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ORCIDShengyu Feng
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2020 – today
- 2026
[j3]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:
Alternative mixed integer linear programming optimization for joint job scheduling and data allocation in grid computing. Future Gener. Comput. Syst. 175: 108075 (2026)- 2025
- [c13]Shengyu Feng, Yiming Yang:
SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch. AAAI 2025: 11212-11220 - [c12]Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang:
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo. ICLR 2025 - [c11]Shengyu Feng, Yiming Yang:
Regularized Langevin Dynamics for Combinatorial Optimization. ICML 2025 - [c10]Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Sankha Dutta, Yihui Ren, David K. Park, Tatiana Korchuganova, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Ahmad Khan, Jaehyung Kim, Norbert Podhorszki, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie:
Data Management System Analysis for Distributed Computing Workloads. SC Workshops 2025: 279-289 - [c9]Sankha Dutta, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sairam Sri Vatsavai, Kuan-Chieh Hsu, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie:
Error Analysis of Globally Distributed Workflow Management System. SC Workshops 2025: 968-976 - [c8]Sairam Sri Vatsavai, Raees Khan Ahmed, Kuan-Chieh Hsu, Ozgur O. Kilic, Yihui Ren, David K. Park, Paul Nilsson, Tania Korchuganova, Sankha Dutta, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Fatih Furkan Akman, Adolfy Hoisie, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, John Rembrandt Steele, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov:
CGSim: A Simulation Framework for Large Scale Distributed Computing Environment. SC Workshops 2025: 1478-1483 - [i18]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:
Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing. CoRR abs/2502.00261 (2025) - [i17]Shengyu Feng, Yiming Yang:
Regularized Langevin Dynamics for Combinatorial Optimization. CoRR abs/2502.00277 (2025) - [i16]Weiwei Sun, Shengyu Feng, Shanda Li, Yiming Yang:
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization. CoRR abs/2504.04310 (2025) - [i15]Shengyu Feng, Weiwei Sun, Shanda Li, Ameet Talwalkar, Yiming Yang:
A Comprehensive Evaluation of Contemporary ML-Based Solvers for Combinatorial Optimization. CoRR abs/2505.16952 (2025) - [i14]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:
Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures. CoRR abs/2506.19578 (2025) - [i13]Shengyu Feng, Zhiqing Sun, Yiming Yang:
SPL-LNS: Sampling-Enhanced Large Neighborhood Search for Solving Integer Linear Programs. CoRR abs/2508.16171 (2025) - [i12]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:
Machine Learning-Driven Predictive Resource Management in Complex Science Workflows. CoRR abs/2509.11512 (2025) - [i11]Sairam Sri Vatsavai, Raees Khan, Kuan-Chieh Hsu, Ozgur O. Kilic, Paul Nilsson, Tatiana Korchuganova, David Keetae Park, Sankha Dutta, Yihui Ren, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie:
CGSim: A Simulation Framework for Large Scale Distributed Computing Environment. CoRR abs/2510.00822 (2025) - [i10]Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sankha Dutta, Yihui Ren, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie:
Data Management System Analysis for Distributed Computing Workloads. CoRR abs/2510.00828 (2025) - [i9]Shengyu Feng, Yun He, Shuang Ma, Beibin Li, Yuanhao Xiong, Songlin Li, Karishma Mandyam, Julian Katz-Samuels, Shengjie Bi, Licheng Yu, Hejia Zhang, Karthik Abinav Sankararaman, Han Fang, Riham Mansour, Yiming Yang, Manaal Faruqui:
Dual-Weighted Reinforcement Learning for Generative Preference Modeling. CoRR abs/2510.15242 (2025) - [i8]Yun He, Wenzhe Li, Hejia Zhang, Songlin Li, Karishma Mandyam, Sopan Khosla, Yuanhao Xiong, Nanshu Wang, Xiaoliang Peng, Beibin Li, Shengjie Bi, Shishir G. Patil, Qi Qi, Shengyu Feng, Julian Katz-Samuels, Richard Yuanzhe Pang, Sujan Gonugondla, Hunter Lang, Yue Yu, Yundi Qian, Maryam Fazel-Zarandi, Licheng Yu, Amine Benhalloum, Hany Awadalla, Manaal Faruqui:
AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following. CoRR abs/2511.10507 (2025) - 2024
- [j2]Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
ArieL: Adversarial Graph Contrastive Learning. ACM Trans. Knowl. Discov. Data 18(4): 82:1-82:22 (2024) - [c7]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:
AI Surrogate Model for Distributed Computing Workloads. SC Workshops 2024: 79-86 - [i7]Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang:
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo. CoRR abs/2410.01920 (2024) - [i6]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:
AI Surrogate Model for Distributed Computing Workloads. CoRR abs/2410.07940 (2024) - [i5]Shengyu Feng, Yiming Yang:
SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch. CoRR abs/2412.15534 (2024) - 2023
- [c6]Shengyu Feng, Hanghang Tong:
Concept Discovery for Fast Adaptation. SDM 2023: 577-585 - [c5]Shengyu Feng, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar, Subarna Tripathi:
Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs. WACV 2023: 5119-5128 - [i4]Shengyu Feng, Hanghang Tong:
Concept Discovery for Fast Adapatation. CoRR abs/2301.07850 (2023) - 2022
- [c4]Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong:
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning. CIKM 2022: 894-904 - [c3]Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
Adversarial Graph Contrastive Learning with Information Regularization. WWW 2022: 1362-1371 - [i3]Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
Adversarial Graph Contrastive Learning with Information Regularization. CoRR abs/2202.06491 (2022) - [i2]Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
ARIEL: Adversarial Graph Contrastive Learning. CoRR abs/2208.06956 (2022) - 2021
- [c2]Yijie Guo, Shengyu Feng, Nicolas Le Roux, Ed H. Chi, Honglak Lee, Minmin Chen:
Batch Reinforcement Learning Through Continuation Method. ICLR 2021 - [i1]Shengyu Feng, Subarna Tripathi, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar:
Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs. CoRR abs/2112.09828 (2021) - 2020
- [c1]Yijie Guo, Jongwook Choi, Marcin Moczulski, Shengyu Feng, Samy Bengio, Mohammad Norouzi, Honglak Lee:
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards. NeurIPS 2020
2000 – 2009
- 2006
- [j1]Ju Xie, Dacheng Feng, Shengyu Feng:
Theoretical study on the isomeric structures and the stability of silylenoid (Tsi)Cl2SiLi (Tsi = C(SiMe3)3). J. Comput. Chem. 27(8): 933-940 (2006)
Coauthor Index
aka: Tania Korchuganova
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last updated on 2026-02-05 23:48 CET by the dblp team
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