| 2026 | AAAI | SlimInfer: Accelerating Long-Context LLM Inference via Dynamic Token Pruning. | Lingkun Long, Rubing Yang, Yushi Huang, Desheng Hui, Ao Zhou, Jianlei Yang |
| 2026 | ACL | Focusing Condition: Inference-Time Self-Contrastive Steering Elicits Better Conditional Text Embeddings in LLMs. | Zifeng Cheng, Lingyun Qian, Zhiwei Jiang, Cong Wang, Yafeng Yin, Fei Shen, Ao Zhou, Qing Gu |
| 2026 | ACL | Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context Focusing. | Lingkun Long, Yushi Huang, Shihao Bai, Ruihao Gong, Jun Zhang, Ao Zhou, Jianlei Yang |
| 2026 | ACL | AEA: Adaptive Expert Allocation Improves Sentence Embeddings from Mixture-of-Experts LLM. | Shufan Yang, Zifeng Cheng, Zhiwei Jiang, Qingfeng Qi, Yafeng Yin, Cong Wang, Ao Zhou, Qing Gu |
| 2026 | ICDE | FedCurrMM: A Federated Map Matching Framework with Curriculum-Aware Client Selection. | Minxiao Chen, Haitao Yuan, Haoning Wang, Nan Jiang, Zhihan Zheng, Ao Zhou, Shangguang Wang |
| 2025 | AAAI | Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations. | Ao Zhou, Bin Liu, Jin Wang, Grigorios Tsoumakas |
| 2025 | ASPLOS | OS2G: A High-Performance DPU Offloading Architecture for GPU-based Deep Learning with Object Storage. | Zhen Jin, Yiquan Chen, Mingxu Liang, Yijing Wang, Guoju Fang, Ao Zhou, Keyao Zhang, Jiexiong Xu, Wenhai Lin, Yiquan Lin, Shushu Zhao, Wenkai Shi, Zhenhua He, Shishun Cai, Wenzhi Chen |
| 2025 | ICCD | Towards Affordable, Adaptive and Automatic GNN Training on CPU-GPU Heterogeneous Platforms. | Tong Qiao, Ao Zhou, Yingjie Qi, Yiou Wang, Han Wan, Jianlei Yang, Chunming Hu |
| 2025 | ICWS | Reliability-Aware Resource Allocation for Vehicular Services in Mobile Edge Computing. | Lipei Yang, Sisi Li, Ao Zhou, Xiao Ma, Yiran Zhang, Shangguang Wang |
| 2024 | CVPR | POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning. | Jiayi Guan, Li Shen, Ao Zhou, Lusong Li, Han Hu, Xiaodong He, Guang Chen, Changjun Jiang |
| 2024 | DAC | GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration. | Tong Qiao, Jianlei Yang, Yingjie Qi, Ao Zhou, Chen Bai, Bei Yu, Weisheng Zhao, Chunming Hu |
| 2024 | DAC | Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems. | Ao Zhou, Jianlei Yang, Tong Qiao, Yingjie Qi, Zhi Yang, Weisheng Zhao, Chunming Hu |
| 2024 | ICWS | Profit-Aware Task Allocation in Satellite Computing. | Jie Huang, Ruolin Xing, Xiao Ma, Ao Zhou, Shangguang Wang |
| 2024 | ICWS | Flexible Shadow: Enhancing Service Reliability in Resource-Constrained Edge Computing. | Lipei Yang, Ao Zhou, Xiao Ma, Yiran Zhang, Yuanzhe Li, Shangguang Wang |
| 2024 | MOBICOM | Deciphering the Enigma of Satellite Computing with COTS Devices: Measurement and Analysis. | Ruolin Xing, Mengwei Xu, Ao Zhou, Qing Li, Yiran Zhang, Feng Qian, Shangguang Wang |
| 2024 | Mobisys | Poster: Service Orchestration for Satellite Computing. | Jianing Tang, Ruolin Xing, Qibo Sun, Ao Zhou, Xiao Ma |
| 2024 | NOMS | An Enhancement Framework for RDMA Congestion Control in Multi-tenant Datacenters. | Tianshi Wang, Yiran Zhang, Ao Zhou, Shangguang Wang |
| 2024 | SIGCOMM | POSTER: An End-to-End Study on Performance and Reliability of LEO Satellite-Terrestrial Data Links. | Zuo Zhu, Ruolin Xing, Yiran Zhang, Chaoxin Yu, Ao Zhou, Shangguang Wang |
| 2024 | USENIX | More is Different: Prototyping and Analyzing a New Form of Edge Server with Massive Mobile SoCs. | Li Zhang, Zhe Fu, Boqing Shi, Xiang Li, Rujin Lai, Chenyang Yang, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu |
| 2024 | RTSS | Exploring Real-Time Satellite Computing: From Energy and Thermal Perspectives. | Qing Li, Shangguang Wang, Chenren Xu, Xiao Ma, Mengwei Xu, Ao Zhou, Ruolin Xing, Boyuan Yang, Zuo Zhu, Ying Zhang, Xuanzhe Liu |
| 2023 | DAC | Hardware-Aware Graph Neural Network Automated Design for Edge Computing Platforms. | Ao Zhou, Jianlei Yang, Yingjie Qi, Yumeng Shi, Tong Qiao, Weisheng Zhao, Chunming Hu |
| 2023 | ICNP | Cooperative Content Caching and Distribution for Satellite CDNs. | Yuwen Chen, Xiao Ma, Ao Zhou, Shangguang Wang |
| 2023 | ICNP | Energy and Time-Aware Inference Offloading for DNN-based Applications in LEO Satellites. | Yijie Chen, Qiyang Zhang, Yiran Zhang, Xiao Ma, Ao Zhou |
| 2023 | ICNP | Freshness-aware Content Update for Earth Observation: Trading Off AoI and Accuracy. | Yuran Guo, Xiao Ma, Qibo Sun, Ao Zhou |
| 2023 | ICPADS | Optimizing Space-Borne Computation: A Reliability Enhancement Framework for LEO Constellation. | Lipei Yang, Ao Zhou, Xiao Ma, Yiran Zhang, Shangguang Wang |
| 2023 | INFOCOM | Privacy as a Resource in Differentially Private Federated Learning. | Jinliang Yuan, Shangguang Wang, Shihe Wang, Yuanchun Li, Xiao Ma, Ao Zhou, Mengwei Xu |
| 2023 | ICWS | Container Image Similarity-Aware Resource Provisioning for Serverless Edge Computing. | Ao Zhou, Sisi Li, Xiao Ma, Yiran Zhang, Shangguang Wang |
| 2023 | Mobisys | Boosting DNN Cold Inference on Edge Devices. | Rongjie Yi, Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu |
| 2022 | WWW | Commutativity-guaranteed Docker Image Reconstruction towards Effective Layer Sharing. | Sisi Li, Ao Zhou, Xiao Ma, Mengwei Xu, Shangguang Wang |
| 2022 | WWW | A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices. | Qiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou, Mengwei Xu, Shangguang Wang, Yun Ma, Xuanzhe Liu |
| 2021 | ISCAS | A Cross-Coupled Pair Regeneration Based dB-Linear Programable Gain Amplifier with THD Enhancement. | Yangtao Dong, Chirn Chye Boon, Kaituo Yang, Ao Zhou, Xin Ding |
| 2021 | RTAS | Brief Industry Paper: optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms. | Ao Zhou, Jianlei Yang, Yeqi Gao, Tong Qiao, Yingjie Qi, Xiaoyi Wang, Yunli Chen, Pengcheng Dai, Weisheng Zhao, Chunming Hu |
| 2021 | SERVICES | Towards Green Service Composition Approach in the Cloud. | Shangguang Wang, Ao Zhou, Ruo Bao, Chou Wu |
| 2020 | INFOCOM | Cooperative Service Caching and Workload Scheduling in Mobile Edge Computing. | Xiao Ma, Ao Zhou, Shan Zhang, Shangguang Wang |
| 2020 | ICWS | Cognitive Service in Mobile Edge Computing. | Chuntao Ding, Ao Zhou, Xiao Ma, Shangguang Wang |
| 2018 | ICWS | FMSR: A Fairness-Aware Mobile Service Recommendation Method. | Qiliang Zhu, Ao Zhou, Qibo Sun, Shangguang Wang, Fangchun Yang |
| 2017 | ICPADS | CMIP: Data Transmission Latency Optimization for Cooperative Group in Multi-cloud by Adaptive Routing. | Jie Wei, Shangguang Wang, Ao Zhou, Fangchun Yang |
| 2016 | CLUSTER | Machine Status Prediction for Dynamic and Heterogenous Cloud Environment. | Jinliang Xu, Ao Zhou, Shangguang Wang, Qibo Sun, Jinglin Li, Fangchun Yang |
| 2016 | DASC | A Context-Aware Trust Prediction Method Based on Behavioral Data Analysis in Distributed Network Environments. | Guoyu Yang, Qibo Sun, Ao Zhou, Jinglin Li, Xiang Yuan, Hanyi Tang |
| 2016 | ICCSA | A Novel Trust Update Mechanism Based on Sliding Window for Trust Management System. | Juanjuan Zhang, Qibo Sun, Ao Zhou, Jinglin Li |
| 2015 | CLUSTER | Minimizing Data Transmission Latency by Bipartite Graph in MapReduce. | Jie Wei, Shangguang Wang, Lingyan Zhang, Ao Zhou, Qibo Sun, Ruisheng Shi, Fangchun Yang |
| 2015 | IWQoS | PFT-CCKP: A proactive fault tolerance mechanism for data center network. | Jialei Liu, Shangguang Wang, Ao Zhou, Fangchun Yang |
| 2015 | IWQoS | An online cloud data center simulation system. | Jinglin Li, Chenchen Yang, Ao Zhou, Shangguang Wang |
| 2013 | ICPADS | Dynamic Virtual Resource Renting Method for Maximizing the Profits of a Cloud Service Provider in a Dynamic Pricing Model. | Ao Zhou, Shangguang Wang, Qibo Sun, Hua Zou, Fangchun Yang |
| 2013 | Middleware | FTCloudSim: a simulation tool for cloud service reliability enhancement mechanisms. | Ao Zhou, Shangguang Wang, Qibo Sun, Hua Zou, Fangchun Yang |