Jiafeng Guo

Orcid: 0000-0002-9509-8674

Affiliations:
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China


According to our database1, Jiafeng Guo authored at least 293 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Listwise Generative Retrieval Models via a Sequential Learning Process.
ACM Trans. Inf. Syst., September, 2024

A mutually enhanced multi-scale relation-aware graph convolutional network for argument pair extraction.
J. Intell. Inf. Syst., April, 2024

CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense.
CoRR, 2024

A Claim Decomposition Benchmark for Long-form Answer Verification.
CoRR, 2024

On the Capacity of Citation Generation by Large Language Models.
CoRR, 2024

Generative Retrieval Meets Multi-Graded Relevance.
CoRR, 2024

QUITO-X: An Information Bottleneck-based Compression Algorithm with Cross-Attention.
CoRR, 2024

Contextual Dual Learning Algorithm with Listwise Distillation for Unbiased Learning to Rank.
CoRR, 2024

Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?
CoRR, 2024

QUITO: Accelerating Long-Context Reasoning through Query-Guided Context Compression.
CoRR, 2024

Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective.
CoRR, 2024

Temporal Knowledge Graph Question Answering: A Survey.
CoRR, 2024

Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective.
CoRR, 2024

Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy.
CoRR, 2024

KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction.
CoRR, 2024

CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks.
CoRR, 2024

A Unified Causal View of Instruction Tuning.
CoRR, 2024

Recent Advances in Generative Information Retrieval.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Are Large Language Models Good at Utility Judgments?
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Recent Advances in Generative Information Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Multi-granular Adversarial Attacks against Black-box Neural Ranking Models.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Robust Information Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Retrieval-Augmented Code Generation for Universal Information Extraction.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

An In-Context Schema Understanding Method for Knowledge Base Question Answering.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation.
Proceedings of the Advances in Information Retrieval, 2024

Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning.
Proceedings of the Advances in Information Retrieval, 2024

Classifier Guidance Enhances Diffusion-Based Adversarial Purification by Preserving Predictive Information.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Class-Incremental Few-Shot Event Detection.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Few-shot Link Prediction on Hyper-relational Facts.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Nested Event Extraction upon Pivot Element Recognition.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Selective Temporal Knowledge Graph Reasoning.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

GaQR: An Efficient Generation-augmented Question Rewriter.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models.
ACM Trans. Inf. Syst., October, 2023

Visual Reasoning: From State to Transformation.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

CNIM-GCN: Consensus Neighbor Interaction-based Multi-channel Graph Convolutional Networks.
Expert Syst. Appl., September, 2023

What is Event Knowledge Graph: A Survey.
IEEE Trans. Knowl. Data Eng., July, 2023

Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation.
Inf. Sci., May, 2023

Are Neural Ranking Models Robust?
ACM Trans. Inf. Syst., April, 2023

Exploring rich structure information for aspect-based sentiment classification.
J. Intell. Inf. Syst., February, 2023

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
AI Open, January, 2023

Link Prediction on N-ary Relational Data Based on Relatedness Evaluation.
IEEE Trans. Knowl. Data Eng., 2023

Generating effective label description for label-aware sentiment classification.
Expert Syst. Appl., 2023

CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval.
CoRR, 2023

An In-Context Schema Understanding Method for Knowledge Base Question Answering.
CoRR, 2023

CIR at the NTCIR-17 ULTRE-2 Task.
CoRR, 2023

Nested Event Extraction upon Pivot Element Recogniton.
CoRR, 2023

ProtoEM: A Prototype-Enhanced Matching Framework for Event Relation Extraction.
CoRR, 2023

L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations.
CoRR, 2023

On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective.
CoRR, 2023

Few-shot Link Prediction on N-ary Facts.
CoRR, 2023

Visual Transformation Telling.
CoRR, 2023

Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search.
CoRR, 2023

Feature-Enhanced Network with Hybrid Debiasing Strategies for Unbiased Learning to Rank.
CoRR, 2023

Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Recent Advances in Generative Information Retrieval.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

A Comparative Study of Training Objectives for Clarification Facet Generation.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Temporal Knowledge Graph Reasoning Based on N-tuple Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Prompt Tuning with Contradictory Intentions for Sarcasm Recognition.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Inducing Causal Structure for Abstractive Text Summarization.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Continual Learning for Generative Retrieval over Dynamic Corpora.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Semantic Structure Enhanced Event Causality Identification.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Learning Adversarially Robust Sparse Networks via Weight Reparameterization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Rich Event Modeling for Script Event Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Review on Question Generation from Natural Language Text.
ACM Trans. Inf. Syst., 2022

Semantic Models for the First-Stage Retrieval: A Comprehensive Review.
ACM Trans. Inf. Syst., 2022

Time enhanced graph neural networks for session-based recommendation.
Knowl. Based Syst., 2022

Pre-training Methods in Information Retrieval.
Found. Trends Inf. Retr., 2022

Visual Named Entity Linking: A New Dataset and A Baseline.
CoRR, 2022

LegoNet: A Fast and Exact Unlearning Architecture.
CoRR, 2022

A Contrastive Pre-training Approach to Learn Discriminative Autoencoder for Dense Retrieval.
CoRR, 2022

Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

DFS-NER: Description Enhanced Few-shot NER via Prompt Learning and Meta-Learning.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

GERE: Generative Evidence Retrieval for Fact Verification.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Visual Named Entity Linking: A New Dataset and A Baseline.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Discriminative Language Model via Self-Teaching for Dense Retrieval.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations.
Proceedings of the Information Retrieval - 28th China Conference, 2022

Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering.
Neural Process. Lett., 2021

Exploring user historical semantic and sentiment preference for microblog sentiment classification.
Neurocomputing, 2021

Information retrieval: a view from the Chinese IR community.
Frontiers Comput. Sci., 2021

GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for aspect-based sentiment classification.
Expert Syst. Appl., 2021

Interpreting Dense Retrieval as Mixture of Topics.
CoRR, 2021

Pre-training Methods in Information Retrieval.
CoRR, 2021

A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict.
CoRR, 2021

Toward the Understanding of Deep Text Matching Models for Information Retrieval.
CoRR, 2021

Feature Rescaling and Fusion for Tiny Object Detection.
IEEE Access, 2021

Att-FPA: Boosting Feature Perceive for Object Detection.
IEEE Access, 2021

A Linguistic Study on Relevance Modeling in Information Retrieval.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Beyond Relevance: Trustworthy Answer Selection via Consensus Verification.
Proceedings of the WSDM '21, 2021

PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval.
Proceedings of the WSDM '21, 2021

Optimizing Dense Retrieval Model Training with Hard Negatives.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

A Discriminative Semantic Ranker for Question Retrieval.
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

Integrating Deep Event-Level and Script-Level Information for Script Event Prediction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Transformation Driven Visual Reasoning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

FedMatch: Federated Learning Over Heterogeneous Question Answering Data.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning to Truncate Ranked Lists for Information Retrieval.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Sketch and Customize: A Counterfactual Story Generator.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Dual-factor Generation Model for Conversation.
ACM Trans. Inf. Syst., 2020

A Deep Look into neural ranking models for information retrieval.
Inf. Process. Manag., 2020

Multi-view image clustering based on sparse coding and manifold consensus.
Neurocomputing, 2020

Match<sup>2</sup>: A Matching over Matching Model for Similar Question Identification.
CoRR, 2020

IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Match²: A Matching over Matching Model for Similar Question Identification.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation.
Proceedings of the 37th International Conference on Machine Learning, 2020

Kaleido: An Efficient Out-of-core Graph Mining System on A Single Machine.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Beyond Language: Learning Commonsense from Images for Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

CIDetector: Semi-Supervised Method for Multi-Topic Confidential Information Detection.
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

Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Query Understanding via Intent Description Generation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Continual Domain Adaptation for Machine Reading Comprehension.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Ranking Enhanced Dialogue Generation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Bidirectional Dependency-Guided Attention for Relation Extraction.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

NeuInfer: Knowledge Inference on N-ary Facts.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Structure Learning for Headline Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation.
IEEE Trans. Knowl. Data Eng., 2019

Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction.
J. Comput. Sci. Technol., 2019

Trend-Smooth: Accelerate Asynchronous SGD by Smoothing Parameters Using Parameter Trends.
IEEE Access, 2019

DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Outline Generation: Understanding the Inherent Content Structure of Documents.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Hierarchical Matching Network for Crime Classification.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Controlling Risk of Web Question Answering.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Multi-graph Convolution Network with Jump Connection for Event Detection.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

A High Performance Text Vector Similarity Search Method Based on Overlapping Degree.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Event Detection with Multi-Order Graph Convolution and Aggregated Attention.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Understanding and Improving Neural Ranking Models from a Term Dependence View.
Proceedings of the Information Retrieval Technology, 2019

ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

An Adaptive Framework for Conversational Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Differentiated Distribution Recovery for Neural Text Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Teaching Machines to Extract Main Content for Machine Reading Comprehension.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Neural information retrieval: introduction to the special issue.
Inf. Retr. J., 2018

Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations.
CoRR, 2018

Sequence Tagging with Policy-Value Networks and Tree Search.
CoRR, 2018

Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Modeling Diverse Relevance Patterns in Ad-hoc Retrieval.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Unbiased Learning to Rank with Unbiased Propensity Estimation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Learning a Deep Listwise Context Model for Ranking Refinement.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi Page Search with Reinforcement Learning to Rank.
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server.
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

Aggregating Neural Word Embeddings for Document Representation.
Proceedings of the Advances in Information Retrieval, 2018

Spherical Paragraph Model.
Proceedings of the Advances in Information Retrieval, 2018

Multiple Manifold Regularized Sparse Coding for Multi-View Image Clustering.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Question Headline Generation for News Articles.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Neighborhood Voting: A Novel Search Scheme for Hashing.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Generative Paragraph Vector.
Proceedings of the Information Retrieval - 24th China Conference, 2018

A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval.
Proceedings of the Information Retrieval - 24th China Conference, 2018

Hierarchical Answer Selection Framework for Multi-passage Machine Reading Comprehension.
Proceedings of the Information Retrieval - 24th China Conference, 2018

Text Matching with Monte Carlo Tree Search.
Proceedings of the Information Retrieval - 24th China Conference, 2018

A Comparison Between Term-Based and Embedding-Based Methods for Initial Retrieval.
Proceedings of the Information Retrieval - 24th China Conference, 2018

RI-Match: Integrating Both Representations and Interactions for Deep Semantic Matching.
Proceedings of the Information Retrieval Technology, 2018

Learning to Control the Specificity in Neural Response Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Tailored Sequence to Sequence Models to Different Conversation Scenarios.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Directly Optimize Diversity Evaluation Measures: A New Approach to Search Result Diversification.
ACM Trans. Intell. Syst. Technol., 2017

Report on the Second SIGIR Workshop on Neural Information Retrieval (Neu-IR'17).
SIGIR Forum, 2017

Query ranking model for search engine query recommendation.
Int. J. Mach. Learn. Cybern., 2017

Modeling users' search sessions for high utility query recommendation.
Inf. Retr. J., 2017

Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation.
CoRR, 2017

A Deep Investigation of Deep IR Models.
CoRR, 2017

MatchZoo: A Toolkit for Deep Text Matching.
CoRR, 2017

Adapting Markov Decision Process for Search Result Diversification.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Reinforcement Learning to Rank with Markov Decision Process.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17).
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Gbot at the NTCIR-13 STC-2 Task.
Proceedings of the 13th NTCIR Conference, 2017

DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Learning Visual Features from Snapshots for Web Search.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile.
Proceedings of the Information Retrieval - 23rd China conference, 2017

Dynamic-K Recommendation with Personalized Decision Boundary.
Proceedings of the Information Retrieval - 23rd China conference, 2017

Academic Access Data Analysis for Literature Recommendation.
Proceedings of the Information Retrieval - 23rd China conference, 2017

Locally Smoothed Neural Networks.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
Report on the SIGIR 2016 Workshop on Neural Information Retrieval (Neu-IR).
SIGIR Forum, 2016

An incremental model on search engine query recommendation.
Neurocomputing, 2016

Semantic Regularities in Document Representations.
CoRR, 2016

A Study of MatchPyramid Models on Ad-hoc Retrieval.
CoRR, 2016

Your Cart tells You: Inferring Demographic Attributes from Purchase Data.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Modeling Document Novelty with Neural Tensor Network for Search Result Diversification.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Improving Language Estimation with the Paragraph Vector Model for Ad-hoc Retrieval.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Sparse Word Embeddings Using ℓ<sub>1</sub> Regularized Online Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Analysis of the Paragraph Vector Model for Information Retrieval.
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval.
Proceedings of the Advances in Information Retrieval, 2016

Multi-task Representation Learning for Demographic Prediction.
Proceedings of the Advances in Information Retrieval, 2016

aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Ease the Process of Machine Learning with Dataflow.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Semantic Matching by Non-Linear Word Transportation for Information Retrieval.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

A Deep Relevance Matching Model for Ad-hoc Retrieval.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Factorizing Sequential and Historical Purchase Data for Basket Recommendation.
Proceedings of the Information Retrieval Technology, 2016

A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Text Matching as Image Recognition.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

SPAN: Understanding a Question with Its Support Answers.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Which noise affects algorithm robustness for learning to rank.
Inf. Retr. J., 2015

Recommending high-utility search engine queries via a query-recommending model.
Neurocomputing, 2015

Topic-focused Dynamic Information Filtering in Social Media.
CoRR, 2015

Structural Learning of Diverse Ranking.
CoRR, 2015

Listwise Approach for Rank Aggregation in Crowdsourcing.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Learning Hierarchical Representation Model for NextBasket Recommendation.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Next Basket Recommendation with Neural Networks.
Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Modeling Parameter Interactions in Ranking SVM.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

A Probabilistic Model for Bursty Topic Discovery in Microblogs.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
BTM: Topic Modeling over Short Texts.
IEEE Trans. Knowl. Data Eng., 2014

Position-Aware ListMLE: A Sequential Learning Process for Ranking.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Learning for search result diversification.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

What makes data robust: a data analysis in learning to rank.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Local Linear Matrix Factorization for Document Modeling.
Proceedings of the Advances in Information Retrieval, 2014

Modeling Retail Transaction Data for Personalized Shopping Recommendation.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Personalized paper recommendation in online social scholar system.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

OpenKN: An open knowledge computational engine for network big data.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Name Disambiguation by Collective Classification.
Proceedings of the Information Retrieval Technology, 2014

2013
Ranking on Data Manifold with Sink Points.
IEEE Trans. Knowl. Data Eng., 2013

A biterm topic model for short texts.
Proceedings of the 22nd International World Wide Web Conference, 2013

Group sparse topical coding: from code to topic.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

A Blending Method for Automated Social Tagging.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Stochastic Rank Aggregation.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Informational friend recommendation in social media.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Collaborative factorization for recommender systems.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

A Novel Relational Learning-to-Rank Approach for Topic-Focused Multi-document Summarization.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Recommending High Utility Query via Session-Flow Graph.
Proceedings of the Advances in Information Retrieval, 2013

Is top-k sufficient for ranking?
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Find me opinion sources in blogosphere: a unified framework for opinionated blog feed retrieval.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Top-k learning to rank: labeling, ranking and evaluation.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

More than relevance: high utility query recommendation by mining users' search behaviors.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Clustering short text using Ncut-weighted non-negative matrix factorization.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

A new probabilistic model for top-k ranking problem.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Exploring and Exploiting Proximity Statistic for Information Retrieval Model.
Proceedings of the Information Retrieval Technology, 2012

2011
Exploring the structural regularities in networks
CoRR, 2011

A unified framework for recommending diverse and relevant queries.
Proceedings of the 20th International Conference on World Wide Web, 2011

Bipartite Graph Based Entity Ranking for Related Entity Finding.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011

Decayed DivRank for Guided Summarization.
Proceedings of the Fourth Text Analysis Conference, 2011

Decayed DivRank: capturing relevance, diversity and prestige in information networks.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Multi-Select Faceted Navigation Based on Minimum Description Length Principle.
Proceedings of the IJCAI 2011, 2011

Supervised Lazy Random Walk for Topic-Focused Multi-document Summarization.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Context-aware query recommendation by learning high-order relation in query logs.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Intent-aware query similarity.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Query Recommendation by Modelling the Query-Flow Graph.
Proceedings of the Information Retrieval Technology, 2011

2010
ICTNET at Entity Track TREC 2010.
Proceedings of The Nineteenth Text REtrieval Conference, 2010

TMSP: Topic Guided Manifold Ranking with Sink Points for Guided Summarization.
Proceedings of the Third Text Analysis Conference, 2010

Social Recommendation with Interpersonal Influence.
Proceedings of the ECAI 2010, 2010

A structured approach to query recommendation with social annotation data.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Manifold ranking with sink points for update summarization.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Query Classification Based on Regularized Correlated Topic Model.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track.
Proceedings of The Eighteenth Text REtrieval Conference, 2009

Named entity recognition in query.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

A Clustering Framework Based on Adaptive Space Mapping and Rescaling.
Proceedings of the Information Retrieval Technology, 2009

2008
A unified and discriminative model for query refinement.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

2006
PSM: A New Re-Ranking Algorithm for Named-Page.
Proceedings of the Fifteenth Text REtrieval Conference, 2006


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