A mechanism for scheduling multi robot intelligent warehouse system face with dynamic demand. - Zhi Li 019; Ali Vatankhah Barenji; Jiazhi Jiang; Ray Y. Zhong; Gangyan Xu (J. Intell. Manuf., 2020)

Characterizing and Optimizing Transformer Inference on ARM Many-core Processor. - Jiazhi Jiang; Jiangsu Du; Dan Huang 001; Dongsheng Li; Jiang Zheng; Yutong Lu (ICPP, 2022)

Handling heavy-tailed input of transformer inference on GPUs. - Jiangsu Du; Jiazhi Jiang; Yang You 001; Dan Huang 001; Yutong Lu (ICS, 2022)

Optimizing small channel 3D convolution on GPU with tensor core. - Jiazhi Jiang; Dan Huang 001; Jiangsu Du; Yutong Lu; Xiangke Liao (Parallel Comput., 2022)

Accelerating Inference of 3D-CNN on ARMMany-core CPU via Hierarchical Model Partition. - Jiazhi Jiang; Zijiang Huang; Dan Huang 001; Jiangsu Du; Yutong Lu (DATE, 2023)

MixRec: Orchestrating Concurrent Recommendation Model Training on CPU-GPU platform. - Jiazhi Jiang; Rui Tian; Jiangsu Du; Dan Huang 001; Yutong Lu (ICCD, 2023)

Full-Stack Optimizing Transformer Inference on ARM Many-Core CPU. - Jiazhi Jiang; Jiangsu Du; Dan Huang 001; Zhiguang Chen 001; Yutong Lu; Xiangke Liao (IEEE Trans. Parallel Distributed Syst., 2023)

Optimizing massively parallel sparse matrix computing on ARM many-core processor. - Jiang Zheng; Jiazhi Jiang; Jiangsu Du; Dan Huang 001; Yutong Lu (Parallel Comput., 2023)

Hierarchical Model Parallelism for Optimizing Inference on Many-core Processor via Decoupled 3D-CNN Structure. - Jiazhi Jiang; Zijiang Huang; Dan Huang 001; Jiangsu Du; Lin Chen; Ziguang Chen; Yutong Lu (ACM Trans. Archit. Code Optim., 2023)

Improving Computation and Memory Efficiency for Real-world Transformer Inference on GPUs. - Jiangsu Du; Jiazhi Jiang; Jiang Zheng; Hongbin Zhang 006; Dan Huang 001; Yutong Lu (ACM Trans. Archit. Code Optim., 2023)

Communication-Efficient Model Parallelism for Distributed In-Situ Transformer Inference. - Yuanxin Wei; Shengyuan Ye; Jiazhi Jiang; Xu Chen 004; Dan Huang 001; Jiangsu Du; Yutong Lu (DATE, 2024)

Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters. - Jiazhi Jiang; Hongbin Zhang 006; Deyin Liu; Jiangsu Du; Xiaojiao Yao; Jinhui Wei; Pin Chen; Dan Huang 001; Yutong Lu (Euro-Par (1), 2024)

Liger: Interleaving Intra- and Inter-Operator Parallelism for Distributed Large Model Inference. - Jiangsu Du; Jinhui Wei; Jiazhi Jiang; Shenggan Cheng; Dan Huang 001; Zhiguang Chen 001; Yutong Lu (PPoPP, 2024)

APTMoE: Affinity-Aware Pipeline Tuning for MoE Models on Bandwidth-Constrained GPU Nodes. - Yuanxin Wei; Jiangsu Du; Jiazhi Jiang; Xiao Shi; Xianwei Zhang 001; Dan Huang 001; Nong Xiao 001; Yutong Lu (SC, 2024)

HTDcr: a job execution framework for high-throughput computing on supercomputers. - Jiazhi Jiang; Dan Huang 001; Hu Chen; Yutong Lu; Xiangke Liao (Sci. China Inf. Sci., 2024)

SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems. - Jiangsu Du; Dong-Sheng Li; Yingpeng Wen; Jiazhi Jiang; Dan Huang 001; Xiangke Liao; Yutong Lu (J. Comput. Sci. Technol., 2024)

Sophisticated Orchestrating Concurrent DLRM Training on CPU/GPU Platform. - Rui Tian; Jiazhi Jiang; Jiangsu Du; Dan Huang 001; Yutong Lu (IEEE Trans. Parallel Distributed Syst., 2024)

Oceanus: Enable SLO-Aware Vertical Autoscaling for Cloud-Native Streaming Services in Tencent. - Zihao Chen; Jiazhi Jiang; Jiangang Liu; Chao Zhang; Yuqi Diao; Yang Li 106; Hanmei Luo; Peng Chen (SIGMOD Conference Companion, 2025)

Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism. - Jinhui Wei; Ye Huang; Yuhui Zhou; Jiazhi Jiang; Jiangsu Du (CoRR, 2025)