Shuhai: Benchmarking High Bandwidth Memory On FPGAS. - Zeke Wang; Hongjing Huang; Jie Zhang 081; Gustavo Alonso (FCCM, 2020)

Benchmarking High Bandwidth Memory on FPGAs. - Zeke Wang; Hongjing Huang; Jie Zhang 081; Gustavo Alonso (CoRR, 2020)

Federated Mutual Learning. - Tao Shen 002; Jie Zhang 081; Xinkang Jia; Fengda Zhang; Gang Huang 004; Pan Zhou; Fei Wu 001; Chao Wu 001 (CoRR, 2020)

A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity. - Jie Zhang 081; Chen Chen 043; Bo Li 115; Lingjuan Lyu; Shuang Wu 001; Jianghe Xu; Shouhong Ding; Chao Wu 001 (CoRR, 2021)

Towards Efficient Data Free Blackbox Adversarial Attack. - Jie Zhang 081; Bo Li 115; Jianghe Xu; Shuang Wu 001; Shouhong Ding; Lei Zhang 197; Chao Wu 001 (CVPR, 2022)

Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning. - Jie Zhang 081; Lei Zhang 197; Gang Li; Chao Wu 001 (ICIP, 2022)

Federated Learning with Label Distribution Skew via Logits Calibration. - Jie Zhang 081; Zhiqi Li 004; Bo Li 115; Jianghe Xu; Shuang Wu 001; Shouhong Ding; Chao Wu 001 (ICML, 2022)

DENSE: Data-Free One-Shot Federated Learning. - Jie Zhang 081; Chen Chen 043; Bo Li 115; Lingjuan Lyu; Shuang Wu 001; Shouhong Ding; Chunhua Shen; Chao Wu 001 (NeurIPS, 2022)

FpgaNIC: An FPGA-based Versatile 100Gb SmartNIC for GPUs. - Zeke Wang; Hongjing Huang; Jie Zhang 081; Fei Wu 001; Gustavo Alonso (USENIX ATC, 2022)

QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models. - Jie Zhang 081; Chen Chen 043; Jiahua Dong 001; Ruoxi Jia 001; Lingjuan Lyu (CoRR, 2022)

Shuhai: A Tool for Benchmarking High Bandwidth Memory on FPGAs. - Hongjing Huang; Zeke Wang; Jie Zhang 081; Zhenhao He; Chao Wu 001; Jun Xiao 001; Gustavo Alonso (IEEE Trans. Computers, 2022)

Delving into the Adversarial Robustness of Federated Learning. - Jie Zhang 081; Bo Li 115; Chen Chen 043; Lingjuan Lyu; Shuang Wu 001; Shouhong Ding; Chao Wu 001 (AAAI, 2023)

Accelerating Dataset Distillation via Model Augmentation. - Lei Zhang 197; Jie Zhang 081; Bowen Lei; Subhabrata Mukherjee; Xiang Pan 001; Bo Zhao; Caiwen Ding; Yao Li 015; Dongkuan Xu (CVPR, 2023)

TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation. - Jie Zhang 081; Chen Chen 043; Weiming Zhuang; Lingjuan Lyu (ICCV, 2023)

Rethinking Data Distillation: Do Not Overlook Calibration. - Dongyao Zhu; Yanbo Fang; Bowen Lei; Yiqun Xie; Dongkuan Xu; Jie Zhang 081; Ruqi Zhang (ICCV, 2023)

IDEAL: Query-Efficient Data-Free Learning from Black-Box Models. - Jie Zhang 081; Chen Chen 043; Lingjuan Lyu (ICLR, 2023)

Federated Domain Adaptation via Pseudo-label Refinement. - Gang Li; Qifei Zhang 001; Peizheng Wang; Jie Zhang 081; Chao Wu 001 (ICME, 2023)

SmartDS: Middle-Tier-centric SmartNIC Enabling Application-aware Message Split for Disaggregated Block Storage. - Jie Zhang 081; Hongjing Huang; Lingjun Zhu; Shu Ma; Dazhong Rong; Yijun Hou; Mo Sun 001; Chaojie Gu; Peng Cheng 001; Chao Shi; Zeke Wang (ISCA, 2023)

Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training. - Jie Sun 017; Li Su 005; Zuocheng Shi; Wenting Shen; Zeke Wang; Lei Wang 004; Jie Zhang 081; Yong Li 020; Wenyuan Yu; Jingren Zhou 001; Fei Wu 001 (USENIX ATC, 2023)

Addressing Catastrophic Forgetting in Federated Class-Continual Learning. - Jie Zhang 081; Chen Chen 043; Weiming Zhuang; LingJuan Lv (CoRR, 2023)

Federated Generative Learning with Foundation Models. - Jie Zhang 081; Xiaohua Qi; Bo Zhao (CoRR, 2023)

Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance. - Jie Sun 017; Mo Sun 001; Zheng Zhang; Jun Xie; Zuocheng Shi; Zihan Yang; Jie Zhang 081; Fei Wu 001; Zeke Wang (CoRR, 2023)

P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs. - Hongjing Huang; Yingtao Li; Jie Sun 017; Xueying Zhu; Jie Zhang 081; Liang Luo; Jialin Li 001; Zeke Wang (IEEE Trans. Parallel Distributed Syst., 2023)

Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. - Tao Shen 002; Jie Zhang 081; Xinkang Jia; Fengda Zhang; Zheqi Lv; Kun Kuang; Chao Wu 001; Fei Wu 001 (Frontiers Inf. Technol. Electron. Eng., 2023)

DmRPC: Disaggregated Memory-aware Datacenter RPC for Data-intensive Applications. - Jie Zhang 081; Xuzheng Chen; Yin Zhang; Zeke Wang (ICDE, 2024)

Demystifying Datapath Accelerator Enhanced Off-path SmartNIC. - Xuzheng Chen; Jie Zhang 081; Ting Fu; Yifan Shen; Shu Ma; Kun Qian; Lingjun Zhu; Chao Shi; Yin Zhang; Ming Liu 027; Zeke Wang (ICNP, 2024)

Feature Transformation for Few-Shot Learning. - Peizheng Wang; Qifei Zhang 001; Jie Zhang 081; Gang Li; Chao Wu 001 (IJCNN, 2024)

Understanding Routable PCIe Performance for Composable Infrastructures. - Wentao Hou; Jie Zhang 081; Zeke Wang; Ming Liu 027 (NSDI, 2024)

RPCAcc: A High-Performance and Reconfigurable PCIe-attached RPC Accelerator. - Jie Zhang 081; Hongjing Huang; Xuzheng Xu; Xiang Li; Jieru Zhao; Ming Liu 027; Zeke Wang (CoRR, 2024)

SparseACC: A Generalized Linear Model Accelerator for Sparse Datasets. - Jie Zhang 081; Hongjing Huang; Jie Sun 017; Juan Gómez-Luna; Onur Mutlu; Zeke Wang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

RpcNIC: Enabling Efficient Datacenter RPC Offloading on PCIe-attached SmartNICs. - Jie Zhang 081; Hongjing Huang; Xuzheng Chen; Xiang Li; Jieru Zhao; Ming Liu 027; Zeke Wang (HPCA, 2025)

CAM: Asynchronous GPU-Initiated, CPU-Managed SSD Management for Batching Storage Access. - Ziyu Song; Jie Zhang 081; Jie Sun 017; Mo Sun 001; Zihan Yang; Zheng Zhang; Xuzheng Chen; Fei Wu 001; Huajin Tang; Zeke Wang (ICDE, 2025)

Hyperion: Co-Optimizing SSD Access and GPU Computation for Cost-Efficient GNN Training. - Jie Sun 017; Mo Sun 001; Zheng Zhang; Zuocheng Shi; Jun Xie; Zihan Yang; Jie Zhang 081; Zeke Wang; Fei Wu 001 (ICDE, 2025)

Does Training with Synthetic Data Truly Protect Privacy? - Yunpeng Zhao; Jie Zhang 081 (ICLR, 2025)

SwCC: Software-Programmable and Per-Packet Congestion Control in RDMA Engine. - Hongjing Huang; Jie Zhang 081; Xuzheng Chen; Ziyu Song; Jiajun Qin; Zeke Wang (USENIX ATC, 2025)

FpgaHub: Fpga-centric Hyper-heterogeneous Computing Platform for Big Data Analytics. - Zeke Wang; Jie Zhang 081; Hongjing Huang; Yingtao Li; Xueying Zhu; Mo Sun 001; Zihan Yang; De Ma; Huajin Tang; Gang Pan 001; Fei Wu 001; Bingsheng He; et al. (CoRR, 2025)

FlexiNS: A SmartNIC-Centric, Line-Rate and Flexible Network Stack. - Xuzheng Chen; Jie Zhang 081; Baolin Zhu; Xueying Zhu; Zhongqing Chen; Shu Ma; Lingjun Zhu; Chao Shi; Yin Zhang; Zeke Wang (CoRR, 2025)

Breaking the Storage-Compute Bottleneck in Billion-Scale ANNS: A GPU-Driven Asynchronous I/O Framework. - Yang Xiao; Mo Sun 001; Ziyu Song; Bing Tian; Jie Zhang 081; Jie Sun 017; Zeke Wang (CoRR, 2025)