A simple method of parameter space determination for diffusion-driven instability with three species. - Hong Qian; James D. Murray 001 (Appl. Math. Lett., 2001)

Combining Flux and Energy Balance Analysis to Model Large-scale Biochemical Networks. - William J. Heuett; Hong Qian (J. Bioinform. Comput. Biol., 2006)

Graph-DTP: Graph-Based Algorithm for Solving Disjunctive Temporal Problems. - Yuechang Liu; Hong Qian; Yunfei Jiang (TIME, 2007)

Assessment of algorithms for high throughput detection of genomic copy number variation in oligonucleotide microarray data. - 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; et al. (BMC Bioinform., 2007)

On the existence of potential landscape in the evolution of complex systems. - Ping Ao; Chulan Kwon; Hong Qian (Complex., 2007)

Quantitative Model for Binary Measurements of Protein-Protein Interactions. - Yi Y. Shi; Gerald A. Miller; Oleg Denisenko; Hong Qian; Karol Bomsztyk (J. Comput. Biol., 2007)

A Proxy Agent for Small Network-Enabled Devices. - Hong Qian; Karen Lu; Asad M. Ali (IPCCC, 2008)

Topology-based Variable Ordering Strategy for Solving Disjunctive Temporal Problems. - Yuechang Liu; Yunfei Jiang; Hong Qian (TIME, 2008)

Linear analysis near a steady-state of biochemical networks: control analysis, correlation metrics and circuit theory. - William J. Heuett; Daniel A. Beard; Hong Qian (BMC Syst. Biol., 2008)

Computational Cellular Dynamics Based on the Chemical Master Equation: A Challenge for Understanding Complexity. - Jie Liang 002; Hong Qian (J. Comput. Sci. Technol., 2009)

Design and implement the deaerator level digital control system of nuclear station. - Chao Li; Hong Qian; Yuzhen Sun; Wang Du (FSKD, 2010)

Stochastic physics, complex systems and biology. - Hong Qian (Quant. Biol., 2013)

The sampling-and-learning framework: A statistical view of evolutionary algorithms. - Yang Yu 001; Hong Qian (IEEE Congress on Evolutionary Computation, 2014)

Fitness and entropy production in a cell population dynamics with epigenetic phenotype switching. - Hong Qian (Quant. Biol., 2014)

Global relationships between beta diversity and latitude after accounting for regional diversity. - Hong Qian; Xianli Wang (Ecol. Informatics, 2015)

Scaling Simultaneous Optimistic Optimization for High-Dimensional Non-Convex Functions with Low Effective Dimensions. - Hong Qian; Yang Yu 001 (AAAI, 2016)

Derivative-Free Optimization via Classification. - Yang Yu 001; Hong Qian; Yi-Qi Hu (AAAI, 2016)

On sampling-and-classification optimization in discrete domains. - Hong Qian; Yang Yu 001 (CEC, 2016)

Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings. - Hong Qian; Yi-Qi Hu; Yang Yu 001 (IJCAI, 2016)

Symbolic execution of complex program driven by machine learning based constraint solving. - Xin Li; Yongjuan Liang; Hong Qian; Yi-Qi Hu; Lei Bu; Yang Yu 001; Xin Chen 027; Xuandong Li (ASE, 2016)

Potential of Entropic Force in Markov Systems with Nonequilibrium Steady State, Generalized Gibbs Function and Criticality. - Lowell F. Thompson; Hong Qian (Entropy, 2016)

Nonlinear Stochastic Dynamics of Complex Systems, III: Nonequilibrium Thermodynamics of Self-Replication Kinetics. - David B. Saakian; Hong Qian (IEEE Trans. Mol. Biol. Multi Scale Commun., 2016)

Sequential Classification-Based Optimization for Direct Policy Search. - Yi-Qi Hu; Hong Qian; Yang Yu 001 (AAAI, 2017)

Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions. - Hong Qian; Yang Yu 001 (AAAI, 2017)

Design of Adaptive Predictive Controller for Superheated Steam Temperature Control in Thermal Power Plant. - Hong Qian; Yu-qing Feng; Zi-bin Zheng (LSMS/ICSEE (3), 2017)

Research on Intelligent Early-Warning System of Main Pipeline in Nuclear Power Plants Based on Hierarchical and Multidimensional Fault Identification Method. - Hong Qian; Siyun Lin; Miao Zheng; Qiang Zhang (LSMS/ICSEE (3), 2017)

The Early Warning System of Nuclear Power Station Oriented to Human Reliability. - Shuai Ren; Hong Qian (LSMS/ICSEE (3), 2017)

Research on Expert Knowledge Base of Intelligent Diagnosis Based on Tubing Leakage of High-Pressure Heater in Nuclear Power Plant. - Miao Zheng; Hong Qian; Siyun Lin; Bole Xiao; Xiaoping Chu (LSMS/ICSEE (3), 2017)

Research on the Fusion of Dependent Evidence Based on Rank Correlation Coefficient. - Fengjian Shi; Xiaoyan Su; Hong Qian; Ning Yang; Wenhua Han (Sensors, 2017)

Noisy Derivative-Free Optimization With Value Suppression. - Hong Wang; Hong Qian; Yang Yu 001 (AAAI, 2018)

Decision Making with Linguistic Information Based on D Numbers and OWAWA Operator. - Xiaoyan Su; Fengjian Shi; Xinyang Deng; Yong Deng 001; Hong Qian (FUSION, 2018)

Research on the Fusion of Dependent Evidence Based on Mutual Information. - Xiaoyan Su; Lusu Li; Fengjian Shi; Hong Qian (IEEE Access, 2018)

ZOOpt/ZOOjl: Toolbox for Derivative-Free Optimization. - Yu-Ren Liu; Yi-Qi Hu; Hong Qian; Yang Yu 001; Chao Qian 001 (CoRR, 2018)

Relatively slow stochastic gene-state switching in the presence of positive feedback significantly broadens the region of bimodality through stabilizing the uninduced phenotypic state. - Hao Ge; Pingping Wu; Hong Qian; X. Sunney Xie (PLoS Comput. Biol., 2018)

Dynamic Looping of a Free-Draining Polymer. - Felix X.-F. Ye; Panos Stinis; Hong Qian (SIAM J. Appl. Math., 2018)

Asynchronous classification-based optimization. - Yu-Ren Liu; Yi-Qi Hu; Hong Qian; Yang Yu 001 (DAI, 2019)

Research on Pressurizer Pressure Control Based on Adaptive Prediction Algorithm. - Hong Qian; Yuan Yuan 011; Yu Wang; Gaofeng Jiang; Ting Yang (Complex., 2019)

Ternary Representation of Stochastic Change and the Origin of Entropy and Its Fluctuations. - Hong Qian; Yu-Chen Cheng; Lowell F. Thompson (CoRR, 2019)

A new rule to combine dependent bodies of evidence. - Xiaoyan Su; Lusu Li; Hong Qian; Sankaran Mahadevan; Yong Deng 001 (Soft Comput., 2019)

Research on Fusion of Dependent Evidence Based on Kendall Correlation Coefficient. - Jie Zhou 018; Xiaoyan Su; Hong Qian (CSAE, 2020)

Risk Assessment on Offshore Photovoltaic Power Generation Projects in China Using D Numbers and ANP. - Jie Zhou 018; Xiaoyan Su; Hong Qian (IEEE Access, 2020)

Representations and divergences in the space of probability measures and stochastic thermodynamics. - Liu Hong; Hong Qian; Lowell F. Thompson (J. Comput. Appl. Math., 2020)

Identification of Biomolecular Information in Rotenone-Induced Cellular Model of Parkinson's Disease by Public Microarray Data Analysis. - Fan Yu; Zhong-Sen Le; Li-Hua Chen; Hong Qian; Bo Yu; Wen-Hua Chen 001 (J. Comput. Biol., 2020)

International Workshop on Applications of Probability and Statistics to Biology, July 11-13, 2019. - Minghua Deng; Jianfeng Feng; Hong Qian; Lin Wan; Fengzhu Sun (Quant. Biol., 2020)

Counting single cells and computing their heterogeneity: from phenotypic frequencies to mean value of a quantitative biomarker. - Hong Qian; Yu-Chen Cheng (Quant. Biol., 2020)

Synchronization in Discrete-Time, Discrete-State Random Dynamical Systems. - Wen Huang; Hong Qian; Shirou Wang; Felix X.-F. Ye; Yingfei Yi (SIAM J. Appl. Dyn. Syst., 2020)

Research on early fault warning system of coal mills based on the combination of thermodynamics and data mining. - Pengcheng Zhu 003; Hong Qian; Tingting Chai (Trans. Inst. Meas. Control, 2020)

Bi-Objective Search Method for Bayesian Network Structure Learning. - Ting Wu; Hong Qian; Aimin Zhou; Zhenzi Li (CCIS, 2021)

Parallel Region Reconstruction Technique for Sunway High-Performance Multi-core Processors. - Kai Nie; Qinglei Zhou; Hong Qian; Jianmin Pang; Jinlong Xu; Yapeng Li (ICPCSEE (1), 2021)

Research on Full-Chip Programming for Sunway Heterogeneous Many-core Processor. - Wei Wu; Hong Qian; Qi Zhu; Jue Wang; XingJian Fan (WSSE, 2021)

Derivative-Free Reinforcement Learning: A Review. - Hong Qian; Yang Yu 001 (CoRR, 2021)

A synthesis of botanical informatics for vascular plants in Africa. - Hong Qian; Yadong Zhou; Jian Zhang; Yi Jin; Tao Deng; Shunsheng Cheng (Ecol. Informatics, 2021)

Machine learning steered symbolic execution framework for complex software code. - Lei Bu; Yongjuan Liang; Zhunyi Xie; Hong Qian; Yi-Qi Hu; Yang Yu 001; Xin Chen 027; Xuandong Li (Formal Aspects Comput., 2021)

Derivative-free reinforcement learning: a review. - Hong Qian; Yang Yu (Frontiers Comput. Sci., 2021)

Conflicting evidence combination from the perspective of networks. - Leihui Xiong; Xiaoyan Su; Hong Qian (Inf. Sci., 2021)

BBTv2: Towards a Gradient-Free Future with Large Language Models. - Tianxiang Sun; Zhengfu He; Hong Qian; Yunhua Zhou; Xuanjing Huang 001; Xipeng Qiu (EMNLP, 2022)

The Teaching Dimension of Regularized Kernel Learners. - Hong Qian; Xu-Hui Liu; Chen-Xi Su; Aimin Zhou; Yang Yu 001 (ICML, 2022)

Black-Box Tuning for Language-Model-as-a-Service. - Tianxiang Sun; Yunfan Shao; Hong Qian; Xuanjing Huang 001; Xipeng Qiu (ICML, 2022)

High-Dimensional Discrete Bayesian Optimization with Intrinsic Dimension. - Shu-Jun Li; Mingjia Li 002; Hong Qian (PRICAI (1), 2022)

A parallel deep learning algorithm with applications in process monitoring and fault prediction. - Hong Qian; Bo Sun; Yuanjun Guo; Zhile Yang; Jun Ling; Wei Feng 009 (Comput. Electr. Eng., 2022)

ZOOpt: a toolbox for derivative-free optimization. - Yu-Ren Liu; Yi-Qi Hu; Hong Qian; Chao Qian 001; Yang Yu 001 (Sci. China Inf. Sci., 2022)

BBTv2: Pure Black-Box Optimization Can Be Comparable to Gradient Descent for Few-Shot Learning. - Tianxiang Sun; Zhengfu He; Hong Qian; Xuanjing Huang 001; Xipeng Qiu (CoRR, 2022)

Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games. - Rong-Jun Qin; Fan-Ming Luo; Hong Qian; Yang Yu 001 (CoRR, 2022)

A model for the intrinsic limit of cancer therapy: Duality of treatment-induced cell death and treatment-induced stemness. - Erin Angelini; Yue Wang 093; Joseph Xu Zhou; Hong Qian; Sui Huang (PLoS Comput. Biol., 2022)

PS-Tree: A piecewise symbolic regression tree. - Hengzhe Zhang; Aimin Zhou; Hong Qian; Hu Zhang 002 (Swarm Evol. Comput., 2022)

Expensive Multiobjective Optimization by Relation Learning and Prediction. - Hao Hao; Aimin Zhou; Hong Qian; Hu Zhang 002 (IEEE Trans. Evol. Comput., 2022)

Supplier Selection Model Based on D Numbers and Transformation Function. - Leihui Xiong; Xiaoyan Su; Hong Qian (Int. J. Comput. Commun. Control, 2022)

High-Dimensional Dueling Optimization with Preference Embedding. - Yangwenhui Zhang; Hong Qian; Xiang Shu; Aimin Zhou (AAAI, 2023)

SWPFOPLD: A Profiling and Optimizing Loader for SW26010Pro Processors. - Hong Qian; Wei Wu; Qi Zhu; Fei Wang; Jinwei Zhao; Yan Zheng (ICCCS, 2023)

QCCDM: A Q-Augmented Causal Cognitive Diagnosis Model for Student Learning. - Shuo Liu 017; Hong Qian; Mingjia Li 002; Aimin Zhou (ECAI, 2023)

Degradation-Resistant Offline Optimization via Accumulative Risk Control. - Huakang Lu; Hong Qian; Yupeng Wu; Ziqi Liu; Ya-Lin Zhang 001; Aimin Zhou; Yang Yu 001 (ECAI, 2023)

RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization. - Yongfan Lu; Bingdong Li; Hong Qian; Wenjing Hong; Peng Yang 008; Aimin Zhou (GECCO, 2023)

Scaling Multi-Objective Security Games Provably via Space Discretization Based Evolutionary Search. - Yu-Peng Wu; Hong Qian; Rong-Jun Qin; Yi Chen; Aimin Zhou (CoRR, 2023)

On the Opportunities of Green Computing: A Survey. - You Zhou; Xiujing Lin; Xiang Zhang 001; Maolin Wang 001; Gangwei Jiang; Huakang Lu; Yupeng Wu; Kai Zhang 038; Zhe Yang; Kehang Wang; Yongduo Sui; Fengwei Jia; et al. (CoRR, 2023)

A novel cyber intrusion detection model based on improved hybrid sampling. - Hong Qian; Xiantao Zhang; Chaofan Zhang; Cheng Jiang (Trans. Inst. Meas. Control, 2023)

Bi-objective evolutionary Bayesian network structure learning via skeleton constraint. - Ting Wu; Hong Qian; Ziqi Liu; Jun Zhou 011; Aimin Zhou (Frontiers Comput. Sci., 2023)

Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems. - Junhao Shen 001; Hong Qian; Wei Zhang 056; Aimin Zhou (AAAI, 2024)

High-Dimensional Causal Bayesian Optimization. - Yupeng Wu; Weiye Wang; Yangwenhui Zhang; Mingjia Li 002; Yuanhao Liu; Hong Qian; Aimin Zhou (ECAI, 2024)

Automated Design Competition Technical Report: Cascaded Structure and Parameter Optimization Based on Prior Knowledge. - Xiang Shu; Yiyi Zhu; Renji Zhang; Xiang Xia; Bingdong Li; Hong Qian (GECCO Companion, 2024)

Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing. - Jiajun Cui; Hong Qian; Bo Jiang 016; Wei Zhang 056 (KDD, 2024)

LASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk Assessment. - Yongfeng Gu; Yupeng Wu; Huakang Lu; Xingyu Lu; Hong Qian; Jun Zhou 011; Aimin Zhou (KDD, 2024)

ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems. - Hong Qian; Shuo Liu 017; Mingjia Li 002; Bingdong Li; Zhi Liu; Aimin Zhou (KDD, 2024)

Capturing Homogeneous Influence among Students: Hypergraph Cognitive Diagnosis for Intelligent Education Systems. - Junhao Shen 001; Hong Qian; Shuo Liu 017; Wei Zhang 056; Bo Jiang 016; Aimin Zhou (KDD, 2024)

Cost-Efficient Fraud Risk Optimization with Submodularity in Insurance Claim. - Yupeng Wu; Zhibo Zhu; Chaoyi Ma; Hong Qian; Xingyu Lu; Yangwenhui Zhang; Xiaobo Qin; Binjie Fei; Jun Zhou 011; Aimin Zhou (KDD, 2024)

A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences. - Mingjia Li 002; Shuo Liu 017; Hong Qian; Aimin Zhou (NeurIPS, 2024)

Fine-Grained Derivative-Free Simultaneous Optimistic Optimization with Local Gaussian Process. - Junhao Song; Yangwenhui Zhang; Hong Qian (SMC, 2024)

Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Intelligent Education Systems. - Shuo Liu 017; Junhao Shen 001; Hong Qian; Aimin Zhou (WWW, 2024)

A Comprehensive Exploration of Personalized Learning in Smart Education: From Student Modeling to Personalized Recommendations. - Siyu Wu; Yang Cao 021; Jiajun Cui; Runze Li; Hong Qian; Bo Jiang 016; Wei Zhang 056 (CoRR, 2024)

Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems. - Shuo Liu 017; Junhao Shen 001; Hong Qian; Aimin Zhou (CoRR, 2024)

Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. - Yongfan Lu; Zixiang Di; Bingdong Li; Shengcai Liu; Hong Qian; Peng Yang 008; Ke Tang 001; Aimin Zhou (CoRR, 2024)

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. - Bingdong Li; Zixiang Di; Yongfan Lu; Hong Qian; Feng Wang; Peng Yang 008; Ke Tang 001; Aimin Zhou (CoRR, 2024)

It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization. - Bingdong Li; Zixiang Di; Yanting Yang; Hong Qian; Peng Yang 008; Hao Hao; Ke Tang 001; Aimin Zhou (CoRR, 2024)

LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch. - Caigao Jiang; Xiang Shu; Hong Qian; Xingyu Lu; Jun Zhou 011; Aimin Zhou; Yang Yu (CoRR, 2024)

A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments. - Yuanhao Liu; Shuo Liu; Yimeng Liu; Jingwen Yang; Hong Qian (CoRR, 2024)

Exact Power Spectrum in a Minimal Hybrid Model of Stochastic Gene Expression Oscillations. - Chen Jia; Hong Qian; Michael Q. Zhang (SIAM J. Appl. Math., 2024)

Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization. - Bingdong Li; Yongfan Lu; Hong Qian; Wenjing Hong; Peng Yang 008; Aimin Zhou (Swarm Evol. Comput., 2024)

Co-ECL: Covariant Network with Equivariant Contrastive Learning for Oriented Object Detection in Remote Sensing Images. - Yunsheng Zhang; Zijing Ren; Zichen Ding 001; Hong Qian; Haiqiang Li; Chao Tao (Remote. Sens., 2024)

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. - Bingdong Li; Zixiang Di; Yongfan Lu; Hong Qian; Feng Wang; Peng Yang; Ke Tang 001; Aimin Zhou (AAAI, 2025)

Constrained Offline Black-Box Optimization via Risk Evaluation and Management. - Yiyi Zhu; Huakang Lu; Yupeng Wu; Shuo Liu; Jing-Wen Yang 001; Hong Qian (AAAI, 2025)

LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch. - Caigao Jiang; Xiang Shu; Hong Qian; Xingyu Lu; Jun Zhou; Aimin Zhou; Yang Yu (ICLR, 2025)

Preference Diffusion for Recommendation. - Shuo Liu 017; An Zhang 003; Guoqing Hu; Hong Qian; Tat-Seng Chua (ICLR, 2025)

SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization. - Hong Qian; Yiyi Zhu; Xiang Shu; Shuo Liu; Yaolin Wen; Xin An; Huakang Lu; Aimin Zhou; Ke Tang 001; Yang Yu 001 (ICLR, 2025)

InCLET: Large Language Model In-context Learning can Improve Embodied Instruction-following. - Peng-Yuan Wang; Jing-Cheng Pang; Chenyang Wang; Xu-Hui Liu; Tian-Shuo Liu; Si-Hang Yang; Hong Qian; Yang Yu (AAMAS, 2025)

Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis. - Shuo Liu 017; Zihan Zhou; Yuanhao Liu; Jing Zhang; Hong Qian (KDD (1), 2025)

A novel belief entropy and its application in cooperative situational awareness. - Xiaoyan Su; Jian Zhong; Ziying Hong; Hong Qian; Danilo Pelusi (Expert Syst. Appl., 2025)

Provable space discretization based evolutionary search for scalable multi-objective security games. - Hong Qian; Yu-Peng Wu; Rong-Jun Qin; Xin An; Yi Chen; Aimin Zhou (Swarm Evol. Comput., 2025)

Diversity-enhanced hyper-heuristics for multi-objective dynamic flexible job shop scheduling. - Yuan Shi; Yaoming Yang; Bingdong Li; Hong Qian; Hao Hao; Aimin Zhou (Swarm Evol. Comput., 2025)

Extended Information Geometry: Large Deviation Theory, Statistical Thermodynamics, and Empirical Counting Frequencies. - Viswa Virinchi Muppirala; Hong Qian (CoRR, 2025)

Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis. - Shuo Li 001; Zihan Zhou; Yuanhao Liu; Jing Zhang; Hong Qian (CoRR, 2025)

Foundation model enhanced derivative-free cognitive diagnosis. - Mingjia Li 002; Hong Qian; Jinglan Lv; Mengliang He; Wei Zhang; Aimin Zhou (Frontiers Comput. Sci., 2025)

Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network. - Bingdong Li; Mei Jiang; Hong Qian; Ke Tang 001; Aimin Zhou; Peng Yang 008 (CoRR, 2025)

Rebalancing Discriminative Responses for Knowledge Tracing. - Jiajun Cui; Hong Qian; Chanjin Zheng; Lu Wang 029; Mo Yu; Wei Zhang 056 (ACM Trans. Inf. Syst., 2025)

Privacy Preservation for Cloud-Edge-Collaborative Energy Management System Using Post-Quantum Homomorphic Encryption. - Cheng Jiang; Xue Li 028; Dajun Du; Hong Qian; Mi Wen; Lei Wu 004; Rolf Findeisen (IEEE Trans. Smart Grid, 2025)