Tianshu Chu

According to our database, Tianshu Chu authored at least 46 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving the Post-Training Neural Network Quantization by Prepositive Feature Quantization.

Tianshu Chu, Zuopeng Yang, Xiaolin Huang

IEEE Trans. Circuits Syst. Video Technol., April, 2024

Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion.

Zuopeng Yang, Tianshu Chu, Xin Lin, Erdun Gao, Daqing Liu, Jie Yang, Chaoyue Wang

IEEE Trans. Circuits Syst. Video Technol., February, 2024

A similarity calculation model of road network and its application in map generalization quality evaluation.

Tianshu Chu, Haowen Yan, Pengbo Li, Xiaomin Lu, Xiaorong Gao

Spatial Cogn. Comput., January, 2024

Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19.

David Fong, Tianshu Chu, Matthew Heflin, Xiaosi Gu, Oshani Seneviratne

CoRR, 2024

Energy-Efficient Power Control for Multiple-Task Split Inference in UAVs: A Tiny Learning-Based Approach.

Chenxi Zhao, Min Sheng, Junyu Liu, Tianshu Chu, Jiandong Li

CoRR, 2024

2023

Improving the adversarial robustness of quantized neural networks via exploiting the feature diversity.

Tianshu Chu, Kun Fang, Jie Yang, Xiaolin Huang

Pattern Recognit. Lett., December, 2023

Eliminating Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion.

Zuopeng Yang, Tianshu Chu, Xin Lin, Erdun Gao, Daqing Liu, Jie Yang, Chaoyue Wang

CoRR, 2023

Stereoscopic Image Quality Evaluation Method for Visual Communication Design.

Xu Han, Qiuyue Shan, Tianshu Chu

IEEE Access, 2023

2022

Human-Centric Image Captioning.

Zuopeng Yang, Pengbo Wang, Tianshu Chu, Jie Yang

Pattern Recognit., 2022

2021

SOSPCNN: Structurally Optimized Stochastic Pooling Convolutional Neural Network for Tetralogy of Fallot Recognition.

Shui-Hua Wang, Kaihong Wu, Tianshu Chu, Steven Lawrence Fernandes, Qinghua Zhou, Yu-Dong Zhang, Jian Sun

Wirel. Commun. Mob. Comput., 2021

Mixed-precision quantized neural networks with progressively decreasing bitwidth.

Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang

Pattern Recognit., 2021

Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning.

Tianshu Chu, Xinmeng Li, Huy V. Vo, Ronald M. Summers, Elena Sizikova

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Improving The Robustness Of Convolutional Neural Networks Via Sketch Attention.

Tianshu Chu, Zuopeng Yang, Jie Yang, Xiaolin Huang

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control.

Tianshu Chu, Jie Wang, Lara Codecà, Zhaojian Li

IEEE Trans. Intell. Transp. Syst., 2020

PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control.

Dong Chen, Zhaojian Li, Tianshu Chu, Rui Yao, Feng Qiu, Kaixiang Lin

CoRR, 2020

Multi-agent Reinforcement Learning for Networked System Control.

Tianshu Chu, Sandeep Chinchali, Sachin Katti

Proceedings of the 8th International Conference on Learning Representations, 2020

Multi-Agent Bootstrapped Deep Q-Network for Large-Scale Traffic Signal Control.

Tian Tan, Tianshu Chu, Jie Wang

Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019

Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection.

Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang

CoRR, 2019

Study of Virus Infection Procedure using Atomic Force Microscope.

Shuai Yuan, Likai Liu, Bin Liu, Tianshu Chu, Chuang Zhang, Wenxue Wang

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

AFM Calibration of Nano-friction through Estimating Meniscus Water Membrane Contour between Single Polystyrene Nano-particle and Silicon Surface.

Shuai Yuan, Tianshu Chu, Liyong Ma, Jing Hou, Junhai Wang

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

Large-scale traffic control using autonomous vehicles and decentralized deep reinforcement learning.

Harshal Maske, Tianshu Chu, Uros Kalabic

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Model-based deep reinforcement learning for CACC in mixed-autonomy vehicle platoon.

Tianshu Chu, Uros Kalabic

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Dynamics-Enabled Safe Deep Reinforcement Learning: Case Study on Active Suspension Control.

Zhaojian Li, Tianshu Chu, Uros Kalabic

Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019

2018

Training Drift Counteraction Optimal Control Policies Using Reinforcement Learning: An Adaptive Cruise Control Example.

Zhaojian Li, Tianshu Chu, Ilya V. Kolmanovsky, Xiang Yin

IEEE Trans. Intell. Transp. Syst., 2018

Knowledge source strategy and enterprise innovation performance: dynamic analysis based on machine learning.

Xin Jin, Jie Wang, Tianshu Chu, Jinghua Xia

Technol. Anal. Strateg. Manag., 2018

Neural Networks Meet Physical Networks: Distributed Inference Between Edge Devices and the Cloud.

Sandeep P. Chinchali, Eyal Cidon, Evgenya Pergament, Tianshu Chu, Sachin Katti

Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 2018

Supporting Chinese Character Educational Interfaces with Richer Assessment Feedback through Sketch Recognition.

Tianshu Chu, Paul Taele, Tracy Hammond

Proceedings of the 44th Graphics Interface Conference, Toronto, Canada, May 8-11, 2018., 2018

Safe Reinforcement Learning: Learning with Supervision Using a Constraint-Admissible Set.

Zhaojian Li, Uros Kalabic, Tianshu Chu

Proceedings of the 2018 Annual American Control Conference, 2018

Cellular Network Traffic Scheduling With Deep Reinforcement Learning.

Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Cloud Resource Allocation for Cloud-Based Automotive Applications.

Zhaojian Li, Tianshu Chu, Ilya V. Kolmanovsky, Xiang Yin, Xunyuan Yin

CoRR, 2017

Traffic signal control by distributed Reinforcement Learning with min-sum communication.

Tianshu Chu, Jie Wang

Proceedings of the 2017 American Control Conference, 2017

2016

An adaptive online learning framework for practical breast cancer diagnosis.

Tianshu Chu, Jie Wang, Jiayu Chen

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Large-Scale Traffic Grid Signal Control Using Decentralized Fuzzy Reinforcement Learning.

Tian Tan, Tianshu Chu, Bo Peng, Jie Wang

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

Large-scale multi-agent reinforcement learning using image-based state representation.

Tianshu Chu, Shuhui Qu, Jie Wang

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Large-scale traffic grid signal control with regional Reinforcement Learning.

Tianshu Chu, Shuhui Qu, Jie Wang

Proceedings of the 2016 American Control Conference, 2016

2015

A centralized reinforcement learning approach for proactive scheduling in manufacturing.

Shuhui Qu, Tianshu Chu, Jie Wang, James O. Leckie, Weiwen Jian

Proceedings of the 20th IEEE Conference on Emerging Technologies & Factory Automation, 2015

Traffic signal control with macroscopic fundamental diagrams.

Tianshu Chu, Jie Wang

Proceedings of the American Control Conference, 2015

2014

Kernel-based reinforcement learning for traffic signal control with adaptive feature selection.

Tianshu Chu, Jie Wang, Jian Cao

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Comuptional reasoning and learning for smart manufacturing under realistic conditions.

Shuhui Qu, Raymond Jian, Tianshu Chu, Jie Wang, Tian Tan

Proceedings of the 2014 International Conference on Behavioral, 2014

2012

An Ontology-based Service Model for Smart Infrastructure Design.

Tianshu Chu, Jie Wang, James O. Leckie

Proceedings of the 2012 International Conference on Cloud and Service Computing, 2012

2010

Congestion avoidance, detection and alleviation in wireless sensor networks.

Weiwei Fang, Jiming Chen, Lei Shu, Tianshu Chu, Depei Qian

J. Zhejiang Univ. Sci. C, 2010

Quantum mechanics and quasiclassical study of the H/D+FO -> OH/OD+F, HF/DF+O reactions: Chemical stereodynamics.

Tianshu Chu

J. Comput. Chem., 2010

A Fair Thread-Aware Memory Scheduling Algorithm for Chip Multiprocessor.

Danfeng Zhu, Rui Wang, Hui Wang, Depei Qian, Zhongzhi Luan, Tianshu Chu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2010

Accelerating Dock6's Amber Scoring with Graphic Processing Unit.

Hailong Yang, Bo Li, Yongjian Wang, Zhongzhi Luan, Depei Qian, Tianshu Chu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2010

A Novel Scheme for High Performance Finite-Difference Time-Domain (FDTD) Computations Based on GPU.

Tianshu Chu, Jian Dai, Depei Qian, Weiwei Fang, Yi Liu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2010

2009

RRDD: Receiver-oriented Robust Data Delivery in Mobile Sensor Networks.

Weiwei Fang, Xin Zhao, Tianshu Chu, Yuan An, Yi Liu, Depei Qian

Proceedings of the IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, 2009