Qian, Hong

19 publications

IJCAI 2025 A Fast-Adaptive Cognitive Diagnosis Framework for Computerized Adaptive Testing Systems Yuanhao Liu, Yiya You, Shuo Liu, Hong Qian, Ying Qian, 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, Hong Qian

AAAI 2025 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

ICLR 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, An Zhang, Guoqing Hu, Hong Qian, Tat-Seng Chua

IJCAI 2025 Relation-Augmented Dueling Bayesian Optimization via Preference Propagation Xiang Xia, Xiang Shu, Shuo Liu, Yiyi Zhu, Yijie Zhou, Weiye Wang, Bingdong Li, Hong Qian

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, Yang Yu

ICML 2025 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

NeurIPS 2024 A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences Mingjia Li, Shuo Liu, Hong Qian, Aimin Zhou

AAAI 2024 Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems Junhao Shen, Hong Qian, Wei Zhang, Aimin Zhou

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

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

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

AAAI 2018 Noisy Derivative-Free Optimization with Value Suppression Hong Wang, Hong Qian, Yang Yu

AAAI 2017 Sequential Classification-Based Optimization for Direct Policy Search Yi-Qi Hu, Hong Qian, Yang Yu

AAAI 2017 Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions Hong Qian, Yang Yu

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

AAAI 2016 Derivative-Free Optimization via Classification Yang Yu, Hong Qian, Yi-Qi Hu

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