2025
Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search.
CoRR, March, 2025
Test-time Computing: from System-1 Thinking to System-2 Thinking.
CoRR, January, 2025
EGRec: Leveraging Generative Rich Intents for Enhanced Recommendation with Large Language Models.
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Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Singleton CTR Prediction: Towards Single-User Modeling Paradigm with Large Language Models.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search.
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Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Aligned Side Information Fusion Method for Sequential Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
GATS: Generative Audience Targeting System for Online Advertising.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset.
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Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation.
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Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions.
ACM Trans. Knowl. Discov. Data, 2023
AntM<sup>2</sup>C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction.
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CoRR, 2023
DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
BKD: A Bridge-based Knowledge Distillation Method for Click-Through Rate Prediction.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Accelerating Model Solving for Integrated Optimization of Timetabling and Vehicle Scheduling based on Graph Convolutional Network.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Model-Based Reinforcement Learning for Auto-bidding in Display Advertising.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
A Non-sequential Approach to Deep User Interest Model for CTR Prediction.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Multi-interest Sequence Modeling for Recommendation with Causal Embedding.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022
Task Similarity Aware Meta Learning for Cold-Start Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
A Hierarchical User Behavior Modeling Framework for Cross-Domain Click-Through Rate Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-intervention.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
A Non-sequential Approach to Deep User Interest Model for Click-Through Rate Prediction.
CoRR, 2021
Learning to Select Instance: Simultaneous Transfer Learning and Clustering.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning.
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Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
2007
Complexity Reduction of Multi-frame Motion Estimation in H.264.
Proceedings of the Advances in Multimedia Modeling, 2007
Multiframe Error Concealment for Whole-Frame Loss in H.264/AVC.
Proceedings of the International Conference on Image Processing, 2007
2006
Rate Control Scheme for Video Coding Using Low-Memory-Cost Look-Up Table.
Proceedings of the Advances in Image and Video Technology, First Pacific Rim Symposium, 2006
Multiple Description Coding Using Adaptive Error Recovery for Real-Time Video Transmission.
Proceedings of the Advances in Multimedia Information Processing, 2006
A Novel Fast Error-resilient Video Coding Scheme for H.264.
Proceedings of the IEEE 8th Workshop on Multimedia Signal Processing, 2006
Multiple-Reference-Frame Based Fast Motion Estimation & Mode Decision for H.263-to-H.264 Transcoder.
Proceedings of the International Conference on Image Processing, 2006
2005
A novel fast predictive mode decision algorithm for H.264.
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005
Speed Optimization of a MPEG-4 Software Decoder Based on ARM Family Cores.
Proceedings of the Image Analysis and Recognition, Second International Conference, 2005
Configurable Complexity-Bounded Motion Estimation for Real-Time Video Encoding.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2005