Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search.

[BibT_eX]

[DOI]

Hengzhu Tang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Generative Retrieval for Book Search.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

M2oERank: Multi-Objective Mixture-of-Experts Enhanced Ranking for Satisfaction-Oriented Web Search.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

The Mirage of Model Editing: Revisiting Evaluation in the Wild.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LLMs + Persona-Plug = Personalized LLMs.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., November, 2024

SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., May, 2024

Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2024

Explainability for Large Language Models: A Survey.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., April, 2024

SMEC: Scene Mining for E-Commerce.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., March, 2024

When Search Engine Services Meet Large Language Models: Visions and Challenges.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2024

Information Discovery in E-commerce.

[BibT_eX]

[DOI]

Found. Trends Inf. Retr., 2024

JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework.

[BibT_eX]

[DOI]

CoRR, 2024

MAIR: A Massive Benchmark for Evaluating Instructed Retrieval.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Learning to Use Tools via Cooperative and Interactive Agents.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Representation Learning with Large Language Models for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Large Language Models for Graphs: Progresses and Directions.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LLMRec: Large Language Models with Graph Augmentation for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Text-Video Retrieval via Multi-Modal Hypergraph Networks.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

GraphGPT: Graph Instruction Tuning for Large Language Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

AgentIR: 1st Workshop on Agent-based Information Retrieval.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Cross-model Control: Improving Multiple Large Language Models in One-time Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Survey of Large Language Models for Graphs.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

UrbanGPT: Spatio-Temporal Large Language Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Learning to Use Tools via Cooperative and Interactive Agents.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MAIR: A Massive Benchmark for Evaluating Instructed Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Improving the Robustness of Large Language Models via Consistency Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Hyperbolic Contrastive Learning for Cross-Domain Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Towards Completeness-Oriented Tool Retrieval for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs.

[BibT_eX]

[DOI]

SIGKDD Explor., December, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing Graph Neural Networks with Structure-Based Prompt.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Prompt Tuning for Multi-View Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Disentangled Contrastive Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Graph Enhanced BERT for Query Understanding.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Sequential Recommendation with User Evolving Preference Decomposition.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Overview of the NTCIR-17 Unbiased Learning to Rank Evaluation 2 (ULTRE-2) Task.

[BibT_eX]

[DOI]

Proceedings of the 17th NTCIR Conference on Evaluation of Information Access Technologies, 2023

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Discrete Document Representations in Web Search.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Feature-Level Debiased Natural Language Understanding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Graph Neural Network Framework for Social Recommendations.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Geometry Contrastive Learning on Heterogeneous Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?

[BibT_eX]

[DOI]

CoRR, 2022

Sequential Recommendation with User Evolving Preference Decomposition.

[BibT_eX]

[DOI]

CoRR, 2022

Contrastive Meta Learning with Behavior Multiplicity for Recommendation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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 Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Learning Reinforced Dynamic Representations for Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

UserSim: User Simulation via Supervised GenerativeAdversarial Network.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks.

[BibT_eX]

[DOI]

Chao Huang

Jiashu Zhao

Dawei Yin

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

SceneRec: Scene-Based Graph Neural Networks for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020

Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2020

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

[BibT_eX]

[DOI]

SIGIR Forum, 2020

Keywords Generation Improves E-Commerce Session-based Recommendation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Neural Interactive Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Time Matters: Sequential Recommendation with Complex Temporal Information.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Reinforcement Learning to Rank with Pairwise Policy Gradient.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Streaming Graph Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Game Recommendation Based on Dynamic Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2020

Whole-Chain Recommendations.

[BibT_eX]

[DOI]

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

2019

Model-Based Reinforcement Learning for Whole-Chain Recommendations.

[BibT_eX]

[DOI]

CoRR, 2019

MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Graph Neural Networks for Social Recommendation.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Product-Aware Answer Generation in E-Commerce Question-Answering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Multi-dimensional Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Deep social collaborative filtering.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Off-policy Learning for Multiple Loggers.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Semi-supervised User Profiling with Heterogeneous Graph Attention Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Weight Loss Prediction in Social-Temporal Context.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Reinforcement Learning to Diversify Top-N Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2019

Spectral Clustering in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Dynamic Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Linked Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Reinforcement Learning for List-wise Recommendations.

[BibT_eX]

[DOI]

CoRR, 2018

Hierarchical Variational Memory Network for Dialogue Generation.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Multi-Dimensional Network Embedding with Hierarchical Structure.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial.

[BibT_eX]

[DOI]

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Learning Tag Dependencies for Sequence Tagging.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Knowledge Diffusion for Neural Dialogue Generation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Preserving Local and Global Information for Network Embedding.

[BibT_eX]

[DOI]

CoRR, 2017

Understanding and Predicting Weight Loss with Mobile Social Networking Data.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Dawei Yin

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...