--- title: "Who cites Ziqi Huang — 186 papers of our library" description: "186 papers of the Elamur Research library cite the works of Ziqi Huang, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/ziqi-huang/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ziqi-huang/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Ziqi Huang](https://md.research.elamur.ai/free/en/authors/ziqi-huang/) / cited by # Who cites Ziqi Huang 188 citations of their works from 186 papers of our library (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · [← Ziqi Huang](https://md.research.elamur.ai/free/en/authors/ziqi-huang/) 1. [**Wan: Open and Advanced Large-Scale Video Generative Models arXiv:2503.20314**Team Wan, Ang Wang, Baole Ai, et al.*2025 · 260 citations*](https://md.research.elamur.ai/free/en/papers/wan-2025-wan-open-advanced-large-scale/) 2. [**CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer arXiv:2408.06072**Zhuoyi Yang, Jiayan Teng, Wendi Zheng, et al.*2024 · 184 citations*](https://md.research.elamur.ai/free/en/papers/yang-2024-cogvideox-text-video-diffusion/) 3. **[Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion](https://md.research.elamur.ai/free/en/papers/huang-2025-self-forcing-bridging-train-test/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Xun Huang, Zhengqi Li, Guande He, et al.*2025 · 146 citations* 4. [**We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? arXiv:2407.01284**Runqi Qiao, Qiuna Tan, Guanting Dong, et al.*2024 · 65 citations*](https://md.research.elamur.ai/free/en/papers/qiao-2024-math-large-multimodal-model-achieve/) 5. [**XAttention: Block Sparse Attention with Antidiagonal Scoring arXiv:2503.16428**Ruyi Xu, Guangxuan Xiao, Haofeng Huang, et al.*2025 · 59 citations*](https://md.research.elamur.ai/free/en/papers/xu-2025-xattention-block-sparse-attention-antidiagonal/) 6. **[Personalized Generation In Large Model Era: A Survey](https://md.research.elamur.ai/free/en/papers/xu-2025-personalized-generation-large-model-era/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yiyan Xu, Jinghao Zhang, Alireza Salemi, et al.*2025 · 24 citations* 7. **[MorphMark: Flexible Adaptive Watermarking for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-morphmark-flexible-adaptive-watermarking-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zongqi Wang, Tianle Gu, Baoyuan Wu, et al.*2025 · 12 citations* 8. [**ERNIE 5.0 Technical Report arXiv:2602.04705**Haifeng Wang, Hua Wu, Tian Wu, et al.*2026 · 7 citations*](https://md.research.elamur.ai/free/en/papers/wang-2026-ernie-5-0-technical/) 9. **[Uni-MMMU: A Massive Multi-discipline Multimodal Unified Benchmark](https://md.research.elamur.ai/free/en/papers/zou-2026-uni-mmmu-massive-multi-discipline/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kai Zou, Ziqi Huang, Yuhao Dong, et al.*2026 · 3 citations* 10. **[MAViS: A Multi-Agent Framework for Long-Sequence Video Storytelling](https://md.research.elamur.ai/free/en/papers/wang-2026-mavis-multi-agent-framework-long/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Qian Wang, Ziqi Huang, Ruoxi Jia, et al.*2026 · 1 citation* 11. **[Bringing Real-World Relations into Video Generation with Graph-Structured Knowledge](https://md.research.elamur.ai/free/en/papers/park-2026-bringing-real-world-relations-into/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Joonhyung Park, Jaeyun Song, Sihwan Park, et al.*2026* 12. **[Editing the Moving World: Model Editing for Video LLMs](https://md.research.elamur.ai/free/en/papers/zhang-2026-editing-moving-world-model-editing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qian Zhang, Xinye Li, Xiaokai Wu, et al.*2026* 13. **[MSVBench: Towards Human-Level Evaluation of Multi-Shot Video Generation](https://md.research.elamur.ai/free/en/papers/shi-2026-msvbench-human-level-evaluation-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoyuan Shi, Yunxin li, Nanhao Deng, et al.*2026* 14. **[SCMAPR: Self-Correcting Multi-Agent Prompt Refinement for Complex-Scenario Text-to-Video Generation](https://md.research.elamur.ai/free/en/papers/yang-2026-scmapr-self-correcting-multi-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chengyi Yang, Pengzhen Li, Jiayin Qi, et al.*2026* 15. **[TeachMaster: Generative Teaching via Code](https://md.research.elamur.ai/free/en/papers/wang-2026-teachmaster-generative-teaching-code/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuheng Wang, Runde Yang, Lin Wu, et al.*2026* 16. **[Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and Reasoning](https://md.research.elamur.ai/free/en/papers/wan-2026-test-time-scaling-multimodal-foundation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cong Wan, Ying He, Zhongzhan Huang, et al.*2026* 170 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/ziqi-huang/) — Ziqi Huang