Research on Meals Industry of the US Stock Market Before and After COVID-19 Pandemic: Based on the Fama-French Five-Factor Model. - Zhuocheng Zhang (ICEME, 2021)

Thermal Studies of BEOL-compatible Top-Gated Atomically Thin ALD In2O3 FETs. - Pai-Ying Liao; Sami Alajlouni; Mengwei Si; Zhuocheng Zhang; Zehao Lin; Jinhyun Noh; Calista Wilk; Ali Shakouri; Peide D. Ye (VLSI Technology and Circuits, 2022)

Enhancing Neural Machine Translation with Semantic Units. - Langlin Huang; Shuhao Gu; Zhuocheng Zhang; Yang Feng 004 (EMNLP (Findings), 2023)

Scaling Law for Document Neural Machine Translation. - Zhuocheng Zhang; Shuhao Gu; Min Zhang 005; Yang Feng 004 (EMNLP (Findings), 2023)

Addressing the Length Bias Challenge in Document-Level Neural Machine Translation. - Zhuocheng Zhang; Shuhao Gu; Min Zhang 005; Yang Feng 004 (EMNLP (Findings), 2023)

Ultrahigh Bias Stability of ALD In2O3 FETs Enabled by High Temperature O2 Annealing. - Zhuocheng Zhang; Zehao Lin; Chang Niu; Mengwei Si; Muhammad Ashraful Alam; Peide D. Ye (VLSI Technology and Circuits, 2023)

First Demonstration of BEOL-Compatible Atomic-Layer-Deposited InGaZnO TFTs with 1.5 nm Channel Thickness and 60 nm Channel Length Achieving ON/OFF Ratio Exceeding 1011, SS of 68 mV/dec, Normal-off Operation and High Positive Gate Bias Stability. - Jie Zhang; Zhuocheng Zhang; Zehao Lin; Ke Xu; Hongyi Dou; Bo Yang; Xinghang Zhang; Haiyan Wang; Peide D. Ye (VLSI Technology and Circuits, 2023)

BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models. - Shaolei Zhang; Qingkai Fang; Zhuocheng Zhang; Zhengrui Ma; Yan Zhou; Langlin Huang; Mengyu Bu; Shangtong Gui; Yunji Chen; Xilin Chen 001; Yang Feng 004 (CoRR, 2023)

Addressing the Length Bias Problem in Document-Level Neural Machine Translation. - Zhuocheng Zhang; Shuhao Gu; Min Zhang 005; Yang Feng 004 (CoRR, 2023)

Reason Generation for Point of Interest Recommendation Via a Hierarchical Attention-Based Transformer Model. - Yuxia Wu; Guoshuai Zhao; Mingdi Li; Zhuocheng Zhang; Xueming Qian (IEEE Trans. Multim., 2024)

LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented Searchers. - Zhuocheng Zhang; Yang Feng; Min Zhang (CoRR, 2025)

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation. - Zhuocheng Zhang; Yang Feng; Min Zhang (CoRR, 2025)