| 2026 | AAAI | From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling. | Zhengyu Chen, Yudong Wang, Teng Xiao, Ruochen Zhou, Xuesheng Yang, Wei Wang, Zhifang Sui, Jingang Wang |
| 2026 | AAAI | Large Language Models Struggle with Unreasonability in Math Problems. | Jingyuan Ma, Damai Dai, Zihang Yuan, Rui Li, Weilin Luo, Bin Wang, Qun Liu, Lei Sha, Zhifang Sui |
| 2026 | AAAI | RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection. | Yixin Yang, Qingxiu Dong, Linli Yao, Fangwei Zhu, Weilin Luo, Bin Wang, Zhifang Sui |
| 2026 | ACL | HistLens: Mapping Idea Change across Concepts and Corpora. | Yi Jing, Weiyun Qiu, Yihang Peng, Zhifang Sui |
| 2026 | ACL | SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning. | Zheng Li, Qingxiu Dong, Jingyuan Ma, Di Zhang, Kai Jia, Zhifang Sui |
| 2026 | ACL | SenseJudge: Human-Centric Preference-Driven Judgment Framework. | Rui Li, Junfeng Liu, Xiangwen Kong, Zhifang Sui |
| 2026 | ACL | HAUNTATTACK: When Attack Follows Reasoning as a Shadow. | Jingyuan Ma, Rui Li, Zheng Li, Junfeng Liu, Heming Xia, Lei Sha, Zhifang Sui |
| 2026 | ACL | Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts. | Di Zhang, Xun Wu, Shaohan Huang, Lingjie Jiang, Yaru Hao, Li Dong, Zewen Chi, Zhifang Sui, Furu Wei |
| 2025 | AAAI | Exploring Activation Patterns of Parameters in Language Models. | Yudong Wang, Damai Dai, Zhe Yang, Jingyuan Ma, Zhifang Sui |
| 2025 | ACL | Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs. | Zhe Yang, Yichang Zhang, Yudong Wang, Ziyao Xu, Junyang Lin, Zhifang Sui |
| 2025 | ACL | How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation. | Rui Li, Heming Xia, Xinfeng Yuan, Qingxiu Dong, Lei Sha, Wenjie Li, Zhifang Sui |
| 2025 | ACL | Towards Harmonized Uncertainty Estimation for Large Language Models. | Rui Li, Jing Long, Muge Qi, Heming Xia, Lei Sha, Peiyi Wang, Zhifang Sui |
| 2025 | COLING | Language Models Encode the Value of Numbers Linearly. | Fangwei Zhu, Damai Dai, Zhifang Sui |
| 2025 | CVPR | AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization. | Yiyang Du, Xiaochen Wang, Chi Chen, Jiabo Ye, Yiru Wang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Zhifang Sui, Maosong Sun, Yang Liu |
| 2025 | EMNLP | Beyond Single Frames: Can LMMs Comprehend Implicit Narratives in Comic Strip? | Xiaochen Wang, Heming Xia, Jialin Song, Longyu Guan, Qingxiu Dong, Rui Li, Yixin Yang, Yifan Pu, Weiyao Luo, Yiru Wang, Xiangdi Meng, Wenjie Li, Zhifang Sui |
| 2025 | EMNLP | A Probabilistic Inference Scaling Theory for LLM Self-Correction. | Zhe Yang, Yichang Zhang, Yudong Wang, Ziyao Xu, Junyang Lin, Zhifang Sui |
| 2025 | ICLR | Self-Boosting Large Language Models with Synthetic Preference Data. | Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei |
| 2025 | NAACL | SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine. | Xiaochen Wang, Junqing He, Liang Chen, Gholamreza Haffari, Yiru Wang, Zhe Yang, Xiangdi Meng, Kunhao Pan, Zhifang Sui |
| 2024 | ACL | DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models. | Damai Dai, Chengqi Deng, Chenggang Zhao, R. X. Xu, Huazuo Gao, Deli Chen, Jiashi Li, Wangding Zeng, Xingkai Yu, Y. Wu, Zhenda Xie, Y. K. Li, Panpan Huang, Fuli Luo, Chong Ruan, Zhifang Sui, Wenfeng Liang |
| 2024 | ACL | Large Language Models are not Fair Evaluators. | Peiyi Wang, Lei Li, Liang Chen, Zefan Cai, Dawei Zhu, Binghuai Lin, Yunbo Cao, Lingpeng Kong, Qi Liu, Tianyu Liu, Zhifang Sui |
| 2024 | ACL | Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations. | Peiyi Wang, Lei Li, Zhihong Shao, Runxin Xu, Damai Dai, Yifei Li, Deli Chen, Yu Wu, Zhifang Sui |
| 2024 | ACL | Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation. | Yudong Wang, Chang Ma, Qingxiu Dong, Zhifang Sui, Lingpeng Kong, Jingjing Xu |
| 2024 | ACL | Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. | Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui |
| 2024 | ACL | Can Large Multimodal Models Uncover Deep Semantics Behind Images? | Yixin Yang, Zheng Li, Qingxiu Dong, Heming Xia, Zhifang Sui |
| 2024 | COLING | FaGANet: An Evidence-Based Fact-Checking Model with Integrated Encoder Leveraging Contextual Information. | Weiyao Luo, Junfeng Ran, Zailong Tian, Sujian Li, Zhifang Sui |
| 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 | EMNLP | Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming. | Rui Li, Peiyi Wang, Jingyuan Ma, Di Zhang, Lei Sha, Zhifang Sui |
| 2024 | EMNLP | Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens. | Weiyao Luo, Suncong Zheng, Heming Xia, Weikang Wang, Yan Lei, Tianyu Liu, Shuang Chen, Zhifang Sui |
| 2024 | EMNLP | Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? | Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui |
| 2024 | EMNLP | ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. | Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang |
| 2023 | ACL | Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. | Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Shuming Ma, Zhifang Sui, Furu Wei |
| 2023 | ACL | Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion. | Shaoxiang Wu, Damai Dai, Ziwei Qin, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui |
| 2023 | ACL | Enhancing Continual Relation Extraction via Classifier Decomposition. | Heming Xia, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui |
| 2023 | ACL | Learn to Not Link: Exploring NIL Prediction in Entity Linking. | Fangwei Zhu, Jifan Yu, Hailong Jin, Lei Hou, Juanzi Li, Zhifang Sui |
| 2023 | EMNLP | Guiding AMR Parsing with Reverse Graph Linearization. | Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang |
| 2023 | EMNLP | InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective. | Yifan Song, Peiyi Wang, Weimin Xiong, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li |
| 2023 | EMNLP | Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization. | Shoujie Tong, Heming Xia, Damai Dai, Runxin Xu, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui |
| 2023 | EMNLP | Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation. | Heming Xia, Tao Ge, Peiyi Wang, Si-Qing Chen, Furu Wei, Zhifang Sui |
| 2023 | EMNLP | ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. | Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Tianyu Liu, Ziwei Qin, Zhifang Sui |
| 2023 | EMNLP | Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning. | Zhe Yang, Damai Dai, Peiyi Wang, Zhifang Sui |
| 2023 | EMNLP | DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog. | Xin Zheng, Tianyu Liu, Haoran Meng, Xu Wang, Yufan Jiang, Meng-Liang Rao, Binghuai Lin, Yunbo Cao, Zhifang Sui |
| 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 | A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation. | Tianyu Liu, Yizhe Zhang, Chris Brockett, Yi Mao, Zhifang Sui, Weizhu Chen, Bill Dolan |
| 2022 | ACL | Hierarchical Curriculum Learning for AMR Parsing. | Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, Zhifang Sui |
| 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 | EMNLP | Calibrating Factual Knowledge in Pretrained Language Models. | Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li |
| 2022 | EMNLP | DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection. | Haoran Meng, Zheng Xin, Tianyu Liu, Zizhen Wang, He Feng, Binghuai Lin, Xuemin Zhao, Yunbo Cao, Zhifang Sui |
| 2022 | EMNLP | Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation. | Peiyi Wang, Yifan Song, Tianyu Liu, Binghuai Lin, Yunbo Cao, Sujian Li, Zhifang Sui |
| 2022 | EMNLP | HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. | Zihan Wang, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui, Houfeng Wang |
| 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 | 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 |
| 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 | 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 | 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 | 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 | LREC | HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. | Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui |
| 2019 | AAAI | WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks. | Zijian Hu, Fuli Luo, Yutong Tan, Wenxin Zeng, 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 | CIKM | Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning. | Qiaolin Xia, Peng Jiang, Fei Sun, Yi Zhang, Xiaobo Wang, 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 | LREC | EventWiki: A Knowledge Base of Major Events. | Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou |
| 2018 | LREC | Revisiting Distant Supervision for Relation Extraction. | Tingsong Jiang, Jing Liu, Chin-Yew Lin, Zhifang Sui |
| 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 | Affinity-Preserving Random Walk for Multi-Document Summarization. | Kexiang Wang, Tianyu Liu, Zhifang Sui, Baobao Chang |
| 2016 | AAAI | Implicit Discourse Relation Classification via Multi-Task Neural Networks. | Yang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui |
| 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 | 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 | 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 | APWEB | Distinguishing Specific and Daily Topics. | Tao Ge, Wenzhe Pei, Baobao Chang, Zhifang Sui |
| 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 | WWW | A semi-supervised method for opinion target extraction. | Tao Ge, Wenjie Li, Zhifang Sui |
| 2013 | ACL | Towards Accurate Distant Supervision for Relational Facts Extraction. | Xingxing Zhang, Jianwen Zhang, Junyu Zeng, Jun Yan, Zheng Chen, Zhifang Sui |
| 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 |
| 2012 | COLING | Fine-Grained Classification of Named Entities by Fusing Multi-Features. | Wenjie Li, Jiwei Li, Ye Tian, Zhifang Sui |
| 2009 | ACL | Prediction of Thematic Rank for Structured Semantic Role Labeling. | Weiwei Sun, Zhifang Sui, Meng Wang |
| 2009 | EMNLP | Chinese Semantic Role Labeling with Shallow Parsing. | Weiwei Sun, Zhifang Sui, Meng Wang, Xin Wang |
| 2009 | PACLIC | Chinese Function Tag Labeling. | Weiwei Sun, Zhifang Sui |
| 2008 | COLING | Prediction of Maximal Projection for Semantic Role Labeling. | Weiwei Sun, Zhifang Sui, Haifeng Wang |
| 2008 | CoNLL | The Integration of Dependency Relation Classification and Semantic Role Labeling Using Bilayer Maximum Entropy Markov Models. | Weiwei Sun, Hongzhan Li, Zhifang Sui |
| 2006 | LREC | A Study on Terminology Extraction Based on Classified Corpora. | Yi-Rong Chen, Qin Lu, Wenjie Li, Zhifang Sui, Luning Ji |
| 2005 | IJCNLP | Domain Knowledge Engineering Based on Encyclopedias and the Web Text. | Zhifang Sui, Gaoying Cui, Wansong Ding, Qinlong Zhang |
| 2000 | ACL | An Information-Theory-Based Feature Type Analysis for the Modeling of Statistical Parsing. | Zhifang Sui, Jun Zhao, Dekai Wu |
| 1999 | EMNLP | An Information-Theoretic Empirical Analysis of Dependency-Based Feature Types for Word Prediction Models. | Dekai Wu, Jun Zhao, Zhifang Sui |
| 1999 | Interspeech | An information-based method for selecting feature types for word prediction. | Dekai Wu, Zhifang Sui, Jun Zhao |