---
title: "Liang Lin — all works — Elamur Research"
description: "All 26 works of Liang Lin in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/liang-lin/works/"
---
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# Liang Lin — all works

26 works · [← Liang Lin](https://md.research.elamur.ai/free/en/authors/liang-lin/)

1. **[Joint Detection and Identification Feature Learning for Person Search ↗](https://doi.org/10.1109/cvpr.2017.360) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Tong Xiao et al.*2017 · 907 citations*
2. **[Is Faster R-CNN Doing Well for Pedestrian Detection? ↗](https://doi.org/10.1007/978-3-319-46475-6_28) Lecture notes in computer science · no summary yet**Liliang Zhang et al.*2016 · 838 citations*
3. **[Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning ↗](https://doi.org/10.1109/iccv.2019.00967) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Xiaopeng Yan et al.*2019 · 622 citations*
4. **[Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation ↗](https://doi.org/10.1109/iccv.2019.00151) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Ruijia Xu et al.*2019 · 514 citations*
5. **[Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing ↗](https://doi.org/10.1109/cvpr.2017.715) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ke Gong et al.*2017 · 513 citations*
6. **[Knowledge-Embedded Routing Network for Scene Graph Generation ↗](https://doi.org/10.1109/cvpr.2019.00632) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Tianshui Chen et al.*2019 · 440 citations*
7. **[Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition ↗](https://doi.org/10.1109/iccv.2019.00061) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Tianshui Chen et al.*2019 · 335 citations*
8. **[Crowd Counting With Deep Structured Scale Integration Network ↗](https://doi.org/10.1109/iccv.2019.00186) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Lingbo Liu et al.*2019 · 291 citations*
9. **[Instance-Level Salient Object Segmentation ↗](https://doi.org/10.1109/cvpr.2017.34) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Guanbin Li et al.*2017 · 286 citations*
10. **[Attention-Aware Face Hallucination via Deep Reinforcement Learning ↗](https://doi.org/10.1109/cvpr.2017.180) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Qingxing Cao et al.*2017 · 235 citations*
11. **[GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning](https://md.research.elamur.ai/free/en/papers/chen-2021-geoqa-geometric-question-answering-benchmark/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaqi Chen, Jianheng Tang, Jinghui Qin, et al.*2021 · 184 citations*
12. **[Graphonomy: Universal Human Parsing via Graph Transfer Learning ↗](https://doi.org/10.1109/cvpr.2019.00763) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ke Gong et al.*2019 · 183 citations*
13. **[Semantic Object Parsing with Local-Global Long Short-Term Memory ↗](https://doi.org/10.1109/cvpr.2016.347) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xiaodan Liang et al.*2016 · 182 citations*
14. **[GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems](https://md.research.elamur.ai/free/en/papers/huang-2020-grade-automatic-graph-enhanced-coherence/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lishan Huang, Zheng Ye, Jinghui Qin, et al.*2020 · 144 citations*
15. **[Matching-CNN meets KNN: Quasi-parametric human parsing ↗](https://doi.org/10.1109/cvpr.2015.7298748) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Si Liu et al.*2015 · 136 citations*
16. **[UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression](https://md.research.elamur.ai/free/en/papers/chen-2022-unigeo-unifying-geometry-logical-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiaqi Chen, Tong Li, Jinghui Qin, et al.*2022 · 111 citations*
17. **[Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection ↗](https://doi.org/10.1109/cvpr.2019.00658) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Hang Xu et al.*2019 · 107 citations*
18. **[PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors ↗](https://doi.org/10.1109/cvpr.2013.275) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Keyang Shi et al.*2013 · 96 citations*
19. **[Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems ↗](https://aclanthology.org/2020.emnlp-main.309/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Jinghui Qin et al.*2020 · 86 citations*
20. **[Enhanced Soft Label for Semi-Supervised Semantic Segmentation ↗](https://doi.org/10.1109/iccv51070.2023.00115) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Jie Ma et al.*2023 · 65 citations*
21. **[Learning Object Interactions and Descriptions for Semantic Image Segmentation ↗](https://doi.org/10.1109/cvpr.2017.556) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Guangrun Wang et al.*2017 · 51 citations*
22. **[GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer ↗](https://arxiv.org/abs/2102.00769) arXiv:2102.00769 · no summary yet**Yukai Shi et al.*2021 · 14 citations*
23. **[Cool-Fusion: Fuse Large Language Models without Training](https://md.research.elamur.ai/free/en/papers/liu-2025-cool-fusion-fuse-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cong Liu, Xiaojun Quan, Yan Pan, et al.*2025 · 8 citations*
24. **[SEE: Signal Embedding Energy for Quantifying Noise Interference in Large Audio Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-see-signal-embedding-energy-quantifying/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanhe Zhang, Jiayu Tian, Yibo Zhang, et al.*2026 · 1 citation*
25. **[Visually-Guided Policy Optimization for Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-visually-guided-policy-optimization-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zengbin Wang, Feng Xiong, Liang Lin, et al.*2026 · 1 citation*
26. **[HearSay Benchmark: Do Audio LLMs Leak What They Hear?](https://md.research.elamur.ai/free/en/papers/wang-2026-hearsay-benchmark-do-audio-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jin Wang, Kaiwen Luo, Liang Lin, et al.*2026*