Shengyu Feng

According to our database, Shengyu Feng authored at least 19 papers between 2006 and 2026.

Collaborative distances:

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

2026

Alternative mixed integer linear programming optimization for joint job scheduling and data allocation in grid computing.

Shengyu Feng, Jaehyung Kim, Yiming Yang, Joseph Boudreau, Tasnuva Chowdhury, Adolfy Hoisie, Raees Khan, Ozgur O. Kilic, Scott Klasky, Tatiana Korchuganova, Paul Nilsson, Verena Ingrid Martinez Outschoorn, David Keetae Park, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Sairam Sri Vatsavai, Wei Yang, Shinjae Yoo, Tadashi Maeno, Alexei Klimentov

Future Gener. Comput. Syst., 2026

2025

Machine Learning-Driven Predictive Resource Management in Complex Science Workflows.

Tasnuva Chowdhury, Tadashi Maeno, Fatih Furkan Akman, Joseph Boudreau, Sankha Dutta, Shengyu Feng, Adolfy Hoisie, Kuan-Chieh Hsu, Raees Khan, Jaehyung Kim, Ozgur O. Kilic, Scott Klasky, Alexei Klimentov, Tatiana Korchuganova, Verena Ingrid Martinez Outschoorn, Paul Nilsson, David Keetae Park, Norbert Podhorszki, Yihui Ren, John Rembrandt Steele, Frédéric Suter, Sairam Sri Vatsavai, Torre J. Wenaus, Wei Yang, Yiming Yang, Shinjae Yoo

CoRR, September, 2025

SPL-LNS: Sampling-Enhanced Large Neighborhood Search for Solving Integer Linear Programs.

Shengyu Feng, Zhiqing Sun, Yiming Yang

CoRR, August, 2025

Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures.

Ozgur O. Kilic, David Keetae Park, Yihui Ren, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie

CoRR, June, 2025

A Comprehensive Evaluation of Contemporary ML-Based Solvers for Combinatorial Optimization.

Shengyu Feng, Weiwei Sun, Shanda Li, Ameet Talwalkar, Yiming Yang

CoRR, May, 2025

CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization.

Weiwei Sun, Shengyu Feng, Shanda Li, Yiming Yang

CoRR, April, 2025

Regularized Langevin Dynamics for Combinatorial Optimization.

Shengyu Feng, Yiming Yang

CoRR, February, 2025

Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo.

Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch.

Shengyu Feng, Yiming Yang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

ArieL: Adversarial Graph Contrastive Learning.

Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong

ACM Trans. Knowl. Discov. Data, May, 2024

AI Surrogate Model for Distributed Computing Workloads.

David Keetae Park, Yihui Ren, Ozgur O. Kilic, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

2023

Concept Discovery for Fast Adapatation.

Shengyu Feng, Hanghang Tong

CoRR, 2023

Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs.

Shengyu Feng, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar, Subarna Tripathi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Concept Discovery for Fast Adaptation.

Shengyu Feng, Hanghang Tong

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

Adversarial Graph Contrastive Learning with Information Regularization.

Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning.

Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Batch Reinforcement Learning Through Continuation Method.

Yijie Guo, Shengyu Feng, Nicolas Le Roux, Ed H. Chi, Honglak Lee, Minmin Chen

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

2020

Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards.

Yijie Guo, Jongwook Choi, Marcin Moczulski, Shengyu Feng, Samy Bengio, Mohammad Norouzi, Honglak Lee

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2006

Theoretical study on the isomeric structures and the stability of silylenoid (Tsi)Cl2SiLi (Tsi = C(SiMe3)3).

Ju Xie, Dacheng Feng, Shengyu Feng

J. Comput. Chem., 2006