Home Page of Jia Xu
I am a faculty member at Stevens Institute of Technology, specializing in natural language processing and machine learning. Previously, I served as an Associate Professor at the Chinese Academy of Sciences and as an Assistant Professor and Ph.D. advisor at Tsinghua University. I earned my Ph.D. from RWTH Aachen University under Prof. Hermann Ney, with research visits to Microsoft Research and IBM Watson. My work includes approximately 50 publications, 12 patents and provisional patents, and contributions to 18 top-ranking teams in major NLP competitions, including second place in the Amazon Alexa Prize Social Bot Challenge.
J. Xu
June 2015, Workshop of Open Machine Translation
J. Xu, J. Gao, K. Toutanova and H. Ney
2011, Handbook of Natural Language Processing and Machine Translation (Book chapter)
J. Xu
November 2002, Dissertation of Master of Computer Science
Principal Investigator. Project: Retailer Linked Dialogues: Chatting, Carting, and Caring.
Co-PI. Project on Quantum Technology Assisted with AI.
Principal Investigator. Project: Never Alone with Me (NAM).
Principal Investigator. Project: Center for Research toward Advanced Financial Technologies (CRAFT).
Co-PI. Project: Center for Accelerated Real Time Analytics (IUCRC Phase I,
Rutgers).
Grant No. 1747728
Co-PI. Project: Key Problems for Tightly-Coupled, Multi-Signal Fusion-based SLAM.
Grant No.
61672524
Principal Investigator. Project: Ensemble Learning in Machine Translation.
Grant No.
20156020
Principal Investigator. Project: Novel Machine Learning Methods.
Grant No. 20156020
Co-PI. Project: New Approaches to the Limits of Efficient Propositional
Reasoning.
Grant No. 20131351464
Principal Investigator. Project: Machine Learning and Machine Translation.
Graduate course on quantum-enhanced machine learning methods.
Graduate course.
Graduate course.
Graduate course.
Graduate course.
Graduate course.
Undergraduate course.
Graduate course.
Graduate & Undergraduate course.
Graduate course.
Undergraduate course.
Undergraduate course.
Graduate course.
Graduate course.
Undergraduate course.
Graduate course.
Undergraduate course.
Undergraduate course.
Graduate course.
Undergraduate course.
Graduate course.
Graduate course.
Undergraduate course.
Graduate course.
Undergraduate course, co-taught with multiple professors.
Undergraduate course.
Undergraduate course.
Graduate course, co-taught with Hans Uszkoreit and Martin Kay.
Hassan Sajjad, Fahim Dalvi, Firoj Alam, Nadir Durrani, Abdul Rafae Khan, and Jia Xu
Jianfeng Gao, Kristina Nikolova Toutanova, and Jia Xu
Postdoctoral researcher at Stevens Institute of Technology.
Ph.D. student at Stevens Institute of Technology.
Ph.D. student (Full-time Researcher at Meta from May 2025).
Ph.D. student (co-advised) at Stevens Institute of Technology.
M.Sc. student at Stevens Institute of Technology.
M.Sc. student at Stevens Institute of Technology.
M.Sc. student at Stevens Institute of Technology.
Thesis: Privacy in Federated Learning
Now at Microsoft
Thesis: Trust in the AI-R
Now at ICE
Thesis: Robust Neural Machine Translation
Now at Stevens
Thesis: (Research) Quality Estimation
Now at Amazon
Thesis: Chatbot for Student Mental Health
Now at Meta
Thesis: Reducing the Randomness in Chatbot Evaluation with Test-retest Match
Now at InfoSys
Thesis: Efficient Sub-sentence Classification
Now at Minnesota Government Agency
Thesis: Efficient Machine Learning Methods
Thesis: Pairwise Tracklet Association for Long-term Multiple Object
Now at Amazon
Thesis: Cross-domain Machine Translation
Now at Barclays
Thesis: Phrase-based Language Model for Statistical Machine Translation (SMT)
Thesis: Two-level Parallel Text Extraction from Comparable Corpora
Now at Xi’an Jiaotong-Liverpool University
Thesis: Efficiency and Security Calls Out Graph Partition Schemes in Federated Learning
Now at Yuanfudao
Thesis: Analysis of User Behaviors in Social Network
Now at Google
Thesis: Improvements on Word Alignment Models in SMT
Now at Microsoft
Thesis: Dirichlet Process Model for Phrase-based MT
Now at Midea Group
Thesis: A Comparative Study of Generative Model and Discriminative Model
Now at YeeZ Technology
Thesis: Machine Learning-based Crime Prediction