Yu Chen

50 papers A* 10A 1C 1Misc 1Journal 24Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond the Needle's Illusion: Decoupled Evaluation of Evidence Access and Use under Semantic Interference at 326M-Token Scale.
CoRR
Tianwei Lin, Zuyi Zhou, Xinda Zhao, Chenke Wang, Xiaohong Li, Yu Chen, Chuanrui Hu, Jian Pei, Yafeng Deng
2026 J jnl
FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering.
CoRR
Yixi Zhou, Fan Zhang, Yu Chen, Haipeng Zhang, Preslav Nakov, Zhuohan Xie
2026 J jnl
From "Thinking" to "Justifying": Aligning High-Stakes Explainability with Professional Communication Standards.
CoRR
Chen Qian, Yimeng Wang, Yu Chen, Lingfei Wu, Andreas Stathopoulos
2024 — conf
Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes.
EACL (1)
Barry Menglong Yao, Sijia Wang, Yu Chen, Qifan Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang
2024 A* conf
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
ICLR
Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
2024 J jnl
GraphFlow+: Exploiting Conversation Flow in Conversational Machine Comprehension with Graph Neural Networks.
Mach. Intell. Res.
Jing Hu, Lingfei Wu, Yu Chen, Po Hu, Mohammed J. Zaki
2024 — conf
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models.
NAACL-HLT
Chi Han, Qifan Wang, Hao Peng, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang
2024 J jnl
On the Equivalence of Graph Convolution and Mixup.
Trans. Mach. Learn. Res.
Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu
2024 J jnl
Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Yu Chen, Lingfei Wu, Mohammed J. Zaki
2023 J jnl
AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes.
CoRR
Barry Menglong Yao, Yu Chen, Qifan Wang, Sijia Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang
2023 A* conf
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality.
EMNLP
Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen
2023 J jnl
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality.
CoRR
Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen
2023 J jnl
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
CoRR
Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
2023 J jnl
Graph Neural Networks for Natural Language Processing: A Survey.
Found. Trends Mach. Learn.
Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long
2023 J jnl
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models.
CoRR
Chi Han, Qifan Wang, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang
2023 — conf
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.
ACL (Findings)
Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu
2023 A* conf
Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract).
ICDE
Bin Wu, Xiangnan He, Yu Chen, Liqiang Nie, Kai Zheng, Yangdong Ye
2023 J jnl
On the Equivalence of Graph Convolution and Mixup.
CoRR
Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu
2022 — conf
Accepted Tutorials at The Web Conference 2022.
WWW (Companion Volume)
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022 A* conf
Compact Graph Structure Learning via Mutual Information Compression.
WWW
Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi
2022 J jnl
Compact Graph Structure Learning via Mutual Information Compression.
CoRR
Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi
2021 A* conf
Deep Learning on Graphs for Natural Language Processing.
KDD
Lingfei Wu, Yu Chen, Heng Ji, Bang Liu
2021 A* conf
Deep Learning on Graphs for Natural Language Processing.
SIGIR
Lingfei Wu, Yu Chen, Heng Ji, Bang Liu
2021 J jnl
Graph Neural Networks for Natural Language Processing: A Survey.
CoRR
Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long
2021 A conf
Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph.
WSDM
Yu Chen, Ananya Subburathinam, Ching-Hua Chen, Mohammed J. Zaki
2021 J jnl
Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph.
CoRR
Yu Chen, Ananya Subburathinam, Ching-Hua Chen, Mohammed J. Zaki
2020 — conf
Applying Learning and Semantics for Personalized Food Recommendations.
ISWC (Demos/Industry)
Nidhi Rastogi, Oshani Seneviratne, Dan Gruen, Ching-Hua Chen, Yu Chen, Jon Harris, Diya Li, Ananya Subburathinam, Ruisi Jian, Megan Goulet, Yuheng Zhou, Osama Minhas, Jared Okun, Aaron Hill
2020 Misc conf
Combining User Preferences and Health Needs in Personalized Food Recommendation.
AMIA
Yu Chen, Ching-Hua Chen, Mohammed J. Zaki
2020 A* conf
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension.
IJCAI
Yu Chen, Lingfei Wu, Mohammed J. Zaki
2020 A* conf
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings.
NeurIPS
Yu Chen, Lingfei Wu, Mohammed J. Zaki
2020 J jnl
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings.
CoRR
Yu Chen, Lingfei Wu, Mohammed J. Zaki
2020 — —
Question answering and generation from structured and unstructured data.
Yu Chen
2020 A* conf
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation.
ICLR
Yu Chen, Lingfei Wu, Mohammed J. Zaki
2020 J jnl
Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks.
CoRR
Yu Chen, Lingfei Wu, Mohammed J. Zaki
2019 — conf
Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases.
NAACL-HLT (1)
Yu Chen, Lingfei Wu, Mohammed J. Zaki
2019 J jnl
Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases.
CoRR
Yu Chen, Lingfei Wu, Mohammed J. Zaki
2019 J jnl
Deep Iterative and Adaptive Learning for Graph Neural Networks.
CoRR
Yu Chen, Lingfei Wu, Mohammed J. Zaki
2019 — conf
FoodKG Enabled Q&A Application.
ISWC (Satellites)
Steven Haussmann, Yu Chen, Oshani Seneviratne, Nidhi Rastogi, James V. Codella, Ching-Hua Chen, Deborah L. McGuinness, Mohammed J. Zaki
2019 — conf
FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation.
ISWC (2)
Steven Haussmann, Oshani Seneviratne, Yu Chen, Yarden Ne'eman, James V. Codella, Ching-Hua Chen, Deborah L. McGuinness, Mohammed J. Zaki
2019 J jnl
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension.
CoRR
Yu Chen, Lingfei Wu, Mohammed J. Zaki
2019 J jnl
Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model.
CoRR
Yu Chen, Lingfei Wu, Mohammed J. Zaki
2019 J jnl
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation.
CoRR
Yu Chen, Lingfei Wu, Mohammed J. Zaki
2017 — conf
Comparative text analytics via topic modeling in banking.
SSCI
Yu Chen, Rhaad M. Rabbani, Aparna Gupta, Mohammed J. Zaki
2017 A* conf
KATE: K-Competitive Autoencoder for Text.
KDD
Yu Chen, Mohammed J. Zaki
2017 J jnl
KATE: K-Competitive Autoencoder for Text.
CoRR
Yu Chen, Mohammed J. Zaki
2013 — conf
Exploring Deep Belief Nets to Detect and Categorize Chinese Entities.
ADMA (1)
Yu Chen, Dequan Zheng, Tiejun Zhao
2012 C conf
Combining Social Cognitive Theories with Linguistic Features for Multi-genre Sentiment Analysis.
PACLIC
Hao Li, Yu Chen, Heng Ji, Smaranda Muresan, Dequan Zheng
2010 — conf
Exploring Deep Belief Network for Chinese Relation Extraction.
CIPS-SIGHAN
Yu Chen, Wenjie Li, Yan Liu, Dequan Zheng, Tiejun Zhao
2010 J jnl
Research on Automatic Pattern Acquisition Based on Construction Extension.
J. Convergence Inf. Technol.
Yu Chen, Dequan Zheng, Bowen Zheng, Tiejun Zhao
2010 — conf
Using Deep Belief Nets for Chinese Named Entity Categorization.
NEWS@ACL
Yu Chen, You Ouyang, Wenjie Li, Dequan Zheng, Tiejun Zhao