Do People Prefer "Natural" code? - Casey Casalnuovo; Kevin Lee; Hulin Wang; Prem Devanbu; Emily Morgan (CoRR, 2019)

Do Programmers Prefer Predictable Expressions in Code? - Casey Casalnuovo; Kevin Lee; Hulin Wang; Prem Devanbu; Emily Morgan (Cogn. Sci., 2020)

FedNLP: A Research Platform for Federated Learning in Natural Language Processing. - Bill Yuchen Lin; Chaoyang He 001; Zihang Zeng; Hulin Wang; Yufen Huang; Mahdi Soltanolkotabi; Xiang Ren 001; Salman Avestimehr (CoRR, 2021)

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. - Bill Yuchen Lin; Chaoyang He 001; Zihang Ze; Hulin Wang; Yufen Hua; Christophe Dupuy; Rahul Gupta 001; Mahdi Soltanolkotabi; Xiang Ren 001; Salman Avestimehr (NAACL-HLT (Findings), 2022)

Redundancy-Free High-Performance Dynamic GNN Training with Hierarchical Pipeline Parallelism. - Yaqi Xia; Zheng Zhang 036; Hulin Wang; Donglin Yang; Xiaobo Zhou 002; Dazhao Cheng (HPDC, 2023)

Development of a Time Projection Chamber Readout with Hybrid Pixel Sensors for Beam Monitoring. - Yingdong Song; Haibo Yang; Yuezhao Zhang; Jianwei Liao 002; Yanhao Jia; Peng Ma; Yufeng Hou; Xiangming Sun; Hulin Wang; Haisheng Song; Chengxin Zhao (Sensors, 2024)

MPMoE: Memory Efficient MoE for Pre-Trained Models With Adaptive Pipeline Parallelism. - Zheng Zhang 036; Yaqi Xia; Hulin Wang; Donglin Yang; Chuang Hu; Xiaobo Zhou 002; Dazhao Cheng (IEEE Trans. Parallel Distributed Syst., 2024)

Raptor-T: A Fused and Memory-Efficient Sparse Transformer for Long and Variable-Length Sequences. - Hulin Wang; Donglin Yang; Yaqi Xia; Zheng Zhang 036; Qigang Wang; Jianping Fan 007; Xiaobo Zhou 002; Dazhao Cheng (IEEE Trans. Computers, 2024)

Harnessing Inter-GPU Shared Memory for Seamless MoE Communication-Computation Fusion. - Hulin Wang; Yaqi Xia; Donglin Yang; Xiaobo Zhou 002; Dazhao Cheng (PPoPP, 2025)