Chao Qu - RankMe

131 papers A* 17A 4B 2C 5Misc 3Journal 77Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	AURORA: Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification. KDD (1) Xiaoyu Tan, Tianchu Yao, Chao Qu, Bin Li, Minghao Yang, Dakuan Lu, Haozhe Wang, Yinghui Xu, Xihe Qiu
2026	A*	`conf`	Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning. AAAI Xuan Zhang, Zhijian Zhou, Weidi Xu, Yanting Miao, Chao Qu, Yuan Qi
2026	J	`jnl`	DyJR: Preserving Diversity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon Replay. CoRR Long Li, Zhijian Zhou, Tianyi Wang, Weidi Xu, Zuming Huang, Wei Chu, Zhe Wang, Shirui Pan, Chao Qu, Yuan Qi
2026	J	`jnl`	Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation. CoRR Junyi An, Chao Qu, Yunfei Shi, Zhijian Zhou, Fenglei Cao, Yuan Qi
2026	J	`jnl`	PET-F2I: A Comprehensive Benchmark and Parameter-Efficient Fine-Tuning of LLMs for PET/CT Report Impression Generation. CoRR Yuchen Liu, Wenbo Zhang, Liling Peng, Yichi Zhang, Yu Fu, Xin Guo, Chao Qu, Yuan Qi, Le Xue
2026	J	`jnl`	SQL-ASTRA: Alleviating Sparse Feedback in Agentic SQL via Column-Set Matching and Trajectory Aggregation. CoRR Long Li, Zhijian Zhou, Jiangxuan Long, Peiyang Liu, Weidi Xu, Zhe Wang, Shirui Pan, Chao Qu
2026	J	`jnl`	Suiren-1.0 Technical Report: A Family of Molecular Foundation Models. CoRR Junyi An, Xinyu Lu, Yunfei Shi, Licheng Xu, Nannan Zhang, Chao Qu, Yuan Qi, Fenglei Cao
2025	J	`jnl`	AURORA:Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification. CoRR Xiaoyu Tan, Tianchu Yao, Chao Qu, Bin Li, Minghao Yang, Dakuan Lu, Haozhe Wang, Xihe Qiu, Wei Chu, Yinghui Xu, Yuan Qi
2025	J	`jnl`	Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities. CoRR Jiayi Kuang, Haojing Huang, Yinghui Li, Xinnian Liang, Zhikun Xu, Yangning Li, Xiaoyu Tan, Chao Qu, Meishan Zhang, Ying Shen, Philip S. Yu
2025	Misc	`conf`	CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks. ICASSP Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Chao Qu, Jing Pan, Yuan Cheng, Yinghui Xu, Wei Chu
2025	J	`jnl`	Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning. CoRR Xuan Zhang, Zhijian Zhou, Weidi Xu, Yanting Miao, Chao Qu, Yuan Qi
2025	J	`jnl`	Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic Rewards. CoRR Xuan Zhang, Ruixiao Li, Zhijian Zhou, Long Li, Yulei Qin, Ke Li, Xing Sun, Xiaoyu Tan, Chao Qu, Yuan Qi
2025	A*	`conf`	Equivariant Masked Position Prediction for Efficient Molecular Representation. ICLR Junyi An, Chao Qu, Yunfei Shi, Xinhao Liu, Qianwei Tang, Fenglei Cao, Yuan Qi
2025	J	`jnl`	Equivariant Masked Position Prediction for Efficient Molecular Representation. CoRR Junyi An, Chao Qu, Yunfei Shi, Xinhao Liu, Qianwei Tang, Fenglei Cao, Yuan Qi
2025	J	`jnl`	Equivariant Spherical Transformer for Efficient Molecular Modeling. CoRR Junyi An, Xinyu Lu, Chao Qu, Yunfei Shi, Peijia Lin, Qianwei Tang, Licheng Xu, Fenglei Cao, Yuan Qi
2025	J	`jnl`	Guiding Diffusion Models with Reinforcement Learning for Stable Molecule Generation. CoRR Zhijian Zhou, Junyi An, Zongkai Liu, Yunfei Shi, Xuan Zhang, Fenglei Cao, Chao Qu, Yuan Qi
2025	J	`jnl`	Learning Autonomous Code Integration for Math Language Models. CoRR Haozhe Wang, Long Li, Chao Qu, Fengming Zhu, Weidi Xu, Wei Chu, Fangzhen Lin
2025	—	`conf`	MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models. MICCAI (5) Teqi Hao, Xiaoyu Tan, Bin Li, Xuemin Wang, Chao Qu, Yinghui Xu, Xihe Qiu
2025	J	`jnl`	Manipulated Transaction Collision Attack on Execute-Order-Validate Blockchain. IEEE Trans. Dependable Secur. Comput. Ming Zhang, Wenhai Sun, Hui Li, Xiaofeng Wang, Zihao Yang, Chao Qu, Xiaoguang Li
2025	—	`conf`	Meta-Agent-Workflow: Streamlining Tool Usage in LLMs through Workflow Construction, Retrieval, and Refinement. WWW (Companion Volume) Xiaoyu Tan, Bin Li, Xihe Qiu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi
2025	Misc	`conf`	Meta-MMD Fusion: Enhancing Cross-Subject Motor Imagery Classification. ICASSP Minghui Chen, Chao Qu, Jiahui Pan
2025	J	`jnl`	Near-infrared Image Deblurring and Event Denoising with Synergistic Neuromorphic Imaging. CoRR Chao Qu, Shuo Zhu, Yuhang Wang, Zongze Wu, Xiaoyu Chen, Edmund Y. Lam, Jing Han
2025	A*	`conf`	One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs. ICML Yinghui Li, Jiayi Kuang, Haojing Huang, Zhikun Xu, Xinnian Liang, Yi Yu, Wenlian Lu, Yangning Li, Xiaoyu Tan, Chao Qu, Ying Shen, Hai-Tao Zheng, Philip S. Yu
2025	J	`jnl`	One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs. CoRR Yinghui Li, Jiayi Kuang, Haojing Huang, Zhikun Xu, Xinnian Liang, Yi Yu, Wenlian Lu, Yangning Li, Xiaoyu Tan, Chao Qu, Ying Shen, Hai-Tao Zheng, Philip S. Yu
2025	—	`conf`	Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support. MICCAI (10) Xiaoyu Tan, Bin Li, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi, Xihe Qiu
2025	A*	`conf`	Refine Knowledge of Large Language Models via Adaptive Contrastive Learning. ICLR Yinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-Yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip S. Yu
2025	J	`jnl`	Refine Knowledge of Large Language Models via Adaptive Contrastive Learning. CoRR Yinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-Yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip S. Yu
2025	J	`jnl`	SCP-116K: A High-Quality Problem-Solution Dataset and a Generalized Pipeline for Automated Extraction in the Higher Education Science Domain. CoRR Dakuan Lu, Xiaoyu Tan, Rui Xu, Tianchu Yao, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi
2025	J	`jnl`	Self-BSR: Self-Supervised Image Denoising and Destriping Based on Blind-Spot Regularization. IEEE Trans. Circuits Syst. Video Technol. Chao Qu, Zewei Chen, Jingyuan Zhang, Xiaoyu Chen, Jing Han
2025	J	`jnl`	The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward. CoRR Long Li, Jiaran Hao, Jason Klein Liu, Zhijian Zhou, Xiaoyu Tan, Wei Chu, Zhe Wang, Shirui Pan, Chao Qu, Yuan Qi
2025	—	`conf`	To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization. ACL (Findings) Haozhe Wang, Long Li, Chao Qu, Weidi Xu, Fengming Zhu, Wei Chu, Fangzhen Lin
2025	J	`jnl`	Uni-cot: Towards Unified Chain-of-Thought Reasoning Across Text and Vision. CoRR Luozheng Qin, Jia Gong, Yuqing Sun, Tianjiao Li, Mengping Yang, Xiaomeng Yang, Chao Qu, Zhiyu Tan, Hao Li
2025	J	`jnl`	Unleashing Flow Policies with Distributional Critics. CoRR Deshu Chen, Yuchen Liu, Zhijian Zhou, Chao Qu, Yuan Qi
2025	J	`jnl`	VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning. CoRR Haozhe Wang, Chao Qu, Zuming Huang, Wei Chu, Fangzhen Lin, Wenhu Chen
2024	J	`jnl`	Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. CoRR Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu
2024	J	`jnl`	CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks. CoRR Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Chao Qu, Jing Pan, Yuan Cheng, Yinghui Xu, Wei Chu
2024	J	`jnl`	Frequency-Aware Degradation Modeling for Real-World Thermal Image Super-Resolution. Entropy Chao Qu, Xiaoyu Chen, Qihan Xu, Jing Han
2024	A*	`conf`	Hybrid Directional Graph Neural Network for Molecules. ICLR Junyi An, Chao Qu, Zhipeng Zhou, Fenglei Cao, Yinghui Xu, Yuan Qi, Furao Shen
2024	A	`conf`	ILTS: Inducing Intention Propagation in Decentralized Multi-Agent Tasks with Large Language Models. CIKM Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu
2024	A*	`conf`	LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints. ICLR Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu
2024	J	`jnl`	Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding. IEEE Trans. Emerg. Top. Comput. Intell. Xiaoyu Tan, Chao Qu, Junwu Xiong, James Y. Zhang, Xihe Qiu, Yaochu Jin
2024	J	`jnl`	Multifunctional robot based on multimodal brain-machine interface. Biomed. Signal Process. Control. Nianming Ban, Shanghong Xie, Chao Qu, Xuening Chen, Jiahui Pan
2024	A*	`conf`	Subequivariant Reinforcement Learning Framework for Coordinated Motion Control. ICRA Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu
2024	J	`jnl`	Subequivariant Reinforcement Learning Framework for Coordinated Motion Control. CoRR Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu
2024	J	`jnl`	Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though. CoRR Xiaoyu Tan, Yongxin Deng, Xihe Qiu, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi
2024	J	`jnl`	Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models. CoRR Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu, Yujie Xiong, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi
2024	—	`conf`	ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average. EMNLP (Industry Track) Shaojie Shi, Xiaoyu Tan, Xihe Qiu, Chao Qu, Kexin Nie, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi
2023	—	`conf`	Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. SIGIR-AP Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu
2023	C	`conf`	BSGAT: A Graph Attention Network for Binary Code Similarity Detection. PRDC Chao Qu, Rongqian Zhou, Ke Liu, Zhuo Yan, Haipeng Qu
2023	A*	`conf`	Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. AAAI Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
2023	A*	`conf`	Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification. ICCV Xihe Qiu, Shaojie Shi, Xiaoyu Tan, Chao Qu, Zhijun Fang, Hailing Wang, Yongbin Gao, Peixia Wu, Huawei Li
2023	J	`jnl`	LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints. CoRR Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu
2023	—	`conf`	PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. EMNLP (Industry Track) Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi
2023	J	`jnl`	PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. CoRR Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi
2023	A*	`conf`	Provably Invariant Learning without Domain Information. ICML Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi
2023	—	`conf`	SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels. ACL (industry) Zhenting Qi, Xiaoyu Tan, Chao Qu, Yinghui Xu, Yuan Qi
2023	—	`conf`	Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness. EMNLP (Industry Track) Xiaoyu Tan, Shaojie Shi, Xihe Qiu, Chao Qu, Zhenting Qi, Yinghui Xu, Yuan Qi
2022	—	`conf`	A Hybrid Brain-Computer Interface for Smart Car Control. HBAI@IJCAI Nianming Ban, Chao Qu, Daqin Feng, Jiahui Pan
2022	A*	`conf`	A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. KDD 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
2022	J	`jnl`	A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. CoRR 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
2022	J	`jnl`	Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. CoRR Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
2022	J	`jnl`	Challenges and Opportunities for Autonomous Micro-UAVs in Precision Agriculture. IEEE Micro Xu Liu, Steven W. Chen, Guilherme V. Nardari, Chao Qu, Fernando Cladera Ojeda, Camillo J. Taylor, Vijay Kumar
2022	A	`conf`	DSOL: A Fast Direct Sparse Odometry Scheme. IROS Chao Qu, Shreyas S. Shivakumar, Ian D. Miller, Camillo J. Taylor
2022	J	`jnl`	DSOL: A Fast Direct Sparse Odometry Scheme. CoRR Chao Qu, Shreyas S. Shivakumar, Ian D. Miller, Camillo J. Taylor
2022	A*	`conf`	LLOL: Low-Latency Odometry for Spinning Lidars. ICRA Chao Qu, Shreyas S. Shivakumar, Wenxin Liu, Camillo J. Taylor
2022	J	`jnl`	Large-Scale Autonomous Flight With Real-Time Semantic SLAM Under Dense Forest Canopy. IEEE Robotics Autom. Lett. 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
2021	A*	`conf`	Bayesian Deep Basis Fitting for Depth Completion with Uncertainty. ICCV Chao Qu, Wenxin Liu, Camillo J. Taylor
2021	J	`jnl`	Bayesian Deep Basis Fitting for Depth Completion with Uncertainty. CoRR Chao Qu, Wenxin Liu, Camillo J. Taylor
2021	J	`jnl`	LLOL: Low-Latency Odometry for Spinning Lidars. CoRR Chao Qu, Shreyas S. Shivakumar, Wenxin Liu, Camillo J. Taylor
2021	J	`jnl`	Large-scale Autonomous Flight with Real-time Semantic SLAM under Dense Forest Canopy. CoRR 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
2020	J	`jnl`	An adaptive trajectory planning algorithm for robotic belt grinding of blade leading and trailing edges based on material removal profile model. Robotics Comput. Integr. Manuf. Yuanjian Lv, Zhen Peng, Chao Qu, Dahu Zhu
2020	A	`conf`	Depth Completion via Deep Basis Fitting. WACV Chao Qu, Ty Nguyen, Camillo J. Taylor
2020	J	`jnl`	Hard exudate detection based on deep model learned information and multi-feature joint representation for diabetic retinopathy screening. Comput. Methods Programs Biomed. Hui Wang, Guohui Yuan, Xuegong Zhao, Lingbing Peng, Zhuoran Wang, Yanmin He, Chao Qu, Zhenming Peng
2020	J	`jnl`	Intention Propagation for Multi-agent Reinforcement Learning. CoRR Chao Qu, Hui Li, Chang Liu, Junwu Xiong, James Zhang, Wei Chu, Yuan Qi, Le Song
2020	J	`jnl`	Model Embedding Model-Based Reinforcement Learning. CoRR Xiaoyu Tan, Chao Qu, Junwu Xiong, James Zhang
2020	J	`jnl`	SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory. IEEE Robotics Autom. Lett. Steven W. Chen, Guilherme V. Nardari, Elijah S. Lee, Chao Qu, Xu Liu, Roseli A. Francelin Romero, Vijay Kumar
2019	J	`jnl`	Depth Completion via Deep Basis Fitting. CoRR Chao Qu, Ty Nguyen, Camillo J. Taylor
2019	A*	`conf`	Nonlinear Distributional Gradient Temporal-Difference Learning. ICML Chao Qu, Shie Mannor, Huan Xu
2019	J	`jnl`	SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory. CoRR Steven W. Chen, Guilherme V. Nardari, Elijah S. Lee, Chao Qu, Xu Liu, Roseli A. F. Romero, Vijay Kumar
2019	A*	`conf`	Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. NeurIPS Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong
2019	J	`jnl`	Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. CoRR Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong
2018	J	`jnl`	A Hypergraph-Based Blockchain Model and Application in Internet of Things-Enabled Smart Homes. Sensors Chao Qu, Ming Tao, Ruifen Yuan
2018	—	`conf`	A Semantic Web Based Intelligent IoT Model. ICA3PP (3) Chao Qu, Ming Tao, Jie Zhang, Xiaoyu Hong, Ruifen Yuan
2018	J	`jnl`	Blockchain Based Credibility Verification Method for IoT Entities. Secur. Commun. Networks Chao Qu, Ming Tao, Jie Zhang, Xiaoyu Hong, Ruifen Yuan
2018	J	`jnl`	Communication-Efficient Projection-Free Algorithm for Distributed Optimization. CoRR Yan Li, Chao Qu, Huan Xu
2018	J	`jnl`	Fast Global Convergence via Landscape of Empirical Loss. CoRR Chao Qu, Yan Li, Huan Xu
2018	J	`jnl`	Fast, autonomous flight in GPS-denied and cluttered environments. J. Field Robotics 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
2018	—	`conf`	Hybrid Cloud Architecture for Cross-Platform Interoperability in Smart Homes. ICA3PP (3) Ming Tao, Chao Qu, Wenhong Wei, Bin Zhou, Shuqiang Huang
2018	A*	`conf`	Non-convex Conditional Gradient Sliding. ICML Chao Qu, Yan Li, Huan Xu
2018	J	`jnl`	Nonlinear Distributional Gradient Temporal-Difference Learning. CoRR Chao Qu, Shie Mannor, Huan Xu
2018	J	`jnl`	Projection-Free Algorithms in Statistical Estimation. CoRR Yan Li, Chao Qu, Huan Xu
2018	A	`conf`	Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion. IROS Xu Liu, Steven W. Chen, Shreyas Aditya, Nivedha Sivakumar, Sandeep Dcunha, Chao Qu, Camillo J. Taylor, Jnaneshwar Das, Vijay Kumar
2018	J	`jnl`	Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion. CoRR Xu Liu, Steven W. Chen, Shreyas Aditya, Nivedha Sivakumar, Sandeep Dcunha, Chao Qu, Camillo J. Taylor, Jnaneshwar Das, Vijay Kumar
2018	J	`jnl`	Social Connection Aware Team Formation for Participatory Tasks. IEEE Access Xiaoyan Yin, Chao Qu, Qianqian Wang, Fan Wu, Baoying Liu, Feng Chen, Xiaojiang Chen, Dingyi Fang
2018	J	`jnl`	UOSM: user-oriented semi-automatic method of constructing domain ontology. Int. J. High Perform. Comput. Netw. Chao Qu, Fagui Liu, Dacheng Deng, Ruifen Yuan
2017	J	`jnl`	Counting Apples and Oranges With Deep Learning: A Data-Driven Approach. IEEE Robotics Autom. Lett. Steven W. Chen, Shreyas S. Shivakumar, Sandeep Dcunha, Jnaneshwar Das, Edidiong Okon, Chao Qu, Camillo J. Taylor, Vijay Kumar
2017	J	`jnl`	Fast, Autonomous Flight in GPS-Denied and Cluttered Environments. CoRR 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
2017	J	`jnl`	Linear convergence of SDCA in statistical estimation. CoRR Chao Qu, Huan Xu
2017	—	`conf`	Vehicular Data Cloud Platform with 5G Support: Architecture, Services, and Challenges. CSE/EUC (1) Ming Tao, Jiaxing Li, Jie Zhang, Xiaoyu Hong, Chao Qu
2016	J	`jnl`	An OWL-S based specification model of dynamic entity services for Internet of Things. J. Ambient Intell. Humaniz. Comput. Chao Qu, Fagui Liu, Ming Tao, Dacheng Deng
2016	J	`jnl`	Design and application of top ontologies for the transactions on IoT. Int. J. Embed. Syst. Chao Qu, Ming Tao, Fagui Liu, Ruifen Yuan
2016	A*	`conf`	Fast Rate Analysis of Some Stochastic Optimization Algorithms. ICML Chao Qu, Huan Xu, Chong Jin Ong
2016	J	`jnl`	Linear Convergence of SVRG in Statistical Estimation. CoRR Chao Qu, Huan Xu
2015	—	`conf`	Devices, systems, and methods for automated monitoring enabling precision agriculture. CASE Jnaneshwar Das, Gareth Cross, Chao Qu, Anurag Makineni, Pratap Tokekar, Yash Mulgaonkar, Vijay Kumar
2015	J	`jnl`	Flying Smartphones: Automated Flight Enabled by Consumer Electronics. IEEE Robotics Autom. Mag. Giuseppe Loianno, Gareth Cross, Chao Qu, Yash Mulgaonkar, Joel A. Hesch, Vijay Kumar
2015	—	`conf`	Low-cost Device-Free Localization using Detection Probability Model in Outdoors. ENSsys@SenSys Jianan Kou, Xiaojiang Chen, Zhanyong Tang, Juan He, Chao Qu, Tianzhang Xing, Dingyi Fang
2015	—	`conf`	Multi-link Passive Localization with Low Cost in Wireless Sensor Networks. UIC/ATC/ScalCom Zhanyong Tang, Jianan Kou, Chao Qu, Tianzhang Xing, Xiaojiang Chen, Dingyi Fang, Ruchen Wang
2015	J	`jnl`	Ontologies for the Transactions on IoT. Int. J. Distributed Sens. Networks Chao Qu, Fagui Liu, Ming Tao
2015	J	`jnl`	Optimizing Unsatisfactory Handover Trigger in Heterogeneous Vehicular Networks. Int. J. Distributed Sens. Networks Ming Tao, Fagui Liu, Chao Qu
2015	J	`jnl`	Predictive Timely Trigger and Performance Optimization for Deterministic Handovers. Int. J. Wirel. Inf. Networks Ming Tao, Fagui Liu, Chao Qu
2015	—	`conf`	Subspace Clustering with Irrelevant Features via Robust Dantzig Selector. NIPS Chao Qu, Huan Xu
2015	—	`conf`	User Oriented Semi-automatic Method of Constructing Domain Ontology. ISICA Chao Qu, Fagui Liu, Hui Yu, Ruifen Yuan, Anxiong Wang
2014	J	`jnl`	Conversations with a virtual human: Synthetic emotions and human responses. Comput. Hum. Behav. Chao Qu, Willem-Paul Brinkman, Yun Ling, Pascal Wiggers, Ingrid Heynderickx
2013	J	`jnl`	Feature-Aware Cooperative Relaying for Multiflow Wireless Sensor Networks. Int. J. Distributed Sens. Networks Ming Tao, Huaqiang Yuan, Wenhong Wei, Chao Qu
2013	J	`jnl`	Human perception of a conversational virtual human: an empirical study on the effect of emotion and culture. Virtual Real. Chao Qu, Willem-Paul Brinkman, Yun Ling, Pascal Wiggers, Ingrid Heynderickx
2013	Misc	`conf`	KNNCC: An algorithm for k-nearest neighbor clique clustering. ICMLC Chao Qu, Ruifen Yuan, Xiaorui Wei
2013	J	`jnl`	The Effect of Priming Pictures and Videos on a Question-Answer Dialog Scenario in a Virtual Environment. Presence Teleoperators Virtual Environ. Chao Qu, Willem-Paul Brinkman, Pascal Wiggers, Ingrid Heynderickx
2013	J	`jnl`	The relationship between individual characteristics and experienced presence. Comput. Hum. Behav. Yun Ling, Harold T. Nefs, Willem-Paul Brinkman, Chao Qu, Ingrid Heynderickx
2012	J	`jnl`	Dynamic Facial Expression of Emotion Made Easy CoRR Joost Broekens, Chao Qu, Willem-Paul Brinkman
2012	J	`jnl`	Effects of Stereoscopic Viewing on Presence, Anxiety, and Cybersickness in a Virtual Reality Environment for Public Speaking. Presence Teleoperators Virtual Environ. Yun Ling, Willem-Paul Brinkman, Harold T. Nefs, Chao Qu, Ingrid Heynderickx
2011	B	`conf`	The role of orientation diversity in binocular vergence control. IJCNN Chao Qu, Bertram E. Shi
2010	—	`conf`	The role of display technology and individual differences on presence. ECCE Yun Ling, Harold T. Nefs, Willem-Paul Brinkman, Ingrid Heynderickx, Chao Qu
2010	—	`conf`	Visual priming to improve keyword detection in free speech dialogue. ECCE Chao Qu, Willem-Paul Brinkman, Pascal Wiggers, Ingrid Heynderickx
2009	C	`conf`	Initialization of the Neighborhood EM Algorithm for Spatial Clustering. ADMA Tianming Hu, Ji Ouyang, Chao Qu, Chuanren Liu
2008	J	`jnl`	Co-Clustering Bipartite with Pattern Preservation for Topic Extraction. Int. J. Artif. Intell. Tools Tianming Hu, Chew Lim Tan, Yong Tang, Sam Yuan Sung, Hui Xiong, Chao Qu
2008	C	`conf`	Selecting the Right Features for Bipartite-Based Text Clustering. ADMA Chao Qu, Yong Li, Jie Zhang, Tianming Hu, Qian Chen
2008	—	`conf`	Term Weighting Evaluation in Bipartite Partitioning for Text Clustering. AIRS Chao Qu, Yong Li, Jun Zhu, Peican Huang, Ruifen Yuan, Tianming Hu
2007	—	`conf`	Hyperclique Pattern Based Off-Topic Detection. APWeb/WAIM Tianming Hu, Qingui Xu, Huaqiang Yuan, Jiali Hou, Chao Qu
2007	C	`conf`	Spatial Fuzzy Clustering Using Varying Coefficients. ADMA Huaqiang Yuan, Yaxun Wang, Jie Zhang, Wei Tan, Chao Qu, Wenbin He
2006	C	`conf`	Joint Cluster Based Co-clustering for Clustering Ensembles. ADMA Tianming Hu, Liping Liu, Chao Qu, Sam Yuan Sung
2006	B	`conf`	Preserving Patterns in Bipartite Graph Partitioning. ICTAI Tianming Hu, Chao Qu, Chew Lim Tan, Sam Yuan Sung, Wenjun Zhou