Jie Zhang - RankMe

50 papers A* 15A 2B 3Misc 2Journal 25Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Complementarity-Supervised Spectral-Band Routing for Multimodal Emotion Recognition. CoRR Zhexian Huang, Bo Zhao, Hui Ma, Zhishu Liu, Jie Zhang, Ruixin Zhang, Shouhong Ding, Zitong Yu
2026	A	`conf`	SmartNS: Enabling Line-rate and Flexible Network Stack with SmartNIC. EuroSys Xuzheng Chen, Jie Zhang, Baolin Zhu, Xueying Zhu, Zhongqing Chen, Ting Fu, Shu Ma, Lingjun Zhu, Chao Shi, Yin Zhang, Yuanchao Shu, Peng Cheng, Zeke Wang
2025	J	`jnl`	Breaking the Storage-Compute Bottleneck in Billion-Scale ANNS: A GPU-Driven Asynchronous I/O Framework. CoRR Yang Xiao, Mo Sun, Ziyu Song, Bing Tian, Jie Zhang, Jie Sun, Zeke Wang
2025	A*	`conf`	CAM: Asynchronous GPU-Initiated, CPU-Managed SSD Management for Batching Storage Access. ICDE Ziyu Song, Jie Zhang, Jie Sun, Mo Sun, Zihan Yang, Zheng Zhang, Xuzheng Chen, Fei Wu, Huajin Tang, Zeke Wang
2025	A*	`conf`	Does Training with Synthetic Data Truly Protect Privacy? ICLR Yunpeng Zhao, Jie Zhang
2025	J	`jnl`	Does Training with Synthetic Data Truly Protect Privacy? CoRR Yunpeng Zhao, Jie Zhang
2025	J	`jnl`	FlexiNS: A SmartNIC-Centric, Line-Rate and Flexible Network Stack. CoRR Xuzheng Chen, Jie Zhang, Baolin Zhu, Xueying Zhu, Zhongqing Chen, Shu Ma, Lingjun Zhu, Chao Shi, Yin Zhang, Zeke Wang
2025	J	`jnl`	FpgaHub: Fpga-centric Hyper-heterogeneous Computing Platform for Big Data Analytics. CoRR Zeke Wang, Jie Zhang, Hongjing Huang, Yingtao Li, Xueying Zhu, Mo Sun, Zihan Yang, De Ma, Huajin Tang, Gang Pan, Fei Wu, Bingsheng He, Gustavo Alonso
2025	A*	`conf`	Hyperion: Co-Optimizing SSD Access and GPU Computation for Cost-Efficient GNN Training. ICDE Jie Sun, Mo Sun, Zheng Zhang, Zuocheng Shi, Jun Xie, Zihan Yang, Jie Zhang, Zeke Wang, Fei Wu
2025	A*	`conf`	RpcNIC: Enabling Efficient Datacenter RPC Offloading on PCIe-attached SmartNICs. HPCA Jie Zhang, Hongjing Huang, Xuzheng Chen, Xiang Li, Jieru Zhao, Ming Liu, Zeke Wang
2025	—	`conf`	SwCC: Software-Programmable and Per-Packet Congestion Control in RDMA Engine. USENIX ATC Hongjing Huang, Jie Zhang, Xuzheng Chen, Ziyu Song, Jiajun Qin, Zeke Wang
2025	A*	`conf`	Textual Unlearning Gives a False Sense of Unlearning. ICML Jiacheng Du, Zhibo Wang, Jie Zhang, Xiaoyi Pang, Jiahui Hu, Kui Ren
2024	B	`conf`	Demystifying Datapath Accelerator Enhanced Off-path SmartNIC. ICNP Xuzheng Chen, Jie Zhang, Ting Fu, Yifan Shen, Shu Ma, Kun Qian, Lingjun Zhu, Chao Shi, Yin Zhang, Ming Liu, Zeke Wang
2024	J	`jnl`	Demystifying Datapath Accelerator Enhanced Off-path SmartNIC. CoRR Xuzheng Chen, Jie Zhang, Ting Fu, Yifan Shen, Shu Ma, Kun Qian, Lingjun Zhu, Chao Shi, Yin Zhang, Ming Liu, Zeke Wang
2024	A*	`conf`	DmRPC: Disaggregated Memory-aware Datacenter RPC for Data-intensive Applications. ICDE Jie Zhang, Xuzheng Chen, Yin Zhang, Zeke Wang
2024	B	`conf`	Feature Transformation for Few-Shot Learning. IJCNN Peizheng Wang, Qifei Zhang, Jie Zhang, Gang Li, Chao Wu
2024	J	`jnl`	RPCAcc: A High-Performance and Reconfigurable PCIe-attached RPC Accelerator. CoRR Jie Zhang, Hongjing Huang, Xuzheng Xu, Xiang Li, Jieru Zhao, Ming Liu, Zeke Wang
2024	J	`jnl`	SparseACC: A Generalized Linear Model Accelerator for Sparse Datasets. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jie Zhang, Hongjing Huang, Jie Sun, Juan Gómez-Luna, Onur Mutlu, Zeke Wang
2024	Misc	`conf`	Understanding Routable PCIe Performance for Composable Infrastructures. NSDI Wentao Hou, Jie Zhang, Zeke Wang, Ming Liu
2023	A*	`conf`	Accelerating Dataset Distillation via Model Augmentation. CVPR Lei Zhang, Jie Zhang, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu
2023	J	`jnl`	Addressing Catastrophic Forgetting in Federated Class-Continual Learning. CoRR Jie Zhang, Chen Chen, Weiming Zhuang, LingJuan Lv
2023	A*	`conf`	Delving into the Adversarial Robustness of Federated Learning. AAAI Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu
2023	J	`jnl`	Delving into the Adversarial Robustness of Federated Learning. CoRR Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu
2023	A	`conf`	Federated Domain Adaptation via Pseudo-label Refinement. ICME Gang Li, Qifei Zhang, Peizheng Wang, Jie Zhang, Chao Wu
2023	J	`jnl`	Federated Generative Learning with Foundation Models. CoRR Jie Zhang, Xiaohua Qi, Bo Zhao
2023	J	`jnl`	Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. Frontiers Inf. Technol. Electron. Eng. Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu
2023	J	`jnl`	Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance. CoRR Jie Sun, Mo Sun, Zheng Zhang, Jun Xie, Zuocheng Shi, Zihan Yang, Jie Zhang, Fei Wu, Zeke Wang
2023	A*	`conf`	IDEAL: Query-Efficient Data-Free Learning from Black-Box Models. ICLR Jie Zhang, Chen Chen, Lingjuan Lyu
2023	—	`conf`	Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training. USENIX ATC Jie Sun, Li Su, Zuocheng Shi, Wenting Shen, Zeke Wang, Lei Wang, Jie Zhang, Yong Li, Wenyuan Yu, Jingren Zhou, Fei Wu
2023	J	`jnl`	Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training. CoRR Jie Sun, Li Su, Zuocheng Shi, Wenting Shen, Zeke Wang, Lei Wang, Jie Zhang, Yong Li, Wenyuan Yu, Jingren Zhou, Fei Wu
2023	J	`jnl`	P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs. CoRR Hongjing Huang, Yingtao Li, Jie Sun, Xueying Zhu, Jie Zhang, Liang Luo, Jialin Li, Zeke Wang
2023	J	`jnl`	P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs. IEEE Trans. Parallel Distributed Syst. Hongjing Huang, Yingtao Li, Jie Sun, Xueying Zhu, Jie Zhang, Liang Luo, Jialin Li, Zeke Wang
2023	A*	`conf`	Rethinking Data Distillation: Do Not Overlook Calibration. ICCV Dongyao Zhu, Yanbo Fang, Bowen Lei, Yiqun Xie, Dongkuan Xu, Jie Zhang, Ruqi Zhang
2023	J	`jnl`	Rethinking Data Distillation: Do Not Overlook Calibration. CoRR Dongyao Zhu, Bowen Lei, Jie Zhang, Yanbo Fang, Ruqi Zhang, Yiqun Xie, Dongkuan Xu
2023	A*	`conf`	SmartDS: Middle-Tier-centric SmartNIC Enabling Application-aware Message Split for Disaggregated Block Storage. ISCA Jie Zhang, Hongjing Huang, Lingjun Zhu, Shu Ma, Dazhong Rong, Yijun Hou, Mo Sun, Chaojie Gu, Peng Cheng, Chao Shi, Zeke Wang
2023	A*	`conf`	TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation. ICCV Jie Zhang, Chen Chen, Weiming Zhuang, Lingjuan Lyu
2022	J	`jnl`	Accelerating Dataset Distillation via Model Augmentation. CoRR Lei Zhang, Jie Zhang, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu
2022	B	`conf`	Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning. ICIP Jie Zhang, Lei Zhang, Gang Li, Chao Wu
2022	J	`jnl`	Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning. CoRR Jie Zhang, Lei Zhang, Gang Li, Chao Wu
2022	A*	`conf`	DENSE: Data-Free One-Shot Federated Learning. NeurIPS Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu
2022	A*	`conf`	Federated Learning with Label Distribution Skew via Logits Calibration. ICML Jie Zhang, Zhiqi Li, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Chao Wu
2022	J	`jnl`	Federated Learning with Label Distribution Skew via Logits Calibration. CoRR Jie Zhang, Zhiqi Li, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Chao Wu
2022	—	`conf`	FpgaNIC: An FPGA-based Versatile 100Gb SmartNIC for GPUs. USENIX ATC Zeke Wang, Hongjing Huang, Jie Zhang, Fei Wu, Gustavo Alonso
2022	J	`jnl`	QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models. CoRR Jie Zhang, Chen Chen, Jiahua Dong, Ruoxi Jia, Lingjuan Lyu
2022	J	`jnl`	Shuhai: A Tool for Benchmarking High Bandwidth Memory on FPGAs. IEEE Trans. Computers Hongjing Huang, Zeke Wang, Jie Zhang, Zhenhao He, Chao Wu, Jun Xiao, Gustavo Alonso
2022	A*	`conf`	Towards Efficient Data Free Blackbox Adversarial Attack. CVPR Jie Zhang, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Lei Zhang, Chao Wu
2021	J	`jnl`	A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity. CoRR Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Jianghe Xu, Shouhong Ding, Chao Wu
2020	J	`jnl`	Benchmarking High Bandwidth Memory on FPGAs. CoRR Zeke Wang, Hongjing Huang, Jie Zhang, Gustavo Alonso
2020	J	`jnl`	Federated Mutual Learning. CoRR Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Fei Wu, Chao Wu
2020	Misc	`conf`	Shuhai: Benchmarking High Bandwidth Memory On FPGAS. FCCM Zeke Wang, Hongjing Huang, Jie Zhang, Gustavo Alonso