Qifan Wang
Orcid: 0000-0002-5304-7975
According to our database1,
Qifan Wang
authored at least 188 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE ACM Trans. Audio Speech Lang. Process., 2024
MixingMask: A contour-aware approach for joint object detection and instance segmentation.
Pattern Recognit., 2024
Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models.
CoRR, 2024
CoRR, 2024
ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Lateralization LoRA: Interleaved Instruction Tuning with Modality-Specialized Adaptations.
CoRR, 2024
InternalInspector I<sup>2</sup>: Robust Confidence Estimation in LLMs through Internal States.
CoRR, 2024
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG.
CoRR, 2024
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks.
CoRR, 2024
CoRR, 2024
Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration.
CoRR, 2024
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models.
CoRR, 2024
Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers.
CoRR, 2024
Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning.
CoRR, 2024
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations.
CoRR, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the Natural Language Processing and Chinese Computing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Research on the Development Status of the Combination of Biology, Chemistry, Geology and Artificial Intelligence.
Proceedings of the 2024 International Conference on Digital Society and Artificial Intelligence, 2024
Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Big Data, December, 2023
<i>HT2ML</i>: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE.
Comput. Secur., December, 2023
Neural Networks, October, 2023
IEEE Trans. Knowl. Data Eng., April, 2023
AI Open, January, 2023
IEEE Trans. Multim., 2023
Trans. Mach. Learn. Res., 2023
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework With Spatio-Temporal Collaboration.
IEEE Trans. Circuits Syst. Video Technol., 2023
Eng. Appl. Artif. Intell., 2023
CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation.
CoRR, 2023
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.
CoRR, 2023
CoRR, 2023
Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization.
CoRR, 2023
Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling.
CoRR, 2023
CoRR, 2023
The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning.
CoRR, 2023
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
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
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Information and Communications Security - 25th International Conference, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Multi-Task Transformer with Relation-Attention and Type-Attention for Named Entity Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023
PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection.
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
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality.
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
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Mostree: Malicious Secure Private Decision Tree Evaluation with Sublinear Communication.
Proceedings of the Annual Computer Security Applications Conference, 2023
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
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
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
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales.
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
Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Circuits Syst. Video Technol., 2022
Frontiers Comput. Sci., 2022
CoRR, 2022
CoRR, 2022
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations.
CoRR, 2022
CoRR, 2022
A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed <i>Solanum rostratum</i> Dunal seedlings.
Comput. Electron. Agric., 2022
Multi-channel feature fusion networks with hard coordinate attention mechanism for maize disease identification under complex backgrounds.
Comput. Electron. Agric., 2022
Application of deep learning in sheep behaviors recognition and influence analysis of training data characteristics on the recognition effect.
Comput. Electron. Agric., 2022
Proceedings of the Companion of The 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
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 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
Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation.
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 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022
2021
An image segmentation method based on deep learning for damage assessment of the invasive weed <i>Solanum rostratum</i> Dunal.
Comput. Electron. Agric., 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Detecting Movement Timing from Primate Intracortical Signals for Brain-machine Interfaces in Dynamic Environment.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
AC Prediction Error Propagation-based Encryption for Texture Protection of JPEG Compressed Images.
Proceedings of the Picture Coding Symposium, 2021
Reinforcement of Neuropixels probes for high-density neural recording in non-human primates.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
Serial Decoding of Macaque Intracortical Activity for Feedforward Control of Coherent Sequential Reach.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Proceedings of the Smart City and Informatization - 7th International Conference, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
An Implementation of Brain-Machine Interface by Decoding Predictive Intracortical Signals toward a Moving Object<sup>*</sup>.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018
2017
Ribosome Profiling Reveals Genome-wide Cellular Translational Regulation upon Heat Stress in <i>Escherichia coli</i>.
Genom. Proteom. Bioinform., 2017
Research on Internet of Vehicles' Privacy Protection Based on Tamper-Proof with Ciphertext.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
2016
IEEE Trans. Pattern Anal. Mach. Intell., 2016
Multim. Tools Appl., 2016
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016
Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2016, 2016
2015
Learning compact hashing codes with complex objectives from multiple sources for large scale similarity search
PhD thesis, 2015
ACM Trans. Inf. Syst., 2015
An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015
Determining Expert Research Areas with Multi-Instance Learning of Hierarchical Multi-Label Classification Model.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2015, 2015
LEAPS: Detecting Camouflaged Attacks with Statistical Learning Guided by Program Analysis.
Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Int. J. Cyber Warf. Terror., 2014
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014
Robust nonnegative matrix factorization via L1 norm regularization by multiplicative updating rules.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval.
Proceedings of the Computer Vision - ECCV 2014, 2014
Proceedings of the Computer Vision - ECCV 2014, 2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
2012
A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification.
Proceedings of the Computer Vision - ECCV 2012, 2012
2011
Proceedings of The Twentieth Text REtrieval Conference, 2011
Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, 2011
2010
Proceedings of the Computer Vision, 2010