Shengyu Feng

35 papers A* 7A 3Journal 21Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Alternative mixed integer linear programming optimization for joint job scheduling and data allocation in grid computing.
Future Gener. Comput. Syst.
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
2026 A* conf
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization.
AAAI
Weiwei Sun, Shengyu Feng, Shanda Li, Yiming Yang
2025 J jnl
A Comprehensive Evaluation of Contemporary ML-Based Solvers for Combinatorial Optimization.
CoRR
Shengyu Feng, Weiwei Sun, Shanda Li, Ameet Talwalkar, Yiming Yang
2025 J jnl
AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following.
CoRR
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
2025 J jnl
Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing.
CoRR
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
2025 — conf
CGSim: A Simulation Framework for Large Scale Distributed Computing Environment.
SC Workshops
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
2025 J jnl
CGSim: A Simulation Framework for Large Scale Distributed Computing Environment.
CoRR
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
2025 J jnl
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization.
CoRR
Weiwei Sun, Shengyu Feng, Shanda Li, Yiming Yang
2025 — conf
Data Management System Analysis for Distributed Computing Workloads.
SC Workshops
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
2025 J jnl
Data Management System Analysis for Distributed Computing Workloads.
CoRR
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
2025 J jnl
Dual-Weighted Reinforcement Learning for Generative Preference Modeling.
CoRR
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
2025 — conf
Error Analysis of Globally Distributed Workflow Management System.
SC Workshops
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
2025 J jnl
Machine Learning-Driven Predictive Resource Management in Complex Science Workflows.
CoRR
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
2025 A* conf
Regularized Langevin Dynamics for Combinatorial Optimization.
ICML
Shengyu Feng, Yiming Yang
2025 J jnl
Regularized Langevin Dynamics for Combinatorial Optimization.
CoRR
Shengyu Feng, Yiming Yang
2025 A* conf
SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch.
AAAI
Shengyu Feng, Yiming Yang
2025 J jnl
SPL-LNS: Sampling-Enhanced Large Neighborhood Search for Solving Integer Linear Programs.
CoRR
Shengyu Feng, Zhiqing Sun, Yiming Yang
2025 A* conf
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo.
ICLR
Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang
2025 J jnl
Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures.
CoRR
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
2024 — conf
AI Surrogate Model for Distributed Computing Workloads.
SC Workshops
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
2024 J jnl
AI Surrogate Model for Distributed Computing Workloads.
CoRR
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
2024 J jnl
ArieL: Adversarial Graph Contrastive Learning.
ACM Trans. Knowl. Discov. Data
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
2024 J jnl
SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch.
CoRR
Shengyu Feng, Yiming Yang
2024 J jnl
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo.
CoRR
Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang
2023 J jnl
Concept Discovery for Fast Adapatation.
CoRR
Shengyu Feng, Hanghang Tong
2023 A conf
Concept Discovery for Fast Adaptation.
SDM
Shengyu Feng, Hanghang Tong
2023 A conf
Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs.
WACV
Shengyu Feng, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar, Subarna Tripathi
2022 J jnl
ARIEL: Adversarial Graph Contrastive Learning.
CoRR
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
2022 A* conf
Adversarial Graph Contrastive Learning with Information Regularization.
WWW
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
2022 J jnl
Adversarial Graph Contrastive Learning with Information Regularization.
CoRR
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
2022 A conf
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning.
CIKM
Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong
2021 A* conf
Batch Reinforcement Learning Through Continuation Method.
ICLR
Yijie Guo, Shengyu Feng, Nicolas Le Roux, Ed H. Chi, Honglak Lee, Minmin Chen
2021 J jnl
Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs.
CoRR
Shengyu Feng, Subarna Tripathi, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar
2020 A* conf
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards.
NeurIPS
Yijie Guo, Jongwook Choi, Marcin Moczulski, Shengyu Feng, Samy Bengio, Mohammad Norouzi, Honglak Lee
2006 J jnl
Theoretical study on the isomeric structures and the stability of silylenoid (Tsi)Cl2SiLi (Tsi = C(SiMe3)3).
J. Comput. Chem.
Ju Xie, Dacheng Feng, Shengyu Feng