Softmax Acceleration with Adaptive Numeric Format for both Training and Inference. - Tianhua Xia; Sai Qian Zhang (CoRR, 2023)

Hyft: A Reconfigurable Softmax Accelerator with Hybrid Numeric Format for both Training and Inference. - Tianhua Xia; Sai Qian Zhang (ISLPED, 2024)

PICACHU: Plug-In CGRA Handling Upcoming Nonlinear Operations in LLMs. - Jiajun Qin; Tianhua Xia; Cheng Tan 002; Jeff Zhang 001; Sai Qian Zhang (ASPLOS (2), 2025)

Foveated Instance Segmentation. - Hongyi Zeng; Wenxuan Liu; Tianhua Xia; Jinhui Chen; Ziyun Li; Sai Qian Zhang (CVPR, 2025)

HAAN: A Holistic Approach for Accelerating Normalization Operations in Large Language Models. - Tianfan Peng; Tianhua Xia; Jiajun Qin; Sai Qian Zhang (DATE, 2025)

Huff-LLM: End-to-End Lossless Compression for Efficient LLM Inference. - Patrick Yubeaton; Tareq Mahmoud; Shehab Naga; Pooria Taheri; Tianhua Xia; Arun George; Yasmein Khalil; Sai Qian Zhang; Siddharth Joshi 001; Chinmay Hegde; Siddharth Garg (CoRR, 2025)

DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding. - Yunhai Hu; Tianhua Xia; Zining Liu; Rahul Raman; Xingyu Liu; Bo Bao; Eric Sather; Vithursan Thangarasa; Sai Qian Zhang (CoRR, 2025)