Mingjia Li

11 papers A* 3A 2Journal 4Unranked 2
YearRankTypeTitle / Venue / Authors
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 — 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
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
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 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
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
2023 A conf
QCCDM: A Q-Augmented Causal Cognitive Diagnosis Model for Student Learning.
ECAI
Shuo Liu, Hong Qian, Mingjia Li, Aimin Zhou
2022 J jnl
Evolutionary reinforcement learning via cooperative coevolutionary negatively correlated search.
Swarm Evol. Comput.
Peng Yang, Hu Zhang, Yanglong Yu, Mingjia Li, Ke Tang
2022 — conf
High-Dimensional Discrete Bayesian Optimization with Intrinsic Dimension.
PRICAI (1)
Shu-Jun Li, Mingjia Li, Hong Qian
2020 J jnl
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search.
CoRR
Hu Zhang, Peng Yang, Yanglong Yu, Mingjia Li, Ke Tang