Crane Scheduling Problem with Energy Saving.
Published by
Under Review
Summary
Developed and submitted a manuscript exploring innovative solutions for crane scheduling with a focus on energy efficiency, currently under peer review.
Highly accomplished Ph.D. candidate in Computer Science with a strong foundation in theoretical computer science (TCS) and operations research (OR), specializing in algorithmic mechanism design and combinatorial optimization. Proven ability to conduct high-impact research, evidenced by peer-reviewed publications and top-tier competitive programming awards, positioning for advanced roles in research and development. Seeking to leverage expertise in complex problem-solving and algorithm development to drive innovative solutions in a challenging environment.
Research Intern
Hangzhou, Zhejiang, China
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Summary
Conducted advanced research within the Super Computing Technology department at Ant Group, focusing on optimizing complex computational problems and algorithmic solutions.
Highlights
Developed novel algorithmic approaches to enhance large-scale system efficiency, contributing to potential advancements in supercomputing capabilities.
Explored applications of combinatorial optimization techniques to complex data processing challenges, aiming to improve resource allocation and performance.
Contributed to research initiatives on scheduling problems, analyzing their impact on distributed computing environments and proposing innovative solutions.
Visiting Research Student
Hangzhou, Zhejiang, China
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Summary
Engaged in specialized research as a visiting student, collaborating on theoretical computer science problems under the guidance of leading professors.
Highlights
Collaborated on foundational research into scheduling problems with calibrations, contributing to the development of a paper accepted at ISAAC 2024.
Analyzed complex algorithmic mechanism designs, applying advanced theoretical concepts to address challenges in fair allocation and resource management.
Conducted in-depth literature reviews and experimental analyses, supporting the development of novel optimization models and theoretical frameworks.
Research Intern
Shenzhen, Guangdong, China
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Summary
Contributed to cutting-edge research projects in algorithmic design and optimization as a Research Intern, under the supervision of Prof. Minming Li.
Highlights
Assisted in the development and refinement of sophisticated algorithms for combinatorial optimization problems, enhancing research outcomes.
Analyzed the performance characteristics of various scheduling algorithms, providing critical insights for theoretical advancements.
Participated in the formulation of research hypotheses and experimental designs, contributing to the progress of ongoing academic projects.
Hong Kong, Hong Kong SAR, Hong Kong
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Summary
Participated in advanced theoretical computer science and operations research initiatives as a visiting student, under the mentorship of Prof. Minming Li.
Highlights
Contributed to research in algorithmic mechanism design, exploring innovative solutions for fair resource allocation and scheduling games.
Supported the development and analysis of optimization models, strengthening foundational understanding in complex problem domains.
Conducted rigorous mathematical proofs and simulations to validate algorithmic efficiency and theoretical soundness, advancing project goals.
Organizing Committee Member
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Summary
Contributes to the successful execution of the Universal Cup, a premier competitive programming event, by managing organizational aspects and ensuring smooth operations.
Highlights
Coordinated logistical and technical requirements for competitive programming contests, ensuring a high-quality experience for participants globally.
Collaborated with international teams to define contest rules and platforms, contributing to the standardization and fairness of the competition.
Student Coach
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Summary
Mentors and trains students for competitive programming, fostering their algorithmic problem-solving skills and preparing them for national and international competitions.
Highlights
Coached students on advanced data structures and algorithms, improving their competitive programming performance and strategic thinking.
Developed tailored training modules and practice problems, leading to enhanced team readiness for prestigious contests.
Problem Setter and Chief Judge
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Summary
Designed complex algorithmic problems and oversaw judging processes for numerous competitive programming contests, ensuring fairness and challenge.
Highlights
Authored and curated challenging algorithmic problems for major contests including ICPC Asia East Continent Online Contest (2023 I, 2024 II) and CCPC Women's Division & Vocational Division (2025).
Served as Chief Judge for multiple events such as Osijek Competitive Programming Camp (2026 Winter) and Multi-University Training Contests on HDUOJ (2023, 2024), ensuring integrity and accuracy of results.
Managed problem statements, test cases, and judging criteria for the Guangxi Collegiate Programming Contest (2021-2025), enhancing the quality and difficulty of the competition.
Student Coach
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Summary
Provided coaching and guidance to the HDU Competitive Programming Training Team, enhancing their skills and preparing them for various competitions.
Highlights
Trained students in core competitive programming concepts and advanced problem-solving strategies, contributing to their success in regional contests.
Organized practice sessions and mock competitions, fostering a collaborative learning environment and improving team cohesion.
Awarded By
International Collegiate Programming Contests (ICPC)
Awarded for exceptional performance in competitive programming at the regional level, demonstrating superior algorithmic problem-solving skills.
Awarded By
IEEEXtreme Programming Competition
Secured the Hong Kong Championship and ranked 13th globally in a prestigious international programming competition, demonstrating world-class algorithmic skills.
Awarded By
International Collegiate Programming Contests (ICPC)
Awarded for exceptional performance in competitive programming at the regional level, demonstrating superior algorithmic problem-solving skills.
Awarded By
China Collegiate Programming Contests (CCPC)
Achieved a gold medal in a highly competitive national programming contest, showcasing advanced problem-solving and coding abilities.
Awarded By
China Computer Federation
Recognized as one of the top 100 undergraduate students in China by the China Computer Federation for outstanding academic and competitive programming achievements.
Awarded By
IEEEXtreme Programming Competition
Secured the Hong Kong Championship and ranked 11th globally in a prestigious international programming competition, demonstrating world-class algorithmic skills.
Awarded By
International Collegiate Programming Contests (ICPC)
Awarded for exceptional performance in competitive programming at the regional level, demonstrating superior algorithmic problem-solving skills.
Awarded By
China Collegiate Programming Contests (CCPC)
Achieved a gold medal in a highly competitive national programming contest, showcasing advanced problem-solving and coding abilities.
Awarded By
International Collegiate Programming Contests (ICPC)
Awarded for exceptional performance in competitive programming at the regional level, demonstrating superior algorithmic problem-solving skills.
Awarded By
China Collegiate Programming Contests (CCPC)
Achieved a gold medal in a highly competitive national programming contest, showcasing advanced problem-solving and coding abilities.
Awarded By
International Collegiate Programming Contests (ICPC)
Awarded for exceptional performance in competitive programming at the regional level, demonstrating superior algorithmic problem-solving skills.
Published by
Under Review
Summary
Developed and submitted a manuscript exploring innovative solutions for crane scheduling with a focus on energy efficiency, currently under peer review.
Published by
35th International Symposium on Algorithms and Computation (ISAAC 2024)
Summary
Co-authored a paper accepted at a top-tier international symposium, presenting novel research on scheduling problems with calibrations.
Theoretical Computer Science (TCS), Operations Research (OR), Algorithmic Mechanism Design, Combinatorial Optimization, Scheduling Games, Fair Allocation, Scheduling Problems, Knapsack Problems, Algorithm Analysis, Mathematical Modeling.
Advanced Programming, Competitive Programming, Data Structures, Algorithms, Problem Solving, C++, Python.
Teaching Assistant, Curriculum Development, Student Coaching, Academic Support, Game Theory Instruction.
Organizing Committee, Problem Setting, Chief Judge, Event Coordination, Team Leadership.