonomous Driving Pose Tracking

Foveated Neural Radiance Fields for Real-Time and Egocentric Virtual Reality

no code implementations30 Mar 2021 Nianchen Deng, Zhenyi He, Jiannan Ye, PRANEETH CHAKRAVARTHULA, Xubo Yang, Qi Sun

Tailored for the future portable, low-storage, and energy-efficient VR platforms, we present the first gaze-contingent 3D neural representation and view synthesis method.

Distributed Computing

Integrated Decision and Control: Towards Interpretable and Computationally Efficient Driving Intelligence

2 code implementations18 Mar 2021 Yang Guan, Yangang Ren, Qi Sun, Shengbo Eben Li, Haitong Ma, Jingliang Duan, Yifan Dai, Bo Cheng

In this paper, we present an interpretable and computationally efficient framework called integrated decision and control (IDC) for automated vehicles, which decomposes the driving task into static path planning and dynamic optimal tracking that are structured hierarchically.

Autonomous Driving Model-based Reinforcement Learning +1

Decision-Making under On-Ramp merge Scenarios by Distributional Soft Actor-Critic Algorithm

no code implementations8 Mar 2021 Yiting Kong, Yang Guan, Jingliang Duan, Shengbo Eben Li, Qi Sun, Bingbing Nie

In this paper, we propose an RL-based end-to-end decision-making method under a framework of offline training and online correction, called the Shielded Distributional Soft Actor-critic (SDSAC).

Decision Making

Recurrent Model Predictive Control

no code implementations23 Feb 2021 Zhengyu Liu, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Yuming Yin, Ziyu Lin, Qi Sun, Bo Cheng

This paper proposes an off-line algorithm, called Recurrent Model Predictive Control (RMPC), to solve general nonlinear finite-horizon optimal control problems.

Steadily Learn to Drive with Virtual Memory

no code implementations16 Feb 2021 Yuhang Zhang, Yao Mu, Yujie Yang, Yang Guan, Shengbo Eben Li, Qi Sun, Jianyu Chen

Reinforcement learning has shown great potential in developing high-level autonomous driving.

Autonomous Driving

A Practical Layer-Parallel Training Algorithm for Residual Networks

no code implementations3 Sep 2020 Qi Sun, Hexin Dong, Zewei Chen, Weizhen Dian, Jiacheng Sun, Yitong Sun, Zhenguo Li, Bin Dong

Gradient-based algorithms for training ResNets typically require a forward pass of the input data, followed by back-propagating the objective gradient to update parameters, which are time-consuming for deep ResNets.

Data Augmentation

Mixed Reinforcement Learning with Additive Stochastic Uncertainty

no code implementations28 Feb 2020 Yao Mu, Shengbo Eben Li, Chang Liu, Qi Sun, Bingbing Nie, Bo Cheng, Baiyu Peng

This paper presents a mixed reinforcement learning (mixed RL) algorithm by simultaneously using dual representations of environmental dynamics to search the optimal policy with the purpose of improving both learning accuracy and training speed.

reinforcement-learning

Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic

no code implementations13 Feb 2020 Yangang Ren, Jingliang Duan, Shengbo Eben Li, Yang Guan, Qi Sun

In this paper, we introduce the minimax formulation and distributional framework to improve the generalization ability of RL algorithms and develop the Minimax Distributional Soft Actor-Critic (Minimax DSAC) algorithm.

Autonomous Driving Decision Making +1

Direct and indirect reinforcement learning

no code implementations23 Dec 2019 Yang Guan, Shengbo Eben Li, Jingliang Duan, Jie Li, Yangang Ren, Qi Sun, Bo Cheng

Reinforcement learning (RL) algorithms have been successfully applied to a range of challenging sequential decision making and control tasks.

Decision Making reinforcement-learning

Adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints

no code implementations26 Nov 2019 Jingliang Duan, Zhengyu Liu, Shengbo Eben Li, Qi Sun, Zhenzhong Jia, Bo Cheng

CADP linearizes the constrained optimization problem locally into a quadratically constrained linear programming problem, and then obtains the optimal update of the policy network by solving its dual problem.

DiffTaichi: Differentiable Programming for Physical Simulation

2 code implementations ICLR 2020 Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand

We present DiffTaichi, a new differentiable programming language tailored for building high-performance differentiable physical simulators.

Physical Simulations

Learning to Reconstruct 3D Manhattan Wireframes from a Single Image

2 code implementations ICCV 2019 Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma

In this paper, we propose a method to obtain a compact and accurate 3D wireframe representation from a single image by effectively exploiting global structural regularities.

Stochastic Training of Residual Networks: a Differential Equation Viewpoint

no code implementations1 Dec 2018 Qi Sun, Yunzhe Tao, Qiang Du

During the last few years, significant attention has been paid to the stochastic training of artificial neural networks, which is known as an effective regularization approach that helps improve the generalization capability of trained models.

Image Classification

Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling

no code implementations NeurIPS 2018 Yunzhe Tao, Qi Sun, Qiang Du, Wei Liu

Nonlocal neural networks have been proposed and shown to be effective in several computer vision tasks, where the nonlocal operations can directly capture long-range dependencies in the feature space.

CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment

no code implementations SEMEVAL 2018 Zhengping Jiang, Qi Sun

In this document we present an end-to-end machine reading comprehension system that solves multiple choice questions with a textual entailment perspective.

Common Sense Reasoning Language Modelling +5

Deep Reinforcement Learning for Resource Management in Network Slicing

no code implementations17 May 2018 Rongpeng Li, Zhifeng Zhao, Qi Sun, Chi-Lin I, Chenyang Yang, Xianfu Chen, MinJian Zhao, Honggang Zhang

Network slicing is born as an emerging business to operators, by allowing them to sell the customized slices to various tenants at different prices.

reinforcement-learning

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