Using Lexical and Thematic Knowledge for Name Disambiguation. - Jinpeng Wang 001; Wayne Xin Zhao; Rui Yan 001; Haitian Wei; Jian-Yun Nie; Xiaoming Li 001 (AIRS, 2012)

Originator or propagator?: incorporating social role theory into topic models for twitter content analysis. - Wayne Xin Zhao; Jinpeng Wang 001; Yulan He 001; Jian-Yun Nie; Xiaoming Li 001 (CIKM, 2013)

Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs. - Jinpeng Wang 001; Wayne Xin Zhao; Haitian Wei; Hongfei Yan; Xiaoming Li 001 (EMNLP, 2013)

Infer User Interests via Link Structure Regularization. - Jinpeng Wang 001; Wayne Xin Zhao; Yulan He 001; Xiaoming Li 001 (ACM Trans. Intell. Syst. Technol., 2014)

Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets. - Jinpeng Wang 001; Gao Cong; Wayne Xin Zhao; Xiaoming Li 001 (AAAI, 2015)

User Based Aggregation for Biterm Topic Model. - Weizheng Chen; Jinpeng Wang 001; Yan Zhang 004; Hongfei Yan; Xiaoming Li 001 (ACL (2), 2015)

Leveraging Product Adopter Information from Online Reviews for Product Recommendation. - Jinpeng Wang 001; Wayne Xin Zhao; Yulan He 001; Xiaoming Li 001 (ICWSM, 2015)

Incorporating Social Role Theory into Topic Models for Social Media Content Analysis. - Wayne Xin Zhao; Jinpeng Wang 001; Yulan He 001; Jian-Yun Nie; Ji-Rong Wen; Xiaoming Li 001 (IEEE Trans. Knowl. Data Eng., 2015)

Non-Linear Smoothed Transductive Network Embedding with Text Information. - Weizheng Chen; Xia Zhang; Jinpeng Wang 001; Yan Zhang 004; Hongfei Yan; Xiaoming Li 001 (ACML, 2016)

Mining Product Adopter Information from Online Reviews for Improving Product Recommendation. - Wayne Xin Zhao; Jinpeng Wang 001; Yulan He 001; Ji-Rong Wen; Edward Y. Chang; Xiaoming Li 001 (ACM Trans. Knowl. Discov. Data, 2016)

A Statistical Framework for Product Description Generation. - Jinpeng Wang 001; Yutai Hou; Jing Liu 022; Yunbo Cao; Chin-Yew Lin (IJCNLP(2), 2017)

Hierarchical Mixed Neural Network for Joint Representation Learning of Social-Attribute Network. - Weizheng Chen; Jinpeng Wang 001; Zhuoxuan Jiang; Yan Zhang 004; Xiaoming Li 001 (PAKDD (1), 2017)

Mention and Entity Description Co-Attention for Entity Disambiguation. - Feng Nie; Yunbo Cao; Jinpeng Wang 001; Chin-Yew Lin; Rong Pan (AAAI, 2018)

Aggregated Semantic Matching for Short Text Entity Linking. - Feng Nie; Shuyan Zhou; Jing Liu 022; Jinpeng Wang 001; Chin-Yew Lin; Rong Pan (CoNLL, 2018)

Data2Text Studio: Automated Text Generation from Structured Data. - Longxu Dou; Guanghui Qin; Jinpeng Wang 001; Jin-Ge Yao; Chin-Yew Lin (EMNLP (Demonstration), 2018)

Operation-guided Neural Networks for High Fidelity Data-To-Text Generation. - Feng Nie; Jinpeng Wang 001; Jin-Ge Yao; Rong Pan; Chin-Yew Lin (EMNLP, 2018)

Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data. - Guanghui Qin; Jin-Ge Yao; Xuening Wang; Jinpeng Wang 001; Chin-Yew Lin (EMNLP, 2018)

Operations Guided Neural Networks for High Fidelity Data-To-Text Generation. - Feng Nie; Jinpeng Wang 001; Jin-Ge Yao; Rong Pan; Chin-Yew Lin (CoRR, 2018)

A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation. - Feng Nie; Jin-Ge Yao; Jinpeng Wang 001; Rong Pan; Chin-Yew Lin (ACL (1), 2019)

Enhancing Neural Data-To-Text Generation Models with External Background Knowledge. - Shuang Chen 003; Jinpeng Wang 001; Xiaocheng Feng; Feng Jiang 001; Bing Qin 001; Chin-Yew Lin (EMNLP/IJCNLP (1), 2019)

An Encoder with non-Sequential Dependency for Neural Data-to-Text Generation. - Feng Nie; Jinpeng Wang 001; Rong Pan; Chin-Yew Lin (INLG, 2019)

Beyond Word for Word: Fact Guided Training for Neural Data-to-Document Generation. - Feng Nie; Hailin Chen; Jinpeng Wang 001; Rong Pan; Chin-Yew Lin (NLPCC (1), 2019)

Improving Entity Linking by Modeling Latent Entity Type Information. - Shuang Chen 003; Jinpeng Wang 001; Feng Jiang 001; Chin-Yew Lin (AAAI, 2020)

Learning Semantic Correspondences from Noisy Data-text Pairs by Local-to-Global Alignments. - Feng Nie; Jinpeng Wang 001; Chin-Yew Lin (COLING, 2020)

Visual Style Extraction from Chart Images for Chart Restyling. - Danqing Huang; Jinpeng Wang 001; Guoxin Wang; Chin-Yew Lin (ICPR, 2020)

Hybrid Cascade Point Search Network for High Precision Bar Chart Component Detection. - Junyu Luo 001; Jinpeng Wang 001; Chin-Yew Lin (ICPR, 2020)

ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation. - Qiang Cui; Chenrui Zhang; Yafeng Zhang; Jinpeng Wang 001; Mingchen Cai (CIKM, 2021)

CanvasEmb: Learning Layout Representation with Large-scale Pre-training for Graphic Design. - Yuxi Xie; Danqing Huang; Jinpeng Wang 001; Chin-Yew Lin (ACM Multimedia, 2021)

ChartOCR: Data Extraction from Charts Images via a Deep Hybrid Framework. - Junyu Luo 001; Zekun Li; Jinpeng Wang 001; Chin-Yew Lin (WACV, 2021)

A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation. - Shuqing Bian; Wayne Xin Zhao; Jinpeng Wang 001; Ji-Rong Wen (CIKM, 2022)

Multimodal Meta-Learning for Cold-Start Sequential Recommendation. - Xingyu Pan; Yushuo Chen; Changxin Tian; Zihan Lin; Jinpeng Wang 001; He Hu 001; Wayne Xin Zhao (CIKM, 2022)

Temporal Contrastive Pre-Training for Sequential Recommendation. - Changxin Tian; Zihan Lin; Shuqing Bian; Jinpeng Wang 001; Wayne Xin Zhao (CIKM, 2022)

MILES: Visual BERT Pre-training with Injected Language Semantics for Video-Text Retrieval. - Yuying Ge; Yixiao Ge; Xihui Liu; Jinpeng Wang 001; Jianping Wu; Ying Shan; Xiaohu Qie; Ping Luo 002 (ECCV (35), 2022)

Egocentric Video-Language Pretraining. - Kevin Qinghong Lin; Jinpeng Wang 001; Mattia Soldan; Michael Wray; Rui Yan 001; Eric Zhongcong Xu; Difei Gao; Rong-Cheng Tu; Wenzhe Zhao; Weijie Kong; Chengfei Cai; Hongfa Wang; et al. (NeurIPS, 2022)

A Mixed-Initiative Approach to Reusing Infographic Charts. - Weiwei Cui 001; Jinpeng Wang 001; He Huang; Yun Wang 012; Chin-Yew Lin; Haidong Zhang; Dongmei Zhang 001 (IEEE Trans. Vis. Comput. Graph., 2022)

Video-Text Pre-training with Learned Regions for Retrieval. - Rui Yan 010; Mike Zheng Shou; Yixiao Ge; Jinpeng Wang 001; Xudong Lin 003; Guanyu Cai; Jinhui Tang 001 (AAAI, 2023)

Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation. - Shuqing Bian; Xingyu Pan; Wayne Xin Zhao; Jinpeng Wang 001; Chuyuan Wang; Ji-Rong Wen (CIKM, 2023)

All in One: Exploring Unified Video-Language Pre-Training. - Jinpeng Wang 001; Yixiao Ge; Rui Yan 001; Yuying Ge; Kevin Qinghong Lin; Satoshi Tsutsui; Xudong Lin 003; Guanyu Cai; Jianping Wu; Ying Shan; Xiaohu Qie; Mike Zheng Shou (CVPR, 2023)

Position-Guided Text Prompt for Vision-Language Pre-Training. - Jinpeng Wang 001; Pan Zhou 002; Mike Zheng Shou; Shuicheng Yan (CVPR, 2023)

Evaluating Object Hallucination in Large Vision-Language Models. - Yifan Li 009; Yifan Du 002; Kun Zhou 002; Jinpeng Wang 001; Wayne Xin Zhao; Ji-Rong Wen (EMNLP, 2023)

MUP: Multi-granularity Unified Perception for Panoramic Activity Recognition. - Meiqi Cao; Rui Yan 010; Xiangbo Shu; Jiachao Zhang; Jinpeng Wang 001; Guo-Sen Xie (ACM Multimedia, 2023)

PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine. - Chenrui Zhang; Lin Liu; Chuyuan Wang; Xiao Sun; Hongyu Wang; Jinpeng Wang 001; Mingchen Cai (AAAI, 2024)

EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation. - Lei Huang; Weitao Li; Chenrui Zhang; Jinpeng Wang 001; Xianchun Yi; Sheng Chen (CIKM, 2024)

Sequence-level Semantic Representation Fusion for Recommender Systems. - Lanling Xu; Zhen Tian 001; Bingqian Li; Junjie Zhang 009; Daoyuan Wang; Hongyu Wang; Jinpeng Wang 001; Sheng Chen; Wayne Xin Zhao (CIKM, 2024)

Promoting Two-sided Fairness with Adaptive Weights for Providers and Customers in Recommendation. - Lanling Xu; Zihan Lin; Jinpeng Wang 001; Sheng Chen; Wayne Xin Zhao; Ji-Rong Wen (RecSys, 2024)

Prompting Large Language Models for Recommender Systems: A Comprehensive Framework and Empirical Analysis. - Lanling Xu; Junjie Zhang 009; Bingqian Li; Jinpeng Wang 001; Mingchen Cai; Wayne Xin Zhao; Ji-Rong Wen (CoRR, 2024)

Sequence-level Semantic Representation Fusion for Recommender Systems. - Lanling Xu; Zhen Tian 001; Bingqian Li; Junjie Zhang 009; Jinpeng Wang 001; Mingchen Cai; Wayne Xin Zhao (CoRR, 2024)

What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning. - Yifan Du 002; Hangyu Guo; Kun Zhou 002; Wayne Xin Zhao; Jinpeng Wang 001; Chuyuan Wang; Mingchen Cai; Ruihua Song; Ji-Rong Wen (COLING, 2025)

Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User. - Xiaolei Wang 005; Chunxuan Xia; Junyi Li; Fanzhe Meng; Lei Huang; Jinpeng Wang 001; Wayne Xin Zhao; Ji-Rong Wen (SIGIR, 2025)

Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis. - Lanling Xu; Junjie Zhang 009; Bingqian Li; Jinpeng Wang 001; Sheng Chen; Wayne Xin Zhao; Ji-Rong Wen (ACM Trans. Knowl. Discov. Data, 2025)

LARES: Latent Reasoning for Sequential Recommendation. - Enze Liu 005; Bowen Zheng 005; Xiaolei Wang 005; Wayne Xin Zhao; Jinpeng Wang 001; Sheng Chen; Ji-Rong Wen (CoRR, 2025)