Qi Zhang

Orcid: 0009-0009-7438-7248

Affiliations:
  • Microsoft Corporation, STCA, Beijing, China
  • Washington University in St. Louis, MO, USA (PhD 2001)


According to our database1, Qi Zhang authored at least 86 papers between 2006 and 2025.

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

Timeline

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2020
2022
2024
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Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2025
GeAR: Generation Augmented Retrieval.
CoRR, January, 2025

2024
Extract Information from Hybrid Long Documents Leveraging LLMs: A Framework and Dataset.
CoRR, 2024

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models.
CoRR, 2024

Context-DPO: Aligning Language Models for Context-Faithfulness.
CoRR, 2024

Large Action Models: From Inception to Implementation.
CoRR, 2024

Large Language Model-Brained GUI Agents: A Survey.
CoRR, 2024

StreamAdapter: Efficient Test Time Adaptation from Contextual Streams.
CoRR, 2024

Sharingan: Extract User Action Sequence from Desktop Recordings.
CoRR, 2024

RuAG: Learned-rule-augmented Generation for Large Language Models.
CoRR, 2024

Token-level Proximal Policy Optimization for Query Generation.
CoRR, 2024

Self-Evolved Reward Learning for LLMs.
CoRR, 2024

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks.
CoRR, 2024

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning.
CoRR, 2024

When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning.
CoRR, 2024

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure.
CoRR, 2024

Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents.
CoRR, 2024

Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator.
CoRR, 2024

The Vision of Autonomic Computing: Can LLMs Make It a Reality?
CoRR, 2024

E5-V: Universal Embeddings with Multimodal Large Language Models.
CoRR, 2024

Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation.
CoRR, 2024

ASI++: Towards Distributionally Balanced End-to-End Generative Retrieval.
CoRR, 2024

MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning.
CoRR, 2024

Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning.
CoRR, 2024

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models.
CoRR, 2024

Ploutos: Towards interpretable stock movement prediction with financial large language model.
CoRR, 2024

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides.
CoRR, 2024

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

UFO: A UI-Focused Agent for Windows OS Interaction.
CoRR, 2024

Contrastive Learning with Negative Sampling Correction.
CoRR, 2024

Improving Domain Adaptation through Extended-Text Reading Comprehension.
CoRR, 2024

COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy.
CoRR, 2024

Adaptive negative representations for graph contrastive learning.
AI Open, 2024

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

COMET: NFT Price Prediction with Wallet Profiling.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

IRGen: Generative Modeling for Image Retrieval.
Proceedings of the Computer Vision - ECCV 2024, 2024

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Calibrating LLM-Based Evaluator.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

ResLoRA: Identity Residual Mapping in Low-Rank Adaption.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Text Diffusion with Reinforced Conditioning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Data-centric Graph Learning: A Survey.
CoRR, 2023

Towards Better Entity Linking with Multi-View Enhanced Distillation.
CoRR, 2023

IRGen: Generative Modeling for Image Retrieval.
CoRR, 2023

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

Multi-Grained Topological Pre-Training of Language Models in Sponsored Search.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Learning Profitable NFT Image Diffusions via Multiple Visual-Policy Guided Reinforcement Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PASS: Personalized Advertiser-aware Sponsored Search.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Auto Search Indexer for End-to-End Document Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Democratizing Reasoning Ability: Tailored Learning from Large Language Model.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Towards Better Entity Linking with Multi-View Enhanced Distillation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Dual-Alignment Pre-training for Cross-lingual Sentence Embedding.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Pre-training Language Model as a Multi-perspective Course Learner.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 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
A Neural Corpus Indexer for Document Retrieval.
CoRR, 2022

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

PromptBERT: Improving BERT Sentence Embeddings with Prompts.
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

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

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

Learning Supplementary NLP Features for CTR Prediction in 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

RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

PromptBERT: Improving BERT Sentence Embeddings with Prompts.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

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

2021
Improving Non-autoregressive Generation with Mixup Training.
CoRR, 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

2020
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multivariate Time-series Anomaly Detection via Graph Attention Network.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Time-Series Anomaly Detection Service at Microsoft.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Ad Click Prediction in Sequence with Long Short-Term Memory Networks: an Externality-aware Model.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2007
Computing Geographical Serving Area Based on Search Logs and Website Categorization.
Proceedings of the Database and Expert Systems Applications, 18th International Conference, 2007

2006
Detecting Geographical Serving Area of Web Resources.
Proceedings of the 3rd ACM Workshop On Geographic Information Retrieval, 2006


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