Life always requires seeking something fresh.
I'm a passionate learner and researcher with a strong interest in Large Language Models (LLMs), Natural Language Processing (NLP), and Graph Learning. I thrive on tackling new challenges, whether through competitive programming, academic research, or diving into the latest papers.
I believe in the power of open source and enjoy sharing my work to connect and learn with others. Feel free to explore my projects and let's build something amazing together!
Click to view all competition experiences
- 2025 | Alibaba Tianchi 2025AI Global Security Challenge Ongoing
- 2025 | Alibaba Tianchi AFAC2025: Financial Long-Chain-of-Thought Compression | A-Board Top1
- 2025 | Kaggle WSDM-CUP 2025 | Silver Medal 🥈
- 2025 | Kaggle SWE-bench | Solo Silver Medal 🥈
- 2024 | WWW2025 Multi-Modal Dialogue System Intent Recognition Challenge | Finals Top 9
- 2024 | Alibaba Tianchi AFAC2024: Financial Tool Learning | A-Board Top 3 / B-Board Top 7 | 🔗 Code
- 2024 | KDD-CUP PST Track | Top 4
- 2024 | Kaggle LLM - Detect AI Generated Text | Solo Silver Medal 🥈
- 2024 | Alibaba Tianchi Alimama Reinforcement Learning Challenge | Top 4 | 🔗 Code
- 2024 | GAIIC2024: UAV-based RGB-T Object Detection | Top 3| |
- 2023 | Alibaba Tianchi - NVIDIA Global AI Challenge for Smart Cars: LLM RAG | Top 6 | 🔗 Code
- 2023 | Alibaba Tianchi Social Graph Link Prediction | Top 15 | 🔗 Code
- 2022 | China Post "User Intent Recognition" Global Challenge | Top 5 | 🔗 Code
- 2021 | IJCAI 2021 WhoIsWho Task1 | Top 12
- 2021 | Intel Master Cup Deep Learning Challenge | Top 7
- 2021 | Sohu Campus Text Matching Competition | Top 8 | 🔗 Code
- 2021 | Tianchi Global AI Innovation Contest | Top 2%
Click to view all publications
- [Submission in WSDM2026]Yan Zihan. CoRe: Confidence-Gated Reasoning for Real-Time Self-Monitoring in Large Language Models |
- [NAACL 2025]Yan Zihan. GraphAgent: An Adversarial-Based Graph Learning Agent Network Structure. | ''
- [WWW 2025]Yan Zihan. Weakly Supervised Multi-Modal Large Model for Intent Recognition and Classification (tech report). | ''
- [TKDE 2022]Yan Zihan, Liu Li, Li Xin, et al. Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors. | 🔗 Code
- [WWW 2023]Yan Zihan, Y Chen, et al. Long-Text-Generation-by-Modeling-Mutihop-Level-Coherence. | 🔗 Code
- [ICSAI 2021] He Jiawei, Liu Li, Yan Zihan, et al. User Alignment across Dynamic Social Networks based on Heuristic Algorithm. | 🔗 Code