Defu Lian

Orcid: 0000-0002-3507-9607

According to our database1, Defu Lian authored at least 304 papers between 2011 and 2025.

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Bibliography

2025
Multi-View Heterogeneous HyperGNN for Heterophilic Knowledge Combination Prediction.
IEEE Trans. Big Data, October, 2025

Automated Sparse and Low-Rank Shallow Autoencoders for Recommendation.
Trans. Recomm. Syst., September, 2025

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 2.
ACM Trans. Inf. Syst., September, 2025

EduStudio: towards a unified library for student cognitive modeling.
Frontiers Comput. Sci., August, 2025

FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model.
CoRR, August, 2025

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.
ACM Trans. Inf. Syst., July, 2025

Efficient Machine Unlearning via Influence Approximation.
CoRR, July, 2025

M<sup>2</sup>-MFP: A Multi-Scale and Multi-Level Memory Failure Prediction Framework for Reliable Cloud Infrastructure.
CoRR, July, 2025

CoSteer: Collaborative Decoding-Time Personalization via Local Delta Steering.
CoRR, July, 2025

Dual Test-Time Training for Out-of-Distribution Recommender System.
IEEE Trans. Knowl. Data Eng., June, 2025

OmniGen2: Exploration to Advanced Multimodal Generation.
CoRR, June, 2025

NDCG-Consistent Softmax Approximation with Accelerated Convergence.
CoRR, June, 2025

How to Unlock Time Series Editing? Diffusion-Driven Approach with Multi-Grained Control.
CoRR, June, 2025

What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning.
CoRR, May, 2025

GenKI: Enhancing Open-Domain Question Answering with Knowledge Integration and Controllable Generation in Large Language Models.
CoRR, May, 2025

The Real Barrier to LLM Agent Usability is Agentic ROI.
CoRR, May, 2025

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning.
CoRR, May, 2025

Towards A Generalist Code Embedding Model Based On Massive Data Synthesis.
CoRR, May, 2025

ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution.
CoRR, May, 2025

Advancing and Benchmarking Personalized Tool Invocation for LLMs.
CoRR, May, 2025

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking.
CoRR, May, 2025

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1.
ACM Trans. Inf. Syst., March, 2025

Learning to Substitute Components for Compositional Generalization.
CoRR, February, 2025

A Universal Framework for Compressing Embeddings in CTR Prediction.
CoRR, February, 2025

HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks.
CoRR, February, 2025

Reinforced Information Retrieval.
CoRR, February, 2025

Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval.
CoRR, February, 2025

O1 Embedder: Let Retrievers Think Before Action.
CoRR, February, 2025

General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data.
CoRR, February, 2025

Invariant representation learning via decoupling style and spurious features.
Mach. Learn., January, 2025

Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width.
CoRR, January, 2025

ACEBench: Who Wins the Match Point in Tool Learning?
CoRR, January, 2025

Adaptive Sampled Softmax with Inverted Multi-Index: Methods, Theory and Applications.
CoRR, January, 2025

MIT: A Multi-Tower Information Transfer Framework Based on Hierarchical Task Relationship Modeling.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation.
Proceedings of the ACM on Web Conference 2025, 2025

Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width.
Proceedings of the ACM on Web Conference 2025, 2025

HyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Cross-Domain Pre-training with Language Models for Transferable Time Series Representations.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Understanding the Effect of Loss Functions on the Generalization of Recommendations.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

ToolACE: Winning the Points of LLM Function Calling.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RecFlow: An Industrial Full Flow Recommendation Dataset.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Making Text Embedders Few-Shot Learners.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Making Transformer Decoders Better Differentiable Indexers.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TDDBench: A Benchmark for Training data detection.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Efficient Data Labeling by Hierarchical Crowdsourcing with Large Language Models.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Exploring the Choice Behavior of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Boosting Long-Context Information Seeking via Query-Guided Activation Refilling.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Internal Value Alignment in Large Language Models through Controlled Value Vector Activation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Training Recommenders Over Large Item Corpus With Importance Sampling.
IEEE Trans. Knowl. Data Eng., December, 2024

Label Deconvolution for Node Representation Learning on Large-Scale Attributed Graphs Against Learning Bias.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Fraud Detection Based on Credit Review Texts with Dual Channel Memory Networks.
Appl. Artif. Intell., December, 2024

Event Assignment Based on KBQA for Government Service Hotlines.
Appl. Artif. Intell., December, 2024

PRICE: A Pretrained Model for Cross-Database Cardinality Estimation.
Proc. VLDB Endow., November, 2024

Learning Relation-Enhanced Hierarchical Solver for Math Word Problems.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Spatial and Temporal User Interest Representations for Sequential Recommendation.
IEEE Trans. Comput. Soc. Syst., October, 2024

Average User-Side Counterfactual Fairness for Collaborative Filtering.
ACM Trans. Inf. Syst., September, 2024

Attacking Social Media via Behavior Poisoning.
ACM Trans. Knowl. Discov. Data, August, 2024

When large language models meet personalization: perspectives of challenges and opportunities.
World Wide Web (WWW), July, 2024

Boosting Factorization Machines via Saliency-Guided Mixup.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach.
ACM Trans. Inf. Syst., March, 2024

PilotScope: Steering Databases with Machine Learning Drivers.
Proc. VLDB Endow., January, 2024

Boosting Long-Context Management via Query-Guided Activation Refilling.
CoRR, 2024

Scaling New Frontiers: Insights into Large Recommendation Models.
CoRR, 2024

Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights.
CoRR, 2024

RecFlow: An Industrial Full Flow Recommendation Dataset.
CoRR, 2024

Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation.
CoRR, 2024

ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models.
CoRR, 2024

Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction.
CoRR, 2024

Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation.
CoRR, 2024

Deep Tree-based Retrieval for Efficient Recommendation: Theory and Method.
CoRR, 2024

Analytical and Empirical Study of Herding Effects in Recommendation Systems.
CoRR, 2024

Multi-agent Multi-armed Bandits with Stochastic Sharable Arm Capacities.
CoRR, 2024

UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models.
CoRR, 2024

Entropy Law: The Story Behind Data Compression and LLM Performance.
CoRR, 2024

Foundations and Frontiers of Graph Learning Theory.
CoRR, 2024

Interpretable Catastrophic Forgetting of Large Language Model Fine-tuning via Instruction Vector.
CoRR, 2024

Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation.
CoRR, 2024

Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation.
CoRR, 2024

CELA: Cost-Efficient Language Model Alignment for CTR Prediction.
CoRR, 2024

Evaluating Concept-based Explanations of Language Models: A Study on Faithfulness and Readability.
CoRR, 2024

Understanding Privacy Risks of Embeddings Induced by Large Language Models.
CoRR, 2024

WESE: Weak Exploration to Strong Exploitation for LLM Agents.
CoRR, 2024

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.
CoRR, 2024

Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors.
CoRR, 2024

BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.
CoRR, 2024

Understanding the planning of LLM agents: A survey.
CoRR, 2024

Information Retrieval Meets Large Language Models.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Aligning Language Models for Versatile Text-based Item Retrieval.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.
Proceedings of the ACM on Web Conference 2024, 2024

Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

C-Pack: Packed Resources For General Chinese Embeddings.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning from Highly Sparse Spatio-temporal Data.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FilterNet: Harnessing Frequency Filters for Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

UniDM: A Unified Framework for Data Manipulation with Large Language Models.
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

Dataset Regeneration for Sequential Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

RecExplainer: Aligning Large Language Models for Explaining Recommendation Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Adaptive Order Q-learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Out-of-Distribution Generalization via Style and Spuriousness Eliminating.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Evaluating Readability and Faithfulness of Concept-based Explanations.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2024

Document Hashing by Exploiting Noisy Neighborhood Information with Fault-Tolerant Mutual-Information-Preserving VAE.
Proceedings of the Database Systems for Advanced Applications, 2024

Multi-Task Recommendation with Task Information Decoupling.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

On the Vulnerability of Safety Alignment in Open-Access LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Understanding and Patching Compositional Reasoning in LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Markov-Driven Graph Convolutional Networks for Social Spammer Detection.
IEEE Trans. Knowl. Data Eng., December, 2023

Securing recommender system via cooperative training.
World Wide Web (WWW), November, 2023

Modeling User Demand Evolution for Next-Basket Prediction.
IEEE Trans. Knowl. Data Eng., November, 2023

An Efficient and Robust Semantic Hashing Framework for Similar Text Search.
ACM Trans. Inf. Syst., October, 2023

Enhancing the Transferability of Adversarial Examples Based on Nesterov Momentum for Recommendation Systems.
IEEE Trans. Big Data, October, 2023

Influence-Driven Data Poisoning for Robust Recommender Systems.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Network Representation Lightening From Hashing to Quantization.
IEEE Trans. Knowl. Data Eng., May, 2023

Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation.
ACM Trans. Inf. Syst., April, 2023

Decoupled Representation Learning for Attributed Networks.
IEEE Trans. Knowl. Data Eng., March, 2023

Reinforcement Routing on Proximity Graph for Efficient Recommendation.
ACM Trans. Inf. Syst., January, 2023

Deep Cross-Attention Network for Crowdfunding Success Prediction.
IEEE Trans. Multim., 2023

Model Stealing Attack against Recommender System.
CoRR, 2023

Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity.
CoRR, 2023

Invariant Representation Learning via Decoupling Style and Spurious Features.
CoRR, 2023

RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability.
CoRR, 2023

Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction.
CoRR, 2023

1DFormer: Learning 1D Landmark Representations via Transformer for Facial Landmark Tracking.
CoRR, 2023

A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.
CoRR, 2023

Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt.
CoRR, 2023

Large-Scale OD Matrix Estimation with A Deep Learning Method.
CoRR, 2023

Toward Robust Recommendation via Real-time Vicinal Defense.
CoRR, 2023

Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias.
CoRR, 2023

Interactive Graph Convolutional Filtering.
CoRR, 2023

When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities.
CoRR, 2023

A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence.
CoRR, 2023

Differentiable Optimized Product Quantization and Beyond.
Proceedings of the ACM Web Conference 2023, 2023

Cooperative Retriever and Ranker in Deep Recommenders.
Proceedings of the ACM Web Conference 2023, 2023

AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Improving Recommendation Fairness via Data Augmentation.
Proceedings of the ACM Web Conference 2023, 2023

Membership Inference Attacks Against Sequential Recommender Systems.
Proceedings of the ACM Web Conference 2023, 2023

RecStudio: Towards a Highly-Modularized Recommender System.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Simple and Robust Ensemble For Click-Through Rate Prediction.
Proceedings of the ACM RecSys Challenge 2023, Singapore, 19 September 2023, 2023

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Knowledge Distillation for High Dimensional Search Index.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Causality Inspired Framework for Model Interpretation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Balanced Tree Indexes for Large-Scale Vector Retrieval.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learned Index with Dynamic $\epsilon$.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Cache-Enhanced InBatch Sampling with Difficulty-Based Replacement Strategies for Learning Recommenders.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2023 International Workshops, 2023

GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Deep Task-specific Bottom Representation Network for Multi-Task Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Batch-Mix Negative Sampling for Learning Recommendation Retrievers.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Learning to Substitute Spans towards Improving Compositional Generalization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Query-Aware Quantization for Maximum Inner Product Search.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Powerful graph of graphs neural network for structured entity analysis.
World Wide Web, 2022

HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation.
ACM Trans. Inf. Syst., 2022

Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst., 2022

Deep Pairwise Hashing for Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

Ranking-Based Implicit Regularization for One-Class Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2022

A Survey on Session-based Recommender Systems.
ACM Comput. Surv., 2022

Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting.
CoRR, 2022

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.
CoRR, 2022

A Mutually Reinforced Framework for Pretrained Sentence Embeddings.
CoRR, 2022

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning Recommenders for Implicit Feedback with Importance Resampling.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Towards Robust Recommender Systems via Triple Cooperative Defense.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Forest-based Deep Recommender.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Improving Implicit Alternating Least Squares with Ring-based Regularization.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Recommender Forest for Efficient Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CreaGAN: An Automatic Creative Generation Framework for Display Advertising.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Self-Supervised Text Erasing with Controllable Image Synthesis.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Adversarial Cycle-Consistent Autoencoder for Category-Aware Out-of-Town Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2022

TMN: Trajectory Matching Networks for Predicting Similarity.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Attention-Cooperated Reinforcement Learning for Multi-agent Path Planning.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

A Unified Transferable Model for ML-Enhanced DBMS.
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Visualizing the Relationship Between Encoded Linguistic Information and Task Performance.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Anisotropic Additive Quantization for Fast Inner Product Search.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Binarized graph neural network.
World Wide Web, 2021

Product Quantized Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2021

Discrete Matrix Factorization and Extension for Fast Item Recommendation.
IEEE Trans. Knowl. Data Eng., 2021

Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling.
ACM Trans. Intell. Syst. Technol., 2021

Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention.
CoRR, 2021

Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks.
CoRR, 2021

Search-oriented Differentiable Product Quantization.
CoRR, 2021

Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Automated Creative Optimization for E-Commerce Advertising.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Federated Deep Knowledge Tracing.
Proceedings of the WSDM '21, 2021

Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

xLightFM: Extremely Memory-Efficient Factorization Machine.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Meta-learning with an Adaptive Task Scheduler.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.
Proceedings of the NeurIPS 2022 Competition Track, 2021

Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Online Additive Quantization.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Preference-Adaptive Meta-Learning for Cold-Start Recommendation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Matching-oriented Embedding Quantization For Ad-hoc Retrieval.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Assessing Dialogue Systems with Distribution Distances.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing.
IEEE Trans. Knowl. Data Eng., 2020

Collaborative Filtering With Ranking-Based Priors on Unknown Ratings.
IEEE Intell. Syst., 2020

LightRec: A Memory and Search-Efficient Recommender System.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Personalized Ranking with Importance Sampling.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Sampling-Decomposable Generative Adversarial Recommender.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Geography-Aware Sequential Location Recommendation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Online Optimized Product Quantization.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Predicting Human Mobility with Self-attention and Feature Interaction.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Variational Point Process Model for Social Event Sequences.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Predicting Academic Performance for College Students: A Campus Behavior Perspective.
ACM Trans. Intell. Syst. Technol., 2019

A Novel User Representation Paradigm for Making Personalized Candidate Retrieval.
CoRR, 2019

Binarized Collaborative Filtering with Distilling Graph Convolutional Networks.
CoRR, 2019

MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Binarized Collaborative Filtering with Distilling Graph Convolutional Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

International Workshop on Model Selection and Parameter Tuning in Recommender Systems.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Adversarial Binary Collaborative Filtering for Implicit Feedback.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Preference-Aware Task Assignment in Spatial Crowdsourcing.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization.
ACM Trans. Inf. Syst., 2018

Scalable Content-Aware Collaborative Filtering for Location Recommendation.
IEEE Trans. Knowl. Data Eng., 2018

Jointly Recommending Library Books and Predicting Academic Performance: A Mutual Reinforcement Perspective.
J. Comput. Sci. Technol., 2018

Advanced forecasting of career choices for college students based on campus big data.
Frontiers Comput. Sci., 2018

Discrete Deep Learning for Fast Content-Aware Recommendation.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Spatial-Aware Deep Recommender System.
Proceedings of the 2018 IEEE SmartWorld, 2018

Discrete Ranking-based Matrix Factorization with Self-Paced Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Neural Memory Streaming Recommender Networks with Adversarial Training.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

High-order Proximity Preserving Information Network Hashing.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Binarized attributed network embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment.
Proceedings of the Database Systems for Advanced Applications, 2018

Attention-Based Transactional Context Embedding for Next-Item Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Mobile Check-In Recommendation.
Proceedings of the Encyclopedia of GIS., 2017

Overview of the NLPCC-ICCPOL 2017 Shared Task: Social Media User Modeling.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

Discrete Content-aware Matrix Factorization.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Predicting Academic Performance via Semi-supervised Learning with Constructed Campus Social Network.
Proceedings of the Database Systems for Advanced Applications, 2017

GPS-Simulated Trajectory Detection.
Proceedings of the Database Systems for Advanced Applications, 2017

Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Predicting Social Status via Social Networks: A Case Study on University, Occupation, and Region.
CoRR, 2016

Exploiting Dining Preference for Restaurant Recommendation.
Proceedings of the 25th International Conference on World Wide Web, 2016

Collaborative Knowledge Base Embedding for Recommender Systems.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Constraint Free Preference Preserving Hashing for Fast Recommendation.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Forecasting Career Choice for College Students Based on Campus Big Data.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
Geo-social media data analytic for user modeling and location-based services.
ACM SIGSPATIAL Special, 2015

Mining Location-based Social Networks: A Predictive Perspective.
IEEE Data Eng. Bull., 2015

Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Lifting the Predictability of Human Mobility on Activity Trajectories.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Mining consumer impulsivity from offline and online behavior.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

2014
Mining Check-In History for Personalized Location Naming.
ACM Trans. Intell. Syst. Technol., 2014

Indigenization of Urban Mobility.
CoRR, 2014

Mining novelty-seeking trait across heterogeneous domains.
Proceedings of the 23rd International World Wide Web Conference, 2014

Analyzing Location Predictability on Location-Based Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Collaborative filtering meets next check-in location prediction.
Proceedings of the 22nd International World Wide Web Conference, 2013

We know how you live: exploring the spectrum of urban lifestyles.
Proceedings of the Conference on Online Social Networks, 2013

2012
Efficient processing of top-k queries: selective NRA algorithms.
J. Intell. Inf. Syst., 2012

2011
Collaborative activity recognition via check-in history.
Proceedings of the 2011 International Workshop on Location Based Social Networks, 2011

Learning location naming from user check-in histories.
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011


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