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Tiancheng Zhao

Tiancheng Zhao has 3 papers in our library, in 2017–2019, most of them on Dialogue systems, Discourse analysis; often with Maxine Eskenazi, Chenyan Xiong, Eric Xing.

3 papers in our library · 2017–2019

OpenAlex · ORCID · h-index 19 · 68 works · 2,253 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 382 times in our library · ⭐ Paper Stars ranking: #1784

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Georgia Institute of TechnologyAtlanta · United States2025–2026 · 2 paperscurrent🎓Saint Louis UniversitySt Louis · United States2022–2026 · 2 paperscurrent🎓Northeastern UniversityBoston · United States2026 · 1 papercurrent🎓Carnegie Mellon UniversityPittsburgh · United States2015–2022 · 32 papers🎓Zhejiang UniversityHangzhou · China2022–2025 · 8 papers🎓University of Illinois Urbana-ChampaignUrbana · United States2020–2022 · 4 papers🎓Nanjing Normal UniversityNanjing · China2025 · 2 papers🎓Nanjing Xiaozhuang UniversityNanjing · China2025 · 2 papers🏢Jilin Electric Power Research InstituteChangchun · China2022 · 2 papers🎓Beijing Normal UniversityBeijing · China2016–2017 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 2Research subjects and languages the work is about.Dialogue systems · 2 worksDiscourse analysis · 1 work

 Works by year

2010s

20192 papersTiancheng Zhao's papers of 201920171 paperLearning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders

 Papers

The most cited first (OpenAlex and our library).

  1. Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders (2017 · 990 citations)
    Neural encoder-decoder dialog models trained with MLE tend to produce bland, generic replies such as "I don't know." Earlier fixes mostly worked at the word level, for example through decoding tricks.
  2. Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models (2019 · 168 citations)
    Applying reinforcement learning to end-to-end dialog agents is hard because the action space is usually either a set of handcrafted dialog acts, which does not scale to complex domains, or the full output vocabulary.
  3. Target-Guided Open-Domain Conversation (2019 · 166 citations)
    The paper asks how an open-domain chatbot can pursue a goal: talk naturally with a person while steering the dialogue toward a hidden target word, such as "e-books" or "McDonald's".

 Co-authors here

7 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 382 times (of the 141,840 papers whose bibliographies we read); 25 citing papers with a page here →.

Updated

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