Calculated based on number of publications stored in Pure and citations from Scopus
20042023

Research activity per year

Search results

  • 2023

    ConceptX: A Framework for Latent Concept Analysis

    Alam, F., Dalvi, F., Durrani, N., Sajjad, H., Khan, A. R. & Xu, J., 27 Jun 2023, AAAI-23 Special Programs, IAAI-23, EAAI-23, Student Papers and Demonstrations. Williams, B., Chen, Y. & Neville, J. (eds.). p. 16395-16397 3 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    3 Scopus citations
  • LEARNING UNCERTAINTY FOR UNKNOWN DOMAINS WITH ZERO-TARGET-ASSUMPTION

    Yu, Y., Sajjad, H. & Xu, J., 2023.

    Research output: Contribution to conferencePaperpeer-review

    1 Scopus citations
  • Probabilistic Robustness for Data Filtering

    Yu, Y., Khan, A. R., Khadivi, S. & Xu, J., 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. p. 2942-2951 10 p. (EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • RoMA: Resilient Multi-Agent Reinforcement Learning with Dynamic Participating Agents

    Tang, X., Xu, J. & Wang, S., 2023, 2023 IEEE 12th International Conference on Cloud Networking, CloudNet 2023. p. 247-255 9 p. (2023 IEEE 12th International Conference on Cloud Networking, CloudNet 2023).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Unveiling Equity: Exploring Feature Dependency using Complex-Valued Neural Networks and Attention Mechanism for Fair Data Analysis

    Tang, X., Zhang, M., Khan, A. R., Yang, S. Y. & Xu, J., 2023, 2023 IEEE 12th International Conference on Cloud Networking, CloudNet 2023. p. 256-264 9 p. (2023 IEEE 12th International Conference on Cloud Networking, CloudNet 2023).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2022

    A clustering framework for lexical normalization of Roman Urdu

    Khan, A. R., Karim, A., Sajjad, H., Kamiran, F. & Xu, J., 10 Jan 2022, In: Natural Language Engineering. 28, 1, p. 93-123 31 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    2 Scopus citations
  • Analyzing Encoded Concepts in Transformer Language Models

    Sajjad, H., Durrani, N., Dalvi, F., Alam, F., Khan, A. R. & Xu, J., 2022, NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. p. 3082-3101 20 p. (NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    25 Scopus citations
  • Byte-based Multilingual NMT for Endangered Languages

    Zhang, M. & Xu, J., 2022, In: Proceedings - International Conference on Computational Linguistics, COLING. 29, 1, p. 4407-4417 11 p.

    Research output: Contribution to journalConference articlepeer-review

    3 Scopus citations
  • Can Data Diversity Enhance Learning Generalization?

    Yu, Y., Khadivi, S. & Xu, J., 2022, In: Proceedings - International Conference on Computational Linguistics, COLING. 29, 1, p. 4933-4945 13 p.

    Research output: Contribution to journalConference articlepeer-review

    15 Scopus citations
  • DISCOVERING LATENT CONCEPTS LEARNED IN BERT

    Dalvi, F., Khan, A. R., Alam, F., Durrani, N., Xu, J. & Sajjad, H., 2022.

    Research output: Contribution to conferencePaperpeer-review

    34 Scopus citations
  • Learning by Interpreting

    Tang, X., Khan, A. R., Wang, S. & Xu, J., 2022, Proceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022. De Raedt, L. & De Raedt, L. (eds.). p. 4390-4396 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Measuring Robustness for NLP

    Yu, Y., Khan, A. R. & Xu, J., 2022, In: Proceedings - International Conference on Computational Linguistics, COLING. 29, 1, p. 3908-3916 9 p.

    Research output: Contribution to journalConference articlepeer-review

    6 Scopus citations
  • SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models

    Khan, A. R., Kanade, H., Budhrani, G. A., Jhanglani, P. & Xu, J., 2022, WMT 2022 - 7th Conference on Machine Translation, Proceedings of the Conference. p. 1136-1144 9 p. (Conference on Machine Translation - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2021

    Grouping Words with Semantic Diversity

    Chubarian, K., Khan, A. R., Sidiropoulos, A. & Xu, J., 2021, NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. p. 3217-3228 12 p. (NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • 2020

    Coding textual inputs boosts the accuracy of neural networks

    Khan, A. R., Xu, J. & Sun, W., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. p. 1350-1360 11 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • 2019

    CUNY-PKU parser at SemEval-2019 task 1: Cross-lingual semantic parsing with UCCA

    Lyu, W., Huang, S., Khan, A. R., Zhang, S., Sun, W. & Xu, J., 2019, NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop. p. 92-96 5 p. (NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • 2018

    Hunter NMT System for WMT18 Biomedical Translation Task: Transfer Learning in Neural Machine Translation

    Khan, A. R., Panda, S., Xu, J. & Flokas, L., 2018, Shared Task Papers. p. 655-661 7 p. (WMT 2018 - 3rd Conference on Machine Translation, Proceedings of the Conference; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    12 Scopus citations
  • WCS: Weighted Component Stitching for Sparse Network Localization

    Sun, T., Wang, Y., Li, D., Gu, Z. & Xu, J., Oct 2018, In: IEEE/ACM Transactions on Networking. 26, 5, p. 2242-2253 12 p., 8464088.

    Research output: Contribution to journalArticlepeer-review

    14 Scopus citations
  • 2017

    Efficient online model adaptation by incremental simplex Tableau

    Lei, Z., Ye, X., Wang, Y., Li, D. & Xu, J., 2017, p. 2161-2167. 7 p.

    Research output: Contribution to conferencePaperpeer-review

    3 Scopus citations
  • Hunter MT: A course for young researchers in WMT17

    Xu, J., Kuang, Y. Z., Baijoo, S., Lee, H., Shahzad, U., Ahmed, M., Lancaster, M. & Carlan, C., 2017, WMT 2017 - 2nd Conference on Machine Translation, Proceedings. Bojar, O., Buck, C., Chatterjee, R., Federmann, C., Graham, Y., Haddow, B., Huck, M., Yepes, A. J., Koehn, P., Koehn, P. & Kreutzer, J. (eds.). p. 422-427 6 p. (WMT 2017 - 2nd Conference on Machine Translation, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • 2016

    On the power and limits of distance-based learning

    Papakonstantinou, P. A., Xu, J. & Yang, G., 2016, 33rd International Conference on Machine Learning, ICML 2016. Weinberger, K. Q. & Balcan, M. F. (eds.). p. 3332-3368 37 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 5).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2014

    An ant colony optimization method to detect communities in social networks

    Javadi, S. H. S., Khadivi, S., Shiri, M. E. & Xu, J., 10 Oct 2014, ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Ester, M., Xu, G., Wu, X. & Wu, X. (eds.). p. 200-203 4 p. 6921583. (ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    12 Scopus citations
  • Bagging by design (on the suboptimality of bagging)

    Papakonstantinou, P. A., Xu, J. & Cao, Z., 2014, Proceedings of the National Conference on Artificial Intelligence. p. 2041-2047 7 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 3).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • Query lattice for translation retrieval

    Dong, M., Cheng, Y., Liu, Y., Xu, J., Sun, M., Izuha, T. & Hao, J., 2014, COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers. p. 2031-2041 11 p. (COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    12 Scopus citations
  • 2013

    Salient object detection in image sequences via spatial-temporal cue

    Gan, C., Qin, Z., Xu, J. & Wan, T., 2013, IEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing. 6706438. (IEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • 2011

    DFKI Hybrid Machine Translation System for WMT 2011 - On the Integration of SMT and RBMT

    Xu, J., Uszkoreit, H., Kennington, C., Vilar, D. & Zhang, X., 2011, WMT 2011 - 6thWorkshop on Statistical Machine Translation, Proceedings of the Workshop. p. 485-489 5 p. (WMT 2011 - 6thWorkshop on Statistical Machine Translation, Proceedings of the Workshop).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • Enhancing Chinese word segmentation using unlabeled data

    Sun, W. & Xu, J., 2011, EMNLP 2011 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. p. 970-979 10 p. (EMNLP 2011 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    88 Scopus citations
  • 2010

    Further Experiments with Shallow Hybrid MT Systems

    Federmann, C., Eisele, A., Uszkoreit, H., Chen, Y., Hunsicker, S. & Xu, J., 2010, ACL 2010 - Joint 5th Workshop on Statistical Machine Translation and MetricsMATR, WMT 2010, Proceedings of the Workshop. p. 77-81 5 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    10 Scopus citations
  • 2008

    Bayesian semi-supervised Chinese word segmentation for statistical machine translation

    Xu, J., Gao, J., Toutanova, K. & Ney, H., 2008, Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference. p. 1017-1024 8 p. (Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    53 Scopus citations
  • Phrase table training for precision and recall: What makes a good phrase and a good phrase pair?

    Deng, Y., Xu, J. & Gao, Y., 2008, ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. p. 81-88 8 p. (ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    14 Scopus citations
  • 2006

    Error analysis of statistical machine translation output

    Vilar, D., Xu, J., D'Haro, L. F. & Ney, H., 2006, p. 697-702. 6 p.

    Research output: Contribution to conferencePaperpeer-review

    213 Scopus citations
  • Partitioning parallel documents using binary segmentation

    Xu, J., Zens, R. & Ney, H., 2006, p. 78-85. 8 p.

    Research output: Contribution to conferencePaperpeer-review

    6 Scopus citations
  • 2005

    Integrated Chinese Word Segmentation in Statistical Machine Translation

    Xu, J., Matusov, E., Zens, R. & Ney, H., 2005, p. 131-137. 7 p.

    Research output: Contribution to conferencePaperpeer-review

    25 Scopus citations
  • Sentence segmentation using IBM word alignment model 1

    Xu, J., Zens, R. & Ney, H., 2005, p. 280-287. 8 p.

    Research output: Contribution to conferencePaperpeer-review

    27 Scopus citations
  • The RWTH Phrase-based Statistical Machine Translation System

    Zens, R., Bender, O., Hasan, S., Khadivi, S., Matusov, E., Xu, J., Zhang, Y. & Ney, H., 2005, p. 145-152. 8 p.

    Research output: Contribution to conferencePaperpeer-review

    32 Scopus citations
  • 2004

    Do we need Chinese word segmentation for statistical machine translation?

    Xu, J., Zens, R. & Ney, H., 2004, p. 122-128. 7 p.

    Research output: Contribution to conferencePaperpeer-review

    37 Scopus citations