Hao Sun

Orcid: 0000-0001-8456-7925

Affiliations:
  • Peking University, Beijing, China
  • Microsoft (former)
  • University of Electronic Science and Technology of China, Chengdu, China (former)


According to our database1, Hao Sun authored at least 48 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Hierarchical Graph Interaction Transformer With Dynamic Token Clustering for Camouflaged Object Detection.
IEEE Trans. Image Process., 2024

Se<sup>2</sup>: Sequential Example Selection for In-Context Learning.
CoRR, 2024

OneSparse: A Unified System for Multi-index Vector Search.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LEAD: Liberal Feature-based Distillation for Dense Retrieval.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Se²: Sequential Example Selection for In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection.
CoRR, 2023

BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver.
CoRR, 2023

IRGen: Generative Modeling for Image Retrieval.
CoRR, 2023

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation.
CoRR, 2023

Real-time fruit detection using deep neural networks on CPU (RTFD): An edge AI application.
Comput. Electron. Agric., 2023

S2TUL: A Semi-Supervised Framework for Trajectory-User Linking.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Model-enhanced Vector Index.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Allies: Prompting Large Language Model with Beam Search.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Fusing Local and Global Mobility Patterns for Trajectory Recovery.
Proceedings of the Database Systems for Advanced Applications, 2023

History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach.
ACM Trans. Inf. Syst., 2022

Efficient and Effective Similar Subtrajectory Search: A Spatial-aware Comprehension Approach.
ACM Trans. Intell. Syst. Technol., 2022

LEAD: Liberal Feature-based Distillation for Dense Retrieval.
CoRR, 2022

A Neural Corpus Indexer for Document Retrieval.
CoRR, 2022

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.
CoRR, 2022

Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search.
CoRR, 2022

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Geometric Disentangled Collaborative Filtering.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ConLearn: Contextual-knowledge-aware Concept Prerequisite Relation Learning with Graph Neural Network.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Localized Graph Collaborative Filtering.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

A Neural Corpus Indexer for Document Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Enhancing Self-Attention with Knowledge-Assisted Attention Maps.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

AdsCVLR: Commercial Visual-Linguistic Representation Modeling in Sponsored Search.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

HousE: Knowledge Graph Embedding with Householder Parameterization.
Proceedings of the International Conference on Machine Learning, 2022

Snapshot-Guided Domain Adaptation for ELECTRA.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Efficient Trajectory Similarity Computation with Contrastive Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Gophormer: Ego-Graph Transformer for Node Classification.
CoRR, 2021

Localized Graph Collaborative Filtering.
CoRR, 2021

TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search.
CoRR, 2021

TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search.
Proceedings of the WWW '21: The Web Conference 2021, 2021

AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Personalized Dynamic Knowledge-Aware Recommendation with Hybrid Explanations.
Proceedings of the Database Systems for Advanced Applications, 2021

PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2009
A Study of Faceted Blog Distillation--PRIS at TREC 2009 Blog Track.
Proceedings of The Eighteenth Text REtrieval Conference, 2009


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