--- title: "Haoru Tan — author profile and papers — Elamur Research" description: "Haoru Tan, Tencent: 2 papers on Elamur Research (2026), h-index 5 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/haoru-tan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/haoru-tan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Haoru Tan # Haoru Tan Haoru Tan has 2 papers in our library, in 2026; often with [Jiaya Jia](https://md.research.elamur.ai/free/en/authors/jiaya-jia/), [Sitong Wu](https://md.research.elamur.ai/free/en/authors/sitong-wu/), [Wenhu Zhang](https://md.research.elamur.ai/free/en/authors/wenhu-zhang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5054734725) · [ORCID](https://orcid.org/0009-0001-6721-2468) · [Wikidata](https://www.wikidata.org/wiki/Q131011306) · [**h-index 5**](https://openalex.org/authors/A5054734725) · [25 works](https://openalex.org/works?filter=author.id:A5054734725) · [120 citations](https://openalex.org/works?filter=author.id:A5054734725&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/haoru-tan/#papers) · [⭐ Paper Stars ranking: #13592](https://md.research.elamur.ai/free/en/paper-stars/page/136/#star-13592) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Haoru+Tan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Haoru+Tan) · [dblp](https://dblp.org/search?q=Haoru+Tan) · [ACL Anthology](https://aclanthology.org/search/?q=Haoru+Tan) ## Affiliations [🎓**University of Hong Kong** Pok Fu Lam · China 2023–2026 · 13 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🏢**Tencent** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/tencent/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2021–2024 · 3 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Automation** Beijing · China 2021–2024 · 3 papers](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2021–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/haoru-tan/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[SearchGym: Bootstrapping Real-World Search Agents via Cost-Effective and High-Fidelity Environment Simulation](https://md.research.elamur.ai/free/en/papers/zhang-2026-searchgym-bootstrapping-real-world-search/)** *(2026)* Training LLM search agents with reinforcement learning creates a trade-off. Live commercial search APIs are realistic but expensive. Offline snapshots such as Wikipedia are cheap, but they often disagree with dataset labels. That mismatch produces faulty rewards, which can punish correct answers or reward lucky… 2. **[TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy Optimization](https://md.research.elamur.ai/free/en/papers/wu-2026-trac-teacher-guided-token-reward/)** *(2026)* Reinforcement learning for LLM reasoning usually depends on a single correctness signal at the end of a solution. ## Co-authors here 7 co-authors with a page, the most papers together first. - [Jiaya Jia](https://md.research.elamur.ai/free/en/authors/jiaya-jia/) ×2 - [Sitong Wu](https://md.research.elamur.ai/free/en/authors/sitong-wu/) ×2 - [Wenhu Zhang](https://md.research.elamur.ai/free/en/authors/wenhu-zhang/) ×2 - [Xichen Zhang](https://md.research.elamur.ai/free/en/authors/xichen-zhang/) ×2 - [Bei Yu](https://md.research.elamur.ai/free/en/authors/bei-yu/) - [Yinghao Zhu](https://md.research.elamur.ai/free/en/authors/yinghao-zhu/) - [Ziyi He](https://md.research.elamur.ai/free/en/authors/ziyi-he/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 Updated 2 November 2026