EN-T: Optimizing Tensor Computing Engines Performance via Encoder-Based Methodology. - Qizhe Wu; Yuchen Gui; Zhichen Zeng 002; Xiaotian Wang; Huawen Liang; Xi Jin 002 (ICCD, 2024)

EN-TensorCore: Advancing TensorCores Performance through Encoder-Based Methodology. - Qizhe Wu; Yuchen Gui; Zhichen Zeng 002; Xiaotian Wang; Huawen Liang; Xi Jin 002 (CoRR, 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)

Allo: A Programming Model for Composable Accelerator Design. - Hongzheng Chen; Niansong Zhang; Shaojie Xiang; Zhichen Zeng 002; Mengjia Dai; Zhiru Zhang (Proc. ACM Program. Lang., 2024)

Exploring the Performance Improvement of Tensor Processing Engines through Transformation in the Bit-weight Dimension of MACs. - Qizhe Wu; Huawen Liang; Yuchen Gui; Zhichen Zeng 002; Zerong He; Linfeng Tao; Xiaotian Wang; Letian Zhao; Zhaoxi Zeng; Wei Yuan 006; Wei Wu; Xi Jin 002 (HPCA, 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)

Tactic: Adaptive Sparse Attention with Clustering and Distribution Fitting for Long-Context LLMs. - Kan Zhu; Tian Tang; Qinyu Xu; Yile Gu; Zhichen Zeng 002; Rohan Kadekodi; Liangyu Zhao; Ang Li; Arvind Krishnamurthy; Baris Kasikci (CoRR, 2025)