--- title: "Jheng-Hong Yang — author profile and papers in our library" description: "Jheng-Hong Yang: 2 papers on Elamur Research (2021–2022), h-index 13 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/jheng-hong-yang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jheng-hong-yang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jheng-Hong Yang # Jheng-Hong Yang Jheng-Hong Yang has 2 papers in our library, in 2021–2022, most of them on [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Jimmy Lin](https://md.research.elamur.ai/free/en/authors/jimmy-lin/), [Allan Hanbury](https://md.research.elamur.ai/free/en/authors/allan-hanbury/), [Sebastian Hofstatter](https://md.research.elamur.ai/free/en/authors/sebastian-hofstatter/). 2 papers in our library · 2021–2022 [OpenAlex](https://openalex.org/A5014519159) · [ORCID](https://orcid.org/0000-0001-5469-312X) · [Wikidata](https://www.wikidata.org/wiki/Q130864637) · [**h-index 13**](https://openalex.org/authors/A5014519159) · [28 works](https://openalex.org/works?filter=author.id:A5014519159) · [1,291 citations](https://openalex.org/works?filter=author.id:A5014519159&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jheng-hong-yang/#papers) · [🔗 Cited 375 times in our library](https://md.research.elamur.ai/free/en/authors/jheng-hong-yang/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4663](https://md.research.elamur.ai/free/en/paper-stars/page/47/#star-4663) 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=Jheng-Hong+Yang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jheng-Hong+Yang) · [dblp](https://dblp.org/search?q=Jheng-Hong+Yang) · [ACL Anthology](https://aclanthology.org/search/?q=Jheng-Hong+Yang) ## Affiliations [🎓**University of Waterloo** Waterloo · Canada 2021–2025 · 17 papersEmployment](https://md.research.elamur.ai/free/en/universities/university-of-waterloo/) · [🔬**Academia Sinica** Taipei · Taiwan 2018–2020 · 5 papers](https://md.research.elamur.ai/free/en/labs/academia-sinica/) · [🔬**Research Center for Information Technology Innovation, Academia Sinica** Taipei · Taiwan 2020–2021 · 3 papers](https://ror.org/000zgvm20) 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 7 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) 🧭 Topics 2 Research subjects and languages the work is about.[Information retrieval & search · 2 works](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/jheng-hong-yang/year/2022/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/jheng-hong-yang/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling](https://md.research.elamur.ai/free/en/papers/hofstatter-2021-efficiently-teaching-effective-dense-retriever/)** *(2021 · 425 citations)* Dense retrievers such as the dual-encoder BERT DOT give fast first-stage search. Recent methods for training them cost a lot of compute: ANCE keeps refreshing a negative-sampling index, and RocketQA needs very large batches. Hofstätter et al. ask whether a strong dense retriever can be trained on modest hardware… 2. **[Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval](https://md.research.elamur.ai/free/en/papers/zhong-2022-evaluating-token-level-passage-level/)** *(2022 · 23 citations)* Math Information Retrieval (MIR) is difficult because formulas are highly structured. The same concept can appear in very different notation, and formulas interact with the text around them. The strongest systems still rely on hand-engineered structure matching. This paper asks whether bi-encoder dense retrievers can… ## All works 4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations ↗](https://doi.org/10.1145/3404835.3463238) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Jimmy Lin et al.*2021 · 542 citations* 2. **[Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling](https://md.research.elamur.ai/free/en/papers/hofstatter-2021-efficiently-teaching-effective-dense-retriever/) [International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)](https://md.research.elamur.ai/free/en/venues/international-acm-sigir-conference-on-research-and-development-in-information/)**Sebastian Hofstatter, Sheng-Chieh Lin, Jheng-Hong Yang, et al.*2021 · 425 citations* 3. **[In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval ↗](https://aclanthology.org/2021.repl4nlp-1.17/) Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021) · no summary yet**Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin*2021 · 164 citations* 4. **[Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval](https://md.research.elamur.ai/free/en/papers/zhong-2022-evaluating-token-level-passage-level/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wei Zhong, Jheng-Hong Yang, Yuqing Xie, et al.*2022 · 23 citations* ## Co-authors here 5 co-authors with a page, the most papers together first. - [Jimmy Lin](https://md.research.elamur.ai/free/en/authors/jimmy-lin/) ×2 - [Allan Hanbury](https://md.research.elamur.ai/free/en/authors/allan-hanbury/) - [Sebastian Hofstatter](https://md.research.elamur.ai/free/en/authors/sebastian-hofstatter/) - [Sheng-Chieh Lin](https://md.research.elamur.ai/free/en/authors/sheng-chieh-lin/) - [Yuqing Xie](https://md.research.elamur.ai/free/en/authors/yuqing-xie/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)](https://md.research.elamur.ai/free/en/venues/international-acm-sigir-conference-on-research-and-development-in-information/) ×2: [SIGIR 2021](https://md.research.elamur.ai/free/en/venues/international-acm-sigir-conference-on-research-and-development-in-information/2021/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2022](https://md.research.elamur.ai/free/en/venues/findings/2022/) - Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021) ## Cited by Papers of our library cite their works 375 times (of the 149,439 papers whose bibliographies we read); [63 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jheng-hong-yang/cited-by/). Updated 3 November 2026