Hong Qian

130 papers A* 28A 6B 3C 4Journal 73Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
BDOS: An orthogonal sum based on belief of permutation events and element distances in random permutation set.
Expert Syst. Appl.
Xiaoyan Su, Xu Chen, Hong Qian, Cheng Jiang
2026 A* conf
Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling.
WWW
Yuanhao Liu, Zihan Zhou, Kaiying Wu, Shuo Liu, Yiyang Huang, Jiajun Guo, Aimin Zhou, Hong Qian
2025 — conf
A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments.
KDD (2)
Yuanhao Liu, Shuo Liu, Yimeng Liu, Chanjin Zheng, Wei Zhang, Hong Qian
2025 A* conf
A Fast-Adaptive Cognitive Diagnosis Framework for Computerized Adaptive Testing Systems.
IJCAI
Yuanhao Liu, Yiya You, Shuo Liu, Hong Qian, Ying Qian, Aimin Zhou
2025 A conf
A Style-Aware Polytomous Diagnostic Model for Individual Traits.
ECAI
Yixuan Wang, Jiale Feng, Yue Huang, Xuruo Pan, Zhongjing Huang, Zhi Liu, Hong Qian
2025 J jnl
A novel belief entropy and its application in cooperative situational awareness.
Expert Syst. Appl.
Xiaoyan Su, Jian Zhong, Ziying Hong, Hong Qian, Danilo Pelusi
2025 A* conf
Constrained Offline Black-Box Optimization via Risk Evaluation and Management.
AAAI
Yiyi Zhu, Huakang Lu, Yupeng Wu, Shuo Liu, Jing-Wen Yang, Hong Qian
2025 J jnl
Diversity-enhanced hyper-heuristics for multi-objective dynamic flexible job shop scheduling.
Swarm Evol. Comput.
Yuan Shi, Yaoming Yang, Bingdong Li, Hong Qian, Hao Hao, Aimin Zhou
2025 A* conf
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models.
AAAI
Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou
2025 J jnl
Extended Information Geometry: Large Deviation Theory, Statistical Thermodynamics, and Empirical Counting Frequencies.
CoRR
Viswa Virinchi Muppirala, Hong Qian
2025 J jnl
Foundation model enhanced derivative-free cognitive diagnosis.
Frontiers Comput. Sci.
Mingjia Li, Hong Qian, Jinglan Lv, Mengliang He, Wei Zhang, Aimin Zhou
2025 A conf
InCLET: Large Language Model In-context Learning can Improve Embodied Instruction-following.
AAMAS
Peng-Yuan Wang, Jing-Cheng Pang, Chenyang Wang, Xu-Hui Liu, Tian-Shuo Liu, Si-Hang Yang, Hong Qian, Yang Yu
2025 A* conf
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch.
ICLR
Caigao Jiang, Xiang Shu, Hong Qian, Xingyu Lu, Jun Zhou, Aimin Zhou, Yang Yu
2025 — conf
Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis.
KDD (1)
Shuo Liu, Zihan Zhou, Yuanhao Liu, Jing Zhang, Hong Qian
2025 J jnl
Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis.
CoRR
Shuo Li, Zihan Zhou, Yuanhao Liu, Jing Zhang, Hong Qian
2025 J jnl
Large-Scale Neural Network Quantum States Calculation for Quantum Chemistry on a New Sunway Supercomputer.
IEEE Trans. Parallel Distributed Syst.
Yangjun Wu, Wenhao Zhou, Li Shen, Hong Qian, Honghui Shang
2025 — conf
Paper-Level Computerized Adaptive Testing for High-Stakes Examination via Multi-Objective Optimization.
KDD (2)
Mingjia Li, Junkai Tong, Yiyang Huang, Yifei Ding, Hong Qian, Aimin Zhou
2025 A* conf
Preference Diffusion for Recommendation.
ICLR
Shuo Liu, An Zhang, Guoqing Hu, Hong Qian, Tat-Seng Chua
2025 J jnl
Privacy Preservation for Cloud-Edge-Collaborative Energy Management System Using Post-Quantum Homomorphic Encryption.
IEEE Trans. Smart Grid
Cheng Jiang, Xue Li, Dajun Du, Hong Qian, Mi Wen, Lei Wu, Rolf Findeisen
2025 J jnl
Provable space discretization based evolutionary search for scalable multi-objective security games.
Swarm Evol. Comput.
Hong Qian, Yu-Peng Wu, Rong-Jun Qin, Xin An, Yi Chen, Aimin Zhou
2025 J jnl
Rebalancing Discriminative Responses for Knowledge Tracing.
ACM Trans. Inf. Syst.
Jiajun Cui, Hong Qian, Chanjin Zheng, Lu Wang, Mo Yu, Wei Zhang
2025 A* conf
Relation-Augmented Dueling Bayesian Optimization via Preference Propagation.
IJCAI
Xiang Xia, Xiang Shu, Shuo Liu, Yiyi Zhu, Yijie Zhou, Weiye Wang, Bingdong Li, Hong Qian
2025 A* conf
SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization.
ICLR
Hong Qian, Yiyi Zhu, Xiang Shu, Shuo Liu, Yaolin Wen, Xin An, Huakang Lu, Aimin Zhou, Ke Tang, Yang Yu
2025 A* conf
Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models.
ICML
Mingjia Li, Hong Qian, Tian-Zuo Wang, Shujun Li, Min Zhang, Aimin Zhou
2025 J jnl
Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network.
CoRR
Bingdong Li, Mei Jiang, Hong Qian, Ke Tang, Aimin Zhou, Peng Yang
2024 J jnl
A Comprehensive Exploration of Personalized Learning in Smart Education: From Student Modeling to Personalized Recommendations.
CoRR
Siyu Wu, Yang Cao, Jiajun Cui, Runze Li, Hong Qian, Bo Jiang, Wei Zhang
2024 J jnl
A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments.
CoRR
Yuanhao Liu, Shuo Liu, Yimeng Liu, Jingwen Yang, Hong Qian
2024 A* conf
A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences.
NeurIPS
Mingjia Li, Shuo Liu, Hong Qian, Aimin Zhou
2024 — conf
Automated Design Competition Technical Report: Cascaded Structure and Parameter Optimization Based on Prior Knowledge.
GECCO Companion
Xiang Shu, Yiyi Zhu, Renji Zhang, Xiang Xia, Bingdong Li, Hong Qian
2024 A* conf
Capturing Homogeneous Influence among Students: Hypergraph Cognitive Diagnosis for Intelligent Education Systems.
KDD
Junhao Shen, Hong Qian, Shuo Liu, Wei Zhang, Bo Jiang, Aimin Zhou
2024 J jnl
Co-ECL: Covariant Network with Equivariant Contrastive Learning for Oriented Object Detection in Remote Sensing Images.
Remote. Sens.
Yunsheng Zhang, Zijing Ren, Zichen Ding, Hong Qian, Haiqiang Li, Chao Tao
2024 A* conf
Cost-Efficient Fraud Risk Optimization with Submodularity in Insurance Claim.
KDD
Yupeng Wu, Zhibo Zhu, Chaoyi Ma, Hong Qian, Xingyu Lu, Yangwenhui Zhang, Xiaobo Qin, Binjie Fei, Jun Zhou, Aimin Zhou
2024 J jnl
Exact Power Spectrum in a Minimal Hybrid Model of Stochastic Gene Expression Oscillations.
SIAM J. Appl. Math.
Chen Jia, Hong Qian, Michael Q. Zhang
2024 J jnl
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models.
CoRR
Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou
2024 B conf
Fine-Grained Derivative-Free Simultaneous Optimistic Optimization with Local Gaussian Process.
SMC
Junhao Song, Yangwenhui Zhang, Hong Qian
2024 A conf
High-Dimensional Causal Bayesian Optimization.
ECAI
Yupeng Wu, Weiye Wang, Yangwenhui Zhang, Mingjia Li, Yuanhao Liu, Hong Qian, Aimin Zhou
2024 A* conf
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Intelligent Education Systems.
WWW
Shuo Liu, Junhao Shen, Hong Qian, Aimin Zhou
2024 J jnl
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems.
CoRR
Shuo Liu, Junhao Shen, Hong Qian, Aimin Zhou
2024 J jnl
Internal Energy, Fundamental Thermodynamic Relation, and Gibbs' Ensemble Theory as Emergent Laws of Statistical Counting.
Entropy
Hong Qian
2024 J jnl
It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization.
CoRR
Bingdong Li, Zixiang Di, Yanting Yang, Hong Qian, Peng Yang, Hao Hao, Ke Tang, Aimin Zhou
2024 A* conf
LASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk Assessment.
KDD
Yongfeng Gu, Yupeng Wu, Huakang Lu, Xingyu Lu, Hong Qian, Jun Zhou, Aimin Zhou
2024 J jnl
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch.
CoRR
Caigao Jiang, Xiang Shu, Hong Qian, Xingyu Lu, Jun Zhou, Aimin Zhou, Yang Yu
2024 A* conf
Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing.
KDD
Jiajun Cui, Hong Qian, Bo Jiang, Wei Zhang
2024 J jnl
Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing.
CoRR
Jiajun Cui, Hong Qian, Bo Jiang, Wei Zhang
2024 A* conf
ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems.
KDD
Hong Qian, Shuo Liu, Mingjia Li, Bingdong Li, Zhi Liu, Aimin Zhou
2024 J jnl
ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems.
CoRR
Hong Qian, Shuo Liu, Mingjia Li, Bingdong Li, Zhi Liu, Aimin Zhou
2024 J jnl
Preference Diffusion for Recommendation.
CoRR
Shuo Liu, An Zhang, Guoqing Hu, Hong Qian, Tat-Seng Chua
2024 J jnl
Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization.
Swarm Evol. Comput.
Bingdong Li, Yongfan Lu, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou
2024 A* conf
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems.
AAAI
Junhao Shen, Hong Qian, Wei Zhang, Aimin Zhou
2024 J jnl
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems.
CoRR
Junhao Shen, Hong Qian, Wei Zhang, Aimin Zhou
2024 J jnl
Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization.
CoRR
Yongfan Lu, Zixiang Di, Bingdong Li, Shengcai Liu, Hong Qian, Peng Yang, Ke Tang, Aimin Zhou
2023 J jnl
A novel cyber intrusion detection model based on improved hybrid sampling.
Trans. Inst. Meas. Control
Hong Qian, Xiantao Zhang, Chaofan Zhang, Cheng Jiang
2023 J jnl
Bi-objective evolutionary Bayesian network structure learning via skeleton constraint.
Frontiers Comput. Sci.
Ting Wu, Hong Qian, Ziqi Liu, Jun Zhou, Aimin Zhou
2023 A conf
Degradation-Resistant Offline Optimization via Accumulative Risk Control.
ECAI
Huakang Lu, Hong Qian, Yupeng Wu, Ziqi Liu, Ya-Lin Zhang, Aimin Zhou, Yang Yu
2023 A* conf
High-Dimensional Dueling Optimization with Preference Embedding.
AAAI
Yangwenhui Zhang, Hong Qian, Xiang Shu, Aimin Zhou
2023 J jnl
On the Opportunities of Green Computing: A Survey.
CoRR
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
2023 A conf
QCCDM: A Q-Augmented Causal Cognitive Diagnosis Model for Student Learning.
ECAI
Shuo Liu, Hong Qian, Mingjia Li, Aimin Zhou
2023 A conf
RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization.
GECCO
Yongfan Lu, Bingdong Li, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou
2023 — conf
SWPFOPLD: A Profiling and Optimizing Loader for SW26010Pro Processors.
ICCCS
Hong Qian, Wei Wu, Qi Zhu, Fei Wang, Jinwei Zhao, Yan Zheng
2023 J jnl
Scaling Multi-Objective Security Games Provably via Space Discretization Based Evolutionary Search.
CoRR
Yu-Peng Wu, Hong Qian, Rong-Jun Qin, Yi Chen, Aimin Zhou
2022 J jnl
A model for the intrinsic limit of cancer therapy: Duality of treatment-induced cell death and treatment-induced stemness.
PLoS Comput. Biol.
Erin Angelini, Yue Wang, Joseph Xu Zhou, Hong Qian, Sui Huang
2022 J jnl
A parallel deep learning algorithm with applications in process monitoring and fault prediction.
Comput. Electr. Eng.
Hong Qian, Bo Sun, Yuanjun Guo, Zhile Yang, Jun Ling, Wei Feng
2022 J jnl
BBTv2: Pure Black-Box Optimization Can Be Comparable to Gradient Descent for Few-Shot Learning.
CoRR
Tianxiang Sun, Zhengfu He, Hong Qian, Xuanjing Huang, Xipeng Qiu
2022 A* conf
BBTv2: Towards a Gradient-Free Future with Large Language Models.
EMNLP
Tianxiang Sun, Zhengfu He, Hong Qian, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu
2022 A* conf
Black-Box Tuning for Language-Model-as-a-Service.
ICML
Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu
2022 J jnl
Black-Box Tuning for Language-Model-as-a-Service.
CoRR
Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu
2022 J jnl
Expensive Multiobjective Optimization by Relation Learning and Prediction.
IEEE Trans. Evol. Comput.
Hao Hao, Aimin Zhou, Hong Qian, Hu Zhang
2022 — conf
High-Dimensional Discrete Bayesian Optimization with Intrinsic Dimension.
PRICAI (1)
Shu-Jun Li, Mingjia Li, Hong Qian
2022 J jnl
PS-Tree: A piecewise symbolic regression tree.
Swarm Evol. Comput.
Hengzhe Zhang, Aimin Zhou, Hong Qian, Hu Zhang
2022 J jnl
Supplier Selection Model Based on D Numbers and Transformation Function.
Int. J. Comput. Commun. Control
Leihui Xiong, Xiaoyan Su, Hong Qian
2022 A* conf
The Teaching Dimension of Regularized Kernel Learners.
ICML
Hong Qian, Xu-Hui Liu, Chen-Xi Su, Aimin Zhou, Yang Yu
2022 J jnl
Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games.
CoRR
Rong-Jun Qin, Fan-Ming Luo, Hong Qian, Yang Yu
2022 J jnl
ZOOpt: a toolbox for derivative-free optimization.
Sci. China Inf. Sci.
Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Chao Qian, Yang Yu
2021 J jnl
A synthesis of botanical informatics for vascular plants in Africa.
Ecol. Informatics
Hong Qian, Yadong Zhou, Jian Zhang, Yi Jin, Tao Deng, Shunsheng Cheng
2021 — conf
Bi-Objective Search Method for Bayesian Network Structure Learning.
CCIS
Ting Wu, Hong Qian, Aimin Zhou, Zhenzi Li
2021 J jnl
Conflicting evidence combination from the perspective of networks.
Inf. Sci.
Leihui Xiong, Xiaoyan Su, Hong Qian
2021 J jnl
Derivative-Free Reinforcement Learning: A Review.
CoRR
Hong Qian, Yang Yu
2021 J jnl
Derivative-free reinforcement learning: a review.
Frontiers Comput. Sci.
Hong Qian, Yang Yu
2021 J jnl
Machine learning steered symbolic execution framework for complex software code.
Formal Aspects Comput.
Lei Bu, Yongjuan Liang, Zhunyi Xie, Hong Qian, Yi-Qi Hu, Yang Yu, Xin Chen, Xuandong Li
2021 — conf
Parallel Region Reconstruction Technique for Sunway High-Performance Multi-core Processors.
ICPCSEE (1)
Kai Nie, Qinglei Zhou, Hong Qian, Jianmin Pang, Jinlong Xu, Yapeng Li
2021 — conf
Research on Full-Chip Programming for Sunway Heterogeneous Many-core Processor.
WSSE
Wei Wu, Hong Qian, Qi Zhu, Jue Wang, Xingjian Fan
2020 J jnl
Counting single cells and computing their heterogeneity: from phenotypic frequencies to mean value of a quantitative biomarker.
Quant. Biol.
Hong Qian, Yu-Chen Cheng
2020 J jnl
Identification of Biomolecular Information in Rotenone-Induced Cellular Model of Parkinson's Disease by Public Microarray Data Analysis.
J. Comput. Biol.
Fan Yu, Zhong-Sen Le, Li-Hua Chen, Hong Qian, Bo Yu, Wen-Hua Chen
2020 J jnl
International Workshop on Applications of Probability and Statistics to Biology, July 11-13, 2019.
Quant. Biol.
Minghua Deng, Jianfeng Feng, Hong Qian, Lin Wan, Fengzhu Sun
2020 J jnl
Representations and divergences in the space of probability measures and stochastic thermodynamics.
J. Comput. Appl. Math.
Liu Hong, Hong Qian, Lowell F. Thompson
2020 — conf
Research on Fusion of Dependent Evidence Based on Kendall Correlation Coefficient.
CSAE
Jie Zhou, Xiaoyan Su, Hong Qian
2020 J jnl
Research on early fault warning system of coal mills based on the combination of thermodynamics and data mining.
Trans. Inst. Meas. Control
Pengcheng Zhu, Hong Qian, Tingting Chai
2020 J jnl
Risk Assessment on Offshore Photovoltaic Power Generation Projects in China Using D Numbers and ANP.
IEEE Access
Jie Zhou, Xiaoyan Su, Hong Qian
2020 J jnl
Synchronization in Discrete-Time, Discrete-State Random Dynamical Systems.
SIAM J. Appl. Dyn. Syst.
Wen Huang, Hong Qian, Shirou Wang, Felix X.-F. Ye, Yingfei Yi
2019 J jnl
A new rule to combine dependent bodies of evidence.
Soft Comput.
Xiaoyan Su, Lusu Li, Hong Qian, Sankaran Mahadevan, Yong Deng
2019 — conf
Asynchronous classification-based optimization.
DAI
Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu
2019 J jnl
Research on Pressurizer Pressure Control Based on Adaptive Prediction Algorithm.
Complex.
Hong Qian, Yuan Yuan, Yu Wang, Gaofeng Jiang, Ting Yang
2019 J jnl
Ternary Representation of Stochastic Change and the Origin of Entropy and Its Fluctuations.
CoRR
Hong Qian, Yu-Chen Cheng, Lowell F. Thompson
2018 C conf
Decision Making with Linguistic Information Based on D Numbers and OWAWA Operator.
FUSION
Xiaoyan Su, Fengjian Shi, Xinyang Deng, Yong Deng, Hong Qian
2018 J jnl
Dynamic Looping of a Free-Draining Polymer.
SIAM J. Appl. Math.
Felix X.-F. Ye, Panos Stinis, Hong Qian
2018 A* conf
Noisy Derivative-Free Optimization With Value Suppression.
AAAI
Hong Wang, Hong Qian, Yang Yu
2018 J jnl
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.
Hao Ge, Pingping Wu, Hong Qian, X. Sunney Xie
2018 J jnl
Research on the Fusion of Dependent Evidence Based on Mutual Information.
IEEE Access
Xiaoyan Su, Lusu Li, Fengjian Shi, Hong Qian
2018 J jnl
ZOOpt/ZOOjl: Toolbox for Derivative-Free Optimization.
CoRR
Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu, Chao Qian
2017 — conf
Design of Adaptive Predictive Controller for Superheated Steam Temperature Control in Thermal Power Plant.
LSMS/ICSEE (3)
Hong Qian, Yu-qing Feng, Zi-bin Zheng
2017 — conf
Research on Expert Knowledge Base of Intelligent Diagnosis Based on Tubing Leakage of High-Pressure Heater in Nuclear Power Plant.
LSMS/ICSEE (3)
Miao Zheng, Hong Qian, Siyun Lin, Bole Xiao, Xiaoping Chu
2017 — conf
Research on Intelligent Early-Warning System of Main Pipeline in Nuclear Power Plants Based on Hierarchical and Multidimensional Fault Identification Method.
LSMS/ICSEE (3)
Hong Qian, Siyun Lin, Miao Zheng, Qiang Zhang
2017 J jnl
Research on the Fusion of Dependent Evidence Based on Rank Correlation Coefficient.
Sensors
Fengjian Shi, Xiaoyan Su, Hong Qian, Ning Yang, Wenhua Han
2017 A* conf
Sequential Classification-Based Optimization for Direct Policy Search.
AAAI
Yi-Qi Hu, Hong Qian, Yang Yu
2017 A* conf
Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions.
AAAI
Hong Qian, Yang Yu
2017 — conf
The Early Warning System of Nuclear Power Station Oriented to Human Reliability.
LSMS/ICSEE (3)
Shuai Ren, Hong Qian
2016 A* conf
Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings.
IJCAI
Hong Qian, Yi-Qi Hu, Yang Yu
2016 A* conf
Derivative-Free Optimization via Classification.
AAAI
Yang Yu, Hong Qian, Yi-Qi Hu
2016 J jnl
Nonlinear Stochastic Dynamics of Complex Systems, III: Nonequilibrium Thermodynamics of Self-Replication Kinetics.
IEEE Trans. Mol. Biol. Multi Scale Commun.
David B. Saakian, Hong Qian
2016 B conf
On sampling-and-classification optimization in discrete domains.
CEC
Hong Qian, Yang Yu
2016 J jnl
Potential of Entropic Force in Markov Systems with Nonequilibrium Steady State, Generalized Gibbs Function and Criticality.
Entropy
Lowell F. Thompson, Hong Qian
2016 A* conf
Scaling Simultaneous Optimistic Optimization for High-Dimensional Non-Convex Functions with Low Effective Dimensions.
AAAI
Hong Qian, Yang Yu
2016 A* conf
Symbolic execution of complex program driven by machine learning based constraint solving.
ASE
Xin Li, Yongjuan Liang, Hong Qian, Yi-Qi Hu, Lei Bu, Yang Yu, Xin Chen, Xuandong Li
2015 J jnl
Global relationships between beta diversity and latitude after accounting for regional diversity.
Ecol. Informatics
Hong Qian, Xianli Wang
2014 J jnl
Fitness and entropy production in a cell population dynamics with epigenetic phenotype switching.
Quant. Biol.
Hong Qian
2014 J jnl
The Sampling-and-Learning Framework: A Statistical View of Evolutionary Algorithms.
CoRR
Yang Yu, Hong Qian
2014 B conf
The sampling-and-learning framework: A statistical view of evolutionary algorithms.
IEEE Congress on Evolutionary Computation
Yang Yu, Hong Qian
2013 J jnl
Stochastic physics, complex systems and biology.
Quant. Biol.
Hong Qian
2010 — conf
Design and implement the deaerator level digital control system of nuclear station.
FSKD
Chao Li, Hong Qian, Yuzhen Sun, Wang Du
2009 J jnl
Computational Cellular Dynamics Based on the Chemical Master Equation: A Challenge for Understanding Complexity.
J. Comput. Sci. Technol.
Jie Liang, Hong Qian
2008 C conf
A Proxy Agent for Small Network-Enabled Devices.
IPCCC
Hong Qian, Karen Lu, Asad M. Ali
2008 J jnl
Linear analysis near a steady-state of biochemical networks: control analysis, correlation metrics and circuit theory.
BMC Syst. Biol.
William J. Heuett, Daniel A. Beard, Hong Qian
2008 C conf
Topology-based Variable Ordering Strategy for Solving Disjunctive Temporal Problems.
TIME
Yuechang Liu, Yunfei Jiang, Hong Qian
2007 J jnl
Assessment of algorithms for high throughput detection of genomic copy number variation in oligonucleotide microarray data.
BMC Bioinform.
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
2007 C conf
Graph-DTP: Graph-Based Algorithm for Solving Disjunctive Temporal Problems.
TIME
Yuechang Liu, Hong Qian, Yunfei Jiang
2007 J jnl
On the existence of potential landscape in the evolution of complex systems
CoRR
Ping Ao, Chulan Kwon, Hong Qian
2007 J jnl
On the existence of potential landscape in the evolution of complex systems.
Complex.
Ping Ao, Chulan Kwon, Hong Qian
2007 J jnl
Quantitative Model for Binary Measurements of Protein-Protein Interactions.
J. Comput. Biol.
Yi Y. Shi, Gerald A. Miller, Oleg Denisenko, Hong Qian, Karol Bomsztyk
2006 J jnl
Combining Flux and Energy Balance Analysis to Model Large-scale Biochemical Networks.
J. Bioinform. Comput. Biol.
William J. Heuett, Hong Qian
2001 J jnl
A simple method of parameter space determination for diffusion-driven instability with three species.
Appl. Math. Lett.
Hong Qian, James D. Murray