---
title: "Dahua Lin — all works — Elamur Research"
description: "All 43 works of Dahua 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/dahua-lin/works/"
---
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# Dahua Lin — all works

43 works · [← Dahua Lin](https://md.research.elamur.ai/free/en/authors/dahua-lin/)

1. **[Libra R-CNN: Towards Balanced Learning for Object Detection ↗](https://doi.org/10.1109/cvpr.2019.00091) 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**Jiangmiao Pang et al.*2019 · 1,784 citations*
2. **[Hybrid Task Cascade for Instance Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00511) 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**Kai Chen et al.*2019 · 1,538 citations*
3. **[Learning a Unified Classifier Incrementally via Rebalancing ↗](https://doi.org/10.1109/cvpr.2019.00092) 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**Saihui Hou et al.*2019 · 1,181 citations*
4. **[CARAFE: Content-Aware ReAssembly of FEatures ↗](https://doi.org/10.1109/iccv.2019.00310) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Jiaqi Wang et al.*2019 · 992 citations*
5. **[MMBench: Is Your Multi-modal Model an All-around Player?](https://md.research.elamur.ai/free/en/papers/liu-2023-mmbench-multi-modal-model-all/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Yuan Liu, Haodong Duan, Yuanhan Zhang, et al.*2023 · 942 citations*
6. **[Revisiting Skeleton-based Action Recognition ↗](https://doi.org/10.1109/cvpr52688.2022.00298) 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**Haodong Duan et al.*2022 · 842 citations*
7. **[Region Proposal by Guided Anchoring ↗](https://doi.org/10.1109/cvpr.2019.00308) 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**Jiaqi Wang et al.*2019 · 695 citations*
8. **[VBench: Comprehensive Benchmark Suite for Video Generative Models ↗](https://doi.org/10.1109/cvpr52733.2024.02060) 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**Ziqi Huang et al.*2024 · 572 citations*
9. **[Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering ↗](https://doi.org/10.1109/cvpr52733.2024.01952) 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**Tao Lü et al.*2024 · 557 citations*
10. **[UntrimmedNets for Weakly Supervised Action Recognition and Detection ↗](https://doi.org/10.1109/cvpr.2017.678) 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**Limin Wang et al.*2017 · 557 citations*
11. **[Detecting Visual Relationships with Deep Relational Networks ↗](https://doi.org/10.1109/cvpr.2017.352) 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**Bo Dai, Yuqi Zhang, Dahua Lin*2017 · 521 citations*
12. **[ShareGPT4V: Improving Large Multi-Modal Models with Better Captions](https://md.research.elamur.ai/free/en/papers/chen-2023-sharegpt4v-improving-large-multi-modal/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Lin Chen, Jinsong Li, Xiaoyi Dong, et al.*2023 · 454 citations*
13. **[Adapting Object Detectors via Selective Cross-Domain Alignment ↗](https://doi.org/10.1109/cvpr.2019.00078) 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**Xinge Zhu et al.*2019 · 376 citations*
14. **[Are We on the Right Way for Evaluating Large Vision-Language Models?](https://md.research.elamur.ai/free/en/papers/chen-2024-right-way-evaluating-large-vision/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Lin Chen, Jinsong Li, Xiaoyi Dong, et al.*2024 · 277 citations*
15. **[PolyNet: A Pursuit of Structural Diversity in Very Deep Networks ↗](https://doi.org/10.1109/cvpr.2017.415) 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**Xingcheng Zhang et al.*2017 · 262 citations*
16. **[OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation](https://md.research.elamur.ai/free/en/papers/huang-2023-opera-alleviating-hallucination-multi-modal/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Qidong Huang, Xiaoyi Dong, Pan Zhang, et al.*2023 · 238 citations*
17. **[What Are You Talking About? Text-to-Image Coreference ↗](https://doi.org/10.1109/cvpr.2014.455) 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**Chen Kong et al.*2014 · 227 citations*
18. **[OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation ↗](https://doi.org/10.1109/cvpr52729.2023.00084) 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 Wu et al.*2023 · 206 citations*
19. **[PYSKL: Towards Good Practices for Skeleton Action Recognition ↗](https://doi.org/10.1145/3503161.3548546) ACM International Conference on Multimedia (ACM MM) · no summary yet**Haodong Duan et al.*2022 · 201 citations*
20. **[Multi-Level Logit Distillation ↗](https://doi.org/10.1109/cvpr52729.2023.02325) 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**Ying Jin, Jiaqi Wang, Dahua Lin*2023 · 152 citations*
21. **[SpotServe: Serving Generative Large Language Models on Preemptible Instances](https://md.research.elamur.ai/free/en/papers/miao-2023-spotserve-serving-generative-large-language/) [ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-architectural-support-for-programming-languages/)**Xupeng Miao, Chunan Shi, Jiangfei Duan, et al.*2023 · 145 citations*
22. **[Convolutional Sequence Generation for Skeleton-Based Action Synthesis ↗](https://doi.org/10.1109/iccv.2019.00449) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Sijie Yan et al.*2019 · 136 citations*
23. **[ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs ↗](https://aclanthology.org/2024.findings-emnlp.108/) Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yet**Jingming Zhuo et al.*2024 · 122 citations*
24. **[SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-salad-bench-hierarchical-comprehensive-safety/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lijun Li, Bowen Dong, Ruohui Wang, et al.*2024 · 119 citations*
25. **[Scene as Occupancy ↗](https://doi.org/10.1109/iccv51070.2023.00772) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Wenwen Tong et al.*2023 · 118 citations*
26. **[Recognize complex events from static images by fusing deep channels ↗](https://doi.org/10.1109/cvpr.2015.7298768) 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**Yuanjun Xiong et al.*2015 · 117 citations*
27. **[Alpha-CLIP: A CLIP Model Focusing on Wherever you Want ↗](https://doi.org/10.1109/cvpr52733.2024.01237) 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**Zeyi Sun et al.*2024 · 106 citations*
28. [**Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models arXiv:2310.02949**Xianjun Yang, Xiao Wang, Qi Zhang, et al.*2023 · 103 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-shadow-alignment-ease-subverting-safely/)
29. **[Lean Workbook: A large-scale Lean problem set formalized from natural language math problems](https://md.research.elamur.ai/free/en/papers/ying-2024-lean-workbook-large-scale-lean/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Huaiyuan Ying, Zijian Wu, Yihan Geng, et al.*2024 · 80 citations*
30. **[MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark](https://md.research.elamur.ai/free/en/papers/liu-2024-mathbench-evaluating-theory-application-proficiency/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongwei Liu, Zilong Zheng, Yuxuan Qiao, et al.*2024 · 70 citations*
31. **[HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting ↗](https://doi.org/10.1109/cvpr52733.2024.00635) 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**Xian Liu et al.*2024 · 68 citations*
32. **[Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2024-agent-flan-designing-data-methods/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zehui Chen, Kuikun Liu, Qiuchen Wang, et al.*2024 · 64 citations*
33. [**InternLM2.5-StepProver: Advancing Automated Theorem Proving via Critic-Guided Search arXiv:2410.15700**Zijian Wu, Suozhi Huang, Zhejian Zhou, et al.*2024 · 59 citations*](https://md.research.elamur.ai/free/en/papers/wu-2024-internlm2-5-stepprover-advancing-automated/)
34. **[Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation ↗](https://openalex.org/W2122340819) neural information processing systems · no summary yet**Dahua Lin*2013 · 56 citations*
35. [**Scaling Laws of RoPE-based Extrapolation arXiv:2310.05209**Xiaoran Liu, Hang Yan, Shuo Zhang, et al.*2023 · 54 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-scaling-laws-rope-based/)
36. **[MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving ↗](https://arxiv.org/abs/2404.02015) arXiv (Cornell University) · no summary yet**Jiangfei Duan et al.*2024 · 47 citations*
37. [**LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K arXiv:2402.05136**Tao Yuan, Xuefei Ning, Dong Zhou, et al.*2024 · 41 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2024-lv-eval-balanced-long-context/)
38. **[LEAN-GitHub: Compiling GitHub LEAN repositories for a versatile LEAN prover ↗](https://arxiv.org/abs/2407.17227) arXiv:2407.17227 · no summary yet**Zijian Wu et al.*2024 · 23 citations*
39. **[What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices](https://md.research.elamur.ai/free/en/papers/chen-2025-what-are-essential-factors-crafting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhi Chen, Qiguang Chen, Libo Qin, et al.*2025 · 15 citations*
40. [**CLEVA: Chinese Language Models EVAluation Platform arXiv:2308.04813**Yanyang Li, Jianqiao Zhao, Duo Zheng, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-cleva-chinese-language-models/)
41. [**Unearthing Large Scale Domain-Specific Knowledge from Public Corpora arXiv:2401.14624**Zhaoye Fei, Yunfan Shao, Linyang Li, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/fei-2024-unearthing-large-scale-domain-specific/)
42. [**InternLM-Law: An Open Source Chinese Legal Large Language Model arXiv:2406.14887**Zhiwei Fei, Songyang Zhang, Xiaoyu Shen, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/fei-2024-internlm-law-open-source/)
43. **[Timely Machine: Awareness of Time Makes Test-Time Scaling Agentic](https://md.research.elamur.ai/free/en/papers/ma-2026-timely-machine-awareness-time-makes/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yichuan Ma, Linyang Li, Yongkang Chen, et al.*2026 · 2 citations*