P-SOBI: A Parallel Implementation for Second Order Blind Identification Algorithm. - Hongbo Li 007; Jiangsu Du; Yunfei Du 001; Zhiguang Chen 001; Nong Xiao 001 (HPCC/SmartCity/DSS, 2019)

Understanding the Resource Demand Differences of Deep Neural Network Training. - Jiangsu Du; Xin Zhu 003; Nan Hu; Yunfei Du 001 (ICA3PP (2), 2019)

A Distributed In-Situ CNN Inference System for IoT Applications. - Jiangsu Du; Minghua Shen; Yunfei Du 001 (ICCD, 2020)

Model Parallelism Optimization for Distributed Inference Via Decoupled CNN Structure. - Jiangsu Du; Xin Zhu 003; Minghua Shen; Yunfei Du 001; Yutong Lu; Nong Xiao 001; Xiangke Liao (IEEE Trans. Parallel Distributed Syst., 2021)

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)

EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models. - Jiangsu Du; Ziming Liu; Jiarui Fang; Shenggui Li; Yongbin Li; Yutong Lu; Yang You 001 (CoRR, 2022)

Enhancing Distributed In-Situ CNN Inference in the Internet of Things. - Jiangsu Du; Yunfei Du 001; Dan Huang 001; Yutong Lu; Xiangke Liao (IEEE Internet Things J., 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)

Enhancing Multi-physics Coupling on ARM Many-Core Cluster. - Wencheng Shi; Nan Hu; Jiangsu Du; Dan Huang 001; Yutong Lu (APPT, 2023)

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 001; Jiangsu Du; Dan Huang 001; Yutong Lu (ICCD, 2023)

ATP: Adaptive Tensor Parallelism for Foundation Models. - Shenggan Cheng; Ziming Liu; Jiangsu Du; Yang You 001 (CoRR, 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)

Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference. - Shengyuan Ye; Jiangsu Du; Liekang Zeng; Wenzhong Ou; Xiaowen Chu 001; Yutong Lu; Xu Chen 004 (INFOCOM, 2024)

Understanding the Inference Performance of Spatial Temporal Diffusion Transformer. - Yu Li; Yuanxin Wei; Jiangsu Du; Dan Huang 001; Nong Xiao 001 (NPC (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)

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 001; Jiazhi Jiang; Jiangsu Du; Dan Huang 001; Yutong Lu (IEEE Trans. Parallel Distributed Syst., 2024)

IncrCP: Decomposing and Orchestrating Incremental Checkpoints for Effective Recommendation Model Training. - Qingyin Lin; Jiangsu Du; Rui Li; Zhiguang Chen 001; Wenguang Chen; Nong Xiao 001 (Proc. VLDB Endow., 2024)

Concerto: Automatic Communication Optimization and Scheduling for Large-Scale Deep Learning. - Shenggan Cheng; Shengjie Lin; Lansong Diao; Hao Wu 077; Siyu Wang; Chang Si; Ziming Liu; Xuanlei Zhao; Jiangsu Du; Wei Lin 016; Yang You 001 (ASPLOS (1), 2025)

PASK: Cold Start Mitigation for Inference with Proactive and Selective Kernel Loading on GPUs. - Xuanteng Huang; Jiangsu Du; Nong Xiao 001; XianWei Zhang 001 (DAC, 2025)

ORFA: Exploring WebAssembly as a Turing Complete Query Language for Web APIs. - Yuhao Gu; Chunyu Chen; Jiangsu Du; Xiaoxi Zhang; Xianwei Zhang 001 (WWW, 2025)

gLLM: Global Balanced Pipeline Parallelism System for Distributed LLM Serving with Token Throttling. - Tianyu Guo 009; Xianwei Zhang 001; Jiangsu Du; Zhiguang Chen 001; Nong Xiao 001; Yutong Lu (CoRR, 2025)

EcoServe: Enabling Cost-effective LLM Serving with Proactive Intra- and Inter-Instance Orchestration. - Jiangsu Du; Hongbin Zhang 006; Taosheng Wei; Zhenyi Zheng; Kaiyi Wu; Zhiguang Chen 001; Yutong Lu (CoRR, 2025)

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation. - Shenggan Cheng; Yuanxin Wei; Lansong Diao; Yong Liu 020; Bujiao Chen; Lianghua Huang; Yu Liu 023; Wenyuan Yu; Jiangsu Du; Wei Lin 016; Yang You 001 (CoRR, 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)

TD-Pipe: Temporally-Disaggregated Pipeline Parallelism Architecture for High-Throughput LLM Inference. - Hongbin Zhang 006; Taosheng Wei; Zhenyi Zheng; Jiangsu Du; Zhiguang Chen 001; Yutong Lu (CoRR, 2025)

MixCache: Mixture-of-Cache for Video Diffusion Transformer Acceleration. - Yuanxin Wei; Lansong Diao; Bujiao Chen; Shenggan Cheng; Zhengping Qian; Wenyuan Yu; Nong Xiao 001; Wei Lin 016; Jiangsu Du (CoRR, 2025)

Resource-Efficient Collaborative Edge Transformer Inference With Hybrid Model Parallelism. - Shengyuan Ye; Bei Ouyang; Jiangsu Du; Liekang Zeng; Tianyi Qian; Wenzhong Ou; Xiaowen Chu 001; Deke Guo; Yutong Lu; Xu Chen 004 (IEEE Trans. Mob. Comput., 2025)

Efficient KV Cache Spillover Management on Memory-Constrained GPU for LLM Inference. - Jiazhi Jiang; Yao Chen 008; Zining Zhang 001; Bingsheng He; Pingyi Luo; Mian Lu; Yuqiang Chen; Hongbin Zhang 006; Jiangsu Du; Dan Huang 001; Yutong Lu (IEEE Trans. Parallel Distributed Syst., 2026)