| 2026 | MMSys | ARBot: A High-Fidelity Robotic Manipulator Teleoperation Framework for Human-Centered Augmented Reality Evaluation. | Harsh Chhajed, Tian Guo |
| 2026 | MMSys | AR as an Evaluation Playground: Bridging Metric and Visual Perception of Computer Vision Models. | Ashkan Ganj, Yiqin Zhao, Tian Guo |
| 2025 | CCGRID | CarbonDIS: Carbon-Aware DNN Inference Scheduling on Heterogeneous GPUs. | Seyed Morteza Nabavinejad, Weiwei Jia, Shubbhi Taneja, Tian Guo |
| 2025 | MMSP | Carbon-Efficient Internet Video Streaming. | Zichen Zhu, Tian Guo, Sheng Wei |
| 2025 | WACV | HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image Priors. | Ashkan Ganj, Hang Su, Tian Guo |
| 2024 | EMNLP | Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow. | Tian Guo, Emmanuel Hauptmann |
| 2024 | ISMAR | Toward Robust Depth Fusion for Mobile AR With Depth from Focus and Single-Image Priors. | Ashkan Ganj, Hang Su, Tian Guo |
| 2024 | MOBICOM | Towards In-context Environment Sensing for Mobile Augmented Reality. | Yiqin Zhao, Ashkan Ganj, Tian Guo |
| 2023 | CCGRID | Measuring the Impact of Gradient Accumulation on Cloud-based Distributed Training. | Zimeng Huang, Bo Jiang, Tian Guo, Yunzhuo Liu |
| 2023 | CCGRID | Layercake: Efficient Inference Serving with Cloud and Mobile Resources. | Samuel S. Ogden, Tian Guo |
| 2023 | SIGCOMM | Resource-Efficient and Privacy-Preserving Edge for Augmented Reality. | Tian Guo |
| 2023 | SiggraphA | Portrait Expression Editing With Mobile Photo Sequence. | Yiqin Zhao, Rohit Pandey, Yinda Zhang, Ruofei Du, Feitong Tan, Chetan Ramaiah, Tian Guo, Sean Fanello |
| 2023 | SIGMETRICS | FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models. | Yunzhuo Liu, Bo Jiang, Tian Guo, Zimeng Huang, Wenhao Ma, Xinbing Wang, Chenghu Zhou |
| 2022 | ICIP | Graph Filter-Based Fast Motion Matching for Inter Frame Coding of MPEG G-PCC. | Tian Guo, Hui Yuan, Tingting Wang, Wei Gao |
| 2022 | ICLR | Multi-objective Optimization by Learning Space Partition. | Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian |
| 2022 | NOSSDAV | Power-efficient live virtual reality streaming using edge offloading. | Zichen Zhu, Xianglong Feng, Zhongze Tang, Nan Jiang, Tian Guo, Lisong Xu, Sheng Wei |
| 2022 | VR | FUSEDAR: Adaptive Environment Lighting Reconstruction for Visually Coherent Mobile AR Rendering. | Yiqin Zhao, Tian Guo |
| 2021 | CIKM | FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning. | Xin Dai, Xiangnan Kong, Tian Guo, Xinlu He |
| 2021 | CLOUD | Enabling Sustainable Clouds: The Case for Virtualizing the Energy System. | Noman Bashir, Tian Guo, Mohammad H. Hajiesmaili, David Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman, Abel Souza, Adam Wierman |
| 2021 | IC2E | On the Future of Cloud Engineering. | David Bermbach, Abhishek Chandra, Chandra Krintz, Aniruddha Gokhale, Aleksander Slominski, Lauritz Thamsen, Everton Cavalcante, Tian Guo, Ivona Brandic, Rich Wolski |
| 2021 | IC2E | Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage. | Nicholas Krichevsky, Renee St Louis, Tian Guo |
| 2021 | IC2E | Memory-Efficient Deep Learning Inference in Trusted Execution Environments. | Jean-Baptiste Truong, William Gallagher, Tian Guo, Robert J. Walls |
| 2021 | ICDCS | Sync-Switch: Hybrid Parameter Synchronization for Distributed Deep Learning. | Shijian Li, Oren Mangoubi, Lijie Xu, Tian Guo |
| 2021 | ICML | Few-Shot Neural Architecture Search. | Yiyang Zhao, Linnan Wang, Yuandong Tian, Rodrigo Fonseca, Tian Guo |
| 2021 | Mobisys | Xihe: a 3D vision-based lighting estimation framework for mobile augmented reality. | Yiqin Zhao, Tian Guo |
| 2021 | SDM | CiNet: Redesigning Deep Neural Networks for Efficient Mobile-Cloud Collaborative Inference. | Xin Dai, Xiangnan Kong, Tian Guo, Yixian Huang |
| 2020 | CIKM | EPNet: Learning to Exit with Flexible Multi-Branch Network. | Xin Dai, Xiangnan Kong, Tian Guo |
| 2020 | ECCV | PointAR: Efficient Lighting Estimation for Mobile Augmented Reality. | Yiqin Zhao, Tian Guo |
| 2020 | IC2E | PERSEUS: Characterizing Performance and Cost of Multi-Tenant Serving for CNN Models. | Matthew LeMay, Shijian Li, Tian Guo |
| 2020 | IC2E | MDINFERENCE: Balancing Inference Accuracy and Latency for Mobile Applications. | Samuel S. Ogden, Tian Guo |
| 2020 | ICDCS | Characterizing and Modeling Distributed Training with Transient Cloud GPU Servers. | Shijian Li, Robert J. Walls, Tian Guo |
| 2020 | ICDCS | DistStream: An Order-Aware Distributed Framework for Online-Offline Stream Clustering Algorithms. | Lijie Xu, Xingtong Ye, Kai Kang, Tian Guo, Wensheng Dou, Wei Wang, Jun Wei |
| 2020 | ICLR | Low-dimensional statistical manifold embedding of directed graphs. | Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin |
| 2020 | KDD | Recurrent Networks for Guided Multi-Attention Classification. | Xin Dai, Xiangnan Kong, Tian Guo, John Boaz Lee, Xinyue Liu, Constance M. Moore |
| 2020 | MMSys | QuRate: power-efficient mobile immersive video streaming. | Nan Jiang, Yao Liu, Tian Guo, Wenyao Xu, Viswanathan Swaminathan, Lisong Xu, Sheng Wei |
| 2019 | ICML | Exploring interpretable LSTM neural networks over multi-variable data. | Tian Guo, Tao Lin, Nino Antulov-Fantulin |
| 2019 | Middleware | Challenges and Opportunities of DNN Model Execution Caching. | Guin Gilman, Samuel S. Ogden, Robert J. Walls, Tian Guo |
| 2019 | WWW | Sensing Social Media Signals for Cryptocurrency News. | Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Ce Zhang, Dirk Helbing, Nino Antulov-Fantulin |
| 2018 | IC2E | Cloud-Based or On-Device: An Empirical Study of Mobile Deep Inference. | Tian Guo |
| 2018 | ICDM | Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders. | Tian Guo, Albert Bifet, Nino Antulov-Fantulin |
| 2018 | ICDM | Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings. | Vaibhav Krishna, Tian Guo, Nino Antulov-Fantulin |
| 2018 | ICLR | An interpretable LSTM neural network for autoregressive exogenous model. | Tian Guo, Tao Lin, Yao Lu |
| 2017 | IJCAI | Hybrid Neural Networks for Learning the Trend in Time Series. | Tao Lin, Tian Guo, Karl Aberer |
| 2016 | CIKM | Data Summarization with Social Contexts. | Hao Zhuang, Rameez Rahman, Xia Hu, Tian Guo, Pan Hui, Karl Aberer |
| 2016 | DSAA | Robust Online Time Series Prediction with Recurrent Neural Networks. | Tian Guo, Zhao Xu, Xin Yao, Haifeng Chen, Karl Aberer, Koichi Funaya |
| 2016 | EDBT | A Distributed Mining Framework for Influence in Evolving Entities. | Tian Guo, Karl Aberer |
| 2016 | EuroSys | Flint: batch-interactive data-intensive processing on transient servers. | Prateek Sharma, Tian Guo, Xin He, David Irwin, Prashant J. Shenoy |
| 2016 | IC2E | GeoScale: Providing Geo-Elasticity in Distributed Clouds. | Tian Guo, Prashant J. Shenoy, Hakan Hacigms |
| 2016 | ICDM | Distributed Mining and Modeling of Dynamic Lead-Lag Relations in Evolving Entities. | Tian Guo, Jean-Paul Calbimonte, Karl Aberer |
| 2015 | CIKM | Fast Distributed Correlation Discovery Over Streaming Time-Series Data. | Tian Guo, Saket Sathe, Karl Aberer |
| 2015 | CLOUD | SpotOn: a batch computing service for the spot market. | Supreeth Subramanya, Tian Guo, Prateek Sharma, David Irwin, Prashant J. Shenoy |
| 2015 | EuroSys | SpotCheck: designing a derivative IaaS cloud on the spot market. | Prateek Sharma, Stephen Lee, Tian Guo, David Irwin, Prashant J. Shenoy |
| 2014 | DASFAA | Online Indexing and Distributed Querying Model-View Sensor Data in the Cloud. | Tian Guo, Thanasis G. Papaioannou, Hao Zhuang, Karl Aberer |
| 2014 | MMSys | VMShadow: optimizing the performance of latency-sensitive virtual desktops in distributed clouds. | Tian Guo, Vijay Gopalakrishnan, K. K. Ramakrishnan, Prashant J. Shenoy, Arun Venkataramani, Seungjoon Lee |
| 2013 | CLOUD | VMShadow: optimizing the performance of virtual desktops in distributed clouds. | Tian Guo, Vijay Gopalakrishnan, K. K. Ramakrishnan, Prashant J. Shenoy, Arun Venkataramani, Seungjoon Lee |
| 2012 | USENIX | Seagull: Intelligent Cloud Bursting for Enterprise Applications. | Tian Guo, Upendra Sharma, Timothy Wood, Sambit Sahu, Prashant J. Shenoy |