Tianshu Chu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 37

Top Topics

Breast Cancer Diagnosis

Traffic Signal Control

Reinforcement Learning

Convolutional Neural Networks

Top Venues

Publications

Chenxi Zhao, Min Sheng, Junyu Liu, Tianshu Chu, Jiandong Li
Energy-Efficient Power Control for Multiple-Task Split Inference in UAVs: A Tiny Learning-Based Approach. CoRR (2024)
Tianshu Chu, Haowen Yan, Pengbo Li, Xiaomin Lu, Xiaorong Gao
A similarity calculation model of road network and its application in map generalization quality evaluation. Spatial Cogn. Comput. 24 (1) (2024)
Zuopeng Yang, Tianshu Chu, Xin Lin, Erdun Gao, Daqing Liu, Jie Yang, Chaoyue Wang
Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion. IEEE Trans. Circuits Syst. Video Technol. 34 (2) (2024)
Tianshu Chu, Kun Fang, Jie Yang, Xiaolin Huang
Improving the adversarial robustness of quantized neural networks via exploiting the feature diversity. Pattern Recognit. Lett. 176 (2023)
Zuopeng Yang, Tianshu Chu, Xin Lin, Erdun Gao, Daqing Liu, Jie Yang, Chaoyue Wang
Eliminating Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion. CoRR (2023)
Xu Han, Qiuyue Shan, Tianshu Chu
Stereoscopic Image Quality Evaluation Method for Visual Communication Design. IEEE Access 11 (2023)
Zuopeng Yang, Pengbo Wang, Tianshu Chu, Jie Yang
Human-Centric Image Captioning. Pattern Recognit. 126 (2022)
Shui-Hua Wang, Kaihong Wu, Tianshu Chu, Steven L. Fernandes, Qinghua Zhou, Yu-Dong Zhang, Jian Sun
SOSPCNN: Structurally Optimized Stochastic Pooling Convolutional Neural Network for Tetralogy of Fallot Recognition. Wirel. Commun. Mob. Comput. 2021 (2021)
Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang
Mixed-precision quantized neural networks with progressively decreasing bitwidth. Pattern Recognit. 111 (2021)
Tianshu Chu, Zuopeng Yang, Jie Yang, Xiaolin Huang
Improving The Robustness Of Convolutional Neural Networks Via Sketch Attention. ICIP (2021)
Tianshu Chu, Xinmeng Li, Huy V. Vo, Ronald M. Summers, Elena Sizikova
Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning. MIDL (2021)
Tianshu Chu, Jie Wang, Lara Codecà, Zhaojian Li
Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. 21 (3) (2020)
Tianshu Chu, Sandeep Chinchali, Sachin Katti
Multi-agent Reinforcement Learning for Networked System Control. ICLR (2020)
Tianshu Chu, Sandeep Chinchali, Sachin Katti
Multi-agent Reinforcement Learning for Networked System Control. CoRR (2020)
Dong Chen, Zhaojian Li, Tianshu Chu, Rui Yao, Feng Qiu, Kaixiang Lin
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control. CoRR (2020)
Tian Tan, Tianshu Chu, Jie Wang
Multi-Agent Bootstrapped Deep Q-Network for Large-Scale Traffic Signal Control. CCTA (2020)
Tianshu Chu, Uros Kalabic
Model-based deep reinforcement learning for CACC in mixed-autonomy vehicle platoon. CDC (2019)
Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection. CoRR (2019)
Zhaojian Li, Tianshu Chu, Uros Kalabic
Dynamics-Enabled Safe Deep Reinforcement Learning: Case Study on Active Suspension Control. CCTA (2019)
Shuai Yuan, Tianshu Chu, Liyong Ma, Jing Hou, Junhai Wang
AFM Calibration of Nano-friction through Estimating Meniscus Water Membrane Contour between Single Polystyrene Nano-particle and Silicon Surface. ROBIO (2019)
Harshal Maske, Tianshu Chu, Uros Kalabic
Large-scale traffic control using autonomous vehicles and decentralized deep reinforcement learning. ITSC (2019)
Shuai Yuan, Likai Liu, Bin Liu, Tianshu Chu, Chuang Zhang, Wenxue Wang
Study of Virus Infection Procedure using Atomic Force Microscope. ROBIO (2019)
Tianshu Chu, Jie Wang, Lara Codecà, Zhaojian Li
Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control. CoRR (2019)
Zhaojian Li, Uros Kalabic, Tianshu Chu
Safe Reinforcement Learning: Learning with Supervision Using a Constraint-Admissible Set. ACC (2018)
Tianshu Chu, Paul Taele, Tracy Hammond
Supporting Chinese Character Educational Interfaces with Richer Assessment Feedback through Sketch Recognition. Graphics Interface (2018)
Xin Jin, Jie Wang, Tianshu Chu, Jinghua Xia
Knowledge source strategy and enterprise innovation performance: dynamic analysis based on machine learning. Technol. Anal. Strateg. Manag. 30 (1) (2018)
Zhaojian Li, Tianshu Chu, Ilya V. Kolmanovsky, Xiang Yin
Training Drift Counteraction Optimal Control Policies Using Reinforcement Learning: An Adaptive Cruise Control Example. IEEE Trans. Intell. Transp. Syst. 19 (9) (2018)
Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti
Cellular Network Traffic Scheduling With Deep Reinforcement Learning. AAAI (2018)
Sandeep P. Chinchali, Eyal Cidon, Evgenya Pergament, Tianshu Chu, Sachin Katti
Neural Networks Meet Physical Networks: Distributed Inference Between Edge Devices and the Cloud. HotNets (2018)
Tianshu Chu, Jie Wang
Traffic signal control by distributed Reinforcement Learning with min-sum communication. ACC (2017)
Zhaojian Li, Tianshu Chu, Ilya V. Kolmanovsky, Xiang Yin, Xunyuan Yin
Cloud Resource Allocation for Cloud-Based Automotive Applications. CoRR (2017)
Tian Tan, Tianshu Chu, Bo Peng, Jie Wang
Large-Scale Traffic Grid Signal Control Using Decentralized Fuzzy Reinforcement Learning. IntelliSys (1) (2016)
Tianshu Chu, Shuhui Qu, Jie Wang
Large-scale traffic grid signal control with regional Reinforcement Learning. ACC (2016)
Tianshu Chu, Jie Wang, Jiayu Chen
An adaptive online learning framework for practical breast cancer diagnosis. Medical Imaging: Computer-Aided Diagnosis (2016)
Tianshu Chu, Shuhui Qu, Jie Wang
Large-scale multi-agent reinforcement learning using image-based state representation. CDC (2016)
Tianshu Chu, Jie Wang
Traffic signal control with macroscopic fundamental diagrams. ACC (2015)
Shuhui Qu, Tianshu Chu, Jie Wang, James O. Leckie, Weiwen Jian
A centralized reinforcement learning approach for proactive scheduling in manufacturing. ETFA (2015)
Shuhui Qu, Raymond Jian, Tianshu Chu, Jie Wang, Tian Tan
Comuptional reasoning and learning for smart manufacturing under realistic conditions. BESC (2014)
Tianshu Chu, Jie Wang, Jian Cao
Kernel-based reinforcement learning for traffic signal control with adaptive feature selection. CDC (2014)
Tianshu Chu, Jie Wang, James O. Leckie
An Ontology-based Service Model for Smart Infrastructure Design. CDC (2012)
Hailong Yang, Bo Li, Yongjian Wang, Zhongzhi Luan, Depei Qian, Tianshu Chu
Accelerating Dock6's Amber Scoring with Graphic Processing Unit. ICA3PP (1) (2010)
Weiwei Fang, Jiming Chen, Lei Shu, Tianshu Chu, Depei Qian
Congestion avoidance, detection and alleviation in wireless sensor networks. J. Zhejiang Univ. Sci. C 11 (1) (2010)
Tianshu Chu
Quantum mechanics and quasiclassical study of the H/D+FO -> OH/OD+F, HF/DF+O reactions: Chemical stereodynamics. J. Comput. Chem. 31 (7) (2010)
Tianshu Chu, Jian Dai, Depei Qian, Weiwei Fang, Yi Liu
A Novel Scheme for High Performance Finite-Difference Time-Domain (FDTD) Computations Based on GPU. ICA3PP (1) (2010)
Danfeng Zhu, Rui Wang, Hui Wang, Depei Qian, Zhongzhi Luan, Tianshu Chu
A Fair Thread-Aware Memory Scheduling Algorithm for Chip Multiprocessor. ICA3PP (1) (2010)
Weiwei Fang, Xin Zhao, Tianshu Chu, Yuan An, Yi Liu, Depei Qian
RRDD: Receiver-oriented Robust Data Delivery in Mobile Sensor Networks. MASS (2009)