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Shanghang Zhang

Shanghang Zhang has 2 papers in our library, in 2023–2026; often with Chi-Min Chan, Jie Fu, Weize Chen.

2 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 34 · 205 works · 12,336 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 429 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #4563

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate (2023 · 359 citations)
    Judging the quality of generated text is costly when done by people. N-gram metrics such as BLEU, Rouge and METEOR are cheap but align poorly with human opinion on open-ended outputs. Using a single LLM as a judge narrows this gap but does not yet reach human-level quality. ChatEval responds by turning evaluation…
  2. NavA³: Understanding Any Instruction, Navigating Anywhere, Finding Anything (2026 · 2 citations)
    The paper tackles long-horizon embodied navigation driven by high-level human requests, such as asking for coffee, rather than step-by-step directions (VLN) or a fixed object category (ObjectNav).

All works

8 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. Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetHaoyi Zhou et al.2021 · 7,398 citations
  2. ChatEval: Towards Better LLM-based Evaluators through Multi-Agent DebatearXiv:2308.07201Chi-Min Chan, Weize Chen, Yusheng Su, et al.2023 · 359 citations
  3. Multi-Source Distilling Domain Adaptation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetSicheng Zhao et al.2020 · 215 citations
  4. PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetXiangyang Zhu et al.2023 · 203 citations
  5. Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXiangyu Yue et al.2021 · 163 citations
  6. Self-Supervised Pretraining Improves Self-Supervised Pretraining ↗IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · no summary yetColorado Reed et al.2022 · 108 citations
  7. Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetBo Li et al.2021 · 88 citations

 Co-authors here

5 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 429 times (of the 149,439 papers whose bibliographies we read); 64 citing papers with a page here →.

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