Wuhan University · Software Engineering · 2027
Start from the problem itself
I am Bohan Su, an undergraduate in Software Engineering at Wuhan University. My current work spans visual representation under appearance variation, small-model structured scientific reasoning, and multi-agent systems for real tasks. I care about methods that become reproducible, analyzable, and deployable systems rather than isolated benchmark gains.
Research State
Three active research tracks
Appearance-variation vision, schema-first scientific reasoning, and multi-agent systems are moving in parallel as one coherent portfolio.
Current Output
Papers, systems, and competitions together
An ECCV 2026 submission, PEARL system progress toward EMNLP, a TPAMI survey draft, and national-level systems work define the current output.
Collaboration Fit
Best for reproducible, deployable work
I contribute most on research prototypes and systems projects that need explicit evaluation logic, engineering closure, and clear writing.
Recent Signals
Recent Updates
Research, systems work, and competition projects are moving in the same loop.
TPAMI survey main body drafted
§2–§8 of the appearance-variation ReID survey and 231 references are drafted; §1 Introduction and literature alignment are still under revision.
ECCV 2026 submission completed
Submitted Reliability-Aware 3D Geometric Injection for Universal Person Re-identification.
PEARL pipeline ready; Gate B passed
The graph_spec IR, validator, compiler, issue-list repair loop, and joint-score evaluation pipeline are in place; Gate B local checks passed and Phase 3–5 main experiments are queued.
A2A multi-agent system delivered
Built a Holos + A2A workflow with architectural agents, task agents, protocol adaptation, streaming, fallback, and observability for end-to-end demos.
Current Focus
What matters most
- Turning research claims into explicit evaluation protocols instead of loose benchmark narratives.
- Separating generation from verification so small models can produce verifiable structure reliably.
- Building agent systems that can clarify requirements, route work, and expose their own failure modes.
Main Tracks
Research Directions and Papers
I am most interested in topics that connect method design, system behavior, and evaluation logic.
Direction 01
Visual representation under appearance variation
Studying how visual evidence breaks and reorganizes under occlusion, clothing change, cross-modality, and in-the-wild viewpoints in Universal ReID, including UniGeo's reliability-aware 3D geometric injection and a broader survey-level taxonomy.
Direction 02
Schema-first structured scientific reasoning with small models
Decoupling structure learning from syntax generation and diagnosis from repair. PEARL turns ARCHE's scientific reasoning graph extraction into a validator-centered, verifiable training framework for smaller models.
Direction 03
Multi-agent systems for real tasks
Guided mobile interaction, A2A-protocol multi-agent workflows, and modular robot communication, with evaluation protocol, observability, and deployment logic treated as first-class design goals.
Reliability-Aware 3D Geometric Injection for Universal Person Re-identification
Focused on Universal ReID under occlusion, clothing change, and cross-modality. I proposed UniGeo by decoupling SMPL parameters into global shape and joint-topology representations, introducing a Reliability-Aware Gate for adaptive residual fusion between 2D visual features and 3D structural features, and validating the design with unified training, comparative experiments, ablations, gate-correlation analysis, fusion-complexity checks, and perturbation-stability verification across 9 benchmarks.
PEARL: Decoupling Generation from Verification for Small-Model Scientific Reasoning Graph Extraction
For ARCHE's Peircean scientific reasoning graph extraction task, PEARL decouples structure learning from DOT syntax generation and diagnosis from repair. I designed the graph_spec intermediate representation, validator, compiler, issue-list repair loop, and joint-score evaluation pipeline; a 4B Qwen student handles generation, while structural checking and repair are managed externally and trained with five-teacher quality-weighted SFT plus Smart Prompt.
Appearance Variations in Person Re-Identification: A Survey
Reconstructs the field through a three-branch framework of short-term, long-term, and compound appearance variations, then reorganizes existing methods through a robustness-vs-generalization lens. The long-term branch is further split into clothing state, beyond-clothing, and deployment evolution. §2–§8 and 231 references are drafted, with current attention on evaluation blind spots and metric transferability.
Hands-on Work
Project Experience
I prefer building systems that are runnable, observable, and iteratively improvable.
A4R: Guided Smartphone AI Assistant
Designed and implemented an A4R interaction scheme for ambiguous mobile requests, built 150+ real interaction samples across 6 domains and 16 apps, and used Guide, Discern, and Validate collaboration to reach a 64.68% completion rate on China Unicom real-world tasks.
A2A Protocol Multi-Agent System Development
Built a Holos-based multi-agent system on A2A v0.3.0 with GuideAgent, DiscernAgent, and 8 functional agents; completed protocol adaptation, SSE streaming response, task-fingerprint deduplication, LLM/rule fallback, and observability debugging for travel-planning and email-collaboration demos.
Modular Robot System Development
Worked on software architecture for a modular intelligent hardware platform and a dual-bus power-communication system, implementing module coordination, bus arbitration, hot-plug, and bus-merging control logic while supporting three PCB iterations and 24V industrial-environment adaptation.
Digital Legacy Interactive Exhibition System
Participated in the design and development of a 3D interaction module for digital memory preservation and virtual asset revitalization, building a Unity3D-based interactive prototype and contributing interaction logic and scene-expression design.
Background
Education and Recognition
I keep research, competitions, and systems implementation moving in parallel.
Education
Wuhan University
B.Eng. in Software Engineering, 2023.09 - 2027.06 (expected)
- GPA 3.74 / 4.0
- Research interests: visual representation under appearance variations, structured scientific reasoning with small models, multi-agent systems
- Core courses: Computer Vision, Frontier Technologies in AI, Computer Networks, Operating Systems, Software Engineering, SQA and Testing, Database Systems
Competitions
Selected Competition Achievements
- National University IoT Design Competition (Huawei Cup): National First Prize, Top 6
- China Youth Sci-Tech Innovation Challenge: National Second Prize
- National University Computer System Capability Competition: National Third Prize
- MCM/ICM: Honorable Mention
Scholarships
Scholarships and University Honors
- Zheng Geru First-Class Scholarship, ranked 1st in grade defense and sole recipient
- Wuhan University First-Class Scholarship, twice
- Merit Student, twice
- Outstanding Student Cadre, Outstanding Youth League Branch Leader, Future College Outstanding Trainee
Skills and Service
Core Skills and Student Activities
Research work is supported by implementation depth, academic writing, and team coordination.
Core Skills
Engineering and Research Toolkit
- Python, C/C++, Java; Git and MATLAB
- Person Re-ID, SMPL body modeling, 3D Gaussian Splatting, experimental design, ablation analysis, academic writing
- Multi-agent design, orchestration, validation, observability, and application development with GPT, Claude, and Gemini APIs
- Embedded driver development and protocol design on RISC-V / ESP32 dual-architecture platforms
Student Activities
Representative Service Work
- Vice Minister of Publicity, Student Party Branch Secretaries Joint Council, Wuhan University (2024.09 - 2025.09)
- Supported undergraduate Party-building publicity work and contributed to more than 100 published articles
- Project Team Member, Second Classroom Center, University Youth League Committee (2023.10 - 2024.09)
- Participated in platform quality monitoring, issue investigation, and follow-through for platform fixes
Working Style
Where I tend to contribute best
Contact
Open to research collaboration, RA opportunities, and systems-oriented projects
If you are working on visual understanding, structured reasoning, or multi-agent systems, feel free to reach out.