Jinpeng Wang

According to our database, Jinpeng Wang authored at least 48 papers between 2012 and 2024.

Collaborative distances:

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

2024

Sequence-level Semantic Representation Fusion for Recommender Systems.

Lanling Xu, Zhen Tian, Bingqian Li, Junjie Zhang, Jinpeng Wang, Mingchen Cai, Wayne Xin Zhao

CoRR, 2024

Prompting Large Language Models for Recommender Systems: A Comprehensive Framework and Empirical Analysis.

Lanling Xu, Junjie Zhang, Bingqian Li, Jinpeng Wang, Mingchen Cai, Wayne Xin Zhao, Ji-Rong Wen

CoRR, 2024

Promoting Two-sided Fairness with Adaptive Weights for Providers and Customers in Recommendation.

Lanling Xu, Zihan Lin, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao, Ji-Rong Wen

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Sequence-level Semantic Representation Fusion for Recommender Systems.

Lanling Xu, Zhen Tian, Bingqian Li, Junjie Zhang, Daoyuan Wang, Hongyu Wang, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation.

Lei Huang, Weitao Li, Chenrui Zhang, Jinpeng Wang, Xianchun Yi, Sheng Chen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine.

Chenrui Zhang, Lin Liu, Chuyuan Wang, Xiao Sun, Hongyu Wang, Jinpeng Wang, Mingchen Cai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning.

Yifan Du, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Mingchen Cai, Ruihua Song, Ji-Rong Wen

CoRR, 2023

MUP: Multi-granularity Unified Perception for Panoramic Activity Recognition.

Meiqi Cao, Rui Yan, Xiangbo Shu, Jiachao Zhang, Jinpeng Wang, Guo-Sen Xie

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Evaluating Object Hallucination in Large Vision-Language Models.

Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Position-Guided Text Prompt for Vision-Language Pre-Training.

Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

All in One: Exploring Unified Video-Language Pre-Training.

Jinpeng Wang, Yixiao Ge, Rui Yan, Yuying Ge, Kevin Qinghong Lin, Satoshi Tsutsui, Xudong Lin, Guanyu Cai, Jianping Wu, Ying Shan, Xiaohu Qie, Mike Zheng Shou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation.

Shuqing Bian, Xingyu Pan, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Ji-Rong Wen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Video-Text Pre-training with Learned Regions for Retrieval.

Rui Yan, Mike Zheng Shou, Yixiao Ge, Jinpeng Wang, Xudong Lin, Guanyu Cai, Jinhui Tang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Mixed-Initiative Approach to Reusing Infographic Charts.

Weiwei Cui, Jinpeng Wang, He Huang, Yun Wang, Chin-Yew Lin, Haidong Zhang, Dongmei Zhang

IEEE Trans. Vis. Comput. Graph., 2022

Egocentric Video-Language Pretraining.

Kevin Qinghong Lin, Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Zhongcong Xu, Difei Gao, Rong-Cheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Dima Damen, Bernard Ghanem, Wei Liu, Mike Zheng Shou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MILES: Visual BERT Pre-training with Injected Language Semantics for Video-Text Retrieval.

Yuying Ge, Yixiao Ge, Xihui Liu, Jinpeng Wang, Jianping Wu, Ying Shan, Xiaohu Qie, Ping Luo

Proceedings of the Computer Vision - ECCV 2022, 2022

Temporal Contrastive Pre-Training for Sequential Recommendation.

Changxin Tian, Zihan Lin, Shuqing Bian, Jinpeng Wang, Wayne Xin Zhao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multimodal Meta-Learning for Cold-Start Sequential Recommendation.

Xingyu Pan, Yushuo Chen, Changxin Tian, Zihan Lin, Jinpeng Wang, He Hu, Wayne Xin Zhao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation.

Shuqing Bian, Wayne Xin Zhao, Jinpeng Wang, Ji-Rong Wen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

ChartOCR: Data Extraction from Charts Images via a Deep Hybrid Framework.

Junyu Luo, Zekun Li, Jinpeng Wang, Chin-Yew Lin

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

CanvasEmb: Learning Layout Representation with Large-scale Pre-training for Graphic Design.

Yuxi Xie, Danqing Huang, Jinpeng Wang, Chin-Yew Lin

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation.

Qiang Cui, Chenrui Zhang, Yafeng Zhang, Jinpeng Wang, Mingchen Cai

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Hybrid Cascade Point Search Network for High Precision Bar Chart Component Detection.

Junyu Luo, Jinpeng Wang, Chin-Yew Lin

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Visual Style Extraction from Chart Images for Chart Restyling.

Danqing Huang, Jinpeng Wang, Guoxin Wang, Chin-Yew Lin

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Learning Semantic Correspondences from Noisy Data-text Pairs by Local-to-Global Alignments.

Feng Nie, Jinpeng Wang, Chin-Yew Lin

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Improving Entity Linking by Modeling Latent Entity Type Information.

Shuang Chen, Jinpeng Wang, Feng Jiang, Chin-Yew Lin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Beyond Word for Word: Fact Guided Training for Neural Data-to-Document Generation.

Feng Nie, Hailin Chen, Jinpeng Wang, Rong Pan, Chin-Yew Lin

Proceedings of the Natural Language Processing and Chinese Computing, 2019

An Encoder with non-Sequential Dependency for Neural Data-to-Text Generation.

Feng Nie, Jinpeng Wang, Rong Pan, Chin-Yew Lin

Proceedings of the 12th International Conference on Natural Language Generation, 2019

Enhancing Neural Data-To-Text Generation Models with External Background Knowledge.

Shuang Chen, Jinpeng Wang, Xiaocheng Feng, Feng Jiang, Bing Qin, Chin-Yew Lin

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation.

Feng Nie, Jin-Ge Yao, Jinpeng Wang, Rong Pan, Chin-Yew Lin

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Operations Guided Neural Networks for High Fidelity Data-To-Text Generation.

Feng Nie, Jinpeng Wang, Jin-Ge Yao, Rong Pan, Chin-Yew Lin

CoRR, 2018

Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data.

Guanghui Qin, Jin-Ge Yao, Xuening Wang, Jinpeng Wang, Chin-Yew Lin

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

Operation-guided Neural Networks for High Fidelity Data-To-Text Generation.

Feng Nie, Jinpeng Wang, Jin-Ge Yao, Rong Pan, Chin-Yew Lin

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

Data2Text Studio: Automated Text Generation from Structured Data.

Longxu Dou, Guanghui Qin, Jinpeng Wang, Jin-Ge Yao, Chin-Yew Lin

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

Aggregated Semantic Matching for Short Text Entity Linking.

Feng Nie, Shuyan Zhou, Jing Liu, Jinpeng Wang, Chin-Yew Lin, Rong Pan

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Mention and Entity Description Co-Attention for Entity Disambiguation.

Feng Nie, Yunbo Cao, Jinpeng Wang, Chin-Yew Lin, Rong Pan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Hierarchical Mixed Neural Network for Joint Representation Learning of Social-Attribute Network.

Weizheng Chen, Jinpeng Wang, Zhuoxuan Jiang, Yan Zhang, Xiaoming Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

A Statistical Framework for Product Description Generation.

Jinpeng Wang, Yutai Hou, Jing Liu, Yunbo Cao, Chin-Yew Lin

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2016

Mining Product Adopter Information from Online Reviews for Improving Product Recommendation.

Wayne Xin Zhao, Jinpeng Wang, Yulan He, Ji-Rong Wen, Edward Y. Chang, Xiaoming Li

ACM Trans. Knowl. Discov. Data, 2016

Non-Linear Smoothed Transductive Network Embedding with Text Information.

Weizheng Chen, Xia Zhang, Jinpeng Wang, Yan Zhang, Hongfei Yan, Xiaoming Li

Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015

Incorporating Social Role Theory into Topic Models for Social Media Content Analysis.

Wayne Xin Zhao, Jinpeng Wang, Yulan He, Jian-Yun Nie, Ji-Rong Wen, Xiaoming Li

IEEE Trans. Knowl. Data Eng., 2015

Leveraging Product Adopter Information from Online Reviews for Product Recommendation.

Jinpeng Wang, Wayne Xin Zhao, Yulan He, Xiaoming Li

Proceedings of the Ninth International Conference on Web and Social Media, 2015

User Based Aggregation for Biterm Topic Model.

Weizheng Chen, Jinpeng Wang, Yan Zhang, Hongfei Yan, Xiaoming Li

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets.

Jinpeng Wang, Gao Cong, Wayne Xin Zhao, Xiaoming Li

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Infer User Interests via Link Structure Regularization.

Jinpeng Wang, Wayne Xin Zhao, Yulan He, Xiaoming Li

ACM Trans. Intell. Syst. Technol., 2014

2013

Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs.

Jinpeng Wang, Wayne Xin Zhao, Haitian Wei, Hongfei Yan, Xiaoming Li

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Originator or propagator?: incorporating social role theory into topic models for twitter content analysis.

Wayne Xin Zhao, Jinpeng Wang, Yulan He, Jian-Yun Nie, Xiaoming Li

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Using Lexical and Thematic Knowledge for Name Disambiguation.

Jinpeng Wang, Wayne Xin Zhao, Rui Yan, Haitian Wei, Jian-Yun Nie, Xiaoming Li

Proceedings of the Information Retrieval Technology, 2012