Siyu Zhu
Siyu Zhu has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with Hanchen Xia, Hao Chen, Jinhao Cui.
OpenAlex · ORCID · h-index 22 · 68 works · 3,104 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 98 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #8184
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 worksHardware and Architecture · 1 workCognitive Neuroscience · 1 workNeuroscience · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 3 works
Works by year
2020s
Papers
- Liger Kernel: Efficient Triton Kernels for LLM Training (2024 · 87 citations)
Training large language models is costly. Running PyTorch step by step in eager mode adds overhead from dispatching and kernel launches, and storing every intermediate activation for the backward pass uses a lot of GPU memory. A LinkedIn team presents Liger-Kernel, an open-source library of GPU kernels written in… - Modeling Multi-Dimensional Cognitive States in Large Language Models under Cognitive Crowding (2026)
Most LLM work on human cognition treats emotion, stance or intent as separate tasks. Psychology, however, views these dimensions as one interacting system. The authors build CognitiveBench, an English Twitter (X) dataset with expert labels for four dimensions at once: emotion, thinking style, stance and intent. On… - T: Progressive Block Scaling for Masked Diffusion Language Models Through Trajectory Aware Reinforcement Learning (2026)
Masked diffusion language models (MDMs) usually decode in blocks. Larger blocks allow more tokens to be finalized in parallel, but math reasoning accuracy tends to drop as block size grows, especially for smaller models. The authors propose T⋆, a curriculum built on the trajectory-aware RL method TraceRL. It starts…
All works
- Neural Window Fully-connected CRFs for Monocular Depth Estimation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetWeihao Yuan et al.2022 · 372 citations
- CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetLizhe Liu et al.2021 · 348 citations
- Batch DropBlock Network for Person Re-Identification and Beyond ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetZuozhuo Dai et al.2019 · 261 citations
- Liger Kernel: Efficient Triton Kernels for LLM TrainingarXiv:2410.10989Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli, et al.2024 · 87 citations
- Modeling Multi-Dimensional Cognitive States in Large Language Models under Cognitive CrowdingFindings of the Association for Computational LinguisticsLin Zhong, Siyu Zhu, Zizhen Yuan, et al.2026
- T: Progressive Block Scaling for Masked Diffusion Language Models Through Trajectory Aware Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Hanchen Xia, Baoyou Chen, Yutang Ge, et al.2026
Co-authors here
Venues
- IEEE/CVF International Conference on Computer Vision (ICCV) ×2
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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