On the QoS of Offline Download in Retrieving Peer-Side File Resource. - Yuanjian Xing; Zhi Yang 001; Chi Chen; Jilong Xue; Yafei Dai (ICPP, 2011)

VoteTrust: Leveraging friend invitation graph to defend against social network Sybils. - Jilong Xue; Zhi Yang 001; Xiaoyong Yang; Xiao Wang 018; Lijiang Chen; Yafei Dai (INFOCOM, 2013)

Unfolding dynamics in a social network: co-evolution oflink formation and user interaction. - Zhi Yang 001; Jilong Xue; Han Xiao Zhao; Xiao Wang 018; Ben Y. Zhao; Yafei Dai (WWW (Companion Volume), 2013)

Seraph: an efficient, low-cost system for concurrent graph processing. - Jilong Xue; Zhi Yang 001; Zhi Qu; Shian Hou; Yafei Dai (HPDC, 2014)

A Topology Construct and Control Model with Small-World and Scale-Free Concepts for Heterogeneous Sensor Networks. - Lifang Liu 001; Xiaogang Qi; Jilong Xue; Mande Xie (Int. J. Distributed Sens. Networks, 2014)

When computing meets heterogeneous cluster: Workload assignment in graph computation. - Jilong Xue; Zhi Yang 001; Shian Hou; Yafei Dai (IEEE BigData, 2015)

GraM: scaling graph computation to the trillions. - Ming Wu 007; Fan Yang 024; Jilong Xue; Wencong Xiao; Youshan Miao; Lan Wei; Haoxiang Lin; Yafei Dai; Lidong Zhou (SoCC, 2015)

Process-driven Analysis of Dynamics in Online Social Interactions. - Zhi Yang 001; Jilong Xue; Christo Wilson; Ben Y. Zhao; Yafei Dai (COSN, 2015)

Uncovering User Interaction Dynamics in Online Social Networks. - Zhi Yang 001; Jilong Xue; Christo Wilson; Ben Y. Zhao; Yafei Dai (ICWSM, 2015)

Understanding the performance of offline download in real p2p networks. - Zhi Yang 001; Yuanjian Xing; Chi Chen; Jilong Xue; Yafei Dai (Peer-to-Peer Netw. Appl., 2015)

Efficient Distributed Machine Learning with Trigger Driven Parallel Training. - Shenglong Li; Jilong Xue; Zhi Yang 001; Yafei Dai (GLOBECOM, 2016)

VoteTrust: Leveraging Friend Invitation Graph to Defend against Social Network Sybils. - Zhi Yang 001; Jilong Xue; Xiaoyong Yang; Xiao Wang 018; Yafei Dai (IEEE Trans. Dependable Secur. Comput., 2016)

Tux2: Distributed Graph Computation for Machine Learning. - Wencong Xiao; Jilong Xue; Youshan Miao; Zhen Li; Cheng Chen; Ming Wu 007; Wei Li 022; Lidong Zhou (NSDI, 2017)

Garaph: Efficient GPU-accelerated Graph Processing on a Single Machine with Balanced Replication. - Lingxiao Ma; Zhi Yang 001; Han Chen; Jilong Xue; Yafei Dai (USENIX ATC, 2017)

Processing Concurrent Graph Analytics with Decoupled Computation Model. - Jilong Xue; Zhi Yang 001; Shian Hou; Yafei Dai (IEEE Trans. Computers, 2017)

RPC Considered Harmful: Fast Distributed Deep Learning on RDMA. - Jilong Xue; Youshan Miao; Cheng Chen; Ming Wu 007; Lintao Zhang; Lidong Zhou (CoRR, 2018)

Towards Efficient Large-Scale Graph Neural Network Computing. - Lingxiao Ma; Zhi Yang 001; Youshan Miao; Jilong Xue; Ming Wu 007; Lidong Zhou; Yafei Dai (CoRR, 2018)

Fast Distributed Deep Learning over RDMA. - Jilong Xue; Youshan Miao; Cheng Chen; Ming Wu 007; Lintao Zhang; Lidong Zhou (EuroSys, 2019)

NeuGraph: Parallel Deep Neural Network Computation on Large Graphs. - Lingxiao Ma; Zhi Yang 001; Youshan Miao; Jilong Xue; Ming Wu 007; Lidong Zhou; Yafei Dai (USENIX ATC, 2019)

Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks. - Lingxiao Ma; Zhiqiang Xie; Zhi Yang 001; Jilong Xue; Youshan Miao; Wei Cui; Wenxiang Hu; Fan Yang 024; Lintao Zhang; Lidong Zhou (OSDI, 2020)

Distributed Graph Computation Meets Machine Learning. - Wencong Xiao; Jilong Xue; Youshan Miao; Zhen Li; Cheng Chen; Ming Wu 007; Wei Li 022; Lidong Zhou (IEEE Trans. Parallel Distributed Syst., 2020)

Dense-to-Sparse Gate for Mixture-of-Experts. - Xiaonan Nie; Shijie Cao; Xupeng Miao; Lingxiao Ma; Jilong Xue; Youshan Miao; Zichao Yang; Zhi Yang 001; Bin Cui 001 (CoRR, 2021)

ROLLER: Fast and Efficient Tensor Compilation for Deep Learning. - Hongyu Zhu 003; Ruofan Wu; Yijia Diao; Shanbin Ke; Haoyu Li; Chen Zhang 001; Jilong Xue; Lingxiao Ma; Yuqing Xia; Wei Cui; Fan Yang 024; Mao Yang 004; et al. (OSDI, 2022)

Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning. - Bin Lin; Ningxin Zheng; Lei Wang 222; Shijie Cao; Lingxiao Ma; Quanlu Zhang; Yi Zhu; Ting Cao; Jilong Xue; Yuqing Yang 001; Fan Yang 024 (MLSys, 2023)

Welder: Scheduling Deep Learning Memory Access via Tile-graph. - Yining Shi 001; Zhi Yang 001; Jilong Xue; Lingxiao Ma; Yuqing Xia; Ziming Miao; Yuxiao Guo 001; Fan Yang 024; Lidong Zhou (OSDI, 2023)

Optimizing Dynamic Neural Networks with Brainstorm. - Weihao Cui; Zhenhua Han; Lingji Ouyang; Yichuan Wang 002; Ningxin Zheng; Lingxiao Ma; Yuqing Yang 001; Fan Yang 024; Jilong Xue; Lili Qiu; Lidong Zhou; Quan Chen 002; et al. (OSDI, 2023)

Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning. - Chen Zhang 001; Lingxiao Ma; Jilong Xue; Yining Shi 001; Ziming Miao; Fan Yang 024; Jidong Zhai; Zhi Yang 001; Mao Yang 004 (OSDI, 2023)

Retentive Network: A Successor to Transformer for Large Language Models. - Yutao Sun; Li Dong 004; Shaohan Huang; Shuming Ma; Yuqing Xia; Jilong Xue; Jianyong Wang 001; Furu Wei (CoRR, 2023)

FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement. - Xiaonan Nie; Xupeng Miao; Zilong Wang; Zichao Yang; Jilong Xue; Lingxiao Ma; Gang Cao; Bin Cui 001 (Proc. ACM Manag. Data, 2023)

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation. - Lei Wang 222; Lingxiao Ma; Shijie Cao; Quanlu Zhang; Jilong Xue; Yining Shi 001; Ningxin Zheng; Ziming Miao; Fan Yang 024; Ting Cao; Yuqing Yang 001; Mao Yang 004 (OSDI, 2024)

Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor with T10. - Yiqi Liu; Yuqi Xue; Yu Cheng; Lingxiao Ma; Ziming Miao; Jilong Xue; Jian Huang 006 (SOSP, 2024)

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits. - Shuming Ma; Hongyu Wang 009; Lingxiao Ma; Lei Wang 222; Wenhui Wang 003; Shaohan Huang; Li Dong 004; Ruiping Wang; Jilong Xue; Furu Wei (CoRR, 2024)

Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor. - Yiqi Liu; Yuqi Xue; Yu Cheng; Lingxiao Ma; Ziming Miao; Jilong Xue; Jian Huang 006 (CoRR, 2024)

LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration. - Zhiwen Mo; Lei Wang 222; Jianyu Wei; Zhichen Zeng 002; Shijie Cao; Lingxiao Ma; Naifeng Jing; Ting Cao; Jilong Xue; Fan Yang 024; Mao Yang 004 (CoRR, 2024)

GRIN: GRadient-INformed MoE. - Liyuan Liu; Young Jin Kim 001; Shuohang Wang; Chen Liang 006; Yelong Shen; Hao Cheng 002; Xiaodong Liu 003; Masahiro Tanaka; Xiaoxia Wu; Wenxiang Hu; Vishrav Chaudhary; Zeqi Lin; et al. (CoRR, 2024)

FPRev: Revealing the Order of Floating-Point Summation by Numerical Testing. - Peichen Xie; Yanjie Gao; Jilong Xue (CoRR, 2024)

MoE-CAP: Cost-Accuracy-Performance Benchmarking for Mixture-of-Experts Systems. - Yao Fu; Yinsicheng Jiang; Yeqi Huang; Ping Nie; Zhan Lu; Leyang Xue; Congjie He; Man-Kit Sit; Jilong Xue; Li Dong; Ziming Miao; Kai Zou; et al. (CoRR, 2024)

NeuStream: Bridging Deep Learning Serving and Stream Processing. - Haochen Yuan; Yuanqing Wang; Wenhao Xie; Yu Cheng; Ziming Miao; Lingxiao Ma; Jilong Xue; Zhi Yang 001 (EuroSys, 2025)

LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference. - Zhiwen Mo; Lei Wang 222; Jianyu Wei; Zhichen Zeng 002; Shijie Cao; Lingxiao Ma; Naifeng Jing; Ting Cao; Jilong Xue; Fan Yang 024; Mao Yang 004 (ISCA, 2025)

PipeThreader: Software-Defined Pipelining for Efficient DNN Execution. - Yu Cheng; Lei Wang 222; Yining Shi 001; Yuqing Xia; Lingxiao Ma; Jilong Xue; Yang Wang 053; Zhiwen Mo; Feiyang Chen; Fan Yang 024; Mao Yang 004; Zhi Yang 001 (OSDI, 2025)

WaferLLM: Large Language Model Inference at Wafer Scale. - Congjie He; Yeqi Huang; Pei Mu 003; Ziming Miao; Jilong Xue; Lingxiao Ma; Fan Yang 024; Luo Mai (OSDI, 2025)

Revealing Floating-Point Accumulation Orders in Software/Hardware Implementations. - Peichen Xie; Yanjie Gao; Yang Wang; Jilong Xue (USENIX ATC, 2025)

WaferLLM: A Wafer-Scale LLM Inference System. - Congjie He; Yeqi Huang; Pei Mu 003; Ziming Miao; Jilong Xue; Lingxiao Ma; Fan Yang 024; Luo Mai (CoRR, 2025)

AttentionEngine: A Versatile Framework for Efficient Attention Mechanisms on Diverse Hardware Platforms. - Feiyang Chen; Yu Cheng; Lei Wang 222; Yuqing Xia; Ziming Miao; Lingxiao Ma; Fan Yang 024; Jilong Xue; Zhi Yang 001; Mao Yang 004; Haibo Chen (CoRR, 2025)

TileLang: A Composable Tiled Programming Model for AI Systems. - Lei Wang 222; Yu Cheng; Yining Shi 001; Zhengju Tang; Zhiwen Mo; Wenhao Xie; Lingxiao Ma; Yuqing Xia; Jilong Xue; Fan Yang 024; Zhi Yang 001 (CoRR, 2025)

MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems. - Yinsicheng Jiang; Yao Fu; Yeqi Huang; Ping Nie; Zhan Lu; Leyang Xue; Congjie He; Man-Kit Sit; Jilong Xue; Li Dong; Ziming Miao; Dayou Du; et al. (CoRR, 2025)

Elk: Exploring the Efficiency of Inter-core Connected AI Chips with Deep Learning Compiler Techniques. - Yiqi Liu; Yuqi Xue; Noelle Crawford; Jilong Xue; Jian Huang (CoRR, 2025)