当前位置: X-MOL首页全球导师 国内导师 › 黄民烈

个人简介

教育背景 工学学士 (工程物理), 清华大学, 中国, 2000 工学博士 (计算机科学与技术), 清华大学, 中国, 2006 研究课题 国家自然科学基金: 基于图结构的文献挖掘算法与理论研究 (2009-2011) 国家自然科学基金:信息多样性与信息摘要(2013-2016) 国家科技支撑计划:法律文本中的自然语言处理问题研究(2013-2015) 国家973项目:社会感知数据处理的基础理论(2012-2016) 国家自然科学基金:开放领域人机对话技术研究(2019-2022) Selected Honors and Rewards 2021, Distinguished Young Scholars of National Science Foundation 2020, Best Student Paper in NLPCC 2020 (paper link) 2020, Best Paper in SIGDIAL 2020 (paper link, collaboration with Microsoft) 2019, Best Demo Paper Nomination in ACL 2019 (ConvLab, collaboration with Microsoft) 2019, Wuwenjun AI Award (from Chinese AI Society) 2019, Alibaba Innovative Research Award 2019, MSRA Collaborative Research Grand 2018, Distinguished paper in IJCAI-ECAI 2018 (paper link) 2018, Hanvon Youngth Innovation Award (from Chinese Information Processing Society) 2018, CCL Best Demo Award 2017, Winner of Short Text Conversation Challenge II at NTCIR 2015, NLPCC Best Paper 2008/2018, Excellent Employee of the Department 2006, Excellent PhD graduate of the University 2006, Excellent PhD Dissertation of the University

研究领域

人工智能、机器学习理论与方法,包括深度学习、强化学习等 自然语言处理技术与方法,如语言理解、语言生成、语言匹配与推理,具体应用包括自动问答、阅读理解、对话系统、情感分析等

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Qi Zhu, Fei Mi, Zheng Zhang, Yasheng Wang, Yitong Li, Xin Jiang, Qun Liu, Xiaoyan Zhu, Minlie Huang KPT: Keyword-guided Pre-training for Grounded Dialog Generation. AAAI 2023 Jian Guan, Zhenyu Yang, Rongsheng Zhang, Zhipeng Hu, Minlie Huang Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework. AAAI 2023 Haozhe Ji, Pei Ke, Zhipeng Hu, Rongsheng Zhang, Minlie Huang Tailoring Language Generation Models under Total Variation Distance. ICLR 2023 Yilin Niu, Fei Huang, Wei Liu, Jianwei Cui, Bin Wang, Minlie Huang Bridging the Gap between Synthetic and Natural Questions via Sentence Decomposition for Semantic Parsing. TACL 2023 Fei Huang, Pei Ke, Minlie Huang Directed acyclic transformer pre-training for high-quality non-autoregressive text generation. TACL 2023 SahandSabour, WenZhang, XiyaoXiao, YuweiZhang, YinheZheng, JiaxinWen, JialuZhao, MinlieHuang A chatbot for mental health support: exploring the impact of Emohaa on reducing mental distress in China. Frontiers in Digital Health Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models. ICML 2023 Zhexin Zhang, Jiaxin Wen, Minlie Huang Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation. ACL 2023 Pei Ke, Fei Huang, Fei Mi, Yasheng Wang, Qun Liu, Xiaoyan Zhu, Minlie Huang DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering. ACL 2023 Hao Sun, Zhexin Zhang, Fei Mi, Yasheng Wang, Wei Liu, Jianwei Cui, Bin Wang, Qun Liu, Minlie Huang MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Moral Discussions. ACL 2023 Jinfeng Zhou, Chujie Zheng, Bo Wang, Zheng Zhang, Minlie Huang CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation. ACL 2023 Jinfeng Zhou, Zhuang Chen, Bo Wang, Minlie Huang Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach. ACL 2023 Yuxian Gu, Li Dong, Furu Wei, Minlie Huang Pre-Training to Learn in Context. ACL 2023 Xuekai Zhu, Jian Guan, Minlie Huang, Juan Liu StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing. ACL 2023 Chujie Zheng, Pei Ke, Zheng Zhang, Minlie Huang Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning. Findings of ACL 2023 Chujie Zheng, Sahand Sabour, Jiaxin Wen, Zheng Zhang, Minlie Huang AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation. Findings of ACL 2023 Jiale Cheng, Sahand Sabour, Hao Sun, Zhuang Chen, Minlie Huang PAL: Persona-Augmented Emotional Support Conversation Generation. Findings of ACL 2023 Jian Guan, Minlie Huang Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation. Short Findings of ACL 2023 Jiawen Deng, Zhuang Chen, Hao Sun, Zhexin Zhang, Jincenzi Wu, Satoshi Nakagawa, Fuji Ren, Minlie Huang Enhancing Offensive Language Detection with Data Augmentation and Knowledge Distillation. Research 2023 Sahand Sabour, Chujie Zheng, Minlie Huang CEM: Commonsense-aware Empathetic Response Generation. AAAI 2022 Zhihong Shao, Zhongqin Wu, Minlie Huang AdvExpander: Generating Natural Language Adversarial Examples by Expanding Text. IEEE/ACM Transactions on Audio, Speech, and Language Processing Jian Guan, Zhuoer Feng, Yamei Chen, Ruilin He, Xiaoxi Mao, Changjie Fan, Minlie Huang LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation. TACL 2022 Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. ACL 2022 (Long Paper) Qi Zhu, Bing Li, Fei Mi, Xiaoyan Zhu, Minlie Huang Continual Prompt Tuning for Dialog State Tracking. ACL 2022 (Long Paper) Zhihong Shao, Minlie Huang Answering Open-Domain Multi-Answer Questions via a Recall-then-Verify Framework. ACL 2022 (Long Paper) Yuxian Gu, Xu Han, Zhiyuan Liu, Minlie Huang PPT: Pre-trained Prompt Tuning for Few-shot Learning. ACL 2022 (Long Paper) Siyang Liu, Sahand Sabour, Yinhe Zheng, Pei Ke, Xiaoyan Zhu, Minlie Huang Rethinking and Refining the Distinct Metric. ACL 2022 (Short Paper) Hao Sun, Guangxuan Xu, Jiawen Deng, Jiale Cheng, Chujie Zheng, Hao Zhou, Nanyun Peng, Xiaoyan Zhu, Minlie Huang On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark. Findings of ACL 2022 Silin Gao; Ryuichi Takanobu; Antoine Bosselut; Minlie Huang End-to-End Task-Oriented Dialog Modeling with Semi-Structured Knowledge Management. IEEE/ACM Transactions on Audio, Speech, and Language Processing Jian Guan, Ziqi Liu, Minlie Huang A Corpus for Understanding and Generating Moral Stories. NAACL 2022 Haozhe Ji, Rongsheng Zhang, Zhenyu Yang, Zhipeng Hu, Minlie Huang LaMemo: Language Modeling with Look-Ahead Memory. NAACL 2022 Zhexin Zhang, Jiaxin Wen, Jian Guan, Minlie Huang Persona-Guided Planning for Controlling the Protagonist’s Persona in Story Generation. NAACL 2022 Pei Ke, Haozhe Ji, Zhenyu Yang, Yi Huang, Junlan Feng, Xiaoyan Zhu, Minlie Huang Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation. IJCAI 2022 Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang On the Learning of Non-Autoregressive Transformers. ICML 2022 Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang Directed Acyclic Transformer for Non-Autoregressive Machine Translation. ICML2022 Jiawen Deng, Jingyan Zhou, Hao Sun, Chujie Zheng, Fei Mi, Helen Meng, Minlie Huang COLD: A Benchmark for Chinese Offensive Language Detection. EMNLP 2022 Yuxian Gu, Pei Ke, Xiaoyan Zhu, Minlie Huang Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization. EMNLP 2022 Chujie Zheng, Jinfeng Zhou, Yinhe Zheng, Libiao Peng, Zhen Guo, Wenquan Wu, Zhengyu Niu, Hua Wu, Minlie Huang CDConv: A Benchmark for Contradiction Detection in Chinese Conversations. EMNLP 2022 Dazhen Wan, Zheng Zhang, Qi Zhu, Lizi Liao, Minlie Huang A Unified Dialogue User Simulator for Few-shot Data Augmentation. Findings of EMNLP 2022 Jiaxin Wen, Yeshuang Zhu, Jinchao Zhang, Jie Zhou, Minlie Huang AutoCAD: Automatically Generate Counterfactuals for Mitigating Shortcut Learning. Findings of EMNLP 2022 Zhihong Shao, Fei Huang, Minlie Huang Chaining Simultaneous Thoughts for Numerical Reasoning. Findings of EMNLP 2022 Zhexin Zhang, Jiale Cheng, Hao Sun, Jiawen Deng, Fei Mi, Yasheng Wang, Lifeng Shang, Minlie Huang Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation. Findings of EMNLP 2022 Zhexin Zhang, Jian Guan, Guowei Xu, Yixiang Tian and Minlie Huang Automatic Comment Generation for Chinese Student Narrative Essays. EMNLP 2022 (demo) Siyang Liu, Chujie Zheng, Orianna Demasi, Sahand Sabour, Yu Li, Zhou Yu, Yong Jiang, Minlie Huang Towards Emotional Support Dialogue Systems. ACL 2021 (Long Paper) Yilin Niu, Fei Huang, Jiaming Liang, Wenkai Chen, Xiaoyan Zhu, Minlie Huang A Semantic-based Method for Unsupervised Commonsense Question Answering. ACL 2021 (Long Paper) Jiexi Liu, Ryuichi Takanobu, Jiaxin Wen, Dazhen Wan, Hongguang Li, Weiran Nie, Cheng Li, Wei Peng, Minlie Huang Robustness Testing of Language Understanding in Task-Oriented Dialog. ACL 2021 (Long Paper) Jian Guan, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan, Minlie Huang OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. ACL 2021 (Long Paper) Jian Guan, Xiaoxi Mao, changjie fan, Zitao Liu, Wenbiao Ding, Minlie Huang Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence. ACL 2021 (Long Paper) Zhihong Shao, Lifeng Shang, Qun Liu, Minlie Huang A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering. ACL 2021 (Long Paper) Yida Wang, Yinhe Zheng, Yong Jiang, Minlie Huang Diversifying Dialog Generation via Adaptive Label Smoothing. ACL 2021 (Long Paper) Chujie Zheng, Yong Liu, Wei Chen, Yongcai Leng, Minlie Huang CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation. Findings of ACL 2021 (Long Paper) Hao Sun, Zhenru Lin, Chujie Zheng, Siyang Liu, Minlie Huang PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support. Findings of ACL 2021 (Long Paper) Silin Gao, Ryuichi Takanobu, Wei Peng, Qun Liu, Minlie Huang HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management. Findings of ACL 2021 (Long Paper) Xiangzhe Kong, Jialiang Huang, Ziquan Tung, Jian Guan, Minlie Huang Stylized Story Generation with Style-Guided Planning. Findings of ACL 2021 (Short Paper) Fei Huang, Zikai Chen, Chen Henry Wu, Qihan Guo, Xiaoyan Zhu, Minlie Huang NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer. Findings of ACL 2021 (Long Paper) Pei Ke, Haozhe Ji, Yu Ran, Xin Cui, Liwei Wang, Linfeng Song, Xiaoyan Zhu, Minlie Huang JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs. Findings of ACL 2021 (Long Paper) Fei Mi, Wanhao Zhou, Fengyu Cai, Lingjing Kong, Minlie Huang, Boi Faltings Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems. EMNLP 2021(Long Paper) Chen Henry Wu, Yinhe Zheng, Xiaoxi Mao, Minlie Huang Transferable Persona-Grounded Dialogues via Grounded Minimal Edits. EMNLP 2021(Long Paper) Haozhe Ji, Minlie Huang DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer. EMNLP 2021(Long Paper) Wenchang Ma, Ryuichi Takanobu, Minlie Huang CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation. EMNLP 2021(Long Paper) Hao Zhou, Minlie Huang, Yong Liu, Wei Chen, Xiaoyan Zhu EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning. EMNLP 2021(Long Paper) Qi Zhu, Yuxian Gu, Lingxiao Luo, Bing Li, Cheng Li, Wei Peng, Minlie Huang, Xiaoyan Zhu When does Further Pre-training MLM Help? An Empirical Study on Task-Oriented Dialog Pre-training. EMNLP 2021(The Second Workshop on Insights from Negative Results in NLP) Runze Liang, Ryuichi Takanobu, Fenglin Li, Ji Zhang, Haiqing Chen, Minlie Huang Turn-Level User Satisfaction Estimation in E-commerce Customer Service. ECNLP 2021 Yida Wang, Pei Ke, Yinhe Zheng, Kaili Huang, Yong Jiang, Xiaoyan Zhu, Minlie Huang A Large-Scale Chinese Short-Text Conversation Dataset. NLPCC 2020 (Best Student Paper) Ryuichi Takanobu, Qi Zhu, Jinchao Li, Baolin Peng, Jianfeng Gao, Minlie Huang Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation. SIGDIAL 2020 (Best Paper) Ryuichi Takanobu, Runze Liang, Minlie Huang Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition. ACL 2020 Hao Zhou, Chujie Zheng, Kaili Huang, Minlie Huang, Xiaoyan Zhu KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation. ACL 2020 Yilin Niu, Fangkai Jiao, Mantong Zhou, Ting Yao, Jingfang Xu, Minlie Huang A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction. ACL 2020 Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, Minlie Huang ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems. ACL 2020 (Demo Paper) Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge. EMNLP 2020 (Long Paper) Jian Guan, Minlie Huang UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation. EMNLP 2020 (Long Paper) Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Xiaoyan Zhu, Minlie Huang Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph. EMNLP 2020 (Long Paper) Rongsheng Zhang, Yinhe Zheng, Jianzhi Shao, Xiaoxi Mao, Yadong Xi, Minlie Huang Dialogue Distillation: Open-domain Dialogue Augmentation Using Unpaired Data. EMNLP 2020 (Long Paper) Chujie Zheng, Yunbo Cao, Daxin Jiang, Minlie Huang Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation. Findings of EMNLP 2020 (Long Paper) Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Minlie Huang Generating Commonsense Explanation by Extracting Bridge Concepts. AACL 2020 (Long Paper) Yinhe Zheng, Rongsheng Zhang, Xiaoxi Mao, Minlie Huang A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data. AAAI 2020 Minlie Huang, Xiaoyan Zhu, Jianfeng Gao Challenges in Building Intelligent Open-domain Dialog Systems. TOIS 2020, 38(3): 1-32 Jian Guan, Fei Huang, Zhihao Zhao, Minlie Huang A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation. TACL 2020 Qi Zhu, Kaili Huang, Zheng Zhang, Xiaoyan Zhu, Minlie Huang CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset. TACL 2020 Mantong Zhou, Minlie Huang, Xiaoyan Zhu Robust Reading Comprehension with Linguistic Constraints via Posterior Regularization. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020, 28: 2500-2510 Yinhe Zheng, Guanyi Chen, Minlie Huang Out-of-domain Detection for Natural Language Understanding in Dialog Systems. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020, 28: 1198-1209 Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness. AACL 2020 Fei Mi, Liangwei Chen, Mengjie Zhao, Minlie Huang, Boi Faltings Continual Learning for Natural Language Generation in Task-oriented Dialog Systems. Findings of EMNLP (Long Paper) Zhouxing Shi, Minlie Huang Robustness to Modification with Shared Words in Paraphrase Identification. Findings of EMNLP 2020 (Short Paper) Rongsheng Zhang, Xiaoxi Mao, Le Li, Lin Jiang, Lin Chen, Zhiwei Hu, Yadong Xi, Changjie Fan, Minlie Huang Youling: an AI-assisted Lyrics Creation System. EMNLP 2020 (Demo Paper) Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Xiang Li, Yaoqin Zhang, Zheng Zhang, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, Jianfeng Gao ConvLab: Multi-Domain End-to-End Dialog System Platform. ACL 2019 (Best Demo Paper Nomination) Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu ARAML: A Stable Adversarial Training Framework for Text Generation. EMNLP 2019 Ryuichi Takanobu, Hanlin Zhu, Minlie Huang Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog. EMNLP 2019 Zhihong Shao, Minlie Huang, Jiangtao Wen, Wenfei Xu, Xiaoyan Zhu Long and Diverse Text Generation with Planning-based Hierarchical Variational Model. EMNLP 2019 Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems. IJCAI 2019 Chen Cui, Wenjie Wang, Xuemeng Song, Minlie Huang, Xin-Shun Xu, Liqiang Nie User Attention-guided Multimodal Dialog Systems. SIGIR 2019 Chujie Zheng, Minlie Huang, Aixin Sun ChID: A Large-scale Chinese IDiom Dataset for Cloze Test. ACL 2019 Hao Zhou, Minlie Huang, Yishun Mao, Changlei Zhu, Peng Shu, Xiaoyan Zhu Domain-Constrained Advertising Keyword Generation. WWW 2019 Ryuichi Takanobu, Tao Zhuang, Minlie Huang, Jun Feng, Haihong Tang, Bo Zheng Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning. WWW 2019 Yequan Wang, Aixin Sun, Minlie Huang, Xiaoyan Zhu Aspect-level Sentiment Analysis using AS-Capsules. WWW 2019 Zheng Zhang, Lizi Liao, Minlie Huang, Xiaoyan Zhu, Tat-Seng Chua Neural Multimodal Belief Tracker with Adaptive Attention for Dialogue Systems. WWW 2019 Jian Guan, Yansen Wang, Minlie Huang Story Ending Generation with Incremental Encoding and Commonsense Knowledge. AAAI 2019 Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang A Hierarchical Framework for Relation Extraction with Reinforcement Learning. AAAI 2019 Zhouxing Shi, Minlie Huang A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues. AAAI 2019 Jun Feng, Minlie Huang, Yijie Zhang, Yang Yang, Xiaoyan Zhu Relation Mention Extraction from Noisy Data with Hierarchical Reinforcement Learning. arXiv Zheng Zhang, Minlie Huang, Zhongzhou Zhao, Feng Ji, Haiqing Chen, Xiaoyan Zhu Memory-augmented Dialogue Management for Task-oriented Dialogue Systems. TOIS 2019, 37(3): 1-30 Mantong Zhou, Minlie Huang, Xiaoyan Zhu Story Ending Selection by Finding Hints from Pairwise Candidate Endings. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019, 27(4): 719-729 Yinhe Zheng, Guanyi Chen, Minlie Huang, Song Liu, Xianchun Zhu Persona-aware Dialogue Generation with Enriched Profile. NIPS 2019 (Workshop) Hao Zhou, Tom Yang, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu Commonsense Knowledge Aware Conversation Generation with Graph Attention. IJCAI-ECAI 2018 (Distinguished Paper) Mantong Zhou, Minlie Huang, Xiaoyan Zhu An Interpretable Reasoning Network for Multi-Relation Question Answering. COLING 2018 Naitong Yu, Jie Zhang, Minlie Huang, Xiaoyan Zhu An Operation Network for Abstractive Sentence Compression. COLING 2018 Qiao Qian, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu Assigning personality/identity to a chatting machine for coherent conversation generation. IJCAI-ECAI 2018 Ryuichi Takanobu, Minlie Huang, Zhongzhou Zhao, Fenglin Li, Haiqing Chen, Xiaoyan Zhu, Liqiang Nie A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning. IJCAI-ECAI 2018 Shiyao Wang, Minlie Huang, Zhidong Deng Densely Connected CNN with Multi-scale Feature Attention for Text Classification. IJCAI-ECAI 2018 Wenjie Wang, Minlie Huang, Xin-Shun Xu, Fumin Shen, Liqiang Nie Chat More: Deepening and Widening the Chatting Topic via A Deep Model. SIGIR 2018 Pei Ke, Jian Guan, Minlie Huang, Xiaoyan Zhu Generating Informative Responses with Controlled Sentence Function. ACL 2018 Yansen Wang, Chenyi Liu, Minlie Huang, Liqiang Nie Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders. ACL 2018 Jun Feng, Heng Li, Minlie Huang, Shichen Liu, Wenwu Ou, Zhirong Wang, Xiaoyan Zhu Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning. WWW 2018 Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. AAAI 2018 Jun Feng, Minlie Huang, Li Zhao, Yang Yang, Xiaoyan Zhu Reinforcement Learning for Relation Classification from Noisy Data. AAAI 2018 Tianyang Zhang, Minlie Huang, Li Zhao Learning Structured Representation for Text Classification via Reinforcement Learning. AAAI 2018 Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, Minlie Huang Augmenting End-to-End Dialog Systems with Commonsense Knowledge. AAAI 2018 Qiao Qian, Minlie Huang, Jinhao Lei, Xiaoyan Zhu Linguistically Regularized LSTMs for Sentiment Classification. ACL 2017. Han Xiao, Minlie Huang, Lian Meng, Xiaoyan Zhu SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions. AAAI 2017 Minlie Huang, Qiao Qian, Xiaoyan Zhu Encoding Syntactic Knowledge in Neural Networks for Sentiment Classification. TOIS 2017, 35(3): 1-27 Hao Zhou, Minlie Huang, Xiaoyan Zhu Context-aware natural language generation for spoken dialogue systems. COLING 2016 Jun Feng, Minlie Huang, Yang Yang, Xiaoyan Zhu GAKE: Graph Aware Knowledge Embedding. COLING 2016 Naitong Yu, Minlie Huang, Yuanyuan Shi, Xiaoyan Zhu Product Review Summarization by Exploiting Phrase Properties. COLING 2016 Yequan Wang, Minlie Huang, Li Zhao, Xiaoyan Zhu Attention-based LSTM for Aspect-level Sentiment Classification. EMNLP 2016 Han Xiao, Minlie Huang, Xiaoyan Zhu From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction. IJCAI 2016 Biao Liu, Minlie Huang, Song Liu, Xuan Zhu, Xiaoyan Zhu A Sentence Interaction Network for Modeling Dependence between Sentences. ACL 2016 Han Xiao, Minlie Huang, Xiaoyan Zhu TransG : A Generative Model for Knowledge Graph Embedding. ACL 2016 Li Zhao, Minlie Huang, Ziyu Yao, Rongwei Su, Yingying Jiang, Xiaoyan Zhu Semi-Supervised Multinomial Naive Bayes for Text Classification by Leveraging Word-Level Statistical Constraint. AAAI 2016 Minlie Huang, Yujie Cao, Chao Dong Modeling Rich Contexts for Sentiment Classification with LSTM. arXiv Li Zhao, Minlie Huang, Jiashen Sun, Hengliang Luo, Xiankai Yang, Xiaoyan Zhu Sentiment Extraction by Leveraging Aspect-Opinion Association Structure. CIKM 2015 Biao Liu, Minlie Huang, Jiashen Sun, Xuan Zhu Incorporating Domain and Sentiment Supervision in Representation Learning for Domain Adaptation. IJCAI 2015 Qiao Qian, Bo Tian, Minlie Huang, Yang Liu, Xuan Zhu, Xiaoyan Zhu Learning Tag Embeddings and Tag-specific Composition Functions in Recursive Neural Network. ACL 2015 Li Zhao, Minlie Huang, Haiqiang Chen, Junjun Cheng, Xiaoyan Zhu Clustering Aspect-related Phrases by Leveraging Sentiment Distribution Consistency. EMNLP 2014 Lei Fang, Qiao Qian, Minlie Huang, Xiaoyan Zhu Ranking Sentiment Explanations for Review Summarization Using Dual Decomposition. CIKM 2014 Minlie Huang, Borui Ye, Yichen Wang, Haiqiang Chen, Junjun Cheng, Xiaoyan Zhu New Word Detection for Sentiment Analysis. ACL 2014 Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, Ming Li, Bin Ma Estimating feature ratings through an effective review selection approach. KAIS 2014, 38(2): 419-446 Lei Fang, Minlie Huang, Xiaoyan Zhu Exploring weakly supervised latent sentiment explanations for aspect-level review analysis. CIKM 2013 Po Hu, Minlie Huang, Peng Xu, Weichang Li, Adam K. Usadi, Xiaoyan Zhu Finding Nuggets in IP Portfolios: Core Patent Mining through Textual Temporal Analysis. CIKM 2012 Lei Fang, Minlie Huang Fine Granular Aspect Analysis using Latent Structural Models. ACL 2012 Minlie Huang, Xing Shi, Feng Jin, Xiaoyan Zhu Using First-order Logic to Compress Sentences. AAAI 2012 Minlie Huang, Yi Yang, Xiaoyan Zhu Quality-biased Ranking of Short Texts in Microblogging Services. IJCNLP 2011 Po Hu, Minlie Huang, Peng Xu, Weichang Li, Adam K. Usadi, Xiaoyan Zhu Generating Breakpoint-based Timeline Overview for News Topic Retrospection. ICDM 2011 Fangtao Li, Minlie Huang, Yi Yang, Xiaoyan Zhu Learning to Identify Review Spam. IJCAI 2011 Minlie Huang, Aurelie Neveol, Zhiyong Lu Recommending MeSH Terms for Annotating Biomedical Articles. JAMIA 2011. Minlie Huang, Jingchen Liu, Xiaoyan Zhu GeneTUKit: a software for document-level gene normalization. Bioinformatics 2011, 27(7): 1032-1033 Mattia Tomasoni, Minlie Huang Metadata-Aware Measures for Answer Summarization in Community Question Answering. ACL 2010 Fangtao Li, Minlie Huang, Xiaoyan Zhu Sentiment Analysis with Global Topics and Local Dependency. AAAI 2010 Chong Long, Minlie Huang, Xiaoyan Zhu, Ming Li Multi-Document Summarization by Information Distance. ICDM 2009 Fangtao Li, Yang Tang, Minlie Huang, Xiaoyan Zhu Answering Opinion Questions with Random Walks on Graphs. ACL 2009 Feng Jin, Minlie Huang, Zhiyong Lu, Xiaoyan Zhu Towards Automatic Generation of Gene Summary. NAACL-HLT 2009 Workshop Hongning Wang, Minlie Huang, Xiaoyan Zhu A Generative Probabilistic Model for Multi-Label Classification. ICDM 2008 Minlie Huang, Xiaoyan Zhu Combining convolution kernels defined on heterogeneous sub-structures. PAKDD 2007 Yu Hao, Xiaoyan Zhu, Minlie Huang, Ming Li Discovering Patterns to Extract Protein-Protein Interactions from the Literature: Part II. Bioinformatics 2005 21(15):3294-3300. Minlie Huang, Xiaoyan Zhu, Yu Hao, Donald G. Payan, Kunbin Qu, Ming Li Discovering patterns to extract protein-protein interactions from full texts. Bioinformatics 2004, 20(18): 3604-3612

推荐链接
down
wechat
bug