34.7 A 28nm 2.4Mb/mm2 6.9 - 16.3TOPS/mm2 eDRAM-LUT-Based Digital-Computing-in-Memory Macro with In-Memory Encoding and Refreshing. - Yifan He 003; Shupei Fan; Xuan Li; Luchang Lei; Wenbin Jia; Chen Tang; Yaolei Li; Zongle Huang; Zhike Du; Jinshan Yue; Xueqing Li 002; Huazhong Yang; et al. (ISSCC, 2024)

Exploring Approximation and Dataflow Co-Optimization for Scalable Transformer Inference Architecture on the Edge. - Liu He; Yujin Wang; Zongle Huang; Shupei Fan; Chen Tang; Shuyuan Zhang; Luchang Lei; Huazhong Yang; Yongpan Liu; Hongyang Jia (SOCC, 2024)

A 28nm 4.35TOPS/mm2 Transformer Accelerator with Basis-vector Based Ultra Storage Compression, Decomposed Computation and Unified LUT-Assisted Cores. - Chen Tang; Xinyuan Lin; Zongle Huang; Wenyu Sun; Hongyang Jia; Yongpan Liu (VLSI Technology and Circuits, 2024)

Hecaton: Training and Finetuning Large Language Models with Scalable Chiplet Systems. - Zongle Huang; Shupei Fan; Chen Tang; Xinyuan Lin; Shuwen Deng; Yongpan Liu (CoRR, 2024)

Pro-Cache-CIM: A 28nm 69.4TOPS/W Product-Cache-based Digital-Compute-in-Memory Macro Leveraging Data Locality Pattern in Vision AI Tasks. - Wenbin Jia; Yifan He 003; Xiang Li; Yixuan Xie; Zongle Huang; Wenxun Wang; Boju Chen; Yaolei Li; Jinshan Yue; Xueqing Li 002; Huazhong Yang; Hongyang Jia; et al. (CICC, 2025)

CCE: A 28nm Content Creation Engine with Asymmetric Computing, Semantic-Driven Instruction Generation and Collision-Free Outlier Mapper for Video Generation. - Chen Tang; Zongle Huang; Wenxun Wang; Yifan He; Shupei Fan; Xiaoyu Feng; Wenyu Sun; Yongpan Liu (CICC, 2025)

Enhancing Memory Efficiency in Large Language Model Training Through Chronos-aware Pipeline Parallelism. - Xinyuan Lin; Chenlu Li; Zongle Huang; Chunyu Wang; Bo Xiao; Huazhong Yang; Shishi Duan; Yongpan Liu (CoRR, 2025)

MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE. - Zongle Huang; Lei Zhu; Zongyuan Zhan; Ting Hu; Weikai Mao; Xianzhi Yu; Yongpan Liu; Tianyu Zhang (CoRR, 2025)