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Yunsheng Zhang, Zijing Ren, Zichen Ding, Hong Qian, Haiqiang Li, Chao Tao: Co-ECL: Covariant Network with Equivariant Contrastive Learning for Oriented Object Detection in Remote Sensing Images. Remote. Sens. 16(3): 516 (2024)
Bingdong Li, Yongfan Lu, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou: Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization. Swarm Evol. Comput. 86: 101506 (2024)
Junhao Shen, Hong Qian, Wei Zhang, Aimin Zhou: Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems. AAAI 2024: 14928-14936
Shuo Liu, Junhao Shen, Hong Qian, Aimin Zhou: Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Intelligent Education Systems. WWW 2024: 4260-4271
Junhao Shen, Hong Qian, Wei Zhang, Aimin Zhou: Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems. CoRR abs/2401.10840 (2024)
Siyu Wu, Yang Cao, Jiajun Cui, Runze Li, Hong Qian, Bo Jiang, Wei Zhang: A Comprehensive Exploration of Personalized Learning in Smart Education: From Student Modeling to Personalized Recommendations. CoRR abs/2402.01666 (2024)
Shuo Liu, Junhao Shen, Hong Qian, Aimin Zhou: Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems. CoRR abs/2404.11290 (2024)
Ting Wu, Hong Qian, Ziqi Liu, Jun Zhou, Aimin Zhou: Bi-objective evolutionary Bayesian network structure learning via skeleton constraint. Frontiers Comput. Sci. 17(6): 176350 (2023)
Hong Qian, Xiantao Zhang, Chaofan Zhang, Cheng Jiang: A novel cyber intrusion detection model based on improved hybrid sampling. Trans. Inst. Meas. Control 45(15): 2903-2913 (2023)
Yangwenhui Zhang, Hong Qian, Xiang Shu, Aimin Zhou: High-Dimensional Dueling Optimization with Preference Embedding. AAAI 2023: 11280-11288
Hong Qian, Wei Wu, Qi Zhu, Fei Wang, Jinwei Zhao, Yan Zheng: SWPFOPLD: A Profiling and Optimizing Loader for SW26010Pro Processors. ICCCS 2023: 780-784
Shuo Liu, Hong Qian, Mingjia Li, Aimin Zhou: QCCDM: A Q-Augmented Causal Cognitive Diagnosis Model for Student Learning. ECAI 2023: 1536-1543
Huakang Lu, Hong Qian, Yupeng Wu, Ziqi Liu, Ya-Lin Zhang, Aimin Zhou, Yang Yu: Degradation-Resistant Offline Optimization via Accumulative Risk Control. ECAI 2023: 1609-1616
Yongfan Lu, Bingdong Li, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou: RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization. GECCO 2023: 722-730
Yu-Peng Wu, Hong Qian, Rong-Jun Qin, Yi Chen, Aimin Zhou: Scaling Multi-Objective Security Games Provably via Space Discretization Based Evolutionary Search. CoRR abs/2303.15821 (2023)
You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng: On the Opportunities of Green Computing: A Survey. CoRR abs/2311.00447 (2023)
Hong Qian, Bo Sun, Yuanjun Guo, Zhile Yang, Jun Ling, Wei Feng: A parallel deep learning algorithm with applications in process monitoring and fault prediction. Comput. Electr. Eng. 99: 107724 (2022)
Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Chao Qian, Yang Yu: ZOOpt: a toolbox for derivative-free optimization. Sci. China Inf. Sci. 65(10) (2022)
Leihui Xiong, Xiaoyan Su, Hong Qian: Supplier Selection Model Based on D Numbers and Transformation Function. Int. J. Comput. Commun. Control 17(5) (2022)
Erin Angelini, Yue Wang, Joseph Xu Zhou, Hong Qian, Sui Huang: A model for the intrinsic limit of cancer therapy: Duality of treatment-induced cell death and treatment-induced stemness. PLoS Comput. Biol. 18(7) (2022)
Hengzhe Zhang, Aimin Zhou, Hong Qian, Hu Zhang: PS-Tree: A piecewise symbolic regression tree. Swarm Evol. Comput. 71: 101061 (2022)
Hao Hao, Aimin Zhou, Hong Qian, Hu Zhang: Expensive Multiobjective Optimization by Relation Learning and Prediction. IEEE Trans. Evol. Comput. 26(5): 1157-1170 (2022)
Tianxiang Sun, Zhengfu He, Hong Qian, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu: BBTv2: Towards a Gradient-Free Future with Large Language Models. EMNLP 2022: 3916-3930
Hong Qian, Xu-Hui Liu, Chen-Xi Su, Aimin Zhou, Yang Yu: The Teaching Dimension of Regularized Kernel Learners. ICML 2022: 17984-18002
Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu: Black-Box Tuning for Language-Model-as-a-Service. ICML 2022: 20841-20855
Shu-Jun Li, Mingjia Li, Hong Qian: High-Dimensional Discrete Bayesian Optimization with Intrinsic Dimension. PRICAI (1) 2022: 534-547
Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu: Black-Box Tuning for Language-Model-as-a-Service. CoRR abs/2201.03514 (2022)
Tianxiang Sun, Zhengfu He, Hong Qian, Xuanjing Huang, Xipeng Qiu: BBTv2: Pure Black-Box Optimization Can Be Comparable to Gradient Descent for Few-Shot Learning. CoRR abs/2205.11200 (2022)
Rong-Jun Qin, Fan-Ming Luo, Hong Qian, Yang Yu: Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games. CoRR abs/2208.09452 (2022)
Hong Qian, Yadong Zhou, Jian Zhang, Yi Jin, Tao Deng, Shunsheng Cheng: A synthesis of botanical informatics for vascular plants in Africa. Ecol. Informatics 64: 101382 (2021)
Lei Bu, Yongjuan Liang, Zhunyi Xie, Hong Qian, Yi-Qi Hu, Yang Yu, Xin Chen, Xuandong Li: Machine learning steered symbolic execution framework for complex software code. Formal Aspects Comput. 33(3): 301-323 (2021)
Hong Qian, Yang Yu: Derivative-free reinforcement learning: a review. Frontiers Comput. Sci. 15(6): 156336 (2021)
Leihui Xiong, Xiaoyan Su, Hong Qian: Conflicting evidence combination from the perspective of networks. Inf. Sci. 580: 408-418 (2021)
Ting Wu, Hong Qian, Aimin Zhou, Zhenzi Li: Bi-Objective Search Method for Bayesian Network Structure Learning. CCIS 2021: 433-437
Kai Nie, Qinglei Zhou, Hong Qian, Jianmin Pang, Jinlong Xu, Yapeng Li: Parallel Region Reconstruction Technique for Sunway High-Performance Multi-core Processors. ICPCSEE (1) 2021: 163-179
Wei Wu, Hong Qian, Qi Zhu, Jue Wang, XingJian Fan: Research on Full-Chip Programming for Sunway Heterogeneous Many-core Processor. WSSE 2021: 174-179
Hong Qian, Yang Yu: Derivative-Free Reinforcement Learning: A Review. CoRR abs/2102.05710 (2021)
Jie Zhou, Xiaoyan Su, Hong Qian: Risk Assessment on Offshore Photovoltaic Power Generation Projects in China Using D Numbers and ANP. IEEE Access 8: 144704-144717 (2020)
Liu Hong, Hong Qian, Lowell F. Thompson: Representations and divergences in the space of probability measures and stochastic thermodynamics. J. Comput. Appl. Math. 376: 112842 (2020)
Fan Yu, Zhong-Sen Le, Li-Hua Chen, Hong Qian, Bo Yu, Wen-Hua Chen: Identification of Biomolecular Information in Rotenone-Induced Cellular Model of Parkinson's Disease by Public Microarray Data Analysis. J. Comput. Biol. 27(6): 888-903 (2020)
Hong Qian, Yu-Chen Cheng: Counting single cells and computing their heterogeneity: from phenotypic frequencies to mean value of a quantitative biomarker. Quant. Biol. 8(2): 172-176 (2020)
Minghua Deng, Jianfeng Feng, Hong Qian, Lin Wan, Fengzhu Sun: International Workshop on Applications of Probability and Statistics to Biology, July 11-13, 2019. Quant. Biol. 8(2): 177-186 (2020)
Wen Huang, Hong Qian, Shirou Wang, Felix X.-F. Ye, Yingfei Yi: Synchronization in Discrete-Time, Discrete-State Random Dynamical Systems. SIAM J. Appl. Dyn. Syst. 19(1): 233-251 (2020)
Pengcheng Zhu, Hong Qian, Tingting Chai: Research on early fault warning system of coal mills based on the combination of thermodynamics and data mining. Trans. Inst. Meas. Control 42(1): 55-68 (2020)
Jie Zhou, Xiaoyan Su, Hong Qian: Research on Fusion of Dependent Evidence Based on Kendall Correlation Coefficient. CSAE 2020: 155:1-155:5
Hong Qian, Yuan Yuan, Yu Wang, Gaofeng Jiang, Ting Yang: Research on Pressurizer Pressure Control Based on Adaptive Prediction Algorithm. Complex. 2019: 2470376:1-2470376:10 (2019)
Xiaoyan Su, Lusu Li, Hong Qian, Sankaran Mahadevan, Yong Deng: A new rule to combine dependent bodies of evidence. Soft Comput. 23(20): 9793-9799 (2019)
Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu: Asynchronous classification-based optimization. DAI 2019: 9:1-9:8
Hong Qian, Yu-Chen Cheng, Lowell F. Thompson: Ternary Representation of Stochastic Change and the Origin of Entropy and Its Fluctuations. CoRR abs/1902.09536 (2019)
Xiaoyan Su, Lusu Li, Fengjian Shi, Hong Qian: Research on the Fusion of Dependent Evidence Based on Mutual Information. IEEE Access 6: 71839-71845 (2018)
Hao Ge, Pingping Wu, Hong Qian, X. Sunney Xie: Relatively slow stochastic gene-state switching in the presence of positive feedback significantly broadens the region of bimodality through stabilizing the uninduced phenotypic state. PLoS Comput. Biol. 14(3) (2018)
Felix X.-F. Ye, Panos Stinis, Hong Qian: Dynamic Looping of a Free-Draining Polymer. SIAM J. Appl. Math. 78(1): 104-123 (2018)
Hong Wang, Hong Qian, Yang Yu: Noisy Derivative-Free Optimization With Value Suppression. AAAI 2018: 1447-1454
Xiaoyan Su, Fengjian Shi, Xinyang Deng, Yong Deng, Hong Qian: Decision Making with Linguistic Information Based on D Numbers and OWAWA Operator. FUSION 2018: 1-7
Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu, Chao Qian: ZOOpt/ZOOjl: Toolbox for Derivative-Free Optimization. CoRR abs/1801.00329 (2018)
Fengjian Shi, Xiaoyan Su, Hong Qian, Ning Yang, Wenhua Han: Research on the Fusion of Dependent Evidence Based on Rank Correlation Coefficient. Sensors 17(10): 2362 (2017)
Hong Qian, Yang Yu: Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions. AAAI 2017: 875-881
Yi-Qi Hu, Hong Qian, Yang Yu: Sequential Classification-Based Optimization for Direct Policy Search. AAAI 2017: 2029-2035
Miao Zheng, Hong Qian, Siyun Lin, Bole Xiao, Xiaoping Chu: Research on Expert Knowledge Base of Intelligent Diagnosis Based on Tubing Leakage of High-Pressure Heater in Nuclear Power Plant. LSMS/ICSEE (3) 2017: 185-194
Hong Qian, Siyun Lin, Miao Zheng, Qiang Zhang: Research on Intelligent Early-Warning System of Main Pipeline in Nuclear Power Plants Based on Hierarchical and Multidimensional Fault Identification Method. LSMS/ICSEE (3) 2017: 195-205
Shuai Ren, Hong Qian: The Early Warning System of Nuclear Power Station Oriented to Human Reliability. LSMS/ICSEE (3) 2017: 206-216
Hong Qian, Yu-qing Feng, Zi-bin Zheng: Design of Adaptive Predictive Controller for Superheated Steam Temperature Control in Thermal Power Plant. LSMS/ICSEE (3) 2017: 409-419
Lowell F. Thompson, Hong Qian: Potential of Entropic Force in Markov Systems with Nonequilibrium Steady State, Generalized Gibbs Function and Criticality. Entropy 18(8): 309 (2016)
David B. Saakian, Hong Qian: Nonlinear Stochastic Dynamics of Complex Systems, III: Nonequilibrium Thermodynamics of Self-Replication Kinetics. IEEE Trans. Mol. Biol. Multi Scale Commun. 2(1): 40-51 (2016)
Hong Qian, Yang Yu: Scaling Simultaneous Optimistic Optimization for High-Dimensional Non-Convex Functions with Low Effective Dimensions. AAAI 2016: 2000-2006
Yang Yu, Hong Qian, Yi-Qi Hu: Derivative-Free Optimization via Classification. AAAI 2016: 2286-2292
Hong Qian, Yang Yu: On sampling-and-classification optimization in discrete domains. CEC 2016: 4374-4381
Hong Qian, Yi-Qi Hu, Yang Yu: Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings. IJCAI 2016: 1946-1952
Xin Li, Yongjuan Liang, Hong Qian, Yi-Qi Hu, Lei Bu, Yang Yu, Xin Chen, Xuandong Li: Symbolic execution of complex program driven by machine learning based constraint solving. ASE 2016: 554-559
Hong Qian, Xianli Wang: Global relationships between beta diversity and latitude after accounting for regional diversity. Ecol. Informatics 25: 10-13 (2015)
Hong Qian: Fitness and entropy production in a cell population dynamics with epigenetic phenotype switching. Quant. Biol. 2(1): 47-53 (2014)
Yang Yu, Hong Qian: The sampling-and-learning framework: A statistical view of evolutionary algorithms. IEEE Congress on Evolutionary Computation 2014: 149-158
Yang Yu, Hong Qian: The Sampling-and-Learning Framework: A Statistical View of Evolutionary Algorithms. CoRR abs/1401.6333 (2014)
Hong Qian: Stochastic physics, complex systems and biology. Quant. Biol. 1(1): 50-53 (2013)
Chao Li, Hong Qian, Yuzhen Sun, Wang Du: Design and implement the deaerator level digital control system of nuclear station. FSKD 2010: 665-667
Jie Liang, Hong Qian: Computational Cellular Dynamics Based on the Chemical Master Equation: A Challenge for Understanding Complexity. J. Comput. Sci. Technol. 25(1): 154-168 (2009)
William J. Heuett, Daniel A. Beard, Hong Qian: Linear analysis near a steady-state of biochemical networks: control analysis, correlation metrics and circuit theory. BMC Syst. Biol. 2: 44 (2008)
Hong Qian, Karen Lu, Asad M. Ali: A Proxy Agent for Small Network-Enabled Devices. IPCCC 2008: 445-449
Yuechang Liu, Yunfei Jiang, Hong Qian: Topology-based Variable Ordering Strategy for Solving Disjunctive Temporal Problems. TIME 2008: 129-136
ágnes Baross, Allen D. Delaney, H. Irene Li, Tarun Nayar, Stephane Flibotte, Hong Qian, Susanna Y. Chan, Jennifer Asano, Adrian Ally, Manqiu Cao, Patricia Birch, Mabel Brown-John, Nicole Fernandes, Anne Go, Giulia C. Kennedy, Sylvie Langlois, Patrice Eydoux, J. M. Friedman, Marco A. Marra: Assessment of algorithms for high throughput detection of genomic copy number variation in oligonucleotide microarray data. BMC Bioinform. 8 (2007)
Ping Ao, Chulan Kwon, Hong Qian: On the existence of potential landscape in the evolution of complex systems. Complex. 12(4): 19-27 (2007)
Yi Y. Shi, Gerald A. Miller, Oleg Denisenko, Hong Qian, Karol Bomsztyk: Quantitative Model for Binary Measurements of Protein-Protein Interactions. J. Comput. Biol. 14(7): 1011-1023 (2007)
Yuechang Liu, Hong Qian, Yunfei Jiang: Graph-DTP: Graph-Based Algorithm for Solving Disjunctive Temporal Problems. TIME 2007: 190
Ping Ao, Chulan Kwon, Hong Qian: On the existence of potential landscape in the evolution of complex systems. CoRR abs/q-bio/0703044 (2007)
William J. Heuett, Hong Qian: Combining Flux and Energy Balance Analysis to Model Large-scale Biochemical Networks. J. Bioinform. Comput. Biol. 4(6): 1227-1244 (2006)
Hong Qian, James D. Murray: A simple method of parameter space determination for diffusion-driven instability with three species. Appl. Math. Lett. 14(4): 405-411 (2001)
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