Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Evaluating Step-by-Step Reasoning through Symbolic Verification.

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[DOI]

Yifan Zhang

Hanlin Zhang

Li Li

Eric P. Xing

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

From Question to Exploration: Can Classic Test-Time Adaptation Strategies Be Effectively Applied in Semantic Segmentation?

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[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Position: What Can Large Language Models Tell Us about Time Series Analysis.

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[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MonoTTA: Fully Test-Time Adaptation for Monocular 3D Object Detection.

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[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

One-DM: One-Shot Diffusion Mimicker for Handwritten Text Generation.

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[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Deep Long-Tailed Learning: A Survey.

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[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation.

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[DOI]

Trans. Mach. Learn. Res., 2023

Learning Domain Invariant Representations for Generalizable Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Assaying on the Robustness of Zero-Shot Machine-Generated Text Detectors.

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[DOI]

CoRR, 2023

HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation.

[BibT_eX]

[DOI]

Yifan Zhang

Bryan Hooi

CoRR, 2023

Model-free Test Time Adaptation for Out-Of-Distribution Detection.

[BibT_eX]

[DOI]

CoRR, 2023

A Critical Look at Classic Test-Time Adaptation Methods in Semantic Segmentation.

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[DOI]

CoRR, 2023

Can pre-trained models assist in dataset distillation?

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[DOI]

CoRR, 2023

Illumination Distillation Framework for Nighttime Person Re-Identification and A New Benchmark.

[BibT_eX]

[DOI]

CoRR, 2023

Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment.

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[DOI]

CoRR, 2023

Model-Contrastive Federated Domain Adaptation.

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[DOI]

CoRR, 2023

Expanding Small-Scale Datasets with Guided Imagination.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Domain-Specific Risk Minimization for Domain Generalization.

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[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation.

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[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Free Lunch for Domain Adversarial Training: Environment Label Smoothing.

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Stable Test-time Adaptation in Dynamic Wild World.

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[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract).

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[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Dataset Quantization.

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[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Disentangling Writer and Character Styles for Handwriting Generation.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning.

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[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Focal and efficient IOU loss for accurate bounding box regression.

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[DOI]

Neurocomputing, 2022

The Impact of Symbolic Representations on In-context Learning for Few-shot Reasoning.

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[DOI]

CoRR, 2022

Domain-Specific Risk Minimization.

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[DOI]

CoRR, 2022

Quantized Adaptive Subgradient Algorithms and Their Applications.

[BibT_eX]

[DOI]

CoRR, 2022

Boost Test-Time Performance with Closed-Loop Inference.

[BibT_eX]

[DOI]

CoRR, 2022

Can Transformers be Strong Treatment Effect Estimators?

[BibT_eX]

[DOI]

CoRR, 2022

Multi-scale Multi-target Domain Adaptation for Angle Closure Classification.

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[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition.

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[DOI]

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

Efficient Test-Time Model Adaptation without Forgetting.

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[DOI]

Proceedings of the International Conference on Machine Learning, 2022

How Well Does Self-Supervised Pre-Training Perform with Streaming Data?

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[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation.

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[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Principled Disentanglement for Domain Generalization.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving.

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[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Price Learning-based Incentive Mechanism for Mobile Crowd Sensing.

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[DOI]

Yifan Zhang

Xinglin Zhang

ACM Trans. Sens. Networks, 2021

Online Adaptive Asymmetric Active Learning With Limited Budgets.

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[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Disturbance-immune weight sharing for neural architecture search.

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[DOI]

Neural Networks, 2021

Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision.

[BibT_eX]

[DOI]

CoRR, 2021

How Well Self-Supervised Pre-Training Performs with Streaming Data?

[BibT_eX]

[DOI]

CoRR, 2021

Learning Domain Invariant Representations for Generalizable Person Re-Identification.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Defense Transformers for Counterattacking Adversarial Examples.

[BibT_eX]

[DOI]

CoRR, 2021

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning.

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[DOI]

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

No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data.

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[DOI]

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

Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling.

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[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

AdaXpert: Adapting Neural Architecture for Growing Data.

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[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

BiCrowd: Online Biobjective Incentive Mechanism for Mobile Crowdsensing.

[BibT_eX]

[DOI]

Yifan Zhang

Xinglin Zhang

Feng Li

IEEE Internet Things J., 2020

COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19.

[BibT_eX]

[DOI]

CoRR, 2020

Relation-Aware Transformer for Portfolio Policy Learning.

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[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

BundleSense: A Task-Bundling-Based Incentive Mechanism for Mobile Crowd Sensings.

[BibT_eX]

[DOI]

Yifan Zhang

Xinglin Zhang

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

2019

Adaptive Cost-Sensitive Online Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

Multi-marginal Wasserstein GAN.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data.

[BibT_eX]

[DOI]

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

Yifan Zhang

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