| 2026 | ICDAR | Towards Breaking the Visual Perception Bottleneck for Geometry Problem Solving. | Tianjiao Cao, Jiahao Lyu, Dongbao Yang, Weimin Mu, Yu Zhou |
| 2025 | IJCAI | The Devil is in Fine-tuning and Long-tailed Problems: A New Benchmark for Scene Text Detection. | Tianjiao Cao, Jiahao Lyu, Weichao Zeng, Weimin Mu, Yu Zhou |
| 2023 | ICCS | Online Runtime Environment Prediction for Complex Colocation Interference in Distributed Streaming Processing. | Fan Liu, Weilin Zhu, Weimin Mu, Yun Zhang, Mingyang Li, Can Ma, Weiping Wang |
| 2022 | ICCS | Elastic Resource Allocation Based on Dynamic Perception of Operator Influence Domain in Distributed Stream Processing. | Fan Liu, Weilin Zhu, Weimin Mu, Yun Zhang, Mingyang Li, Ziyuan Zhu, Weiping Wang |
| 2020 | ICCS | QEScalor: Quantitative Elastic Scaling Framework in Distributed Streaming Processing. | Weimin Mu, Zongze Jin, Weilin Zhu, Fan Liu, Zhenzhen Li, Ziyuan Zhu, Weiping Wang |
| 2020 | NPC | DROAllocator: A Dynamic Resource-Aware Operator Allocation Framework in Distributed Streaming Processing. | Fan Liu, Zongze Jin, Weimin Mu, Weilin Zhu, Yun Zhang, Weiping Wang |
| 2019 | ISPA | OMOPredictor: An Online Multi-Step Operator Performance Prediction Framework in Distributed Streaming Processing. | Weimin Mu, Zongze Jin, Fan Liu, Weilin Zhu, Weiping Wang |
| 2019 | NPC | BGElasor: Elastic-Scaling Framework for Distributed Streaming Processing with Deep Neural Network. | Weimin Mu, Zongze Jin, Junwei Wang, Weilin Zhu, Weiping Wang |
| 2018 | ER | Leveraging the Dynamic Changes from Items to Improve Recommendation. | Zongze Jin, Yun Zhang, Weimin Mu, Weiping Wang, Hai Jin |
| 2018 | ICONIP | Leveraging Similar Reviews to Discover What Users Want. | Zongze Jin, Yun Zhang, Weimin Mu, Weiping Wang |
| 2018 | PRICAI | Collaborating Aesthetic Change and Heterogeneous Information into Recommender Systems. | Zongze Jin, Yun Zhang, Weimin Mu, Weiping Wang, Hai Jin |