Scholar

Hang Zhao

Google Scholar ID: XorxLqcAAAAJ

Wuhan University

Embodied AIBin Packing Problem

Citations & Impact

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Citations

480

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i10-index

Publications

Co-authors

list available

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Publications

11 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

Recipient of the Hubei Province Postdoctoral Top Talent Introduction Project; research on the industrial packing robot accepted by IJRR and deployed at Deli Smart Logistics Park; recipient of the National Natural Science Foundation of China (Category C) for Young Scientists; honored as Outstanding Graduate of Hunan Province; received funding from the Ministry of Human Resources and Social Security's 'Boshin Plan'; paper 'Learning Practically Feasible Policies for Online 3D Bin Packing' selected as Outstanding Paper of the Year (Two-Year Hot Paper) by Science China Information Sciences; awarded the Outstanding Poster Award at China3DV, ranking first among 100 participants; recipient of the National Scholarship for Ph.D. students; code nominated for the Outstanding Graphics Open Source Project of 2023 by the CAD&CG Technical Committee of CCF; research on irregular object packing accepted by ACM TOG; recipient of the Lingdi Scholarship; work on continuous domain packing accepted at ICLR 2022; honored as Outstanding Graduate of Beijing; recipient of the National Scholarship for undergraduate students.

Research Experience

Currently a postdoctoral researcher at Wuhan University, completed undergraduate studies at Beijing Institute of Technology, and was a visiting researcher at LAMDA group, Nanjing University. Research projects include an intelligent assembly system for automobile doors and an industrial packing robot.

Education

Ph.D. in Computer Science from NUDT in 2025, supervised by Professor Kai Xu; Bachelor's degree from Beijing Institute of Technology; Visiting Researcher at LAMDA group, Nanjing University, under the guidance of Professors Zhi-Hua Zhou and Yang Yu, recommended by Professor Xin Xu, from June 2021 to March 2024.

Background

Research Interests: Industrial Embodied Intelligence, Reinforcement Learning, Combinatorial Optimization; Professional Field: Computer Science; Brief Introduction: Currently a postdoctoral researcher at Wuhan University, collaborating with Professor Kai Xu from NUDT.

Miscellany

Recruiting PhD, Msc, and visiting students for research in embodied intelligence.

Co-authors

5 total