About me
I am a Ph.D. candidate in Computer Science at University of Southern California. I am co-advised by Professor Bistra Dilkina and Professor Sven Koenig.
In 2019, I received my B.E. in computer science from Yao Class at Tsinghua University.
From May to December in 2022, I was a research scientist intern at Meta AI, FAIR, where I worked closely with Benoit Steiner and Yuandong Tian. In Summer 2021, I was a research scientist intern at Amazon Robotics where I worked with Vikas Shivashankar. In Spring 2018, I was a research intern at Carneige Mellon University advised by Professor Fei Fang. In Summer 2018, I was a research intern at The University of Hong Kong advised by Professor Zhiyi Huang.
My research interests lie in artificial intelligence, with a focus on multi-agent systems, combinatorial optimization, machine learning, computational game theory and computational sustainability.
News
- [2024.08] I defended my thesis on Improving Decision-Making in Search Algorithms with Machine Learning for Combinatorial Optimizations.
- [2024.07] Our paper on using contrastive learning for backdoor predictions for MILPs has been accepted to ECAI 2024.
- [2024.06] We released Distributional MIPLIB, a multi-domain library of problem distributions for advancing machine learning-guided mixed integer linear programming solving.
- [2024.05] Our papers ConPaS and GenCo have been accepted to ICML 2024.
- [2023.12] Our work BALANCE, a bandit-based Large Neighborhood Search for MAPF, is accepted to AAAI 2024.
- [2023.10] I gave a research talk on neural combinatorial optimization at The D.E. Shaw Group.
- [2023.09] I passed my PhD thesis proposal!
- [2023.09] Our work with FAIR, LANCER: Learning Decision Losses for Mathematical Optimization Under Partial Information, is accepted to NeurIPS 2023!
- [2023.07] Our SurCo paper won the Outstanding Paper Award at the ICML 2023 SODS Workshop.
- [2023.07] Our paper on solving large scale planning problems in automated warehouses is named the Best Student Paper Runner-Up at ICAPS-2023.
- [2023.04] Our papers on ML-guided optimization for mixed integer programs and non-linear combinatorial optimization with Facebook AI Research are accepted to ICML-2023.
- [2023.03] Our works on using ML for combinatorial optimizations are presented at the IPAM Artificial Intelligence and Discrete Optimization Workshop. The recordings can be found on YouTube: Bistra’s presentation, Yuandong’s presentation. I also presented a poster which is a summary of my work on ML-guided multi-agent path finding.
- [2023.02] Our paper with Amazon Robotics on solving large-scale planning problems in automated warehouses is accepted to ICAPS-2023. I also presented this work at AAAI-23 Workshop on Multi-Agent Path Finding.
- [2023.01] Our paper with Facebook AI Research on applying large neighborhood search to solve integer linear programs is accepted to CPAIOR-2023. We discovered a simple yet effective destroy heuristic based on the LP relaxation of Local Branching.
- [2022.10] I presented my work on ML-guided multi-agent path finding at INFORMS Annual Meeting 2022.
- [2022.08] I started a new position as a student researcher at Meta AI, FAIR.
Show more
- [2022.07] I presented my work with Amazon Robotics on [Deadline Aware Multi-Agent Tour Planning](https://hsi-workshop.github.io/hsi-2022-camera-ready/Deadline-Aware_Multi-Agent_Tour_Planning.pdf) at [HSI Workshop 2022 (in conjunction with IJCAI-ECAI 2022)](https://hsi-workshop.github.io/program.html).
- [2022.05] Undergrad student Shuyang Zhang, whom I co-advised with [Jiaoyang Li](https://jiaoyangli.me/) won the USC Outstanding CS Undergraduate Research Award. We published a paper at SoCS-22 on learning priority orders for agents in path planning.
- [2022.04] My research on Enhancing Seismic Resilient Water Pipe Networks is selected for oral presentation at the Fourteenth Annual Annenberg Graduate Fellowship Research and Creative Project Symposium. Only six submissions were selected!
- [2022.03] I passed the Qualification Exam and now I am a Ph.D. candidate!
- [2021.12] Our paper on ML-guided large neighborhood search for MAPF has been accepted to [AAAI 2022](https://aaai.org/Conferences/AAAI-22/).
- [2021.11] I am joining Facebook AI Research (FAIR) as a research intern next May.
- [2021.08] I finished my 3-month research internship at Amazon Robotics.
- [2021.04] Our team won 7th place out of 50 teams and received a $1,000 prize in Terminal Live (West Coast Regional), which is a games-based AI & coding competition hosted by Citadel LLC and Citadel Securities].
- [2021.04] I won a Second Prize of $500 at the Thirteenth Annual Annenberg Graduate Fellowship Research and Creative Project Symposium. I will be presenting my work on "How and When to Follow Tips: Using Game Theory for Multi-Agent Communication and Coordination in Wildlife Conservation".
- [2020.12] A paper accepted to AAMAS 2021.
- [2020.12] A virtual talk at Learning Meets Combinatorial Algorithms Workshop at NeurIPS 2020. [2020.12] A paper accepted to AAAI 2021. </li>
- [2020.11] A virtual talk at INFORMS 2020 session "Machine Learning and Discrete Optimization".
- [2020.07] A virtual talk at 2020 Harvard CRCS AI for Social Good Workshop.
- [2020.06] A virtual talk at COMPASS 2020.
- [2020.05] A virtual talk at AAMAS 2020.
- [2020.05] A paper accepted to COMPASS 2020.
- [2020.04] A paper accepted to IJCAI 2020.
- [2020.03] A talk at Harvard CRCS Workshop on AI for Social Impact.
- [2020.01] A paper accepted to AAMAS 2020.
- [2019.08] Joining USC as a Ph.D. student!