| 2026 | CIDR | Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First. | Shu Liu, Soujanya Ponnapalli, Shreya Shankar, Sepanta Zeighami, Alan Zhu, Shubham Agarwal, Ruiqi Chen, Samion Suwito, Shuo Yuan, Ion Stoica, Matei Zaharia, Alvin Cheung, Natacha Crooks, Joseph Gonzalez, Aditya G. Parameswaran |
| 2025 | ASPLOS | MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs. | Shiyi Cao, Shu Liu, Tyler Griggs, Peter Schafhalter, Xiaoxuan Liu, Ying Sheng, Joseph E. Gonzalez, Matei Zaharia, Ion Stoica |
| 2025 | CIDR | Text2SQL is Not Enough: Unifying AI and Databases with TAG. | Asim Biswal, Siddharth Jha, Carlos Guestrin, Matei Zaharia, Joseph E. Gonzalez, Amog Kamsetty, Shu Liu, Liana Patel |
| 2025 | COLING | FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models. | Shu Liu, Shangqing Zhao, Chenghao Jia, Xinlin Zhuang, Zhaoguang Long, Jie Zhou, Aimin Zhou, Man Lan, Yang Chong |
| 2025 | CSCWD | An Adaptive Attention-Aware Method for Occluded Multi-Pedestrian Tracking. | Xinpeng Liu, Zihang Liang, Bozhou Li, Shu Liu |
| 2025 | EMNLP | Language Models Can Easily Learn to Reason from Demonstrations. | Dacheng Li, Shiyi Cao, Tyler Griggs, Shu Liu, Xiangxi Mo, Eric Tang, Sumanth Hegde, Kourosh Hakhamaneshi, Shishir G. Patil, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica |
| 2025 | GLOBECOM | Code Constructions for DNA-Based Data Storage. | Shu Liu, Kenan Wu, Yaqian Zhang |
| 2025 | HOTNETS | Lost in Translation: The Search for Meaning in Network-Attached AI Accelerator Disaggregation. | Jaewan Hong, Yifan Qiao, Soujanya Ponnapalli, Shu Liu, Marcos K. Aguilera, Vincent Liu, Christopher J. Rossbach, Ion Stoica |
| 2025 | ICCV | LYRA: An Efficient and Speech-Centric Framework for Omni-Cognition. | Zhisheng Zhong, Chengyao Wang, Yuqi Liu, Senqiao Yang, Longxiang Tang, Yuechen Zhang, Jingyao Li, Tianyuan Qu, Yanwei Li, Yukang Chen, Shaozuo Yu, Sitong Wu, Eric Lo, Shu Liu, Jiaya Jia |
| 2025 | ICLR | MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation. | Zhongshen Zeng, Pengguang Chen, Shu Liu, Haiyun Jiang, Jiaya Jia |
| 2025 | Networking | Bandwidth-Aware Adaptive Gradient Quantization for Cross-Organization Federated Learning. | Shu Liu, Hong Shen, Chan-Tong Lam, K. L. Eddie Law |
| 2025 | WCNC | Joint Source and Channel Coding for Multi-Modal Satellite-to-Ground Semantic Communications. | Yanbo Yin, Shu Liu, Dingzhu Wen, Youlong Wu, Yuanming Shi |
| 2025 | SOSP | Jenga: Effective Memory Management for Serving LLM with Heterogeneity. | Chen Zhang, Kuntai Du, Shu Liu, Woosuk Kwon, Xiangxi Mo, Yufeng Wang, Xiaoxuan Liu, Kaichao You, Zhuohan Li, Mingsheng Long, Jidong Zhai, Joseph Gonzalez, Ion Stoica |
| 2024 | CVPR | LISA: Reasoning Segmentation via Large Language Model. | Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, Jiaya Jia |
| 2024 | CVPR | Prompt Highlighter: Interactive Control for Multi-Modal LLMs. | Yuechen Zhang, Shengju Qian, Bohao Peng, Shu Liu, Jiaya Jia |
| 2024 | ECCV | MTMamba: Enhancing Multi-task Dense Scene Understanding by Mamba-Based Decoders. | Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen |
| 2024 | ECCV | Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics. | Shuai Yang, Zhifei Chen, Pengguang Chen, Xi Fang, Yixun Liang, Shu Liu, Yingcong Chen |
| 2024 | ICLR | Scalable Language Model with Generalized Continual Learning. | Bohao Peng, Zhuotao Tian, Shu Liu, Ming-Chang Yang, Jiaya Jia |
| 2024 | ICLR | Denoising Diffusion Step-aware Models. | Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Ying-Cong Chen |
| 2024 | IJCNN | A Lightweight and Effective Multi-View Knowledge Distillation Framework for Text-Image Retrieval. | Yuxiang Song, Yuxuan Zheng, Shangqing Zhao, Shu Liu, Xinlin Zhuang, Zhaoguang Long, Changzhi Sun, Aimin Zhou, Man Lan |
| 2024 | ISIT | Repairing Reed-Solomon Codes with Less Bandwidth. | Shu Liu, Yunqi Wan, Chaoping Xing |
| 2024 | ISIT | Nonlinear Codes with Low Redundancy. | Shu Liu, Chaoping Xing |
| 2024 | ISIT | Asymptotic Construction of Locally Repairable Codes with Multiple Recovering Sets. | Songsong Li, Shu Liu, Liming Ma, Yunqi Wan, Chaoping Xing |
| 2024 | NSDI | Cloudcast: High-Throughput, Cost-Aware Overlay Multicast in the Cloud. | Sarah Wooders, Shu Liu, Paras Jain, Xiangxi Mo, Joseph E. Gonzalez, Vincent Liu, Ion Stoica |
| 2023 | AAAI | Learning Context-Aware Classifier for Semantic Segmentation. | Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia |
| 2023 | CIKM | TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction. | Shu Liu, Jiaheng Wang, Jiamin Chen, Jianliang Gao, Yuhui Zhong |
| 2023 | CVPR | Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields. | Tao Hu, Xiaogang Xu, Shu Liu, Jiaya Jia |
| 2023 | CVPR | Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need. | Jingyao Li, Pengguang Chen, Zexin He, Shaozuo Yu, Shu Liu, Jiaya Jia |
| 2023 | CVPR | Hierarchical Dense Correlation Distillation for Few-Shot Segmentation. | Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chengyao Wang, Shu Liu, Jingyong Su, Jiaya Jia |
| 2023 | ICALP | List Decoding of Rank-Metric Codes with Row-To-Column Ratio Bigger Than 1/2. | Shu Liu, Chaoping Xing, Chen Yuan |
| 2023 | ICASSP | A Dual-Branch Adaptive Distribution Fusion Framework for Real-World Facial Expression Recognition. | Shu Liu, Yan Xu, Tongming Wan, Xiaoyan Kui |
| 2023 | ICCV | Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection. | Wenhang Ge, Tao Hu, Haoyu Zhao, Shu Liu, Ying-Cong Chen |
| 2023 | ICCV | Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation. | Luozhou Wang, Shuai Yang, Shu Liu, Ying-Cong Chen |
| 2023 | IJCNN | Unsupervised Product Title Optimization Based on Search Behavior Knowledge in E-commerce. | Shu Liu, Zhiqiang Ye, Jian Liao, Jinxin Wu, Zhao Li |
| 2023 | SODA | Nonlinear codes exceeding the Gilbert-Varshamov and Tsfasman-Vlăduţ-Zink bounds. | Shu Liu, Tingyi Wu, Chaoping Xing |
| 2023 | SIGCOMM | Darwin: Flexible Learning-based CDN Caching. | Jiayi Chen, Nihal Sharma, Tarannum Khan, Shu Liu, Brian Chang, Aditya Akella, Sanjay Shakkottai, Ramesh K. Sitaraman |
| 2022 | CGI | GRVT: Toward Effective Grocery Recognition via Vision Transformer. | Shu Liu, Xiaoyu Wang, Chengzhang Zhu, Beiji Zou |
| 2022 | CGI | Toward Efficient Image Denoising: A Lightweight Network with Retargeting Supervision Driven Knowledge Distillation. | Beiji Zou, Yue Zhang, Min Wang, Shu Liu |
| 2022 | CVPR | EfficientNeRF - Efficient Neural Radiance Fields. | Tao Hu, Shu Liu, Yilun Chen, Tiancheng Shen, Jiaya Jia |
| 2022 | CVPR | Stratified Transformer for 3D Point Cloud Segmentation. | Xin Lai, Jianhui Liu, Li Jiang, Liwei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, Jiaya Jia |
| 2022 | CVPR | Generalized Few-shot Semantic Segmentation. | Zhuotao Tian, Xin Lai, Li Jiang, Shu Liu, Michelle Shu, Hengshuang Zhao, Jiaya Jia |
| 2022 | DSN | Federated Learning with Anomaly Client Detection and Decentralized Parameter Aggregation. | Shu Liu, Yanlei Shang |
| 2022 | ECCV | DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation. | Xin Lai, Zhuotao Tian, Xiaogang Xu, Ying-Cong Chen, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia |
| 2022 | ISNCC | An Improved CA-SCL Decoding Algorithm for Polar Code. | Yunfei Tai, Kezhen Li, Liang Zhou, Shu Liu, Xilin Zhang |
| 2022 | NAACL | A Robustly Optimized BMRC for Aspect Sentiment Triplet Extraction. | Shu Liu, Kaiwen Li, Zuhe Li |
| 2021 | CGI | Character Flow Detection and Rectification for Scene Text Spotting. | Beiji Zou, Wenjun Yang, Kai-Wen Li, Enquan Huang, Shu Liu |
| 2021 | CHI | Taking Mental Health & Well-Being to the Streets: An Exploratory Evaluation of In-Vehicle Interventions in the Wild. | Kevin Koch, Verena Tiefenbeck, Shu Liu, Thomas Berger, Elgar Fleisch, Felix Wortmann |
| 2021 | CVPR | Jigsaw Clustering for Unsupervised Visual Representation Learning. | Pengguang Chen, Shu Liu, Jiaya Jia |
| 2021 | CVPR | Distilling Knowledge via Knowledge Review. | Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia |
| 2021 | CVPR | Self-Supervised 3D Mesh Reconstruction From Single Images. | Tao Hu, Liwei Wang, Xiaogang Xu, Shu Liu, Jiaya Jia |
| 2021 | CVPR | Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency. | Xin Lai, Zhuotao Tian, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia |
| 2021 | CVPR | Improving Calibration for Long-Tailed Recognition. | Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia |
| 2021 | ICANN | Radiological Identification of Hip Joint Centers from X-ray Images Using Fast Deep Stacked Network and Dynamic Registration Graph. | Fuchang Han, Shenghui Liao, Renzhong Wu, Shu Liu, Yuqian Zhao, Xiantao Shen |
| 2021 | ICCV | HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration. | Fan Lu, Guang Chen, Yinlong Liu, Lijun Zhang, Sanqing Qu, Shu Liu, Rongqi Gu |
| 2021 | ICCV | Deep Structured Instance Graph for Distilling Object Detectors. | Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia |
| 2021 | ICCV | Learnable Boundary Guided Adversarial Training. | Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia |
| 2021 | ICCV | Parametric Contrastive Learning. | Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia |
| 2021 | ICCV | Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation. | Li Jiang, Shaoshuai Shi, Zhuotao Tian, Xin Lai, Shu Liu, Chi-Wing Fu, Jiaya Jia |
| 2021 | ICCV | Video Instance Segmentation with a Propose-Reduce Paradigm. | Huaijia Lin, Ruizheng Wu, Shu Liu, Jiangbo Lu, Jiaya Jia |
| 2021 | ICML | Learning Stochastic Behaviour from Aggregate Data. | Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou |
| 2021 | IJCAI | EmbedMask: Embedding Coupling for Instance Segmentation. | Hui Ying, Zhaojin Huang, Shu Liu, Tianjia Shao, Kun Zhou |
| 2021 | IJCNN | Explainable Predictions of Renal Cell Carcinoma with Interpretable Tree Ensembles from Contrast-enhanced CT Images. | Fuchang Han, Shenghui Liao, Renzhong Wu, Shu Liu, Yuqian Zhao, Yu Xie |
| 2021 | PRICAI | Adaptive Prediction of Hip Joint Center from X-ray Images Using Generalized Regularized Extreme Learning Machine and Globalized Bounded Nelder-Mead Strategy. | Fuchang Han, Shenghui Liao, Yiyong Jiang, Shu Liu, Yuqian Zhao, Xiantao Shen |
| 2020 | CVPR | DSGN: Deep Stereo Geometry Network for 3D Object Detection. | Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia |
| 2020 | CVPR | PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation. | Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia |
| 2020 | CVPR | 3DSSD: Point-Based 3D Single Stage Object Detector. | Zetong Yang, Yanan Sun, Shu Liu, Jiaya Jia |
| 2020 | DICTA | Network-based structure flow estimation. | Shu Liu, Nick Barnes, Robert E. Mahony, Haolei Ye |
| 2020 | ECCV | Dive Deeper into Box for Object Detection. | Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai |
| 2020 | ECCV | CN: Channel Normalization for Point Cloud Recognition. | Zetong Yang, Yanan Sun, Shu Liu, Xiaojuan Qi, Jiaya Jia |
| 2020 | ISPA | A Multi-Threaded Accelerated Drug Combination Pathway Network Implementation. | Haolei Ye, Shu Liu, Wei Xiao, Eric C. McCreath, Xinzhuang Zhang |
| 2019 | CVPR | Amodal Instance Segmentation With KINS Dataset. | Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia |
| 2019 | CVPR | Associatively Segmenting Instances and Semantics in Point Clouds. | Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia |
| 2019 | ICCV | Fast Point R-CNN. | Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia |
| 2019 | ICCV | Fast and Practical Neural Architecture Search. | Jiequan Cui, Pengguang Chen, Ruiyu Li, Shu Liu, Xiaoyong Shen, Jiaya Jia |
| 2019 | ICCV | Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation. | Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu, Jiaya Jia |
| 2019 | ICCV | STD: Sparse-to-Dense 3D Object Detector for Point Cloud. | Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, Jiaya Jia |
| 2019 | IROS | Mobile Robot Learning from Human Demonstrations with Nonlinear Model Predictive Control. | Yingbai Hu, Guang Chen, Xiangyu Ning, Jinhu Dong, Shu Liu, Alois C. Knoll |
| 2018 | CVPR | Path Aggregation Network for Instance Segmentation. | Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia |
| 2018 | ECCV | PSANet: Point-wise Spatial Attention Network for Scene Parsing. | Hengshuang Zhao, Yi Zhang, Shu Liu, Jianping Shi, Chen Change Loy, Dahua Lin, Jiaya Jia |
| 2017 | ICCV | SGN: Sequential Grouping Networks for Instance Segmentation. | Shu Liu, Jiaya Jia, Sanja Fidler, Raquel Urtasun |
| 2017 | IECON | Research on a low cost charging scheme for wind-solar-diesel hybrid energy generations. | Wei Liu, Furong Liu, Sheng Hu, Qihong Chen, Shu Liu |
| 2016 | CVPR | Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation. | Shu Liu, Xiaojuan Qi, Jianping Shi, Hong Zhang, Jiaya Jia |
| 2015 | ICCV | Box Aggregation for Proposal Decimation: Last Mile of Object Detection. | Shu Liu, Cewu Lu, Jiaya Jia |
| 2015 | ICCV | Contour Box: Rejecting Object Proposals without Explicit Closed Contours. | Cewu Lu, Shu Liu, Jiaya Jia, Chi-Keung Tang |
| 2015 | ICCV | Semantic Segmentation with Object Clique Potential. | Xiaojuan Qi, Jianping Shi, Shu Liu, Renjie Liao, Jiaya Jia |
| 2014 | FNC | LTE and WiFi: Experiences with Quality and Consumption. | Aaron Striegel, Shu Liu, Xueheng Hu, Lei Meng |
| 2014 | ICCCN | Characterizing the utility of smartphone background traffic. | Lei Meng, Shu Liu, Aaron D. Striegel |
| 2014 | ICIP | Real-time object tracking via optimal feature subspace. | Xu Min, Yu Zhou, Shu Liu, Xiang Bai |
| 2014 | INFOCOM | Analyzing the impact of proximity, location, and personality on smartphone usage. | Lei Meng, Shu Liu, Aaron D. Striegel |
| 2013 | ICCCN | Re-Thinking 802.11 Rate Selection in the Face of Non-Altruistic Behavior. | Andrew Blaich, Shu Liu, Aaron Striegel |
| 2013 | ICCCN | Save for Later: A Technique for Improving End-to-End Mesh Network Performance. | Yingxin Jiang, Shu Liu, Aaron Striegel |
| 2013 | ICDAR | Exploring MPE/MWE Training for Chinese Handwriting Recognition. | Tonghua Su, Peijun Ma, Tong Wei, Shu Liu, Shengchun Deng |
| 2013 | MOBICOM | Exploring the potential in practice for opportunistic networks amongst smart mobile devices. | Shu Liu, Aaron Striegel |
| 2013 | SIGCOMM | Lessons learned from the netsense smartphone study. | Aaron Striegel, Shu Liu, Lei Meng, Christian Poellabauer, David Hachen, Omar Lizardo |
| 2013 | SOUPS | Modifying smartphone user locking behavior. | Dirk Van Bruggen, Shu Liu, Mitch Kajzer, Aaron Striegel, Charles R. Crowell, John D'Arcy |
| 2012 | SIGCOMM | Casting doubts on the viability of WiFi offloading. | Shu Liu, Aaron Striegel |
| 2011 | GECCO | Imitation tendencies of local search schemes in baldwinian evolution. | Shu Liu, Hitoshi Iba |
| 2011 | GECCO | A trading method in FX using evolutionary algorithms: extensions based on reverse trend and settlement timing. | Badarch Tserenchimed, Shu Liu, Hitoshi Iba |
| 2011 | ICCCN | Accurate Extraction of Face-to-Face Proximity Using Smartphones and Bluetooth. | Shu Liu, Aaron Striegel |
| 2010 | SAC | Energy efficient management scheme for heterogeneous secondary storage system in mobile computers. | Shu Liu, Xu Cheng, Xuetao Guan, Dong Tong |
| 2008 | ICNC | Applications of Hybrid Genetic Algorithm in Frequency Speed Control Pumping Station. | Xiangping Meng, Hui Wang, Shu Liu, Hong Zhang |
| 2006 | CGI | A Feature-Preserving and Volume-Constrained Flow for Fairing Irregular Meshes. | Chunxia Xiao, Shu Liu, Qunsheng Peng, A. Robin Forrest |
| 2005 | ICPP | BluePower - A New Distributed Multihop Scatternet Formation Protocol for Bluetooth Networks. | Yuanrui Zhang, Shu Liu, Weijia Jia, Xu Cheng |