Who cites Ligeng Zhu
- EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksInternational Conference on Machine Learning (ICML)Mingxing Tan, Quoc V. Le2019 · 5,416 citations
- Efficient Transformers: A SurveyACM Computing SurveysYi Tay, Mostafa Dehghani, Dara Bahri, et al.2020 · 1,539 citations
- Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and EvaluationIEEE/CVF International Conference on Computer Vision (ICCV)Xin Chen, Lingxi Xie, Jun Wu, et al.2019 · 732 citations
- SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head PruningProceedings - International Symposium on High-Performance Computer Architecture/ProceedingsHanrui Wang, Zhekai Zhang, Song Han2020 · 534 citations
- HAT: Hardware-Aware Transformers for Efficient Natural Language ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL)Hanrui Wang, Zhanghao Wu, Zhijian Liu, et al.2020 · 294 citations
- Once-for-All: Train One Network and Specialize it for Efficient DeploymentarXiv:1908.09791Han Cai, Chuang Gan, Tianzhe Wang, et al.2019 · 252 citations
- Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall SpacesIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJihan Yang, Shusheng Yang, Anjali W. Gupta, et al.2024 · 182 citations
- Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.2023 · 145 citations
- Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xuyang Liu, Yiyu Wang, Junpeng Ma, et al.2025 · 16 citations
- Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QAConference of the European Chapter of the Association for Computational Linguistics (EACL)Jongwoo Park, Kanchana Ranasinghe, Kumara Kahatapitiya, et al.2026 · 13 citations
- Audio-centric Video Understanding Benchmark without Text ShortcutConference on Empirical Methods in Natural Language Processing (EMNLP)Yudong Yang, Jimin Zhuang, Guangzhi Sun, et al.2025 · 10 citations
- SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token PruningConference on Empirical Methods in Natural Language Processing (EMNLP)Yicheng Ji, Jun Zhang, Heming Xia, et al.2025 · 10 citations
- VideoPro: Adaptive Program Reasoning for Long Video UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Chenglin Li, Feng Han, Yikun Wang, et al.2026 · 6 citations
- INFACT: A Diagnostic Benchmark for Induced Faithfulness and Factuality Hallucinations in Video-LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yangjunqi, Yuecong Min, Jie Zhang, et al.2026 · 5 citations
- BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Bryan Chen Zhengyu Tan, Weihua Zheng, Zhengyuan Liu, et al.2026 · 2 citations
- Cross-layer Attention Sharing for Pre-trained Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Yongyu Mu, Yuzhang Wu, Yuchun Fan, et al.2026 · 2 citations
- USB: A COMPREHENSIVE AND UNIFIED SAFETY EVALUATION BENCHMARK FOR MULTIMODAL LARGE LANGUAGE MODELSAnnual Meeting of the Association for Computational Linguistics (ACL)Baolin Zheng, Guanlin Chen, Qingyang Teng, et al.2026 · 1 citation
- A Survey of Large Models in SportsFindings of the Association for Computational LinguisticsYichen Xu, Jianzhe Ma, Chuhan Wang, et al.2026
- Minimal Clips, Maximum Salience: Long Video Summarization via Key Moment ExtractionInternational Workshop on Spoken Dialogue System TechnologyGalann Pennec, Zhengyuan Liu, Nicholas Asher, et al.2026
- Scaling Law for Multimodal Large Language Model Supervised Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)YiFan Zhang, Tao Yu, Feng Li, et al.2026
- VIGiA: Instructional Video Guidance via Dialogue Reasoning and RetrievalFindings of the Association for Computational LinguisticsDiogo Glória-Silva, David Semedo, Joao Magalhaes2026
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