Bo Zheng
Orcid: 0000-0002-4037-6315Affiliations:
- Alibaba Group, Beijing, China
According to our database1,
Bo Zheng
authored at least 110 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment.
CoRR, 2024
FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models.
CoRR, 2024
R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models.
CoRR, 2024
Enhancing Prompt Following with Visual Control Through Training-Free Mask-Guided Diffusion.
CoRR, 2024
RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance.
CoRR, 2024
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
MusicAOG: an Energy-Based Model for Learning and Sampling a Hierarchical Representation of Symbolic Music.
CoRR, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Ad vs Organic: Revisiting Incentive Compatible Mechanism Design in E-commerce Platforms.
Proceedings of the ACM on Web Conference 2024, 2024
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
Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Laner-GNN: Adapting to Long-Tail Degree Distribution with Latent Neighborhood Restorers.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Synchronized Video Storytelling: Generating Video Narrations with Structured Storyline.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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
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
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
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
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
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
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
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
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
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
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
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
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
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
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
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
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
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
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
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
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
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
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
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
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2006
Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006
AM-Trie: A High-Speed Parallel Packet Classification Algorithm for Network Processor.
Proceedings of the Computational Science, 2006
Proceedings of IEEE International Conference on Communications, 2006
2005
AntiWorm NPU-based Parallel Bloom Filters for TCP/IP Content Processing in Giga-Ethernet LAN.
Proceedings of the 30th Annual IEEE Conference on Local Computer Networks (LCN 2005), 2005