The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods. - Wei Tao 002; Sheng Long; Gaowei Wu; Qing Tao (ICLR, 2021)

Screening with Disadvantaged Agents. - Hedyeh Beyhaghi; Modibo K. Camara; Jason D. Hartline; Aleck C. Johnsen; Sheng Long (FORC, 2023)

SteadySketch: Finding Steady Flows in Data Streams. - Xiaodong Li; Zhuochen Fan; Haoyu Li; Zheng Zhong; Jiarui Guo; Sheng Long; Tong Yang 003; Bin Cui 001 (IWQoS, 2023)

AAsclepius: Monitoring, Diagnosing, and Detouring at the Internet Peering Edge. - Kaicheng Yang 001; Yuanpeng Li 002; Sheng Long; Tong Yang 003; Ruijie Miao; Yikai Zhao 001; Chaoyang Ji; Penghui Mi; Guodong Yang; Qiong Xie; Hao Wang 005; Yinhua Wang; et al. (USENIX ATC, 2023)

Adapting Step-size: A Unified Perspective to Analyze and Improve Gradient-based Methods for Adversarial Attacks. - Wei Tao 002; Lei Bao; Sheng Long; Gaowei Wu; Qing Tao (CoRR, 2023)

SketchINT: Empowering INT With TowerSketch for Per-Flow Per-Switch Measurement. - Kaicheng Yang 001; Sheng Long; Qilong Shi; Yuanpeng Li 002; Zirui Liu 002; Yuhan Wu 001; Tong Yang 003; Zhengyi Jia (IEEE Trans. Parallel Distributed Syst., 2023)

On the Convergence of an Adaptive Momentum Method for Adversarial Attacks. - Sheng Long; Wei Tao 002; Shuohao Li; Jun Lei; Jun Zhang (AAAI, 2024)

Old Wine in a New Bottle? Analysis of Visual Lineups with Signal Detection Theory Position paper. - Sheng Long; Matthew Kay 001 (BELIV, 2024)

Tasks and Telephones: Threats to Experimental Validity due to Misunderstandings of Visualisation Tasks and Strategies Position Paper. - Abhraneel Sarma; Sheng Long; Michael Correll; Matthew Kay 001 (BELIV, 2024)

To Cut or Not To Cut? A Systematic Exploration of Y-Axis Truncation. - Sheng Long; Matthew Kay 001 (CHI, 2024)

Regulation of Algorithmic Collusion. - Jason D. Hartline; Sheng Long; Chenhao Zhang 003 (CSLAW, 2024)

Feature Balance Method for Multi-modal Entity Alignment. - Wei Chen; Xiaofei Li; Sheng Long; Jun Lei; Shuohao Li; Jun Zhang (ICPR (8), 2024)

TriStack enables accurate identification of antimicrobial and anti-inflammatory peptides by combining machine learning and deep learning approaches. - Jiyun Han; Qixuan Chen; Jiaying Su; Tongxin Kong; Yongchao Song; Sheng Long; Juntao Liu (Future Gener. Comput. Syst., 2024)

SteadySketch: A High-Performance Algorithm for Finding Steady Flows in Data Streams. - Zhuochen Fan; Xiangyuan Wang; Xiaodong Li; Jiarui Guo; Wenrui Liu; Haoyu Li; Sheng Long; Zheng Zhong; Tong Yang 003; Xuebin Chen; Bin Cui 001 (IEEE/ACM Trans. Netw., 2024)

Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization. - Sheng Long; Angelos Chatzimparmpas; Emma Alexander; Matthew Kay 001; Jessica Hullman (CHI, 2025)

The benefit of prediction: Enabling collaboration of system of systems with learning. - Hao Yuan; Sheng Long; Bangbang Ren; Ruozhe Li; Tao Chen 013; Xueshan Luo (Expert Syst. Appl., 2025)

DPSNet: A Detail Perception Synergistic Network for Camouflaged Object Detection. - Xiaofei Li; Sheng Long; Jiaxin Yang; Jun Lei 001; Shuohao Li; Jun Zhang 067; Laurent D. Cohen (IEEE Trans. Instrum. Meas., 2025)