Exploring Deep Belief Network for Chinese Relation Extraction. - Yu Chen 022; Wenjie Li 002; Yan Liu 004; Dequan Zheng; Tiejun Zhao (CIPS-SIGHAN, 2010)

Using Deep Belief Nets for Chinese Named Entity Categorization. - Yu Chen 022; You Ouyang; Wenjie Li 002; Dequan Zheng; Tiejun Zhao (NEWS@ACL, 2010)

Research on Automatic Pattern Acquisition Based on Construction Extension. - Yu Chen 022; Dequan Zheng; Bowen Zheng; Tiejun Zhao (J. Convergence Inf. Technol., 2010)

Combining Social Cognitive Theories with Linguistic Features for Multi-genre Sentiment Analysis. - Hao Li 031; Yu Chen 022; Heng Ji 001; Smaranda Muresan; Dequan Zheng (PACLIC, 2012)

Exploring Deep Belief Nets to Detect and Categorize Chinese Entities. - Yu Chen 022; Dequan Zheng; Tiejun Zhao (ADMA (1), 2013)

KATE: K-Competitive Autoencoder for Text. - Yu Chen 022; Mohammed J. Zaki (KDD, 2017)

Comparative text analytics via topic modeling in banking. - Yu Chen 022; Rhaad M. Rabbani; Aparna Gupta; Mohammed J. Zaki (SSCI, 2017)

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases. - Yu Chen 022; Lingfei Wu 001; Mohammed J. Zaki (NAACL-HLT (1), 2019)

FoodKG Enabled Q&A Application. - Steven Haussmann; Yu Chen 022; Oshani Seneviratne; Nidhi Rastogi; James V. Codella; Ching-Hua Chen; Deborah L. McGuinness; Mohammed J. Zaki (ISWC (Satellites), 2019)

FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation. - Steven Haussmann; Oshani Seneviratne; Yu Chen 022; Yarden Ne'eman; James V. Codella; Ching-Hua Chen; Deborah L. McGuinness; Mohammed J. Zaki (ISWC (2), 2019)

Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model. - Yu Chen 022; Lingfei Wu 001; Mohammed J. Zaki (CoRR, 2019)

Deep Iterative and Adaptive Learning for Graph Neural Networks. - Yu Chen 022; Lingfei Wu 001; Mohammed J. Zaki (CoRR, 2019)

Combining User Preferences and Health Needs in Personalized Food Recommendation. - Yu Chen 022; Ching-Hua Chen; Mohammed J. Zaki (AMIA, 2020)

Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation. - Yu Chen 022; Lingfei Wu 001; Mohammed J. Zaki (ICLR, 2020)

GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension. - Yu Chen 022; Lingfei Wu 001; Mohammed J. Zaki (IJCAI, 2020)

Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings. - Yu Chen 022; Lingfei Wu 001; Mohammed J. Zaki (NeurIPS, 2020)

Applying Learning and Semantics for Personalized Food Recommendations. - Nidhi Rastogi; Oshani Seneviratne; Dan Gruen; Ching-Hua Chen; Yu Chen 022; Jon Harris; Diya Li; Ananya Subburathinam; Ruisi Jian; Megan Goulet; Yuheng Zhou; Osama Minhas; et al. (ISWC (Demos/Industry), 2020)

Question answering and generation from structured and unstructured data. - Yu Chen 022 (2020)

Deep Learning on Graphs for Natural Language Processing. - Lingfei Wu 001; Yu Chen 022; Heng Ji 001; Bang Liu (KDD, 2021)

Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph. - Yu Chen 022; Ananya Subburathinam; Ching-Hua Chen; Mohammed J. Zaki (WSDM, 2021)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

Compact Graph Structure Learning via Mutual Information Compression. - Nian Liu; Xiao Wang 017; Lingfei Wu 001; Yu Chen 022; Xiaojie Guo 002; Chuan Shi 001 (WWW, 2022)

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. - Li Yang; Qifan Wang 001; Jingang Wang; Xiaojun Quan; Fuli Feng; Yu Chen 022; Madian Khabsa; Sinong Wang; Zenglin Xu; Dongfang Liu (ACL (Findings), 2023)

Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. - Harman Singh; Pengchuan Zhang; Qifan Wang 001; Mengjiao Wang; Wenhan Xiong; Jingfei Du; Yu Chen 022 (EMNLP, 2023)

Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract). - Bin Wu 019; Xiangnan He 001; Yu Chen 022; Liqiang Nie; Kai Zheng 001; Yangdong Ye (ICDE, 2023)

LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models. - Chi Han; Qifan Wang 001; Wenhan Xiong; Yu Chen 022; Heng Ji 001; Sinong Wang (CoRR, 2023)

Graph Neural Networks for Natural Language Processing: A Survey. - Lingfei Wu 001; Yu Chen 022; Kai Shen; Xiaojie Guo 002; Hanning Gao; Shucheng Li; Jian Pei 001; Bo Long (Found. Trends Mach. Learn., 2023)

Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes. - Barry Menglong Yao; Sijia Wang; Yu Chen 022; Qifan Wang 001; Minqian Liu; Zhiyang Xu; Licheng Yu; Lifu Huang (EACL (1), 2024)

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. - Xiaotian Han; Jianfeng Chi; Yu Chen 022; Qifan Wang 001; Han Zhao 002; Na Zou 001; Xia Hu 001 (ICLR, 2024)

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models. - Chi Han; Qifan Wang 001; Hao Peng 009; Wenhan Xiong; Yu Chen 022; Heng Ji 001; Sinong Wang (NAACL-HLT, 2024)

On the Equivalence of Graph Convolution and Mixup. - Xiaotian Han; Hanqing Zeng; Yu Chen 022; Shaoliang Nie; Jingzhou Liu; Kanika Narang; Zahra Shakeri; Karthik Abinav Sankararaman; Song Jiang 002; Madian Khabsa; Qifan Wang 001; Xia Hu 001 (Trans. Mach. Learn. Res., 2024)

GraphFlow+: Exploiting Conversation Flow in Conversational Machine Comprehension with Graph Neural Networks. - Jing Hu; Lingfei Wu 001; Yu Chen 022; Po Hu; Mohammed J. Zaki (Mach. Intell. Res., 2024)

Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks. - Yu Chen 022; Lingfei Wu 001; Mohammed J. Zaki (IEEE Trans. Neural Networks Learn. Syst., 2024)