Wei Wang - RankMe

155 papers A* 17A 23B 13C 2Misc 3Journal 71Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	ELORA: Efficient LoRA and KV Cache Management for Multi-LoRA LLM Serving. HPCA Jiuchen Shi, Hang Zhang, Yixiao Wang, Quan Chen, Yizhou Shan, Kaihua Fu, Wei Wang, Minyi Guo
2026	A	`conf`	Efficient Data Passing for Serverless Inference Workflows: A GPU-Centric Approach. EuroSys Hao Wu, Yaochen Liu, Minchen Yu, Qizhen Weng, Junxiao Deng, Yue Yu, Hao Fan, Song Wu, Wei Wang, Hai Jin
2026	A	`conf`	FlashPS: Efficient Generative Image Editing with Mask-aware Caching and Scheduling. EuroSys Xiaoxiao Jiang, Suyi Li, Lingyun Yang, Tianyu Feng, Zhipeng Di, Weiyi Lu, Guoxuan Zhu, Xiu Lin, Kan Liu, Yinghao Yu, Tao Lan, Guodong Yang, Lin Qu, Liping Zhang, Wei Wang
2026	J	`jnl`	Mitigating Server-Side Communication Bottlenecks in Distributed Learning With Round-Robin Participant Coordination. IEEE Trans. Netw. Jiayi Zhang, Chen Chen, Zuo Gan, Wei Wang, Bo Li, Minyi Guo
2026	J	`jnl`	QoS Awareness and Improved Throughput of Point Cloud Services With Dynamic Workloads. IEEE Trans. Computers Kaihua Fu, Jiuchen Shi, Yao Chen, Quan Chen, Weng-Fai Wong, Wei Wang, Bingsheng He, Minyi Guo
2026	—	`conf`	ZipServ: Fast and Memory-Efficient LLM Inference with Hardware-Aware Lossless Compression. ASPLOS (2) Ruibo Fan, Xiangrui Yu, Xinglin Pan, Zeyu Li, Weile Luo, Qiang Wang, Wei Wang, Xiaowen Chu
2026	J	`jnl`	ZipServ: Fast and Memory-Efficient LLM Inference with Hardware-Aware Lossless Compression. CoRR Ruibo Fan, Xiangrui Yu, Xinglin Pan, Zeyu Li, Weile Luo, Qiang Wang, Wei Wang, Xiaowen Chu
2025	J	`jnl`	Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation. CoRR Tianyuan Wu, Lunxi Cao, Hanfeng Lu, Xiaoxiao Jiang, Yinghao Yu, Siran Yang, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang, Wei Wang
2025	A*	`conf`	Alibaba Stellar: A New Generation RDMA Network for Cloud AI. SIGCOMM Jie Lu, Jiaqi Gao, Fei Feng, Zhiqiang He, Menglei Zheng, Kun Liu, Jun He, Binbin Liao, Suwei Xu, Ke Sun, Yongjia Mo, Qinghua Peng, Jilie Luo, Qingxu Li, Gang Lu, Zishu Wang, Jianbo Dong, Kunling He, Sheng Cheng, Jiamin Cao, Hairong Jiao, Pengcheng Zhang, Shu Ma, Lingjun Zhu, Chao Shi, Yangming Zhang, Yiquan Chen, Wei Wang, Shuhong Zhu, Xingru Li, Qiang Wang, Jiang Liu, Chao Wang, Wei Lin, Ennan Zhai, Jiesheng Wu, Qiang Liu, Binzhang Fu, Dennis Cai
2025	J	`jnl`	Calibration Signal-Assisted Emitter Localization Under Sensor Position Uncertainty. IEEE Trans. Aerosp. Electron. Syst. Ming-Yi You, Wenqiang Pu, Rui Zhou, Yun-Xia Ye, Minrui Xiao, Wei Wang, Qingjiang Shi
2025	J	`jnl`	Efficient MoE Inference with Fine-Grained Scheduling of Disaggregated Expert Parallelism. CoRR Xinglin Pan, Shaohuai Shi, Wenxiang Lin, Yuxin Wang, Zhenheng Tang, Wei Wang, Xiaowen Chu
2025	J	`jnl`	Feature Reconstruction Attacks and Countermeasures of DNN Training in Vertical Federated Learning. IEEE Trans. Dependable Secur. Comput. Peng Ye, Zhifeng Jiang, Wei Wang, Bo Li, Baochun Li
2025	J	`jnl`	FedPHE: A Secure and Efficient Federated Learning via Packed Homomorphic Encryption. IEEE Trans. Dependable Secur. Comput. Yuqing Li, Nan Yan, Jing Chen, Xiong Wang, Jianan Hong, Kun He, Wei Wang, Bo Li
2025	Misc	`conf`	GPU-Disaggregated Serving for Deep Learning Recommendation Models at Scale. NSDI Lingyun Yang, Yongchen Wang, Yinghao Yu, Qizhen Weng, Jianbo Dong, Kan Liu, Chi Zhang, Yanyi Zi, Hao Li, Zechao Zhang, Nan Wang, Yu Dong, Menglei Zheng, Lanlan Xi, Xiaowei Lu, Liang Ye, Guodong Yang, Binzhang Fu, Tao Lan, Liping Zhang, Lin Qu, Wei Wang
2025	—	`conf`	GREYHOUND: Hunting Fail-Slows in Hybrid-Parallel Training at Scale. USENIX ATC Tianyuan Wu, Wei Wang, Yinghao Yu, Siran Yang, Wenchao Wu, Qinkai Duan, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang
2025	J	`jnl`	Guest Editorial Special Issue on Federated Learning for Big Data Applications. IEEE Trans. Big Data Xiaowen Chu, Wei Wang, Cong Wang, Yang Liu, Rongfei Zeng, Christopher G. Brinton
2025	J	`jnl`	InstGenIE: Generative Image Editing Made Efficient with Mask-aware Caching and Scheduling. CoRR Xiaoxiao Jiang, Suyi Li, Lingyun Yang, Tianyu Feng, Zhipeng Di, Weiyi Lu, Guoxuan Zhu, Xiu Lin, Kan Liu, Yinghao Yu, Tao Lan, Guodong Yang, Lin Qu, Liping Zhang, Wei Wang
2025	—	`conf`	Katz: Efficient Workflow Serving for Diffusion Models with Many Adapters. USENIX ATC Suyi Li, Lingyun Yang, Xiaoxiao Jiang, Hanfeng Lu, Dakai An, Zhipeng Di, Weiyi Lu, Jiawei Chen, Kan Liu, Yinghao Yu, Tao Lan, Guodong Yang, Lin Qu, Liping Zhang, Wei Wang
2025	J	`jnl`	Part II: ROLL Flash - Accelerating RLVR and Agentic Training with Asynchrony. CoRR Han Lu, Zichen Liu, Shaopan Xiong, Yancheng He, Wei Gao, Yanan Wu, Weixun Wang, Jiashun Liu, Yang Li, Haizhou Zhao, Ju Huang, Siran Yang, Xiaoyang Li, Yijia Luo, Zihe Liu, Ling Pan, Junchi Yan, Wei Wang, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng
2025	J	`jnl`	Pheromone: Restructuring Serverless Computing With Data-Centric Function Orchestration. IEEE Trans. Netw. Minchen Yu, Tingjia Cao, Wei Wang, Ruichuan Chen
2025	J	`jnl`	Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library. CoRR Weixun Wang, Shaopan Xiong, Gengru Chen, Wei Gao, Sheng Guo, Yancheng He, Ju Huang, Jiaheng Liu, Zhendong Li, Xiaoyang Li, Zichen Liu, Haizhou Zhao, Dakai An, Lunxi Cao, Qiyang Cao, Wanxi Deng, Feilei Du, Yiliang Gu, Jiahe Li, Xiang Li, Mingjie Liu, Yijia Luo, Zihe Liu, Yadao Wang, Pei Wang, Tianyuan Wu, Yanan Wu, Yuheng Zhao, Shuaibing Zhao, Jin Yang, Siran Yang, Yingshui Tan, Huimin Yi, Yuchi Xu, Yujin Yuan, Xingyao Zhang, Lin Qu, Wenbo Su, Wei Wang, Jiamang Wang, Bo Zheng
2025	J	`jnl`	RollArt: Scaling Agentic RL Training via Disaggregated Infrastructure. CoRR Wei Gao, Yuheng Zhao, Tianyuan Wu, Shaopan Xiong, Weixun Wang, Dakai An, Lunxi Cao, Dilxat Muhtar, Zichen Liu, Haizhou Zhao, Ju Huang, Siran Yang, Yongbin Li, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng, Wei Wang
2025	J	`jnl`	RollMux: Phase-Level Multiplexing for Disaggregated RL Post-Training. CoRR Tianyuan Wu, Lunxi Cao, Yining Wei, Wei Gao, Yuheng Zhao, Dakai An, Shaopan Xiong, Zhiqiang Lv, Ju Huang, Siran Yang, Yinghao Yu, Jiamang Wang, Lin Qu, Wei Wang
2025	J	`jnl`	RollPacker: Mitigating Long-Tail Rollouts for Fast, Synchronous RL Post-Training. CoRR Wei Gao, Yuheng Zhao, Dakai An, Tianyuan Wu, Lunxi Cao, Shaopan Xiong, Ju Huang, Weixun Wang, Siran Yang, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng, Wei Wang
2025	J	`jnl`	SP-Chain: Boosting Intrashard and Cross-Shard Security and Performance in Blockchain Sharding. IEEE Internet Things J. Mingzhe Li, You Lin, Wei Wang, Jin Zhang
2025	A	`conf`	SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs. EuroSys Ruibo Fan, Xiangrui Yu, Peijie Dong, Zeyu Li, Gu Gong, Qiang Wang, Wei Wang, Xiaowen Chu
2025	—	`conf`	Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference. USENIX ATC Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang
2025	—	`conf`	Torpor: GPU-Enabled Serverless Computing for Low-Latency, Resource-Efficient Inference. USENIX ATC Minchen Yu, Ao Wang, Dong Chen, Haoxuan Yu, Xiaonan Luo, Zhuohao Li, Wei Wang, Ruichuan Chen, Dapeng Nie, Haoran Yang, Yu Ding
2025	J	`jnl`	Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform. CoRR Yuning Gong, Yifei Liu, Yifan Zhan, Muyao Niu, Xueying Li, Yuanjun Liao, Jiaming Chen, Yuanyuan Gao, Jiaqi Chen, Minming Chen, Li Zhou, Yuning Zhang, Wei Wang, Xiaoqing Hou, Huaxi Huang, Shixiang Tang, Le Ma, Dingwen Zhang, Xue Yang, Junchi Yan, Yanchi Zhang, Yinqiang Zheng, Xiao Sun, Zhihang Zhong
2025	—	`conf`	ZipBatch: Multi-Tenant GPU Batching with Dual-Resource Regulation. SoCC Haoxuan Yu, Sheng Yao, Wei Wang
2025	J	`jnl`	λScale: Enabling Fast Scaling for Serverless Large Language Model Inference. CoRR Minchen Yu, Rui Yang, Chaobo Jia, Zhaoyuan Su, Sheng Yao, Tingfeng Lan, Yuchen Yang, Yue Cheng, Wei Wang, Ao Wang, Ruichuan Chen
2024	J	`jnl`	CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference. CoRR Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang
2024	—	`conf`	DTC-SpMM: Bridging the Gap in Accelerating General Sparse Matrix Multiplication with Tensor Cores. ASPLOS (3) Ruibo Fan, Wei Wang, Xiaowen Chu
2024	A	`conf`	Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy. EuroSys Zhifeng Jiang, Wei Wang, Ruichuan Chen
2024	A*	`conf`	Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning. INFOCOM Nan Yan, Yuqing Li, Jing Chen, Xiong Wang, Jianan Hong, Kun He, Wei Wang
2024	J	`jnl`	FALCON: Pinpointing and Mitigating Stragglers for Large-Scale Hybrid-Parallel Training. CoRR Tianyuan Wu, Wei Wang, Yinghao Yu, Siran Yang, Wenchao Wu, Qinkai Duan, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang
2024	J	`jnl`	FaaSTube: Optimizing GPU-oriented Data Transfer for Serverless Computing. CoRR Hao Wu, Junxiao Deng, Minchen Yu, Yue Yu, Yaochen Liu, Hao Fan, Song Wu, Wei Wang
2024	A*	`conf`	Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy. ICML Bo Li, Wei Wang, Peng Ye
2024	A*	`conf`	Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning. USENIX Security Symposium Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li
2024	J	`jnl`	Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning. CoRR Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li
2024	J	`jnl`	MorphDAG: A Workload-Aware Elastic DAG-Based Blockchain. IEEE Trans. Knowl. Data Eng. Shijie Zhang, Jiang Xiao, Enping Wu, Feng Cheng, Bo Li, Wei Wang, Hai Jin
2024	J	`jnl`	Power Minimization for ISAC System Using Beyond Diagonal Reconfigurable Intelligent Surface. IEEE Trans. Veh. Technol. Zhaohui Guang, Yang Liu, Qingqing Wu, Wei Wang, Qingjiang Shi
2024	J	`jnl`	Protecting Confidentiality, Privacy and Integrity in Collaborative Learning. CoRR Dong Chen, Alice Dethise, Istemi Ekin Akkus, Ivica Rimac, Klaus Satzke, Antti Koskela, Marco Canini, Wei Wang, Ruichuan Chen
2024	C	`conf`	SAFE: Intelligent Online Scheduling for Collaborative DNN Inference in Vehicular Network. CSCWD Ruiting Zhou, Ziyi Han, Yifan Zeng, Zhi Zhou, Libing Wu, Wei Wang
2024	J	`jnl`	SP-Chain: Boosting Intra-Shard and Cross-Shard Security and Performance in Blockchain Sharding. CoRR Mingzhe Li, You Lin, Wei Wang, Jin Zhang
2024	J	`jnl`	SwiftDiffusion: Efficient Diffusion Model Serving with Add-on Modules. CoRR Suyi Li, Lingyun Yang, Xiaoxiao Jiang, Hanfeng Lu, Zhipeng Di, Weiyi Lu, Jiawei Chen, Kan Liu, Yinghao Yu, Tao Lan, Guodong Yang, Lin Qu, Liping Zhang, Wei Wang
2024	J	`jnl`	Synchronize Only the Immature Parameters: Communication-Efficient Federated Learning By Freezing Parameters Adaptively. IEEE Trans. Parallel Distributed Syst. Chen Chen, Hong Xu, Wei Wang, Baochun Li, Bo Li, Li Chen, Gong Zhang
2024	A*	`conf`	The Limits of Differential Privacy in Online Learning. NeurIPS Bo Li, Wei Wang, Peng Ye
2024	J	`jnl`	Towards Efficient and Deposit-Free Blockchain-Based Spatial Crowdsourcing. ACM Trans. Sens. Networks Mingzhe Li, Wei Wang, Jin Zhang
2023	J	`jnl`	Accelerating Distributed Learning in Non-Dedicated Environments. IEEE Trans. Cloud Comput. Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
2023	—	`conf`	Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent. USENIX ATC Qizhen Weng, Lingyun Yang, Yinghao Yu, Wei Wang, Xiaochuan Tang, Guodong Yang, Liping Zhang
2023	A*	`conf`	CoChain: High Concurrency Blockchain Sharding via Consensus on Consensus. INFOCOM Mingzhe Li, You Lin, Jin Zhang, Wei Wang
2023	A	`conf`	DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining. ICDCS Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu
2023	J	`jnl`	Decoupling the All-Reduce Primitive for Accelerating Distributed Deep Learning. CoRR Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu
2023	J	`jnl`	FaaSwap: SLO-Aware, GPU-Efficient Serverless Inference via Model Swapping. CoRR Minchen Yu, Ao Wang, Dong Chen, Haoxuan Yu, Xiaonan Luo, Zhuohao Li, Wei Wang, Ruichuan Chen, Dapeng Nie, Haoran Yang
2023	A	`conf`	Fast Sparse GPU Kernels for Accelerated Training of Graph Neural Networks. IPDPS Ruibo Fan, Wei Wang, Xiaowen Chu
2023	Misc	`conf`	Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing. NSDI Minchen Yu, Tingjia Cao, Wei Wang, Ruichuan Chen
2023	J	`jnl`	GIFT: Toward Accurate and Efficient Federated Learning With Gradient-Instructed Frequency Tuning. IEEE J. Sel. Areas Commun. Chen Chen, Hong Xu, Wei Wang, Baochun Li, Bo Li, Li Chen, Gong Zhang
2023	—	`conf`	Golgi: Performance-Aware, Resource-Efficient Function Scheduling for Serverless Computing. SoCC Suyi Li, Wei Wang, Jun Yang, Guangzhen Chen, Daohe Lu
2023	J	`jnl`	LB-Chain: Load-Balanced and Low-Latency Blockchain Sharding via Account Migration. IEEE Trans. Parallel Distributed Syst. Mingzhe Li, Wei Wang, Jin Zhang
2023	J	`jnl`	LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves. CoRR Jian Gao, Xin Cao, Xin Yao, Gong Zhang, Wei Wang
2023	J	`jnl`	LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves. Proc. VLDB Endow. Jian Gao, Xin Cao, Xin Yao, Gong Zhang, Wei Wang
2023	J	`jnl`	Monocular 3-D Object Detection Based on Depth-Guided Local Convolution for Smart Payment in D2D Systems. IEEE Internet Things J. Jun Li, Wei Song, Yongbin Gao, Huixing Wang, Yier Yan, Bo Huang, Jun Zhang, Wei Wang
2023	J	`jnl`	Scalable K-FAC Training for Deep Neural Networks With Distributed Preconditioning. IEEE Trans. Cloud Comput. Lin Zhang, Shaohuai Shi, Wei Wang, Bo Li
2023	J	`jnl`	Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies. IEEE Trans. Big Data Zhifeng Jiang, Wei Wang, Bo Li, Qiang Yang
2022	B	`conf`	An LLVM-based open-source compiler for NVIDIA GPUs. PPoPP Da Yan, Wei Wang, Xiaowen Chu
2022	J	`jnl`	Editorial: Advances in Mobile, Edge and Cloud Computing. Mob. Networks Appl. Xiaowen Chu, Hongbo Jiang, Bo Li, Dan Wang, Wei Wang
2022	J	`jnl`	Enabling Cost-Effective, SLO-Aware Machine Learning Inference Serving on Public Cloud. IEEE Trans. Cloud Comput. Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan
2022	J	`jnl`	Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning. CoRR Peng Ye, Zhifeng Jiang, Wei Wang, Bo Li, Baochun Li
2022	J	`jnl`	Incentivizing WiFi-Based Multilateration Location Verification. IEEE Internet Things J. Mingzhe Li, Wei Wang, Jin Zhang, Qian Zhang
2022	A	`conf`	Jenga: Orchestrating Smart Contracts in Sharding-Based Blockchain for Efficient Processing. ICDCS Mingzhe Li, You Li, Jin Zhang, Wei Wang
2022	Misc	`conf`	MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters. NSDI Qizhen Weng, Wencong Xiao, Yinghao Yu, Wei Wang, Cheng Wang, Jian He, Yong Li, Liping Zhang, Wei Lin, Yu Ding
2022	—	`conf`	Owl: performance-aware scheduling for resource-efficient function-as-a-service cloud. SoCC Huangshi Tian, Suyi Li, Ao Wang, Wei Wang, Tianlong Wu, Haoran Yang
2022	J	`jnl`	Pisces: Efficient Federated Learning via Guided Asynchronous Training. CoRR Zhifeng Jiang, Wei Wang, Baochun Li, Bo Li
2022	—	`conf`	Pisces: efficient federated learning via guided asynchronous training. SoCC Zhifeng Jiang, Wei Wang, Baochun Li, Bo Li
2022	J	`jnl`	Scalable K-FAC Training for Deep Neural Networks with Distributed Preconditioning. CoRR Lin Zhang, Shaohuai Shi, Wei Wang, Bo Li
2022	J	`jnl`	Taming Client Dropout for Distributed Differential Privacy in Federated Learning. CoRR Zhifeng Jiang, Wei Wang, Ruichuan Chen
2022	J	`jnl`	Towards Dependency-Aware Cache Management for Data Analytics Applications. IEEE Trans. Cloud Comput. Yinghao Yu, Chengliang Zhang, Wei Wang, Jun Zhang, Khaled Ben Letaief
2022	—	`conf`	Workload consolidation in alibaba clusters: the good, the bad, and the ugly. SoCC Yongkang Zhang, Yinghao Yu, Wei Wang, Qiukai Chen, Jie Wu, Zuowei Zhang, Jiang Zhong, Tianchen Ding, Qizhen Weng, Lingyun Yang, Cheng Wang, Jian He, Guodong Yang, Liping Zhang
2021	J	`jnl`	A Quantitative Survey of Communication Optimizations in Distributed Deep Learning. IEEE Netw. Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li
2021	J	`jnl`	Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX. CoRR Chengliang Zhang, Junzhe Xia, Baichen Yang, Huancheng Puyang, Wei Wang, Ruichuan Chen, Istemi Ekin Akkus, Paarijaat Aditya, Feng Yan
2021	—	`conf`	Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning. SoCC Chengliang Zhang, Junzhe Xia, Baichen Yang, Huancheng Puyang, Wei Wang, Ruichuan Chen, Istemi Ekin Akkus, Paarijaat Aditya, Feng Yan
2021	A	`conf`	Communication-Efficient Federated Learning with Adaptive Parameter Freezing. ICDCS Chen Chen, Hong Xu, Wei Wang, Baochun Li, Bo Li, Li Chen, Gong Zhang
2021	—	`conf`	CrystalPerf: Learning to Characterize the Performance of Dataflow Computation through Code Analysis. USENIX ATC Huangshi Tian, Minchen Yu, Wei Wang
2021	J	`jnl`	FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning. CoRR Zhifeng Jiang, Wei Wang, Yang Liu
2021	—	`conf`	George: Learning to Place Long-Lived Containers in Large Clusters with Operation Constraints. SoCC Suyi Li, Luping Wang, Wei Wang, Yinghao Yu, Bo Li
2021	A	`conf`	Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning. ICDCS Minchen Yu, Zhifeng Jiang, Hok Chun Ng, Wei Wang, Ruichuan Chen, Bo Li
2021	J	`jnl`	Guest Editorial: Interplay between Machine Learning and Networking Systems. IEEE Netw. Xiaowen Chu, Xiaoming Fu, Baochun Li, Wei Wang, Hui Zang, Albert Y. Zomaya
2021	—	`conf`	Morphling: Fast, Near-Optimal Auto-Configuration for Cloud-Native Model Serving. SoCC Luping Wang, Lingyun Yang, Yinghao Yu, Wei Wang, Bo Li, Xianchao Sun, Jian He, Liping Zhang
2021	J	`jnl`	Restructuring Serverless Computing with Data-Centric Function Orchestration. CoRR Minchen Yu, Tingjia Cao, Wei Wang, Ruichuan Chen
2021	B	`conf`	Simplifying low-level GPU programming with GAS. PPoPP Da Yan, Wei Wang, Xiaowen Chu
2021	J	`jnl`	System Optimization in Synchronous Federated Training: A Survey. CoRR Zhifeng Jiang, Wei Wang
2021	J	`jnl`	Toward Privacy-Preserving Task Assignment for Fully Distributed Spatial Crowdsourcing. IEEE Internet Things J. Mingzhe Li, Jingrou Wu, Wei Wang, Jin Zhang
2020	J	`jnl`	Achieving Load-Balanced, Redundancy-Free Cluster Caching with Selective Partition. IEEE Trans. Parallel Distributed Syst. Yinghao Yu, Wei Wang, Renfei Huang, Jun Zhang, Khaled Ben Letaief
2020	—	`conf`	BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning. USENIX ATC Chengliang Zhang, Suyi Li, Junzhe Xia, Wei Wang, Feng Yan, Yang Liu
2020	J	`jnl`	Communication-Efficient Distributed Deep Learning: A Comprehensive Survey. CoRR Zhenheng Tang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li
2020	J	`jnl`	Communication-Efficient Distributed Deep Learning: Survey, Evaluation, and Challenges. CoRR Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li
2020	A	`conf`	Demystifying Tensor Cores to Optimize Half-Precision Matrix Multiply. IPDPS Da Yan, Wei Wang, Xiaowen Chu
2020	J	`jnl`	Learning to Detect Malicious Clients for Robust Federated Learning. CoRR Suyi Li, Yong Cheng, Wei Wang, Yang Liu, Tianjian Chen
2020	A	`conf`	Metis: learning to schedule long-running applications in shared container clusters at scale. SC Luping Wang, Qizhen Weng, Wei Wang, Chen Chen, Bo Li
2020	A	`conf`	Not All Explorations Are Equal: Harnessing Heterogeneous Profiling Cost for Efficient MLaaS Training. IPDPS Jun Yi, Chengliang Zhang, Wei Wang, Cheng Li, Feng Yan
2020	B	`conf`	Optimizing batched Winograd convolution on GPUs. PPoPP Da Yan, Wei Wang, Xiaowen Chu
2020	C	`ed.`	Quality, Reliability, Security and Robustness in Heterogeneous Systems - 15th EAI International Conference, QShine 2019, Shenzhen, China, November 22-23, 2019, Proceedings QShine Xiaowen Chu, Hongbo Jiang, Bo Li, Dan Wang, Wei Wang
2020	A*	`conf`	RepBun: Load-Balanced, Shuffle-Free Cluster Caching for Structured Data. INFOCOM Minchen Yu, Yinghao Yu, Yunchuan Zheng, Baichen Yang, Wei Wang
2020	—	`conf`	Semi-dynamic load balancing: efficient distributed learning in non-dedicated environments. SoCC Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
2019	J	`jnl`	Abnormal Client Behavior Detection in Federated Learning. CoRR Suyi Li, Yong Cheng, Yang Liu, Wei Wang, Tianjian Chen
2019	A	`conf`	CMFL: Mitigating Communication Overhead for Federated Learning. ICDCS Luping Wang, Wei Wang, Bo Li
2019	—	`conf`	Characterizing and Synthesizing Task Dependencies of Data-Parallel Jobs in Alibaba Cloud. SoCC Huangshi Tian, Yunchuan Zheng, Wei Wang
2019	A	`conf`	LACS: Load-Aware Cache Sharing with Isolation Guarantee. ICDCS Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief
2019	—	`conf`	MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving. USENIX ATC Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan
2019	A*	`conf`	Round-Robin Synchronization: Mitigating Communication Bottlenecks in Parameter Servers. INFOCOM Chen Chen, Wei Wang, Bo Li
2019	—	`conf`	Towards Framework-Independent, Non-Intrusive Performance Characterization for Dataflow Computation. APSys Huangshi Tian, Qizhen Weng, Wei Wang
2018	—	`conf`	Continuum: A Platform for Cost-Aware, Low-Latency Continual Learning. SoCC Huangshi Tian, Minchen Yu, Wei Wang
2018	A	`conf`	Fair Coflow Scheduling without Prior Knowledge. ICDCS Luping Wang, Wei Wang
2018	—	`conf`	Fast Distributed Deep Learning via Worker-adaptive Batch Sizing. SoCC Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
2018	J	`jnl`	Fast Distributed Deep Learning via Worker-adaptive Batch Sizing. CoRR Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
2018	A	`conf`	OpuS: Fair and Efficient Cache Sharing for In-Memory Data Analytics. ICDCS Yinghao Yu, Wei Wang, Jun Zhang, Qizhen Weng, Khaled Ben Letaief
2018	A*	`conf`	Performance-Aware Fair Scheduling: Exploiting Demand Elasticity of Data Analytics Jobs. INFOCOM Chen Chen, Wei Wang, Bo Li
2018	A	`conf`	SP-cache: load-balanced, redundancy-free cluster caching with selective partition. SC Yinghao Yu, Renfei Huang, Wei Wang, Jun Zhang, Khaled Ben Letaief
2018	A	`conf`	Stay Fresh: Speculative Synchronization for Fast Distributed Machine Learning. ICDCS Chengliang Zhang, Huangshi Tian, Wei Wang, Feng Yan
2018	B	`conf`	Unraveling the RTT-fairness Problem for BBR: A Queueing Model. GLOBECOM Yuechen Tao, Jingjie Jiang, Shiyao Ma, Luping Wang, Wei Wang, Bo Li
2018	A*	`conf`	Utopia: Near-optimal Coflow Scheduling with Isolation Guarantee. INFOCOM Luping Wang, Wei Wang, Bo Li
2017	A*	`conf`	Cluster fair queueing: Speeding up data-parallel jobs with delay guarantees. INFOCOM Chen Chen, Wei Wang, Shengkai Zhang, Bo Li
2017	A*	`conf`	Coflex: Navigating the fairness-efficiency tradeoff for coflow scheduling. INFOCOM Wei Wang, Shiyao Ma, Bo Li, Baochun Li
2017	B	`conf`	LERC: Coordinated Cache Management for Data-Parallel Systems. GLOBECOM Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief
2017	J	`jnl`	LERC: Coordinated Cache Management for Data-Parallel Systems. CoRR Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief
2017	J	`jnl`	LRC: Dependency-Aware Cache Management for Data Analytics Clusters. CoRR Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief
2017	A*	`conf`	LRC: Dependency-aware cache management for data analytics clusters. INFOCOM Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief
2017	A	`conf`	Speculative Slot Reservation: Enforcing Service Isolation for Dependent Data-Parallel Computations. ICDCS Chen Chen, Wei Wang, Bo Li
2017	B	`conf`	Towards Online Checkpointing Mechanism for Cloud Transient Servers. GLOBECOM Luping Wang, Wei Wang, Bo Li
2017	J	`jnl`	Towards RTT Fairness of Congestion-Based Congestion Control. CoRR Shiyao Ma, Jingjie Jiang, Wei Wang, Bo Li
2016	B	`conf`	Friends or foes: Revisiting strategy-proofness in cloud network sharing. ICNP Wei Wang, A-Long Jin
2016	A	`conf`	Multi-resource fair sharing for datacenter jobs with placement constraints. SC Wei Wang, Baochun Li, Ben Liang, Jun Li
2016	A*	`conf`	Towards Multi-Resource Fair Allocation with Placement Constraints. SIGMETRICS Wei Wang, Baochun Li, Ben Liang, Jun Li
2015	J	`jnl`	Dynamic Cloud Instance Acquisition via IaaS Cloud Brokerage. IEEE Trans. Parallel Distributed Syst. Wei Wang, Di Niu, Ben Liang, Baochun Li
2015	J	`jnl`	Multi-Resource Fair Allocation in Heterogeneous Cloud Computing Systems. IEEE Trans. Parallel Distributed Syst. Wei Wang, Ben Liang, Baochun Li
2015	J	`jnl`	Optimal Online Multi-Instance Acquisition in IaaS Clouds. IEEE Trans. Parallel Distributed Syst. Wei Wang, Ben Liang, Baochun Li
2015	—	`conf`	TiSA: Time-dependent social network advertising. ICC Wei Wang, Linlin Yang, Qing Liao, Xiang Zhu, Qian Zhang
2015	J	`jnl`	Toward long-term quality of protection in mobile networks: a context-aware perspective. IEEE Wirel. Commun. Wei Wang, Qian Zhang
2014	J	`jnl`	Designing Truthful Spectrum Double Auctions with Local Markets. IEEE Trans. Mob. Comput. Wei Wang, Ben Liang, Baochun Li
2014	A*	`conf`	Dominant resource fairness in cloud computing systems with heterogeneous servers. INFOCOM Wei Wang, Baochun Li, Ben Liang
2014	A*	`conf`	Low complexity multi-resource fair queueing with bounded delay. INFOCOM Wei Wang, Ben Liang, Baochun Li
2014	A	`conf`	On the Fairness-Efficiency Tradeoff for Packet Processing with Multiple Resources. CoNEXT Wei Wang, Chen Feng, Baochun Li, Ben Liang
2013	J	`jnl`	Dominant Resource Fairness in Cloud Computing Systems with Heterogeneous Servers. CoRR Wei Wang, Baochun Li, Ben Liang
2013	A	`conf`	Dynamic Cloud Resource Reservation via Cloud Brokerage. ICDCS Wei Wang, Di Niu, Baochun Li, Ben Liang
2013	B	`conf`	Multi-Resource Round Robin: A low complexity packet scheduler with Dominant Resource Fairness. ICNP Wei Wang, Baochun Li, Ben Liang
2013	B	`conf`	Multi-resource generalized processor sharing for packet processing. IWQoS Wei Wang, Ben Liang, Baochun Li
2013	—	`conf`	On Fairness-Efficiency Tradeoffs for Multi-resource Packet Processing. ICDCS Workshops Wei Wang, Ben Liang, Baochun Li
2013	B	`conf`	Revenue maximization with dynamic auctions in IaaS cloud markets. IWQoS Wei Wang, Ben Liang, Baochun Li
2013	J	`jnl`	To Reserve or Not to Reserve: Optimal Online Multi-Instance Acquisition in IaaS Clouds CoRR Wei Wang, Baochun Li, Ben Liang
2013	—	`conf`	To Reserve or Not to Reserve: Optimal Online Multi-Instance Acquisition in IaaS Clouds. ICAC Wei Wang, Baochun Li, Ben Liang
2012	A	`conf`	Towards Optimal Capacity Segmentation with Hybrid Cloud Pricing. ICDCS Wei Wang, Baochun Li, Ben Liang
2011	B	`conf`	District: Embracing local markets in truthful spectrum double auctions. SECON Wei Wang, Baochun Li, Ben Liang
2009	B	`conf`	A Noncooperative Spectrum Sensing Game with Maximum Network Throughput. GLOBECOM Wei Wang, Chen He
2009	B	`conf`	Sequential Greedy Localization in Wireless Sensor Networks With Inaccurate Anchor Positions. GLOBECOM Qingjiang Shi, Chen He, Hongyang Chen, Ling-ge Jiang, Wei Wang