Shijie Cao - RankMe

51 papers A* 6A 6Journal 31Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comprehensive Review of Optimization Algorithms in Oil and Gas Fields: Approaches and Applications. Int. J. Commun. Syst. Xifeng Ning, Shijie Cao, Hailu Sun, Chao Yang, Yuan Yuan, Hongyan Wang
2026	A*	`conf`	BitDecoding: Unlocking Tensor Cores for Long-Context LLMs with Low-Bit KV Cache. HPCA Dayou Du, Shijie Cao, Jianyi Cheng, Luo Mai, Ting Cao, Mao Yang
2026	J	`jnl`	HySparse: A Hybrid Sparse Attention Architecture with Oracle Token Selection and KV Cache Sharing. CoRR Yizhao Gao, Jianyu Wei, Qihao Zhang, Yu Cheng, Shimao Chen, Zhengju Tang, Zihan Jiang, Yifan Song, Hailin Zhang, Liang Zhao, Bo Yang, Gang Wang, Shijie Cao, Fuli Luo
2026	—	`conf`	ROMA: A Read-Only-Memory-based Accelerator for QLoRA-based On-Device LLM. ASP-DAC Wenqiang Wang, Yijia Zhang, Zikai Zhang, Guanting Huo, Hao Liang, Shijie Cao, Ningyi Xu
2026	J	`jnl`	TOM: A Ternary Read-only Memory Accelerator for LLM-powered Edge Intelligence. CoRR Hongyi Guan, Yijia Zhang, Wenqiang Wang, Yizhao Gao, Shijie Cao, Chen Zhang, Ningyi Xu
2025	—	`conf`	A Dual-Module System Design and Application for Digital Payment Fraud Detection. KSEM (5) Yingxin Hong, Qingqing Ren, Shijie Cao, Hualing Liu
2025	J	`jnl`	A Novel Memetic Algorithm for Energy-Efficient Distributed Heterogeneous Flexible Job Shop Scheduling: Case Studies in AAVs Delivery. IEEE Internet Things J. Shijie Cao, Yuan Yuan
2025	J	`jnl`	BitDecoding: Unlocking Tensor Cores for Long-Context LLMs Decoding with Low-Bit KV Cache. CoRR Dayou Du, Shijie Cao, Jianyi Cheng, Ting Cao, Mao Yang
2025	—	`conf`	Bitnet.cpp: Efficient Edge Inference for Ternary LLMs. ACL (1) Jinheng Wang, Hansong Zhou, Ting Song, Shijie Cao, Yan Xia, Ting Cao, Jianyu Wei, Shuming Ma, Hongyu Wang, Furu Wei
2025	J	`jnl`	Bitnet.cpp: Efficient Edge Inference for Ternary LLMs. CoRR Jinheng Wang, Hansong Zhou, Ting Song, Shijie Cao, Yan Xia, Ting Cao, Jianyu Wei, Shuming Ma, Hongyu Wang, Furu Wei
2025	J	`jnl`	CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation. CoRR Kefan Li, Hongyue Yu, Tingyu Guo, Shijie Cao, Yuan Yuan
2025	J	`jnl`	Data Efficacy for Language Model Training. CoRR Yalun Dai, Yangyu Huang, Xin Zhang, Wenshan Wu, Chong Li, Wenhui Lu, Shijie Cao, Li Dong, Scarlett Li
2025	J	`jnl`	Dissecting Bit-Level Scaling Laws in Quantizing Vision Generative Models. CoRR Xin Ding, Shijie Cao, Ting Cao, Zhibo Chen
2025	J	`jnl`	Fine-Grained Structured Sparse Computing for FPGA-Based AI Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 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
2025	A*	`conf`	LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference. ISCA Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang
2025	J	`jnl`	Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning. CoRR Lijie Yang, Zhihao Zhang, Arti Jain, Shijie Cao, Baihong Yuan, Yiwei Chen, Zhihao Jia, Ravi Netravali
2025	J	`jnl`	ROMA: a Read-Only-Memory-based Accelerator for QLoRA-based On-Device LLM. CoRR Wenqiang Wang, Yijia Zhang, Zikai Zhang, Guanting Huo, Hao Liang, Shijie Cao, Ningyi Xu
2025	J	`jnl`	Rectified Sparse Attention. CoRR Yutao Sun, Tianzhu Ye, Li Dong, Yuqing Xia, Jian Chen, Yizhao Gao, Shijie Cao, Jianyong Wang, Furu Wei
2025	J	`jnl`	ReflecSched: Solving Dynamic Flexible Job-Shop Scheduling via LLM-Powered Hierarchical Reflection. CoRR Shijie Cao, Yuan Yuan
2025	J	`jnl`	SeerAttention-R: Sparse Attention Adaptation for Long Reasoning. CoRR 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
2025	A	`conf`	T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge. EuroSys Jianyu Wei, Shijie Cao, Ting Cao, Lingxiao Ma, Lei Wang, Yanyong Zhang, Mao Yang
2025	J	`jnl`	T-MAN: Enabling End-to-End Low-Bit LLM Inference on NPUs via Unified Table Lookup. CoRR Jianyu Wei, Qingtao Li, Shijie Cao, Lingxiao Ma, Zixu Hao, Yanyong Zhang, Xiaoyan Hu, Ting Cao
2025	J	`jnl`	TENET: An Efficient Sparsity-Aware LUT-Centric Architecture for Ternary LLM Inference On Edge. CoRR Zhirui Huang, Rui Ma, Shijie Cao, Ran Shu, Ian Wang, Ting Cao, Chixiao Chen, Yongqiang Xiong
2024	—	`conf`	AFPQ: Asymmetric Floating Point Quantization for LLMs. ACL (Findings) Yijia Zhang, Sicheng Zhang, Shijie Cao, Dayou Du, Jianyu Wei, Ting Cao, Ningyi Xu
2024	J	`jnl`	Automating Energy-Efficient GPU Kernel Generation: A Fast Search-Based Compilation Approach. CoRR Yijia Zhang, Zhihong Gou, Shijie Cao, Weigang Feng, Sicheng Zhang, Guohao Dai, Ningyi Xu
2024	—	`conf`	BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation. ACL (1) Dayou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu
2024	J	`jnl`	BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation. CoRR Dayou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu
2024	A	`conf`	Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. ICME Yijia Zhang, Lingran Zhao, Shijie Cao, Sicheng Zhang, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu
2024	J	`jnl`	LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration. CoRR Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang
2024	A*	`conf`	Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation. OSDI Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang
2024	A*	`conf`	Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference. ISCA Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang
2024	J	`jnl`	SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs. CoRR Yizhao Gao, Zhichen Zeng, Dayou Du, Shijie Cao, Hayden Kwok-Hay So, Ting Cao, Fan Yang, Mao Yang
2024	J	`jnl`	T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge. CoRR Jianyu Wei, Shijie Cao, Ting Cao, Lingxiao Ma, Lei Wang, Yanyong Zhang, Mao Yang
2023	J	`jnl`	AFPQ: Asymmetric Floating Point Quantization for LLMs. CoRR Yijia Zhang, Sicheng Zhang, Shijie Cao, Dayou Du, Jianyu Wei, Ting Cao, Ningyi Xu
2023	A	`conf`	Accurate and Structured Pruning for Efficient Automatic Speech Recognition. INTERSPEECH Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu
2023	J	`jnl`	Accurate and Structured Pruning for Efficient Automatic Speech Recognition. CoRR Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu
2023	A	`conf`	Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training. ECAI Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu
2023	J	`jnl`	Adam Accumulation to Reduce Memory Footprints of both Activations and Gradients for Large-scale DNN Training. CoRR Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu
2023	—	`conf`	Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning. MLSys Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang
2023	J	`jnl`	Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. CoRR Yijia Zhang, Lingran Zhao, Shijie Cao, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu
2023	J	`jnl`	Inverse model and adaptive neighborhood search based cooperative optimizer for energy-efficient distributed flexible job shop scheduling. Swarm Evol. Comput. Shijie Cao, Rui Li, Wenyin Gong, Chao Lu
2023	A	`conf`	NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors. MobiSys Jianyu Wei, Ting Cao, Shijie Cao, Shiqi Jiang, Shaowei Fu, Mao Yang, Yanyong Zhang, Yunxin Liu
2023	J	`jnl`	Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference. CoRR Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang
2021	—	`conf`	Building a COVID-19 Literature Knowledge Graph Based on PubMed. MICAD Hualing Liu, Yi Sun, Shijie Cao
2021	J	`jnl`	Dense-to-Sparse Gate for Mixture-of-Experts. CoRR Xiaonan Nie, Shijie Cao, Xupeng Miao, Lingxiao Ma, Jilong Xue, Youshan Miao, Zichao Yang, Zhi Yang, Bin Cui
2019	A*	`conf`	Balanced Sparsity for Efficient DNN Inference on GPU. AAAI Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie
2019	A	`conf`	Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity. FPGA Shijie Cao, Chen Zhang, Zhuliang Yao, Wencong Xiao, Lanshun Nie, De-chen Zhan, Yunxin Liu, Ming Wu, Lintao Zhang
2019	J	`jnl`	FlexSaaS: A Reconfigurable Accelerator for Web Search Selection. ACM Trans. Reconfigurable Technol. Syst. Shijie Cao, Lanshun Nie, De-chen Zhan, Wenqiang Wang, Ningyi Xu, Ramashis Das, Ming Wu, Lintao Zhang, Derek Chiou
2019	A*	`conf`	SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization. CVPR Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang, Lanshun Nie, Zhi Yang
2018	J	`jnl`	Balanced Sparsity for Efficient DNN Inference on GPU. CoRR Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie
2013	—	`conf`	Information Technology Education Based on Cloud Computing. ICICA (1) Jiangyan Zheng, Shijie Cao, Jianhui Zheng, Zhihui Chen, Liang Hong