Sheng Long

According to our database, Sheng Long authored at least 15 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

DPSNet: A Detail Perception Synergistic Network for Camouflaged Object Detection.

Xiaofei Li, Sheng Long, Jiaxin Yang, Jun Lei, Shuohao Li, Jun Zhang, Laurent D. Cohen

IEEE Trans. Instrum. Meas., 2025

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, Xuebin Chen, Bin Cui

IEEE/ACM Trans. Netw., December, 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

Feature Balance Method for Multi-modal Entity Alignment.

Wei Chen, Xiaofei Li, Sheng Long, Jun Lei, Shuohao Li, Jun Zhang

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Regulation of Algorithmic Collusion.

Jason D. Hartline, Sheng Long, Chenhao Zhang

Proceedings of the Symposium on Computer Science and Law, 2024

To Cut or Not To Cut? A Systematic Exploration of Y-Axis Truncation.

Sheng Long, Matthew Kay

Proceedings of the CHI Conference on Human Factors in Computing Systems, 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

Proceedings of the IEEE Evaluation and Beyond, 2024

Old Wine in a New Bottle? Analysis of Visual Lineups with Signal Detection Theory Position paper.

Sheng Long, Matthew Kay

Proceedings of the IEEE Evaluation and Beyond, 2024

On the Convergence of an Adaptive Momentum Method for Adversarial Attacks.

Sheng Long, Wei Tao, Shuohao Li, Jun Lei, Jun Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SketchINT: Empowering INT With TowerSketch for Per-Flow Per-Switch Measurement.

Kaicheng Yang, Sheng Long, Qilong Shi, Yuanpeng Li, Zirui Liu, Yuhan Wu, Tong Yang, Zhengyi Jia

IEEE Trans. Parallel Distributed Syst., November, 2023

Adapting Step-size: A Unified Perspective to Analyze and Improve Gradient-based Methods for Adversarial Attacks.

Wei Tao, Lei Bao, Sheng Long, Gaowei Wu, Qing Tao

CoRR, 2023

AAsclepius: Monitoring, Diagnosing, and Detouring at the Internet Peering Edge.

Kaicheng Yang, Yuanpeng Li, Sheng Long, Tong Yang, Ruijie Miao, Yikai Zhao, Chaoyang Ji, Penghui Mi, Guodong Yang, Qiong Xie, Hao Wang, Yinhua Wang, Bo Deng, Zhiqiang Liao, Chengqiang Huang, Yongqiang Yang, Xiang Huang, Wei Sun, Xiaoping Zhu

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

SteadySketch: Finding Steady Flows in Data Streams.

Xiaodong Li, Zhuochen Fan, Haoyu Li, Zheng Zhong, Jiarui Guo, Sheng Long, Tong Yang, Bin Cui

Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Screening with Disadvantaged Agents.

Hedyeh Beyhaghi, Modibo K. Camara, Jason D. Hartline, Aleck C. Johnsen, Sheng Long

Proceedings of the 4th Symposium on Foundations of Responsible Computing, 2023

2021

The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods.

Wei Tao, Sheng Long, Gaowei Wu, Qing Tao

Proceedings of the 9th International Conference on Learning Representations, 2021