| 2026 | AAAI | SCOPE: Intrinsic Semantic Space Control for Mitigating Copyright Infringement in LLMs. | Zhenliang Zhang, Xinyu Hu, Xiaojun Wan |
| 2026 | ACL | From TDMA to CDMA: A Multi-bit Watermark for Diffusion Language Models. | Baizhou Huang, Xiaojun Wan |
| 2026 | ACL | CE-RM: A Pointwise Generative Reward Model Optimized via Two-Stage Rollout and Unified Criteria. | Xinyu Hu, Yancheng He, Weixun Wang, Tao Feng, Li Lin, Jiashun Liu, Wenbo Su, Bo Zheng, Xiaojun Wan |
| 2026 | ACL | Edit-Aware Reward Modeling for Chinese Grammatical Error Correction. | Yilin Li, Xiaojun Wan |
| 2026 | ACL | HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination Taxonomy. | Fan Xu, Xinyu Hu, Zhenghan Yu, Li Lin, Xu Zhang, Yang Zhang, Wei Zhou, Jinjie Gu, Xiaojun Wan |
| 2026 | ACL | DecoCal: Decoding with Calibration in Diffusion Large Language Models. | Fan Xu, Huixuan Zhang, Xiaojun Wan |
| 2026 | ACL | JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query Generation. | Fan Xu, Huixuan Zhang, Zhenliang Zhang, Jiahao Wang, Xiaojun Wan |
| 2026 | ACL | LEDOM: Reverse Language Model. | Xunjian Yin, Sitao Cheng, Yuxi Xie, Xinyu Hu, Li Lin, Xinyi Wang, Liangming Pan, William Yang Wang, Xiaojun Wan |
| 2026 | ACL | RST-Guarder: Enhancing Long-Context Robustness for Safeguards via RST Parsing and Probabilistic Inference. | Xu Zhang, Xiaojun Wan |
| 2026 | ACL | Minos: A Multimodal Evaluation Model for Bidirectional Generation Between Image and Text. | Junzhe Zhang, Huixuan Zhang, Xinyu Hu, Li Lin, Mingqi Gao, Shi Qiu, Xiaojun Wan |
| 2026 | ACL | UMMF: Protecting Copyright of Large Vision-Language Models through Unlearning-based Multimodal Memorization Fingerprint. | Xiaofan Zheng, Xinghao Wang, Xiaojun Wan |
| 2026 | ACL | Ghost in the Shell: Synonym-Aware Logit Shaping Fingerprint for Copyright Protection of Large Vision-Language Models. | Xiaofan Zheng, Xinghao Wang, Xiaojun Wan |
| 2026 | ACL | QuantileMark: A Message-Symmetric Multi-bit Watermark for LLMs. | Junlin Zhu, Baizhou Huang, Xiaojun Wan |
| 2025 | AAAI | DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models. | Jinxiang Xie, Yilin Li, Xunjian Yin, Xiaojun Wan |
| 2025 | ACL | A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability. | Xinyu Hu, Mingqi Gao, Li Lin, Zhenghan Yu, Xiaojun Wan |
| 2025 | ACL | MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency. | Junzhe Zhang, Huixuan Zhang, Xunjian Yin, Baizhou Huang, Xu Zhang, Xinyu Hu, Xiaojun Wan |
| 2025 | ACL | TriEmbed: Bridge the Gap between Text and Token Indices with Embedding Reparameterization. | Baizhou Huang, Xiaojun Wan |
| 2025 | ACL | Who Writes What: Unveiling the Impact of Author Roles on AI-generated Text Detection. | Jiatao Li, Xiaojun Wan |
| 2025 | ACL | Towards A "Novel" Benchmark: Evaluating Literary Fiction with Large Language Models. | Wenqing Wang, Mingqi Gao, Xinyu Hu, Xiaojun Wan |
| 2025 | ACL | Gdel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement. | Xunjian Yin, Xinyi Wang, Liangming Pan, Li Lin, Xiaojun Wan, William Yang Wang |
| 2025 | ACL | ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs. | Zhenliang Zhang, Xinyu Hu, Huixuan Zhang, Junzhe Zhang, Xiaojun Wan |
| 2025 | CIKM | Where Do LLMs Go Wrong? Diagnosing Automated Peer Review via Aspect-Guided Multi-Level Perturbation. | Jiatao Li, Yanheng Li, Xinyu Hu, Mingqi Gao, Xiaojun Wan |
| 2025 | CIKM | Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models. | Zhenliang Zhang, Junzhe Zhang, Xinyu Hu, Huixuan Zhang, Xiaojun Wan |
| 2025 | CIKM | C-FAITH: A Chinese Fine-Grained Benchmark for Automated Hallucination Evaluation. | Xu Zhang, Zhifei Liu, Jiahao Wang, Huixuan Zhang, Fan Xu, Junzhe Zhang, Xiaojun Wan |
| 2025 | EMNLP | Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models. | Boyu Jia, Junzhe Zhang, Huixuan Zhang, Xiaojun Wan |
| 2025 | EMNLP | R-Bind: Unified Enhancement of Attribute and Relation Binding in Text-to-Image Diffusion Models. | Huixuan Zhang, Xiaojun Wan |
| 2025 | EMNLP | DAMON: A Dialogue-Aware MCTS Framework for Jailbreaking Large Language Models. | Xu Zhang, Xunjian Yin, Dinghao Jing, Huixuan Zhang, Xinyu Hu, Xiaojun Wan |
| 2025 | EMNLP | Tracing Training Footprints: A Calibration Approach for Membership Inference Attacks Against Multimodal Large Language Models. | Xiaofan Zheng, Huixuan Zhang, Xiaojun Wan |
| 2025 | NAACL | Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation. | Mingqi Gao, Xinyu Hu, Li Lin, Xiaojun Wan |
| 2025 | NAACL | Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference. | Mingqi Gao, Yixin Liu, Xinyu Hu, Xiaojun Wan, Jonathan Bragg, Arman Cohan |
| 2025 | NAACL | B⁴: A Black-Box Scrubbing Attack on LLM Watermarks. | Baizhou Huang, Xiao Pu, Xiaojun Wan |
| 2025 | NAACL | WaterPool: A Language Model Watermark Mitigating Trade-Offs among Imperceptibility, Efficacy and Robustness. | Baizhou Huang, Xiaojun Wan |
| 2025 | NAACL | Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models. | Jiatao Li, Xinyu Hu, Xunjian Yin, Xiaojun Wan |
| 2024 | AAAI | Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling. | Jie Ruan, Xiao Pu, Mingqi Gao, Xiaojun Wan, Yuesheng Zhu |
| 2024 | AAAI | History Matters: Temporal Knowledge Editing in Large Language Model. | Xunjian Yin, Jin Jiang, Liming Yang, Xiaojun Wan |
| 2024 | ACL | Are LLM-based Evaluators Confusing NLG Quality Criteria? | Xinyu Hu, Mingqi Gao, Sen Hu, Yang Zhang, Yicheng Chen, Teng Xu, Xiaojun Wan |
| 2024 | ACL | Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency. | Baizhou Huang, Shuai Lu, Xiaojun Wan, Nan Duan |
| 2024 | ACL | Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation. | Xunjian Yin, Xu Zhang, Jie Ruan, Xiaojun Wan |
| 2024 | COLING | Contextual Modeling for Document-level ASR Error Correction. | Jin Jiang, Xunjian Yin, Xiaojun Wan, Wei Peng, Rongjun Li, Jingyuan Yang, Yanquan Zhou |
| 2024 | COLING | Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks. | Xiao Pu, Mingqi Gao, Xiaojun Wan |
| 2024 | COLING | Error-Robust Retrieval for Chinese Spelling Check. | Xunjian Yin, Xinyu Hu, Jin Jiang, Xiaojun Wan |
| 2024 | COLING | Image Matters: A New Dataset and Empirical Study for Multimodal Hyperbole Detection. | Huixuan Zhang, Xiaojun Wan |
| 2024 | EMNLP | Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles. | Xiao Pu, Tianxing He, Xiaojun Wan |
| 2024 | EMNLP | Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability. | Xinyu Hu, Li Lin, Mingqi Gao, Xunjian Yin, Xiaojun Wan |
| 2024 | EMNLP | PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models. | Huixuan Zhang, Yun Lin, Xiaojun Wan |
| 2024 | ICASSP | Cross Modal Training for ASR Error Correction with Contrastive Learning. | Jin Jiang, Xiaojun Wan, Wei Peng, Rongjun Li, Jingyuan Yang, Yanquan Zhou |
| 2024 | ICML | Selecting Large Language Model to Fine-tune via Rectified Scaling Law. | Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang |
| 2024 | NAACL | Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation. | Jie Ruan, Wenqing Wang, Xiaojun Wan |
| 2024 | WACV | Describe Images in a Boring Way: Towards Cross-Modal Sarcasm Generation. | Jie Ruan, Yue Wu, Xiaojun Wan, Yuesheng Zhu |
| 2023 | ACL | Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework. | Mingqi Gao, Xiaojun Wan, Jia Su, Zhefeng Wang, Baoxing Huai |
| 2023 | ACL | Evaluating Factuality in Cross-lingual Summarization. | Mingqi Gao, Wenqing Wang, Xiaojun Wan, Yuemei Xu |
| 2023 | ACL | Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification. | Renliang Sun, Wei Xu, Xiaojun Wan |
| 2023 | ACL | A New Dataset and Empirical Study for Sentence Simplification in Chinese. | Shiping Yang, Renliang Sun, Xiaojun Wan |
| 2023 | ACL | MIL-Decoding: Detoxifying Language Models at Token-Level via Multiple Instance Learning. | Xu Zhang, Xiaojun Wan |
| 2023 | ACL | Exploring the Impact of Vision Features in News Image Captioning. | Junzhe Zhang, Xiaojun Wan |
| 2023 | EACL | Exploiting Summarization Data to Help Text Simplification. | Renliang Sun, Zhixian Yang, Xiaojun Wan |
| 2023 | EMNLP | Exploring Discourse Structure in Document-level Machine Translation. | Xinyu Hu, Xiaojun Wan |
| 2023 | EMNLP | Exploring Context-Aware Evaluation Metrics for Machine Translation. | Xinyu Hu, Xunjian Yin, Xiaojun Wan |
| 2023 | EMNLP | Models See Hallucinations: Evaluating the Factuality in Video Captioning. | Hui Liu, Xiaojun Wan |
| 2023 | EMNLP | New Datasets and Controllable Iterative Data Augmentation Method for Code-switching ASR Error Correction. | Zhaohong Wan, Xiaojun Wan, Wei Peng, Rongjun Li |
| 2023 | EMNLP | A New Benchmark and Reverse Validation Method for Passage-level Hallucination Detection. | Shiping Yang, Renliang Sun, Xiaojun Wan |
| 2023 | EMNLP | ALCUNA: Large Language Models Meet New Knowledge. | Xunjian Yin, Baizhou Huang, Xiaojun Wan |
| 2023 | MMM | Visual Question Generation Under Multi-granularity Cross-Modal Interaction. | Zi Chai, Xiaojun Wan, Soyeon Caren Han, Josiah Poon |
| 2022 | AAAI | BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles. | Yunxiang Zhang, Xiaojun Wan |
| 2022 | AAAI | Automatic Slides Generation for Scholarly Papers: A Fine-Grained Dataset and Baselines (Student Abstract). | Sheng Xu, Xiaojun Wan |
| 2022 | AAAI | PosterBot: A System for Generating Posters of Scientific Papers with Neural Models. | Sheng Xu, Xiaojun Wan |
| 2022 | ACL | Dependency-based Mixture Language Models. | Zhixian Yang, Xiaojun Wan |
| 2022 | ACL | How Do Seq2Seq Models Perform on End-to-End Data-to-Text Generation? | Xunjian Yin, Xiaojun Wan |
| 2022 | COLING | Visual Information Guided Zero-Shot Paraphrase Generation. | Zhe Lin, Xiaojun Wan |
| 2022 | COLING | Diversifying Neural Text Generation with Part-of-Speech Guided Softmax and Sampling. | Zhixian Yang, Pengxuan Xu, Xiaojun Wan |
| 2022 | EMNLP | Guiding Abstractive Dialogue Summarization with Content Planning. | Ye Wang, Xiaojun Wan, Zhiping Cai |
| 2022 | KDD | COSSUM: Towards Conversation-Oriented Structured Summarization for Automatic Medical Insurance Assessment. | Sheng Xu, Xiaojun Wan, Sen Hu, Mengdi Zhou, Teng Xu, Hongbin Wang, Haitao Mi |
| 2022 | NAACL | MOVER: Mask, Over-generate and Rank for Hyperbole Generation. | Yunxiang Zhang, Xiaojun Wan |
| 2022 | NAACL | DialSummEval: Revisiting Summarization Evaluation for Dialogues. | Mingqi Gao, Xiaojun Wan |
| 2022 | NAACL | Nearest Neighbor Knowledge Distillation for Neural Machine Translation. | Zhixian Yang, Renliang Sun, Xiaojun Wan |
| 2022 | WACV | GraDual: Graph-based Dual-modal Representation for Image-Text Matching. | Siqu Long, Soyeon Caren Han, Xiaojun Wan, Josiah Poon |
| 2021 | AAAI | Neural Sentence Simplification with Semantic Dependency Information. | Zhe Lin, Xiaojun Wan |
| 2021 | AAAI | Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual Domain Adaptation. | Ke Wang, Guandan Chen, Zhongqiang Huang, Xiaojun Wan, Fei Huang |
| 2021 | ACL | Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing. | Yitao Cai, Zhe Lin, Xiaojun Wan |
| 2021 | ACL | WIND: Weighting Instances Differentially for Model-Agnostic Domain Adaptation. | Xiang Chen, Yue Cao, Xiaojun Wan |
| 2021 | ACL | Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach. | Zhe Lin, Xiaojun Wan |
| 2021 | ACL | Video Paragraph Captioning as a Text Summarization Task. | Hui Liu, Xiaojun Wan |
| 2021 | ACL | TransSum: Translating Aspect and Sentiment Embeddings for Self-Supervised Opinion Summarization. | Ke Wang, Xiaojun Wan |
| 2021 | ACL | Structure-Aware Pre-Training for Table-to-Text Generation. | Xinyu Xing, Xiaojun Wan |
| 2021 | EACL | ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation. | Qingxiu Dong, Xiaojun Wan, Yue Cao |
| 2021 | EMNLP | Revisiting Pivot-Based Paraphrase Generation: Language Is Not the Only Optional Pivot. | Yitao Cai, Yue Cao, Xiaojun Wan |
| 2021 | EMNLP | Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering. | Zhe Lin, Yitao Cai, Xiaojun Wan |
| 2021 | EMNLP | CodeQA: A Question Answering Dataset for Source Code Comprehension. | Chenxiao Liu, Xiaojun Wan |
| 2021 | EMNLP | Document-Level Text Simplification: Dataset, Criteria and Baseline. | Renliang Sun, Hanqi Jin, Xiaojun Wan |
| 2021 | NAACL | Continual Learning for Neural Machine Translation. | Yue Cao, Hao-Ran Wei, Boxing Chen, Xiaojun Wan |
| 2021 | PAKDD | Adverse Drug Events Detection, Extraction and Normalization from Online Comments of Chinese Patent Medicines. | Zi Chai, Xiaojun Wan |
| 2021 | WWW | Learning a Product Relevance Model from Click-Through Data in E-Commerce. | Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan |
| 2020 | AAAI | MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization. | Yue Cao, Xiaojun Wan, Jin-ge Yao, Dian Yu |
| 2020 | AAAI | SemSUM: Semantic Dependency Guided Neural Abstractive Summarization. | Hanqi Jin, Tianming Wang, Xiaojun Wan |
| 2020 | ACL | Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization. | Yue Cao, Hui Liu, Xiaojun Wan |
| 2020 | ACL | Learning to Ask More: Semi-Autoregressive Sequential Question Generation under Dual-Graph Interaction. | Zi Chai, Xiaojun Wan |
| 2020 | ACL | Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization. | Hanqi Jin, Tianming Wang, Xiaojun Wan |
| 2020 | ACL | Automatic Generation of Citation Texts in Scholarly Papers: A Pilot Study. | Xinyu Xing, Xiaosheng Fan, Xiaojun Wan |
| 2020 | ACL | Multimodal Transformer for Multimodal Machine Translation. | Shaowei Yao, Xiaojun Wan |
| 2020 | ACL | Heterogeneous Graph Transformer for Graph-to-Sequence Learning. | Shaowei Yao, Tianming Wang, Xiaojun Wan |
| 2020 | ACL | Semantic Parsing for English as a Second Language. | Yuanyuan Zhao, Weiwei Sun, Junjie Cao, Xiaojun Wan |
| 2020 | COLING | On the Helpfulness of Document Context to Sentence Simplification. | Renliang Sun, Zhe Lin, Xiaojun Wan |
| 2020 | COLING | Improving Grammatical Error Correction with Data Augmentation by Editing Latent Representation. | Zhaohong Wan, Xiaojun Wan, Wenguang Wang |
| 2020 | EMNLP | IGSQL: Database Schema Interaction Graph Based Neural Model for Context-Dependent Text-to-SQL Generation. | Yitao Cai, Xiaojun Wan |
| 2020 | EMNLP | DivGAN: Towards Diverse Paraphrase Generation via Diversified Generative Adversarial Network. | Yue Cao, Xiaojun Wan |
| 2020 | EMNLP | Abstractive Multi-Document Summarization via Joint Learning with Single-Document Summarization. | Hanqi Jin, Xiaojun Wan |
| 2020 | EMNLP | Adversarial Text Generation via Sequence Contrast Discrimination. | Ke Wang, Xiaojun Wan |
| 2020 | EMNLP | Homophonic Pun Generation with Lexically Constrained Rewriting. | Zhiwei Yu, Hongyu Zang, Xiaojun Wan |
| 2020 | EMNLP | Routing Enforced Generative Model for Recipe Generation. | Zhiwei Yu, Hongyu Zang, Xiaojun Wan |
| 2020 | IJCAI | Better AMR-To-Text Generation with Graph Structure Reconstruction. | Tianming Wang, Xiaojun Wan, Shaowei Yao |
| 2020 | WWW | TransModality: An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis. | Zilong Wang, Zhaohong Wan, Xiaojun Wan |
| 2020 | SIGIR | Domain-Adaptive Neural Automated Essay Scoring. | Yue Cao, Hanqi Jin, Xiaojun Wan, Zhiwei Yu |
| 2019 | AAAI | Hierarchical Attention Networks for Sentence Ordering. | Tianming Wang, Xiaojun Wan |
| 2019 | ACL | Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model. | Yitao Cai, Huiyu Cai, Xiaojun Wan |
| 2019 | ACL | Asking the Crowd: Question Analysis, Evaluation and Generation for Open Discussion on Online Forums. | Zi Chai, Xinyu Xing, Xiaojun Wan, Bo Huang |
| 2019 | ACL | Automated Chess Commentator Powered by Neural Chess Engine. | Hongyu Zang, Zhiwei Yu, Xiaojun Wan |
| 2019 | APSEC | Neural Comment Generation for Source Code with Auxiliary Code Classification Task. | Minghao Chen, Xiaojun Wan |
| 2019 | APWEB | DeepDial: Passage Completion on Dialogs. | Nan Hu, Jianyun Zhou, Xiaojun Wan |
| 2019 | CIKM | Neural Review Summarization Leveraging User and Product Information. | Hui Liu, Xiaojun Wan |
| 2019 | CIKM | Interactive Multi-Grained Joint Model for Targeted Sentiment Analysis. | Da Yin, Xiao Liu, Xiaojun Wan |
| 2019 | CoNLL | Towards a Unified End-to-End Approach for Fully Unsupervised Cross-Lingual Sentiment Analysis. | Yanlin Feng, Xiaojun Wan |
| 2019 | ICCV | Generating Diverse and Descriptive Image Captions Using Visual Paraphrases. | Lixin Liu, Jiajun Tang, Xiaojun Wan, Zongming Guo |
| 2019 | IJCAI | Multi-Domain Sentiment Classification Based on Domain-Aware Embedding and Attention. | Yitao Cai, Xiaojun Wan |
| 2019 | IJCAI | T-CVAE: Transformer-Based Conditioned Variational Autoencoder for Story Completion. | Tianming Wang, Xiaojun Wan |
| 2019 | NAACL | Learning Bilingual Sentiment-Specific Word Embeddings without Cross-lingual Supervision. | Yanlin Feng, Xiaojun Wan |
| 2019 | NAACL | INS: An Interactive Chinese News Synthesis System. | Hui Liu, Wentao Qin, Xiaojun Wan |
| 2019 | NAACL | How to Avoid Sentences Spelling Boring? Towards a Neural Approach to Unsupervised Metaphor Generation. | Zhiwei Yu, Xiaojun Wan |
| 2019 | PAKDD | BAB-QA: A New Neural Model for Emotion Detection in Multi-party Dialogue. | Zilong Wang, Zhaohong Wan, Xiaojun Wan |
| 2019 | SIGIR | Harvesting Drug Effectiveness from Social Media. | Zi Chai, Xiaojun Wan, Zhao Zhang, Minjie Li |
| 2018 | ACL | Sense-Aware Neural Models for Pun Location in Texts. | Yitao Cai, Yin Li, Xiaojun Wan |
| 2018 | ACL | Accurate SHRG-Based Semantic Parsing. | Yufei Chen, Weiwei Sun, Xiaojun Wan |
| 2018 | ACL | Pre- and In-Parsing Models for Neural Empty Category Detection. | Yufei Chen, Yuanyuan Zhao, Weiwei Sun, Xiaojun Wan |
| 2018 | ACL | Language Generation via DAG Transduction. | Yajie Ye, Weiwei Sun, Xiaojun Wan |
| 2018 | ACL | A Neural Approach to Pun Generation. | Zhiwei Yu, Jiwei Tan, Xiaojun Wan |
| 2018 | COLING | Point Precisely: Towards Ensuring the Precision of Data in Generated Texts Using Delayed Copy Mechanism. | Liunian Li, Xiaojun Wan |
| 2018 | CoNLL | Neural Maximum Subgraph Parsing for Cross-Domain Semantic Dependency Analysis. | Yufei Chen, Sheng Huang, Fang Wang, Junjie Cao, Weiwei Sun, Xiaojun Wan |
| 2018 | EMNLP | Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data. | Zi Lin, Yuguang Duan, Yuanyuan Zhao, Weiwei Sun, Xiaojun Wan |
| 2018 | IJCAI | Learning to Explain Ambiguous Headlines of Online News. | Tianyu Liu, Wei Wei, Xiaojun Wan |
| 2018 | IJCAI | SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks. | Ke Wang, Xiaojun Wan |
| 2018 | INLG | Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study. | Jianmin Zhang, Jiwei Tan, Xiaojun Wan |
| 2018 | SIGIR | Sentiment Analysis of Peer Review Texts for Scholarly Papers. | Ke Wang, Xiaojun Wan |
| 2017 | AAAI | ATSUM: Extracting Attractive Summaries for News Propagation on Microblogs. | Fang Liu, Xiaojun Wan |
| 2017 | AAAI | Phrase-Based Presentation Slides Generation for Academic Papers. | Sida Wang, Xiaojun Wan, Shikang Du |
| 2017 | AAAI | Greedy Flipping for Constrained Word Deletion. | Jin-ge Yao, Xiaojun Wan |
| 2017 | ACL | Parsing to 1-Endpoint-Crossing, Pagenumber-2 Graphs. | Junjie Cao, Sheng Huang, Weiwei Sun, Xiaojun Wan |
| 2017 | ACL | Semantic Dependency Parsing via Book Embedding. | Weiwei Sun, Junjie Cao, Xiaojun Wan |
| 2017 | ACL | Abstractive Document Summarization with a Graph-Based Attentional Neural Model. | Jiwei Tan, Xiaojun Wan, Jianguo Xiao |
| 2017 | CoNLL | Parsing for Grammatical Relations via Graph Merging. | Weiwei Sun, Yantao Du, Xiaojun Wan |
| 2017 | CoNLL | The Covert Helps Parse the Overt. | Xun Zhang, Weiwei Sun, Xiaojun Wan |
| 2017 | EMNLP | Quasi-Second-Order Parsing for 1-Endpoint-Crossing, Pagenumber-2 Graphs. | Junjie Cao, Sheng Huang, Weiwei Sun, Xiaojun Wan |
| 2017 | EMNLP | Towards a Universal Sentiment Classifier in Multiple languages. | Kui Xu, Xiaojun Wan |
| 2017 | EMNLP | Towards Automatic Construction of News Overview Articles by News Synthesis. | Jianmin Zhang, Xiaojun Wan |
| 2017 | IJCAI | From Neural Sentence Summarization to Headline Generation: A Coarse-to-Fine Approach. | Jiwei Tan, Xiaojun Wan, Jianguo Xiao |
| 2017 | IJCAI | Learning to Identify Ambiguous and Misleading News Headlines. | Wei Wei, Xiaojun Wan |
| 2017 | IJCNLP | Leveraging Diverse Lexical Chains to Construct Essays for Chinese College Entrance Examination. | Liunian Li, Xiaojun Wan, Jin-ge Yao, Siming Yan |
| 2017 | INLG | Content Selection for Real-time Sports News Construction from Commentary Texts. | Jin-ge Yao, Jianmin Zhang, Xiaojun Wan, Jianguo Xiao |
| 2017 | INLG | Towards Automatic Generation of Product Reviews from Aspect-Sentiment Scores. | Hongyu Zang, Xiaojun Wan |
| 2016 | AAAI | Tweet Timeline Generation with Determinantal Point Processes. | Jin-ge Yao, Feifan Fan, Wayne Xin Zhao, Xiaojun Wan, Edward Y. Chang, Jianguo Xiao |
| 2016 | AAAI | MicroScholar: Mining Scholarly Information from Chinese Microblogs. | Yang Yu, Xiaojun Wan |
| 2016 | ACL | Automatic Labeling of Topic Models Using Text Summaries. | Xiaojun Wan, Tianming Wang |
| 2016 | ACL | User Embedding for Scholarly Microblog Recommendation. | Yang Yu, Xiaojun Wan, Xinjie Zhou |
| 2016 | ACL | Towards Constructing Sports News from Live Text Commentary. | Jianmin Zhang, Jin-ge Yao, Xiaojun Wan |
| 2016 | ACL | Cross-Lingual Sentiment Classification with Bilingual Document Representation Learning. | Xinjie Zhou, Xiaojun Wan, Jianguo Xiao |
| 2016 | CIKM | A Neural Network Approach to Quote Recommendation in Writings. | Jiwei Tan, Xiaojun Wan, Jianguo Xiao |
| 2016 | CIKM | Graph-Based Multi-Modality Learning for Clinical Decision Support. | Ziwei Zheng, Xiaojun Wan |
| 2016 | COLING | PKUSUMSUM : A Java Platform for Multilingual Document Summarization. | Jianmin Zhang, Tianming Wang, Xiaojun Wan |
| 2016 | EMNLP | Attention-based LSTM Network for Cross-Lingual Sentiment Classification. | Xinjie Zhou, Xiaojun Wan, Jianguo Xiao |
| 2015 | AAAI | Learning to Recommend Quotes for Writing. | Jiwei Tan, Xiaojun Wan, Jianguo Xiao |
| 2015 | AAAI | Representation Learning for Aspect Category Detection in Online Reviews. | Xinjie Zhou, Xiaojun Wan, Jianguo Xiao |
| 2015 | ACL | A Data-Driven, Factorization Parser for CCG Dependency Structures. | Yantao Du, Weiwei Sun, Xiaojun Wan |
| 2015 | ACL | BrailleSUM: A News Summarization System for the Blind and Visually Impaired People. | Xiaojun Wan, Yue Hu |
| 2015 | EMNLP | Phrase-based Compressive Cross-Language Summarization. | Jin-ge Yao, Xiaojun Wan, Jianguo Xiao |
| 2015 | IJCAI | Compressive Document Summarization via Sparse Optimization. | Jin-ge Yao, Xiaojun Wan, Jianguo Xiao |
| 2015 | SIGIR | Joint Matrix Factorization and Manifold-Ranking for Topic-Focused Multi-Document Summarization. | Jiwei Tan, Xiaojun Wan, Jianguo Xiao |
| 2014 | AAAI | Emotion Classification in Microblog Texts Using Class Sequential Rules. | Shiyang Wen, Xiaojun Wan |
| 2014 | ACL | Grammatical Relations in Chinese: GB-Ground Extraction and Data-Driven Parsing. | Weiwei Sun, Yantao Du, Xin Kou, Shuoyang Ding, Xiaojun Wan |
| 2014 | EMNLP | Automatic Generation of Related Work Sections in Scientific Papers: An Optimization Approach. | Yue Hu, Xiaojun Wan |
| 2014 | EMNLP | Joint Decoding of Tree Transduction Models for Sentence Compression. | Jin-ge Yao, Xiaojun Wan, Jianguo Xiao |
| 2014 | SIGIR | Cross-language context-aware citation recommendation in scientific articles. | Xuewei Tang, Xiaojun Wan, Xun Zhang |
| 2014 | SIGIR | CTSUM: extracting more certain summaries for news articles. | Xiaojun Wan, Jianmin Zhang |
| 2013 | AAAI | AMRec: An Intelligent System for Academic Method Recommendation. | Shanshan Huang, Xiaojun Wan, Xuewei Tang |
| 2013 | ACL | Learning to Order Natural Language Texts. | Jiwei Tan, Xiaojun Wan, Jianguo Xiao |
| 2013 | ACL | Co-Regression for Cross-Language Review Rating Prediction. | Xiaojun Wan |
| 2013 | EMNLP | Collective Opinion Target Extraction in Chinese Microblogs. | Xinjie Zhou, Xiaojun Wan, Jianguo Xiao |
| 2013 | IJCAI | PPSGen: Learning to Generate Presentation Slides for Academic Papers. | Yue Hu, Xiaojun Wan |
| 2013 | IJCNLP | Capturing Long-distance Dependencies in Sequence Models: A Case Study of Chinese Part-of-speech Tagging. | Weiwei Sun, Xiaochang Peng, Xiaojun Wan |
| 2013 | WISE | AKMiner: Domain-Specific Knowledge Graph Mining from Academic Literatures. | Shanshan Huang, Xiaojun Wan |
| 2012 | ACL | Reducing Approximation and Estimation Errors for Chinese Lexical Processing with Heterogeneous Annotations. | Weiwei Sun, Xiaojun Wan |
| 2012 | CIKM | Visualizing timelines: evolutionary summarization via iterative reinforcement between text and image streams. | Rui Yan, Xiaojun Wan, Mirella Lapata, Wayne Xin Zhao, Pu-Jen Cheng, Xiaoming Li |
| 2012 | COLING | Update Summarization Based on Co-Ranking with Constraints. | Xiaojun Wan |
| 2012 | ICDM | Cross-Language Opinion Target Extraction in Review Texts. | Xinjie Zhou, Xiaojun Wan, Jianguo Xiao |
| 2012 | PAKDD | Hierarchical Graph Summarization: Leveraging Hybrid Information through Visible and Invisible Linkage. | Rui Yan, Zi Yuan, Xiaojun Wan, Yan Zhang, Xiaoming Li |
| 2012 | WWW | S2ORM: exploiting syntactic and semantic information for opinion retrieval. | Liqiang Guo, Xiaojun Wan |
| 2012 | WISE | Learning to Find Comparable Entities on the Web. | Xiaojiang Huang, Xiaojun Wan, Jianguo Xiao |
| 2012 | WISE | BiCWS: Mining Cognitive Differences from Bilingual Web Search Results. | Xiaojiang Huang, Xiaojun Wan, Jianguo Xiao |
| 2011 | ACL | Comparative News Summarization Using Linear Programming. | Xiaojiang Huang, Xiaojun Wan, Jianguo Xiao |
| 2011 | ACL | Using Bilingual Information for Cross-Language Document Summarization. | Xiaojun Wan |
| 2011 | EMNLP | Timeline Generation through Evolutionary Trans-Temporal Summarization. | Rui Yan, Liang Kong, Congrui Huang, Xiaojun Wan, Xiaoming Li, Yan Zhang |
| 2011 | IJCNLP | Named Entity Recognition in Chinese News Comments on the Web. | Xiaojun Wan, Liang Zong, Xiaojiang Huang, Tengfei Ma, Houping Jia, Yuqian Wu, Jianguo Xiao |
| 2011 | PAKDD | Collaborative Data Cleaning for Sentiment Classification with Noisy Training Corpus. | Xiaojun Wan |
| 2011 | SIGIR | Summarizing the differences in multilingual news. | Xiaojun Wan, Houping Jia, Shanshan Huang, Jianguo Xiao |
| 2011 | SIGIR | Evolutionary timeline summarization: a balanced optimization framework via iterative substitution. | Rui Yan, Xiaojun Wan, Jahna Otterbacher, Liang Kong, Xiaoming Li, Yan Zhang |
| 2010 | ACL | Cross-Language Document Summarization Based on Machine Translation Quality Prediction. | Xiaojun Wan, Huiying Li, Jianguo Xiao |
| 2010 | APWEB | Named Entity Resolution in Chinese News Comments on the Web. | Liang Zong, Xiaojun Wan, Lihong Zhao, Jianwu Yang, Yuqian Wu |
| 2010 | COLING | Opinion Target Extraction in Chinese News Comments. | Tengfei Ma, Xiaojun Wan |
| 2010 | COLING | Towards a Unified Approach to Simultaneous Single-Document and Multi-Document Summarizations. | Xiaojun Wan |
| 2010 | ICDM | Multi-document Summarization Using Minimum Distortion. | Tengfei Ma, Xiaojun Wan |
| 2010 | WWW | A practical system for harvesting and monitoring hot topics on the web. | Xiaojun Wan, Jianwu Yang |
| 2010 | SIGIR | EUSUM: extracting easy-to-understand english summaries for non-native readers. | Xiaojun Wan, Huiying Li, Jianguo Xiao |
| 2009 | ACL | Co-Training for Cross-Lingual Sentiment Classification. | Xiaojun Wan |
| 2009 | CIKM | Topic analysis for topic-focused multi-document summarization. | Xiaojun Wan |
| 2009 | ECIR | Combining Content and Context Similarities for Image Retrieval. | Xiaojun Wan |
| 2009 | IJCAI | Graph-Based Multi-Modality Learning for Topic-Focused Multi-Document Summarization. | Xiaojun Wan, Jianguo Xiao |
| 2009 | PAKDD | Towards a Novel Association Measure via Web Search Results Mining. | Xiaojun Wan, Jianguo Xiao |
| 2008 | AAAI | Single Document Keyphrase Extraction Using Neighborhood Knowledge. | Xiaojun Wan, Jianguo Xiao |
| 2008 | COLING | CollabRank: Towards a Collaborative Approach to Single-Document Keyphrase Extraction. | Xiaojun Wan, Jianguo Xiao |
| 2008 | EMNLP | Using Bilingual Knowledge and Ensemble Techniques for Unsupervised Chinese Sentiment Analysis. | Xiaojun Wan |
| 2008 | EMNLP | An Exploration of Document Impact on Graph-Based Multi-Document Summarization. | Xiaojun Wan |
| 2008 | PRICAI | Learning to Identify Comparative Sentences in Chinese Text. | Xiaojiang Huang, Xiaojun Wan, Jianwu Yang, Jianguo Xiao |
| 2008 | PRICAI | Document-Based HITS Model for Multi-document Summarization. | Xiaojun Wan |
| 2008 | WWW | Cm-pmi: improved web-based association measure with contextual label matching. | Xiaojun Wan |
| 2008 | SIGIR | Multi-document summarization using cluster-based link analysis. | Xiaojun Wan, Jianwu Yang |
| 2007 | AAAI | Single Document Summarization with Document Expansion. | Xiaojun Wan, Jianwu Yang |
| 2007 | ACL | Towards an Iterative Reinforcement Approach for Simultaneous Document Summarization and Keyword Extraction. | Xiaojun Wan, Jianwu Yang, Jianguo Xiao |
| 2007 | IJCAI | Manifold-Ranking Based Topic-Focused Multi-Document Summarization. | Xiaojun Wan, Jianwu Yang, Jianguo Xiao |
| 2007 | WWW | Learning information diffusion process on the web. | Xiaojun Wan, Jianwu Yang |
| 2007 | SIGIR | OMES: a new evaluation strategy using optimal matching for document clustering. | Xiaojun Wan |
| 2007 | SIGIR | TimedTextRank: adding the temporal dimension to multi-document summarization. | Xiaojun Wan |
| 2007 | SIGIR | CollabSum: exploiting multiple document clustering for collaborative single document summarizations. | Xiaojun Wan, Jianwu Yang |
| 2006 | APWEB | WordRank-Based Lexical Signatures for Finding Lost or Related Web Pages. | Xiaojun Wan, Jianwu Yang |
| 2006 | ECIR | Using Proportional Transportation Distances for Measuring Document Similarity. | Xiaojun Wan, Jianwu Yang |
| 2006 | NAACL | Improved Affinity Graph Based Multi-Document Summarization. | Xiaojun Wan, Jianwu Yang |
| 2006 | WWW | Using proportional transportation similarity with learned element semantics for XML document clustering. | Xiaojun Wan, Jianwu Yang |
| 2006 | WISE | Block-Based Similarity Search on the Web Using Manifold-Ranking. | Xiaojun Wan, Jianwu Yang, Jianguo Xiao |
| 2005 | CIKM | Person resolution in person search results: WebHawk. | Xiaojun Wan, Jianfeng Gao, Mu Li, Binggong Ding |
| 2005 | CIKM | The earth mover's distance as a semantic measure for document similarity. | Xiaojun Wan, Yuxin Peng |
| 2005 | WISE | Extract Salient Words with WordRank for Effective Similarity Search in Text Data. | Xiaojun Wan, Jianwu Yang |