Peng Jiang

Orcid: 0000-0002-7342-7940

Affiliations:
  • Kwai Inc. / Kuaishou Inc., Beijing, China
  • Alibaba Group, Beijing, China (former)
  • HP Labs, China (former)
  • Beijing Institute of Technology, China (former)


According to our database1, Peng Jiang authored at least 142 papers between 2009 and 2025.

Collaborative distances:

Timeline

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Bibliography

2025
TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation.
CoRR, August, 2025

INFNet: A Task-aware Information Flow Network for Large-Scale Recommendation Systems.
CoRR, August, 2025

Expert-Guided Diffusion Planner for Auto-Bidding.
CoRR, August, 2025

R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems.
CoRR, July, 2025

EBaReT: Expert-guided Bag Reward Transformer for Auto Bidding.
CoRR, July, 2025

Learning Monotonic Probabilities with a Generative Cost Model.
CoRR, June, 2025

Navigate the Unknown: Enhancing LLM Reasoning with Intrinsic Motivation Guided Exploration.
CoRR, May, 2025

Generative Auto-Bidding with Value-Guided Explorations.
CoRR, April, 2025

CHIME: A Compressive Framework for Holistic Interest Modeling.
CoRR, April, 2025

BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation.
CoRR, April, 2025

Learning Cascade Ranking as One Network.
CoRR, March, 2025

From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval.
CoRR, February, 2025

Future-Conditioned Recommendations with Multi-Objective Controllable Decision Transformer.
CoRR, January, 2025

2024 IEEE Scientific Visualization Contest Winner: PlumeViz: Interactive Exploration for Multifacet Features of Hydrothermal Plumes in Sonar Images.
IEEE Computer Graphics and Applications, 2025

Hierarchical Sequence ID Representation of Large Language Models for Large-scale Recommendation Systems.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems.
Proceedings of the ACM on Web Conference 2025, 2025

Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Optimizing Revenue through User Coupon Recommendations in Truthful Online Ad Auctions.
Proceedings of the ACM on Web Conference 2025, 2025

GAS: Generative Auto-bidding with Post-training Search.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

HCMRM: A High-Consistency Multimodal Relevance Model for Search Ads.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Generative Auto-Bidding with Value-Guided Explorations.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

MOTION: Multi-object Video Editing with Training-Free Attention Guidance.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

LLM-Powered User Simulator for Recommender System.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
CC4S: Encouraging Certainty and Consistency in Scribble-Supervised Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Soft Contrastive Sequential Recommendation.
ACM Trans. Inf. Syst., November, 2024

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System.
ACM Trans. Inf. Syst., January, 2024

Joint Inversion of Seismic and Resistivity Data Powered by Deep Learning.
IEEE Trans. Geosci. Remote. Sens., 2024

Category-agnostic semantic edge detection by measuring neural representation randomness.
Pattern Recognit., 2024

Text-Video Multi-Grained Integration for Video Moment Montage.
CoRR, 2024

Adaptive<sup>2</sup>: Adaptive Domain Mining for Fine-grained Domain Adaptation Modeling.
CoRR, 2024

ACQ: A Unified Framework for Automated Programmatic Creativity in Online Advertising.
CoRR, 2024

Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads.
CoRR, 2024

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy.
CoRR, 2024

Enhancing Instruction-Following Capability of Visual-Language Models by Reducing Image Redundancy.
CoRR, 2024

Scaling Laws for Online Advertisement Retrieval.
CoRR, 2024

Video to Music Moment Retrieval.
CoRR, 2024

ASR-enhanced Multimodal Representation Learning for Cross-Domain Product Retrieval.
CoRR, 2024

Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction.
CoRR, 2024

IFA: Interaction Fidelity Attention for Entire Lifelong Behaviour Sequence Modeling.
CoRR, 2024

Training-free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generation.
CoRR, 2024

Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application.
CoRR, 2024

A Model-based Multi-Agent Personalized Short-Video Recommender System.
CoRR, 2024

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.
CoRR, 2024

RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm.
CoRR, 2024

Future Impact Decomposition in Request-level Recommendations.
CoRR, 2024

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Intersectional Two-sided Fairness in Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Discrete Conditional Diffusion for Reranking in Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

M<sup>3</sup>oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.
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.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Modeling User Fatigue for Sequential Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Prompt Tuning for Item Cold-start Recommendation.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Spatiotemporal Fine-grained Video Description for Short Videos.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Spatiotemporal Graph Guided Multi-modal Network for Livestreaming Product Retrieval.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Natural Language Explainable Recommendation with Robustness Enhancement.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Future Impact Decomposition in Request-level Recommendations.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Modeling User Retention through Generative Flow Networks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

RecGPT.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
Semisupervised Deep Neural Network-Based Cross-Frequency Ground-Penetrating Radar Data Inversion.
IEEE Trans. Geosci. Remote. Sens., 2023

Physics-Driven Deep Learning Inversion for Direct Current Resistivity Survey Data.
IEEE Trans. Geosci. Remote. Sens., 2023

Well-Log Information-Assisted High-Resolution Waveform Inversion Based on Deep Learning.
IEEE Geosci. Remote. Sens. Lett., 2023

AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement.
CoRR, 2023

A Large Language Model Enhanced Conversational Recommender System.
CoRR, 2023

Disentangled Causal Embedding With Contrastive Learning For Recommender System.
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.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Multi-Task Recommendations with Reinforcement Learning.
Proceedings of the ACM Web Conference 2023, 2023

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

Two-Stage Constrained Actor-Critic for Short Video Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Reinforcing User Retention in a Billion Scale Short Video Recommender System.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Measuring Item Global Residual Value for Fair Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

KuaiSim: A Comprehensive Simulator for Recommender Systems.
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.
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Generative Flow Network for Listwise Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Multi-Agent Framework for Recommendation with Heterogeneous Sources.
Proceedings of the International Joint Conference on Neural Networks, 2023

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines.
IEEE Trans. Geosci. Remote. Sens., 2022

Unsupervised Deep Learning for Random Noise Attenuation of Seismic Data.
IEEE Geosci. Remote. Sens. Lett., 2022

PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement.
CoRR, 2022

Real-time Short Video Recommendation on Mobile Devices.
CoRR, 2022

Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation.
CoRR, 2022

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor.
CoRR, 2022

Constrained Reinforcement Learning for Short Video Recommendation.
CoRR, 2022

KuaiRec: A Fully-observed Dataset for Recommender Systems.
CoRR, 2022

LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution.
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.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users.
ACM Trans. Inf. Syst., 2021

GPRInvNet: Deep Learning-Based Ground-Penetrating Radar Data Inversion for Tunnel Linings.
IEEE Trans. Geosci. Remote. Sens., 2021

PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic.
CoRR, 2021

Deep Learning-Based Rebar Clutters Removal and Defect Echoes Enhancement in GPR Images.
IEEE Access, 2021

Building Complex Seismic Velocity Models for Deep Learning Inversion.
IEEE Access, 2021

Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Super Diffusion for Salient Object Detection.
IEEE Trans. Image Process., 2020

Deep Learning Inversion of Electrical Resistivity Data.
IEEE Trans. Geosci. Remote. Sens., 2020

Deep-Learning Inversion of Seismic Data.
IEEE Trans. Geosci. Remote. Sens., 2020

Scribble-Supervised Semantic Segmentation by Random Walk on Neural Representation and Self-Supervision on Neural Eigenspace.
CoRR, 2020

Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network.
CoRR, 2020

Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining.
CoRR, 2019

Compositional Network Embedding.
CoRR, 2019

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

Deep Learning Inversion of Electrical Resistivity Data.
CoRR, 2019

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

A Deep-Learning-Based Multiple Defect Detection Method for Tunnel Lining Damages.
IEEE Access, 2019

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

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

Compositional network embedding for link prediction.
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

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Super Diffusion for Salient Object Detection.
CoRR, 2018

DifNet: Semantic Segmentation by Diffusion Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Multi-Source Pointer Network for Product Title Summarization.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2015
Life-stage Prediction for Product Recommendation in E-commerce.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Generic Promotion of Diffusion-Based Salient Object Detection.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2013
Wiki3C: exploiting wikipedia for context-aware concept categorization.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Extracting Fine-Grained Entities Based on Coordinate Graph.
Proceedings of the Natural Language Processing and Information Systems, 2013

Classification of Opinion Questions.
Proceedings of the Advances in Information Retrieval, 2013

2012
A Relation Pattern-Driven Probability Model for Related Entity Retrieval.
Int. J. Knowl. Syst. Sci., 2012

Domain-specific term extraction from free texts.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
A Probability Model for Related Entity Retrieval Using Relation Pattern.
Proceedings of the Knowledge Science, Engineering and Management, 2011

2010
Reconstruct Logical Hierarchical Sitemap for Related Entity Finding.
Proceedings of The Nineteenth Text REtrieval Conference, 2010

BIT at TREC 2010 Blog Track: Faceted Blog Distillation.
Proceedings of The Nineteenth Text REtrieval Conference, 2010

Blog Opinion Retrieval Based on Topic-Opinion Mixture Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

An Approach Based on Tree Kernels for Opinion Mining of Online Product Reviews.
Proceedings of the ICDM 2010, 2010

2009
Experiments on Related Entity Finding Track at TREC 2009.
Proceedings of The Eighteenth Text REtrieval Conference, 2009

BIT at TREC 2009 Faceted Blog Distillation Task.
Proceedings of The Eighteenth Text REtrieval Conference, 2009

A K-means Approach Based on Concept Hierarchical Tree for Search Results Clustering.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009


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