| 2026 | AAAI | AdaField: Generalizable Surface Pressure Modeling with Physics-Informed Pre-training and Flow-Conditioned Adaptation. | Junhong Zou, Wei Qiu, Zhenxu Sun, Xiaomei Zhang, Zhaoxiang Zhang, Xiangyu Zhu |
| 2025 | AIED | From Insights to Impact: An Agentic Learning Intelligence Framework for Student-Centred Success. | Joel Weijia Lai, Wei Qiu, Fun Siong Lim |
| 2025 | EDM | Improving Course Recommendation Systems with Explainable AI: LLM-Based Frameworks and Evaluations. | Jiawei Li, Qianru Lyu, Wei Qiu, Andy W. H. Khong |
| 2024 | ISCAS | Enhanced Student-graph Representation for At-risk Student Detection. | Wei Qiu, Andy W. H. Khong, Fun Siong Lim |
| 2023 | CIKM | Quad-Tier Entity Fusion Contrastive Representation Learning for Knowledge Aware Recommendation System. | Rongqing Kenneth Ong, Wei Qiu, Andy W. H. Khong |
| 2023 | ICLR | RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning. | Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu |
| 2023 | ICML | Learning to Maximize Mutual Information for Dynamic Feature Selection. | Ian Connick Covert, Wei Qiu, Mingyu Lu, Nayoon Kim, Nathan J. White, Su-In Lee |
| 2023 | ICONIP | Segment Anything Model for Semi-supervised Medical Image Segmentation via Selecting Reliable Pseudo-labels. | Ning Li, Lianjin Xiong, Wei Qiu, Yudong Pan, Yiqian Luo, Yangsong Zhang |
| 2023 | ICONIP | Aided Diagnosis of Autism Spectrum Disorder Based on a Mixed Neural Network Model. | Yiqian Luo, Ning Li, Yudong Pan, Wei Qiu, Lianjin Xiong, Yangsong Zhang |
| 2023 | IJCAI | Complex Contagion Influence Maximization: A Reinforcement Learning Approach. | Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe |
| 2022 | EDM | Grade Prediction via Prior Grades and Text Mining on Course Descriptions: Course Outlines and Intended Learning Outcomes. | Jiawei Li, S. Supraja, Wei Qiu, Andy W. H. Khong |
| 2022 | EDM | Toward Better Grade Prediction via A2GP - An Academic Achievement Inspired Predictive Model. | Wei Qiu, S. Supraja, Andy W. H. Khong |
| 2022 | ICONIP | Low Dose CT Image Denoising Using Efficient Transformer with SimpleGate Mechanism. | Lianjin Xiong, Wei Qiu, Ning Li, Yishi Li, Yangsong Zhang |
| 2021 | AAAI | Automated Lay Language Summarization of Biomedical Scientific Reviews. | Yue Guo, Wei Qiu, Yizhong Wang, Trevor Cohen |
| 2021 | UAI | Contingency-aware influence maximization: A reinforcement learning approach. | Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe |
| 2020 | AAAI | Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition. | Chuanqi Tan, Wei Qiu, Mosha Chen, Rui Wang, Fei Huang |
| 2020 | ICML | Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. | Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich |
| 2019 | IJCAI | Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks. | Wei Qiu, Haipeng Chen, Bo An |
| 2018 | DASC | Hidden Markov Model for Masquerade Detection Based on Sequence Alignment. | Wei Qiu, Andy Wai Hoong Khong, Wee Peng Tay |
| 2017 | FUSION | Using ship radiated noise spectrum feature for data association in underwater target tracking. | Wei Qiu, Wenke Wang, Zhiyun Zhuang, Pengzheng Lei, Le Li |
| 2013 | ICCV | Translating Video Content to Natural Language Descriptions. | Marcus Rohrbach, Wei Qiu, Ivan Titov, Stefan Thater, Manfred Pinkal, Bernt Schiele |
| 2011 | ICONIP | Medial Axis for 3D Shape Representation. | Wei Qiu, K Sakai |