Rui Yan

Orcid: 0000-0002-3356-6823

Affiliations:
  • Peking University, Center for Data Science, Beijing, China


According to our database1, Rui Yan authored at least 184 papers between 2012 and 2024.

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Bibliography

2024
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning.
CoRR, 2024

CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation.
CoRR, 2024

FlexiQA: Leveraging LLM's Evaluation Capabilities for Flexible Knowledge Selection in Open-domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Your Career Path Matters in Person-Job Fit.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Trend of AI Conference Convergence in Similarity: An Empirical Study Through Trans-Temporal Heterogeneous Graph.
IEEE Trans. Knowl. Data Eng., September, 2023

Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order.
ACM Trans. Inf. Syst., January, 2023

Are We Falling in a Middle-Intelligence Trap? An Analysis and Mitigation of the Reversal Curse.
CoRR, 2023

From Indeterminacy to Determinacy: Augmenting Logical Reasoning Capabilities with Large Language Models.
CoRR, 2023

CycleAlign: Iterative Distillation from Black-box LLM to White-box Models for Better Human Alignment.
CoRR, 2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.
CoRR, 2023

SCALE: Synergized Collaboration of Asymmetric Language Translation Engines.
CoRR, 2023

CharacterChat: Learning towards Conversational AI with Personalized Social Support.
CoRR, 2023

Enhancing Job Recommendation through LLM-based Generative Adversarial Networks.
CoRR, 2023

GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework.
CoRR, 2023

ResiDual: Transformer with Dual Residual Connections.
CoRR, 2023

Towards Personalized Review Summarization by Modeling Historical Reviews from Customer and Product Separately.
CoRR, 2023

Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order.
CoRR, 2023

Lower Risks, Better Choices: Stock Correlation Based Portfolio Selection in Stock Markets.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Learning Disentangled Representation via Domain Adaptation for Dialogue Summarization.
Proceedings of the ACM Web Conference 2023, 2023

EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Overview of the NLPCC 2023 Shared Task 9: User Feedback Prediction and Response Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

FABind: Fast and Accurate Protein-Ligand Binding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Delving into Global Dialogue Structures: Structure Planning Augmented Response Selection for Multi-turn Conversations.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Input-label Mapping with Demonstration Replay for In-context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Logic Unveils Truth, While Disguise Obscures It: Transition Logic Augmented Response Selection for Multi-Turn Dialogue.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Stylized Dialogue Generation with Feature-Guided Knowledge Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SORTIE: Dependency-Aware Symbolic Reasoning for Logical Data-to-text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

SSP: Self-Supervised Post-training for Conversational Search.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

DialoGPS: Dialogue Path Sampling in Continuous Semantic Space for Data Augmentation in Multi-Turn Conversations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Envisioning Future from the Past: Hierarchical Duality Learning for Multi-Turn Dialogue Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Causality-Guided Multi-Memory Interaction Network for Multivariate Stock Price Movement Prediction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Dialogue Summarization with Static-Dynamic Structure Fusion Graph.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

On the Compositional Generalization in Versatile Open-domain Dialogue.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Decouple knowledge from paramters for plug-and-play language modeling.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

ConvNTM: Conversational Neural Topic Model.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning towards Selective Data Augmentation for Dialogue Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Retrosynthesis Prediction with Local Template Retrieval.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning towards conversational AI: A survey.
AI Open, January, 2022

Deep Learning for Dialogue Systems: Chit-Chat and Beyond.
Found. Trends Inf. Retr., 2022

Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation.
CoRR, 2022

GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Passage Retrieval.
CoRR, 2022

HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Conversational Recommendation via Hierarchical Information Modeling.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Target-aware Abstractive Related Work Generation with Contrastive Learning.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Express in Knowledge-Grounded Conversation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Spatiotemporal Perturbation Based Dynamic Consistency for Semi-supervised Temporal Action Detection.
Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

RetroGraph: Retrosynthetic Planning with Graph Search.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Target-Side Input Augmentation for Sequence to Sequence Generation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Summarizing Procedural Text: Data and Approach.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

How to Represent Context Better? An Empirical Study on Context Modeling for Multi-turn Response Selection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Neural Machine Translation with Contrastive Translation Memories.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Scientific Paper Extractive Summarization Enhanced by Citation Graphs.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Personalized Query Suggestion with Searching Dynamic Flow for Online Recruitment.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Finding the Dominant Winning Ticket in Pre-Trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Multi-Response Awareness for Retrieval-Based Conversations: Respond with Diversity via Dynamic Representation Learning.
ACM Trans. Inf. Syst., 2021

Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-based Dialogues.
ACM Trans. Inf. Syst., 2021

Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based Chatbots.
ACM Trans. Inf. Syst., 2021

Meaningful Answer Generation of E-Commerce Question-Answering.
ACM Trans. Inf. Syst., 2021

Learning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog.
ACM Trans. Inf. Syst., 2021

Dialogue History Matters! Personalized Response Selectionin Multi-turn Retrieval-based Chatbots.
CoRR, 2021

How does Truth Evolve into Fake News? An Empirical Study of Fake News Evolution.
Proceedings of the Companion of The Web Conference 2021, 2021

Multilingual COVID-QA: Learning towards Global Information Sharing via Web Question Answering in Multiple Languages.
Proceedings of the WWW '21: The Web Conference 2021, 2021

WULAI-QA: Web Understanding and Learning with AI towards Document-based Question Answering against COVID-19.
Proceedings of the WSDM '21, 2021

Stylized Dialogue Generation with Multi-Pass Dual Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Survey on Response Selection for Retrieval-based Dialogues.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

BioGen: Generating Biography Summary under Table Guidance on Wikipedia.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Enhancing the Open-Domain Dialogue Evaluation in Latent Space.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Content Learning with Structure-Aware Writing: A Graph-Infused Dual Conditional Variational Autoencoder for Automatic Storytelling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Predictive Adversarial Learning from Positive and Unlabeled Data.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

What If Bots Feel Moods?
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Be Aware of the Hot Zone: A Warning System of Hazard Area Prediction to Intervene Novel Coronavirus COVID-19 Outbreak.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Context-to-Session Matching: Utilizing Whole Session for Response Selection in Information-Seeking Dialogue Systems.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Low-Resource Knowledge-Grounded Dialogue Generation.
Proceedings of the 8th International Conference on Learning Representations, 2020

Knowledge-Grounded Dialogue Generation with Pre-trained Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Selection and Generation: Learning towards Multi-Product Advertisement Post Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Simplifying Graph Attention Networks with Source-Target Separation.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Translation vs. Dialogue: A Comparative Analysis of Sequence-to-Sequence Modeling.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Plan-CVAE: A Planning-Based Conditional Variational Autoencoder for Story Generation.
Proceedings of the Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30, 2020

Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systems.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Query-to-Session Matching: Do NOT Forget History and Future during Response Selection for Multi-Turn Dialogue Systems.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Draft and Edit: Automatic Storytelling Through Multi-Pass Hierarchical Conditional Variational Autoencoder.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning Sense Representation from Word Representation for Unsupervised Word Sense Disambiguation (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Character-Centric Neural Model for Automated Story Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Transformation of Dense and Sparse Text Representations.
CoRR, 2019

RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search.
CoRR, 2019

Multilingual Dialogue Generation with Shared-Private Memory.
CoRR, 2019

Mimicking Human Process: Text Representation via Latent Semantic Clustering for Classification.
CoRR, 2019

Deep Chit-Chat: Deep Learning for Chatbots.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

BoFGAN: Towards A New Structure of Backward-or-Forward Generative Adversarial Nets.
Proceedings of the World Wide Web Conference, 2019

Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Product-Aware Answer Generation in E-Commerce Question-Answering.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble Model on Short-Text Conversation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Boosting Variational Generative Model via Condition Enhancing and Lexical-Editing.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Classification over Clustering: Augmenting Text Representation with Clusters Helps!
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Evaluating and Enhancing the Robustness of Retrieval-Based Dialogue Systems with Adversarial Examples.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Multilingual Dialogue Generation with Shared-Private Memory.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

GSN: A Graph-Structured Network for Multi-Party Dialogues.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning towards Abstractive Timeline Summarization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation.
Proceedings of the 7th International Conference on Learning Representations, 2019

Semi-supervised Text Style Transfer: Cross Projection in Latent Space.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Towards Effective and Interpretable Person-Job Fitting.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Plan-and-Write: Towards Better Automatic Storytelling.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning to Write Stories with Thematic Consistency and Wording Novelty.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Abstractive Text Summarization by Incorporating Reader Comments.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Team formation with influence maximization for influential event organization on social networks.
World Wide Web, 2018

Chat More If You Like: Dynamic Cue Words Planning to Flow Longer Conversations.
CoRR, 2018

Improving Matching Models with Contextualized Word Representations for Multi-turn Response Selection in Retrieval-based Chatbots.
CoRR, 2018

A NeuRetrieval Model for Human-Computer Conversations.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

When Less Is More: Using Less Context Information to Generate Better Utterances in Group Conversations.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Overview of the NLPCC 2018 Shared Task: Multi-turn Human-Computer Conversations.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Coupled Context Modeling for Deep Chit-Chat: Towards Conversations between Human and Computer.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Smarter Response with Proactive Suggestion: A New Generative Neural Conversation Paradigm.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

One "Ruler" for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning to Converse with Noisy Data: Generation with Calibration.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Aspect-based Question Generation.
Proceedings of the 6th International Conference on Learning Representations, 2018

Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Iterative Document Representation Learning Towards Summarization with Polishing.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Modeling discourse cohesion for discourse parsing via memory network.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Marrying Up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Scale Up Event Extraction Learning via Automatic Training Data Generation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Towards a Neural Conversation Model With Diversity Net Using Determinantal Point Processes.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Style Transfer in Text: Exploration and Evaluation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Which used product is more sellable? A time-aware approach.
Inf. Retr. J., 2017

A Constrained Sequence-to-Sequence Neural Model for Sentence Simplification.
CoRR, 2017

Joint Learning of Response Ranking and Next Utterance Suggestion in Human-Computer Conversation System.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

A Dual Attentive Neural Network Framework with Community Metadata for Answer Selection.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

Diversifying Neural Conversation Model with Maximal Marginal Relevance.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Towards Implicit Content-Introducing for Generative Short-Text Conversation Systems.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Joint Emoji Classification and Embedding Learning.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems.
CoRR, 2016

Socialized Language Model Smoothing via Bi-directional Influence Propagation on Social Networks.
Proceedings of the 25th International Conference on World Wide Web, 2016

StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

"Shall I Be Your Chat Companion?": Towards an Online Human-Computer Conversation System.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Tackling the Achilles Heel of Social Networks: Influence Propagation based Language Model Smoothing.
Proceedings of the 24th International Conference on World Wide Web, 2015

2012
Visualizing timelines: evolutionary summarization via iterative reinforcement between text and image streams.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012


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