📝 Notes & Experiences

• A Comprehensive Guide to the Computer Science PhD Journey: A Survey of Collected Wisdom - This survey distills hard-won CS PhD advice from nearly 20 well-known researchers’ essays and talks into one practical, end-to-end guide. It covers the full arc—from applying and choosing an advisor to building a sustainable research workflow, publishing effectively, and planning your post-PhD path.
• A curated list of Best Paper Award winners from top ML/NLP venues (ICLR, NeurIPS, ICML, ACL, EMNLP, NAACL, AAAI, and more), covering 2022–2026 - A resource for developing research taste.
• Prompt Papers Are Dead: Embracing Scaling Training (Prompt论文已死，拥抱Scaling Training) - 从 Scaling 与 Training 视角讨论 Prompt 论文的局限与未来研究方向 (Chinese Version)
• 美国留学申请心得 - 我的美国留学申请经验总结与建议 (Chinese Version)