| 2026 | EACL | SEMIROUTER: Sparse-Data Enhanced Routing for Adaptive Multi-LLM System. | Zijie Wang, Xinyu Yan, Che Wang, Zihao Zeng, Lei Xiao, Wei Yang Bryan Lim |
| 2025 | EMNLP | SIFT: Grounding LLM Reasoning in Contexts via Stickers. | Zihao Zeng, Xuyao Huang, Boxiu Li, Zhijie Deng |
| 2025 | ICLR | MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection. | Bokai Lin, Zihao Zeng, Zipeng Xiao, Siqi Kou, TianQi Hou, Xiaofeng Gao, Hao Zhang, Zhijie Deng |
| 2024 | EMNLP | AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models. | Zihao Zeng, Yibo Miao, Hongcheng Gao, Hao Zhang, Zhijie Deng |
| 2021 | DAC | Training Acceleration for Deep Neural Networks: A Hybrid Parallelization Strategy. | Zihao Zeng, Chubo Liu, Zhuo Tang, Wanli Chang, Kenli Li |
| 2021 | ICAART | Balancing Performance and Effort in Deep Learning via the Fusion of Real and Synthetic Cultural Heritage Photogrammetry Training Sets. | Eugene Ch'ng, Pinyuan Feng, Hongtao Yao, Zihao Zeng, Danzhao Cheng, Shengdan Cai |
| 2020 | DAC | CoExe: An Efficient Co-execution Architecture for Real-Time Neural Network Services. | Chubo Liu, Kenli Li, Mingcong Song, Jiechen Zhao, Keqin Li, Tao Li, Zihao Zeng |
| 2019 | HPCC | K-Means Parallel Acceleration for Sparse Data Dimensions on Flink. | Zihao Zeng, Kenli Li, Mingxing Duan, Chubo Liu, Xiangke Liao |