Chen Junyang陈骏扬
Multimodal AI · Agentic RL · Environment-Grounded Reasoning多模态智能 · 智能体强化学习 · 环境约束推理
Graduate student, PALM Lab, School of Computer Science and Engineering, Southeast University · Nanjing, China东南大学计算机科学与工程学院 · PALM 实验室 · 中国南京
chenjunyang0806@gmail.com · chenjunyang@seu.edu.cn · Citations 236
My research studies AI systems that learn from imperfect supervision, reason over multimodal evidence, and make decisions in constrained interactive environments. I am particularly interested in RL distillation, multimodal reasoning, open-vocabulary perception, semi-supervised learning, and environment-grounded agent behavior.
我的研究关注如何让智能系统从不完美监督中学习,结合多模态证据进行推理,并在受约束的交互环境中完成决策。近期兴趣包括强化学习蒸馏、多模态推理、开放词汇感知、半监督学习与环境约束下的智能体行为。
Master's DegreeSoutheast University (SEU), 2024.09–present
Bachelor's DegreeSichuan Agricultural University (SiCAU), 2020.09–2024.06
Research Intern on Agent Post-Training & Interactive Reinforcement Learning
Current InternshipWorking on application-level post-training and Agentic RL for Qwen3.5-122B-A10B and Qwen3.5-35B-A3B, with a focus on multi-turn decision-making and tool-mediated interaction for consumer-facing AI agents across travel, mobility, local services, instant commerce, and other real business scenarios.
News近期动态
- Paper
Positive-Unlabeled Reinforcement Learning Distillation for On-Premise Small Models accepted to ICML 2026.
- Paper
LoGoSeg accepted to AAAI 2026.
- Paper
RankMatch accepted to NeurIPS 2025.
- Open
Maintaining Arxiv-tracker for lightweight paper monitoring, filtering, and research queue management.
- Lead
Led the InternLM/Lagent teaching module and delivered a public Bilibili lecture.
Selected Publications代表性论文
Full list of publications in Google Scholar. * Equal contribution.
Positive-Unlabeled Reinforcement Learning Distillation for On-Premise Small Models
ICML 2026 (CCF-A, poster), 2026.05
LoGoSeg: Integrating Local and Global Features for Open-Vocabulary Semantic Segmentation
AAAI 2026 (CCF-A, poster), 2025.11
RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels
NeurIPS 2025 (CCF-A, poster), 2025.09
A multiscale lightweight and efficient model based on YOLOv7: Applied to citrus orchard
Plants-Basel (SCI), 中科院2区, JCR Q1, 2022.11
ETU-Net: efficient Transformer and convolutional U-style connected attention segmentation network applied to endoscopic image of epistaxis
Frontiers in Medicine (SCI), 中科院3区, JCR Q1, 2023.08
Open Source Leadership开源主导与教学
ShuSheng LLM Practical Camp · Agent Module Lead
InternLM/Tutorial · course design · public lecture
Led the Agent/Lagent teaching module for the InternLM open-source camp: designed hands-on course materials, structured runnable multi-agent examples, and delivered a public Bilibili lecture with 3k+ views.
ArXiv Daily Paper Tracker · Project Lead
colorfulandcjy0806/Arxiv-tracker · daily digest · web + email
Built and maintain an automated research workflow for keyword/category search, bilingual LLM summaries, email digests, static site generation, freshness-window deduplication, OpenAI-compatible APIs, and daily GitHub Action automation.
Reviewer Experience & Awards审稿经历与荣誉
Reviewer Experience
- Reviewer for Neural Information Processing Systems (NeurIPS 2026)
- Reviewer for ACM Multimedia Conference (ACM MM 2025–2026)
- Reviewer for AAAI Conference on Artificial Intelligence (AAAI 2025–2027)
- Reviewer for Frontiers in Plant Science
- Reviewer for International Conference on Machine Learning (ICML 2026)
Awards
- Excellent Postgraduate Student Cadre, Southeast University (东南大学优秀研究生干部, Top 5%), 2025.10
- Outstanding Graduates of Sichuan Province (四川省优秀毕业生, Top 4%), China, 2024.06
- Outstanding Student Model (优秀学生标兵, the highest honor of the university, only 10 students selected, sole recipient in the entire college), Sichuan Agricultural University, 2022–2023
- China National Scholarship (国家奖学金, Top 0.2%), 2023
- China National Scholarship (国家奖学金, Top 0.2%), 2022