Haifeng Wang

Haifeng Wang （王海峰）

CTO, Baidu

Director, National Engineering Research Center of Deep Learning Technology and Application

Email: wanghaifeng [at] baidu [dot] com
Address: Baidu Technology Park, Beijing, China, 100193

Education

PhD., Computer Science, Harbin Institute of Technology, 1999
M.S., Computer Science, Harbin Institute of Technology, 1996
B.S., Computer Science, Harbin Institute of Technology, 1993

Professional Experience

Chief Technology Officer, Baidu
2019 – Present
Joined Baidu in 2010, and promoted to vice president in 2013 and senior vice president in 2018 respectively. Started and led the research and development of core AI technologies spanning Natural Language Processing, Deep Learning, Large Language Model, Speech, Computer Vision, Machine Learning, Knowledge Graphs. Oversaw Baidu’s major product lines, including Search, Translate, Maps, and Intelligent Cloud, etc.
Chief Scientist, Toshiba (China) R&D Center
2002 – 2010
Started and led the research and development of Natural Language Processing, Machine Translation and Speech.
Research Scientist, iSilk.com, Hong Kong
2000 – 2002
Associate Researcher, Microsoft Research Asia (MSRA)
1999 – 2000

Honors

National Outstanding Engineer, 2024
Beijing Scholar, 2023
Fellow, IEEE, 2022, for contributions and leadership in natural language processing and AI technologies.
National Technological Invention Award of China, 2021
China Patent Gold Award, 2021
Academician, International Eurasian Academy of Science, 2021
Guanghua Engineering Science and Technology Award, 2020, for significant contributions to large-scale industrial applications of AI technologies.
Fellow, Chinese Association for Artificial Intelligence, 2018
The Outstanding Contribution Award of Wu Wenjun Artificial Intelligence Science and Technology Award, 2018
Fellow, ACL, 2016, for significant contributions to MT, NLP and search engines in both academia and industry, and to the growth of the ACL in Asia.
National Science & Technology Progress Award of China, 2015

Research interests

Large Language Model
Natural Language Processing
Deep Learning
Machine Translation
Search
Knowledge Graph

Selected Publications (Full list available on Google Scholar)

ERNIE 5.0 Technical Report. 2026.
ERNIE 4.5 Technical Report. 2025.
Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation. ACM SIGIR-2025.
An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation. NAACL-2024.
Neural Machine Translation: Technology and Industrial Applications. China Machine Press. 2023.
Pre-Trained Language Models and Their Applications. Engineering. 2023.
Geometry-enhanced Molecular Representation Learning for Property Prediction. Nature Machine Intelligence. 2022.
TOD-DA: Towards Boosting the Robustness of Task-oriented Dialogue Modeling on Spoken Conversations. AAAI-2022.
ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora. EMNLP-2021.
DuRecDial 2.0: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Conversational Recommendation. EMNLP-2021.
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps. CIKM-2021.
Progress in Machine Translation. Engineering. 2022.
Discovering Dialog Structure Graph for Coherent Dialog Generation. ACL/IJCNLP-2021.
ERNIE-Doc: A Retrospective Long-Document Modeling Transformer. ACL/IJCNLP-2021.
Link Prediction on N-ary Relational Facts: A Graph-based Approach. ACL/IJCNLP-2021.
ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding. NAACL-2021.
HGAMN: Heterogeneous Graph Attention Matching Network for Multilingual POI Retrieval at Baidu Maps. KDD-2021.
ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graph. AAAI-2021.
A Unified Pre-training Framework for Conversational AI. AAAI-2021.
Learning to Select External Knowledge with Multi-Scale Negative Sampling. AAAI-2021.
The Development of Deep Learning Technologies. Springer Nature. 2020.
Enhancing Dialog Coherence with Event Graph Grounded Content Planning. IJCAI-2020.
ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation. IJCAI-2020.
Multi-Task Learning for Entity Recommendation and Document Ranking in Web Search. ACM TIST. 2020.
Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation. ACL-2020.
Towards Conversational Recommendation over Multi-Type Dialogs. ACL-2020.
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding. AAAI-2020.
Knowledge Graph Grounded Goal Planning for Open-Domain Conversation Generation. AAAI-2020.
Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding. AAAI-2020.
Proactive Human-Machine Conversation with Explicit Conversation Goals. ACL-2019.
Joint Extraction of Entities and Overlapping Relations using Position-Attentive Sequence Labeling. AAAI-2019.
Modeling Coherence for Discourse Neural Machine Translation. AAAI-2019.
Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs. EMNLP-2019.
Multi-agent Learning for Neural Machine Translation. EMNLP-2019.
MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data. CIKM-2019.
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification. ACL-2018.
Improving Entity Recommendation with Search Log and Multi-Task Learning. IJCAI-2018.
Entity Highlight Generation as Statistical and Neural Machine Translation. IEEE/ACM TASLP. 2018.
Learning to Explain Entity Relationships by Pairwise Ranking with Convolutional Neural Networks. IJCAI-2017.
Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification. EMNLP-2017.
Active Learning for Dependency Parsing with Partial Annotation. ACL-2016.
Generating Recommendation Evidence Using Translation Model. IJCAI-2016.
A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks. COLING-2016.
Improved Neural Machine Translation with SMT Features. AAAI-2016.
A Representation Learning Framework for Multi-Source Transfer Parsing. AAAI-2016.
Cross-lingual Dependency Parsing Based on Distributed Representations. ACL/IJCNLP-2015.
Multi-Task Learning for Multiple Language Translation. ACL/IJCNLP-2015.
Exploiting Collective Hidden Structures in Webpage Titles for Open Domain Entity Extraction. WWW-2015.
Learning Semantic Hierarchies via Word Embeddings. ACL-2014.
Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources. COLING-2014.
Improving Pivot-Based Statistical Machine Translation by Pivoting the Co-occurrence Count of Phrase Pairs. EMNLP-2014.
Transformation from Discontinuous to Continuous Word Alignment Improves Translation Quality. EMNLP-2014.
Improving Pivot-Based Statistical Machine Translation Using Random Walk. EMNLP-2013.
Introduction to Special Section on Paraphrasing. ACM TIST. 2013.
Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information. ACL-2012.
Improve SMT Quality with Automatically Extracted Paraphrase Rules. ACL-2012.
User Behaviors Lend a Helping Hand: Learning Paraphrase Query Patterns from Search Log Sessions. COLING-2012.
Two-word Collocation Extraction Using Monolingual Word Alignment Method. ACM TIST. 2011.
Automatically Generating Questions from Queries for Community-based Question Answering. IJCNLP-2011.
Enriching SMT Training Data via Paraphrasing. IJCNLP-2011.
Reordering with Source Language Collocations. ACL-2011.
Improving Statistical Machine Translation with Monolingual Collocation. ACL-2010.
Paraphrasing with Search Engine Query Logs. COLING-2010.
Collocation Extraction Using Monolingual Word Alignment Method. EMNLP-2009.
Revisiting Pivot Language Approach for Machine Translation. ACL/IJCNLP-2009.
Dependency Based Chinese Sentence Realization. ACL/IJCNLP-2009.
The TCH Machine Translation System for IWSLT 2008. IWSLT-2008.
Domain Adaptation for Statistical Machine Translation with Domain Dictionary and Monolingual Corpora. COLING-2008.
Dependency-Based N-Gram Models for General Purpose Sentence Realisation. COLING-2008.
Pivot Approach for Extracting Paraphrase Patterns from Bilingual Corpora. ACL-2008.
Pivot Language Approach for Phrase-Based Statistical Machine Translation. Machine Translation. 2007.
Comparative Study of Word Alignment Heuristics and Phrase-Based SMT. MT SUMMIT XI.
Log-linear Generation Models for Example-based Machine Translation. MT SUMMIT XI.
Recovering Non-Local Dependencies for Chinese. EMNLP/CoNLL 2007.
Pivot Language Approach for Phrase-Based Statistical Machine Translation. ACL-2007.
Example-Based Machine Translation Based on Tree-string Correspondence and Statistical Generation. Machine Translation. 2006.
Boosting Statistical Word Alignment Using Labeled and Unlabeled Data. Coling/ACL-2006.
Word Alignment for Languages with Scarce Resources Using Bilingual Corpora of Other Language Pairs. Coling/ACL-2006.
Alignment Model Adaptation for Domain-Specific Word Alignment. ACL-2005.
Improving Statistical Word Alignment with a Rule-Based Machine Translation System. COLING-2004.
Towards a Next Generation Search Engine. PRICAI-2000.
A Unified Approach to Statistical Language Modeling for Chinese. ICASSP-2000.

Haifeng Wang （王海峰）