Zheng Liu

Orcid: 0000-0002-0405-2348

Affiliations:

Beijing Academy of Artificial Intelligence, China
Huawei Poisson Lab, Shenzhen, China
Microsoft Research Asia, Beijing, China
Hong Kong University of Science & Technology, Department of Computer Science and Engineering, Hong Kong

According to our database¹, Zheng Liu authored at least 151 papers between 2014 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 2.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., September, 2025

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models.

[BibT_eX]

[DOI]

CoRR, July, 2025

Task-Aware KV Compression For Cost-Effective Long Video Understanding.

[BibT_eX]

[DOI]

CoRR, June, 2025

Video-XL-2: Towards Very Long-Video Understanding Through Task-Aware KV Sparsification.

[BibT_eX]

[DOI]

CoRR, June, 2025

OmniGen2: Exploration to Advanced Multimodal Generation.

[BibT_eX]

[DOI]

CoRR, June, 2025

VideoDeepResearch: Long Video Understanding With Agentic Tool Using.

[BibT_eX]

[DOI]

CoRR, June, 2025

Fact in Fragments: Deconstructing Complex Claims via LLM-based Atomic Fact Extraction and Verification.

[BibT_eX]

[DOI]

CoRR, June, 2025

Towards Effective Code-Integrated Reasoning.

[BibT_eX]

[DOI]

CoRR, May, 2025

SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis.

[BibT_eX]

[DOI]

CoRR, May, 2025

Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization.

[BibT_eX]

[DOI]

CoRR, May, 2025

Towards A Generalist Code Embedding Model Based On Massive Data Synthesis.

[BibT_eX]

[DOI]

CoRR, May, 2025

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., March, 2025

Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models.

[BibT_eX]

[DOI]

CoRR, March, 2025

Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding.

[BibT_eX]

[DOI]

CoRR, March, 2025

Memory-enhanced Retrieval Augmentation for Long Video Understanding.

[BibT_eX]

[DOI]

CoRR, March, 2025

An Empirical Study on Eliciting and Improving R1-like Reasoning Models.

[BibT_eX]

[DOI]

CoRR, March, 2025

MMTEB: Massive Multilingual Text Embedding Benchmark.

[BibT_eX]

[DOI]

Kenneth C. Enevoldsen

Hippolyte Gisserot-Boukhlef

Lester James V. Miranda

CoRR, February, 2025

HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks.

[BibT_eX]

[DOI]

CoRR, February, 2025

MomentSeeker: A Comprehensive Benchmark and A Strong Baseline For Moment Retrieval Within Long Videos.

[BibT_eX]

[DOI]

CoRR, February, 2025

Reinforced Information Retrieval.

[BibT_eX]

[DOI]

CoRR, February, 2025

Does RAG Really Perform Bad For Long-Context Processing?

[BibT_eX]

[DOI]

CoRR, February, 2025

Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval.

[BibT_eX]

[DOI]

CoRR, February, 2025

O1 Embedder: Let Retrievers Think Before Action.

[BibT_eX]

[DOI]

Ruiran Yan

Zheng Liu

Defu Lian

CoRR, February, 2025

Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width.

[BibT_eX]

[DOI]

CoRR, January, 2025

Virgo: A Preliminary Exploration on Reproducing o1-like MLLM.

[BibT_eX]

[DOI]

CoRR, January, 2025

MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive Task.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Long Context Compression with Activation Beacon.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Making Text Embedders Few-Shot Learners.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

OmniGen: Unified Image Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MLVU: Benchmarking Multi-task Long Video Understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

FineRAG: Fine-grained Retrieval-Augmented Text-to-Image Generation.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

How Credible Is an Answer From Retrieval-Augmented LLMs? Investigation and Evaluation With Multi-Hop QA.

[BibT_eX]

[DOI]

Yujia Zhou

Zheng Liu

Zhicheng Dou

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Boosting Long-Context Information Seeking via Query-Guided Activation Refilling.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

When large language models meet personalization: perspectives of challenges and opportunities.

[BibT_eX]

[DOI]

World Wide Web (WWW), July, 2024

Boosting Long-Context Management via Query-Guided Activation Refilling.

[BibT_eX]

[DOI]

CoRR, 2024

Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems.

[BibT_eX]

[DOI]

CoRR, 2024

Technical Report: Enhancing LLM Reasoning with Reward-guided Tree Search.

[BibT_eX]

[DOI]

CoRR, 2024

AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant.

[BibT_eX]

[DOI]

Yujia Zhou

Zheng Liu

Zhicheng Dou

CoRR, 2024

Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Elephant in the Room: Unveiling the Impact of Reward Model Quality in Alignment.

[BibT_eX]

[DOI]

CoRR, 2024

Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding.

[BibT_eX]

[DOI]

CoRR, 2024

OmniGen: Unified Image Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery.

[BibT_eX]

[DOI]

CoRR, 2024

SEA-SQL: Semantic-Enhanced Text-to-SQL with Adaptive Refinement.

[BibT_eX]

[DOI]

Chaofan Li

Yingxia Shao

Zheng Liu

CoRR, 2024

MLVU: A Comprehensive Benchmark for Multi-Task Long Video Understanding.

[BibT_eX]

[DOI]

CoRR, 2024

Are Long-LLMs A Necessity For Long-Context Tasks?

[BibT_eX]

[DOI]

CoRR, 2024

Extending Llama-3's Context Ten-Fold Overnight.

[BibT_eX]

[DOI]

CoRR, 2024

Understanding Privacy Risks of Embeddings Induced by Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Extensible Embedding: A Flexible Multipler For LLM's Context Length.

[BibT_eX]

[DOI]

CoRR, 2024

BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2024

Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization.

[BibT_eX]

[DOI]

CoRR, 2024

Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon.

[BibT_eX]

[DOI]

CoRR, 2024

Information Retrieval Meets Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels.

[BibT_eX]

[DOI]

Harsha Vardhan Simhadri

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Metacognitive Retrieval-Augmented Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Generative Retrieval via Term Set Generation.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

C-Pack: Packed Resources For General Chinese Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Boosting the Potential of Large Language Models with an Intelligent Information Assistant.

[BibT_eX]

[DOI]

Yujia Zhou

Zheng Liu

Zhicheng Dou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RAG-Studio: Towards In-Domain Adaptation of Retrieval Augmented Generation Through Self-Alignment.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

A Multi-Task Embedder For Retrieval Augmented LLMs.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

LM-Cocktail: Resilient Tuning of Language Models via Model Merging.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Grounding Language Model with Chunking-Free In-Context Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2023

An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., April, 2023

CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., April, 2023

Reinforcement Routing on Proximity Graph for Efficient Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., January, 2023

Making Large Language Models A Better Foundation For Dense Retrieval.

[BibT_eX]

[DOI]

CoRR, 2023

Retrieve Anything To Augment Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

C-Pack: Packaged Resources To Advance General Chinese Embedding.

[BibT_eX]

[DOI]

CoRR, 2023

When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities.

[BibT_eX]

[DOI]

CoRR, 2023

Term-Sets Can Be Strong Document Identifiers For Auto-Regressive Search Engines.

[BibT_eX]

[DOI]

CoRR, 2023

WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus.

[BibT_eX]

[DOI]

CoRR, 2023

Cooperative Retriever and Ranker in Deep Recommenders.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

RecStudio: Towards a Highly-Modularized Recommender System.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Constructing Tree-based Index for Efficient and Effective Dense Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Efficient and Effective Transformers for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2023

RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

RetroMAE v2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models.

[BibT_eX]

[DOI]

Shitao Xiao

Zheng Liu

CoRR, 2022

Bi-Phase Enhanced IVFPQ for Time-Efficient Ad-hoc Retrieval.

[BibT_eX]

[DOI]

Peitian Zhang

Zheng Liu

CoRR, 2022

Pre-training for Information Retrieval: Are Hyperlinks Fully Explored?

[BibT_eX]

[DOI]

CoRR, 2022

A Neural Corpus Indexer for Document Retrieval.

[BibT_eX]

[DOI]

CoRR, 2022

RetroMAE: Pre-training Retrieval-oriented Transformers via Masked Auto-Encoder.

[BibT_eX]

[DOI]

Zheng Liu

Yingxia Shao

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

A Mutually Reinforced Framework for Pretrained Sentence Embeddings.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

GateFormer: Speeding Up News Feed Recommendation with Input Gated Transformers.

[BibT_eX]

[DOI]

Peitian Zhang

Zheng Liu

CoRR, 2022

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MINDSim: User Simulator for News Recommenders.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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

[BibT_eX]

[DOI]

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

Forest-based Deep Recommender.

[BibT_eX]

[DOI]

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

Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation.

[BibT_eX]

[DOI]

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

A Neural Corpus Indexer for Document Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Recommender Forest for Efficient Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Training Large-Scale News Recommenders with Pretrained Language Models in the Loop.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Anisotropic Additive Quantization for Fast Inner Product Search.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.

[BibT_eX]

[DOI]

CoRR, 2021

GraphFormers: GNN-nested Language Models for Linked Text Representation.

[BibT_eX]

[DOI]

CoRR, 2021

Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Search-oriented Differentiable Product Quantization.

[BibT_eX]

[DOI]

CoRR, 2021

Training Microsoft News Recommenders with Pretrained Language Models in the Loop.

[BibT_eX]

[DOI]

CoRR, 2021

Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations.

[BibT_eX]

[DOI]

CoRR, 2021

AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Matching-oriented Embedding Quantization For Ad-hoc Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

LightRec: A Memory and Search-Efficient Recommender System.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Sampling-Decomposable Generative Adversarial Recommender.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fine-grained Interest Matching for Neural News Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

A Novel User Representation Paradigm for Making Personalized Candidate Retrieval.

[BibT_eX]

[DOI]

CoRR, 2019

Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Neural News Recommendation with Long- and Short-term User Representations.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Context-aware Academic Collaborator Recommendation.

[BibT_eX]

[DOI]

Zheng Liu

Xing Xie

Lei Chen

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Realtime Traffic Speed Estimation with Sparse Crowdsourced Data.

[BibT_eX]

[DOI]

Zheng Liu

Lei Chen

Yongxin Tong

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Worker Recommendation for Crowdsourced Q&A Services: A Triple-Factor Aware Approach.

[BibT_eX]

[DOI]

Zheng Liu

Lei Chen

Proc. VLDB Endow., 2017

Speaker Direction-of-Arrival Estimation Based on Frequency-Independent Beampattern.

[BibT_eX]

[DOI]

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Tuning Crowdsourced Human Computation.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

Tuning Crowdsourced Human Computation.

[BibT_eX]

[DOI]

CoRR, 2016

Mutual benefit aware task assignment in a bipartite labor market.

[BibT_eX]

[DOI]

Zheng Liu

Lei Chen

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015

Cleaning uncertain data with a noisy crowd.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014

gMission: A General Spatial Crowdsourcing Platform.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2014

Zheng Liu

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