| 2026 | AAAI | SALR: Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models. | Longteng Zhang, Sen Wu, Shuai Hou, Zhengyu Qing, Zhuo Zheng, Danning Ke, Qihong Lin, Qiang Wang, Shaohuai Shi, Xiaowen Chu |
| 2026 | ACL | FinKario: Event-Enhanced Automated Construction of Financial Knowledge Graph. | Xiang Li, Penglei Sun, Wanyun Zhou, Zikai Wei, Yongqi Zhang, Xiaowen Chu |
| 2026 | ACL | Probing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not Stable. | Zhenheng Tang, Qihua Pan, Jingya Shen, Xiang Liu, Qian Wang, Bo Li, Xiaowen Chu |
| 2026 | ASPLOS | ZipServ: Fast and Memory-Efficient LLM Inference with Hardware-Aware Lossless Compression. | Ruibo Fan, Xiangrui Yu, Xinglin Pan, Zeyu Li, Weile Luo, Qiang Wang, Wei Wang, Xiaowen Chu |
| 2026 | ICDE | SNI-GNN: SmartNIC-Assisted Full-Graph GNN Training with In-Network Embedding Prediction. | Guofan Yu, Sitian Chen, Zhenheng Tang, Xiaowen Chu, Amelie Chi Zhou |
| 2026 | INFOCOM | HierMoE: Accelerating MoE Training with Hierarchical Token Deduplication and Expert Swap. | Wenxiang Lin, Xinglin Pan, Lin Zhang, Shaohuai Shi, Xuan Wang, Xiaowen Chu |
| 2026 | INFOCOM | Compass: Dissecting Communication and Computation Operators for Efficient LLM Training. | Guangyu Xiang, Lin Zhang, Haoxuan Yu, Xinglin Pan, Shaohuai Shi, Xiaowen Chu |
| 2026 | INFOCOM | Venus: An Efficient Edge Memory-and-Retrieval System for VLM-based Online Video Understanding. | Shengyuan Ye, Bei Ouyang, Tianyi Qian, Liekang Zeng, Mu Yuan, Xiaowen Chu, Weijie Hong, Xu Chen |
| 2026 | INFOCOM | Accelerating Multi-modal LLM Training with Adaptive Model Placement and Parallelization. | Yiming Yin, Shaohuai Shi, Qiang Wang, Xiaowen Chu |
| 2026 | ICS | DynSpAttn: Efficient Attention via Dual-Side Dynamic Sparsity on Sparse Tensor Cores. | Xiangrui Yu, Ruibo Fan, Zeyu Li, Weile Luo, Gu Gong, Xiaowen Chu |
| 2026 | PPoPP | ROME: Maximizing GPU Efficiency for All-Pairs Shortest Path via Taming Fine-Grained Irregularities. | Weile Luo, Yuhan Chen, Xiangrui Yu, Qiang Wang, Ruibo Fan, Hongyuan Liu, Xiaowen Chu |
| 2026 | SIGCOMM | ZipCCL: Efficient Lossless Data Compression of Communication Collectives for Accelerating LLM Training. | Wenxiang Lin, Xinglin Pan, Ruibo Fan, Shaohuai Shi, Xiaowen Chu |
| 2025 | AAAI | ParZC: Parametric Zero-Cost Proxies for Efficient NAS. | Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Zimian Wei, Qiang Wang, Xiaowen Chu |
| 2025 | ACL | AdaEdit: Advancing Continuous Knowledge Editing For Large Language Models. | Qi Li, Xiaowen Chu |
| 2025 | ACL | UnrealLLM: Towards Highly Controllable and Interactable 3D Scene Generation by LLM-powered Procedural Content Generation. | SongTang SongTang, Kaiyong Zhao, Lei Wang, Yuliang Li, Xuebo Liu, Junyi Zou, Qiang Wang, Xiaowen Chu |
| 2025 | ASPLOS | FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models. | Xinglin Pan, Wenxiang Lin, Lin Zhang, Shaohuai Shi, Zhenheng Tang, Rui Wang, Bo Li, Xiaowen Chu |
| 2025 | EMNLP | Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research. | Xiang Liu, Penglei Sun, Shuyan Chen, Longhan Zhang, Peijie Dong, Huajie You, Yongqi Zhang, Chang Yan, Xiaowen Chu, Tong-yi Zhang |
| 2025 | EuroPar | ScheInfer: Efficient Inference of Large Language Models with Task Scheduling on Moderate GPUs. | Wenxiang Lin, Xinglin Pan, Shaohuai Shi, Xuan Wang, Xiaowen Chu |
| 2025 | EuroSys | SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs. | Ruibo Fan, Xiangrui Yu, Peijie Dong, Zeyu Li, Gu Gong, Qiang Wang, Wei Wang, Xiaowen Chu |
| 2025 | ICDCS | Mast: Efficient Training of Mixture-of-Experts Transformers with Task Pipelining and Ordering. | Wenxiang Lin, Xinglin Pan, Shaohuai Shi, Xuan Wang, Bo Li, Xiaowen Chu |
| 2025 | ICDCS | Mitigating Contention in Stream Multiprocessors for Pipelined Mixture of Experts: An SM-Aware Scheduling Approach. | Xinglin Pan, Rui Wang, Wenxiang Lin, Shaohuai Shi, Xiaowen Chu |
| 2025 | ICLR | STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs. | Peijie Dong, Lujun Li, Yuedong Zhong, Dayou Du, Ruibo Fan, Yuhan Chen, Zhenheng Tang, Qiang Wang, Wei Xue, Yike Guo, Xiaowen Chu |
| 2025 | ICLR | Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection. | Lei Shen, Zhenheng Tang, Lijun Wu, Yonggang Zhang, Xiaowen Chu, Tao Qin, Bo Han |
| 2025 | ICML | Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression. | Peijie Dong, Zhenheng Tang, Xiang Liu, Lujun Li, Xiaowen Chu, Bo Li |
| 2025 | INFOCOM | Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices. | Shengyuan Ye, Bei Ouyang, Liekang Zeng, Tianyi Qian, Xiaowen Chu, Jian Tang, Xu Chen |
| 2025 | IROS | SAFormer: Spatially Adaptive Transformer for Efficient and Multi-Resolution Occupancy Prediction. | Song Tang, Qiang Wang, Xiaowen Chu |
| 2025 | IROS | RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories. | Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng |
| 2025 | KDD | BurstGPT: A Real-World Workload Dataset to Optimize LLM Serving Systems. | Yuxin Wang, Yuhan Chen, Zeyu Li, Xueze Kang, Yuchu Fang, Yeju Zhou, Yang Zheng, Zhenheng Tang, Xin He, Rui Guo, Xin Wang, Qiang Wang, Amelie Chi Zhou, Xiaowen Chu |
| 2025 | MICCAI | ReSeg-UNet: A Reconstruction-Guided Optimization Framework for Enhanced Medical Image Segmentation. | Lin Li, Dong Tang, Xiaowen Chu, Xiaofei Yang, Fei Yu |
| 2025 | MICRO | Interleaved Bitstream Execution for Multi-Pattern Regex Matching on GPUs. | Tianao Ge, Xiaowen Chu, Hongyuan Liu |
| 2025 | PPoPP | SGDRC: Software-Defined Dynamic Resource Control for Concurrent DNN Inference on NVIDIA GPUs. | Yongkang Zhang, Haoxuan Yu, Chenxia Han, Cheng Wang, Baotong Lu, Yunzhe Li, Zhifeng Jiang, Yang Li, Xiaowen Chu, Huaicheng Li |
| 2024 | AAAI | CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning. | Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng |
| 2024 | ACL | BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation. | Dayou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu |
| 2024 | ACL | Can We Continually Edit Language Models? On the Knowledge Attenuation in Sequential Model Editing. | Qi Li, Xiaowen Chu |
| 2024 | ASPLOS | DTC-SpMM: Bridging the Gap in Accelerating General Sparse Matrix Multiplication with Tensor Cores. | Ruibo Fan, Wei Wang, Xiaowen Chu |
| 2024 | CVPR | VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting. | Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang |
| 2024 | ECCV | Multi-task Domain Adaptation for Language Grounding with 3D Objects. | Penglei Sun, Yaoxian Song, Xinglin Pan, Peijie Dong, Xiaofei Yang, Qiang Wang, Zhixu Li, Tiefeng Li, Xiaowen Chu |
| 2024 | EMNLP | LPZero: Language Model Zero-cost Proxy Search from Zero. | Peijie Dong, Lujun Li, Xiang Liu, Zhenheng Tang, Xuebo Liu, Qiang Wang, Xiaowen Chu |
| 2024 | EMNLP | LongGenBench: Long-context Generation Benchmark. | Xiang Liu, Peijie Dong, Xuming Hu, Xiaowen Chu |
| 2024 | EuroSys | ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling. | Shaohuai Shi, Xinglin Pan, Qiang Wang, Chengjian Liu, Xiaozhe Ren, Zhongzhe Hu, Yu Yang, Bo Li, Xiaowen Chu |
| 2024 | ICDCS | Enhancing AI-Generated Content Efficiency Through Adaptive Multi-Edge Collaboration. | Changfu Xu, Jianxiong Guo, Jiandian Zeng, Shengguang Meng, Xiaowen Chu, Jiannong Cao, Tian Wang |
| 2024 | ICLR | FedImpro: Measuring and Improving Client Update in Federated Learning. | Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian, Tongliang Liu, Bo Han, Xiaowen Chu |
| 2024 | ICML | Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models. | Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu |
| 2024 | ICPP | Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning. | Zichen Tang, Junlin Huang, Rudan Yan, Yuxin Wang, Zhenheng Tang, Shaohuai Shi, Amelie Chi Zhou, Xiaowen Chu |
| 2024 | INFOCOM | Parm: Efficient Training of Large Sparsely-Activated Models with Dedicated Schedules. | Xinglin Pan, Wenxiang Lin, Shaohuai Shi, Xiaowen Chu, Weinong Sun, Bo Li |
| 2024 | INFOCOM | Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference. | Shengyuan Ye, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen |
| 2024 | MOBICOM | Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices. | Shengyuan Ye, Liekang Zeng, Xiaowen Chu, Guoliang Xing, Xu Chen |
| 2023 | AAAI | NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. | Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu |
| 2023 | AAAI | Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity. | Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng |
| 2023 | ICA3PP | SMCoEdge: Simultaneous Multi-server Offloading for Collaborative Mobile Edge Computing. | Changfu Xu, Yupeng Li, Xiaowen Chu, Haodong Zou, Weijia Jia, Tian Wang |
| 2023 | ICDCS | DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining. | Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu |
| 2023 | ICDCS | Evaluation and Optimization of Gradient Compression for Distributed Deep Learning. | Lin Zhang, Longteng Zhang, Shaohuai Shi, Xiaowen Chu, Bo Li |
| 2023 | INFOCOM | PipeMoE: Accelerating Mixture-of-Experts through Adaptive Pipelining. | Shaohuai Shi, Xinglin Pan, Xiaowen Chu, Bo Li |
| 2023 | IWQoS | Improving Fairness in Coexisting 5G and Wi-Fi Network on Unlicensed Band with URLLC. | Haodong Zou, Yupeng Li, Xiaowen Chu, Changfu Xu, Tian Wang |
| 2023 | KDD | AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning. | Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han |
| 2022 | ECCV | EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching. | Qiang Wang, Shaohuai Shi, Kaiyong Zhao, Xiaowen Chu |
| 2022 | ECCV | EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs. | Guohao Ying, Xin He, Bin Gao, Bo Han, Xiaowen Chu |
| 2022 | ICML | Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning. | Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu |
| 2022 | MICCAI | Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification. | Xin He, Guohao Ying, Jiyong Zhang, Xiaowen Chu |
| 2022 | PPoPP | An LLVM-based open-source compiler for NVIDIA GPUs. | Da Yan, Wei Wang, Xiaowen Chu |
| 2021 | AAAI | Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans. | Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding |
| 2021 | CVPR | EDNet: Efficient Disparity Estimation With Cost Volume Combination and Attention-Based Spatial Residual. | Songyan Zhang, Zhicheng Wang, Qiang Wang, Jinshuo Zhang, Gang Wei, Xiaowen Chu |
| 2021 | DASFAA | BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing. | Zhe Peng, Jinbin Huang, Haixin Wang, Shihao Wang, Xiaowen Chu, Xinzhi Zhang, Li Chen, Xin Huang, Xiaoyi Fu, Yike Guo, Jianliang Xu |
| 2021 | INFOCOM | Exploiting Simultaneous Communications to Accelerate Data Parallel Distributed Deep Learning. | Shaohuai Shi, Xiaowen Chu, Bo Li |
| 2021 | PPoPP | Simplifying low-level GPU programming with GAS. | Da Yan, Wei Wang, Xiaowen Chu |
| 2021 | SIGMOD | P | Zhe Peng, Cheng Xu, Haixin Wang, Jinbin Huang, Jianliang Xu, Xiaowen Chu |
| 2020 | CCGRID | Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training. | Yuxin Wang, Qiang Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Kaiyong Zhao, Xiaowen Chu |
| 2020 | ECAI | Layer-Wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees. | Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu |
| 2020 | GLOBECOM | Multi-Fingerprint for Wireless Localization in Time-Varying Indoor Environment. | Lu Yu, Yiu-Wing Leung, Xiaowen Chu, Joseph Kee-Yin Ng |
| 2020 | ICDCS | A Multi-node Collaborative Storage Strategy via Clustering in Blockchain Network. | Mengya Li, Yang Qin, Bing Liu, Xiaowen Chu |
| 2020 | ICDCS | Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection. | Zhenheng Tang, Shaohuai Shi, Xiaowen Chu |
| 2020 | ICDCS | Performance Characterization and Bottleneck Analysis of Hyperledger Fabric. | Canhui Wang, Xiaowen Chu |
| 2020 | ICDCS | FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC. | Rongfei Zeng, Shixun Zhang, Jiaqi Wang, Xiaowen Chu |
| 2020 | ICPADS | Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format. | Shaohuai Shi, Qiang Wang, Xiaowen Chu |
| 2020 | INFOCOM | Joint Access Point Placement and Power-Channel-Resource-Unit Assignment for 802.11ax-Based Dense WiFi with QoS Requirements. | Shuwei Qiu, Xiaowen Chu, Yiu-Wing Leung, Joseph Kee-Yin Ng |
| 2020 | INFOCOM | Communication-Efficient Distributed Deep Learning with Merged Gradient Sparsification on GPUs. | Shaohuai Shi, Qiang Wang, Xiaowen Chu, Bo Li, Yang Qin, Ruihao Liu, Xinxiao Zhao |
| 2020 | ICRA | FADNet: A Fast and Accurate Network for Disparity Estimation. | Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu |
| 2020 | PPoPP | GPGPU performance estimation for frequency scaling using cross-benchmarking. | Qiang Wang, Chengjian Liu, Xiaowen Chu |
| 2020 | PPoPP | Optimizing batched Winograd convolution on GPUs. | Da Yan, Wei Wang, Xiaowen Chu |
| 2019 | ICDCS | A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks. | Shaohuai Shi, Qiang Wang, Kaiyong Zhao, Zhenheng Tang, Yuxin Wang, Xiang Huang, Xiaowen Chu |
| 2019 | ICDE | Reducing Forks in the Blockchain via Probabilistic Verification. | Bing Liu, Yang Qin, Xiaowen Chu |
| 2019 | IJCAI | A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification. | Shaohuai Shi, Kaiyong Zhao, Qiang Wang, Zhenheng Tang, Xiaowen Chu |
| 2019 | INFOCOM | MG-WFBP: Efficient Data Communication for Distributed Synchronous SGD Algorithms. | Shaohuai Shi, Xiaowen Chu, Bo Li |
| 2019 | PIMRC | Minimal Discrepancy Placement of Sniffers and Calibrators for Wireless Indoor Localization. | Lu Yu, Yiu-Wing Leung, Xiaowen Chu, Joseph Kee-Yin Ng |
| 2018 | DASC | Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs. | Shaohuai Shi, Qiang Wang, Xiaowen Chu |
| 2018 | ICPADS | A DAG Model of Synchronous Stochastic Gradient Descent in Distributed Deep Learning. | Shaohuai Shi, Qiang Wang, Xiaowen Chu, Bo Li |
| 2018 | ICPADS | GPGPU Performance Estimation with Core and Memory Frequency Scaling. | Qiang Wang, Xiaowen Chu |
| 2018 | IWQoS | Anchor Selection for Localization in Large Indoor Venues. | Omotayo Oshiga, Xiaowen Chu, Yiu-Wing Leung, Joseph Kee-Yin Ng |
| 2018 | PIMRC | ZOS: A Fast Rendezvous Algorithm Based on Set of Available Channels for Cognitive Radios. | Zhiyong Lin, Hai Liu, Lu Yu, Yiu-Wing Leung, Xiaowen Chu |
| 2018 | WCNC | Cooperative rendezvous protocol for multiple user-pairs in cognitive radio networks. | Lu Yu, Hai Liu, Yiu-Wing Leung, Xiaowen Chu, Zhiyong Lin |
| 2017 | ICPADS | Supervised Learning Based Algorithm Selection for Deep Neural Networks. | Shaohuai Shi, Pengfei Xu, Xiaowen Chu |
| 2017 | INFOCOM | Energy efficient real-time task scheduling on CPU-GPU hybrid clusters. | Xinxin Mei, Xiaowen Chu, Hai Liu, Yiu-Wing Leung, Zongpeng Li |
| 2016 | GLOBECOM | Joint VM-Switch Consolidation for Energy Efficiency in Data Centers. | Lijia Ma, Hai Liu, Yiu-Wing Leung, Xiaowen Chu |
| 2016 | GLOBECOM | Minimum-Cost Recruitment of Mobile Crowdsensing in Cellular Networks. | Fusang Zhang, Beihong Jin, Hai Liu, Yiu-Wing Leung, Xiaowen Chu |
| 2016 | ICCCN | Power-Aware Wireless Transmission for Computation Offloading in Mobile Cloud. | Lei Zhang, Cong Zhang, Jiangchuan Liu, Xiaowen Chu, Ke Xu, Haiyang Wang, Yong Jiang |
| 2015 | GLOBECOM | Adjustable Rendezvous in Multi-Radio Cognitive Radio Networks. | Lu Yu, Hai Liu, Yiu-Wing Leung, Xiaowen Chu, Zhiyong Lin |
| 2015 | ICDCS | Community-Based Bus System as Routing Backbone for Vehicular Ad Hoc Networks. | Fusang Zhang, Hai Liu, Yiu-Wing Leung, Xiaowen Chu, Beihong Jin |
| 2015 | INFOCOM | Online procurement auctions for resource pooling in client-assisted cloud storage systems. | Jian Zhao, Xiaowen Chu, Hai Liu, Yiu-Wing Leung, Zongpeng Li |
| 2014 | GLOBECOM | Minimum latency server selection for heterogeneous cloud services. | He Chang, Hai Liu, Yiu-Wing Leung, Xiaowen Chu |
| 2014 | NPC | Benchmarking the Memory Hierarchy of Modern GPUs. | Xinxin Mei, Kaiyong Zhao, Chengjian Liu, Xiaowen Chu |
| 2013 | ICDCN | How to Survive and Thrive in a Private BitTorrent Community. | Adele Lu Jia, Xiaowei Chen, Xiaowen Chu, Johan A. Pouwelse, Dick H. J. Epema |
| 2013 | SOSP | A measurement study of GPU DVFS on energy conservation. | Xinxin Mei, Ling Sing Yung, Kaiyong Zhao, Xiaowen Chu |
| 2012 | HPCC | Inequity of Sharing Ratio Enhancement in Darknet: Measurement and Improvement. | Xiaowei Chen, Xiaowen Chu, Adele Lu Jia, Johan A. Pouwelse |
| 2012 | HPCC | Speeding up Scoring Module of Mass Spectrometry Based Protein Identification by GPU. | You Li, Xiaowen Chu |
| 2012 | HPCC | Implementation of a Lattice Boltzmann Method for Large Eddy Simulation on Multiple GPUs. | Qinjian Li, Chengwen Zhong, Kai Li, Guangyong Zhang, Xiaowei Lu, Qing Zhang, Kaiyong Zhao, Xiaowen Chu |
| 2012 | HPCC | Implementation and Analysis of AES Encryption on GPU. | Qinjian Li, Chengwen Zhong, Kaiyong Zhao, Xinxin Mei, Xiaowen Chu |
| 2012 | ICCCN | Generalized-Bi-Connectivity for Fault Tolerant Cognitive Radio Networks. | Hai Liu, Youhua Zhou, Xiaowen Chu, Yiu-Wing Leung, Zhifeng Hao |
| 2012 | Networking | Maximizing Lifetime of Connected-Dominating-Set in Cognitive Radio Networks. | Zhiyong Lin, Hai Liu, Xiaowen Chu, Yiu-Wing Leung, Ivan Stojmenovic |
| 2011 | GLOBECOM | An Authorization Model without Central Authority for Service Collaboration. | Ran Yang, Chuang Lin, Yixin Jiang, Xiaowen Chu |
| 2011 | ICCCN | Improving Sustainability of Private P2P Communities. | Xiaowei Chen, Xiaowen Chu, Zongpeng Li |
| 2011 | INFOCOM | Jump-stay based channel-hopping algorithm with guaranteed rendezvous for cognitive radio networks. | Zhiyong Lin, Hai Liu, Xiaowen Chu, Yiu-Wing Leung |
| 2010 | GLOBECOM | Unveiling Popularity of BitTorrent Darknets. | Xiaowei Chen, Xiaowen Chu, Jiangchuan Liu |
| 2010 | GLOBECOM | An Efficient Privacy-Preserving Publish-Subscribe Service Scheme for Cloud Computing. | Yanping Xiao, Chuang Lin, Yixin Jiang, Xiaowen Chu, Fangqin Liu |
| 2010 | GLOBECOM | Performance Analysis of Data Management in Sensor Data Storage via Stochastic Petri Nets. | Rongfei Zeng, Chuang Lin, Yixin Jiang, Xiaowen Chu, Fangqin Liu |
| 2010 | IWQoS | Measurements, analysis and modeling of private tracker sites. | Xiaowei Chen, Xiaowen Chu, Yixin Jiang, Fengyuan Ren |
| 2009 | GLOBECOM | Maximizing Lifetime of Sensor-Target Surveillance in Wireless Sensor Networks. | Hai Liu, Xiaowen Chu, Yiu-Wing Leung, Xiaohua Jia, Peng-Jun Wan |
| 2009 | GLOBECOM | An Effective Early Warning Scheme against Pollution Dissemination for BitTorrent. | An'an Luo, Chuang Lin, Yixin Jiang, Xiaowen Chu, Hongkun Yang |
| 2009 | Networking | Practical Random Linear Network Coding on GPUs. | Xiaowen Chu, Kaiyong Zhao, Mea Wang |
| 2009 | Qshine | Risk-Aware QoP/QoS Optimization for Multimedia Applications in Wireless Networks. | Yanping Xiao, Chuang Lin, Yixin Jiang, Xiaowen Chu, Shengling Wang |
| 2008 | ATC | SepRep: A Novel Reputation Evaluation Model in Peer-to-Peer Networks. | Xiaowei Chen, Kaiyong Zhao, Xiaowen Chu |
| 2008 | COCOON | Spectrum Bidding in Wireless Networks and Related. | Xiang-Yang Li, Ping Xu, Shaojie Tang, Xiaowen Chu |
| 2008 | IPCCC | Massively Parallel Network Coding on GPUs. | Xiaowen Chu, Kaiyong Zhao, Mea Wang |
| 2007 | AAIM | Design of a Fuzzy PI Controller to Guarantee Proportional Delay Differentiation on Web Servers. | Ka Ho Chan, Xiaowen Chu |
| 2007 | ATC | On the Homonymous Role in Role-Based Discretionary Access Control. | Kai Ouyang, Xiaowen Chu, Yixin Jiang, Hsiao-Hwa Chen, Jiangchuan Liu |
| 2006 | ATC | Self-certified Mutual Authentication and Key Exchange Protocol for Roaming Services. | Xiaowen Chu, Yixin Jiang, Chuang Lin, Fujun Feng |
| 2006 | MASS | Energy Efficient Routing With Unreliable Links in Wireless Networks. | Xiang-Yang Li, Haiming Chen, Yantai Shu, Xiaowen Chu, Yanwei Wu |
| 2005 | AAIM | Mechanism Design for Set Cover Games When Elements Are Agents. | Zheng Sun, Xiang-Yang Li, Weizhao Wang, Xiaowen Chu |
| 2005 | HPCC | Class-Based Latency Assurances for Web Servers. | Yaya Wei, Chuang Lin, Xiaowen Chu, Zhiguang Shan, Fengyuan Ren |
| 2005 | MSWIM | A novel secure wireless video surveillance system based on Intel IXP425 network processor. | Hao Yin, Chuang Lin, Sebastien Berton, Xiaowen Chu |
| 2004 | INFOCOM | Analysis of Sparse-Partial Wavelength Conversion in Wavelength-Routed WDM Networks. | Xiaowen Chu, Jiangchuan Liu, Zhensheng Zhang |
| 2004 | INFOCOM | Proxy Cache Management for Fine-Grained Scalable Video Streaming. | Jiangchuan Liu, Xiaowen Chu, Jianliang Xu |
| 2003 | INFOCOM | A Dynamic RWA Algorithm in a Wavelength-Routed All-Optical Network with Wavelength Converters. | Xiaowen Chu, Bo Li |
| 2002 | GLOBECOM | Routing and wavelength assignment issues in the presence of wavelength conversion for all-optical networks. | Xiaowen Chu, Bo Li, Kazem Sohraby, Zhensheng Zhang |