Information Technology Education Based on Cloud Computing. - Jiangyan Zheng; Shijie Cao; Jianhui Zheng; Zhihui Chen; Liang Hong (ICICA (1), 2013)

Balanced Sparsity for Efficient DNN Inference on GPU. - Zhuliang Yao; Shijie Cao; Wencong Xiao; Chen Zhang 001; Lanshun Nie (AAAI, 2019)

SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization. - Shijie Cao; Lingxiao Ma; Wencong Xiao; Chen Zhang 001; Yunxin Liu 001; Lintao Zhang; Lanshun Nie; Zhi Yang 001 (CVPR, 2019)

Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity. - Shijie Cao; Chen Zhang 001; Zhuliang Yao; Wencong Xiao; Lanshun Nie; De-chen Zhan; Yunxin Liu 001; Ming Wu 007; Lintao Zhang (FPGA, 2019)

FlexSaaS: A Reconfigurable Accelerator for Web Search Selection. - Shijie Cao; Lanshun Nie; De-chen Zhan; Wenqiang Wang; Ningyi Xu; Ramashis Das; Ming Wu 007; Lintao Zhang; Derek Chiou (ACM Trans. Reconfigurable Technol. Syst., 2019)

Building a COVID-19 Literature Knowledge Graph Based on PubMed. - Hualing Liu; Yi Sun; Shijie Cao (MICAD, 2021)

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)

Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training. - Yijia Zhang; Yibo Han; Shijie Cao; Guohao Dai; Youshan Miao; Ting Cao; Fan Yang 024; Ningyi Xu (ECAI, 2023)

Accurate and Structured Pruning for Efficient Automatic Speech Recognition. - Huiqiang Jiang; Li Lyna Zhang; Yuang Li; Yu Wu; Shijie Cao; Ting Cao; Yuqing Yang 001; Jinyu Li; Mao Yang 004; Lili Qiu (INTERSPEECH, 2023)

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)

NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors. - Jianyu Wei; Ting Cao; Shijie Cao; Shiqi Jiang; Shaowei Fu; Mao Yang 004; Yanyong Zhang; Yunxin Liu 001 (MobiSys, 2023)

Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. - Yijia Zhang; Lingran Zhao; Shijie Cao; Wenqiang Wang; Ting Cao; Fan Yang 024; Mao Yang 004; Shanghang Zhang; Ningyi Xu (CoRR, 2023)

Inverse model and adaptive neighborhood search based cooperative optimizer for energy-efficient distributed flexible job shop scheduling. - Shijie Cao; Rui Li 087; Wenyin Gong; Chao Lu 008 (Swarm Evol. Comput., 2023)

BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation. - Dayou Du; Yijia Zhang; Shijie Cao; Jiaqi Guo; Ting Cao; Xiaowen Chu 001; Ningyi Xu (ACL (1), 2024)

AFPQ: Asymmetric Floating Point Quantization for LLMs. - Yijia Zhang; Sicheng Zhang; Shijie Cao; Dayou Du; Jianyu Wei; Ting Cao; Ningyi Xu (ACL (Findings), 2024)

Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. - Yijia Zhang; Lingran Zhao; Shijie Cao; Sicheng Zhang; Wenqiang Wang; Ting Cao; Fan Yang 024; Mao Yang 004; Shanghang Zhang; Ningyi Xu (ICME, 2024)

Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference. - Ranggi Hwang; Jianyu Wei; Shijie Cao; Changho Hwang; Xiaohu Tang; Ting Cao; Mao Yang 004 (ISCA, 2024)

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)

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)

SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs. - Yizhao Gao 002; Zhichen Zeng 002; Dayou Du; Shijie Cao; Hayden Kwok-Hay So; Ting Cao; Fan Yang 024; Mao Yang 004 (CoRR, 2024)

Automating Energy-Efficient GPU Kernel Generation: A Fast Search-Based Compilation Approach. - Yijia Zhang; Zhihong Gou; Shijie Cao; Weigang Feng; Sicheng Zhang; Guohao Dai; Ningyi Xu (CoRR, 2024)

Bitnet.cpp: Efficient Edge Inference for Ternary LLMs. - Jinheng Wang; Hansong Zhou; Ting Song; Shijie Cao; Yan Xia 005; Ting Cao; Jianyu Wei; Shuming Ma; Hongyu Wang; Furu Wei (ACL (1), 2025)

T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge. - Jianyu Wei; Shijie Cao; Ting Cao; Lingxiao Ma; Lei Wang 222; Yanyong Zhang; Mao Yang 004 (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)

Dissecting Bit-Level Scaling Laws in Quantizing Vision Generative Models. - Xin Ding; Shijie Cao; Ting Cao; Zhibo Chen 012 (CoRR, 2025)

CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation. - Kefan Li; Hongyue Yu; Tingyu Guo; Shijie Cao; Yuan Yuan (CoRR, 2025)

ROMA: a Read-Only-Memory-based Accelerator for QLoRA-based On-Device LLM. - Wenqiang Wang; Yijia Zhang; Zikai Zhang; Guanting Huo; Hao Liang 003; Shijie Cao; Ningyi Xu (CoRR, 2025)

BitDecoding: Unlocking Tensor Cores for Long-Context LLMs Decoding with Low-Bit KV Cache. - Dayou Du; Shijie Cao; Jianyi Cheng; Ting Cao; Mao Yang 004 (CoRR, 2025)

Rectified Sparse Attention. - Yutao Sun; Tianzhu Ye; Li Dong 004; Yuqing Xia; Jian Chen; Yizhao Gao 002; Shijie Cao; Jianyong Wang 001; Furu Wei (CoRR, 2025)

SeerAttention-R: Sparse Attention Adaptation for Long Reasoning. - Yizhao Gao 002; Shuming Guo; Shijie Cao; Yuqing Xia; Yu Cheng; Lei Wang 222; Lingxiao Ma; Yutao Sun; Tianzhu Ye; Li Dong 004; Hayden Kwok-Hay So; Yu Hua; et al. (CoRR, 2025)

Data Efficacy for Language Model Training. - Yalun Dai; Yangyu Huang; Xin Zhang 099; Wenshan Wu; Chong Li; Wenhui Lu; Shijie Cao; Li Dong; Scarlett Li (CoRR, 2025)

Fine-Grained Structured Sparse Computing for FPGA-Based AI Inference. - Chen Zhang 001; Shijie Cao; Guohao Dai; Chenbo Geng; Zhuliang Yao; Wencong Xiao; Yunxin Liu 001; Ming Wu 007; Lintao Zhang; Guangyu Sun 003; Zhigang Ji; Runsheng Wang; et al. (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

ReflecSched: Solving Dynamic Flexible Job-Shop Scheduling via LLM-Powered Hierarchical Reflection. - Shijie Cao; Yuan Yuan (CoRR, 2025)

Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning. - Lijie Yang 003; Zhihao Zhang 001; Arti Jain; Shijie Cao; Baihong Yuan; Yiwei Chen; Zhihao Jia; Ravi Netravali (CoRR, 2025)