CLLD: Contrastive Learning with Label Distance for Text Classificatioin. - Jinhe Lan; Qingyuan Zhan; Chenhao Jiang; Kunping Yuan; Desheng Wang (CoRR, 2021)

Performance Modeling of Blockchains of BFT-type Consensus. - Bo Li; Chenhao Jiang; Hanwen Zhang 001; Zhongcheng Li; Yi Sun 004 (ICPADS, 2023)

Performance Modeling of Blockchains with Fixed Block Intervals. - Bo Li; Hanwen Zhang 001; Chenhao Jiang; Zhongcheng Li; Yi Sun 004 (IPCCC, 2023)

Arbitor: A Numerically Accurate Hardware Emulation Tool for DNN Accelerators. - Chenhao Jiang; Anand Jayarajan; Hao Lu; Gennady Pekhimenko (USENIX ATC, 2023)

Seesaw: High-throughput LLM Inference via Model Re-sharding. - Qidong Su; Wei Zhao; Xin Li; Muralidhar Andoorveedu; Chenhao Jiang; Zhanda Zhu; Kevin Song; Christina Giannoula; Gennady Pekhimenko (CoRR, 2025)