Publications

• 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, Yiming Yang
  • The second AI for MATH Workshop at ICML 2025.
• CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization [pdf][data]
  • Weiwei Sun*, Shengyu Feng*, Shanda Li, Yiming Yang
  • Preprint
• Regularized Langevin Dynamics for Combinatorial Optimization [pdf][code]
  • Shengyu Feng, 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, Yiming Yang
  • Annual AAAI Conference on Artificial Intelligence (AAAI), 2025. (Oral)
• 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, 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.