| 2026 | ACL | AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity Assessment. | Yixuan Wang, Yue Huang, Hong Qian, Yunzhao Wei, Yifei Ding, Wenkai Wang, Zhi Liu, Zhongjing Huang, Aimin Zhou, Jiajun Guo |
| 2026 | WWW | Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling. | Yuanhao Liu, Zihan Zhou, Kaiying Wu, Shuo Liu, Yiyang Huang, Jiajun Guo, Aimin Zhou, Hong Qian |
| 2025 | AAAI | Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. | Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou |
| 2025 | AAAI | Constrained Offline Black-Box Optimization via Risk Evaluation and Management. | Yiyi Zhu, Huakang Lu, Yupeng Wu, Shuo Liu, Jing-Wen Yang, Hong Qian |
| 2025 | ECAI | A Style-Aware Polytomous Diagnostic Model for Individual Traits. | Yixuan Wang, Jiale Feng, Yue Huang, Xuruo Pan, Zhongjing Huang, Zhi Liu, Hong Qian |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Preference Diffusion for Recommendation. | Shuo Liu, An Zhang, Guoqing Hu, Hong Qian, Tat-Seng Chua |
| 2025 | ICLR | 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, Yang Yu |
| 2025 | ICML | Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models. | Mingjia Li, Hong Qian, Tian-Zuo Wang, Shujun Li, Min Zhang, Aimin Zhou |
| 2025 | IJCAI | A Fast-Adaptive Cognitive Diagnosis Framework for Computerized Adaptive Testing Systems. | Yuanhao Liu, Yiya You, Shuo Liu, Hong Qian, Ying Qian, Aimin Zhou |
| 2025 | IJCAI | Relation-Augmented Dueling Bayesian Optimization via Preference Propagation. | Xiang Xia, Xiang Shu, Shuo Liu, Yiyi Zhu, Yijie Zhou, Weiye Wang, Bingdong Li, Hong Qian |
| 2025 | KDD | Paper-Level Computerized Adaptive Testing for High-Stakes Examination via Multi-Objective Optimization. | Mingjia Li, Junkai Tong, Yiyang Huang, Yifei Ding, Hong Qian, Aimin Zhou |
| 2025 | KDD | A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments. | Yuanhao Liu, Shuo Liu, Yimeng Liu, Chanjin Zheng, Wei Zhang, Hong Qian |
| 2025 | KDD | Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis. | Shuo Liu, Zihan Zhou, Yuanhao Liu, Jing Zhang, Hong Qian |
| 2024 | AAAI | Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems. | Junhao Shen, Hong Qian, Wei Zhang, Aimin Zhou |
| 2024 | ECAI | High-Dimensional Causal Bayesian Optimization. | Yupeng Wu, Weiye Wang, Yangwenhui Zhang, Mingjia Li, Yuanhao Liu, Hong Qian, Aimin Zhou |
| 2024 | GECCO | 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 |
| 2024 | HPCC | swYAKL: A Data Parallel Runtime on Manycore Architecture. | Yanwei Ye, Junshi Chen, Hong Qian, Kunxian Lin, Yuanhang Li, Hong An |
| 2024 | KDD | Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing. | Jiajun Cui, Hong Qian, Bo Jiang, Wei Zhang |
| 2024 | KDD | LASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk Assessment. | Yongfeng Gu, Yupeng Wu, Huakang Lu, Xingyu Lu, Hong Qian, Jun Zhou, Aimin Zhou |
| 2024 | KDD | ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems. | Hong Qian, Shuo Liu, Mingjia Li, Bingdong Li, Zhi Liu, Aimin Zhou |
| 2024 | KDD | Capturing Homogeneous Influence among Students: Hypergraph Cognitive Diagnosis for Intelligent Education Systems. | Junhao Shen, Hong Qian, Shuo Liu, Wei Zhang, Bo Jiang, Aimin Zhou |
| 2024 | KDD | 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, Aimin Zhou |
| 2024 | SMC | Fine-Grained Derivative-Free Simultaneous Optimistic Optimization with Local Gaussian Process. | Junhao Song, Yangwenhui Zhang, Hong Qian |
| 2024 | WWW | Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Intelligent Education Systems. | Shuo Liu, Junhao Shen, Hong Qian, Aimin Zhou |
| 2023 | AAAI | High-Dimensional Dueling Optimization with Preference Embedding. | Yangwenhui Zhang, Hong Qian, Xiang Shu, Aimin Zhou |
| 2023 | ECAI | QCCDM: A Q-Augmented Causal Cognitive Diagnosis Model for Student Learning. | Shuo Liu, Hong Qian, Mingjia Li, Aimin Zhou |
| 2023 | ECAI | Degradation-Resistant Offline Optimization via Accumulative Risk Control. | Huakang Lu, Hong Qian, Yupeng Wu, Ziqi Liu, Ya-Lin Zhang, Aimin Zhou, Yang Yu |
| 2023 | GECCO | RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization. | Yongfan Lu, Bingdong Li, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou |
| 2022 | EMNLP | BBTv2: Towards a Gradient-Free Future with Large Language Models. | Tianxiang Sun, Zhengfu He, Hong Qian, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu |
| 2022 | ICML | The Teaching Dimension of Regularized Kernel Learners. | Hong Qian, Xu-Hui Liu, Chen-Xi Su, Aimin Zhou, Yang Yu |
| 2022 | ICML | Black-Box Tuning for Language-Model-as-a-Service. | Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu |
| 2022 | PRICAI | High-Dimensional Discrete Bayesian Optimization with Intrinsic Dimension. | Shujun Li, Mingjia Li, Hong Qian |
| 2018 | AAAI | Noisy Derivative-Free Optimization With Value Suppression. | Hong Wang, Hong Qian, Yang Yu |
| 2018 | FUSION | Decision Making with Linguistic Information Based on D Numbers and OWAWA Operator. | Xiaoyan Su, Fengjian Shi, Xinyang Deng, Yong Deng, Hong Qian |
| 2017 | AAAI | Sequential Classification-Based Optimization for Direct Policy Search. | Yi-Qi Hu, Hong Qian, Yang Yu |
| 2017 | AAAI | Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions. | Hong Qian, Yang Yu |
| 2016 | AAAI | Scaling Simultaneous Optimistic Optimization for High-Dimensional Non-Convex Functions with Low Effective Dimensions. | Hong Qian, Yang Yu |
| 2016 | AAAI | Derivative-Free Optimization via Classification. | Yang Yu, Hong Qian, Yi-Qi Hu |
| 2016 | CEC | On sampling-and-classification optimization in discrete domains. | Hong Qian, Yang Yu |
| 2016 | IJCAI | Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings. | Hong Qian, Yi-Qi Hu, Yang Yu |
| 2014 | CEC | The sampling-and-learning framework: A statistical view of evolutionary algorithms. | Yang Yu, Hong Qian |
| 2008 | IPCCC | A Proxy Agent for Small Network-Enabled Devices. | Hong Qian, Karen Lu, Asad M. Ali |
| 2008 | TIME | Topology-based Variable Ordering Strategy for Solving Disjunctive Temporal Problems. | Yuechang Liu, Yunfei Jiang, Hong Qian |
| 2007 | TIME | Graph-DTP: Graph-Based Algorithm for Solving Disjunctive Temporal Problems. | Yuechang Liu, Hong Qian, Yunfei Jiang |