| 2026 | ACL | DMHM: Density-aware Manifold Learning and Hybrid Mahalanobis Energy for LLMs-generated Text Detection. | Tianle Liu, Zhiliang Tian, Zhen Huang, Tianlun Liu, Jingyuan Huang, Zhaoning Zhang, Chengcheng Shao, Dongsheng Li |
| 2026 | ACL | Alloc-MoE: Budget-Aware Expert Activation Allocation for Efficient Mixture-of-Experts Inference. | Baihui Liu, Kaiyuan Tian, Wei Wang, Zhaoning Zhang, Linbo Qiao, Dongsheng Li |
| 2026 | ACL | Sparrow: Text-Anchored Window Attention with Visual-Semantic Glimpsing for Speculative Decoding in Video LLMs. | Libo Zhang, Zhaoning Zhang, Wangyang Hong, Dongsheng Li |
| 2026 | ICS | LayerScope: Predictive Cross-Layer Scheduling for Efficient Multi-Batch MoE Inference on Legacy Servers. | Enda Yu, Dezun Dong, Zhaoning Zhang, Zhe Bai, Weiling Yang, Haojie Wang, Dongsheng Li, Yongwei Wu, Xiangke Liao |
| 2026 | KSEM | LARK: Layer-Aware Routing with K-Ary Dynamic Pruning Tree for Self-speculative Decoding. | Baizhou Xu, Zhaoning Zhang, Zhen Huang, Libo Zhang |
| 2025 | EMNLP | Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes. | Qiunan Du, Zhiliang Tian, Zhen Huang, Kailun Bian, Tianlun Liu, Zhaoning Zhang, Xinwang Liu, Feng Liu, Dong Sheng Li |
| 2025 | EMNLP | Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference. | Libo Zhang, Zhaoning Zhang, Xubaizhou, Rui Li, Zhiliang Tian, Songzhu Mei, Dongsheng Li |
| 2025 | IJCNN | ALM-KD: Adaptive Layer Mapping Knowledge Distillation for LLMs. | Xu Baizhou, Zhilin Yang, Niu Xin, Zhaoning Zhang, Huang Zheng, Linbo Qiao, Yafei Qi |
| 2024 | HCI | Study on Collision Risk Assessment of Free Flight Based on CNS Performances. | Jimin Liu, Ting-Ting Lu, Zhaoning Zhang, Jinlong Wang |
| 2023 | HCI | Study on Temperament Characteristics of Air Traffic Controllers Based on BP Neural Network. | Tingting Lu, Xinyue Liu, Ning Li, Wen-Chin Li, Zhaoning Zhang |
| 2023 | HCI | Study of Psychological Stress Among Air Traffic Controllers. | Zhaoning Zhang, Zhuochen Shi, Ning Li, Yiyang Zhang, Xiangrong Xu |
| 2019 | ICA3PP | Rise the Momentum: A Method for Reducing the Training Error on Multiple GPUs. | Yu Tang, Lujia Yin, Zhaoning Zhang, Dongsheng Li |
| 2019 | ICCV | Correlation Congruence for Knowledge Distillation. | Baoyun Peng, Xiao Jin, Dongsheng Li, Shunfeng Zhou, Yichao Wu, Jiaheng Liu, Zhaoning Zhang, Yu Liu |
| 2019 | ICCV | ThunderNet: Towards Real-Time Generic Object Detection on Mobile Devices. | Zheng Qin, Zeming Li, Zhaoning Zhang, Yiping Bao, Gang Yu, Yuxing Peng, Jian Sun |
| 2019 | ICDCS | HPDL: Towards a General Framework for High-performance Distributed Deep Learning. | Dongsheng Li, Zhiquan Lai, Keshi Ge, Yiming Zhang, Zhaoning Zhang, Qinglin Wang, Huaimin Wang |
| 2018 | ICCS | Workload Characterization and Evolutionary Analyses of Tianhe-1A Supercomputer. | Jinghua Feng, Guangming Liu, Jian Zhang, Zhiwei Zhang, Jie Yu, Zhaoning Zhang |
| 2018 | ICIP | Fd-Mobilenet: Improved Mobilenet with a Fast Downsampling Strategy. | Zheng Qin, Zhaoning Zhang, Xiaotao Chen, Changjian Wang, Yuxing Peng |
| 2018 | ICPADS | A Quick Survey on Large Scale Distributed Deep Learning Systems. | Zhaoning Zhang, Lujia Yin, Yuxing Peng, Dongsheng Li |
| 2018 | IJCNN | Nominal Data Similarity: A Hierarchical Measure. | Hao Yu, Zhaoning Zhang, Zijie Zhu, Wang Xiong, Gen Zhang |
| 2018 | IJCNN | Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions. | Zheng Qin, Zhaoning Zhang, Dongsheng Li, Yiming Zhang, Yuxing Peng |
| 2018 | IJCNN | Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications. | Zheng Qin, Zhaoning Zhang, Shiqing Zhang, Hao Yu, Jincai Li, Yuxing Peng |
| 2018 | IJCNN | Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors. | Hao Yu, Zhaoning Zhang, Zheng Qin, Hao Wu, Dongsheng Li, Jun Zhao, Xicheng Lu |
| 2017 | ICDCS | GraphA: Adaptive Partitioning for Natural Graphs. | Dongsheng Li, Chengfei Zhang, Jinyan Wang, Zhaoning Zhang, Yiming Zhang |
| 2016 | NPC | DSS: A Scalable and Efficient Stratified Sampling Algorithm for Large-Scale Datasets. | Min-ne Li, Dongsheng Li, Siqi Shen, Zhaoning Zhang, Xicheng Lu |
| 2012 | ISORC | A Reality Check of Multiple Snowball Tree File Dissemination in Large Scale Cloud Cluster. | Zhaoning Zhang, Xicheng Lu, Yuxing Peng, Huiba Li |