Peng Wang

Orcid: 0009-0008-1135-3254

Affiliations:
  • Alibaba Group, Hangzhou, China
  • Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China


According to our database1, Peng Wang authored at least 50 papers between 2007 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Qwen-Image Technical Report.
CoRR, August, 2025

LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing.
CoRR, May, 2025

Qwen3 Technical Report.
CoRR, May, 2025

Qwen2.5-VL Technical Report.
CoRR, February, 2025

SceneVTG++: Controllable Multilingual Visual Text Generation in the Wild.
CoRR, January, 2025

fProcessor: NonIntrusive and On-the-Fly File Data Preprocessing Using eBPF.
IEEE Access, 2025

2024
CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy.
CoRR, 2024

Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
CoRR, 2024

Qwen2 Technical Report.
CoRR, 2024

Enhancing Prompt Following with Visual Control Through Training-Free Mask-Guided Diffusion.
CoRR, 2024

VL-Reader: Vision and Language Reconstructor is an Effective Scene Text Recognizer.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Visual Text Generation in the Wild.
Proceedings of the Computer Vision - ECCV 2024, 2024

Platypus: A Generalized Specialist Model for Reading Text in Various Forms.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Qwen Technical Report.
CoRR, 2023

TouchStone: Evaluating Vision-Language Models by Language Models.
CoRR, 2023

Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities.
CoRR, 2023

Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval.
CoRR, 2023

ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities.
CoRR, 2023

CoT-MoTE: Exploring ConTextual Masked Auto-Encoder Pre-training with Mixture-of-Textual-Experts for Passage Retrieval.
CoRR, 2023

CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for Passage Retrieval.
CoRR, 2023

Prompt Tuning for Unified Multimodal Pretrained Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Transferring General Multimodal Pretrained Models to Text Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models.
CoRR, 2022

Prompt Tuning for Generative Multimodal Pretrained Models.
CoRR, 2022

Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework.
CoRR, 2022

OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework.
Proceedings of the International Conference on Machine Learning, 2022

2021
M6: A Chinese Multimodal Pretrainer.
CoRR, 2021

M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2019
Nanily: A QoS-Aware Scheduling for DNN Inference Workload in Clouds.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018
Sibyl: Host Load Prediction with an Efficient Deep Learning Model in Cloud Computing.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

2017
Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data.
Data Min. Knowl. Discov., 2017

2015
E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams.
IEEE Trans. Knowl. Data Eng., 2015

Topic-aware Social Influence Minimization.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Fast Search for Distance Dependent Chinese Restaurant Processes.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Towards Hybrid Programming in Big Data.
Proceedings of the 7th USENIX Workshop on Hot Topics in Cloud Computing, 2015

Modeling Infinite Topics on Social Behavior Data with Spatio-temporal Dependence.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Forward Classification on Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Nonparametric Topic-Aware Sparsification of Influence Networks.
Proceedings of the Trustworthy Computing and Services - International Conference, 2014

Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Petascale molecular dynamics simulation of crystalline silicon on Tianhe-1A.
Int. J. High Perform. Comput. Appl., 2013

2012
Mining Multi-Label Data Streams Using Ensemble-Based Active Learning.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

2011
Enabling fast prediction for ensemble models on data streams.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Adaptive Shared-Filter Ordering for Efficient Multimedia Stream Monitoring.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Towards quantitative analysis of data intensive computing: a case study of Hadoop.
Proceedings of the 8th International Conference on Autonomic Computing, 2011

2010
Transformer: A New Paradigm for Building Data-Parallel Programming Models.
IEEE Micro, 2010

Split-step forward methods for stochastic differential equations.
J. Comput. Appl. Math., 2010

2009
Phoenix Cloud : Consolidating Heterogeneous Workloads of Large Organizations on Cloud Computing Platforms
CoRR, 2009

2007
The design methodology of Phoenix cluster system software stack.
Proceedings of the CHINA HPC 2007, 2007


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