Lili Mou - RankMe

176 papers A* 33A 5B 8C 4Misc 2Journal 92Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Do Neural Networks Lose Plasticity in a Gradually Changing World? CoRR Tianhui Liu, Lili Mou
2026	J	`jnl`	IntentCoding: Amplifying User Intent in Code Generation. CoRR Zheng Fang, Yihong Dong, Lili Mou, Dongming Jin, Zhi Jin, Ge Li
2026	—	`conf`	KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation. EACL (Findings) Jiabin Fan, Guoqing Luo, Michael Bowling, Lili Mou
2026	J	`jnl`	Multi-Persona Thinking for Bias Mitigation in Large Language Models. CoRR Yuxing Chen, Guoqing Luo, Zijun Wu, Lili Mou
2026	—	`conf`	Ultra-Low-Dimensional Prompt Tuning via Random Projection. EACL (Volume 1: Long Papers) Zijun Wu, Yongchang Hao, Lili Mou
2025	J	`jnl`	A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers. CoRR Chenyang Huang, Hao Zhou, Cameron Jen, Kangjie Zheng, Osmar R. Zaïane, Lili Mou
2025	A*	`conf`	EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation. AAAI Yuqiao Wen, Behzad Shayegh, Chenyang Huang, Yanshuai Cao, Lili Mou
2025	A*	`conf`	Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing. AAAI Behzad Shayegh, Hobie H.-B. Lee, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou
2025	J	`jnl`	Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization. CoRR Yuqiao Wen, Yanshuai Cao, Lili Mou
2025	J	`jnl`	Feeding Two Birds or Favoring One? Adequacy-Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation. CoRR Behzad Shayegh, Jan-Thorsten Peter, David Vilar, Tobias Domhan, Juraj Juraska, Markus Freitag, Lili Mou
2025	J	`jnl`	Investigating Thinking Behaviours of Reasoning-Based Language Models for Social Bias Mitigation. CoRR Guoqing Luo, Iffat Maab, Lili Mou, Junichi Yamagishi
2025	J	`jnl`	KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation. CoRR Jiabin Fan, Guoqing Luo, Michael Bowling, Lili Mou
2025	J	`jnl`	LoRAQuant: Mixed-Precision Quantization of LoRA to Ultra-Low Bits. CoRR Amir Reza Mirzaei, Yuqiao Wen, Yanshuai Cao, Lili Mou
2025	J	`jnl`	Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation. CoRR Chenyang Huang, Fei Huang, Zaixiang Zheng, Osmar R. Zaïane, Hao Zhou, Lili Mou
2025	J	`jnl`	RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization. CoRR Yihong Dong, Xue Jiang, Yongding Tao, Huanyu Liu, Kechi Zhang, Lili Mou, Rongyu Cao, Yingwei Ma, Jue Chen, Binhua Li, Zhi Jin, Fei Huang, Yongbin Li, Ge Li
2025	—	`conf`	Revisiting Intermediate-Layer Matching in Knowledge Distillation: Layer-Selection Strategy Doesn't Matter (Much). IJCNLP-AACL (Findings) Zony Yu, Yuqiao Wen, Lili Mou
2025	J	`jnl`	Revisiting Intermediate-Layer Matching in Knowledge Distillation: Layer-Selection Strategy Doesn't Matter (Much). CoRR Zony Yu, Yuqiao Wen, Lili Mou
2025	J	`jnl`	TokMem: Tokenized Procedural Memory for Large Language Models. CoRR Zijun Wu, Yongchang Hao, Lili Mou
2025	J	`jnl`	ULPT: Prompt Tuning with Ultra-Low-Dimensional Optimization. CoRR Zijun Wu, Yongchang Hao, Lili Mou
2024	—	`conf`	A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers. EMNLP (Findings) Chenyang Huang, Hao Zhou, Cameron Jen, Kangjie Zheng, Osmar R. Zaïane, Lili Mou
2024	—	`conf`	A Dual-View Approach to Classifying Radiology Reports by Co-Training. LREC/COLING Yutong Han, Yan Yuan, Lili Mou
2024	J	`jnl`	A Dual-View Approach to Classifying Radiology Reports by Co-Training. CoRR Yutong Han, Yan Yuan, Lili Mou
2024	J	`jnl`	Action Controlled Paraphrasing. CoRR Ning Shi, Zijun Wu, Lili Mou
2024	—	`conf`	Claim-Centric and Sentiment Guided Graph Attention Network for Rumour Detection. LREC/COLING Sajad Ramezani, Mauajama Firdaus, Lili Mou
2024	J	`jnl`	EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation. CoRR Yuqiao Wen, Behzad Shayegh, Chenyang Huang, Yanshuai Cao, Lili Mou
2024	A*	`conf`	Ensemble Distillation for Unsupervised Constituency Parsing. ICLR Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie C. K. Cheung, Lili Mou
2024	J	`jnl`	Ensemble-Based Unsupervised Discontinuous Constituency Parsing by Tree Averaging. CoRR Behzad Shayegh, Yuqiao Wen, Lili Mou
2024	J	`jnl`	Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing. CoRR Behzad Shayegh, Hobie H.-B. Lee, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou
2024	A*	`conf`	Flora: Low-Rank Adapters Are Secretly Gradient Compressors. ICML Yongchang Hao, Yanshuai Cao, Lili Mou
2024	J	`jnl`	Flora: Low-Rank Adapters Are Secretly Gradient Compressors. CoRR Yongchang Hao, Yanshuai Cao, Lili Mou
2024	J	`jnl`	Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks. CoRR Yongchang Hao, Yanshuai Cao, Lili Mou
2024	—	`conf`	LLMR: Knowledge Distillation with a Large Language Model-Induced Reward. LREC/COLING Dongheng Li, Yongchang Hao, Lili Mou
2024	J	`jnl`	LLMR: Knowledge Distillation with a Large Language Model-Induced Reward. CoRR Dongheng Li, Yongchang Hao, Lili Mou
2024	J	`jnl`	NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks. CoRR Yongchang Hao, Yanshuai Cao, Lili Mou
2024	—	`conf`	Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing. ACL (1) Behzad Shayegh, Yuqiao Wen, Lili Mou
2024	A*	`conf`	Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models. ICLR Zijun Wu, Yongkang Wu, Lili Mou
2023	A*	`conf`	An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation. ICLR Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou
2023	J	`jnl`	Ensemble Distillation for Unsupervised Constituency Parsing. CoRR Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou
2023	—	`conf`	Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation. IJCNLP (Findings) Chenyang Huang, Fei Huang, Zaixiang Zheng, Osmar Zaïane, Hao Zhou, Lili Mou
2023	—	`conf`	Prompt-Based Editing for Text Style Transfer. EMNLP (Findings) Guoqing Luo, Yutong Han, Lili Mou, Mauajama Firdaus
2023	J	`jnl`	Prompt-Based Editing for Text Style Transfer. CoRR Guoqing Luo, Yutong Han, Lili Mou, Mauajama Firdaus
2023	J	`jnl`	Search and Learning for Unsupervised Text Generation. CoRR Lili Mou
2023	J	`jnl`	Unsupervised Chunking with Hierarchical RNN. CoRR Zijun Wu, Anup Anand Deshmukh, Yongkang Wu, Jimmy Lin, Lili Mou
2023	A*	`conf`	Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic. ICLR Zijun Wu, Zi Xuan Zhang, Atharva Naik, Zhijian Mei, Mauajama Firdaus, Lili Mou
2023	J	`jnl`	Weakly Supervised Reasoning by Neuro-Symbolic Approaches. CoRR Xianggen Liu, Zhengdong Lu, Lili Mou
2023	—	`ch.`	Weakly Supervised Reasoning by Neuro-Symbolic Approaches. Compendium of Neurosymbolic Artificial Intelligence Xianggen Liu, Zhengdong Lu, Lili Mou
2023	J	`jnl`	Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models. CoRR Zijun Wu, Yongkang Wu, Lili Mou
2023	—	`conf`	f-Divergence Minimization for Sequence-Level Knowledge Distillation. ACL (1) Yuqiao Wen, Zichao Li, Wenyu Du, Lili Mou
2023	J	`jnl`	f-Divergence Minimization for Sequence-Level Knowledge Distillation. CoRR Yuqiao Wen, Zichao Li, Wenyu Du, Lili Mou
2022	A*	`conf`	A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization. NeurIPS Puyuan Liu, Xiang Zhang, Lili Mou
2022	J	`jnl`	A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization. CoRR Puyuan Liu, Xiang Zhang, Lili Mou
2022	B	`conf`	An Empirical Study on the Overlapping Problem of Open-Domain Dialogue Datasets. LREC Yuqiao Wen, Guoqing Luo, Lili Mou
2022	J	`jnl`	An Empirical Study on the Overlapping Problem of Open-Domain Dialogue Datasets. CoRR Yuqiao Wen, Guoqing Luo, Lili Mou
2022	J	`jnl`	An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation. CoRR Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou
2022	—	`conf`	Controlling Perceived Emotion in Symbolic Music Generation with Monte Carlo Tree Search. AIIDE Lucas N. Ferreira, Lili Mou, Jim Whitehead, Levi H. S. Lelis
2022	J	`jnl`	Controlling Perceived Emotion in Symbolic Music Generation with Monte Carlo Tree Search. CoRR Lucas N. Ferreira, Lili Mou, Jim Whitehead, Levi H. S. Lelis
2022	—	`conf`	Document-Level Relation Extraction with Sentences Importance Estimation and Focusing. NAACL-HLT Wang Xu, Kehai Chen, Lili Mou, Tiejun Zhao
2022	J	`jnl`	Document-Level Relation Extraction with Sentences Importance Estimation and Focusing. CoRR Wang Xu, Kehai Chen, Lili Mou, Tiejun Zhao
2022	A*	`conf`	Generalized Equivariance and Preferential Labeling for GNN Node Classification. AAAI Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang
2022	—	`conf`	Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization. ACL (1) Puyuan Liu, Chenyang Huang, Lili Mou
2022	J	`jnl`	Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization. CoRR Puyuan Liu, Chenyang Huang, Lili Mou
2022	A*	`conf`	MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. WWW Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng
2022	J	`jnl`	MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. CoRR Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng
2022	A*	`conf`	Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision. AAAI Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li
2022	A*	`conf`	Search and Learn: Improving Semantic Coverage for Data-to-Text Generation. AAAI Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou
2022	J	`jnl`	Search and Learning for Unsupervised Text Generation. AI Mag. Lili Mou
2022	A*	`conf`	Teacher Forcing Recovers Reward Functions for Text Generation. NeurIPS Yongchang Hao, Yuxin Liu, Lili Mou
2022	J	`jnl`	Teacher Forcing Recovers Reward Functions for Text Generation. CoRR Yongchang Hao, Yuxin Liu, Lili Mou
2021	—	`conf`	A Globally Normalized Neural Model for Semantic Parsing. SPNLP@ACL-IJCNLP Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar Zaïane, Lili Mou
2021	J	`jnl`	A Globally Normalized Neural Model for Semantic Parsing. CoRR Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar R. Zaïane, Lili Mou
2021	J	`jnl`	Dynamic Labeling for Unlabeled Graph Neural Networks. CoRR Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang
2021	J	`jnl`	Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision. CoRR Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li
2021	J	`jnl`	Search and Learn: Improving Semantic Coverage for Data-to-Text Generation. CoRR Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou
2021	Misc	`conf`	Semi-Supervised and Unsupervised Sense Annotation via Translations. RANLP Bradley Hauer, Grzegorz Kondrak, Yixing Luan, Arnob Mallik, Lili Mou
2021	J	`jnl`	Semi-Supervised and Unsupervised Sense Annotation via Translations. CoRR Bradley Hauer, Grzegorz Kondrak, Yixing Luan, Arnob Mallik, Lili Mou
2021	—	`conf`	Seq2Emo: A Sequence to Multi-Label Emotion Classification Model. NAACL-HLT Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Lili Mou, Osmar R. Zaïane
2021	A	`conf`	Simulated Annealing for Emotional Dialogue Systems. CIKM Chengzhang Dong, Chenyang Huang, Osmar Zaïane, Lili Mou
2021	J	`jnl`	Simulated Annealing for Emotional Dialogue Systems. CoRR Chengzhang Dong, Chenyang Huang, Osmar R. Zaïane, Lili Mou
2021	J	`jnl`	Simulated annealing for optimization of graphs and sequences. CoRR Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song
2021	J	`jnl`	Simulated annealing for optimization of graphs and sequences. Neurocomputing Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song
2021	—	`conf`	Unsupervised Chunking as Syntactic Structure Induction with a Knowledge-Transfer Approach. EMNLP (Findings) Anup Anand Deshmukh, Qianqiu Zhang, Ming Li, Jimmy Lin, Lili Mou
2021	—	`conf`	Wasserstein Autoencoders with Mixture of Gaussian Priors for Stylized Text Generation. TDS Amirpasha Ghabussi, Lili Mou, Olga Vechtomova
2021	J	`jnl`	Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic. CoRR Zijun Wu, Atharva Naik, Zi Xuan Zhang, Lili Mou
2020	B	`conf`	Adversarial Learning on the Latent Space for Diverse Dialog Generation. COLING Kashif Khan, Gaurav Sahu, Vikash Balasubramanian, Lili Mou, Olga Vechtomova
2020	A*	`conf`	Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction. ACL Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova, Katja Markert
2020	J	`jnl`	Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction. CoRR Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova, Katja Markert
2020	J	`jnl`	Finding decision jumps in text classification. Neurocomputing Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
2020	B	`conf`	Formality Style Transfer with Shared Latent Space. COLING Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, Wen-Han Chao
2020	J	`jnl`	How Chaotic Are Recurrent Neural Networks? CoRR Pourya Vakilipourtakalou, Lili Mou
2020	—	`conf`	Improving Word Sense Disambiguation with Translations. EMNLP (1) Yixing Luan, Bradley Hauer, Lili Mou, Grzegorz Kondrak
2020	A*	`conf`	Iterative Edit-Based Unsupervised Sentence Simplification. ACL Dhruv Kumar, Lili Mou, Lukasz Golab, Olga Vechtomova
2020	J	`jnl`	Iterative Edit-Based Unsupervised Sentence Simplification. CoRR Dhruv Kumar, Lili Mou, Lukasz Golab, Olga Vechtomova
2020	A*	`conf`	Progressive Memory Banks for Incremental Domain Adaptation. ICLR Nabiha Asghar, Lili Mou, Kira A. Selby, Kevin D. Pantasdo, Pascal Poupart, Xin Jiang
2020	—	`conf`	Stylized Text Generation: Approaches and Applications. ACL (tutorial) Lili Mou, Olga Vechtomova
2020	A*	`conf`	TreeGen: A Tree-Based Transformer Architecture for Code Generation. AAAI Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang
2020	A*	`conf`	Unsupervised Paraphrasing by Simulated Annealing. ACL Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song
2020	A*	`conf`	Unsupervised Text Generation by Learning from Search. NeurIPS Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King
2020	J	`jnl`	Unsupervised Text Generation by Learning from Search. CoRR Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King
2019	A*	`conf`	A Grammar-Based Structural CNN Decoder for Code Generation. AAAI Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang
2019	—	`conf`	An Imitation Learning Approach to Unsupervised Parsing. ACL (1) Bowen Li, Lili Mou, Frank Keller
2019	J	`jnl`	An Imitation Learning Approach to Unsupervised Parsing. CoRR Bowen Li, Lili Mou, Frank Keller
2019	A*	`conf`	CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. AAAI Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li
2019	J	`jnl`	Conditional Response Generation Using Variational Alignment. CoRR Kashif Khan, Gaurav Sahu, Vikash Balasubramanian, Lili Mou, Olga Vechtomova
2019	—	`conf`	Discreteness in Neural Natural Language Processing. EMNLP/IJCNLP (2) Lili Mou, Hao Zhou, Lei Li
2019	—	`conf`	Disentangled Representation Learning for Non-Parallel Text Style Transfer. ACL (1) Vineet John, Lili Mou, Hareesh Bahuleyan, Olga Vechtomova
2019	J	`jnl`	Distilling Task-Specific Knowledge from BERT into Simple Neural Networks. CoRR Raphael Tang, Yao Lu, Linqing Liu, Lili Mou, Olga Vechtomova, Jimmy Lin
2019	—	`conf`	Generating Sentences from Disentangled Syntactic and Semantic Spaces. ACL (1) Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xin-Yu Dai, Jiajun Chen
2019	J	`jnl`	Generating Sentences from Disentangled Syntactic and Semantic Spaces. CoRR Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xinyu Dai, Jiajun Chen
2019	—	`conf`	Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer. EMNLP/IJCNLP (1) Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, Wenhan Chao
2019	—	`conf`	Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation. NAACL-HLT (1) Hareesh Bahuleyan, Lili Mou, Hao Zhou, Olga Vechtomova
2019	J	`jnl`	Stylized Text Generation Using Wasserstein Autoencoders with a Mixture of Gaussian Prior. CoRR Amirpasha Ghabussi, Lili Mou, Olga Vechtomova
2019	J	`jnl`	TreeGen: A Tree-Based Transformer Architecture for Code Generation. CoRR Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang
2019	J	`jnl`	Unsupervised Paraphrasing by Simulated Annealing. CoRR Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song
2019	Misc	`conf`	Why Do Neural Dialog Systems Generate Short and Meaningless Replies? a Comparison between Dialog and Translation. ICASSP Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin
2018	J	`jnl`	A Grammar-Based Structural CNN Decoder for Code Generation. CoRR Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang
2018	A	`conf`	Affective Neural Response Generation. ECIR Nabiha Asghar, Pascal Poupart, Jesse Hoey, Xin Jiang, Lili Mou
2018	J	`jnl`	CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. CoRR Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li
2018	J	`jnl`	Disentangled Representation Learning for Text Style Transfer. CoRR Vineet John, Lili Mou, Hareesh Bahuleyan, Olga Vechtomova
2018	J	`jnl`	JUMPER: Learning When to Make Classification Decisions in Reading. CoRR Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
2018	A*	`conf`	Jumper: Learning When to Make Classification Decision in Reading. IJCAI Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
2018	J	`jnl`	Modeling Past and Future for Neural Machine Translation. Trans. Assoc. Comput. Linguistics Zaixiang Zheng, Hao Zhou, Shujian Huang, Lili Mou, Xinyu Dai, Jiajun Chen, Zhaopeng Tu
2018	A*	`conf`	Order-Planning Neural Text Generation From Structured Data. AAAI Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui
2018	J	`jnl`	Probabilistic Natural Language Generation with Wasserstein Autoencoders. CoRR Hareesh Bahuleyan, Lili Mou, Kartik Vamaraju, Hao Zhou, Olga Vechtomova
2018	J	`jnl`	Progressive Memory Banks for Incremental Domain Adaptation. CoRR Nabiha Asghar, Lili Mou, Kira A. Selby, Kevin D. Pantasdo, Pascal Poupart, Xin Jiang
2018	A*	`conf`	RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems. AAAI Chongyang Tao, Lili Mou, Dongyan Zhao, Rui Yan
2018	A*	`conf`	Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models. AAAI Zhao Meng, Lili Mou, Zhi Jin
2018	B	`conf`	Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models. LREC Zhao Meng, Lili Mou, Zhi Jin
2018	—	`book`	Tree-Based Convolutional Neural Networks - Principles and Applications Lili Mou, Zhi Jin
2018	B	`conf`	Variational Attention for Sequence-to-Sequence Models. COLING Hareesh Bahuleyan, Lili Mou, Olga Vechtomova, Pascal Poupart
2017	J	`jnl`	Affective Neural Response Generation. CoRR Nabiha Asghar, Pascal Poupart, Jesse Hoey, Xin Jiang, Lili Mou
2017	—	`conf`	Coupling Distributed and Symbolic Execution for Natural Language Queries. ICLR (Workshop) Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin
2017	A*	`conf`	Coupling Distributed and Symbolic Execution for Natural Language Queries. ICML Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin
2017	A	`conf`	Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection. CIKM Zhao Meng, Lili Mou, Zhi Jin
2017	J	`jnl`	Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection. CoRR Zhao Meng, Lili Mou, Zhi Jin
2017	—	`conf`	How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models. ACL (2) Zhiliang Tian, Rui Yan, Lili Mou, Yiping Song, Yansong Feng, Dongyan Zhao
2017	J	`jnl`	Modeling Past and Future for Neural Machine Translation. CoRR Zaixiang Zheng, Hao Zhou, Shujian Huang, Lili Mou, Xinyu Dai, Jiajun Chen, Zhaopeng Tu
2017	J	`jnl`	Order-Planning Neural Text Generation From Structured Data. CoRR Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui
2017	J	`jnl`	RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems. CoRR Chongyang Tao, Lili Mou, Dongyan Zhao, Rui Yan
2017	J	`jnl`	Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models. CoRR Zhao Meng, Lili Mou, Zhi Jin
2017	J	`jnl`	Variational Attention for Sequence-to-Sequence Models. CoRR Hareesh Bahuleyan, Lili Mou, Olga Vechtomova, Pascal Poupart
2017	J	`jnl`	Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation. CoRR Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin
2016	—	`conf`	Compressing Neural Language Models by Sparse Word Representations. ACL (1) Yunchuan Chen, Lili Mou, Yan Xu, Ge Li, Zhi Jin
2016	J	`jnl`	Compressing Neural Language Models by Sparse Word Representations. CoRR Yunchuan Chen, Lili Mou, Yan Xu, Ge Li, Zhi Jin
2016	C	`conf`	Context-Aware Tree-Based Convolutional Neural Networks for Natural Language Inference. KSEM Zhao Meng, Lili Mou, Ge Li, Zhi Jin
2016	A*	`conf`	Convolutional Neural Networks over Tree Structures for Programming Language Processing. AAAI Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin
2016	J	`jnl`	Coupling Distributed and Symbolic Execution for Natural Language Queries. CoRR Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin
2016	A	`conf`	Dialogue Session Segmentation by Embedding-Enhanced TextTiling. INTERSPEECH Yiping Song, Lili Mou, Rui Yan, Li Yi, Zinan Zhu, Xiaohua Hu, Ming Zhang
2016	J	`jnl`	Dialogue Session Segmentation by Embedding-Enhanced TextTiling. CoRR Yiping Song, Lili Mou, Rui Yan, Li Yi, Zinan Zhu, Xiaohua Hu, Ming Zhang
2016	A	`conf`	Distilling Word Embeddings: An Encoding Approach. CIKM Lili Mou, Ran Jia, Yan Xu, Ge Li, Lu Zhang, Zhi Jin
2016	A*	`conf`	How Transferable are Neural Networks in NLP Applications? EMNLP Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin
2016	J	`jnl`	How Transferable are Neural Networks in NLP Applications? CoRR Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin
2016	J	`jnl`	Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation. CoRR Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin
2016	B	`conf`	Improved relation classification by deep recurrent neural networks with data augmentation. COLING Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin
2016	—	`conf`	Natural Language Inference by Tree-Based Convolution and Heuristic Matching. ACL (2) Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin
2016	B	`conf`	Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation. COLING Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, Zhi Jin
2016	J	`jnl`	Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation. CoRR Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, Zhi Jin
2016	A*	`conf`	StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation. IJCAI Xiang Li, Lili Mou, Rui Yan, Ming Zhang
2016	J	`jnl`	StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation. CoRR Xiang Li, Lili Mou, Rui Yan, Ming Zhang
2015	A*	`conf`	A Comparative Study on Regularization Strategies for Embedding-based Neural Networks. EMNLP Hao Peng, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin
2015	J	`jnl`	A Comparative Study on Regularization Strategies for Embedding-based Neural Networks. CoRR Hao Peng, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin
2015	J	`jnl`	Backbone Language Modeling for Constrained Natural Language Generation. CoRR Lili Mou, Rui Yan, Ge Li, Lu Zhang, Zhi Jin
2015	C	`conf`	Building Program Vector Representations for Deep Learning. KSEM Hao Peng, Lili Mou, Ge Li, Yuxuan Liu, Lu Zhang, Zhi Jin
2015	J	`jnl`	Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path. CoRR Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin
2015	A*	`conf`	Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths. EMNLP Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin
2015	A*	`conf`	Discriminative Neural Sentence Modeling by Tree-Based Convolution. EMNLP Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin
2015	J	`jnl`	Distilling Word Embeddings: An Encoding Approach. CoRR Lili Mou, Ge Li, Yan Xu, Lu Zhang, Zhi Jin
2015	J	`jnl`	On End-to-End Program Generation from User Intention by Deep Neural Networks. CoRR Lili Mou, Rui Men, Ge Li, Lu Zhang, Zhi Jin
2015	J	`jnl`	Recognizing Entailment and Contradiction by Tree-based Convolution. CoRR Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin
2015	J	`jnl`	Tree-based Convolution: A New Neural Architecture for Sentence Modeling. CoRR Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin
2014	J	`jnl`	Building Program Vector Representations for Deep Learning. CoRR Lili Mou, Ge Li, Yuxuan Liu, Hao Peng, Zhi Jin, Yan Xu, Lu Zhang
2014	J	`jnl`	Learning Non-Taxonomic Relations on Demand for Ontology Extension. Int. J. Softw. Eng. Knowl. Eng. Yan Xu, Ge Li, Lili Mou, Yangyang Lu
2014	J	`jnl`	TBCNN: A Tree-Based Convolutional Neural Network for Programming Language Processing. CoRR Lili Mou, Ge Li, Zhi Jin, Lu Zhang, Tao Wang
2014	C	`conf`	Verification Based on Hyponymy Hierarchical Characteristics for Web-Based Hyponymy Discovery. KSEM Lili Mou, Ge Li, Zhi Jin, Lu Zhang
2013	B	`conf`	Domain Hyponymy Hierarchy Discovery by Iterative Web Searching and Inferable Semantics Based Concept Selecting. COMPSAC Lili Mou, Ge Li, Zhi Jin
2013	A*	`conf`	MCT: a tool for commenting programs by multimedia comments. ICSE Yiyang Hao, Ge Li, Lili Mou, Lu Zhang, Zhi Jin
2012	C	`conf`	Discovering Domain Concepts and Hyponymy Relations by Text Relevance Classifying Based Iterative Web Searching. APSEC Lili Mou, Ge Li, Zhi Jin, Yangyang Lu, Yiyang Hao