From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval.

[BibT_eX]

[DOI]

Jian Jia

Jingtong Gao

CoRR, February, 2025

Improving Video Generation with Human Feedback.

[BibT_eX]

[DOI]

CoRR, January, 2025

ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning.

[BibT_eX]

[DOI]

CoRR, January, 2025

Hierarchical Sequence ID Representation of Large Language Models for Large-scale Recommendation Systems.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Creator-Side Recommender System: Challenges, Designs, and Applications.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

A Cold-start Recommendation System at Kuaishou Designed from the Short-video Perspective.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Comprehensive List Generation for Multi-Generator Reranking.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Generative Auto-Bidding with Value-Guided Explorations.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

CamCloneMaster: Enabling Reference-based Camera Control for Video Generation.

[BibT_eX]

[DOI]

Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation.

[BibT_eX]

[DOI]

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2025

Enhancing Online Video Recommendation via a Coarse-to-fine Dynamic Uplift Modeling Framework.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Improving Video Generation with Human Feedback.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou.

[BibT_eX]

[DOI]

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

VLM as Policy: Common-Law Content Moderation Framework for Short Video Platform.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Learning Cascade Ranking as One Network.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

RecFlow: An Industrial Full Flow Recommendation Dataset.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Making Transformer Decoders Better Differentiable Indexers.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Imbalance in Balance: Online Concept Balancing in Generation Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

FullDiT: Video Generative Foundation Models with Multimodal Control via Full Attention.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Towards Precise Scaling Laws for Video Diffusion Transformers.

[BibT_eX]

[DOI]

Victor Shea-Jay Huang

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

MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Pantheon: Personalized Multi-objective Ensemble Sort via Iterative Pareto Policy Optimization.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Soft Contrastive Sequential Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., November, 2024

CRM: Retrieval Model with Controllable Condition.

[BibT_eX]

[DOI]

CoRR, 2024

Adaptive2: Adaptive Domain Mining for Fine-grained Domain Adaptation Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Instruction-Following Capability of Visual-Language Models by Reducing Image Redundancy.

[BibT_eX]

[DOI]

CoRR, 2024

Scaling Laws for Online Advertisement Retrieval.

[BibT_eX]

[DOI]

CoRR, 2024

QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou.

[BibT_eX]

[DOI]

CoRR, 2024

KuaiFormer: Transformer-Based Retrieval at Kuaishou.

[BibT_eX]

[DOI]

CoRR, 2024

MARM: Unlocking the Future of Recommendation Systems through Memory Augmentation and Scalable Complexity.

[BibT_eX]

[DOI]

CoRR, 2024

RecFlow: An Industrial Full Flow Recommendation Dataset.

[BibT_eX]

[DOI]

CoRR, 2024

Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

ERABAL: Enhancing Role-Playing Agents through Boundary-Aware Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance.

[BibT_eX]

[DOI]

CoRR, 2024

Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application.

[BibT_eX]

[DOI]

CoRR, 2024

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.

[BibT_eX]

[DOI]

CoRR, 2024

RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm.

[BibT_eX]

[DOI]

CoRR, 2024

Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples.

[BibT_eX]

[DOI]

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

Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Inverse Learning with Extremely Sparse Feedback for Recommendation.

[BibT_eX]

[DOI]

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

Mixed Attention Network for Cross-domain Sequential Recommendation.

[BibT_eX]

[DOI]

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

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.

[BibT_eX]

[DOI]

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

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention.

[BibT_eX]

[DOI]

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

Modeling User Fatigue for Sequential Recommendation.

[BibT_eX]

[DOI]

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

Generative Retrieval with Semantic Tree-Structured Identifiers and Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2024

RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

A Multi-modal Modeling Framework for Cold-start Short-video Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

DialogBench: Evaluating LLMs as Human-like Dialogue Systems.

[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

Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Future Impact Decomposition in Request-level Recommendations.

[BibT_eX]

[DOI]

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

Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization.

[BibT_eX]

[DOI]

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

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues.

[BibT_eX]

[DOI]

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

Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector.

[BibT_eX]

[DOI]

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

RecGPT.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2024

Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs.

[BibT_eX]

[DOI]

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

TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou.

[BibT_eX]

[DOI]

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

A Self-Adaptive Fairness Constraint Framework for Industrial Recommender System.

[BibT_eX]

[DOI]

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

Missing Interest Modeling with Lifelong User Behavior Data for Retrieval Recommendation.

[BibT_eX]

[DOI]

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

Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios.

[BibT_eX]

[DOI]

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

2023

Ask One More Time: Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios.

[BibT_eX]

[DOI]

CoRR, 2023

DialogBench: Evaluating LLMs as Human-like Dialogue Systems.

[BibT_eX]

[DOI]

CoRR, 2023

KwaiYiiMath: Technical Report.

[BibT_eX]

[DOI]

CoRR, 2023

Parrot: Enhancing Multi-Turn Chat Models by Learning to Ask Questions.

[BibT_eX]

[DOI]

CoRR, 2023

AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement.

[BibT_eX]

[DOI]

CoRR, 2023

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization.

[BibT_eX]

[DOI]

CoRR, 2023

A Large Language Model Enhanced Conversational Recommender System.

[BibT_eX]

[DOI]

CoRR, 2023

PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Disentangled Causal Embedding With Contrastive Learning For Recommender System.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Multi-Task Recommendations with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Exploration and Regularization of the Latent Action Space in Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Two-Stage Constrained Actor-Critic for Short Video Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Reinforcing User Retention in a Billion Scale Short Video Recommender System.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Multi-behavior Self-supervised Learning for Recommendation.

[BibT_eX]

[DOI]

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

When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation.

[BibT_eX]

[DOI]

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

Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

KuaiSim: A Comprehensive Simulator for Recommender Systems.

[BibT_eX]

[DOI]

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

State Regularized Policy Optimization on Data with Dynamics Shift.

[BibT_eX]

[DOI]

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

PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement.

[BibT_eX]

[DOI]

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

Graph Contrastive Learning with Generative Adversarial Network.

[BibT_eX]

[DOI]

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

PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information.

[BibT_eX]

[DOI]

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

TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou.

[BibT_eX]

[DOI]

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

Generative Flow Network for Listwise Recommendation.

[BibT_eX]

[DOI]

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

A Multi-Agent Framework for Recommendation with Heterogeneous Sources.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Real-time Short Video Recommendation on Mobile Devices.

[BibT_eX]

[DOI]

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

2021

Truncation-Free Matching System for Display Advertising at Alibaba.

[BibT_eX]

[DOI]

CoRR, 2021

Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning.

[BibT_eX]

[DOI]

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

2020

Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning.

[BibT_eX]

[DOI]

CoRR, 2020

CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

COLD: Towards the Next Generation of Pre-Ranking System.

[BibT_eX]

[DOI]

CoRR, 2020

DCAF: A Dynamic Computation Allocation Framework for Online Serving System.

[BibT_eX]

[DOI]

CoRR, 2020

A Deep Recurrent Survival Model for Unbiased Ranking.

[BibT_eX]

[DOI]

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

Calibrating User Response Predictions in Online Advertising.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Optimal Tree Models under Beam Search.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

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

Learning to Infer User Hidden States for Online Sequential Advertising.

[BibT_eX]

[DOI]

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

A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction.

[BibT_eX]

[DOI]

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

Sequential Advertising Agent with Interpretable User Hidden Intents.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Progressive Feature Polishing Network for Salient Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Progressive Feature Polishing Network for Salient Object Detection.

[BibT_eX]

[DOI]

CoRR, 2019

Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling.

[BibT_eX]

[DOI]

CoRR, 2019

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction.

[BibT_eX]

[DOI]

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Joint Optimization of Tree-based Index and Deep Model for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bid Optimization by Multivariable Control in Display Advertising.

[BibT_eX]

[DOI]

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

Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

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

Improve Diverse Text Generation by Self Labeling Conditional Variational Auto Encoder.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning Adaptive Display Exposure for Real-Time Advertising.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Deep Interest Evolution Network for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

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

2018

A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising.

[BibT_eX]

[DOI]

CoRR, 2018

Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Tree-based Deep Model for Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2018

Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate.

[BibT_eX]

[DOI]

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

Semantic Human Matting.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Learning Tree-based Deep Model for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep Interest Network for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising.

[BibT_eX]

[DOI]

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

Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising.

[BibT_eX]

[DOI]

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

Image Matters: Visually Modeling User Behaviors Using Advanced Model Server.

[BibT_eX]

[DOI]

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

Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Image Matters: Jointly Train Advertising CTR Model with Image Representation of Ad and User Behavior.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Interest Network for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

CoRR, 2017

Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction.

[BibT_eX]

[DOI]

CoRR, 2017

Optimized Cost per Click in Taobao Display Advertising.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2013

Efficient blind separation of reflection layers with nonparametric transformations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Blind Separation of Superimposed Moving Images Using Image Statistics.

[BibT_eX]

[DOI]

Kun Gai

Zhenwei Shi

Changshui Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Efficient Superimposition Recovering Algorithm

[BibT_eX]

[DOI]

CoRR, 2012

2011

Efficient Euclidean projections via Piecewise Root Finding and its application in gradient projection.

[BibT_eX]

[DOI]

Pinghua Gong

Kun Gai

Changshui Zhang

Neurocomputing, 2011

2010

Learning Kernels with Radiuses of Minimum Enclosing Balls.

[BibT_eX]

[DOI]

Kun Gai

Guangyun Chen

Changshui Zhang

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Learning Discriminative Piecewise Linear Models with Boundary Points.

[BibT_eX]

[DOI]

Kun Gai

Changshui Zhang

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Blind separation of superimposed images with unknown motions.

[BibT_eX]

[DOI]

Kun Gai

Zhenwei Shi