Shijie Cao

According to our database, Shijie Cao authored at least 34 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning.

Lijie Yang, Zhihao Zhang, Arti Jain, Shijie Cao, Baihong Yuan, Yiwei Chen, Zhihao Jia, Ravi Netravali

CoRR, August, 2025

ReflecSched: Solving Dynamic Flexible Job-Shop Scheduling via LLM-Powered Hierarchical Reflection.

Shijie Cao, Yuan Yuan

CoRR, August, 2025

Fine-Grained Structured Sparse Computing for FPGA-Based AI Inference.

Chen Zhang, Shijie Cao, Guohao Dai, Chenbo Geng, Zhuliang Yao, Wencong Xiao, Yunxin Liu, Ming Wu, Lintao Zhang, Guangyu Sun, Zhigang Ji, Runsheng Wang, Ru Huang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2025

Data Efficacy for Language Model Training.

Yalun Dai, Yangyu Huang, Xin Zhang, Wenshan Wu, Chong Li, Wenhui Lu, Shijie Cao, Li Dong, Scarlett Li

CoRR, June, 2025

SeerAttention-R: Sparse Attention Adaptation for Long Reasoning.

Yizhao Gao, Shuming Guo, Shijie Cao, Yuqing Xia, Yu Cheng, Lei Wang, Lingxiao Ma, Yutao Sun, Tianzhu Ye, Li Dong, Hayden Kwok-Hay So, Yu Hua, Ting Cao, Fan Yang, Mao Yang

CoRR, June, 2025

Rectified Sparse Attention.

Yutao Sun, Tianzhu Ye, Li Dong, Yuqing Xia, Jian Chen, Yizhao Gao, Shijie Cao, Jianyong Wang, Furu Wei

CoRR, June, 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

CoRR, March, 2025

ROMA: a Read-Only-Memory-based Accelerator for QLoRA-based On-Device LLM.

Wenqiang Wang, Yijia Zhang, Zikai Zhang, Guanting Huo, Hao Liang, Shijie Cao, Ningyi Xu

CoRR, March, 2025

CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation.

Kefan Li, Hongyue Yu, Tingyu Guo, Shijie Cao, Yuan Yuan

CoRR, February, 2025

Dissecting Bit-Level Scaling Laws in Quantizing Vision Generative Models.

Xin Ding, Shijie Cao, Ting Cao, Zhibo Chen

CoRR, January, 2025

LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference.

Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 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, Yanyong Zhang, Mao Yang

Proceedings of the Twentieth European Conference on Computer Systems, 2025

Bitnet.cpp: Efficient Edge Inference for Ternary LLMs.

Jinheng Wang, Hansong Zhou, Ting Song, Shijie Cao, Yan Xia, Ting Cao, Jianyu Wei, Shuming Ma, Hongyu Wang, Furu Wei

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs.

Yizhao Gao, Zhichen Zeng, Dayou Du, Shijie Cao, Hayden Kwok-Hay So, Ting Cao, Fan Yang, Mao Yang

CoRR, 2024

LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration.

Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang

CoRR, 2024

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation.

Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 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

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 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, Mao Yang, Shanghang Zhang, Ningyi Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

AFPQ: Asymmetric Floating Point Quantization for LLMs.

Yijia Zhang, Sicheng Zhang, Shijie Cao, Dayou Du, Jianyu Wei, Ting Cao, Ningyi Xu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation.

Dayou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Inverse model and adaptive neighborhood search based cooperative optimizer for energy-efficient distributed flexible job shop scheduling.

Shijie Cao, Rui Li, Wenyin Gong, Chao Lu

Swarm Evol. Comput., December, 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, Mao Yang, Shanghang Zhang, Ningyi Xu

CoRR, 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, Yanyong Zhang, Yunxin Liu

Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning.

Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang

Proceedings of the Sixth Conference on Machine Learning and Systems, 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, Jinyu Li, Mao Yang, Lili Qiu

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

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, Ningyi Xu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

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, Bin Cui

CoRR, 2021

Building a COVID-19 Literature Knowledge Graph Based on PubMed.

Hualing Liu, Yi Sun, Shijie Cao

Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021

2019

FlexSaaS: A Reconfigurable Accelerator for Web Search Selection.

Shijie Cao, Lanshun Nie, De-chen Zhan, Wenqiang Wang, Ningyi Xu, Ramashis Das, Ming Wu, Lintao Zhang, Derek Chiou

ACM Trans. Reconfigurable Technol. Syst., 2019

Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity.

Shijie Cao, Chen Zhang, Zhuliang Yao, Wencong Xiao, Lanshun Nie, De-chen Zhan, Yunxin Liu, Ming Wu, Lintao Zhang

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization.

Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang, Lanshun Nie, Zhi Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Balanced Sparsity for Efficient DNN Inference on GPU.

Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2013

Information Technology Education Based on Cloud Computing.

Jiangyan Zheng, Shijie Cao, Jianhui Zheng, Zhihui Chen, Liang Hong

Proceedings of the Information Computing and Applications - 4th International Conference, 2013