Jiahui Geng

According to our database, Jiahui Geng authored at least 60 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CodeMMR: Bridging Natural Language, Code, and Image for Unified Retrieval.

Jiahui Geng, Qing Li, Fengyu Cai, Fakhri Karray

CoRR, April, 2026

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

CoRR, January, 2026

Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs.

Lecheng Yan, Ruizhe Li, Guanhua Chen, Qing Li, Jiahui Geng, Wenxi Li, Vincent Wang, Chris Lee

CoRR, January, 2026

The CLEF-2026 FinMMEval Lab: Multilingual and Multimodal Evaluation of Financial AI Systems.

Zhuohan Xie, Rania Elbadry, Fan Zhang, Georgi Georgiev, Xueqing Peng, Lingfei Qian, Jimin Huang, Dimitar Dimitrov, Vanshikaa Jani, Yuyang Dai, Jiahui Geng, Yuxia Wang, Ivan Koychev, Veselin Stoyanov, Preslav Nakov

Proceedings of the Advances in Information Retrieval, 2026

2025

M4FC: a Multimodal, Multilingual, Multicultural, Multitask Real-World Fact-Checking Dataset.

Jiahui Geng, Jonathan Tonglet, Iryna Gurevych

CoRR, October, 2025

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models.

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

CoRR, July, 2025

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, Walter Pretschner, Heinz Koeppl, Fakhri Karray

CoRR, June, 2025

Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities.

Jiahui Geng, Thy Thy Tran, Preslav Nakov, Iryna Gurevych

CoRR, June, 2025

CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation.

Emilio Villa-Cueva, Sholpan Bolatzhanova, Diana Turmakhan, Kareem Elzeky, Henok Biadglign Ademtew, Alham Fikri Aji, Israel Abebe Azime, Jinheon Baek, Frederico Belcavello, Fermin Cristobal, Jan Christian Blaise Cruz, Mary Dabre, Raj Dabre, Toqeer Ehsan, Naome A. Etori, Fauzan Farooqui, Jiahui Geng, Guido Ivetta, Thanmay Jayakumar, Soyeong Jeong, Zheng Wei Lim, Aishik Mandal, Sofía Martinelli, Mihail Minkov Mihaylov, Daniil Orel, Aniket Pramanick, Sukannya Purkayastha, Israfel Salazar, Haiyue Song, Tiago Timponi Torrent, Debela Desalegn Yadeta, Injy Hamed, Atnafu Lambebo Tonja, Thamar Solorio

CoRR, May, 2025

A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models.

Jiahui Geng, Qing Li, Herbert Woisetschlaeger, Zongxiong Chen, Yuxia Wang, Preslav Nakov, Hans-Arno Jacobsen, Fakhri Karray

CoRR, March, 2025

Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI.

Yuxia Wang, Rui Xing, Jonibek Mansurov, Giovanni Puccetti, Zhuohan Xie, Minh Ngoc Ta, Jiahui Geng, Jinyan Su, Mervat Abassy, Saad El Dine Ahmed, Kareem Ashraf Elozeiri, Nurkhan Laiyk, Maiya Goloburda, Tarek Mahmoud, Raj Vardhan Tomar, Alexander Aziz, Ryuto Koike, Masahiro Kaneko, Artem Shelmanov, Ekaterina Artemova, Vladislav Mikhailov, Akim Tsvigun, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov

CoRR, February, 2025

Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update.

Qing Li, Jiahui Geng, Zongxiong Chen, Kun Song, Lei Ma, Fakhri Karray

CoRR, January, 2025

Development and validation of multimodal deep learning algorithms for detecting pulmonary hypertension.

Wei Zhao, Zhihua Huang, Xiaolin Diao, Zhan Yang, Zhihui Zhao, Yun Xia, Qing Zhao, Zhaohong Sun, Qunying Xi, Yanni Huo, Ou Xu, Jiahui Geng, Xin Li, Anqi Duan, Sicheng Zhang, Luyang Gao, Yijia Wang, Sicong Li, Qin Luo, Zhihong Liu

npj Digit. Medicine, 2025

Federated Large Domain Model System.

Chunming Rong, Jungwon Seo, Zihan Zhao, Ferhat Özgür Çatak, Jiahui Geng, Martin Gilje Jaatun

Blockchain Res. Appl., 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

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

FIRE: Fact-checking with Iterative Retrieval and Verification.

Zhuohan Xie, Rui Xing, Yuxia Wang, Jiahui Geng, Hasan Iqbal, Dhruv Sahnan, Iryna Gurevych, Preslav Nakov

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

SAUCE: Selective Concept Unlearning in Vision-Language Models with Sparse Autoencoders.

Jiahui Geng, Qing Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation.

Emilio Villa-Cueva, Sholpan Bolatzhanova, Diana Turmakhan, Kareem Elzeky, Henok Biadglign Ademtew, Alham Fikri Aji, Vladimir Araujo, Israel Abebe Azime, Jinheon Baek, Frederico Belcavello, Fermin Cristobal, Jan Christian Blaise Cruz, Mary Dabre, Raj Dabre, Toqeer Ehsan, Naome A. Etori, Fauzan Farooqui, Jiahui Geng, Guido Ivetta, Thanmay Jayakumar, Soyeong Jeong, Zheng Wei Lim, Aishik Mandal, Sofía Martinelli, Mihail Minkov Mihaylov, Daniil Orel, Aniket Pramanick, Sukannya Purkayastha, Israfel Salazar, Haiyue Song, Tiago Timponi Torrent, Debela Desalegn Yadeta, Injy Hamed, Atnafu Lambebo Tonja, Thamar Solorio

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs.

Yuxia Wang, Minghan Wang, Hasan Iqbal, Georgi Nenkov Georgiev, Jiahui Geng, Iryna Gurevych, Preslav Nakov

Proceedings of the 31st International Conference on Computational Linguistics, 2025

GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human.

Yuxia Wang, Artem Shelmanov, Jonibek Mansurov, Akim Tsvigun, Vladislav Mikhailov, Rui Xing, Zhuohan Xie, Jiahui Geng, Giovanni Puccetti, Ekaterina Artemova, Jinyan Su, Minh Ngoc Ta, Mervat Abassy, Kareem Ashraf Elozeiri, Saad El Dine Ahmed El Etter, Maiya Goloburda, Tarek Mahmoud, Raj Vardhan Tomar, Nurkhan Laiyk, Osama Mohammed Afzal, Ryuto Koike, Masahiro Kaneko, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Overview of the "Voight-Kampff" Generative AI Authorship Verification Task at PAN and ELOQUENT 2025.

Janek Bevendorff, Yuxia Wang, Jussi Karlgren, Matti Wiegmann, Maik Fröbe, Akim Tsivgun, Jinyan Su, Zhuohan Xie, Mervat Abassy, Jonibek Mansurov, Rui Xing, Minh Ngoc Ta, Kareem Ashraf Elozeiri, Tianle Gu, Raj Vardhan Tomar, Jiahui Geng, Ekaterina Artemova, Artem Shelmanov, Nizar Habash, Efstathios Stamatatos, Iryna Gurevych, Preslav Nakov, Martin Potthast, Benno Stein

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

\mathsfCon Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities.

Jiahui Geng, Thy Thy Tran, Preslav Nakov, Iryna Gurevych

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models.

Lang Gao, Jiahui Geng, Xiangliang Zhang, Preslav Nakov, Xiuying Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update.

Qing Li, Jiahui Geng, Derui Zhu, Zongxiong Chen, Kun Song, Lei Ma, Fakhri Karray

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Improved Gradient Inversion Attacks and Defenses in Federated Learning.

Jiahui Geng, Yongli Mou, Qing Li, Feifei Li, Oya Beyan, Stefan Decker, Chunming Rong

IEEE Trans. Big Data, December, 2024

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark.

David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo, Teresa Lynn, Injy Hamed, Aditya Nanda Kishore, Aishik Mandal, Alina Dragonetti, Artem Abzaliev, Atnafu Lambebo Tonja, Bontu Fufa Balcha, Chenxi Whitehouse, Christian Salamea, Dan John Velasco, David Ifeoluwa Adelani, David Le Meur, Emilio Villa-Cueva, Fajri Koto, Fauzan Farooqui, Frederico Belcavello, Ganzorig Batnasan, Gisela Vallejo, Grainne Caulfield, Guido Ivetta, Haiyue Song, Henok Biadglign Ademtew, Hernán Maina, Holy Lovenia, Israel Abebe Azime, Jan Christian Blaise Cruz, Jay P. Gala, Jiahui Geng, Jesús-Germán Ortiz-Barajas, Jinheon Baek, Jocelyn Dunstan, Laura Alonso Alemany, Kumaranage Ravindu Yasas Nagasinghe, Luciana Benotti, Luis Fernando D'Haro, Marcelo Viridiano, Marcos Estecha-Garitagoitia, Maria Camila Buitrago Cabrera, Mario Rodríguez-Cantelar, Mélanie Jouitteau, Mihail Mihaylov, Mohamed Fazli Mohamed Imam, Muhammad Farid Adilazuarda, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Naome A. Etori, Olivier Niyomugisha, Paula Mónica Silva, Pranjal A. Chitale, Raj Dabre, Rendi Chevi, Ruochen Zhang, Ryandito Diandaru, Samuel Cahyawijaya, Santiago Góngora, Soyeong Jeong, Sukannya Purkayastha, Tatsuki Kuribayashi, Thanmay Jayakumar, Tiago Timponi Torrent, Toqeer Ehsan, Vladimir Araujo, Yova Kementchedjhieva, Zara Burzo, Zheng Wei Lim, Zheng Xin Yong, Oana Ignat, Joan Nwatu, Rada Mihalcea, Thamar Solorio, Alham Fikri Aji

CoRR, 2024

OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs.

Yuxia Wang, Minghan Wang, Hasan Iqbal, Georgi Nenkov Georgiev, Jiahui Geng, Preslav Nakov

CoRR, 2024

Multimodal Large Language Models to Support Real-World Fact-Checking.

Jiahui Geng, Yova Kementchedjhieva, Preslav Nakov, Iryna Gurevych

CoRR, 2024

Simultaneous state and fault estimation: A prescribed-time unknown input observer approach.

Jiahui Geng, Ning Xu, Xudong Zhao, Ze Tang, Jiancheng Zhang

Appl. Math. Comput., 2024

PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques.

Derui Zhu, Dingfan Chen, Xiongfei Wu, Jiahui Geng, Zhuo Li, Jens Grossklags, Lei Ma

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark.

David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo, Santiago Góngora, Aishik Mandal, Sukannya Purkayastha, Jesús-Germán Ortiz-Barajas, Emilio Villa-Cueva, Jinheon Baek, Soyeong Jeong, Injy Hamed, Zheng Xin Yong, Zheng Wei Lim, Paula Mónica Silva, Jocelyn Dunstan, Mélanie Jouitteau, David Le Meur, Joan Nwatu, Ganzorig Batnasan, Munkh-Erdene Otgonbold, Munkhjargal Gochoo, Guido Ivetta, Luciana Benotti, Laura Alonso Alemany, Hernán Maina, Jiahui Geng, Tiago Timponi Torrent, Frederico Belcavello, Marcelo Viridiano, Jan Christian Blaise Cruz, Dan John Velasco, Oana Ignat, Zara Burzo, Chenxi Whitehouse, Artem Abzaliev, Teresa Clifford, Grainne Caulfield, Teresa Lynn, Christian Salamea Palacios, Vladimir Araujo, Yova Kementchedjhieva, Mihail Mihaylov, Israel Abebe Azime, Henok Biadglign Ademtew, Bontu Fufa Balcha, Naome A. Etori, David Ifeoluwa Adelani, Rada Mihalcea, Atnafu Lambebo Tonja, Maria Camila Buitrago Cabrera, Gisela Vallejo, Holy Lovenia, Ruochen Zhang, Marcos Estecha-Garitagoitia, Mario Rodríguez-Cantelar, Toqeer Ehsan, Rendi Chevi, Muhammad Farid Adilazuarda, Ryandito Diandaru, Samuel Cahyawijaya, Fajri Koto, Tatsuki Kuribayashi, Haiyue Song, Aditya Khandavally, Thanmay Jayakumar, Raj Dabre, Mohamed Fazli Mohamed Imam, Kumaranage Ravindu Yasas Nagasinghe, Alina Dragonetti, Luis Fernando D'Haro, Olivier Niyomugisha, Jay Gala, Pranjal A. Chitale, Fauzan Farooqui, Thamar Solorio, Alham Fikri Aji

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

A Survey of Confidence Estimation and Calibration in Large Language Models.

Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, Iryna Gurevych

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Towards Trustworthy Dataset Distillation: A Benchmark of Privacy, Fairness and Robustness.

Zongxiong Chen, Jiahui Geng, Derui Zhu, Qing Li, Sonja Schimmler, Manfred Hauswirth

Proceedings of the International Joint Conference on Neural Networks, 2024

Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers.

Yuxia Wang, Revanth Gangi Reddy, Zain Muhammad Mujahid, Arnav Arora, Aleksandr Rubashevskii, Jiahui Geng, Osama Mohammed Afzal, Liangming Pan, Nadav Borenstein, Aditya Pillai, Isabelle Augenstein, Iryna Gurevych, Preslav Nakov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs.

Hasan Iqbal, Yuxia Wang, Minghan Wang, Georgi Nenkov Georgiev, Jiahui Geng, Iryna Gurevych, Preslav Nakov

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection.

Mervat Abassy, Kareem Ashraf Elozeiri, Alexander Aziz, Minh Ngoc Ta, Raj Vardhan Tomar, Bimarsha Adhikari, Saad El Dine Ahmed, Yuxia Wang, Osama Mohammed Afzal, Zhuohan Xie, Jonibek Mansurov, Ekaterina Artemova, Vladislav Mikhailov, Rui Xing, Jiahui Geng, Hasan Iqbal, Zain Muhammad Mujahid, Tarek Mahmoud, Akim Tsvigun, Alham Fikri Aji, Artem Shelmanov, Nizar Habash, Iryna Gurevych, Preslav Nakov

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Reference-free Hallucination Detection for Large Vision-Language Models.

Qing Li, Jiahui Geng, Chenyang Lyu, Derui Zhu, Maxim Panov, Fakhri Karray

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Taking Computation to Data: Integrating Privacy-preserving AI techniques and Blockchain Allowing Secure Analysis of Sensitive Data on Premise.

Jiahui Geng

PhD thesis, 2023

Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output.

Yuxia Wang, Revanth Gangi Reddy, Zain Muhammad Mujahid, Arnav Arora, Aleksandr Rubashevskii, Jiahui Geng, Osama Mohammed Afzal, Liangming Pan, Nadav Borenstein, Aditya Pillai, Isabelle Augenstein, Iryna Gurevych, Preslav Nakov

CoRR, 2023

A Survey of Language Model Confidence Estimation and Calibration.

Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, Iryna Gurevych

CoRR, 2023

A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness.

Zongxiong Chen, Jiahui Geng, Derui Zhu, Herbert Woisetschlaeger, Qing Li, Sonja Schimmler, Ruben Mayer, Chunming Rong

CoRR, 2023

Learning Parameterized ODEs From Data.

Qing Li, Steinar Evje, Jiahui Geng

IEEE Access, 2023

pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints.

Yongli Mou, Jiahui Geng, Feng Zhou, Oya Beyan, Chunming Rong, Stefan Decker

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Solving Nonlinear Conservation Laws of Partial Differential Equations Using Graph Neural Networks.

Qing Li, Jiahui Geng, Steinar Evje, Chunming Rong

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

A Survey on Dataset Distillation: Approaches, Applications and Future Directions.

Jiahui Geng, Zongxiong Chen, Yuandou Wang, Herbert Woisetschlaeger, Sonja Schimmler, Ruben Mayer, Zhiming Zhao, Chunming Rong

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

OpenIaC: open infrastructure as code - the network is my computer.

Chunming Rong, Jiahui Geng, Thomas J. Hacker, Haakon Bryhni, Martin Gilje Jaatun

J. Cloud Comput., 2022

An Image Region-Based Image Stitching Algorithm of Smartphones.

Xinwei Huo, Junqi Liu, Yusheng Liu, Jiahui Geng, Lei Zhang

Proceedings of the 14th IEEE International Conference on Advanced Infocomm Technology, 2022

Blockchain Empowered and Self-sovereign Access Control System.

Hanif Tadjik, Jiahui Geng, Martin Gilje Jaatun, Chunming Rong

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2022

Managing Digital Objects with Decentralised Identifiers based on NFT-like schema.

Chunming Rong, Jiahui Geng, Martin Gilje Jaatun

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2022

Blockchain-based Cross-organizational Workflow Platform.

Jiahui Geng, Ali Akbar Rehman, Yongli Mou, Stefan Decker, Chunming Rong

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2022

NFT as a proof of Digital Ownership-reward system integrated to a Secure Distributed Computing Blockchain Framework.

Asahi Cantu, Jiahui Geng, Chunming Rong

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2022

2021

Towards General Deep Leakage in Federated Learning.

Jiahui Geng, Yongli Mou, Feifei Li, Qing Li, Oya Beyan, Stefan Decker, Chunming Rong

CoRR, 2021

Optimized Federated Learning on Class-Biased Distributed Data Sources.

Yongli Mou, Jiahui Geng, Sascha Welten, Chunming Rong, Stefan Decker, Oya Beyan

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities.

Jiahui Geng, Neel Kanwal, Martin Gilje Jaatun, Chunming Rong

Proceedings of the EASE 2021: Evaluation and Assessment in Software Engineering, 2021

2018

Efficient Patch-Wise Semantic Segmentation for Large-Scale Remote Sensing Images.

Yan Liu, Qirui Ren, Jiahui Geng, Meng Ding, Jiangyun Li

Sensors, 2018

The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018.

Miguel Graça, Yunsu Kim, Julian Schamper, Jiahui Geng, Hermann Ney

Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder.

Yunsu Kim, Jiahui Geng, Hermann Ney

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018