| 2026 | AAAI | DC-SPAN: A Dual Contrastive Attention Network for Multi-View Clustering. | Jingyi Chen, Zhibin Dong, Tiejun Li, Yibo Han |
| 2025 | DAC | A Cross-model Fusion-aware Framework for Optimizing (gather-matmul-scatter)s Workload. | Yaoxiu Lian, Zhihong Gou, Yibo Han, Zhongming Yu, Jiaming Xu, Sheng Yuan, Zhilin Pei, Xingcheng Zhang, Ningyi Xu, Guohao Dai |
| 2025 | ECAI | LoRA Decompose: Serving Fine-Tuned Models into LoRA-Like. | Yibo Han, Tangzhi Xu, Zenan Li, Yijia Zhang, Youshan Miao, Yuan Yao, Ningyi Xu |
| 2025 | ICASSP | A-PeARCNN: a Physics-encoded AutoRegressive Convolutional Neural Network with AttentionNet for Solving Partial Differential Equations. | Yibo Han, Ruixuan Ren, Tiejun Li, Jingyi Chen, Jianmin Zhang |
| 2024 | CSCWD | Robust modeling of the multi-depot vehicle routing problem under uncertain demands. | Jinqing Li, Qi Qi, Ni Li, Yibo Han |
| 2023 | ECAI | Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training. | Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu |
| 2023 | ICPADS | Robust optimization for minimizing total tardiness on unrelated parallel machine scheduling. | Yibo Han, Qi Qi, Ni Li, Jinqing Li |
| 2021 | DAC | PIMGCN: A ReRAM-Based PIM Design for Graph Convolutional Network Acceleration. | Tao Yang, Dongyue Li, Yibo Han, Yilong Zhao, Fangxin Liu, Xiaoyao Liang, Zhezhi He, Li Jiang |
| 2019 | IGARSS | Unsupervised PolSAR Image Factorization with Deep Convolutional Networks. | Haixia Bi, Feng Xu, Zhiqiang Wei, Yibo Han, Yuanlong Cui, Yong Xue, Zongben Xu |
| 2019 | IGARSS | An Active Deep Learning Approach for Minimally-Supervised Polsar Image Classification. | Haixia Bi, Feng Xu, Zhiqiang Wei, Yibo Han, Yuanlong Cui, Yong Xue, Zongben Xu |
| 2019 | UIC | An Experimental Online Judge System Based on Docker Container for Learning and Teaching Assistance. | Yibo Han, Zheng Zhang, Bo Yuan, Haixia Bi, Mohammad Nasir Shahzad, Lu Liu |