Chao Qu

According to our database, Chao Qu authored at least 81 papers between 2006 and 2024.

Collaborative distances:

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

2024

Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding.

Xiaoyu Tan, Chao Qu, Junwu Xiong, James Y. Zhang, Xihe Qiu, Yaochu Jin

IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

Frequency-Aware Degradation Modeling for Real-World Thermal Image Super-Resolution.

Chao Qu, Xiaoyu Chen, Qihan Xu, Jing Han

Entropy, March, 2024

CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks.

Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Chao Qu, Jing Pan, Yuan Cheng, Yinghui Xu, Wei Chu

CoRR, 2024

Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though.

Xiaoyu Tan, Yongxin Deng, Xihe Qiu, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi

CoRR, 2024

Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models.

Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu, Yujie Xiong, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi

CoRR, 2024

Multifunctional robot based on multimodal brain-machine interface.

Nianming Ban, Shanghong Xie, Chao Qu, Xuening Chen, Jiahui Pan

Biomed. Signal Process. Control., 2024

Subequivariant Reinforcement Learning Framework for Coordinated Motion Control.

Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints.

Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Hybrid Directional Graph Neural Network for Molecules.

Junyi An, Chao Qu, Zhipeng Zhou, Fenglei Cao, Yinghui Xu, Yuan Qi, Furao Shen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average.

Shaojie Shi, Xiaoyu Tan, Xihe Qiu, Chao Qu, Kexin Nie, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

ILTS: Inducing Intention Propagation in Decentralized Multi-Agent Tasks with Large Language Models.

Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction.

Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

BSGAT: A Graph Attention Network for Binary Code Similarity Detection.

Chao Qu, Rongqian Zhou, Ke Liu, Zhuo Yan, Haipeng Qu

Proceedings of the 28th IEEE Pacific Rim International Symposium on Dependable Computing, 2023

Provably Invariant Learning without Domain Information.

Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi

Proceedings of the International Conference on Machine Learning, 2023

Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification.

Xihe Qiu, Shaojie Shi, Xiaoyu Tan, Chao Qu, Zhijun Fang, Hailing Wang, Yongbin Gao, Peixia Wu, Huawei Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness.

Xiaoyu Tan, Shaojie Shi, Xihe Qiu, Chao Qu, Zhenting Qi, Yinghui Xu, Yuan Qi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching.

Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels.

Zhenting Qi, Xiaoyu Tan, Chao Qu, Yinghui Xu, Yuan Qi

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes.

Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Large-Scale Autonomous Flight With Real-Time Semantic SLAM Under Dense Forest Canopy.

Xu Liu, Guilherme V. Nardari, Fernando Cladera Ojeda, Yuezhan Tao, Alex Zhou, Thomas Donnelly, Chao Qu, Steven W. Chen, Roseli A. F. Romero, Camillo J. Taylor, Vijay Kumar

IEEE Robotics Autom. Lett., 2022

Challenges and Opportunities for Autonomous Micro-UAVs in Precision Agriculture.

Xu Liu, Steven W. Chen, Guilherme V. Nardari, Chao Qu, Fernando Cladera Ojeda, Camillo J. Taylor, Vijay Kumar

IEEE Micro, 2022

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud.

Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

DSOL: A Fast Direct Sparse Odometry Scheme.

Chao Qu, Shreyas S. Shivakumar, Ian D. Miller, Camillo J. Taylor

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

A Hybrid Brain-Computer Interface for Smart Car Control.

Nianming Ban, Chao Qu, Daqin Feng, Jiahui Pan

Proceedings of the Human Brain and Artificial Intelligence - Third International Workshop, 2022

LLOL: Low-Latency Odometry for Spinning Lidars.

Chao Qu, Shreyas S. Shivakumar, Wenxin Liu, Camillo J. Taylor

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Bayesian Deep Basis Fitting for Depth Completion with Uncertainty.

Chao Qu, Wenxin Liu, Camillo J. Taylor

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

An adaptive trajectory planning algorithm for robotic belt grinding of blade leading and trailing edges based on material removal profile model.

Yuanjian Lv, Zhen Peng, Chao Qu, Dahu Zhu

Robotics Comput. Integr. Manuf., 2020

SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory.

Steven W. Chen, Guilherme V. Nardari, Elijah S. Lee, Chao Qu, Xu Liu, Roseli A. Francelin Romero, Vijay Kumar

IEEE Robotics Autom. Lett., 2020

Model Embedding Model-Based Reinforcement Learning.

Xiaoyu Tan, Chao Qu, Junwu Xiong, James Zhang

CoRR, 2020

Intention Propagation for Multi-agent Reinforcement Learning.

Chao Qu, Hui Li, Chang Liu, Junwu Xiong, James Zhang, Wei Chu, Yuan Qi, Le Song

CoRR, 2020

Hard exudate detection based on deep model learned information and multi-feature joint representation for diabetic retinopathy screening.

Hui Wang, Guohui Yuan, Xuegong Zhao, Lingbing Peng, Zhuoran Wang, Yanmin He, Chao Qu, Zhenming Peng

Comput. Methods Programs Biomed., 2020

Depth Completion via Deep Basis Fitting.

Chao Qu, Ty Nguyen, Camillo J. Taylor

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning.

Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Nonlinear Distributional Gradient Temporal-Difference Learning.

Chao Qu, Shie Mannor, Huan Xu

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

A Hypergraph-Based Blockchain Model and Application in Internet of Things-Enabled Smart Homes.

Chao Qu, Ming Tao, Ruifen Yuan

Sensors, 2018

Blockchain Based Credibility Verification Method for IoT Entities.

Chao Qu, Ming Tao, Jie Zhang, Xiaoyu Hong, Ruifen Yuan

Secur. Commun. Networks, 2018

Fast, autonomous flight in GPS-denied and cluttered environments.

Kartik Mohta, Michael Watterson, Yash Mulgaonkar, Sikang Liu, Chao Qu, Anurag Makineni, Kelsey Saulnier, Ke Sun, Alex Zihao Zhu, Jeffrey A. Delmerico, Konstantinos Karydis, Nikolay Atanasov, Giuseppe Loianno, Davide Scaramuzza, Kostas Daniilidis, Camillo Jose Taylor, Vijay Kumar

J. Field Robotics, 2018

UOSM: user-oriented semi-automatic method of constructing domain ontology.

Chao Qu, Fagui Liu, Dacheng Deng, Ruifen Yuan

Int. J. High Perform. Comput. Netw., 2018

Projection-Free Algorithms in Statistical Estimation.

Yan Li, Chao Qu, Huan Xu

CoRR, 2018

Communication-Efficient Projection-Free Algorithm for Distributed Optimization.

Yan Li, Chao Qu, Huan Xu

CoRR, 2018

Fast Global Convergence via Landscape of Empirical Loss.

Chao Qu, Yan Li, Huan Xu

CoRR, 2018

Social Connection Aware Team Formation for Participatory Tasks.

Xiaoyan Yin, Chao Qu, Qianqian Wang, Fan Wu, Baoying Liu, Feng Chen, Xiaojiang Chen, Dingyi Fang

IEEE Access, 2018

Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion.

Xu Liu, Steven W. Chen, Shreyas Aditya, Nivedha Sivakumar, Sandeep Dcunha, Chao Qu, Camillo J. Taylor, Jnaneshwar Das, Vijay Kumar

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Non-convex Conditional Gradient Sliding.

Chao Qu, Yan Li, Huan Xu

Proceedings of the 35th International Conference on Machine Learning, 2018

Hybrid Cloud Architecture for Cross-Platform Interoperability in Smart Homes.

Ming Tao, Chao Qu, Wenhong Wei, Bin Zhou, Shuqiang Huang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

A Semantic Web Based Intelligent IoT Model.

Chao Qu, Ming Tao, Jie Zhang, Xiaoyu Hong, Ruifen Yuan

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

2017

Counting Apples and Oranges With Deep Learning: A Data-Driven Approach.

Steven W. Chen, Shreyas S. Shivakumar, Sandeep Dcunha, Jnaneshwar Das, Edidiong Okon, Chao Qu, Camillo J. Taylor, Vijay Kumar

IEEE Robotics Autom. Lett., 2017

Linear convergence of SDCA in statistical estimation.

Chao Qu, Huan Xu

CoRR, 2017

Vehicular Data Cloud Platform with 5G Support: Architecture, Services, and Challenges.

Ming Tao, Jiaxing Li, Jie Zhang, Xiaoyu Hong, Chao Qu

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016

An OWL-S based specification model of dynamic entity services for Internet of Things.

Chao Qu, Fagui Liu, Ming Tao, Dacheng Deng

J. Ambient Intell. Humaniz. Comput., 2016

Design and application of top ontologies for the transactions on IoT.

Chao Qu, Ming Tao, Fagui Liu, Ruifen Yuan

Int. J. Embed. Syst., 2016

Linear Convergence of SVRG in Statistical Estimation.

Chao Qu, Huan Xu

CoRR, 2016

Fast Rate Analysis of Some Stochastic Optimization Algorithms.

Chao Qu, Huan Xu, Chong Jin Ong

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Flying Smartphones: Automated Flight Enabled by Consumer Electronics.

Giuseppe Loianno, Gareth Cross, Chao Qu, Yash Mulgaonkar, Joel A. Hesch, Vijay Kumar

IEEE Robotics Autom. Mag., 2015

Predictive Timely Trigger and Performance Optimization for Deterministic Handovers.

Ming Tao, Fagui Liu, Chao Qu

Int. J. Wirel. Inf. Networks, 2015

Optimizing Unsatisfactory Handover Trigger in Heterogeneous Vehicular Networks.

Ming Tao, Fagui Liu, Chao Qu

Int. J. Distributed Sens. Networks, 2015

Ontologies for the Transactions on IoT.

Chao Qu, Fagui Liu, Ming Tao

Int. J. Distributed Sens. Networks, 2015

Multi-link Passive Localization with Low Cost in Wireless Sensor Networks.

Zhanyong Tang, Jianan Kou, Chao Qu, Tianzhang Xing, Xiaojiang Chen, Dingyi Fang, Ruchen Wang

Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Low-cost Device-Free Localization using Detection Probability Model in Outdoors.

Jianan Kou, Xiaojiang Chen, Zhanyong Tang, Juan He, Chao Qu, Tianzhang Xing, Dingyi Fang

Proceedings of the 3rd International Workshop on Energy Harvesting & Energy Neutral Sensing Systems, 2015

Subspace Clustering with Irrelevant Features via Robust Dantzig Selector.

Chao Qu, Huan Xu

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

User Oriented Semi-automatic Method of Constructing Domain Ontology.

Chao Qu, Fagui Liu, Hui Yu, Ruifen Yuan, Anxiong Wang

Proceedings of the Computational Intelligence and Intelligent Systems, 2015

Devices, systems, and methods for automated monitoring enabling precision agriculture.

Jnaneshwar Das, Gareth Cross, Chao Qu, Anurag Makineni, Pratap Tokekar, Yash Mulgaonkar, Vijay Kumar

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2014

Conversations with a virtual human: Synthetic emotions and human responses.

Chao Qu, Willem-Paul Brinkman, Yun Ling, Pascal Wiggers, Ingrid Heynderickx

Comput. Hum. Behav., 2014

2013

Human perception of a conversational virtual human: an empirical study on the effect of emotion and culture.

Chao Qu, Willem-Paul Brinkman, Yun Ling, Pascal Wiggers, Ingrid Heynderickx

Virtual Real., 2013

The Effect of Priming Pictures and Videos on a Question-Answer Dialog Scenario in a Virtual Environment.

Chao Qu, Willem-Paul Brinkman, Pascal Wiggers, Ingrid Heynderickx

Presence Teleoperators Virtual Environ., 2013

Feature-Aware Cooperative Relaying for Multiflow Wireless Sensor Networks.

Ming Tao, Huaqiang Yuan, Wenhong Wei, Chao Qu

Int. J. Distributed Sens. Networks, 2013

The relationship between individual characteristics and experienced presence.

Yun Ling, Harold T. Nefs, Willem-Paul Brinkman, Chao Qu, Ingrid Heynderickx

Comput. Hum. Behav., 2013

KNNCC: An algorithm for k-nearest neighbor clique clustering.

Chao Qu, Ruifen Yuan, Xiaorui Wei

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2012

Effects of Stereoscopic Viewing on Presence, Anxiety, and Cybersickness in a Virtual Reality Environment for Public Speaking.

Yun Ling, Willem-Paul Brinkman, Harold T. Nefs, Chao Qu, Ingrid Heynderickx

Presence Teleoperators Virtual Environ., 2012

Dynamic Facial Expression of Emotion Made Easy

Joost Broekens, Chao Qu, Willem-Paul Brinkman

CoRR, 2012

2011

The role of orientation diversity in binocular vergence control.

Chao Qu, Bertram E. Shi

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Visual priming to improve keyword detection in free speech dialogue.

Chao Qu, Willem-Paul Brinkman, Pascal Wiggers, Ingrid Heynderickx

Proceedings of the ECCE 2010, 2010

The role of display technology and individual differences on presence.

Yun Ling, Harold T. Nefs, Willem-Paul Brinkman, Ingrid Heynderickx, Chao Qu

Proceedings of the ECCE 2010, 2010

2009

Initialization of the Neighborhood EM Algorithm for Spatial Clustering.

Tianming Hu, Ji Ouyang, Chao Qu, Chuanren Liu

Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008

Co-Clustering Bipartite with Pattern Preservation for Topic Extraction.

Tianming Hu, Chew Lim Tan, Yong Tang, Sam Yuan Sung, Hui Xiong, Chao Qu

Int. J. Artif. Intell. Tools, 2008

Term Weighting Evaluation in Bipartite Partitioning for Text Clustering.

Chao Qu, Yong Li, Jun Zhu, Peican Huang, Ruifen Yuan, Tianming Hu

Proceedings of the Information Retrieval Technology, 2008

Selecting the Right Features for Bipartite-Based Text Clustering.

Chao Qu, Yong Li, Jie Zhang, Tianming Hu, Qian Chen

Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

2007

Hyperclique Pattern Based Off-Topic Detection.

Tianming Hu, Qingui Xu, Huaqiang Yuan, Jiali Hou, Chao Qu

Proceedings of the Advances in Data and Web Management, 2007

Spatial Fuzzy Clustering Using Varying Coefficients.

Huaqiang Yuan, Yaxun Wang, Jie Zhang, Wei Tan, Chao Qu, Wenbin He

Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

2006

Preserving Patterns in Bipartite Graph Partitioning.

Tianming Hu, Chao Qu, Chew Lim Tan, Sam Yuan Sung, Wenjun Zhou

Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

Joint Cluster Based Co-clustering for Clustering Ensembles.

Tianming Hu, Liping Liu, Chao Qu, Sam Yuan Sung

Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006