Projects per year
Personal profile
Research interests
Computer Science / Information Technology - Artificial intelligence
Computer Science / Information Technology - Programming languages
Electronic & Computer Engineering - Robotics
Physics & Astronomy - Multi-agent systems
Business & Economics - Game theory and social choice theory
Computer Science / Information Technology - Programming languages
Electronic & Computer Engineering - Robotics
Physics & Astronomy - Multi-agent systems
Business & Economics - Game theory and social choice theory
Position Held
Program Director of MSc in Information Technology
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Related documents
Education/Academic qualification
PhD in Computer Science, PhD, Stanford University
1991
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Pathfinding and task assignments for robot swarms in warehouses
LIN, F. (PI)
16/04/24 → 15/04/25
Project: Research
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Deep reinforcement learning in multi-agent incomplete information games
LIN, F. (PI) & WANG, S. (CoI)
1/06/19 → 30/11/20
Project: Research
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HKUST-Xiao-i Joint Laboratory on Machine Learning and Cognitive Reasoning
MAK, B. K. W. (CoI), YEUNG, D. Y. (CoI), LIN, F. (PI), CHEN, L. (CoI) & ZHANG, N. L. (CoI)
1/06/19 → 31/05/22
Project: Research
Research output
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Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems
PAN, Y., LIU, R., CHEN, Y., CAO, Z. & LIN, F., May 2025.Research output: Contribution to conference › Conference Paper › peer-review
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Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
PAN, Y., CAO, Z., Gu, C., Liu, L., Zhao, P., CHEN, Y. & LIN, F., 2025.Research output: Contribution to conference › Conference Paper › peer-review
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SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization
Song, J. & Lin, F., Feb 2025.Research output: Contribution to conference › Conference Paper › peer-review
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On Polynomial Expressions with C-Finite Recurrences in Loops with Nested Nondeterministic Branches
Wang, C. & Lin, F., 2024, Computer Aided Verification - 36th International Conference, CAV 2024, Proceedings. Gurfinkel, A. & Ganesh, V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 409-430 22 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14681 LNCS).Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review
Open Access2 Citations (Scopus) -
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing
Pan, Y., Chen, Y. & Lin, F., Feb 2023, NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing Systems. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, p. 51926-51954 2262. (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review
7 Citations (Scopus)