Discovering Domain Concepts and Hyponymy Relations by Text Relevance Classifying Based Iterative Web Searching. - Lili Mou; Ge Li 001; Zhi Jin 001; Yangyang Lu; Yiyang Hao (APSEC, 2012)

Domain Hyponymy Hierarchy Discovery by Iterative Web Searching and Inferable Semantics Based Concept Selecting. - Lili Mou; Ge Li 001; Zhi Jin 001 (COMPSAC, 2013)

MCT: a tool for commenting programs by multimedia comments. - Yiyang Hao; Ge Li 001; Lili Mou; Lu Zhang 023; Zhi Jin 001 (ICSE, 2013)

Verification Based on Hyponymy Hierarchical Characteristics for Web-Based Hyponymy Discovery. - Lili Mou; Ge Li 001; Zhi Jin 001; Lu Zhang 023 (KSEM, 2014)

TBCNN: A Tree-Based Convolutional Neural Network for Programming Language Processing. - Lili Mou; Ge Li 001; Zhi Jin 001; Lu Zhang 023; Tao Wang 080 (CoRR, 2014)

Building Program Vector Representations for Deep Learning. - Lili Mou; Ge Li 001; Yuxuan Liu 004; Hao Peng 017; Zhi Jin 001; Yan Xu 013; Lu Zhang 023 (CoRR, 2014)

Learning Non-Taxonomic Relations on Demand for Ontology Extension. - Yan Xu 013; Ge Li 001; Lili Mou; Yangyang Lu (Int. J. Softw. Eng. Knowl. Eng., 2014)

Discriminative Neural Sentence Modeling by Tree-Based Convolution. - Lili Mou; Hao Peng 017; Ge Li 001; Yan Xu 013; Lu Zhang 023; Zhi Jin 001 (EMNLP, 2015)

A Comparative Study on Regularization Strategies for Embedding-based Neural Networks. - Hao Peng 017; Lili Mou; Ge Li 001; Yunchuan Chen; Yangyang Lu; Zhi Jin 001 (EMNLP, 2015)

Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths. - Yan Xu 013; Lili Mou; Ge Li 001; Yunchuan Chen; Hao Peng 017; Zhi Jin 001 (EMNLP, 2015)

Building Program Vector Representations for Deep Learning. - Hao Peng 017; Lili Mou; Ge Li 001; Yuxuan Liu 004; Lu Zhang 023; Zhi Jin 001 (KSEM, 2015)

Distilling Word Embeddings: An Encoding Approach. - Lili Mou; Ge Li 001; Yan Xu 013; Lu Zhang 023; Zhi Jin 001 (CoRR, 2015)

Recognizing Entailment and Contradiction by Tree-based Convolution. - Lili Mou; Rui Men; Ge Li 001; Yan Xu 013; Lu Zhang 023; Rui Yan 001; Zhi Jin 001 (CoRR, 2015)

On End-to-End Program Generation from User Intention by Deep Neural Networks. - Lili Mou; Rui Men; Ge Li 001; Lu Zhang 023; Zhi Jin 001 (CoRR, 2015)

Tree-based Convolution: A New Neural Architecture for Sentence Modeling. - Lili Mou; Hao Peng 017; Ge Li 001; Yan Xu 013; Lu Zhang 023; Zhi Jin 001 (CoRR, 2015)

Backbone Language Modeling for Constrained Natural Language Generation. - Lili Mou; Rui Yan 001; Ge Li 001; Lu Zhang 023; Zhi Jin 001 (CoRR, 2015)

Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path. - Yan Xu 013; Lili Mou; Ge Li 001; Yunchuan Chen; Hao Peng 017; Zhi Jin 001 (CoRR, 2015)

Convolutional Neural Networks over Tree Structures for Programming Language Processing. - Lili Mou; Ge Li 001; Lu Zhang 023; Tao Wang 080; Zhi Jin 001 (AAAI, 2016)

Compressing Neural Language Models by Sparse Word Representations. - Yunchuan Chen; Lili Mou; Yan Xu 013; Ge Li 001; Zhi Jin 001 (ACL (1), 2016)

Natural Language Inference by Tree-Based Convolution and Heuristic Matching. - Lili Mou; Rui Men; Ge Li 001; Yan Xu 013; Lu Zhang 023; Rui Yan 001; Zhi Jin 001 (ACL (2), 2016)

Distilling Word Embeddings: An Encoding Approach. - Lili Mou; Ran Jia; Yan Xu 013; Ge Li 001; Lu Zhang 023; Zhi Jin 001 (CIKM, 2016)

Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation. - Lili Mou; Yiping Song; Rui Yan 001; Ge Li 001; Lu Zhang 023; Zhi Jin 001 (COLING, 2016)

Improved relation classification by deep recurrent neural networks with data augmentation. - Yan Xu 013; Ran Jia; Lili Mou; Ge Li 001; Yunchuan Chen; Yangyang Lu; Zhi Jin 001 (COLING, 2016)

How Transferable are Neural Networks in NLP Applications? - Lili Mou; Zhao Meng; Rui Yan 001; Ge Li 001; Yan Xu 013; Lu Zhang 023; Zhi Jin 001 (EMNLP, 2016)

StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation. - Xiang Li 065; Lili Mou; Rui Yan 001; Ming Zhang 004 (IJCAI, 2016)

Dialogue Session Segmentation by Embedding-Enhanced TextTiling. - Yiping Song; Lili Mou; Rui Yan 001; Li Yi; Zinan Zhu; Xiaohua Hu 001; Ming Zhang 004 (INTERSPEECH, 2016)

Context-Aware Tree-Based Convolutional Neural Networks for Natural Language Inference. - Zhao Meng; Lili Mou; Ge Li 001; Zhi Jin 001 (KSEM, 2016)

How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models. - Zhiliang Tian; Rui Yan 001; Lili Mou; Yiping Song; Yansong Feng 002; Dongyan Zhao 001 (ACL (2), 2017)

Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection. - Zhao Meng; Lili Mou; Zhi Jin (CIKM, 2017)

Coupling Distributed and Symbolic Execution for Natural Language Queries. - Lili Mou; Zhengdong Lu; Hang Li 001; Zhi Jin (ICLR (Workshop), 2017)

Order-Planning Neural Text Generation From Structured Data. - Lei Sha; Lili Mou; Tianyu Liu 001; Pascal Poupart; Sujian Li; Baobao Chang; Zhifang Sui (AAAI, 2018)

RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems. - Chongyang Tao; Lili Mou; Dongyan Zhao 001; Rui Yan 001 (AAAI, 2018)

Variational Attention for Sequence-to-Sequence Models. - Hareesh Bahuleyan; Lili Mou; Olga Vechtomova; Pascal Poupart (COLING, 2018)

Affective Neural Response Generation. - Nabiha Asghar; Pascal Poupart; Jesse Hoey; Xin Jiang 002; Lili Mou (ECIR, 2018)

Jumper: Learning When to Make Classification Decision in Reading. - Xianggen Liu; Lili Mou; Haotian Cui; Zhengdong Lu; Sen Song (IJCAI, 2018)

Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models. - Zhao Meng; Lili Mou; Zhi Jin (LREC, 2018)

Probabilistic Natural Language Generation with Wasserstein Autoencoders. - Hareesh Bahuleyan; Lili Mou; Kartik Vamaraju; Hao Zhou 012; Olga Vechtomova (CoRR, 2018)

JUMPER: Learning When to Make Classification Decisions in Reading. - Xianggen Liu; Lili Mou; Haotian Cui; Zhengdong Lu; Sen Song (CoRR, 2018)

Disentangled Representation Learning for Text Style Transfer. - Vineet John; Lili Mou; Hareesh Bahuleyan; Olga Vechtomova (CoRR, 2018)

Modeling Past and Future for Neural Machine Translation. - Zaixiang Zheng; Hao Zhou 012; Shujian Huang; Lili Mou; Xinyu Dai; Jiajun Chen 001; Zhaopeng Tu (Trans. Assoc. Comput. Linguistics, 2018)

Tree-Based Convolutional Neural Networks - Principles and Applications - Lili Mou; Zhi Jin (Springer, 2018)

CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. - Ning Miao; Hao Zhou 012; Lili Mou; Rui Yan; Lei Li 005 (AAAI, 2019)

A Grammar-Based Structural CNN Decoder for Code Generation. - Zeyu Sun 004; Qihao Zhu; Lili Mou; Yingfei Xiong 001; Ge Li 001; Lu Zhang 023 (AAAI, 2019)

Generating Sentences from Disentangled Syntactic and Semantic Spaces. - Yu Bao; Hao Zhou 012; Shujian Huang; Lei Li 005; Lili Mou; Olga Vechtomova; Xin-Yu Dai; Jiajun Chen 001 (ACL (1), 2019)

Disentangled Representation Learning for Non-Parallel Text Style Transfer. - Vineet John; Lili Mou; Hareesh Bahuleyan; Olga Vechtomova (ACL (1), 2019)

An Imitation Learning Approach to Unsupervised Parsing. - Bowen Li 002; Lili Mou; Frank Keller (ACL (1), 2019)

Discreteness in Neural Natural Language Processing. - Lili Mou; Hao Zhou 012; Lei Li 005 (EMNLP/IJCNLP (2), 2019)

Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer. - Yunli Wang; Yu Wu 012; Lili Mou; Zhoujun Li 001; Wenhan Chao (EMNLP/IJCNLP (1), 2019)

Why Do Neural Dialog Systems Generate Short and Meaningless Replies? a Comparison between Dialog and Translation. - Bolin Wei; Shuai Lu; Lili Mou; Hao Zhou 012; Pascal Poupart; Ge Li 001; Zhi Jin 001 (ICASSP, 2019)

Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation. - Hareesh Bahuleyan; Lili Mou; Hao Zhou 012; Olga Vechtomova (NAACL-HLT (1), 2019)

Distilling Task-Specific Knowledge from BERT into Simple Neural Networks. - Raphael Tang; Yao Lu; Linqing Liu; Lili Mou; Olga Vechtomova; Jimmy Lin (CoRR, 2019)

Conditional Response Generation Using Variational Alignment. - Kashif Khan; Gaurav Sahu; Vikash Balasubramanian; Lili Mou; Olga Vechtomova (CoRR, 2019)

Stylized Text Generation Using Wasserstein Autoencoders with a Mixture of Gaussian Prior. - Amirpasha Ghabussi; Lili Mou; Olga Vechtomova (CoRR, 2019)

TreeGen: A Tree-Based Transformer Architecture for Code Generation. - Zeyu Sun 004; Qihao Zhu; Yingfei Xiong 001; Yican Sun; Lili Mou; Lu Zhang 023 (AAAI, 2020)

Iterative Edit-Based Unsupervised Sentence Simplification. - Dhruv Kumar 005; Lili Mou; Lukasz Golab; Olga Vechtomova (ACL, 2020)

Unsupervised Paraphrasing by Simulated Annealing. - Xianggen Liu; Lili Mou; Fandong Meng; Hao Zhou 012; Jie Zhou 016; Sen Song (ACL, 2020)

Stylized Text Generation: Approaches and Applications. - Lili Mou; Olga Vechtomova (ACL (tutorial), 2020)

Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction. - Raphael Schumann; Lili Mou; Yao Lu; Olga Vechtomova; Katja Markert (ACL, 2020)

Adversarial Learning on the Latent Space for Diverse Dialog Generation. - Kashif Khan; Gaurav Sahu; Vikash Balasubramanian; Lili Mou; Olga Vechtomova (COLING, 2020)

Formality Style Transfer with Shared Latent Space. - Yunli Wang; Yu Wu 012; Lili Mou; Zhoujun Li 001; Wen-Han Chao (COLING, 2020)

Improving Word Sense Disambiguation with Translations. - Yixing Luan; Bradley Hauer; Lili Mou; Grzegorz Kondrak (EMNLP (1), 2020)

Progressive Memory Banks for Incremental Domain Adaptation. - Nabiha Asghar; Lili Mou; Kira A. Selby; Kevin D. Pantasdo; Pascal Poupart; Xin Jiang 002 (ICLR, 2020)

Unsupervised Text Generation by Learning from Search. - Jingjing Li 007; Zichao Li 001; Lili Mou; Xin Jiang 002; Michael R. Lyu; Irwin King (NeurIPS, 2020)

How Chaotic Are Recurrent Neural Networks? - Pourya Vakilipourtakalou; Lili Mou (CoRR, 2020)

Finding decision jumps in text classification. - Xianggen Liu; Lili Mou; Haotian Cui; Zhengdong Lu; Sen Song (Neurocomputing, 2020)

A Globally Normalized Neural Model for Semantic Parsing. - Chenyang Huang 001; Wei Yang 017; Yanshuai Cao; Osmar Zaïane; Lili Mou (SPNLP@ACL-IJCNLP, 2021)

Simulated Annealing for Emotional Dialogue Systems. - Chengzhang Dong; Chenyang Huang 001; Osmar Zaïane; Lili Mou (CIKM, 2021)

Unsupervised Chunking as Syntactic Structure Induction with a Knowledge-Transfer Approach. - Anup Anand Deshmukh; Qianqiu Zhang; Ming Li 001; Jimmy Lin; Lili Mou (EMNLP (Findings), 2021)

Seq2Emo: A Sequence to Multi-Label Emotion Classification Model. - Chenyang Huang 001; Amine Trabelsi; Xuebin Qin; Nawshad Farruque; Lili Mou; Osmar R. Zaïane (NAACL-HLT, 2021)

Semi-Supervised and Unsupervised Sense Annotation via Translations. - Bradley Hauer; Grzegorz Kondrak; Yixing Luan; Arnob Mallik; Lili Mou (RANLP, 2021)

Wasserstein Autoencoders with Mixture of Gaussian Priors for Stylized Text Generation. - Amirpasha Ghabussi; Lili Mou; Olga Vechtomova (TDS, 2021)

Dynamic Labeling for Unlabeled Graph Neural Networks. - Zeyu Sun 004; Wenjie Zhang 007; Lili Mou; Qihao Zhu; Yingfei Xiong 001; Lu Zhang 023 (CoRR, 2021)

Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic. - Zijun Wu 002; Atharva Naik; Zi Xuan Zhang; Lili Mou (CoRR, 2021)

Simulated annealing for optimization of graphs and sequences. - Xianggen Liu; Pengyong Li; Fandong Meng; Hao Zhou 012; Huasong Zhong; Jie Zhou 016; Lili Mou; Sen Song (Neurocomputing, 2021)

Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision. - Chenyang Huang 001; Hao Zhou 012; Osmar R. Zaïane; Lili Mou; Lei Li 005 (AAAI, 2022)

Generalized Equivariance and Preferential Labeling for GNN Node Classification. - Zeyu Sun 004; Wenjie Zhang 007; Lili Mou; Qihao Zhu; Yingfei Xiong 001; Lu Zhang 023 (AAAI, 2022)

Search and Learn: Improving Semantic Coverage for Data-to-Text Generation. - Shailza Jolly; Zi Xuan Zhang; Andreas Dengel 001; Lili Mou (AAAI, 2022)

Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization. - Puyuan Liu; Chenyang Huang 001; Lili Mou (ACL (1), 2022)

Controlling Perceived Emotion in Symbolic Music Generation with Monte Carlo Tree Search. - Lucas N. Ferreira; Lili Mou; Jim Whitehead; Levi H. S. Lelis (AIIDE, 2022)

An Empirical Study on the Overlapping Problem of Open-Domain Dialogue Datasets. - Yuqiao Wen; Guoqing Luo; Lili Mou (LREC, 2022)

Document-Level Relation Extraction with Sentences Importance Estimation and Focusing. - Wang Xu; Kehai Chen; Lili Mou; Tiejun Zhao (NAACL-HLT, 2022)

Teacher Forcing Recovers Reward Functions for Text Generation. - Yongchang Hao; Yuxin Liu; Lili Mou (NeurIPS, 2022)

A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization. - Puyuan Liu; Xiang Zhang; Lili Mou (NeurIPS, 2022)

MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. - Siguang Huang; Yunli Wang; Lili Mou; Huayue Zhang; Han Zhu 001; Chuan Yu; Bo Zheng 007 (WWW, 2022)

Search and Learning for Unsupervised Text Generation. - Lili Mou (AI Mag., 2022)

f-Divergence Minimization for Sequence-Level Knowledge Distillation. - Yuqiao Wen; Zichao Li 001; Wenyu Du; Lili Mou (ACL (1), 2023)

Prompt-Based Editing for Text Style Transfer. - Guoqing Luo; Yutong Han; Lili Mou; Mauajama Firdaus (EMNLP (Findings), 2023)

An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation. - Yuqiao Wen; Yongchang Hao; Yanshuai Cao; Lili Mou (ICLR, 2023)

Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic. - Zijun Wu 002; Zi Xuan Zhang; Atharva Naik; Zhijian Mei; Mauajama Firdaus; Lili Mou (ICLR, 2023)

Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation. - Chenyang Huang 001; Fei Huang 005; Zaixiang Zheng; Osmar Zaïane; Hao Zhou 012; Lili Mou (IJCNLP (Findings), 2023)

Unsupervised Chunking with Hierarchical RNN. - Zijun Wu 002; Anup Anand Deshmukh; Yongkang Wu; Jimmy Lin; Lili Mou (CoRR, 2023)

Weakly Supervised Reasoning by Neuro-Symbolic Approaches. - Xianggen Liu; Zhengdong Lu; Lili Mou (CoRR, 2023)

Weakly Supervised Reasoning by Neuro-Symbolic Approaches. - Xianggen Liu; Zhengdong Lu; Lili Mou (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing. - Behzad Shayegh; Yuqiao Wen; Lili Mou (ACL (1), 2024)

A Dual-View Approach to Classifying Radiology Reports by Co-Training. - Yutong Han; Yan Yuan; Lili Mou (LREC/COLING, 2024)

LLMR: Knowledge Distillation with a Large Language Model-Induced Reward. - Dongheng Li; Yongchang Hao; Lili Mou (LREC/COLING, 2024)

Claim-Centric and Sentiment Guided Graph Attention Network for Rumour Detection. - Sajad Ramezani; Mauajama Firdaus; Lili Mou (LREC/COLING, 2024)

A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers. - Chenyang Huang 001; Hao Zhou 012; Cameron Jen; Kangjie Zheng; Osmar R. Zaïane; Lili Mou (EMNLP (Findings), 2024)

Ensemble Distillation for Unsupervised Constituency Parsing. - Behzad Shayegh; Yanshuai Cao; Xiaodan Zhu 001; Jackie C. K. Cheung; Lili Mou (ICLR, 2024)

Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models. - Zijun Wu 002; Yongkang Wu; Lili Mou (ICLR, 2024)

Flora: Low-Rank Adapters Are Secretly Gradient Compressors. - Yongchang Hao; Yanshuai Cao; Lili Mou (ICML, 2024)

Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks. - Yongchang Hao; Yanshuai Cao; Lili Mou (CoRR, 2024)

Ensemble-Based Unsupervised Discontinuous Constituency Parsing by Tree Averaging. - Behzad Shayegh; Yuqiao Wen; Lili Mou (CoRR, 2024)

Action Controlled Paraphrasing. - Ning Shi; Zijun Wu 002; Lili Mou (CoRR, 2024)

NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks. - Yongchang Hao; Yanshuai Cao; Lili Mou (CoRR, 2024)

Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing. - Behzad Shayegh; Hobie H.-B. Lee; Xiaodan Zhu 001; Jackie Chi Kit Cheung; Lili Mou (AAAI, 2025)

EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation. - Yuqiao Wen; Behzad Shayegh; Chenyang Huang 001; Yanshuai Cao; Lili Mou (AAAI, 2025)

Revisiting Intermediate-Layer Matching in Knowledge Distillation: Layer-Selection Strategy Doesn't Matter (Much). - Zony Yu; Yuqiao Wen; Lili Mou (CoRR, 2025)

ULPT: Prompt Tuning with Ultra-Low-Dimensional Optimization. - Zijun Wu 002; Yongchang Hao; Lili Mou (CoRR, 2025)

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization. - Yuqiao Wen; Yanshuai Cao; Lili Mou (CoRR, 2025)

KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation. - Jiabin Fan; Guoqing Luo; Michael Bowling; Lili Mou (CoRR, 2025)

RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization. - Yihong Dong; Xue Jiang; Yongding Tao; Huanyu Liu; Kechi Zhang; Lili Mou; Rongyu Cao; Yingwei Ma; Jue Chen; Binhua Li; Zhi Jin 001; Fei Huang 002; et al. (CoRR, 2025)

Feeding Two Birds or Favoring One? Adequacy-Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation. - Behzad Shayegh; Jan-Thorsten Peter; David Vilar; Tobias Domhan; Juraj Juraska; Markus Freitag; Lili Mou (CoRR, 2025)

TokMem: Tokenized Procedural Memory for Large Language Models. - Zijun Wu 002; Yongchang Hao; Lili Mou (CoRR, 2025)

Investigating Thinking Behaviours of Reasoning-Based Language Models for Social Bias Mitigation. - Guoqing Luo; Iffat Maab; Lili Mou; Junichi Yamagishi (CoRR, 2025)

LoRAQuant: Mixed-Precision Quantization of LoRA to Ultra-Low Bits. - Amir Reza Mirzaei; Yuqiao Wen; Yanshuai Cao; Lili Mou (CoRR, 2025)