| 2026 | ACL | Escaping the Sisyphus Dilemma: Experience Replay for Robust Text-to-Optimization Modeling. | Wantong Xie, Yinghao Chen, Yixiang Hu, Feng Wu, Jieyang Xu, Sijia Zhang, Xiangyang Li |
| 2026 | INFOCOM | LeJOT-AutoML: LLM-Driven Feature Engineering for Job Execution Time Prediction in Databricks Cost Optimization. | Lizhi Ma, Yixiang Hu, Yihui Ren, Feng Wu, Xiang-Yang Li |
| 2025 | AAAI | FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program. | Yixiang Hu, Feng Wu, Shaoang Li, Yifang Zhao, Xiang-Yang Li |
| 2025 | DAC | Hardware Generation with High Flexibility using Reinforcement Learning Enhanced LLMs. | Yifang Zhao, Weimin Fu, Shijie Li, Yixiang Hu, Xiaolong Guo, Yier Jin |
| 2025 | ICCCN | TOPO-X: Co-optimize Flow Scheduling, Topology, and ML Training Parallelism. | Yixiang Hu, Han Tian, Yifang Zhao, Feng Wu, Xiang-Yang Li |
| 2025 | ICPADS | GCP-LP: A GPU-CPU Collaborative Framework for Accelerating Large-Scale Sparse Linear Programming. | Zi-Rui Huang, Yixiang Hu, Feng Wu, Xiang-Yang Li |
| 2025 | IJCAI | Guiding Large Language Models in Modeling Optimization Problems via Question Partitioning. | Xiaotian Pan, Junhao Fang, Feng Wu, Sijia Zhang, Yixiang Hu, Shaoang Li, Xiangyang Li |
| 2025 | ISCAS | Enhancing LLM Performance on Hardware Design Generation Task via Reinforcement Learning. | Yifang Zhao, Weimin Fu, Shijie Li, Yixiang Hu, Xiaolong Guo, Yier Jin |