| 2026 | AAAI | Any2Critical: Safety-Critical Scenario Generation from Arbitrary Real-World Driving Contexts. | Yao Huang, Yubo Chen, Ruochen Zhang, Yitong Sun, Shouwei Ruan, Zhenyu Wu, Yinpeng Dong, Xingxing Wei |
| 2026 | ACL | Towards Explainable Diagnosis: A Self-learned Explanatory Knowledge Base Approach. | Dongqi Huang, Tong Zhou, Zhuoran Jin, Shenghui Shi, Yujiao Mao, Kang Liu, Jun Zhao, Yubo Chen |
| 2026 | ACL | LANTERN in the Event Stream: Training-Free Temporal Knowledge Graph Forecasting by Balancing Inertia and Shifts. | Chengyuan Jin, Ao Chang, Daojian Zeng, Wenhao Teng, Xiangwen Liao, Kang Liu, Jun Zhao, Yubo Chen |
| 2026 | ACL | Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do. | Zhuoran Jin, Kejian Zhu, Hongbang Yuan, Yupu Hao, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2026 | ACL | Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning. | Tianyi Men, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2026 | DASFAA | Legal-AP: A Framework to Enhance LLM's Legal Reasoning via Knowledge Augmentation and Adapter-Wise Parametric Fusion. | Ao Chang, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | AAAI | CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance. | Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | AAAI | Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models. | Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | AAAI | Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models. | Hongbang Yuan, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ACL | Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models. | Yuheng Chen, Pengfei Cao, Yubo Chen, Yining Wang, Shengping Liu, Kang Liu, Jun Zhao |
| 2025 | ACL | Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity. | Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ACL | RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment. | Zhuoran Jin, Hongbang Yuan, Tianyi Men, Pengfei Cao, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao |
| 2025 | ACL | Towards Better Chain-of-Thought: A Reflection on Effectiveness and Faithfulness. | Jiachun Li, Pengfei Cao, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao |
| 2025 | ACL | A Troublemaker with Contagious Jailbreak Makes Chaos in Honest Towns. | Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ACL | Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents. | Tianyi Men, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ACL | CiteLab: Developing and Diagnosing LLM Citation Generation Workflows via the Human-LLM Interaction. | Jiajun Shen, Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ACL | Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation. | Jiajun Shen, Tong Zhou, Yubo Chen, Delai Qiu, Shengping Liu, Kang Liu, Jun Zhao |
| 2025 | ACL | Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing. | Jiakuan Xie, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | EMNLP | MotivGraph-SoIQ: Integrating Motivational Knowledge Graphs and Socratic Dialogue for Enhanced LLM Ideation. | Xinping Lei, Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | EMNLP | M2Edit: Locate and Edit Multi-Granularity Knowledge in Multimodal Large Language Model. | Yang Zhou, Pengfei Cao, Yubo Chen, Qingbin Liu, Dianbo Sui, Xi Chen, Kang Liu, Jun Zhao |
| 2025 | ICDE | Enhancing Large Language Models with Pseudo-and Multisource-Knowledge Graphs for Open-ended Question Answering. | Jiaxiang Liu, Tong Zhou, Yubo Chen, Jun Zhao, Kang Liu |
| 2025 | ICLR | Knowledge Localization: Mission Not Accomplished? Enter Query Localization! | Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ICLR | MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models. | Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | NAACL | Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models. | Hongbang Yuan, Yubo Chen, Pengfei Cao, Zhuoran Jin, Kang Liu |
| 2025 | NAACL | DTELS: Towards Dynamic Granularity of Timeline Summarization. | Chenlong Zhang, Tong Zhou, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | SecureComm | A Double-Layer Blockchain-Assisted Anonymous Cross-Domain Authentication and Transaction Scheme for Metaverse. | Yubo Chen, Zisang Xu, Xiangwei Meng, Zhenhao Huan |
| 2024 | AAAI | Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons. | Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2024 | ACL | CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph. | Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao |
| 2024 | ACL | WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing. | Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2024 | ACL | Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models. | Zhuoran Jin, Pengfei Cao, Hongbang Yuan, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao |
| 2024 | ACL | Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning. | Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao |
| 2024 | ACL | Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models. | Kun Luo, Zheng Liu, Shitao Xiao, Tong Zhou, Yubo Chen, Jun Zhao, Kang Liu |
| 2024 | ACL | MULFE: A Multi-Level Benchmark for Free Text Model Editing. | Chenhao Wang, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao |
| 2024 | COLING | NutFrame: Frame-based Conceptual Structure Induction with LLMs. | Shaoru Guo, Yubo Chen, Kang Liu, Ru Li, Jun Zhao |
| 2024 | COLING | Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning. | Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao |
| 2024 | COLING | Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models. | Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, Jun Zhao |
| 2024 | COLING | Leros: Learning Explicit Reasoning on Synthesized Data for Commonsense Question Answering. | Chenhao Wang, Pengfei Cao, Jiachun Li, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, Jun Zhao |
| 2024 | COLING | KnowVrDU: A Unified Knowledge-aware Prompt-Tuning Framework for Visually-rich Document Understanding. | Yunqi Zhang, Yubo Chen, Jingzhe Zhu, Jinyu Xu, Shuai Yang, Zhaoliang Wu, Liang Huang, Yongfeng Huang, Shuai Chen |
| 2024 | COLING | Continual Few-shot Event Detection via Hierarchical Augmentation Networks. | Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao |
| 2024 | ECCV | DIFFender: Diffusion-Based Adversarial Defense Against Patch Attacks. | Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Yubo Chen, Hang Su, Xingxing Wei |
| 2024 | EMNLP | AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. | Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang |
| 2024 | EMNLP | AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation. | Zhitao He, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Kang Liu, Jun Zhao |
| 2024 | EMNLP | LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning. | Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Jun Zhao |
| 2024 | EMNLP | Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models. | Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao |
| 2024 | EMNLP | Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models. | Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao |
| 2024 | IJCAI | Oasis: Data Curation and Assessment System for Pretraining of Large Language Models. | Tong Zhou, Yubo Chen, Pengfei Cao, Kang Liu, Shengping Liu, Jun Zhao |
| 2024 | NAACL | ZhuJiu-Knowledge: A Fairer Platform for Evaluating Multiple Knowledge Types in Large Language Models. | Pengfan Du, Sirui Liang, Baoli Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2023 | AAAI | Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning. | Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao |
| 2023 | AAAI | Event Process Typing via Hierarchical Optimal Transport. | Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao |
| 2023 | ACL | EventOA: An Event Ontology Alignment Benchmark Based on FrameNet and Wikidata. | Shaoru Guo, Chenhao Wang, Yubo Chen, Kang Liu, Ru Li, Jun Zhao |
| 2023 | EMNLP | Event Ontology Completion with Hierarchical Structure Evolution Networks. | Pengfei Cao, Yupu Hao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao |
| 2023 | EMNLP | Complex Event Schema Induction with Knowledge-Enriched Diffusion Model. | Yupu Hao, Pengfei Cao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao |
| 2023 | EMNLP | LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation. | Zhitao He, Pengfei Cao, Yubo Chen, Kang Liu, Ruopeng Li, Mengshu Sun, Jun Zhao |
| 2023 | EMNLP | InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models. | Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2023 | EMNLP | Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching. | Zhuoran Jin, Pengfei Cao, Zhitao He, Yubo Chen, Kang Liu, Jun Zhao |
| 2023 | EMNLP | ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models. | Baoli Zhang, Haining Xie, Pengfan Du, Junhao Chen, Pengfei Cao, Yubo Chen, Shengping Liu, Kang Liu, Jun Zhao |
| 2022 | ACL | Learning Reasoning Patterns for Relational Triple Extraction with Mutual Generation of Text and Graph. | Yubo Chen, Yunqi Zhang, Yongfeng Huang |
| 2022 | ACL | CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge. | Zhuoran Jin, Tianyi Men, Hongbang Yuan, Zhitao He, Dianbo Sui, Chenhao Wang, Zhipeng Xue, Yubo Chen, Jun Zhao |
| 2022 | COLING | CASIA@SMM4H'22: A Uniform Health Information Mining System for Multilingual Social Media Texts. | Jia Fu, Sirui Li, Hui Ming Yuan, Zhucong Li, Zhen Gan, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu |
| 2022 | COLING | Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning. | Xiusheng Huang, Hang Yang, Yubo Chen, Jun Zhao, Kang Liu, Weijian Sun, Zuyu Zhao |
| 2022 | COLING | Generating Temporally-ordered Event Sequences via Event Optimal Transport. | Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Qiuxia Li |
| 2022 | COLING | Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage Sequence-to-Sequence Approach. | Bo Zhou, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Qiuxia Li |
| 2022 | DASC | OLAP over Big COVID-19 Data: A Real-Life Case Study. | Alfredo Cuzzocrea, Carson K. Leung, Selim Soufargi, Carmine Gallo, Siyuan Shang, Yubo Chen |
| 2022 | ECCV | Contrastive Vision-Language Pre-training with Limited Resources. | Quan Cui, Boyan Zhou, Yu Guo, Weidong Yin, Hao Wu, Osamu Yoshie, Yubo Chen |
| 2022 | EMNLP | A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing. | Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2022 | EMNLP | CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding. | Zhuoran Jin, Tianyi Men, Hongbang Yuan, Yuyang Zhou, Pengfei Cao, Yubo Chen, Zhipeng Xue, Kang Liu, Jun Zhao |
| 2022 | EMNLP | CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models. | Chenhao Wang, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao |
| 2022 | EMNLP | RelU-Net: Syntax-aware Graph U-Net for Relational Triple Extraction. | Yunqi Zhang, Yubo Chen, Yongfeng Huang |
| 2021 | AAAI | CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge. | Chenhao Wang, Yubo Chen, Zhipeng Xue, Yang Zhou, Jun Zhao |
| 2021 | AAAI | What the Role is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering. | Yang Zhou, Yubo Chen, Jun Zhao, Yin Wu, Jiexin Xu, Jinlong Li |
| 2021 | ACL | Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks. | Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Yuguang Chen, Weihua Peng |
| 2021 | ACL | Named Entity Recognition via Noise Aware Training Mechanism with Data Filter. | Xiusheng Huang, Yubo Chen, Shun Wu, Jun Zhao, Yuantao Xie, Weijian Sun |
| 2021 | ACL | CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet. | Zhuoran Jin, Yubo Chen, Dianbo Sui, Chenhao Wang, Zhipeng Xue, Jun Zhao |
| 2021 | ACL | A Large-Scale Chinese Multimodal NER Dataset with Speech Clues. | Dianbo Sui, Zhengkun Tian, Yubo Chen, Kang Liu, Jun Zhao |
| 2021 | ACL | Document-level Event Extraction via Parallel Prediction Networks. | Hang Yang, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang |
| 2021 | ACL | Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism. | Tong Zhou, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Kun Niu, Weifeng Chong, Shengping Liu |
| 2021 | ACL | LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification. | Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen |
| 2021 | ACL | Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement. | Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen |
| 2021 | CIKM | Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction. | Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Wei Bi |
| 2021 | CIKM | Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder. | Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang |
| 2021 | CIKM | Multi-Task Self-Supervised Learning for Script Event Prediction. | Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Jinlong Li |
| 2021 | COMPSAC | A Data Science Solution for Supporting Social and Economic Analysis. | Yubo Chen, Carson K. Leung, Hao Li, Siyuan Shang, Wanmeng Wang, Zhi Zheng |
| 2021 | EACL | Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents. | Pei Chen, Kang Liu, Yubo Chen, Taifeng Wang, Jun Zhao |
| 2021 | EMNLP | Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification. | Pengfei Cao, Yubo Chen, Yuqing Yang, Kang Liu, Jun Zhao |
| 2021 | EMNLP | Distantly Supervised Relation Extraction in Federated Settings. | Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao |
| 2021 | EMNLP | Set Generation Networks for End-to-End Knowledge Base Population. | Dianbo Sui, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao, Wei Bi |
| 2021 | EMNLP | CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset. | Baoli Zhang, Zhucong Li, Zhen Gan, Yubo Chen, Jing Wan, Kang Liu, Jun Zhao, Shengping Liu, Yafei Shi |
| 2021 | NAACL | Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network. | Yubo Chen, Yunqi Zhang, Changran Hu, Yongfeng Huang |
| 2021 | NAACL | Knowledge Guided Metric Learning for Few-Shot Text Classification. | Dianbo Sui, Yubo Chen, Binjie Mao, Delai Qiu, Kang Liu, Jun Zhao |
| 2020 | ACL | HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding. | Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu, Weifeng Chong |
| 2020 | ACL | Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes. | Pengfei Cao, Chenwei Yan, Xiangling Fu, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu, Weifeng Chong |
| 2020 | COLING | KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision. | Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao |
| 2020 | EMNLP | Incremental Event Detection via Knowledge Consolidation Networks. | Pengfei Cao, Yubo Chen, Jun Zhao, Taifeng Wang |
| 2020 | EMNLP | How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization. | Jian Liu, Yubo Chen, Kang Liu, Yantao Jia, Zhicheng Sheng |
| 2020 | EMNLP | Event Extraction as Machine Reading Comprehension. | Jian Liu, Yubo Chen, Kang Liu, Wei Bi, Xiaojiang Liu |
| 2020 | EMNLP | FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction. | Dianbo Sui, Yubo Chen, Jun Zhao, Yantao Jia, Yuantao Xie, Weijian Sun |
| 2020 | HPCC | Spatial Data Science of COVID-19 Data. | Siyuan Shang, Carson K. Leung, Yubo Chen, Adam G. M. Pazdor |
| 2020 | IJCAI | Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations. | Jian Liu, Yubo Chen, Jun Zhao |
| 2020 | IJCNLP | Named Entity Recognition in Multi-level Contexts. | Yubo Chen, Chuhan Wu, Tao Qi, Zhigang Yuan, Yongfeng Huang |
| 2020 | IJCNLP | Reconstructing Event Regions for Event Extraction via Graph Attention Networks. | Pei Chen, Hang Yang, Kang Liu, Ruihong Huang, Yubo Chen, Taifeng Wang, Jun Zhao |
| 2020 | ISPA | Temporal Data Analytics on COVID-19 Data with Ubiquitous Computing. | Yubo Chen, Carson K. Leung, Siyuan Shang, Qi Wen |
| 2020 | IV | Big Data Visualization and Visual Analytics of COVID-19 Data. | Carson K. Leung, Yubo Chen, Calvin S. H. Hoi, Siyuan Shang, Yan Wen, Alfredo Cuzzocrea |
| 2019 | AAAI | Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection. | Jian Liu, Yubo Chen, Kang Liu |
| 2019 | EMNLP | Neural Cross-Lingual Event Detection with Minimal Parallel Resources. | Jian Liu, Yubo Chen, Kang Liu, Jun Zhao |
| 2019 | EMNLP | Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network. | Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu |
| 2018 | AAAI | Event Detection via Gated Multilingual Attention Mechanism. | Jian Liu, Yubo Chen, Kang Liu, Jun Zhao |
| 2018 | ACL | DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data. | Hang Yang, Yubo Chen, Kang Liu, Yang Xiao, Jun Zhao |
| 2018 | EMNLP | Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms. | Yubo Chen, Hang Yang, Kang Liu, Jun Zhao, Yantao Jia |
| 2018 | EMNLP | Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism. | Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu |
| 2017 | ACL | Automatically Labeled Data Generation for Large Scale Event Extraction. | Yubo Chen, Shulin Liu, Xiang Zhang, Kang Liu, Jun Zhao |
| 2017 | ACL | Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms. | Shulin Liu, Yubo Chen, Kang Liu, Jun Zhao |
| 2016 | ACL | Leveraging FrameNet to Improve Automatic Event Detection. | Shulin Liu, Yubo Chen, Shizhu He, Kang Liu, Jun Zhao |
| 2015 | ACL | Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks. | Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, Jun Zhao |
| 2015 | EMNLP | Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks. | Daojian Zeng, Kang Liu, Yubo Chen, Jun Zhao |
| 2014 | COLING | Group Non-negative Matrix Factorization with Natural Categories for Question Retrieval in Community Question Answer Archives. | Guangyou Zhou, Yubo Chen, Daojian Zeng, Jun Zhao |
| 2013 | ACL | Mining Opinion Words and Opinion Targets in a Two-Stage Framework. | Liheng Xu, Kang Liu, Siwei Lai, Yubo Chen, Jun Zhao |
| 2013 | CIKM | Towards faster and better retrieval models for question search. | Guangyou Zhou, Yubo Chen, Daojian Zeng, Jun Zhao |
| 2013 | WWW | Walk and learn: a two-stage approach for opinion words and opinion targets co-extraction. | Liheng Xu, Kang Liu, Siwei Lai, Yubo Chen, Jun Zhao |