Failure Inference for shortening traffic Detours. - Anmin Xu; Jun Bi; Baobao Zhang; Shuhe Wang; Jianping Wu (IWQoS, 2017)

GEN: A GPU-Accelerated Elastic Framework for NFV. - Zhilong Zheng; Jun Bi; Chen Sun 005; Heng Yu 005; Hongxin Hu; Zili Meng; Shuhe Wang; Kai Gao 001; Jianping Wu (APNet, 2018)

PAM: When Overloaded, Push Your Neighbor Aside! - Zili Meng; Jun Bi; Chen Sun 005; Shuhe Wang; Minhu Wang; Hongxin Hu (SIGCOMM Posters and Demos, 2018)

Prophet: Real-time Queue Length Inference in Programmable Switches. - Shuhe Wang; Jun Bi; Chen Sun 005; Yu Zhou 008 (SOSR, 2019)

SmartChain: Enabling High-Performance Service Chain Partition between SmartNIC and CPU. - Shuhe Wang; Zili Meng; Chen Sun 005; Minhu Wang; Mingwei Xu; Jun Bi; Tong Yang 003; Qun Huang 001; Hongxin Hu (ICC, 2020)

Martini: Bridging the Gap between Network Measurement and Control Using Switching ASICs. - Shuhe Wang; Chen Sun 005; Zili Meng; Minhu Wang; Jiamin Cao; Mingwei Xu; Jun Bi; Qun Huang 001; Masoud Moshref; Tong Yang 003; Hongxin Hu; Gong Zhang 001 (ICNP, 2020)

Dawn: Co-programming Distributed Applications with Network Control. - Shuhe Wang; Dong Guo; Wei Jiang; Haizhou Du; Mingwei Xu (NAI@SIGCOMM, 2020)

OpenViDial: A Large-Scale, Open-Domain Dialogue Dataset with Visual Contexts. - Yuxian Meng; Shuhe Wang; Qinghong Han; Xiaofei Sun 001; Fei Wu 001; Rui Yan; Jiwei Li 001 (CoRR, 2020)

Socker: Network-application Co-programming with Socket Tracing. - Dong Guo; Shuhe Wang; Y. Richard Yang (NAI@SIGCOMM, 2021)

Modeling Text-visual Mutual Dependency for Multi-modal Dialog Generation. - Shuhe Wang; Yuxian Meng; Xiaofei Sun 001; Fei Wu 001; Rongbin Ouyang; Rui Yan; Tianwei Zhang 004; Jiwei Li 001 (CoRR, 2021)

OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contexts. - Shuhe Wang; Yuxian Meng; Xiaoya Li 001; Xiaofei Sun 001; Rongbin Ouyang; Jiwei Li 001 (CoRR, 2021)

Faster Nearest Neighbor Machine Translation. - Shuhe Wang; Jiwei Li 001; Yuxian Meng; Rongbin Ouyang; Guoyin Wang 002; Xiaoya Li 001; Tianwei Zhang 004; Shi Zong (CoRR, 2021)

kNN-NER: Named Entity Recognition with Nearest Neighbor Search. - Shuhe Wang; Xiaoya Li 001; Yuxian Meng; Tianwei Zhang 004; Rongbin Ouyang; Jiwei Li 001; Guoyin Wang 002 (CoRR, 2022)

GNN-SL: Sequence Labeling Based on Nearest Examples via GNN. - Shuhe Wang; Yuxian Meng; Rongbin Ouyang; Jiwei Li 001; Tianwei Zhang 004; Lingjuan Lyu; Guoyin Wang 002 (ACL (Findings), 2023)

Design and Evaluation of a VR Therapy for Patients with Mild Cognitive Impairment and Dementia: Perspectives from Patients and Stakeholders. - Ruiqi Chen 004; Shuhe Wang; Xuhai Xu; Lan Wei; Yuling Sun; Xin Tong 004 (VR Workshops, 2023)

GPT-NER: Named Entity Recognition via Large Language Models. - Shuhe Wang; Xiaofei Sun 001; Xiaoya Li 001; Rongbin Ouyang; Fei Wu 001; Tianwei Zhang 004; Jiwei Li 001; Guoyin Wang 002 (CoRR, 2023)

Pushing the Limits of ChatGPT on NLP Tasks. - Xiaofei Sun 001; Linfeng Dong; Xiaoya Li 001; Zhen Wan; Shuhe Wang; Tianwei Zhang 004; Jiwei Li 001; Fei Cheng 002; Lingjuan Lyu; Fei Wu 001; Guoyin Wang 002 (CoRR, 2023)

Instruction Tuning for Large Language Models: A Survey. - Shengyu Zhang 001; Linfeng Dong; Xiaoya Li 001; Sen Zhang; Xiaofei Sun 001; Shuhe Wang; Jiwei Li 001; Runyi Hu; Tianwei Zhang 004; Fei Wu 001; Guoyin Wang 002 (CoRR, 2023)

Sentiment Analysis through LLM Negotiations. - Xiaofei Sun 001; Xiaoya Li 001; Shengyu Zhang 001; Shuhe Wang; Fei Wu 001; Jiwei Li 001; Tianwei Zhang 004; Guoyin Wang 002 (CoRR, 2023)

Sim-GPT: Text Similarity via GPT Annotated Data. - Shuhe Wang; Beiming Cao; Shengyu Zhang 001; Xiaoya Li 001; Jiwei Li 001; Fei Wu 001; Guoyin Wang 002; Eduard H. Hovy (CoRR, 2023)

Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning. - Shuhe Wang; Guoyin Wang 002; Jiwei Li 001; Eduard H. Hovy; Chen Guo (CoRR, 2024)

Reinforcement Learning Enhanced LLMs: A Survey. - Shuhe Wang; Shengyu Zhang 001; Jie Zhang 073; Runyi Hu; Xiaoya Li 001; Tianwei Zhang 004; Jiwei Li 001; Fei Wu 001; Guoyin Wang 002; Eduard H. Hovy (CoRR, 2024)

Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning. - Shuhe Wang; Guoyin Wang 002; Yizhong Wang; Jiwei Li 001; Eduard H. Hovy; Chen Guo (ACL (Findings), 2025)

GPT-NER: Named Entity Recognition via Large Language Models. - Shuhe Wang; Xiaofei Sun 001; Xiaoya Li 001; Rongbin Ouyang; Fei Wu 001; Tianwei Zhang 004; Jiwei Li 001; Guoyin Wang 002; Chen Guo (NAACL (Findings), 2025)

HyperEDL: Spectral-Spatial Evidence Deep Learning for Cross-Scene Hyperspectral Image Classification. - Yangbo Feng; Xin Yi; Shuhe Wang; Jun Yue; Shaobo Xia; Leyuan Fang (IEEE Trans. Geosci. Remote. Sens., 2025)

Exemplar-Free Lifelong Hyperspectral Image Classification With Spectral Consistency. - Zhenlin Li; Shaobo Xia; Shuhe Wang; Jun Yue; Leyuan Fang (IEEE Trans. Geosci. Remote. Sens., 2025)

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data. - Shuhe Wang; Xiaoya Li 001; Xiaofei Sun 001; Guoyin Wang 002; Tianwei Zhang 004; Jiwei Li 001; Eduard H. Hovy (CoRR, 2025)

FaceID-6M: A Large-Scale, Open-Source FaceID Customization Dataset. - Shuhe Wang; Xiaoya Li 001; Jiwei Li 001; Guoyin Wang 002; Xiaofei Sun 001; Bob Zhu; Han Qiu 001; Mo Yu; Shengjie Shen; Tianwei Zhang 004; Eduard H. Hovy (CoRR, 2025)