Qi Zhang
Orcid: 0009-0009-3808-7512Affiliations:
- Microsoft Corporation, STCA, Beijing, China
- Washington University in St. Louis, MO, USA (PhD 2001)
According to our database1,
Qi Zhang
authored at least 115 papers
between 2006 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
CoRR, June, 2025
RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning.
CoRR, May, 2025
Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones?
CoRR, February, 2025
VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model.
CoRR, February, 2025
CoRR, February, 2025
CoRR, February, 2025
CoRR, January, 2025
ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation.
CoRR, January, 2025
Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation.
CoRR, January, 2025
Trans. Mach. Learn. Res., 2025
Ploutos: Towards Explainable Stock Movement Prediction with Financial Large Language Model.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism.
Proceedings of the ACM on Web Conference 2025, 2025
LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Te-PID: An Adaptive Erasure Coding Temperature Management System for Optimized Cloud Storage.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks.
Proceedings of the 30th International Conference on Intelligent User Interfaces, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
AllHands :Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025
Extract Information from Hybrid Long Documents Leveraging LLMs: A Framework and Dataset.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
ESF: Efficient Sensitive Fingerprinting for Black-Box Tamper Detection of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
CoRR, 2024
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
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation.
CoRR, 2024
Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning.
CoRR, 2024
Ploutos: Towards interpretable stock movement prediction with financial large language model.
CoRR, 2024
COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy.
CoRR, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
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
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
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
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
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
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
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 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
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
Incremental Tensor Decomposition and BiGRU based Network Traffic Prediction for IIoT.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Adversarial Knowledge Stimulated Contrastive Prompting for Few-shot Language Learners.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
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
IEEE Internet Things J., 2022
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
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
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
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 International Conference on Machine Learning, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
2019
IEEE Internet Things J., 2019
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
2016
Toward Optimal Orientation Scheduling for Full-View Coverage in Camera Sensor Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016
2007
Proceedings of the Database and Expert Systems Applications, 18th International Conference, 2007
2006
Proceedings of the 3rd ACM Workshop On Geographic Information Retrieval, 2006