Liu, Jiamou

18 publications

AAAI 2025 Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu
AAAI 2025 Learning Verified Safe Neural Network Controllers for Multi-Agent Path Finding Mingyue Zhang, Nianyu Li, Yi Chen, Jialong Li, Xiaoyi Zhang, Hengjun Zhao, Jiamou Liu, Wu Chen
IJCAI 2025 Situational-Constrained Sequential Resources Allocation via Reinforcement Learning Libo Zhang, Yang Chen, Toru Takisaka, Kaiqi Zhao, Weidong Li, Jiamou Liu
NeurIPS 2025 Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm Yang Chen, Menglin Zou, Jiaqi Zhang, Yitan Zhang, Junyi Yang, Gael Gendron, Libo Zhang, Jiamou Liu, Michael J. Witbrock
ICLRW 2025 Understanding Financial Reasoning in AI: A Multimodal Benchmark and Error Learning Approach Shuangyan Deng, Haizhou Peng, Jiachen Xu, Chunhou Liu, Ciprian Doru Giurcaneanu, Jiamou Liu
AAAI 2024 Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy Lin Ni, Sijie Wang, Zeyu Zhang, Xiaoxuan Li, Xianda Zheng, Paul Denny, Jiamou Liu
ICLRW 2024 Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gael Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu
AAAI 2024 Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables Yang Chen, Xiao Lin, Bo Yan, Libo Zhang, Jiamou Liu, Neset Özkan Tan, Michael Witbrock
UAI 2023 Incentivising Diffusion While Preserving Differential Privacy Fengjuan. Jia, Mengxiao. Zhang, Jiamou. Liu, Bakh Khoussainov
AAAI 2023 MSDC: Exploiting Multi-State Power Consumption in Non-Intrusive Load Monitoring Based on a Dual-CNN Model Jialing He, Jiamou Liu, Zijian Zhang, Yang Chen, Yiwei Liu, Bakh Khoussainov, Liehuang Zhu
AAAI 2023 USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, Jiamou Liu
AAAI 2022 DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu
ICML 2021 From Local to Global Norm Emergence: Dissolving Self-Reinforcing Substructures with Incremental Social Instruments Yiwei Liu, Jiamou Liu, Kaibin Wan, Zhan Qin, Zijian Zhang, Bakhadyr Khoussainov, Liehuang Zhu
UAI 2020 Selling Data at an Auction Under Privacy Constraints Mengxiao Zhang, Fernando Beltran, Jiamou Liu
NeurIPS 2019 REM: From Structural Entropy to Community Structure Deception Yiwei Liu, Jiamou Liu, Zijian Zhang, Liehuang Zhu, Angsheng Li
IJCAI 2018 From the Periphery to the Core: Information Brokerage in an Evolving Network Bo Yan, Yiping Liu, Jiamou Liu, Yijin Cai, Hongyi Su, Hong Zheng
AAAI 2017 Network, Popularity and Social Cohesion: A Game-Theoretic Approach Jiamou Liu, Ziheng Wei
IJCAI 2016 How to Build Your Network? a Structural Analysis Anastasia Moskvina, Jiamou Liu