| 2026 | EuroPar | Frenzy: A Memory-Aware Serverless LLM Training System for Heterogeneous GPU Clusters. | Zihan Chang, Sheng Xiao, Shuibing He, Xuechen Zhang, Siling Yang, Zhenxin Li, Zhe Pan, Weijian Chen |
| 2026 | HPDC | Scalable Quantum Circuit Simulation via Circuit Cutting and FPGA Acceleration. | Xiaokun Yang, Xinpeng Li, Jeremy W. Turner, Cameron D. DiSomma, Yunhe Feng, Xuechen Zhang, Vipin Chaudhary, Shuai Xu |
| 2025 | AAAI | On the Power of Convolution-Augmented Transformer. | Mingchen Li, Xuechen Zhang, Yixiao Huang, Samet Oymak |
| 2025 | CHI | RemiHaven: Integrating "In-Town" and "Out-of-Town" Peers to Provide Personalized Reminiscence Support for Older Drifters. | Xuechen Zhang, Changyang He, Peng Zhang, Hansu Gu, Ning Gu, Qi Shen, Zhan Hu, Tun Lu |
| 2025 | EuroPar | iAug: Accelerating Augmentation with Importance Sampling in Deep Neural Network Training. | Rubayet Rahman Rongon, Xuechen Zhang |
| 2025 | FAST | LeapGNN: Accelerating Distributed GNN Training Leveraging Feature-Centric Model Migration. | Weijian Chen, Shuibing He, Haoyang Qu, Xuechen Zhang |
| 2025 | HPCA | GoPIM: GCN-Oriented Pipeline Optimization for PIM Accelerators. | Siling Yang, Shuibing He, Wenjiong Wang, Yanlong Yin, Tong Wu, Weijian Chen, Xuechen Zhang, Xian-He Sun, Dan Feng |
| 2025 | ICDM | Accelerating Deep-Learning Applications with Efficient Tensor Layout Management. | Keenan Powell, Rubayet Rongon, Xiaokun Yang, Xuechen Zhang |
| 2025 | ICDM | Hardware Generation for Quantum Gate Emulation and Acceleration. | Jeremy W. Turner, Cameron D. DiSomma, Xuechen Zhang, Lei Fan, Xiaokun Yang |
| 2025 | ICML | Test-Time Training Provably Improves Transformers as In-context Learners. | Halil Alperen Gozeten, Muhammed Emrullah Ildiz, Xuechen Zhang, Mahdi Soltanolkotabi, Marco Mondelli, Samet Oymak |
| 2025 | MOBICOM | Demo: L3GS: Layered 3D Gaussian Splats for Efficient 3D Scene Delivery. | Zheng Li, Bernard Yap, Xuechen Zhang, Yi-Zhen Tsai, Jiasi Chen |
| 2025 | MOBICOM | L3GS: Layered 3D Gaussian Splats for Efficient 3D Scene Delivery. | Yi-Zhen Tsai, Xuechen Zhang, Zheng Li, Jiasi Chen |
| 2024 | AAAI | A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions. | Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs, Samet Oymak, Fabio Pasqualetti |
| 2024 | AAAI | Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. | Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak |
| 2024 | EuroPar | A High-Performance Collective I/O Framework Leveraging Node-Local Persistent Memory. | Keegan Sanchez, Alex Gavin, Suren Byna, Kesheng Wu, Xuechen Zhang |
| 2024 | EuroSys | CCL-BTree: A Crash-Consistent Locality-Aware B+-Tree for Reducing XPBuffer-Induced Write Amplification in Persistent Memory. | Zhenxin Li, Shuibing He, Zheng Dang, Peiyi Hong, Xuechen Zhang, Rui Wang, Fei Wu |
| 2024 | ICPP | AUTOHET: An Automated Heterogeneous ReRAM-Based Accelerator for DNN Inference. | Tong Wu, Shuibing He, Jianxin Zhu, Weijian Chen, Siling Yang, Ping Chen, Yanlong Yin, Xuechen Zhang, Xian-He Sun, Gang Chen |
| 2024 | SC | Enumeration of Billions of Maximal Bicliques in Bipartite Graphs without Using GPUs. | Zhe Pan, Shuibing He, Xu Li, Xuechen Zhang, Yanlong Yin, Rui Wang, Lidan Shou, Mingli Song, Xian-He Sun, Gang Chen |
| 2023 | HPCA | iCache: An Importance-Sampling-Informed Cache for Accelerating I/O-Bound DNN Model Training. | Weijian Chen, Shuibing He, Yaowen Xu, Xuechen Zhang, Siling Yang, Shuang Hu, Xian-He Sun, Gang Chen |
| 2023 | SC | Efficient Maximal Biclique Enumeration on GPUs. | Zhe Pan, Shuibing He, Xu Li, Xuechen Zhang, Rui Wang, Gang Chen |
| 2023 | SIGCOMM | Text-to-3D Generative AI on Mobile Devices: Measurements and Optimizations. | Xuechen Zhang, Zheng Li, Samet Oymak, Jiasi Chen |
| 2022 | ASPLOS | NVAlloc: rethinking heap metadata management in persistent memory allocators. | Zheng Dang, Shuibing He, Peiyi Hong, Zhenxin Li, Xuechen Zhang, Xian-He Sun, Gang Chen |
| 2022 | ICMLA | BlinkNet: Software-Defined Deep Learning Analytics with Bounded Resources. | Brian Koga, Theresa VanderWeide, Xinghui Zhao, Xuechen Zhang |
| 2022 | SSDBM | PM-Rtree: A Highly-Efficient Crash-Consistent R-tree for Persistent Memory. | Brandon Lavinsky, Xuechen Zhang |
| 2021 | CLUSTER | CSWAP: A Self-Tuning Compression Framework for Accelerating Tensor Swapping in GPUs. | Ping Chen, Shuibing He, Xuechen Zhang, Shuaiben Chen, Peiyi Hong, Yanlong Yin, Xian-He Sun, Gang Chen |
| 2021 | ICS | AUTO-PRUNE: automated DNN pruning and mapping for ReRAM-based accelerator. | Siling Yang, Weijian Chen, Xuechen Zhang, Shuibing He, Yanlong Yin, Xian-He Sun |
| 2020 | ICIP | Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer. | Yang Chen, Zongqing Lu, Xuechen Zhang, Lei Chen, Qingmin Liao |
| 2020 | ICS | Compiler aided checkpointing using crash-consistent data structures in NVMM systems. | Tyler Coy, Shuibing He, Bin Ren, Xuechen Zhang |
| 2019 | SC | Enforcing Crash Consistency of Scientific Applications in Non-Volatile Main Memory Systems. | Tyler Coy, Xuechen Zhang |
| 2018 | ICCCN | Approximating the k-Minimum Distance Rumor Source Detection in Online Social Networks. | Soklong Lim, Jun Hao, Zaixin Lu, Xuechen Zhang, Zhao Zhang |
| 2017 | ASPLOS | Pallas: Semantic-Aware Checking for Finding Deep Bugs in Fast Path. | Jian Huang, Michael Allen-Bond, Xuechen Zhang |
| 2017 | ICPADS | Feature Guided In-Situ Indices Generation and Data Placement on Distributed Deep Memory Hierarchies. | Xuechen Zhang, Bao Nguyen, Fang Zheng |
| 2017 | SC | Large-scale adaptive mesh simulations through non-volatile byte-addressable memory. | Bao Nguyen, Hua Tan, Xuechen Zhang |
| 2016 | CLUSTER | FlashStager: Improving the Performance of SSD-Based Data Staging Systems via Write Redirection. | Xuechen Zhang, Fang Zheng, Karsten Schwan, Matthew Wolf |
| 2016 | ICCS | WOWMON: A Machine Learning-based Profiler for Self-adaptive Instrumentation of Scientific Workflows. | Xuechen Zhang, Hasan Abbasi, Kevin A. Huck, Allen D. Malony |
| 2016 | ICPADS | Understanding Software Platforms for In-Memory Scientific Data Analysis: A Case Study of the Spark System. | Xuechen Zhang, Ujjwal Khanal, Xinghui Zhao, Stephen P. Ficklin |
| 2015 | CLOUD | Understanding issue correlations: a case study of the Hadoop system. | Jian Huang, Xuechen Zhang, Karsten Schwan |
| 2014 | CCGRID | Flexpath: Type-Based Publish/Subscribe System for Large-Scale Science Analytics. | Jai Dayal, Drew Bratcher, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Xuechen Zhang, Hasan Abbasi, Scott Klasky, Norbert Podhorszki |
| 2013 | HPDC | Orthrus: a framework for implementing high-performance collective I/O in the multicore clusters. | Xuechen Zhang, Jianqiang Ou, Kei Davis, Song Jiang |
| 2013 | ISPASS | Synergistic coupling of SSD and hard disk for QoS-aware virtual memory. | Ke Liu, Xuechen Zhang, Kei Davis, Song Jiang |
| 2013 | MASCOTS | LiU: Hiding Disk Access Latency for HPC Applications with a New SSD-Enabled Data Layout. | Dachuan Huang, Xuechen Zhang, Wei Shi, Mai Zheng, Song Jiang, Feng Qin |
| 2012 | USENIX | Demand Based Hierarchical QoS Using Storage Resource Pools. | Ajay Gulati, Ganesha Shanmuganathan, Xuechen Zhang, Peter J. Varman |
| 2011 | SC | QoS support for end users of I/O-intensive applications using shared storage systems. | Xuechen Zhang, Kei Davis, Song Jiang |
| 2010 | ICS | Untitled record | Xuechen Zhang, Song Jiang |
| 2010 | NPC | Improve Throughput of Storage Cluster Interconnected with a TCP/IP Network Using Intelligent Server Grouping. | Xuechen Zhang, Guiquan Liu, Song Jiang |
| 2010 | NPC | Storage Device Performance Prediction with Selective Bagging Classification and Regression Tree. | Lei Zhang, Guiquan Liu, Xuechen Zhang, Song Jiang, Enhong Chen |
| 2010 | SC | IOrchestrator: Improving the Performance of Multi-node I/O Systems via Inter-Server Coordination. | Xuechen Zhang, Kei Davis, Song Jiang |