| 2026 | AAAI | Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning. | Shuzheng Si, Haozhe Zhao, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Bofei Gao, Kangyang Luo, Wenhao Li, Yufei Huang, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun |
| 2026 | ACL | FaithLens: Detecting and Explaining Faithfulness Hallucination. | Shuzheng Si, Qingyi Wang, Haozhe Zhao, Yuzhuo Bai, Guanqiao Chen, Kangyang Luo, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun |
| 2026 | ACL | A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Task. | Shuzheng Si, Haozhe Zhao, Kangyang Luo, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun |
| 2025 | ACL | Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints. | Kaikai An, Shuzheng Si, Helan Hu, Haozhe Zhao, Yuchi Wang, Qingyan Guo, Baobao Chang |
| 2025 | ACL | LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. | Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Dayiheng Liu, Chang Zhou, Wen Xiao, Tianyu Liu, Baobao Chang |
| 2025 | ACL | Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning. | Bofei Gao, Yejie Wang, Yibo Miao, Ruoyu Wu, Feifan Song, Longhui Yu, Tianyu Liu, Baobao Chang |
| 2025 | ACL | Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering. | Shuzheng Si, Haozhe Zhao, Gang Chen, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Kaikai An, Kangyang Luo, Chen Qian, Fanchao Qi, Baobao Chang, Maosong Sun |
| 2025 | CIKM | CCAgent: Coordinating Collaborative Data Scaling for Operating System Agents via Web3. | Liang Chen, Haozhe Zhao, Yinzhen Huang, Yang Luo, Tsekai Lin, Weichu Xie, Ruoyu Wu, Peiyi Wang, Runxin Xu, Ming Wu, Baobao Chang |
| 2025 | EMNLP | UltraIF: Advancing Instruction Following from the Wild. | Kaikai An, Li Sheng, Ganqu Cui, Shuzheng Si, Ning Ding, Yu Cheng, Baobao Chang |
| 2025 | EMNLP | Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation. | Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Shuzheng Si, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Baobao Chang |
| 2025 | EMNLP | GATEAU: Selecting Influential Samples for Long Context Alignment. | Shuzheng Si, Haozhe Zhao, Gang Chen, Yunshui Li, Kangyang Luo, Chuancheng Lv, Kaikai An, Fanchao Qi, Baobao Chang, Maosong Sun |
| 2025 | EMNLP | Looking Beyond Text: Reducing Language Bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance. | Haozhe Zhao, Shuzheng Si, Liang Chen, Yichi Zhang, Maosong Sun, Baobao Chang, Minjia Zhang |
| 2025 | ICCV | Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control is Easier than You Think. | Liang Chen, Shuai Bai, Wenhao Chai, Weichu Xie, Haozhe Zhao, Leon Vinci, Junyang Lin, Baobao Chang |
| 2025 | ICLR | A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation. | Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang |
| 2025 | ICLR | Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models. | Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang |
| 2025 | NAACL | MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. | Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang |
| 2024 | ACL | Improving Event Definition Following For Zero-Shot Event Detection. | Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng |
| 2024 | ACL | PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. | Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang |
| 2024 | ACL | Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning. | Shuzheng Si, Helan Hu, Haozhe Zhao, Shuang Zeng, Kaikai An, Zefan Cai, Baobao Chang |
| 2024 | ECCV | An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. | Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang |
| 2024 | EMNLP | A Survey on In-context Learning. | Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, Lei Li, Zhifang Sui |
| 2024 | ICLR | MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning. | Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang |
| 2024 | NAACL | DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade. | Zefan Cai, Xin Zheng, Tianyu Liu, Haoran Meng, Jiaqi Han, Gang Yuan, Binghuai Lin, Baobao Chang, Yunbo Cao |
| 2024 | NAACL | Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation. | Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Yufeng He, Kaikai An, Baobao Chang |
| 2023 | AAAI | Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling. | Ce Zheng, Yiming Wang, Baobao Chang |
| 2023 | ACL | On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation. | Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang |
| 2023 | ACL | SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition. | Shuzheng Si, Zefan Cai, Shuang Zeng, Guoqiang Feng, Jiaxing Lin, Baobao Chang |
| 2023 | EMNLP | Coarse-to-Fine Dual Encoders are Better Frame Identification Learners. | Kaikai An, Ce Zheng, Bofei Gao, Haozhe Zhao, Baobao Chang |
| 2023 | EMNLP | Guiding AMR Parsing with Reverse Graph Linearization. | Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang |
| 2023 | EMNLP | Can We Edit Factual Knowledge by In-Context Learning? | Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu, Jingjing Xu, Baobao Chang |
| 2023 | ICASSP | TABLEIE: Capturing the Interactions Among Sub-Tasks in Information Extraction via Double Tables. | Jiaxing Lin, Runxin Xu, Baobao Chang |
| 2022 | AAAI | From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. | Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang |
| 2022 | ACL | Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation. | Liang Chen, Runxin Xu, Baobao Chang |
| 2022 | ACL | StableMoE: Stable Routing Strategy for Mixture of Experts. | Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei |
| 2022 | ACL | Knowledge Neurons in Pretrained Transformers. | Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Baobao Chang, Furu Wei |
| 2022 | ACL | Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues. | Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Zhongyu Wei, Weidong Zhan, Baobao Chang, Sujian Li, Tianyu Liu, Zhifang Sui |
| 2022 | ACL | Hierarchical Curriculum Learning for AMR Parsing. | Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, Zhifang Sui |
| 2022 | ACL | S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method. | Runxin Xu, Fuli Luo, Baobao Chang, Songfang Huang, Fei Huang |
| 2022 | ACL | CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. | Ningyu Zhang, Mosha Chen, Zhen Bi, Xiaozhuan Liang, Lei Li, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Buzhou Tang, Qingcai Chen |
| 2022 | COLING | DISK: Domain-constrained Instance Sketch for Math Word Problem Generation. | Tianyang Cao, Shuang Zeng, Xiaodan Xu, Mairgup Mansur, Baobao Chang |
| 2022 | COLING | SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER. | Shuzheng Si, Shuang Zeng, Jiaxing Lin, Baobao Chang |
| 2022 | IJCAI | Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. | Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui |
| 2022 | KSEM | CLINER: Clinical Interrogation Named Entity Recognition. | Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang, Zhifang Sui, Ruihui Zhao, Yefeng Zheng, Bang Liu |
| 2022 | NAACL | ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. | Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang |
| 2022 | NAACL | Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting. | Shuzheng Si, Shuang Zeng, Baobao Chang |
| 2022 | NAACL | An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. | Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui |
| 2022 | NAACL | A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. | Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui |
| 2022 | NAACL | A Double-Graph Based Framework for Frame Semantic Parsing. | Ce Zheng, Xudong Chen, Runxin Xu, Baobao Chang |
| 2021 | AAAI | Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. | Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui |
| 2021 | ACL | Joint Multi-Decoder Framework with Hierarchical Pointer Network for Frame Semantic Parsing. | Xudong Chen, Ce Zheng, Baobao Chang |
| 2021 | ACL | Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker. | Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang |
| 2021 | ACL | SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction. | Shuang Zeng, Yuting Wu, Baobao Chang |
| 2021 | CIKM | Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. | Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui |
| 2021 | EMNLP | Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. | Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang |
| 2021 | ICANN | Generating Math Word Problems from Equations with Topic Consistency Maintaining and Commonsense Enforcement. | Tianyang Cao, Shuang Zeng, Songge Zhao, Mairgup Mansur, Baobao Chang |
| 2021 | NAACL | Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation. | Hua Zheng, Damai Dai, Lei Li, Tianyu Liu, Zhifang Sui, Baobao Chang, Yang Liu |
| 2020 | AAAI | Interactive Neural Network: Leveraging Part-of-Speech Window for Aspect Term Extraction (Student Abstract). | Da Yin, Xiuyu Wu, Baobao Chang |
| 2020 | CIKM | Soap: Soaking Capacity Optimization for Multi-Document Summarization. | Kexiang Wang, Baobao Chang, Zhifang Sui |
| 2020 | COLING | An Anchor-Based Automatic Evaluation Metric for Document Summarization. | Kexiang Wang, Tianyu Liu, Baobao Chang, Zhifang Sui |
| 2020 | CoNLL | An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. | Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui |
| 2020 | EMNLP | Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. | Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel |
| 2020 | EMNLP | A Spectral Method for Unsupervised Multi-Document Summarization. | Kexiang Wang, Baobao Chang, Zhifang Sui |
| 2020 | EMNLP | Double Graph Based Reasoning for Document-level Relation Extraction. | Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li |
| 2020 | LREC | HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. | Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui |
| 2019 | AAAI | Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables. | Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui |
| 2019 | ACL | Towards Comprehensive Description Generation from Factual Attribute-value Tables. | Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui |
| 2019 | ACL | Learning to Control the Fine-grained Sentiment for Story Ending Generation. | Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, Xu Sun |
| 2019 | ACL | Towards Fine-grained Text Sentiment Transfer. | Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui, Xu Sun |
| 2019 | EMNLP | Pun-GAN: Generative Adversarial Network for Pun Generation. | Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun |
| 2019 | IJCAI | A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. | Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui |
| 2018 | AAAI | Table-to-Text Generation by Structure-Aware Seq2seq Learning. | Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui |
| 2018 | AAAI | Order-Planning Neural Text Generation From Structured Data. | Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui |
| 2018 | AAAI | Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction. | Lei Sha, Feng Qian, Baobao Chang, Zhifang Sui |
| 2018 | AAAI | A Multi-View Fusion Neural Network for Answer Selection. | Lei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, Zhifang Sui |
| 2018 | ACL | Incorporating Glosses into Neural Word Sense Disambiguation. | Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang, Zhifang Sui |
| 2018 | EMNLP | Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition. | Tao Ge, Qing Dou, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou |
| 2018 | EMNLP | Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention. | Fuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui, Baobao Chang |
| 2018 | EMNLP | Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data. | Wenhui Wang, Baobao Chang, Mairgup Mansur |
| 2018 | LREC | EventWiki: A Knowledge Base of Major Events. | Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou |
| 2017 | ACL | Gated Self-Matching Networks for Reading Comprehension and Question Answering. | Wenhui Wang, Nan Yang, Furu Wei, Baobao Chang, Ming Zhou |
| 2017 | ACL | A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data. | Qiaolin Xia, Lei Sha, Baobao Chang, Zhifang Sui |
| 2017 | EMNLP | A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction. | Tianyu Liu, Kexiang Wang, Baobao Chang, Zhifang Sui |
| 2017 | EMNLP | Syntax Aware LSTM model for Semantic Role Labeling. | Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang |
| 2017 | EMNLP | Affinity-Preserving Random Walk for Multi-Document Summarization. | Kexiang Wang, Tianyu Liu, Zhifang Sui, Baobao Chang |
| 2016 | ACL | RBPB: Regularization-Based Pattern Balancing Method for Event Extraction. | Lei Sha, Jing Liu, Chin-Yew Lin, Sujian Li, Baobao Chang, Zhifang Sui |
| 2016 | ACL | Graph-based Dependency Parsing with Bidirectional LSTM. | Wenhui Wang, Baobao Chang |
| 2016 | COLING | Event Detection with Burst Information Networks. | Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Ming Zhou |
| 2016 | COLING | Towards Time-Aware Knowledge Graph Completion. | Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui |
| 2016 | COLING | Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition. | Lei Sha, Baobao Chang, Zhifang Sui, Sujian Li |
| 2016 | EMNLP | News Stream Summarization using Burst Information Networks. | Tao Ge, Lei Cui, Baobao Chang, Sujian Li, Ming Zhou, Zhifang Sui |
| 2016 | EMNLP | Encoding Temporal Information for Time-Aware Link Prediction. | Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui |
| 2016 | EMNLP | Discourse Parsing with Attention-based Hierarchical Neural Networks. | Qi Li, Tianshi Li, Baobao Chang |
| 2016 | EMNLP | Capturing Argument Relationship for Chinese Semantic Role Labeling. | Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang |
| 2016 | NAACL | Joint Learning Templates and Slots for Event Schema Induction. | Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui |
| 2015 | ACL | One Tense per Scene: Predicting Tense in Chinese Conversations. | Tao Ge, Heng Ji, Baobao Chang, Zhifang Sui |
| 2015 | ACL | Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles. | Tao Ge, Wenzhe Pei, Heng Ji, Sujian Li, Baobao Chang, Zhifang Sui |
| 2015 | ACL | An Effective Neural Network Model for Graph-based Dependency Parsing. | Wenzhe Pei, Tao Ge, Baobao Chang |
| 2015 | APWEB | Distinguishing Specific and Daily Topics. | Tao Ge, Wenzhe Pei, Baobao Chang, Zhifang Sui |
| 2015 | EMNLP | Multi-label Text Categorization with Joint Learning Predictions-as-Features Method. | Li Li, Houfeng Wang, Xu Sun, Baobao Chang, Shi Zhao, Lei Sha |
| 2015 | EMNLP | Recognizing Textual Entailment Using Probabilistic Inference. | Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang |
| 2015 | EMNLP | Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks. | Zhen Wang, Tingsong Jiang, Baobao Chang, Zhifang Sui |
| 2015 | EMNLP | ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation. | Chuncheng Xiang, Tingsong Jiang, Baobao Chang, Zhifang Sui |
| 2015 | IJCAI | An Ontology Matching Approach Based on Affinity-Preserving Random Walks. | Chuncheng Xiang, Baobao Chang, Zhifang Sui |
| 2014 | ACL | Max-Margin Tensor Neural Network for Chinese Word Segmentation. | Wenzhe Pei, Tao Ge, Baobao Chang |
| 2014 | COLING | Inducing Word Sense with Automatically Learned Hidden Concepts. | Baobao Chang, Wenzhe Pei, Miaohong Chen |
| 2014 | EMNLP | A Joint Model for Unsupervised Chinese Word Segmentation. | Miaohong Chen, Baobao Chang, Wenzhe Pei |
| 2013 | CIKM | Exploiting collaborative filtering techniques for automatic assessment of student free-text responses. | Tao Ge, Zhifang Sui, Baobao Chang |
| 2013 | EMNLP | Event-Based Time Label Propagation for Automatic Dating of News Articles. | Tao Ge, Baobao Chang, Sujian Li, Zhifang Sui |
| 2013 | IJCNLP | Feature-based Neural Language Model and Chinese Word Segmentation. | Mairgup Mansur, Wenzhe Pei, Baobao Chang |
| 2013 | SIGIR | A novel topic model for automatic term extraction. | Sujian Li, Jiwei Li, Tao Song, Wenjie Li, Baobao Chang |
| 2012 | COLING | Update Summarization using a Multi-level Hierarchical Dirichlet Process Model. | Jiwei Li, Sujian Li, Xun Wang, Ye Tian, Baobao Chang |
| 2010 | EMNLP | Enhancing Domain Portability of Chinese Segmentation Model Using Chi-Square Statistics and Bootstrapping. | Baobao Chang, Dongxu Han |
| 2008 | EMNLP | Improving Chinese Semantic Role Classification with Hierarchical Feature Selection Strategy. | Weiwei Ding, Baobao Chang |
| 2005 | IJCNLP | Extracting Terminologically Relevant Collocations in the Translation of Chinese Monograph. | Byeong Kwu Kang, Baobao Chang, Yi-Rong Chen, Shiwen Yu |
| 2004 | PACLIC | Chinese-English Parallel Corpus Construction and its Application. | Baobao Chang |