Yongfeng Zhang

Orcid: 0000-0003-2633-8555

According to our database1, Yongfeng Zhang authored at least 248 papers between 2009 and 2024.

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Bibliography

2024
CLIP-Adapter: Better Vision-Language Models with Feature Adapters.
Int. J. Comput. Vis., February, 2024

A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability.
ACM Trans. Inf. Syst., January, 2024

Self-supervised Learning with Attention Mechanism for EEG-based seizure detection.
Biomed. Signal Process. Control., January, 2024

Towards LLM-RecSys Alignment with Textual ID Learning.
CoRR, 2024

AIOS: LLM Agent Operating System.
CoRR, 2024

Large Language Models in Biomedical and Health Informatics: A Bibliometric Review.
CoRR, 2024

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction.
CoRR, 2024

NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language Models.
CoRR, 2024

What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents.
CoRR, 2024

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities.
CoRR, 2024

EmojiCrypt: Prompt Encryption for Secure Communication with Large Language Models.
CoRR, 2024

TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution.
CoRR, 2024

Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents.
CoRR, 2024

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System.
CoRR, 2024

PAP-REC: Personalized Automatic Prompt for Recommendation Language Model.
CoRR, 2024

Neural Locality Sensitive Hashing for Entity Blocking.
CoRR, 2024

AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models.
CoRR, 2024

The Impact of Reasoning Step Length on Large Language Models.
CoRR, 2024

Prompt-Based Generative News Recommendation (PGNR): Accuracy and Controllability.
Proceedings of the Advances in Information Retrieval, 2024

GenRec: Large Language Model for Generative Recommendation.
Proceedings of the Advances in Information Retrieval, 2024

Language is All a Graph Needs.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

UP5: Unbiased Foundation Model for Fairness-aware Recommendation.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Probing into the Fairness of Large Language Models: A Case Study of ChatGPT.
Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

Fairness in Survival Outcome Prediction for Medical Treatments.
Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

2023
Deconfounded Causal Collaborative Filtering.
Trans. Recomm. Syst., December, 2023

Lightweight Seizure Detection Based on Multi-Scale Channel Attention.
Int. J. Neural Syst., December, 2023

Hybrid Network for Patient-Specific Seizure Prediction from EEG Data.
Int. J. Neural Syst., November, 2023

Personalized Prompt Learning for Explainable Recommendation.
ACM Trans. Inf. Syst., October, 2023

Fairness in Recommendation: Foundations, Methods, and Applications.
ACM Trans. Intell. Syst. Technol., October, 2023

Data Augmented Sequential Recommendation Based on Counterfactual Thinking.
IEEE Trans. Knowl. Data Eng., September, 2023

A High-Performance UVA Photodetector Based on Polycrystalline Perovskite MAPbCl3/TiO2 Nanorods Heterojunctions.
Sensors, August, 2023

Bias-Free Predictive Control of Power Converters with LCL Filter in Micro-Energy Systems.
IEEE Trans. Ind. Electron., June, 2023

On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance.
ACM Trans. Intell. Syst. Technol., April, 2023

Efficient Non-Sampling Graph Neural Networks.
Inf., 2023

Hybrid Attention Network for Epileptic EEG Classification.
Int. J. Neural Syst., 2023

Design of Healthcare Lighting in Medical Centers Based on Power Carrier Communication.
Int. J. Inf. Technol. Syst. Approach, 2023

NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes.
CoRR, 2023

LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem.
CoRR, 2023

War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars.
CoRR, 2023

Exploring Fine-tuning ChatGPT for News Recommendation.
CoRR, 2023

LightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation.
CoRR, 2023

FMMRec: Fairness-aware Multimodal Recommendation.
CoRR, 2023

A Content-Driven Micro-Video Recommendation Dataset at Scale.
CoRR, 2023

Large Language Models for Generative Recommendation: A Survey and Visionary Discussions.
CoRR, 2023

Natural Language is All a Graph Needs.
CoRR, 2023

OpenP5: Benchmarking Foundation Models for Recommendation.
CoRR, 2023

A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News.
CoRR, 2023

Fairness of ChatGPT.
CoRR, 2023

UP5: Unbiased Foundation Model for Fairness-aware Recommendation.
CoRR, 2023

Sparks of Artificial General Recommender (AGR): Early Experiments with ChatGPT.
CoRR, 2023

The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples.
CoRR, 2023

PBNR: Prompt-based News Recommender System.
CoRR, 2023

Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training.
CoRR, 2023

OpenAGI: When LLM Meets Domain Experts.
CoRR, 2023

Transferable Fairness for Cold-Start Recommendation.
CoRR, 2023

Causal Inference for Recommendation: Foundations, Methods and Applications.
CoRR, 2023

Sparks of Artificial General Recommender (AGR): Experiments with ChatGPT.
Algorithms, 2023


Exploration and Regularization of the Latent Action Space in Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Counterfactual Collaborative Reasoning.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

How to Index Item IDs for Recommendation Foundation Models.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Tutorial on Large Language Models for Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

OpenAGI: When LLM Meets Domain Experts.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ExplainableFold: Understanding AlphaFold Prediction with Explainable AI.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, and Fake News.
Proceedings of the International Workshop on News Recommendation and Analytics co-located with the 2023 ACM Conference on Recommender Systems (RecSys 2023), 2023

Causal Collaborative Filtering.
Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023

HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

VIP5: Towards Multimodal Foundation Models for Recommendation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Prompt Distillation for Efficient LLM-based Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
An Improved Online Self-Calibration Method Utilizing Angular Velocity Observation for Ultra High Accuracy PIGA-Based IMU.
Sensors, 2022

Improving neural topic modeling via Sinkhorn divergence.
Inf. Process. Manag., 2022

Discover, Explanation, Improvement: Automatic Slice Detection Framework for Natural Language Processing.
CoRR, 2022

Causal Structure Learning with Recommendation System.
CoRR, 2022

Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems.
CoRR, 2022

GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations.
CoRR, 2022

A Survey on Trustworthy Recommender Systems.
CoRR, 2022

Fairness in Recommendation: A Survey.
CoRR, 2022

Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation.
CoRR, 2022

Neural Logic Analogy Learning.
CoRR, 2022

Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning.
CoRR, 2022

ExpScore: Learning Metrics for Recommendation Explanation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Path Language Modeling over Knowledge Graphsfor Explainable Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Graph Collaborative Reasoning.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

AutoLossGen: Automatic Loss Function Generation for Recommender Systems.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

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

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5).
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Fairness-aware Federated Matrix Factorization.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Causal factorization machine for robust recommendation.
Proceedings of the JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20, 2022

Assessing Combinational Generalization of Language Models in Biased Scenarios.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Data-Efficient Concept Extraction from Pre-trained Language Models for Commonsense Explanation Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Backstepping Terminal Sliding Mode Control of FOG Inertial Platform Stability Loop Based on Extended State Observer.
Proceedings of the 7th International Conference on Control, Robotics and Cybernetics, 2022

Dynamic Causal Collaborative Filtering.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS).
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Improving Personalized Explanation Generation through Visualization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Conversational Search and Recommendation: Introduction to the Special Issue.
ACM Trans. Inf. Syst., 2021

Initial Assessment of Galileo Triple-Frequency Ambiguity Resolution between Reference Stations in the Hong Kong Area.
Remote. Sens., 2021

From Kepler to Newton: Explainable AI for Science Discovery.
CoRR, 2021

Deconfounded Causal Collaborative Filtering.
CoRR, 2021

CLIP-Adapter: Better Vision-Language Models with Feature Adapters.
CoRR, 2021

Counterfactual Evaluation for Explainable AI.
CoRR, 2021

Problem Learning: Towards the Free Will of Machines.
CoRR, 2021

Variation Control and Evaluation for Generative SlateRecommendations.
CoRR, 2021

Learning to Explain Recommendations.
CoRR, 2021

RomeBERT: Robust Training of Multi-Exit BERT.
CoRR, 2021

Discrete Knowledge Graph Embedding based on Discrete Optimization.
CoRR, 2021

Generate Natural Language Explanations for Recommendation.
CoRR, 2021

Variation Control and Evaluation for Generative Slate Recommendations.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Efficient Non-Sampling Knowledge Graph Embedding.
Proceedings of the WWW '21: The Web Conference 2021, 2021

User-oriented Fairness in Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Neural Collaborative Reasoning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021).
Proceedings of the WSDM '21, 2021

Towards Long-term Fairness in Recommendation.
Proceedings of the WSDM '21, 2021

WSDM 2021 Tutorial on Conversational Recommendation Systems.
Proceedings of the WSDM '21, 2021

CSR 2021: The 1st International Workshop on Causality in Search and Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Counterfactual Data-Augmented Sequential Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

FedCT: Federated Collaborative Transfer for Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

EXTRA: Explanation Ranking Datasets for Explainable Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Tutorial on Fairness of Machine Learning in Recommender Systems.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Towards Personalized Fairness based on Causal Notion.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

EX3: Explainable Attribute-aware Item-set Recommendations.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Faithfully Explainable Recommendation via Neural Logic Reasoning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

IUI 2021 Tutorial on Conversational Recommendation Systems.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Counterfactual Review-based Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Counterfactual Explainable Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Personalized Transformer for Explainable Recommendation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Efficient Neural Matrix Factorization without Sampling for Recommendation.
ACM Trans. Inf. Syst., 2020

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

Explainable Product Search with a Dynamic Relation Embedding Model.
ACM Trans. Inf. Syst., 2020

A Novel Method for Mitigating the GPS Multipath Effect Based on a Multi-Point Hemispherical Grid Model.
Remote. Sens., 2020

FairCharge: A Data-Driven Fairness-Aware Charging Recommendation System for Large-Scale Electric Taxi Fleets.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Proposal for an input interface and multi-output structures of all-spin logic circuits based on magnetic tunnel junction.
IET Circuits Devices Syst., 2020

Explainable Recommendation: A Survey and New Perspectives.
Found. Trends Inf. Retr., 2020

COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce.
CoRR, 2020

Neural-Symbolic Reasoning over Knowledge Graph for Multi-stage Explainable Recommendation.
CoRR, 2020

Learning Post-Hoc Causal Explanations for Recommendation.
CoRR, 2020

Towards Controllable Explanation Generation for Recommender Systems via Neural Template.
Proceedings of the Companion of The 2020 Web Conference 2020, 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

EARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Understanding Echo Chambers in E-commerce Recommender Systems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Learning Personalized Risk Preferences for Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Fairness-Aware Explainable Recommendation over Knowledge Graphs.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Tutorial on Conversational Recommendation Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

HID: Hierarchical Multiscale Representation Learning for Information Diffusion.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Representation Learning Approach to Animal Biodiversity Conservation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

E-commerce Recommendation with Weighted Expected Utility.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

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

Generate Neural Template Explanations for Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Quantitative and Comparative Study of Network-Level Efficiency for Cloud Storage Services.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2019

Attentive Aspect Modeling for Review-Aware Recommendation.
ACM Trans. Inf. Syst., 2019

Adversarial Distillation for Efficient Recommendation with External Knowledge.
ACM Trans. Inf. Syst., 2019

Special issue on multimedia recommendation and multi-modal data analysis.
Multim. Syst., 2019

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

Neural Logic Networks.
CoRR, 2019

Similarity Driven Approximation for Text Analytics.
CoRR, 2019

Personalized Context-aware Re-ranking for E-commerce Recommender Systems.
CoRR, 2019

Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems.
CoRR, 2019

Finite-Time Trajectory Tracking Control for Overhead Crane Systems Subject to Unknown Disturbances.
IEEE Access, 2019

Image Recommendation With Reciprocal Social Influence.
IEEE Access, 2019

Visual Semantic Image Recommendation.
IEEE Access, 2019

WWW'19 Tutorial on Explainable Recommendation and Search.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Value-aware Recommendation based on Reinforcement Profit Maximization.
Proceedings of the World Wide Web Conference, 2019

Neural Variational Correlated Topic Modeling.
Proceedings of the World Wide Web Conference, 2019

Maximizing Marginal Utility per Dollar for Economic Recommendation.
Proceedings of the World Wide Web Conference, 2019

EARS 2019: The 2nd International Workshop on ExplainAble Recommendation and Search.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

SIGIR 2019 Tutorial on Explainable Recommendation and Search.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation.
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

Unified Collaborative Filtering over Graph Embeddings.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

BERT with History Answer Embedding for Conversational Question Answering.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Personalized re-ranking for recommendation.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

RMSE: Workshop on Recommendation in Multi-stakeholder Environments.
Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Recommendation in multistakeholder environments.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Tutorial on Explainable Recommendation and Search.
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

Adaptive Feature Sampling for Recommendation with Missing Content Feature Values.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Attentive History Selection for Conversational Question Answering.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Conversational Product Search Based on Negative Feedback.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

User Intent Prediction in Information-seeking Conversations.
Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, 2019

Answer Interaction in Non-factoid Question Answering Systems.
Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, 2019

Model-Free Adaptive Integral Sliding Mode Control for 4-DOF Tower Crane Systems.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019

Dynamic Explainable Recommendation Based on Neural Attentive Models.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Report on EARS'18: 1st International Workshop on ExplainAble Recommendation and Search.
SIGIR Forum, 2018

Triple-Frequency Code-Phase Combination Determination: A Comparison with the Hatch-Melbourne-Wübbena Combination Using BDS Signals.
Remote. Sens., 2018

Learning over Knowledge-Base Embeddings for Recommendation.
CoRR, 2018

Visually Explainable Recommendation.
CoRR, 2018

Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation.
Algorithms, 2018

IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Sequential Recommendation with User Memory Networks.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

SIGIR 2018 Workshop on ExplainAble Recommendation and Search (EARS 2018).
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

Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Analyzing and Characterizing User Intent in Information-seeking Conversations.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Towards Conversational Search and Recommendation: System Ask, User Respond.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Detecting Stress Based on Social Interactions in Social Networks.
IEEE Trans. Knowl. Data Eng., 2017

Explainable Recommendation: Theory and Applications.
CoRR, 2017

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

Multi-Product Utility Maximization for Economic Recommendation.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Personalized Key Frame Recommendation.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Learning a Hierarchical Embedding Model for Personalized Product Search.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Fairness-Aware Group Recommendation with Pareto-Efficiency.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Give me Something Unknown: Incorporate Exploration Preference in Cognition into Recommender System.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Boosting Moving Average Reversion Strategy for Online Portfolio Selection: A Meta-learning Approach.
Proceedings of the Database Systems for Advanced Applications, 2017

Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Learning and Transferring Social and Item Visibilities for Personalized Recommendation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Disparity-Aware Group Formation for Recommendation.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Joint Factorizational Topic Models for Cross-City Recommendation.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images.
Proceedings of the Information Retrieval Technology, 2017

Probabilistic Local Matrix Factorization Based on User Reviews.
Proceedings of the Information Retrieval Technology, 2017

2016
Deep learning and interpolation for featured-based pattern classification.
PhD thesis, 2016

Economic Recommendation with Surplus Maximization.
Proceedings of the 25th International Conference on World Wide Web, 2016

HLBPR: A Hybrid Local Bayesian Personal Ranking Method.
Proceedings of the 25th International Conference on World Wide Web, 2016

Learning to Rank Features for Recommendation over Multiple Categories.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

2015
Boost Phrase-level Polarity Labelling with Review-level Sentiment Classification.
CoRR, 2015

Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis.
Proceedings of the 24th International Conference on World Wide Web, 2015

Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Exploration of Semantic-aware Approach for Contextual Suggestion Using Knowledge from The Open Web.
Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

Catch the Black Sheep: Unified Framework for Shilling Attack Detection Based on Fraudulent Action Propagation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Interpolation aided fuzzy image classification.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Task-based recommendation on a web-scale.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Do users rate or review?: boost phrase-level sentiment labeling with review-level sentiment classification.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Explicit factor models for explainable recommendation based on phrase-level sentiment analysis.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Browser-oriented universal cross-site recommendation and explanation based on user browsing logs.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Interpolating Deep Spatio-Temporal Inference Network features for image classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Understanding the Sparsity: Augmented Matrix Factorization with Sampled Constraints on Unobservables.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Localized matrix factorization for recommendation based on matrix block diagonal forms.
Proceedings of the 22nd International World Wide Web Conference, 2013

Interpolating destin features for image classification.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

Improve collaborative filtering through bordered block diagonal form matrices.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

A Unified Framework for Emotional Elements Extraction Based on Finite State Matching Machine.
Proceedings of the Natural Language Processing and Chinese Computing, 2013

A general collaborative filtering framework based on matrix bordered block diagonal forms.
Proceedings of the 24th ACM Conference on Hypertext and Social Media (part of ECRC), 2013

2012
Dynamics of a computational affective model inspired by Dörner's PSI theory.
Cogn. Syst. Res., 2012

2010
Investigating Characteristics of Non-click Behavior Using Query Logs.
Proceedings of the Information Retrieval Technology, 2010

2009
Research on Turn Ratio of Magnetic Valve Type Controlled Reactor Based on Bifurcation Theory.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009


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