Bo Zheng

Orcid: 0000-0002-4037-6315

Affiliations:
  • Alibaba Group, Beijing, China


According to our database1, Bo Zheng authored at least 81 papers between 2019 and 2024.

Collaborative distances:

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Bibliography

2024
MetaSplit: Meta-Split Network for Limited-Stock Product Recommendation.
CoRR, 2024

ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models.
CoRR, 2024

Scalable Virtual Valuations Combinatorial Auction Design by Combining Zeroth-Order and First-Order Optimization Method.
CoRR, 2024

E^2-LLM: Efficient and Extreme Length Extension of Large Language Models.
CoRR, 2024

Unified Visual Preference Learning for User Intent Understanding.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning against Non-credible Auctions.
CoRR, 2023

Combating Bilateral Edge Noise for Robust Link Prediction.
CoRR, 2023

Robust Representation Learning for Unified Online Top-K Recommendation.
CoRR, 2023

Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification Task.
Proceedings of the ACM Web Conference 2023, 2023

Fairness-aware Guaranteed Display Advertising Allocation under Traffic Cost Constraint.
Proceedings of the ACM Web Conference 2023, 2023

Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multi-Scenario Ranking with Adaptive Feature Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Combating Bilateral Edge Noise for Robust Link Prediction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On Structural Expressive Power of Graph Transformers.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Personalized Automated Bidding Framework for Fairness-aware Online Advertising.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

E-commerce Search via Content Collaborative Graph Neural Network.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

COPR: Consistency-Oriented Pre-Ranking for Online Advertising.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation.
CoRR, 2022

Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models.
CoRR, 2022

Personalized Inter-Task Contrastive Learning for CTR&CVR Joint Estimation.
CoRR, 2022

MCMF: Multi-Constraints With Merging Features Bid Optimization in Online Display Advertising.
CoRR, 2022

GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Model.
CoRR, 2022

Visual Encoding and Debiasing for CTR Prediction.
CoRR, 2022

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction.
CoRR, 2022

UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

DC-GNN: Decoupled Graph Neural Networks for Improving and Accelerating Large-Scale E-commerce Retrieval.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Joint Optimization of Ad Ranking and Creative Selection.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sustainable Online Reinforcement Learning for Auto-bidding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Pretraining Representations of Multi-modal Multi-query E-commerce Search.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Visual Encoding and Debiasing for CTR Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Adaptive Domain Interest Network for Multi-domain Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Hierarchically Constrained Adaptive Ad Exposure in Feeds.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Binary Code based Hash Embedding for Web-scale Applications.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Cross-Graph Convolution Learning for Large-Scale Text-Picture Shopping Guide in E-Commerce Search.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning.
Proceedings of the World Wide Web Conference, 2019

A Minimax Game for Instance based Selective Transfer Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019


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