🧑‍🔬 Heng Tao Shen

🏛️ Affiliations

🎓University of Electronic Science and Technology of ChinaChengdu · China2015–2026 · 457 paperscurrent🎓Tongji UniversityShanghai · China2023–2026 · 116 paperscurrent🎓The University of QueenslandBrisbane · Australia2004–2018 · 170 papersEmployment 2004–2017 · Professor, School of ITEE🔬Peng Cheng LaboratoryShenzhen · China2021–2024 · 46 papers🎓National University of SingaporeSingapore · Singapore2000–2023 · 11 papersEducation 2000–2004 · PhD, Computer Science🔬Data61Sydney · Australia2007–2010 · 5 papers🎓Hefei University of TechnologyHefei · China2020–2023 · 2 papers

🏛️University of Electronic Sciecne and Technology of ChinaChengdu · China2017Employment since 2017 · Professor, School of Computer Science and Technology

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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. ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction (2023 · 51 citations)
   The paper investigates whether large language models can perform document information extraction (DIE) from visually rich documents (receipts, forms) through in-context learning alone, without fine-tuning.
2. RISER: Orchestrating Latent Reasoning Skills for Adaptive Activation Steering (2026 · 1 citation)
   LLMs reason well in general but are uneven on specialised tasks. Fine-tuning fixes this at high cost and with the risk of forgetting. Existing activation steering usually adds one fixed vector at a hand-tuned strength. RISER, whose name reflects its use of a router that intervenes in the model to steer and improve…

All works

14 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. Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYuhui Wu et al.2023 · 210 citations
2. Template-Based Math Word Problem Solvers with Recursive Neural Networks ↗AAAI 2019 · no summary yetLei Wang et al.2019 · 193 citations
3. Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYaping Zhang et al.2019 · 143 citations
4. Matrix Tri-Factorization with Manifold Regularizations for Zero-Shot Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXing Xu et al.2017 · 127 citations
5. Multi-Modal Hashing for Efficient Multimedia Retrieval: A Survey ↗IEEE Transactions on Knowledge and Data Engineering · no summary yetLei Zhu et al.2023 · 125 citations
6. Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in Conversation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetFeiyu Chen et al.2023 · 97 citations
7. Multi-attention Network for One Shot Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetPeng Wang et al.2017 · 96 citations
8. Meta Distribution Alignment for Generalizable Person Re-Identification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetHao Ni et al.2022 · 85 citations
9. Optimal graph learning with partial tags and multiple features for image and video annotation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLianli Gao et al.2015 · 79 citations
10. Attention-based LSTM with Semantic Consistency for Videos Captioning ↗ACM International Conference on Multimedia (ACM MM) · no summary yetZhao Zhuang Guo et al.2016 · 60 citations
11. TVT: Three-Way Vision Transformer through Multi-Modal Hypersphere Learning for Zero-Shot Sketch-Based Image Retrieval ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJialin Tian et al.2022 · 57 citations
12. Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZixian Gao et al.2024 · 56 citations
13. ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information ExtractionIEEE/CVF International Conference on Computer Vision (ICCV)Jiabang He; Lei Wang; Yi Hu; Ning Liu; Hui Liu; Xing Xu;, Heng Tao Shen2023 · 51 citations
14. RISER: Orchestrating Latent Reasoning Skills for Adaptive Activation SteeringFindings of the Association for Computational LinguisticsWencheng Ye, Xiaoyang Yuan, Yi Bin, et al.2026 · 1 citation

🤝 Co-authors here

1 co-author with a page, the most papers together first.

• Yi Bin

Venues

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

• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×8
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026
• IEEE/CVF International Conference on Computer Vision (ICCV): ICCV 2023
• AAAI 2019
• ACM International Conference on Multimedia (ACM MM)
• IEEE Transactions on Knowledge and Data Engineering
• Proceedings of the AAAI Conference on Artificial Intelligence

🔗 Cited by

Papers of our library cite their works 97 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated 1 November 2026

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