About Me

Hi, I am a Postdoctoral Associate at MIT’s Laboratory for Information and Decision Systems (LIDS) since Aug 2024, mentored by Prof. Cathy Wu. Previously, I was a Research Fellow at Nanyang Technological University (NTU), supervised by Prof. Jie Zhang. I obtained my Ph.D. in Industrial Systems Engineering at National University of Singapore (NUS) in 2024, where I am honored to be advised by Prof. Yeow Meng Chee.

I work at the intersection of AI and Optimization, developing next-generation AI-driven solutions to tackle the growing complexity of today’s most challenging problems. I have published 40+ papers in top-tier conferences and journals (multiple oral and spotlight presentations), serve as an Area Chair (AC) for NeurIPS, ICLR, and ICML, and have received Top AC and multiple Best Reviewer awards. I also collaborate closely with industry partners including NVIDIA, Amazon, Microsoft Research, Symbotic, Routific and Grab (SG).

💡 Research Interests

My research focuses on AI for Optimization and Decision Intelligence, which asks: how can AI learn to optimize complex decision-making systems at scale towards decision intelligence?

Research Directions 🔥

  • Neural Combinatorial Optimization (NCO) - developing novel AI methodological frameworks and paradigms for hard combinatorial optimization problems;
  • Learning-Guided Optimization (LGO) - leveraging AI to boost Operations Research (OR) algorithms for killer applications, uniting OR’s reliability with AI’s intelligence;
  • Agentic AI for Accelerating Research - building trustworthy, self-evolving AI agents to automate and accelerate research, driving scientific discovery at scale.

Research Keywords (current and future work) 🔥

  • AI: Reinforcement Learning, Representation Learning, LLM Agents, Self-Evolving Agents, Recursive Self-Improvement (RSI), Trustworthy and Interpretable AI;
  • Optimization: NCO, LGO, Mixed-Integer Linear Programming (MILP), Constrained & Stochastic Optimization, GPU-Accelerated Optimization, Agent-based Simulation;
  • Application: Operations Automation (e.g., manufacturing, warehouses, robotics), Efficient AI Infrastructure (e.g., data centers), Resilient Logistics Networks (e.g., ports, airports, supply chains), Sustainable Cities (e.g., cooling, congestion pricing, transit planning).

📄 Selected Publications

Representative publications († corresponding author). See all publications here.

L2Seg overview figure
Learning to Segment for Vehicle Routing Problems
Wenbin Ouyang, Sirui Li, Yining Ma†, Cathy Wu
International Conference on Learning Representations (ICLR), 2026
LGOVRP
L-RH-PP warehouse robots
Learning-Guided Prioritized Planning for Lifelong Multi-Agent Path Finding in Warehouse Automation
Han Zheng, Yining Ma†, Brandon Araki, Jingkai Chen, Cathy Wu
Journal of Artificial Intelligence Research (JAIR), 2026
LGOMAPF
EPB overview figure
Interpreting Neural Combinatorial Optimization via Evolving Programmatic Bottlenecks
Haocheng Duan, Yuxin Guo, Jieyi Bi, Anqi Xie, Sirui Li, Yining Ma†, Cathy Wu
Advances in Neural Information Processing Systems (NeurIPS), 2026
LLMNCOInterpretability
CaR overview figure
Towards Efficient Constraint Handling in Neural Solvers for Routing Problems
Jieyi Bi, Zhiguang Cao, Jianan Zhou, Wen Song, Yaoxin Wu, Jie Zhang, Yining Ma†, Cathy Wu
International Conference on Learning Representations (ICLR), 2026
NCOConstraint Handling
NeuOpt overview figure
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt
Yining Ma, Zhiguang Cao, Yeow Meng Chee
Advances in Neural Information Processing Systems (NeurIPS), 2023
NCOVRP
DACT overview figure
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang
Advances in Neural Information Processing Systems (NeurIPS), 2021
NCOVRP

🎉 News

I'm on the job market! Please contact me if you know of any suitable positions!
  • [10/2026] I will serve as an Area Chair for ICML 2027.
  • [10/2026] 🎉 I am recognized as a Top Area Chair for NeurIPS 2026!
  • [10/2026] I will organize the Workshop on Trustworthy AI for CO at ACM TRUST 2027.
  • [09/2026] Two papers are accepted by NeurIPS 2026: EPB (AI agents for NCO interpretability) and MixRoute (NCO generalization).
  • [09/2026] 🎉 I am awarded the OpenAI ChatGPT for Academic Researchers grant.
  • [08/2026] 🎉 I am awarded the Lambda Research grant.
  • [08/2026] I will serve as an Area Chair for ICLR 2027.
  • [07/2026] I will serve as a Senior Program Committee (SPC) member for AAAI 2027.
  • [06/2026] Two papers are accepted as Orals at KDD 2026: AlphaOPT (AI agent for MILP formulation) and DyNACO (LGO for large-scale ACO).
  • [05/2026] 🔥 Our LLM RFT work METIS is deployed in Amazon Nova Forge!
  • [04/2026] I gave a guest lecture on “Optimization in the Era of AI” at MIT (see slides).
  • [03/2026] 🎊 Our L-RH-PP is featured in MIT News!
  • [03/2026] I will serve as an Area Chair for NeurIPS 2026.
  • [02/2026] Our L2Seg is selected as an Oral at ICLR 2026!
  • [01/2026] Three papers are accepted by ICLR 2026: L2Seg (LGO for accelerating routing solvers), CaR (NCO constraint handling), and RADAR (NCO asymmetric representation).
  • [01/2026] I am awarded the MIT Kaufman Teaching Certificate (see reference letter).
  • [01/2026] One paper is accepted by JAIR: L-RH-PP (LGO for resolving robot congestion in automated warehouse), in collaboration with Symbotic.
  • [10/2025] 🎉 We are awarded an AI Singapore grant with MIT, NTU, and SMU (see news).
  • [09/2025] Three papers are accepted by NeurIPS 2025: Probing NCO (NCO interpretability, Spotlight), DesignX (LGO for evolutionary algorithm design), and MetaBox-v2 (LGO benchmark for MetaBBO).
  • [09/2025] We organized the LEAD 2025 workshop (see recordings).
  • [06/2025] We released MetaBox-v2 🚀!
  • [05/2025] One paper is accepted as an Oral by KDD 2025: RL4CO (NCO library).
  • [04/2025] I will serve as an Area Chair for NeurIPS 2025.
  • [04/2025] 🎊 Our L-RHO is featured on the front page of MIT.edu (see MIT News)!
  • [12/2024] One paper is accepted as an Oral by AAAI 2025: ConfigX (LGO for evolutionary algorithm configuration).
  • [12/2024] We hosted an unofficial L2Opt workshop at NeurIPS 2024 (see photos).
  • [10/2024] I am selected as a NeurIPS 2024 Top Reviewer (main and D&B tracks)!
  • [09/2024] One paper is accepted by NeurIPS 2024: PIP (NCO constraint handling).
  • [08/2024] I joined Prof. Cathy Wu’s group at MIT!
  • [07/2024] I am selected as an ICML 2024 Best Reviewer (top 3%)!
  • [06/2024] We released RL4CO 🚀!
  • [05/2024] I was promoted to Research Fellow at NTU.
  • [02/2024] I gave a talk at MIT, hosted by Prof. Cathy Wu.
  • [02/2024] 🎓 I successfully defended my Ph.D. thesis at NUS!

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(Last updated October 2026.)