Chenyang Lyu 吕晨阳

Staff Researcher at Alibaba and PhD from Ml-Labs, Dublin City University
Glasnevin, Dublin
Ireland

Email: lyuchenyang.dcu [at] gmail [dot] com
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About

I am currently a Staff Researcher/Tech Lead at the Alibaba AI Business Group, where I head the speech team. Previously, I was a researcher at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), focusing on multilingual and multimodal large language models. I earned my Ph.D. in Machine Learning from Dublin City University's ML-Labs in 2023, following a Bachelor of Engineering from Northeastern University in China in 2018. My research lies primarily in natural language processing, especially the application of large models—including vision-language models—to multilingual and multimodal tasks. I have published over 30 papers at top-tier conferences such as ACL, EMNLP, NeurIPS, and ACM-MM, with my CoQuIR work selected for the SAC Highlights Award at ACL 2026 and my GPT4Video work nominated for the Best Paper Award at ACM-MM 2024. My Google Scholar citations exceed 1,600, with an h-index of 19, and the open-source projects I have led or contributed to have collectively garnered over 4k stars on GitHub. I won two championships and two runner-up prizes in the IWSLT 2025 speech translation competition. I also serve as an area chair, program committee member, shared task organizer, and reviewer for several leading conferences including ICLR, ACL, EMNLP, IJCAI, and ACM-MM. Prior to my current role, I gained extensive research experience in large language models through positions as a research assistant and visiting scholar at Tencent AI Lab, Japan's National Institute of Informatics (NII) and IBM Research-China. My work has been recognized with several awards, including the ACL 2026 SAC Highlights Award, the IWSLT 2025 Speech Translation Competition championship, the ACM-MM 2024 Best Paper nomination, the German DAAD AInet Fellowship, the 2023 Irish AI Young Talent of the Year Award and an SFI PhD Scholarship. Additionally, my research has been featured in media outlets such as Irish national broadcaster RTÉ, Slator, Irish Tech News, and Irish podcasts.

News

• [2026/07] Our paper CoQuIR is selected as an SAC Highlights Award at ACL 2026.
• [2026/07] Marco-MoE is accepted to COLM 2026.
• [2026/02] One paper elastic transformer is accepted to CVPR 2026.
• [2026/01] Three papers including Marco-Voice,Long Speech, MECAP-R1 are accepted to ICASSP 2026.
• [2025/12] Invited Industry Expert Talk on Marco Models at ACM Multimedia Asia 2025, hosted by Dr. Jianquan Liu (NEC).
• [2025/11] Invited Talk on LLMs Hallucination Detection at Southern University of Science and Technology (SUSTech), hosted by Dr. Linyi Yang.
• [2025/07] Our team secured Two Championships and Two Runner-ups at the IWSLT 2025 International Speech Translation Competition.
• [2025/05] Four papers including multilingual LLMs, hallucination detection are accepted to ACL 2025.
• [2024/10] Marco-LLM featured by global media including Bloomberg, CNBC, and South China Morning Post (SCMP).

• [2023/06]: We have released our Multi-modal Large Language Models named Macaw-LLM!.

Educational Background

• Sep 2019 - Jul 2023, Doctor of Philosophy in Computer Science, ML-Labs, Dublin City University
• Oct 2014 - June 2018, Bachelor of Engineering in Computer Software Engineering, Northeastern University

Research Experience

• Research Intern, Huawei Noah's Ark Lab, May 2020 - May 2021
• Research Intern, IBM Research-China, July 2018 - December 2018

Selected Publications

• 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
  In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) SAC Highlights Award
• 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
  In Findings of the Association for Computational Linguistics: ACL 2026
• Enhancing 3D Medical Multi-Modal Large Language Models with Integrated Human Body Priors for Computed Tomography
  Leilei Zeng, Jie Liu, Wenting Chen, Chenyang Lyu, Wenxi Li, Shaonan Liu, Xiande Zhou, Linlin Shen
  In Pattern Recognition, 2026
• Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling
  Fan Jiang, Yu Zhao, Chenyang Lyu, Tianqi Shi, Yichao Du, Feihu Jiang, Longyue Wang, Weihua Luo
  In Conference on Language Modeling (COLM 2026)
• Speech-XL: Towards Long-Form Speech Understanding in Large Speech Language Models
  Haoqin Sun, Chenyang Lyu, Shiwan Zhao, Xuanfan Ni, Xiangyu Kong, Longyue Wang, Weihua Luo, Yong Qin
  Preprint 2026
• CulturALL: Benchmarking Multilingual and Multicultural Competence of LLMs on Grounded Tasks
  Peiqin Lin, Chenyang Lyu, Wenjiang Luo, Haotian Ye, Md Mehrab Hossain, Chunlan Ma, Shaoxiong Ji, Younes Samih, Bo Zeng, Fan Jiang, Yuanbin Cao, Dilda Duisenbek, Adrian Neo Sau Xun, Daria Pozdniakova, Liubou Misevich, Nevena Marinkovic, Ngoc Gia Linh Nguyen, Thi Khanh Linh Do, Sarakmatak Sophy, Baotian Hu, Guanhua Chen, Gongbo Tang, Alham Fikri Aji, Longyue Wang, Weihua Luo
  Preprint 2026
• Crayotter: Traceable Multi-Agent Workflows for Long-Form Video Editing
  Lecheng Yan, Yichong Zhang, Ben Pan, Xiaoyu Zheng, Jiawei Qian, Anqi Wu, Wenxi Li, Chenyang Lyu
  Preprint 2026
• Trust No Tool: Evaluating and Defending LLM Agents under Untrusted Tool Feedback
  Lecheng Yan, Ruizhe Li, Xicheng Han, Wenxi Li, Binwu Wang, Longyue Wang, Chenyang Lyu, Guanhua Chen
  Preprint 2026
• SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures
  Nedjma Ousidhoum, Junho Myung, Carla Pérez-Almendros, Jiho Jin, Amr Keleg, Meriem Beloucif, Yi Zhou, Rodrigo Agerri, Vladimir Araujo, Naomi Baes, James Barry, Joanne Boisson, Nancy F. Chen, Christine de Kock, Aleksandra Edwards, Joseba Fernandez de Landa, Mohamed Fazli Imam, Huda Hakami, Shu-Kai Hsieh, Joseph Marvin Imperial, Roy Ka-Wei Lee, Zhengyuan Liu, Chenyang Lyu, Younes Samih, Johan Sjons, Bryan Tan, Asahi Ushio, Weihua Zheng, Alice Oh, José Camacho-Collados
  In Proceedings of the 20th International Workshop on Semantic Evaluation (SemEval-2026), ACL 2026 (Shared Task Organizer)
• Marco-ASR: A Principled and Metric-Driven Framework for Fine-Tuning Large-Scale ASR Models for Domain Adaptation
  Xuanfan Ni, Fei Yang, Fengping Tian, Qingjuan Li, Chenyang Lyu, Yichao Du, Longyue Wang, Weihua Luo, Kaifu Zhang
  Preprint 2025
• The Affective Bridge: Unifying Feature Representations for Speech Deepfake Detection
  Yupei Li, Chenyang Lyu, Longyue Wang, Weihua Luo, Kaifu Zhang, Björn W. Schuller
  Preprint 2025
• UniAVLM: Unified Large Audio-Visual Language Models for Comprehensive Video Understanding
  Lecheng Yan, Chenyang Lyu, Wenxi Li, Younes Samih, Shaochen Jiang
  In Pacific Rim International Conference on Artificial Intelligence (PRICAI 2025)
• 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
  In IEEE International Conference on Systems, Man, and Cybernetics (SMC 2025)
• 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
  In IEEE International Workshop on Multimedia Signal Processing (MMSP 2025)
• TransBench: Benchmarking Machine Translation for Industrial-Scale Applications
  Haijun Li, Tianqi Shi, Zifu Shang, Yuxuan Han, Xueyu Zhao, Hao Wang, Yu Qian, Zhiqiang Qian, Linlong Xu, Minghao Wu, Chenyang Lyu, Longyue Wang, Gongbo Tang, Weihua Luo, Zhao Xu, Kaifu Zhang
  Preprint 2025
• Rethinking Multilingual Vision-Language Translation: Dataset, Evaluation, and Adaptation
  Xintong Wang, Jingheng Pan, Yixiao Liu, Xiaohu Zhao, Chenyang Lyu, Minghao Wu, Chris Biemann, Longyue Wang, Linlong Xu, Weihua Luo, Kaifu Zhang
  Preprint 2025
• The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks
  Minghao Wu, Weixuan Wang, Sinuo Liu, Huifeng Yin, Xintong Wang, Yu Zhao, Chenyang Lyu, Longyue Wang, Weihua Luo, Kaifu Zhang
  Preprint 2025
• Towards Lightweight, Adaptive and Attribute-Aware Multi-Aspect Controllable Text Generation with Large Language Models
  Chenyu Zhu, Yefeng Liu, Chenyang Lyu, Xue Yang, Guanhua Chen, Longyue Wang, Weihua Luo, Kaifu Zhang
  Preprint 2025
• Can Multimodal LLMs do Visual Temporal Understanding and Reasoning? The answer is No!
  Mohamed Fazli Mohamed Imam, Chenyang Lyu, Alham Fikri Aji
  Preprint 2025
• Marco-LLM: Bridging Languages via Massive Multilingual Training for Cross-Lingual Enhancement
  Lingfeng Ming, Bo Zeng, Chenyang Lyu, Tianqi Shi, Yu Zhao, Xue Yang, Yefeng Liu, Yiyu Wang, Linlong Xu, Yangyang Liu, Xiaohu Zhao, Hao Wang, Heng Liu, Hao Zhou, Huifeng Yin, Zifu Shang, Haijun Li, Longyue Wang, Weihua Luo, Kaifu Zhang
  Preprint 2024
• Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
  Yu Zhao, Huifeng Yin, Bo Zeng, Hao Wang, Tianqi Shi, Chenyang Lyu, Longyue Wang, Weihua Luo, Kaifu Zhang
  Preprint 2024
• Large Language Models as Code Executors: An Exploratory Study
  Chenyang Lyu, Lecheng Yan, Rui Xing, Wenxi Li, Younes Samih, Tianbo Ji, Longyue Wang
  Preprint 2024
• On the Cultural Gap in Text-to-Image Generation
  Bingshuai Liu, Longyue Wang, Chenyang Lyu, Yong Zhang, Jinsong Su, Shuming Shi, Zhaopeng Tu
  In European Conference on Artificial Intelligence (ECAI 2024)
• Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models
  Chenyang Lyu, Minghao Wu, Alham Fikri Aji
  In Proceedings of the 1st Workshop on Towards Knowledgeable Language Models (KnowLLM 2024)
• Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation
  Longyue Wang, Siyou Liu, Chenyang Lyu, Wenxiang Jiao, Xing Wang, Jiahao Xu, Zhaopeng Tu, Yan Gu, Weiyu Chen, Minghao Wu, Liting Zhou, Philipp Koehn, Andy Way, Yulin Yuan
  In Proceedings of the Ninth Conference on Machine Translation (WMT 2024)
• 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
  In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)
• Gated Multi-modal Fusion with Cross-modal Contrastive Learning for Video Question Answering
  Chenyang Lyu, Wenxi Li, Tianbo Ji, Liting Zhou, Cathal Gurrin
  In International Conference on Artificial Neural Networks (ICANN 2023)
• Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs
  Longyue Wang, Zhaopeng Tu, Yan Gu, Siyou Liu, Dian Yu, Qingsong Ma, Chenyang Lyu, Liting Zhou, Chao-Hong Liu, Yufeng Ma, Weiyu Chen, Yvette Graham, Bonnie Webber, Philipp Koehn, Andy Way, Yulin Yuan, Shuming Shi
  In Proceedings of the Eighth Conference on Machine Translation (WMT 2023)
• LongSpeech: A Scalable Benchmark for Transcription, Translation and Understanding in Long Speech
  Fei Yang, Xuanfan Ni, Renyi Yang, Jiahui Geng, Qing Li, Chenyang Lyu*, Yichao Du, Longyue Wang, Weihua Luo, Kaifu Zhang
  In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2026)
• MECap-R1: Emotion-aware Policy with Reinforcement Learning for Multimodal Emotion Captioning
  Haoqin Sun, Chenyang Lyu*, Xiangyu Kong, Shiwan Zhao, Jiaming Zhou, Hui Wang, Aobo Kong, Jinghua Zhao, Longyue Wang, Weihua Luo, Kaifu Zhang, Yong Qin
  In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2026)
• Marco-Voice Technical Report
  Fengping Tian, Chenyang Lyu*, Xuanfan Ni, Haoqin Sun, Qingjuan Li, Zhiqiang Qian, Haijun Li, Longyue Wang, Zhao Xu, Weihua Luo, Kaifu Zhang
  In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2026)
• New Trends for Modern Machine Translation with Large Reasoning Models
  Sinuo Liu, Chenyang Lyu*, Minghao Wu, Longyue Wang, Weihua Luo, Kaifu Zhang
  In International Conference on Language Resources and Evaluation (LREC 2026)
• 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
  In AAAI Conference on Artificial Intelligence (AAAI 2026)
• ElasticFormer: Detecting Objects in HRW Shots via Elastic Computing Vision Transformer
  Xiang Li, Wenxi Li, Yuetong Wang, Chenyang Lyu, Haozhe Lin, Guiguang Ding, Yuchen Guo
  In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)
• Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models
  Wenxi Li, Jingchen Huang, Chenyang Lyu*, Mo-Ran Liu, Haozhe Lin, Guiguang Ding, Yuchen Guo
  In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)
• 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
  In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)
• 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
  In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)
• 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
  In Findings of the Association for Computational Linguistics: ACL 2025
• EditEval: Towards Comprehensive and Automatic Evaluation for Text-guided Video Editing
  Bingshuai Liu, Ante Wang, Zijun Min, Chenyang Lyu, Longyue Wang, Zhihao Wang, Xu Han, Peng Li, Jinsong Su
  In Proceedings of the 33rd ACM International Conference on Multimedia (ACM-MM 2025)
• Enhancing Video-Text Matching via Sparse Stratified Sampling
  Chenyang Lyu, Wenxi Li, Tianbo Ji, Liting Zhou, Pintu Lohar, Yi Yu, Longyue Wang
  In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025)
• Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language Models
  Bingshuai Liu*, Chenyang Lyu*, Zijun Min, Zhanyu Wang, Jinsong Su, Longyue Wang
  In 2025 International Joint Conference on Neural Networks (IJCNN 2025)
• CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
  David Romero*, Chenyang Lyu*, Haryo Akbarianto Wibowo, Teresa Lynn, Injy Hamed, Rada Mihalcea, Thamar Solorio, Alham Fikri Aji
  In Advances in Neural Information Processing Systems, Dataset and Benchmark Track (NeurIPS 2024) (Oral presentation)
• Reference-free Hallucination Detection for Large Vision-Language Models
  Qing Li, Chenyang Lyu, Jiahui Geng, Derui Zhu, Maxim Panov, Fakhri Karray
  In Findings of the Association for Computational Linguistics: EMNLP 2024
• GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation
  Zhanyu Wang, Longyue Wang, Zhen Zhao, Minghao Wu, Chenyang Lyu, Huayang Li, Deng Cai, Luping Zhou, Shuming Shi, Zhaopeng Tu
  In Proceedings of the 32nd ACM International Conference on Multimedia (ACM-MM 2024) Best Paper Awards Nomination
• 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
  In Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)
• Semantic Enrichment For Video Question Answering With Gated Graph Neural Networks
  Chenyang Lyu, Wenxi Li, Tianbo Ji, Yi Yu, Longyue Wang
  In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024)
• 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
  In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
• 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, Alham Fikri Aji, Preslav Nakov, Shantanu Godbole, Salim Roukos, Radu Florian, Nizar Habash
  In Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025)

• Graph-Based Video-Language Learning with Multi-Grained Audio-Visual Alignment [PDF][Code][Bibtex]
  Chenyang Lyu, Wenxi Li, Tianbo Ji, Longyue Wang, Liting Zhou, Cathal Gurrin, Linyi Yang, Yi Yu, Yvette Graham, Jennifer Foster
  In Proceedings of the 31st ACM International Conference on Multimedia, ACM-MM 2023

• Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration [PDF][Code][Bibtex]
  Chenyang Lyu, Minghao Wu, Longyue Wang, Xinting Huang, Bingshuai Liu, Zefeng Du, Shuming Shi, and Zhaopeng Tu.
  Preprint 2023 (1100+ stars on Github, 300,000 views and discussion on Twitter).

• Semantic-aware Dynamic Retrospective-Prospective Reasoning for Event-level Video Question Answering [PDF][Code][Bibtex]
  Chenyang Lyu, Tianbo Ji, Yvette Graham, and Jennifer Foster
  In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, ACL 2023

• Is a Video worth $n\times n$ Images? A Highly Efficient Approach to Transformer-based Video Question Answering [PDF][Code][Bibtex]
  Chenyang Lyu, Tianbo Ji, Yvette Graham, and Jennifer Foster
  In Proceedings of The Third Workshop on Simple and Efficient Natural Language Processing, ACL 2023

• Exploiting Rich Textual User-Product Context for Improving Personalised Sentiment Analysis [PDF][Code][Bibtex]
  Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham, Jennifer Foster
  In Findings of the 61th Annual Meeting of the Association for Computational Linguistics, ACL 2023

• New Trends in Machine Translation with Large Language Models [PDF] [Code][Bibtex]
  Chenyang Lyu, Zefeng Du, Jitao Xu, Derek F. Wong, Yitao Duan, Longyue Wang
  Symposium on Large Language Models at IJCAI2023

• Document-Level Machine Translation with Large Language Models [PDF] [Slides][Code][Bibtex]
  Longyue Wang*, Chenyang Lyu*, Tianbo Ji*, Zhirui Zhang*, Dian Yu, Shuming Shi, Zhaopeng Tu
  EMNLP 2023

• Dialogue-to-Video Retrieval [PDF] [Slides][Code][Bibtex]
  Chenyang Lyu, Manh-Duy Nguyen, Van-Tu Ninh, Liting Zhou, Cathal Gurrin, Jennifer Foster
  The 45th European Conference on Information Retrieval, ECIR 2023

• Extending the Scope of Out-of-Domain: Examining QA models in multiple subdomains [PDF] [Slides][Code][Bibtex]
  Chenyang Lyu, Jennifer Foster and Yvette Graham
  The 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022, Workshop on Insights from Negative Results in NLP

• Achieving Reliable Human Assessment of Open-Domain Dialogue Systems [PDF][Slides][Code][Bibtex]
  Tianbo Ji, Yvette Graham, Gareth J. F. Jones, Chenyang Lyu and Qun Liu
  The 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022

• Knowledge and Pre-trained Language Models Inside and Out: a deep-dive into datasets and external knowledge [PDF][slides][Bibtex]
  Chenyang Lyu
  PhD Transfer Report

• Improving Unsupervised Question Answering via Summarization-Informed Question Generation [PDF][Slides][Bibtex]
  Chenyang Lyu, Lifeng Shang, Yvette Graham, Jennifer Foster, Xin Jiang and Qun Liu
  The 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021

• Improving Document-Level Sentiment Analysis with User and Product Context [PDF][Slides] [Code][Bibtex]
  Chenyang Lyu, Jennifer Foster and Yvette Graham
  The 28th International Conference on Computational Linguistics, COLING 2020

Teaching Experience

• CA-146/297, Introduction to Programming, 2020, Dublin City University, Teaching Assistant
• CA-271, Machine Learning, 2022, Dublin City University, Guest Lecturer
• CA-168, Digital World, 2022, Dublin City University, Guest Lecturer

Professional Activities

• PC Member
  • The 45th European Conference on Information Retrieval, ECIR 2023
  • The 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023
  • The 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023
  • The 3rd Workshop on Financial Technology on the Web in conjunction with The Web Conference 2023, FinWeb 2023
• Conference Reviewer
  • The 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022
  • The 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022
  • The 29th International Conference on Computational Linguistics, COLING 2022
  • The 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023
• Workshop Reviewer
  • EvoNLP: The First Workshop on Ever Evolving NLP, EMNLP 2022
  • FinNLP: The Fourth Workshop on Financial Technology and Natural Language Processing, EMNLP 2022
  • FinWeb: The 3rd Workshop on Financial Technology on the Web, WWW 2023
• Journal Reviewer
  • IEEE Transaction on Multimedia, IEEE
  • Social Network Analysis and Mining, Springer
  • Connection Science, Taylor & Francis
• Regular Reviewer
  • ACL Rolling Review