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Tianshu Chu
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2020 – today
- 2024
- [j14]Chenxi Zhao
, Min Sheng
Energy-Efficient Power Control for Multiple-Task Split Inference in UAVs: A Tiny Learning-Based Approach. IEEE Internet Things J. 11(12): 21146-21157 (2024) - [j13]Tianshu Chu
A similarity calculation model of road network and its application in map generalization quality evaluation. Spatial Cogn. Comput. 24(1): 6-31 (2024) - [j12]Zuopeng Yang
Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion. IEEE Trans. Circuits Syst. Video Technol. 34(2): 1316-1320 (2024) - [j11]Tianshu Chu
Improving the Post-Training Neural Network Quantization by Prepositive Feature Quantization. IEEE Trans. Circuits Syst. Video Technol. 34(4): 3056-3060 (2024) - [c30]Yunliang Chen, Wei Zhou, Zicen Zhou, Bing Ma, Chen Wang, Yingda Shang, An Guo, Tianshu Chu:
An Effective Method for Detecting Violation of Helmet Rule for Motorcyclists. CVPR Workshops 2024: 7085-7090 - [c29]David Fong
Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19. ICMHI 2024: 325-331 - [c28]Tianshu Chu, Dachuan Xu, Wei Yao, Jin Zhang:
SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity. ICML 2024 - [i10]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 abs/2401.00445 (2024) - [i9]David Fong, Tianshu Chu, Matthew Heflin, Xiaosi Gu, Oshani Seneviratne:
Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19. CoRR abs/2403.06033 (2024) - [i8]Tianshu Chu, Dachuan Xu, Wei Yao, Jin Zhang:
SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity. CoRR abs/2405.18777 (2024) - [i7]Haoran Li, Wei Fan, Yulin Chen, Jiayang Cheng, Tianshu Chu, Xuebing Zhou, Peizhao Hu, Yangqiu Song:
Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory. CoRR abs/2408.10053 (2024) - 2023
- [j10]Xu Han
Stereoscopic Image Quality Evaluation Method for Visual Communication Design. IEEE Access 11: 134155-134165 (2023) - [j9]Tianshu Chu
Improving the adversarial robustness of quantized neural networks via exploiting the feature diversity. Pattern Recognit. Lett. 176: 117-122 (2023) - [i6]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 abs/2302.02394 (2023) - 2022
- [j8]Zuopeng Yang, Pengbo Wang, Tianshu Chu, Jie Yang:
Human-Centric Image Captioning. Pattern Recognit. 126: 108545 (2022) - 2021
- [j7]Tianshu Chu
Mixed-precision quantized neural networks with progressively decreasing bitwidth. Pattern Recognit. 111: 107647 (2021) - [j6]Shui-Hua Wang, Kaihong Wu, Tianshu Chu, Steven Lawrence Fernandes, Qinghua Zhou, Yu-Dong Zhang
SOSPCNN: Structurally Optimized Stochastic Pooling Convolutional Neural Network for Tetralogy of Fallot Recognition. Wirel. Commun. Mob. Comput. 2021: 5792975:1-5792975:17 (2021) - [c27]Tianshu Chu, Zuopeng Yang, Jie Yang, Xiaolin Huang:
Improving The Robustness Of Convolutional Neural Networks Via Sketch Attention. ICIP 2021: 869-873 - [c26]Tianshu Chu, Xinmeng Li, Huy V. Vo, Ronald M. Summers, Elena Sizikova:
Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning. MIDL 2021: 60-73 - 2020
- [j5]Tianshu Chu
Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. 21(3): 1086-1095 (2020) - [c25]Tian Tan, Tianshu Chu, Jie Wang:
Multi-Agent Bootstrapped Deep Q-Network for Large-Scale Traffic Signal Control. CCTA 2020: 358-365 - [c24]Tianshu Chu, Sandeep Chinchali, Sachin Katti:
Multi-agent Reinforcement Learning for Networked System Control. ICLR 2020 - [i5]Tianshu Chu, Sandeep Chinchali, Sachin Katti:
Multi-agent Reinforcement Learning for Networked System Control. CoRR abs/2004.01339 (2020) - [i4]Dong Chen, Zhaojian Li, Tianshu Chu, Rui Yao, Feng Qiu, Kaixiang Lin:
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control. CoRR abs/2011.12354 (2020)
2010 – 2019
- 2019
- [c23]Zhaojian Li, Tianshu Chu, Uros Kalabic:
Dynamics-Enabled Safe Deep Reinforcement Learning: Case Study on Active Suspension Control. CCTA 2019: 585-591 - [c22]Tianshu Chu, Uros Kalabic:
Model-based deep reinforcement learning for CACC in mixed-autonomy vehicle platoon. CDC 2019: 4079-4084 - [c21]Harshal Maske, Tianshu Chu, Uros Kalabic:
Large-scale traffic control using autonomous vehicles and decentralized deep reinforcement learning. ITSC 2019: 3816-3821 - [c20]Shuai Yuan, Likai Liu, Bin Liu, Tianshu Chu, Chuang Zhang, Wenxue Wang:
Study of Virus Infection Procedure using Atomic Force Microscope. ROBIO 2019: 1526-1531 - [c19]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: 2351-2356 - [i3]Tianshu Chu, Jie Wang, Lara Codecà, Zhaojian Li:
Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control. CoRR abs/1903.04527 (2019) - [i2]Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang:
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection. CoRR abs/1912.12656 (2019) - 2018
- [j4]Xin Jin
Knowledge source strategy and enterprise innovation performance: dynamic analysis based on machine learning. Technol. Anal. Strateg. Manag. 30(1): 71-83 (2018) - [j3]Zhaojian Li
Training Drift Counteraction Optimal Control Policies Using Reinforcement Learning: An Adaptive Cruise Control Example. IEEE Trans. Intell. Transp. Syst. 19(9): 2903-2912 (2018) - [c18]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: 766-774 - [c17]Zhaojian Li, Uros Kalabic, Tianshu Chu:
Safe Reinforcement Learning: Learning with Supervision Using a Constraint-Admissible Set. ACC 2018: 6390-6395 - [c16]Tianshu Chu, Paul Taele, Tracy Hammond:
Supporting Chinese Character Educational Interfaces with Richer Assessment Feedback through Sketch Recognition. Graphics Interface 2018: 50-57 - [c15]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: 50-56 - 2017
- [c14]Tianshu Chu, Jie Wang:
Traffic signal control by distributed Reinforcement Learning with min-sum communication. ACC 2017: 5095-5100 - [i1]Zhaojian Li, Tianshu Chu, Ilya V. Kolmanovsky
Cloud Resource Allocation for Cloud-Based Automotive Applications. CoRR abs/1701.04537 (2017) - 2016
- [c13]Tianshu Chu, Shuhui Qu, Jie Wang:
Large-scale traffic grid signal control with regional Reinforcement Learning. ACC 2016: 815-820 - [c12]Tianshu Chu, Shuhui Qu, Jie Wang:
Large-scale multi-agent reinforcement learning using image-based state representation. CDC 2016: 7592-7597 - [c11]Tian Tan, Tianshu Chu, Bo Peng, Jie Wang:
Large-Scale Traffic Grid Signal Control Using Decentralized Fuzzy Reinforcement Learning. IntelliSys (1) 2016: 652-662 - [c10]Tianshu Chu, Jie Wang, Jiayu Chen:
An adaptive online learning framework for practical breast cancer diagnosis. Computer-Aided Diagnosis 2016: 978524 - 2015
- [c9]Tianshu Chu, Jie Wang:
Traffic signal control with macroscopic fundamental diagrams. ACC 2015: 4380-4385 - [c8]Shuhui Qu, Tianshu Chu, Jie Wang, James O. Leckie, Weiwen Jian:
A centralized reinforcement learning approach for proactive scheduling in manufacturing. ETFA 2015: 1-8 - 2014
- [c7]Shuhui Qu, Raymond Jian, Tianshu Chu, Jie Wang, Tian Tan:
Comuptional reasoning and learning for smart manufacturing under realistic conditions. BESC 2014: 182-189 - [c6]Tianshu Chu, Jie Wang, Jian Cao:
Kernel-based reinforcement learning for traffic signal control with adaptive feature selection. CDC 2014: 1277-1282 - 2012
- [c5]Tianshu Chu, Jie Wang, James O. Leckie:
An Ontology-based Service Model for Smart Infrastructure Design. CDC 2012: 17-24 - 2010
- [j2]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): 1385-1396 (2010) - [j1]Weiwei Fang, Jiming Chen, Lei Shu
Congestion avoidance, detection and alleviation in wireless sensor networks. J. Zhejiang Univ. Sci. C 11(1): 63-73 (2010) - [c4]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: 174-185 - [c3]Hailong Yang, Bo Li, Yongjian Wang, Zhongzhi Luan, Depei Qian, Tianshu Chu:
Accelerating Dock6's Amber Scoring with Graphic Processing Unit. ICA3PP (1) 2010: 404-415 - [c2]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: 441-453
2000 – 2009
- 2009
- [c1]Weiwei Fang, Xin Zhao, Tianshu Chu, Yuan An, Yi Liu, Depei Qian:
RRDD: Receiver-oriented Robust Data Delivery in Mobile Sensor Networks. MASS 2009: 876-881
Coauthor Index
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last updated on 2024-11-27 20:30 CET by the dblp team
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