Dawei Yin

Orcid: 0000-0002-8846-2001

According to our database1, Dawei Yin authored at least 253 papers between 2009 and 2024.

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Bibliography

2024
An Optimization Model for Offline Scheduling Policy of Low-Density Parity-Check Codes.
IEEE Commun. Lett., August, 2024

GS<sup>2</sup>P: a generative pre-trained learning to rank model with over-parameterization for web-scale search.
Mach. Learn., July, 2024

SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations.
ACM Trans. Inf. Syst., May, 2024

Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng., April, 2024

Explainability for Large Language Models: A Survey.
ACM Trans. Intell. Syst. Technol., April, 2024

SMEC: Scene Mining for E-Commerce.
J. Comput. Sci. Technol., March, 2024

A Simple yet Effective Framework for Active Learning to Rank.
Mach. Intell. Res., February, 2024

Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract).
CoRR, 2024

Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract).
CoRR, 2024

LLMs + Persona-Plug = Personalized LLMs.
CoRR, 2024

GenCRF: Generative Clustering and Reformulation Framework for Enhanced Intent-Driven Information Retrieval.
CoRR, 2024

OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction.
CoRR, 2024

DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System.
CoRR, 2024

Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning.
CoRR, 2024

InverseCoder: Unleashing the Power of Instruction-Tuned Code LLMs with Inverse-Instruct.
CoRR, 2024

When Search Engine Services meet Large Language Models: Visions and Challenges.
CoRR, 2024

Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System.
CoRR, 2024

TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy.
CoRR, 2024

The Fall of ROME: Understanding the Collapse of LLMs in Model Editing.
CoRR, 2024

ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator.
CoRR, 2024

Tool Learning with Large Language Models: A Survey.
CoRR, 2024

Chain of Tools: Large Language Model is an Automatic Multi-tool Learner.
CoRR, 2024

COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models.
CoRR, 2024

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models.
CoRR, 2024

A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models.
CoRR, 2024

GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation.
CoRR, 2024

The Real, the Better: Aligning Large Language Models with Online Human Behaviors.
CoRR, 2024

Graph Machine Learning in the Era of Large Language Models (LLMs).
CoRR, 2024

XL<sup>2</sup>Bench: A Benchmark for Extremely Long Context Understanding with Long-range Dependencies.
CoRR, 2024

Density Evolution Analysis of Generalized Low-density Parity-check Codes under a Posteriori Probability Decoder.
CoRR, 2024

On the Performance of Low-complexity Decoders of LDPC and Polar Codes.
CoRR, 2024

MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification.
CoRR, 2024

Learning to Use Tools via Cooperative and Interactive Agents.
CoRR, 2024

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models.
CoRR, 2024

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization.
CoRR, 2024

Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks.
CoRR, 2024

Representation Learning with Large Language Models for Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Whole Page Unbiased Learning to Rank.
Proceedings of the ACM on Web Conference 2024, 2024

Large Language Models for Graphs: Progresses and Directions.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LLMRec: Large Language Models with Graph Augmentation for Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Text-Video Retrieval via Multi-Modal Hypergraph Networks.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

GraphGPT: Graph Instruction Tuning for Large Language Models.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

AgentIR: 1st Workshop on Agent-based Information Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

HiGPT: Heterogeneous Graph Language Model.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Survey of Large Language Models for Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

UrbanGPT: Spatio-Temporal Large Language Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

LT<sup>2</sup>R: Learning to Online Learning to Rank for Web Search.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Improving the Robustness of Large Language Models via Consistency Alignment.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG).
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Exploring Memorization in Fine-tuned Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search.
IEEE Trans. Knowl. Data Eng., December, 2023

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs.
SIGKDD Explor., December, 2023

Pre-trained Language Model-based Retrieval and Ranking for Web Search.
ACM Trans. Web, February, 2023

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

Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM.
CoRR, 2023

Towards Verifiable Text Generation with Evolving Memory and Self-Reflection.
CoRR, 2023

Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers.
CoRR, 2023

Embedding in Recommender Systems: A Survey.
CoRR, 2023

Enhancing Graph Neural Networks with Structure-Based Prompt.
CoRR, 2023

DiQAD: A Benchmark Dataset for End-to-End Open-domain Dialogue Assessment.
CoRR, 2023

Prompt Tuning for Multi-View Graph Contrastive Learning.
CoRR, 2023

Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback.
CoRR, 2023

Theoretical Bounds for the Size of Elementary Trapping Sets by Graphic Methods.
CoRR, 2023

I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.
CoRR, 2023

Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction.
CoRR, 2023

Unconfounded Propensity Estimation for Unbiased Ranking.
CoRR, 2023

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent.
CoRR, 2023

Layout-aware Webpage Quality Assessment.
CoRR, 2023

User Retention-oriented Recommendation with Decision Transformer.
Proceedings of the ACM Web Conference 2023, 2023

Model-based Unbiased Learning to Rank.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Disentangled Contrastive Collaborative Filtering.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Graph Enhanced BERT for Query Understanding.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Sequential Recommendation with User Evolving Preference Decomposition.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Tokenize for Generative Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Knowing Before Seeing: Incorporating Post-retrieval Information into Pre-retrieval Query Intention Classification.
Proceedings of the Knowledge Science, Engineering and Management, 2023

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

S<sup>2</sup>phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Discrete Document Representations in Web Search.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale.
Proceedings of the IEEE International Conference on Data Mining, 2023

DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Boosting Event Extraction with Denoised Structure-to-Text Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Feature-Level Debiased Natural Language Understanding.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Graph Neural Network Framework for Social Recommendations.
IEEE Trans. Knowl. Data Eng., 2022

Whole Page Unbiased Learning to Rank.
CoRR, 2022

Geometry Contrastive Learning on Heterogeneous Graphs.
CoRR, 2022

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?
CoRR, 2022

Practical Strategies of Active Learning to Rank for Web Search.
CoRR, 2022

ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval.
CoRR, 2022

Sequential Recommendation with User Evolving Preference Decomposition.
CoRR, 2022

A GNN-based Multi-task Learning Framework for Personalized Video Search.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Fast Semantic Matching via Flexible Contextualized Interaction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Contrastive Meta Learning with Behavior Multiplicity for Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Hypergraph Contrastive Collaborative Filtering.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Self-Supervised Learning for Recommender System.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

A Large Scale Search Dataset for Unbiased Learning to Rank.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A Question-Oriented Propagation Network for News Reading Comprehension.
Proceedings of the IEEE International Conference on Acoustics, 2022

On the Message Passing Efficiency of Polar and Low-Density Parity-Check Decoders.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification.
Proceedings of the Database Systems for Advanced Applications, 2022

Original Content Is All You Need! an Empirical Study on Leveraging Answer Summary for WikiHowQA Answer Selection Task.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Approximated Doubly Robust Search Relevance Estimation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Self-Supervised Learning for Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

On Length Divergence Bias in Textual Matching Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Sequential Recommendation with Adaptive Preference Disentanglement.
CoRR, 2021

Learning Reinforced Dynamic Representations for Sequential Recommendation.
CoRR, 2021

Exposing Length Divergence Bias of Textual Matching Models.
CoRR, 2021

Pre-trained Language Model for Web-scale Retrieval in Baidu Search.
CoRR, 2021

Data-Efficient Reinforcement Learning for Malaria Control.
CoRR, 2021

First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction.
CoRR, 2021

UserSim: User Simulation via Supervised GenerativeAdversarial Network.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Unbiased Learning to Rank in Feeds Recommendation.
Proceedings of the WSDM '21, 2021

Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Search for Good Irregular Low-Density Parity-Check Codes Via Graph Spectrum.
Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

Pre-trained Language Model based Ranking in Baidu Search.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2nd International Workshop on Industrial Recommendation Systems (IRS).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Pre-trained Language Model for Web-scale Retrieval in Baidu Search.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

SceneRec: Scene-Based Graph Neural Networks for Recommender Systems.
Proceedings of the 24th International Conference on Extending Database Technology, 2021

CLASS: A Novel Method for Chinese Legal Judgments Summarization.
Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021

Enhancing Question Generation with Commonsense Knowledge.
Proceedings of the Chinese Computational Linguistics - 20th China National Conference, 2021

MGNETS: Multi-Graph Neural Networks for Table Search.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network.
ACM Trans. Inf. Syst., 2020

Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020.
SIGIR Forum, 2020

Robust Reinforcement Learning with Wasserstein Constraint.
CoRR, 2020

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks.
CoRR, 2020

Keywords Generation Improves E-Commerce Session-based Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Hierarchical User Profiling for E-commerce Recommender Systems.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Neural Interactive Collaborative Filtering.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

User-Inspired Posterior Network for Recommendation Reason Generation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Time Matters: Sequential Recommendation with Complex Temporal Information.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Reinforcement Learning to Rank with Pairwise Policy Gradient.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Streaming Graph Neural Networks.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Modeling Topical Relevance for Multi-Turn Dialogue Generation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Exemplar Guided Neural Dialogue Generation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Game Recommendation Based on Dynamic Graph Convolutional Network.
Proceedings of the Database Systems for Advanced Applications, 2020

Whole-Chain Recommendations.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Deep reinforcement learning for search, recommendation, and online advertising: a survey.
SIGWEB Newsl., 2019

Toward Simulating Environments in Reinforcement Learning Based Recommendations.
CoRR, 2019

Model-Based Reinforcement Learning for Whole-Chain Recommendations.
CoRR, 2019

MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting.
Proceedings of the World Wide Web Conference, 2019

Graph Neural Networks for Social Recommendation.
Proceedings of the World Wide Web Conference, 2019

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

Multi-dimensional Graph Convolutional Networks.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Deep social collaborative filtering.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Off-policy Learning for Multiple Loggers.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Semi-supervised User Profiling with Heterogeneous Graph Attention Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Weight Loss Prediction in Social-Temporal Context.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Attribute-aware Sequence Network for Review Summarization.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Adaptive Parameterization for Neural Dialogue Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Reinforcement Learning to Diversify Top-N Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2019

A Dynamic Product-aware Learning Model for E-commerce Query Intent Understanding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Fine-Grained Product Categorization in E-commerce.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Spectral Clustering in Heterogeneous Information Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Optimizing Whole-Page Presentation for Web Search.
ACM Trans. Web, 2018

Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data.
IEEE Trans. Knowl. Data Eng., 2018

Reinforcement Learning for Online Information Seeking.
CoRR, 2018

Dynamic Graph Neural Networks.
CoRR, 2018

Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation.
CoRR, 2018

Linked Recurrent Neural Networks.
CoRR, 2018

Deep Reinforcement Learning for List-wise Recommendations.
CoRR, 2018

Hierarchical Variational Memory Network for Dialogue Generation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Micro Behaviors: A New Perspective in E-commerce Recommender Systems.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Multi-Dimensional Network Embedding with Hierarchical Structure.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Deep reinforcement learning for page-wise recommendations.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Learning Tag Dependencies for Sequence Tagging.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Knowledge Diffusion for Neural Dialogue Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Large-Scale Location Prediction for Web Pages.
IEEE Trans. Knowl. Data Eng., 2017

A Survey on Dialogue Systems: Recent Advances and New Frontiers.
SIGKDD Explor., 2017

Preserving Local and Global Information for Network Embedding.
CoRR, 2017

Streaming Recommender Systems.
Proceedings of the 26th International Conference on World Wide Web, 2017

Understanding and Predicting Weight Loss with Mobile Social Networking Data.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Beyond Ranking: Optimizing Whole-Page Presentation.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Leveraging User Interaction Signals for Web Image Search.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Learning Query and Document Relevance from a Web-scale Click Graph.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Ranking Relevance in Yahoo Search.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Positive-Unlabeled Learning in Streaming Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Timeline Summarization from Social Media with Life Cycle Models.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning to Rewrite Queries.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Recommendation with Social Dimensions.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Learning to rank related entities in Web search.
Neurocomputing, 2015

Rethink Targeting: Detect 'Smart Cheating' in Online Advertising through Causal Inference.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

What Size Should A Mobile Ad Be?
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

The 2nd workshop on Vertical Search Relevance at WSDM 2015.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Consistent Collective Matrix Completion under Joint Low Rank Structure.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Causal Inference via Sparse Additive Models with Application to Online Advertising.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data.
CoRR, 2014

Exploiting contextual factors for click modeling in sponsored search.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Estimating ad group performance in sponsored search.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Recommendation in Academia: A joint multi-relational model.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
Connecting comments and tags: improved modeling of social tagging systems.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Convex Collective Matrix Factorization.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Co-evolution of symptom-herb relationship.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Exploiting session-like behaviors in tag prediction.
Proceedings of the 20th International Conference on World Wide Web, 2011

Link formation analysis in microblogs.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Award prediction with temporal citation network analysis.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Tracking trends: incorporating term volume into temporal topic models.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Structural link analysis and prediction in microblogs.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Co-evolutionary genetic algorithm in symptom-herb relationship discovery.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Temporal Dynamics of User Interests in Tagging Systems.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Normalizing Microtext.
Proceedings of the Analyzing Microtext, 2011

2010
A probabilistic model for personalized tag prediction.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Imbalance and Concentration in k-NN Classification.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Document Segmentation Using Pixel-Accurate Ground Truth.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Time and space optimization of document content classifiers.
Proceedings of the Document Recognition and Retrieval XVII, 2010

Safely selecting subsets of training data.
Proceedings of the Ninth IAPR International Workshop on Document Analysis Systems, 2010

Choosing your own adventure: automatic taxonomy generation to permit many paths.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Studying herb-herb interaction for insomnia through the theory of complementarities.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

2009
A note on on-line broadcast scheduling with deadlines.
Inf. Process. Lett., 2009

Diversifying Search Results with Popular Subtopics.
Proceedings of The Eighteenth Text REtrieval Conference, 2009


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