Publications
- Machine Learning-Driven Predictive Resource Management in Complex Science Workflows [pdf]
- 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 K. Park, Norbert Podhorszki, Yihui Ren, John Rembrandt Steele, Frederic Suter, Sairam Sri Vatsavai, Torre Wenaus, Wei Yang, Yiming Yang, and Shinjae Yoo
- International Journal of Modern Physicas A (IJMPA)
- Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following [pdf]
- Yun He*, Wenzhe Li*, Hejia Zhang, Songlin Li, Karishma Mandyam, Sopan Khosla, Yuanhao Xiong, Nanshu Wang, Selina 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, and Manaal Faruqui.
- Preprint
- CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization [pdf][data]
- Weiwei Sun*, Shengyu Feng*, Shanda Li, and Yiming Yang
- Annual AAAI Conference on Artificial Intelligence (AAAI), 2026
- Dual-Weighted Reinforcement Learning for Generative Preference Modeling [pdf]
- Shengyu Feng, Yun He, Shuang Ma, Beibin Li, Yuanhao Xiong, Vincent Li, Karishma Mandyam, Julian Katz-Samuels, Shengjie Bi, Licheng Yu, Hejia Zhang, Karthik Abinav Sankararaman, Han Fang, Riham Mansour, Yiming Yang, and Manaal Faruqui
- Preprint
- Error Analysis of Globally Distributed Workflow Management System
- 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, Frederic Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, and Adolfy Hoisie
- Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware, SC25
- Data Management System Analysis for Distributed Computing Workloads [pdf]
- 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, Frederic Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, and Adolfy Hoisie.
- Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD), SC25.
- CGSim: A Simulation Framework for Large Scale Distributed Computing Environment [pdf]
- Sairam Sri Vatsavai, Raees Khan, Kuan-Chieh Hsu, Ozgur O. Kilic, Paul Nilsson, Tatiana Korchuganova, David K. Park, Sankha Dutta, Yihui Ren, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez, Norbert Podhorszki, Frederic Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, and Adolfy Hoisie.
- Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS), SC25 (Best short paper award)
- Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing [pdf]
- 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 K. Park, Norbert Podhorszki, Yihui Ren, Frederic Suter, Sairam Sri Vatsavai, Wei Yang, Shinjae Yoo, Tadashi Maeno, and Alexei Klimentov
- Future Generation and Computer Systems (FGCS)
- A Comprehensive Evaluation of Contemporary Machine-Learning-Based Solvers for Combinatorial Optimization [pdf][data]
- Shengyu Feng*, Weiwei Sun*, Shanda Li, Ameet Talwalker, and Yiming Yang
- AI for MATH Workshop, ICML 2025
- Regularized Langevin Dynamics for Combinatorial Optimization [pdf][code]
- Shengyu Feng and Yiming Yang
- International Conference on Machine Learning (ICML), 2025
- Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo [pdf][code]
- Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, and Yiming Yang
- International Conference on Learning Representations (ICLR), 2025
- SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch [pdf][code]
- Shengyu Feng and Yiming Yang
- Annual AAAI Conference on Artificial Intelligence (AAAI), 2025 (Oral)
- AI Surrogate Model for Distributed Computing Workloads
- David K. 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, Frederic Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, and Adolfy Hoisie
- Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S), SC24
- ARIEL: Adversarial Graph Contrastive Learning [pdf][code]
- Shengyu Feng, Baoyu Jing, Yada Zhu, and Hanghang Tong
- ACM Transactions on Knowledge Discovery from Data (TKDD)
- Concept Discovery for Fast Adaptation [pdf]
- Shengyu Feng and Hanghang Tong
- SIAM International Conference on Data Mining (SDM), 2023
- Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs [pdf][code]
- Shengyu Feng, Subarna Tripathi, Hesham Mostafa, Marcel Nassar, and Somdeb Majumdar
- IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
- X-GOAL: Multiplex Graph Prototypical Contrastive Learning [pdf]
- Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, and Hanghang Tong
- ACM International Conference on Information and Knowledge Management (CIKM), 2022
- Adversarial Graph Contrastive Learning with Information Regularization [pdf][code]
- Shengyu Feng, Baoyu Jing, Yada Zhu, and Hanghang Tong
- ACM Web Conference (WWW), 2022
- Batch Reinforcement Learning through Continuation Method [pdf]
- Yijie Guo, Shengyu Feng, Nicolas Le Roux, Ed Chi, Honglak Lee, and Minmin Chen
- International Conference on Learning Representations (ICLR), 2021
- Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards [pdf]
- Yijie Guo, Jongwook Choi, Marcin Moczulski, Shengyu Feng, Samy Bengio, Mohammad Norouzi, and Honglak Lee
- Neural Information Processing Systems (NeurIPS), 2020
