Tianshu Chu - RankMe

65 papers A* 5B 3C 5Misc 1Journal 30Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Momentum and minibatch coupling for stochastic bilevel optimization with optimal sample complexity. Oper. Res. Lett. Tianshu Chu, Peixuan Yang
2025	J	`jnl`	A Provably Convergent Plug-and-Play Framework for Stochastic Bilevel Optimization. CoRR Tianshu Chu, Dachuan Xu, Wei Yao, Chengming Yu, Jin Zhang
2025	J	`jnl`	A visual balance calculation method for wemaps combining fuzzy clustering and multi-factor driving. Earth Sci. Informatics Rongjuan Ma, Haowen Yan, Xiaomin Lu, Zhaoyang Hou, Xiaolong Wang, Pengbo Li, Tianshu Chu, Fukang Mao
2025	A*	`conf`	Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning. EMNLP Wenbin Hu, Haoran Li, Huihao Jing, Qi Hu, Ziqian Zeng, Sirui Han, Heli Xu, Tianshu Chu, Peizhao Hu, Yangqiu Song
2025	J	`jnl`	Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning. CoRR Wenbin Hu, Haoran Li, Huihao Jing, Qi Hu, Ziqian Zeng, Sirui Han, Heli Xu, Tianshu Chu, Peizhao Hu, Yangqiu Song
2025	—	`conf`	Energy Consumption Minimization Resource Allocation for RSMA in Cell-Free Massive MIMO Systems with Imperfect CSI. ICC Tianshu Chu, Chenxi Zhao, Min Sheng, Junyu Liu, Jiandong Li
2025	A*	`conf`	MCIP: Protecting MCP Safety via Model Contextual Integrity Protocol. EMNLP Huihao Jing, Haoran Li, Wenbin Hu, Qi Hu, Heli Xu, Tianshu Chu, Peizhao Hu, Yangqiu Song
2025	J	`jnl`	MCIP: Protecting MCP Safety via Model Contextual Integrity Protocol. CoRR Huihao Jing, Haoran Li, Wenbin Hu, Qi Hu, Heli Xu, Tianshu Chu, Peizhao Hu, Yangqiu Song
2025	—	`conf`	PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance. ACL (1) Haoran Li, Wenbin Hu, Huihao Jing, Yulin Chen, Qi Hu, Sirui Han, Tianshu Chu, Peizhao Hu, Yangqiu Song
2025	J	`jnl`	PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance. CoRR Haoran Li, Wenbin Hu, Huihao Jing, Yulin Chen, Qi Hu, Sirui Han, Tianshu Chu, Peizhao Hu, Yangqiu Song
2025	—	`conf`	Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory. NAACL (Long Papers) Haoran Li, Wei Fan, Yulin Chen, Cheng Jiayang, Tianshu Chu, Xuebing Zhou, Peizhao Hu, Yangqiu Song
2024	J	`jnl`	A similarity calculation model of road network and its application in map generalization quality evaluation. Spatial Cogn. Comput. Tianshu Chu, Haowen Yan, Pengbo Li, Xiaomin Lu, Xiaorong Gao
2024	—	`conf`	An Effective Method for Detecting Violation of Helmet Rule for Motorcyclists. CVPR Workshops Yunliang Chen, Wei Zhou, Zicen Zhou, Bing Ma, Chen Wang, Yingda Shang, An Guo, Tianshu Chu
2024	J	`jnl`	Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion. IEEE Trans. Circuits Syst. Video Technol. Zuopeng Yang, Tianshu Chu, Xin Lin, Erdun Gao, Daqing Liu, Jie Yang, Chaoyue Wang
2024	J	`jnl`	Energy-Efficient Power Control for Multiple-Task Split Inference in UAVs: A Tiny Learning-Based Approach. CoRR Chenxi Zhao, Min Sheng, Junyu Liu, Tianshu Chu, Jiandong Li
2024	J	`jnl`	Energy-Efficient Power Control for Multiple-Task Split Inference in UAVs: A Tiny Learning-Based Approach. IEEE Internet Things J. Chenxi Zhao, Min Sheng, Junyu Liu, Tianshu Chu, Jiandong Li
2024	J	`jnl`	Improving the Post-Training Neural Network Quantization by Prepositive Feature Quantization. IEEE Trans. Circuits Syst. Video Technol. Tianshu Chu, Zuopeng Yang, Xiaolin Huang
2024	—	`conf`	Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19. ICMHI David Fong, Tianshu Chu, Matthew Heflin, Xiaosi Gu, Oshani Seneviratne
2024	J	`jnl`	Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19. CoRR David Fong, Tianshu Chu, Matthew Heflin, Xiaosi Gu, Oshani Seneviratne
2024	J	`jnl`	Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory. CoRR Haoran Li, Wei Fan, Yulin Chen, Jiayang Cheng, Tianshu Chu, Xuebing Zhou, Peizhao Hu, Yangqiu Song
2024	A*	`conf`	SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity. ICML Tianshu Chu, Dachuan Xu, Wei Yao, Jin Zhang
2024	J	`jnl`	SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity. CoRR Tianshu Chu, Dachuan Xu, Wei Yao, Jin Zhang
2023	J	`jnl`	Eliminating Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion. CoRR Zuopeng Yang, Tianshu Chu, Xin Lin, Erdun Gao, Daqing Liu, Jie Yang, Chaoyue Wang
2023	J	`jnl`	Improving the adversarial robustness of quantized neural networks via exploiting the feature diversity. Pattern Recognit. Lett. Tianshu Chu, Kun Fang, Jie Yang, Xiaolin Huang
2023	J	`jnl`	Stereoscopic Image Quality Evaluation Method for Visual Communication Design. IEEE Access Xu Han, Qiuyue Shan, Tianshu Chu
2022	J	`jnl`	Human-Centric Image Captioning. Pattern Recognit. Zuopeng Yang, Pengbo Wang, Tianshu Chu, Jie Yang
2021	B	`conf`	Improving The Robustness Of Convolutional Neural Networks Via Sketch Attention. ICIP Tianshu Chu, Zuopeng Yang, Jie Yang, Xiaolin Huang
2021	—	`conf`	Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning. MIDL Tianshu Chu, Xinmeng Li, Huy V. Vo, Ronald M. Summers, Elena Sizikova
2021	J	`jnl`	Mixed-precision quantized neural networks with progressively decreasing bitwidth. Pattern Recognit. Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang
2021	J	`jnl`	SOSPCNN: Structurally Optimized Stochastic Pooling Convolutional Neural Network for Tetralogy of Fallot Recognition. Wirel. Commun. Mob. Comput. Shui-Hua Wang, Kaihong Wu, Tianshu Chu, Steven Lawrence Fernandes, Qinghua Zhou, Yu-Dong Zhang, Jian Sun
2020	—	`conf`	Multi-Agent Bootstrapped Deep Q-Network for Large-Scale Traffic Signal Control. CCTA Tian Tan, Tianshu Chu, Jie Wang
2020	J	`jnl`	Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. Tianshu Chu, Jie Wang, Lara Codecà, Zhaojian Li
2020	A*	`conf`	Multi-agent Reinforcement Learning for Networked System Control. ICLR Tianshu Chu, Sandeep Chinchali, Sachin Katti
2020	J	`jnl`	Multi-agent Reinforcement Learning for Networked System Control. CoRR Tianshu Chu, Sandeep Chinchali, Sachin Katti
2020	J	`jnl`	PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control. CoRR Dong Chen, Zhaojian Li, Tianshu Chu, Rui Yao, Feng Qiu, Kaixiang Lin
2019	—	`conf`	AFM Calibration of Nano-friction through Estimating Meniscus Water Membrane Contour between Single Polystyrene Nano-particle and Silicon Surface. ROBIO Shuai Yuan, Tianshu Chu, Liyong Ma, Jing Hou, Junhai Wang
2019	—	`conf`	Dynamics-Enabled Safe Deep Reinforcement Learning: Case Study on Active Suspension Control. CCTA Zhaojian Li, Tianshu Chu, Uros Kalabic
2019	—	`conf`	Large-scale traffic control using autonomous vehicles and decentralized deep reinforcement learning. ITSC Harshal Maske, Tianshu Chu, Uros Kalabic
2019	J	`jnl`	Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection. CoRR Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang
2019	—	`conf`	Model-based deep reinforcement learning for CACC in mixed-autonomy vehicle platoon. CDC Tianshu Chu, Uros Kalabic
2019	J	`jnl`	Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control. CoRR Tianshu Chu, Jie Wang, Lara Codecà, Zhaojian Li
2019	—	`conf`	Study of Virus Infection Procedure using Atomic Force Microscope. ROBIO Shuai Yuan, Likai Liu, Bin Liu, Tianshu Chu, Chuang Zhang, Wenxue Wang
2018	A*	`conf`	Cellular Network Traffic Scheduling With Deep Reinforcement Learning. AAAI Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti
2018	J	`jnl`	Knowledge source strategy and enterprise innovation performance: dynamic analysis based on machine learning. Technol. Anal. Strateg. Manag. Xin Jin, Jie Wang, Tianshu Chu, Jinghua Xia
2018	Misc	`conf`	Neural Networks Meet Physical Networks: Distributed Inference Between Edge Devices and the Cloud. HotNets Sandeep P. Chinchali, Eyal Cidon, Evgenya Pergament, Tianshu Chu, Sachin Katti
2018	C	`conf`	Safe Reinforcement Learning: Learning with Supervision Using a Constraint-Admissible Set. ACC Zhaojian Li, Uros Kalabic, Tianshu Chu
2018	B	`conf`	Supporting Chinese Character Educational Interfaces with Richer Assessment Feedback through Sketch Recognition. Graphics Interface Tianshu Chu, Paul Taele, Tracy Hammond
2018	J	`jnl`	Training Drift Counteraction Optimal Control Policies Using Reinforcement Learning: An Adaptive Cruise Control Example. IEEE Trans. Intell. Transp. Syst. Zhaojian Li, Tianshu Chu, Ilya V. Kolmanovsky, Xiang Yin
2017	J	`jnl`	Cloud Resource Allocation for Cloud-Based Automotive Applications. CoRR Zhaojian Li, Tianshu Chu, Ilya V. Kolmanovsky, Xiang Yin, Xunyuan Yin
2017	C	`conf`	Traffic signal control by distributed Reinforcement Learning with min-sum communication. ACC Tianshu Chu, Jie Wang
2016	—	`conf`	An adaptive online learning framework for practical breast cancer diagnosis. Computer-Aided Diagnosis Tianshu Chu, Jie Wang, Jiayu Chen
2016	—	`conf`	Large-Scale Traffic Grid Signal Control Using Decentralized Fuzzy Reinforcement Learning. IntelliSys (1) Tian Tan, Tianshu Chu, Bo Peng, Jie Wang
2016	—	`conf`	Large-scale multi-agent reinforcement learning using image-based state representation. CDC Tianshu Chu, Shuhui Qu, Jie Wang
2016	C	`conf`	Large-scale traffic grid signal control with regional Reinforcement Learning. ACC Tianshu Chu, Shuhui Qu, Jie Wang
2015	C	`conf`	A centralized reinforcement learning approach for proactive scheduling in manufacturing. ETFA Shuhui Qu, Tianshu Chu, Jie Wang, James O. Leckie, Weiwen Jian
2015	C	`conf`	Traffic signal control with macroscopic fundamental diagrams. ACC Tianshu Chu, Jie Wang
2014	—	`conf`	Comuptional reasoning and learning for smart manufacturing under realistic conditions. BESC Shuhui Qu, Raymond Jian, Tianshu Chu, Jie Wang, Tian Tan
2014	—	`conf`	Kernel-based reinforcement learning for traffic signal control with adaptive feature selection. CDC Tianshu Chu, Jie Wang, Jian Cao
2012	—	`conf`	An Ontology-based Service Model for Smart Infrastructure Design. CDC Tianshu Chu, Jie Wang, James O. Leckie
2010	—	`conf`	A Fair Thread-Aware Memory Scheduling Algorithm for Chip Multiprocessor. ICA3PP (1) Danfeng Zhu, Rui Wang, Hui Wang, Depei Qian, Zhongzhi Luan, Tianshu Chu
2010	—	`conf`	A Novel Scheme for High Performance Finite-Difference Time-Domain (FDTD) Computations Based on GPU. ICA3PP (1) Tianshu Chu, Jian Dai, Depei Qian, Weiwei Fang, Yi Liu
2010	—	`conf`	Accelerating Dock6's Amber Scoring with Graphic Processing Unit. ICA3PP (1) Hailong Yang, Bo Li, Yongjian Wang, Zhongzhi Luan, Depei Qian, Tianshu Chu
2010	J	`jnl`	Congestion avoidance, detection and alleviation in wireless sensor networks. J. Zhejiang Univ. Sci. C Weiwei Fang, Jiming Chen, Lei Shu, Tianshu Chu, Depei Qian
2010	J	`jnl`	Quantum mechanics and quasiclassical study of the H/D+FO -> OH/OD+F, HF/DF+O reactions: Chemical stereodynamics. J. Comput. Chem. Tianshu Chu
2009	B	`conf`	RRDD: Receiver-oriented Robust Data Delivery in Mobile Sensor Networks. MASS Weiwei Fang, Xin Zhao, Tianshu Chu, Yuan An, Yi Liu, Depei Qian