--- title: "Dianhai Yu — author profile and papers" description: "Dianhai Yu, Sun Yat-sen University: 2 papers on Elamur Research (2015–2018), h-index 21 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/dianhai-yu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dianhai-yu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Dianhai Yu # Dianhai Yu Dianhai Yu works on neural models for natural language processing, and their papers here span 2015 to 2018. Two problems recur: how to share learned representations across related tasks, and how to match pieces of text that relate to each other in indirect ways. The methods are attention-based neural architectures, first recurrent encoder-decoders for machine translation and later attention-only matching networks for conversational systems. The most cited of these papers is [Multi-Task Learning for Multiple Language Translation](https://md.research.elamur.ai/free/en/papers/dong-2015-multi-task-learning-multiple-language/) (2015). Instead of training a separate system for every language pair, it treats translation from English into several languages as one multi-task problem. A single bidirectional recurrent encoder is shared by all directions, and each target language has its own decoder and attention mechanism. The aim is to help language pairs that have little parallel text to learn from. The later work moves to [dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/). [Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network](https://md.research.elamur.ai/free/en/papers/zhou-2018-multi-turn-response-selection-chatbots/) (2018) considers a retrieval chatbot that must choose the best reply to a conversation of several turns. Its model drops recurrence and relies on attention alone, drawing on the Transformer. Stacked self-attention builds word representations at several levels of granularity, and cross-attention then aligns each earlier utterance with a candidate reply. This lets the model find replies tied to the context through links such as coreference rather than through shared words. Yu's papers are mostly affiliated with [Baidu](https://md.research.elamur.ai/free/en/companies/baidu/) in Beijing, where the 2015 translation work was carried out. Co-authors include [Daxiang Dong](https://md.research.elamur.ai/free/en/authors/daxiang-dong/), [Hua Wu](https://md.research.elamur.ai/free/en/authors/hua-wu/) and [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/). Dianhai Yu has 2 papers in our library, in 2015–2018, most of them on [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Daxiang Dong](https://md.research.elamur.ai/free/en/authors/daxiang-dong/), [Hua Wu](https://md.research.elamur.ai/free/en/authors/hua-wu/), [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/). 2 papers in our library · 2015–2018 [OpenAlex](https://openalex.org/A5084155236) · [ORCID](https://orcid.org/0000-0002-0163-2603) · [Wikidata](https://www.wikidata.org/wiki/Q130848823) · [**h-index 21**](https://openalex.org/authors/A5084155236) · [72 works](https://openalex.org/works?filter=author.id:A5084155236) · [2,641 citations](https://openalex.org/works?filter=author.id:A5084155236&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/dianhai-yu/#papers) · [🔗 475 citations in our library](https://md.research.elamur.ai/free/en/authors/dianhai-yu/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Star rank #1751](https://md.research.elamur.ai/free/en/paper-stars/page/18/#star-1751) 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=Dianhai+Yu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Dianhai+Yu) · [dblp](https://dblp.org/search?q=Dianhai+Yu) · [ACL Anthology](https://aclanthology.org/search/?q=Dianhai+Yu) ## Affiliations [🏢**Baidu** Beijing · China 2012–2026 · 50 papers*current*](https://md.research.elamur.ai/free/en/companies/baidu/) · [🎓**Peking University** Beijing · China 2008–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Sun Yat-sen University** Guangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Topics [Dialogue systems (1)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) ## Works by year ### 2010s [**2018** 1 paper](https://md.research.elamur.ai/free/en/papers/zhou-2018-multi-turn-response-selection-chatbots/) · [**2015** 1 paper](https://md.research.elamur.ai/free/en/papers/dong-2015-multi-task-learning-multiple-language/) ## Papers The most cited first (OpenAlex and our library). 1. **[Multi-Task Learning for Multiple Language Translation](https://md.research.elamur.ai/free/en/papers/dong-2015-multi-task-learning-multiple-language/)** *(2015 · 791 citations)* Translating one source language into several target languages usually means training a separate system for each pair. 2. **[Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network](https://md.research.elamur.ai/free/en/papers/zhou-2018-multi-turn-response-selection-chatbots/)** *(2018 · 408 citations)* The paper addresses multi-turn response selection: given a multi-utterance conversation history, a retrieval-based chatbot must pick the most suitable reply from a set of candidates. ## Also in our library 3 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 7 co-authors with a page, the most papers together first. - [Daxiang Dong](https://md.research.elamur.ai/free/en/authors/daxiang-dong/) ×2 - [Hua Wu](https://md.research.elamur.ai/free/en/authors/hua-wu/) ×2 - [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/) - [Lu Li](https://md.research.elamur.ai/free/en/authors/lu-li/) - [Wayne Xin Zhao](https://md.research.elamur.ai/free/en/authors/wayne-xin-zhao/) - [Wei He](https://md.research.elamur.ai/free/en/authors/wei-he/) - [Yi Liu](https://md.research.elamur.ai/free/en/authors/yi-liu/) ## Cited by Papers of our library cite their works 475 times (of the 140,884 papers whose bibliographies we read); [45 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/dianhai-yu/cited-by/).