Question Difficulty Estimation in Community Question Answering Services. - Jing Liu 022; Quan Wang 002; Chin-Yew Lin; Hsiao-Wuen Hon (EMNLP, 2013)

A Regularized Competition Model for Question Difficulty Estimation in Community Question Answering Services. - Quan Wang 002; Jing Liu 022; Bin Wang 004; Li Guo 001 (EMNLP, 2014)

Semantically Smooth Knowledge Graph Embedding. - Shu Guo; Quan Wang 002; Bin Wang 004; Lihong Wang; Li Guo 001 (ACL (1), 2015)

Context-Dependent Knowledge Graph Embedding. - Yuanfei Luo; Quan Wang 002; Bin Wang 004; Li Guo 001 (EMNLP, 2015)

Knowledge Base Completion Using Embeddings and Rules. - Quan Wang 002; Bin Wang 004; Li Guo 001 (IJCAI, 2015)

Knowledge Base Completion via Coupled Path Ranking. - Quan Wang 002; Jing Liu 022; Yuanfei Luo; Bin Wang 004; Chin-Yew Lin (ACL (1), 2016)

Knowledge Base Completion via Rule-Enhanced Relational Learning. - Shu Guo; Boyang Ding; Quan Wang 002; Lihong Wang; Bin Wang 004 (CCKS, 2016)

Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks. - Xiaotian Jiang; Quan Wang 002; Peng Li 021; Bin Wang 004 (COLING, 2016)

Jointly Embedding Knowledge Graphs and Logical Rules. - Shu Guo; Quan Wang 002; Lihong Wang; Bin Wang 004; Li Guo 001 (EMNLP, 2016)

Multi-Granularity Chinese Word Embedding. - Rongchao Yin; Quan Wang 002; Peng Li 021; Rui Li 022; Bin Wang 004 (EMNLP, 2016)

Attentive Path Combination for Knowledge Graph Completion. - Xiaotian Jiang; Quan Wang 002; Baoyuan Qi; Yongqin Qiu; Peng Li 021; Bin Wang 004 (ACML, 2017)

Constructing and Embedding Abstract Event Causality Networks from Text Snippets. - Sendong Zhao; Quan Wang 002; Sean Massung; Bing Qin 001; Ting Liu 001; Bin Wang 004; ChengXiang Zhai (WSDM, 2017)

Leveraging Text and Knowledge Bases for Triple Scoring: An Ensemble Approach - The BOKCHOY Triple Scorer at WSDM Cup 2017. - Boyang Ding; Quan Wang 002; Bin Wang 004 (CoRR, 2017)

SSE: Semantically Smooth Embedding for Knowledge Graphs. - Shu Guo; Quan Wang 002; Bin Wang 004; Lihong Wang; Li Guo 001 (IEEE Trans. Knowl. Data Eng., 2017)

Knowledge Graph Embedding: A Survey of Approaches and Applications. - Quan Wang 002; Zhendong Mao 001; Bin Wang 004; Li Guo 001 (IEEE Trans. Knowl. Data Eng., 2017)

Knowledge Graph Embedding With Iterative Guidance From Soft Rules. - Shu Guo; Quan Wang 002; Lihong Wang; Bin Wang 004; Li Guo 001 (AAAI, 2018)

Improving Knowledge Graph Embedding Using Simple Constraints. - Boyang Ding; Quan Wang 002; Bin Wang 004; Li Guo 001 (ACL (1), 2018)

Post Tuned Hashing: A New Approach to Indexing High-dimensional Data. - Zhendong Mao 001; Quan Wang 002; Yongdong Zhang 001; Bin Wang 004 (ACM Multimedia, 2018)

D-NET: A Pre-Training and Fine-Tuning Framework for Improving the Generalization of Machine Reading Comprehension. - Hongyu Li; Xiyuan Zhang 002; Yibing Liu; Yiming Zhang; Quan Wang 002; Xiangyang Zhou; Jing Liu 022; Hua Wu 003; Haifeng Wang 001 (MRQA@EMNLP, 2019)

Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension. - An Yang; Quan Wang 002; Jing Liu 022; Kai Liu 023; Yajuan Lyu; Hua Wu 003; Qiaoqiao She; Sujian Li (ACL (1), 2019)

Adaptive Convolution for Multi-Relational Learning. - Xiaotian Jiang; Quan Wang 002; Bin Wang 004 (NAACL-HLT (1), 2019)

An Overview of the 2019 Language and Intelligence Challenge. - Quan Wang 002; Wenquan Wu; Yabing Shi; Hongyu Li; Zhen Guo; Wei He 014; Hongyu Liu; Ying Chen 011; Yajuan Lyu; Hua Wu 003 (NLPCC (2), 2019)

CoKE: Contextualized Knowledge Graph Embedding. - Quan Wang 002; Pingping Huang; Haifeng Wang 001; Songtai Dai; Wenbin Jiang 002; Jing Liu 022; Yajuan Lyu; Yong Zhu 004; Hua Wu 003 (CoRR, 2019)

Curriculum Learning for Natural Language Understanding. - Benfeng Xu; Licheng Zhang; Zhendong Mao 001; Quan Wang 002; Hongtao Xie; Yongdong Zhang 001 (ACL, 2020)

Event Extraction as Multi-turn Question Answering. - Fayuan Li; Weihua Peng; Yuguang Chen; Quan Wang 002; Lu Pan; Yajuan Lyu; Yong Zhu 004 (EMNLP (Findings), 2020)

DuEE: A Large-Scale Dataset for Chinese Event Extraction in Real-World Scenarios. - Xinyu Li; Fayuan Li; Lu Pan; Yuguang Chen; Weihua Peng; Quan Wang 002; Yajuan Lyu; Yong Zhu 004 (NLPCC (2), 2020)

Deep Metric Learning with Self-Supervised Ranking. - Zheren Fu; Yan Li 068; Zhendong Mao 001; Quan Wang 002; Yongdong Zhang 001 (AAAI, 2021)

Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. - Benfeng Xu; Quan Wang 002; Yajuan Lyu; Yong Zhu 004; Zhendong Mao 001 (AAAI, 2021)

Link Prediction on N-ary Relational Facts: A Graph-based Approach. - Quan Wang 002; Haifeng Wang 001; Yajuan Lyu; Yong Zhu 004 (ACL/IJCNLP (Findings), 2021)

BDKG at MEDIQA 2021: System Report for the Radiology Report Summarization Task. - Songtai Dai; Quan Wang 002; Yajuan Lyu; Yong Zhu 004 (BioNLP@NAACL-HLT, 2021)

Building Chinese Biomedical Language Models via Multi-Level Text Discrimination. - Quan Wang 002; Songtai Dai; Benfeng Xu; Yajuan Lyu; Yong Zhu 004; Hua Wu 003; Haifeng Wang 001 (CoRR, 2021)

Review and Arrange: Curriculum Learning for Natural Language Understanding. - Licheng Zhang; Zhendong Mao 001; Benfeng Xu; Quan Wang 002; Yongdong Zhang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples. - Yu Xia; Quan Wang 002; Yajuan Lyu; Yong Zhu 004; Wenhao Wu; Sujian Li; Dai Dai (ACL (Findings), 2022)

Abusive Language Detection with Graph based Multi-task Learning. - Chunyun Zhang; Xi Zhang 008; Quan Wang 002; Jiayi Liang; Ge Zhang; Sanchuan Guo; Wenyu Zang; Yongdong Zhang 001 (IEEE Big Data, 2022)

Negative-Aware Attention Framework for Image-Text Matching. - Kun Zhang 040; Zhendong Mao 001; Quan Wang 002; Yongdong Zhang 001 (CVPR, 2022)

Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity. - Jiahao Li 004; Quan Wang 002; Zhendong Mao 001; Junbo Guo; Yanyan Yang; Yongdong Zhang 001 (EMNLP, 2022)

MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection. - Jiaqi Zheng 006; Xi Zhang 008; Sanchuan Guo; Quan Wang 002; Wenyu Zang; Yongdong Zhang 001 (IJCAI, 2022)

DSE-GAN: Dynamic Semantic Evolution Generative Adversarial Network for Text-to-Image Generation. - Mengqi Huang; Zhendong Mao 001; Penghui Wang; Quan Wang 002; Yongdong Zhang 001 (ACM Multimedia, 2022)

EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction. - Benfeng Xu; Quan Wang 002; Yajuan Lyu; Yabing Shi; Yong Zhu 004; Jie Gao; Zhendong Mao 001 (NAACL-HLT, 2022)

Text Style Transfer with Contrastive Transfer Pattern Mining. - Jingxuan Han; Quan Wang 002; Licheng Zhang; Weidong Chen 013; Yan Song 004; Zhendong Mao 001 (ACL (1), 2023)

S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction. - Benfeng Xu; Quan Wang 002; Yajuan Lyu; Dai Dai; Yongdong Zhang 001; Zhendong Mao 001 (ACL (1), 2023)

Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation. - Mengqi Huang; Zhendong Mao 001; Quan Wang 002; Yongdong Zhang 001 (CVPR, 2023)

E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation. - Fengyi Fu; Lei Zhang 119; Quan Wang 002; Zhendong Mao 001 (EMNLP, 2023)

IAEval: A Comprehensive Evaluation of Instance Attribution on Natural Language Understanding. - Peijian Gu; Yaozong Shen; Lijie Wang; Quan Wang 002; Hua Wu 003; Zhendong Mao 001 (EMNLP (Findings), 2023)

Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation. - Jiaang Li 001; Quan Wang 002; Yi Liu; Licheng Zhang; Zhendong Mao 001 (EMNLP, 2023)

Grammatical Error Correction via Mixed-Grained Weighted Training. - Jiahao Li 004; Quan Wang 002; Chiwei Zhu; Zhendong Mao 001; Yongdong Zhang 001 (EMNLP (Findings), 2023)

Air-Decoding: Attribute Distribution Reconstruction for Decoding-Time Controllable Text Generation. - Tianqi Zhong; Quan Wang 002; Jingxuan Han; Yongdong Zhang 001; Zhendong Mao 001 (EMNLP, 2023)

On the Calibration of Large Language Models and Alignment. - Chiwei Zhu; Benfeng Xu; Quan Wang 002; Yongdong Zhang 001; Zhendong Mao 001 (EMNLP (Findings), 2023)

Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers. - Jiaang Li 001; Quan Wang 002; Zhendong Mao 001 (ICASSP, 2023)

SADE: A Self-Adaptive Expert for Multi-Dataset Question Answering. - Yixing Peng; Quan Wang 002; Zhendong Mao 001; Yong-Dong Zhang 001 (ICASSP, 2023)

$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. - Benfeng Xu; Quan Wang 002; Zhendong Mao 001; Yajuan Lyu; Qiaoqiao She; Yongdong Zhang 001 (ICLR, 2023)

kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. - Benfeng Xu; Quan Wang 002; Zhendong Mao 001; Yajuan Lyu; Qiaoqiao She; Yongdong Zhang 001 (CoRR, 2023)

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts. - Benfeng Xu; An Yang; Junyang Lin; Quan Wang 002; Chang Zhou; Yongdong Zhang 001; Zhendong Mao 001 (CoRR, 2023)

Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. - Yihan Chen; Benfeng Xu; Quan Wang 002; Yi Liu; Zhendong Mao 001 (AAAI, 2024)

Disentangled Learning with Synthetic Parallel Data for Text Style Transfer. - Jingxuan Han; Quan Wang 002; Zikang Guo; Benfeng Xu; Licheng Zhang; Zhendong Mao 001 (ACL (1), 2024)

Feature-Adaptive and Data-Scalable In-Context Learning. - Jiahao Li 004; Quan Wang 002; Licheng Zhang; Guoqing Jin; Zhendong Mao 001 (ACL (1), 2024)

Chain-of-Question: A Progressive Question Decomposition Approach for Complex Knowledge Base Question Answering. - Yixing Peng; Quan Wang 002; Licheng Zhang; Yi Liu; Zhendong Mao 001 (ACL (Findings), 2024)

Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. - Tianqi Zhong; Zhaoyi Li; Quan Wang 002; Linqi Song; Ying Wei 001; Defu Lian; Zhendong Mao 001 (ACL (1), 2024)

IDEATE: Detecting AI-Generated Text Using Internal and External Factual Structures. - Quan Wang 002; Licheng Zhang; Zikang Guo; Zhendong Mao 001 (LREC/COLING, 2024)

FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization. - Mingye Zhu; Yi Liu; Quan Wang 002; Junbo Guo; Zhendong Mao 001 (EMNLP, 2024)

USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings. - Zikang Guo; Kaijie Jiao; Xingyu Yao; Yuning Wan; Haoran Li; Benfeng Xu; Licheng Zhang; Quan Wang 002; Yongdong Zhang 001; Zhendong Mao 001 (SemEval@NAACL, 2024)

Enhance Lifelong Model Editing with Continuous Data-Adapter Association. - Jiaang Li 001; Quan Wang 002; Zhongnan Wang; Yongdong Zhang 001; Zhendong Mao 001 (CoRR, 2024)

Curriculum Learning Driven Domain Adaptation for Low-Resource Machine Reading Comprehension. - Licheng Zhang; Quan Wang 002; Benfeng Xu; Yi Liu; Zhendong Mao 001 (IEEE Signal Process. Lett., 2024)

Document-level Relation Extraction with Progressive Self-distillation. - Quan Wang 002; Zhendong Mao 001; Jie Gao; Yongdong Zhang 001 (ACM Trans. Inf. Syst., 2024)

ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA. - Jiaang Li 001; Quan Wang 002; Zhongnan Wang; Yongdong Zhang 001; Zhendong Mao 001 (AAAI, 2025)

Improve Safety Training of Large Language Models with Safety-Critical Singular Vectors Localization. - Peijian Gu; Quan Wang 002; Zhendong Mao 001 (ACL (1), 2025)

Fine-grained Knowledge Enhancement for Retrieval-Augmented Generation. - Jingxuan Han; Zhendong Mao 001; Yi Liu; Yexuan Che; Zheren Fu; Quan Wang 002 (ACL (Findings), 2025)

M-RangeDetector: Enhancing Generalization in Machine-Generated Text Detection through Multi-Range Attention Masks. - Kaijie Jiao; Quan Wang 002; Licheng Zhang; Zikang Guo; Zhendong Mao 001 (ACL (Findings), 2025)

Alleviating Hallucinations in Large Language Models via Truthfulness-driven Rank-adaptive LoRA. - Jiahao Li 004; Zhendong Mao 001; Quan Wang 002 (ACL (Findings), 2025)

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability. - Chiwei Zhu; Benfeng Xu; An Yang; Junyang Lin; Quan Wang 002; Chang Zhou; Zhendong Mao 001 (ACL (Findings), 2025)

CMI-AIGCX at GenAI Detection Task 2: Leveraging Multilingual Proxy LLMs for Machine-Generated Text Detection in Academic Essays. - Kaijie Jiao; Xingyu Yao; Shixuan Ma; Sifan Fang; Zikang Guo; Benfeng Xu; Licheng Zhang; Quan Wang 002; Yongdong Zhang 001; Zhendong Mao 001 (COLING Workshops, 2025)

Continual Origin Tracing of LLM-Generated Text. - Haoran Li; Quan Wang 002 (SIGIR, 2025)

Leveraging Robust Optimization for LLM Alignment under Distribution Shifts. - Mingye Zhu; Yi Liu; Junbo Guo; Quan Wang 002; Yong-Dong Zhang 001; Zhendong Mao 001 (CoRR, 2025)