Chenyang Lyu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
16
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | GigaMoE: Sparsity-Guided Mixture of Experts for Efficient Gigapixel Object Detection. | Xiang Li, Wenxi Li, Yuetong Wang, Chenyang Lyu, Haozhe Lin, Guiguang Ding, Yuchen Guo |
| 2026 | ACL | CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval. | Jiahui Geng, Fengyu Cai, Shaobo Cui, Qing Li, Liangwei Chen, Chenyang Lyu, Haonan Li, Derui Zhu, Alexander Pretschner, Heinz Koeppl, Fakhri Karray |
| 2026 | ACL | ReFreeKV: Towards Threshold-Free KV Cache Compression. | Xuanfan Ni, Liyan Xu, Chenyang Lyu, Longyue Wang, Mo Yu, Lemao Liu, Fandong Meng, Jie Zhou, Piji Li |
| 2026 | LREC | New Trends for Modern Machine Translation with Large Reasoning Models. | Sinuo Liu, Chenyang Lyu, Minghao Wu, Zifu Shang, Longyue Wang, Weihua Luo, Kaifu Zhang |
| 2025 | ACL | HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs. | Qing Li, Jiahui Geng, Zongxiong Chen, Derui Zhu, Yuxia Wang, Congbo Ma, Chenyang Lyu, Fakhri Karray |
| 2025 | ACL | VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration. | Jiahui Geng, Qing Li, Zongxiong Chen, Yuxia Wang, Derui Zhu, Zhuohan Xie, Chenyang Lyu, Xiuying Chen, Preslav Nakov, Fakhri Karray |
| 2025 | ACL | Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models. | Huifeng Yin, Yu Zhao, Minghao Wu, Xuanfan Ni, Bo Zeng, Hao Wang, Tianqi Shi, Liangying Shao, Chenyang Lyu, Longyue Wang, Weihua Luo, Kaifu Zhang |
| 2025 | ACL | Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language. | Bo Zeng, Chenyang Lyu, Sinuo Liu, Mingyan Zeng, Minghao Wu, Xuanfan Ni, Tianqi Shi, Yu Zhao, Yefeng Liu, Chenyu Zhu, Ruizhe Li, Jiahui Geng, Qing Li, Yu Tong, Longyue Wang, Weihua Luo, Kaifu Zhang |
| 2025 | COLING | From Multiple-Choice to Extractive QA: A Case Study for English and Arabic. | Teresa Lynn, Malik H. Altakrori, Samar Mohamed Magdy, Rocktim Jyoti Das, Chenyang Lyu, Mohamed Nasr, Younes Samih, Kirill Chirkunov, Alham Fikri Aji, Preslav Nakov, Shantanu Godbole, Salim Roukos, Radu Florian, Nizar Habash |
| 2025 | ICASSP | Enhancing Video-Text Matching via Sparse Stratified Sampling. | Chenyang Lyu, Wenxi Li, Tianbo Ji, Liting Zhou, Pintu Lohar, Yi Yu, Longyue Wang |
| 2025 | IJCNN | Retrieval-Augmented Multi-Modal Chain-of-Thoughts Reasoning for Large Language Models. | Bingshuai Liu, Chenyang Lyu, Zijun Min, Zhanyu Wang, Jinsong Su, Longyue Wang |
| 2025 | MMSP | Rethinking Document Layout Analysis through Text Clustering via Multi-Modal Graph Convolution Networks. | Wenxi Li, Chenyang Lyu, Wei Ji, Liting Zhou, Cathal Gurrin, Yuchen Guo |
| 2025 | PRICAI | UniAVLM: Unified Large Audio-Visual Language Models for Comprehensive Video Understanding. | Lecheng Yan, Chenyang Lyu, Wenxi Li, Younes Samih, Shaochen Jiang |
| 2025 | SMC | On the Taxonomy, Tasks, and Open-Challenges for Multimodal Large Language Models. | Lecheng Yan, Ruizhe Li, Jiahui Geng, Qing Li, Minghao Wu, Zhanyu Wang, Wenxi Li, Tianbo Ji, Shaochen Jiang, Chenyang Lyu |
| 2024 | ACL | Benchmarking and Improving Long-Text Translation with Large Language Models. | Longyue Wang, Zefeng Du, Wenxiang Jiao, Chenyang Lyu, Jianhui Pang, Leyang Cui, Kaiqiang Song, Derek F. Wong, Shuming Shi, Zhaopeng Tu |
| 2024 | COLING | A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models. | Chenyang Lyu, Zefeng Du, Jitao Xu, Yitao Duan, Minghao Wu, Teresa Lynn, Alham Fikri Aji, Derek F. Wong, Longyue Wang |
| 2024 | ECAI | On the Cultural Gap in Text-to-Image Generation. | Bingshuai Liu, Longyue Wang, Chenyang Lyu, Yong Zhang, Jinsong Su, Shuming Shi, Zhaopeng Tu |
| 2024 | EMNLP | Reference-free Hallucination Detection for Large Vision-Language Models. | Qing Li, Jiahui Geng, Chenyang Lyu, Derui Zhu, Maxim Panov, Fakhri Karray |
| 2024 | ICASSP | Semantic Enrichment for Video Question Answering with Gated Graph Neural Networks. | Chenyang Lyu, Wenxi Li, Tianbo Ji, Yi Yu, Longyue Wang |
| 2024 | SP | SyzTrust: State-aware Fuzzing on Trusted OS Designed for IoT Devices. | Qinying Wang, Boyu Chang, Shouling Ji, Yuan Tian, Xuhong Zhang, Binbin Zhao, Gaoning Pan, Chenyang Lyu, Mathias Payer, Wenhai Wang, Raheem Beyah |
| 2023 | ACL | Semantic-Aware Dynamic Retrospective-Prospective Reasoning for Event-Level Video Question Answering. | Chenyang Lyu, Tianbo Ji, Yvette Graham, Jennifer Foster |
| 2023 | ACL | Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis. | Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham, Jennifer Foster |
| 2023 | ECIR | Dialogue-to-Video Retrieval. | Chenyang Lyu, Manh-Duy Nguyen, Van-Tu Ninh, Liting Zhou, Cathal Gurrin, Jennifer Foster |
| 2023 | EMNLP | Document-Level Machine Translation with Large Language Models. | Longyue Wang, Chenyang Lyu, Tianbo Ji, Zhirui Zhang, Dian Yu, Shuming Shi, Zhaopeng Tu |
| 2023 | EMNLP | Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future. | Linyi Yang, Yaoxian Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Jingming Zhuo, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang |
| 2023 | ICANN | Gated Multi-modal Fusion with Cross-modal Contrastive Learning for Video Question Answering. | Chenyang Lyu, Wenxi Li, Tianbo Ji, Liting Zhou, Cathal Gurrin |
| 2022 | ACL | Achieving Reliable Human Assessment of Open-Domain Dialogue Systems. | Tianbo Ji, Yvette Graham, Gareth J. F. Jones, Chenyang Lyu, Qun Liu |
| 2022 | ISSTA | SLIME: program-sensitive energy allocation for fuzzing. | Chenyang Lyu, Hong Liang, Shouling Ji, Xuhong Zhang, Binbin Zhao, Meng Han, Yun Li, Zhe Wang, Wenhai Wang, Raheem Beyah |
| 2022 | ISSTA | A large-scale empirical analysis of the vulnerabilities introduced by third-party components in IoT firmware. | Binbin Zhao, Shouling Ji, Jiacheng Xu, Yuan Tian, Qiuyang Wei, Qinying Wang, Chenyang Lyu, Xuhong Zhang, Changting Lin, Jingzheng Wu, Raheem Beyah |
| 2022 | NDSS | EMS: History-Driven Mutation for Coverage-based Fuzzing. | Chenyang Lyu, Shouling Ji, Xuhong Zhang, Hong Liang, Binbin Zhao, Kangjie Lu, Raheem Beyah |
| 2021 | EMNLP | Improving Unsupervised Question Answering via Summarization-Informed Question Generation. | Chenyang Lyu, Lifeng Shang, Yvette Graham, Jennifer Foster, Xin Jiang, Qun Liu |
| 2020 | COLING | Improving Document-Level Sentiment Analysis with User and Product Context. | Chenyang Lyu, Jennifer Foster, Yvette Graham |
| 2020 | ECIR | Incorporating Context and Knowledge for Better Sentiment Analysis of Narrative Text. | Chenyang Lyu, Tianbo Ji, Yvette Graham |