Jindong Wang

Orcid: 0000-0002-4833-0880

Affiliations:

Microsoft Research Asia, Beijing, China
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China (former)
Beijing Key Laboratory of Mobile Computing and Pervasive Device, Beijing, China (former)
University of Chinese Academy of Sciences, Beijing, China (former)

According to our database¹, Jindong Wang authored at least 137 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Personalized Federated Learning With Adaptive Batchnorm for Healthcare.

[BibT_eX]

[DOI]

Dimitrios Dimitriadis

Tao Qin

IEEE Trans. Big Data, December, 2024

MetaFed: Federated Learning Among Federations With Cyclic Knowledge Distillation for Personalized Healthcare.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., November, 2024

A Survey on Evaluation of Large Language Models.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., June, 2024

Diversify: A General Framework for Time Series Out-of-Distribution Detection and Generalization.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

Exploring Vision-Language Models for Imbalanced Learning.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., January, 2024

Boosting Cross-Domain Speech Recognition With Self-Supervision.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2024

PromptBench: A Unified Library for Evaluation of Large Language Models.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2024

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2024

Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations?

[BibT_eX]

[DOI]

CoRR, 2024

On the Diversity of Synthetic Data and its Impact on Training Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

StringLLM: Understanding the String Processing Capability of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

ISC4DGF: Enhancing Directed Grey-box Fuzzing with LLM-Driven Initial Seed Corpus Generation.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Evaluating Large Language Models in Code Generation Tasks.

[BibT_eX]

[DOI]

CoRR, 2024

Time Series Analysis for Education: Methods, Applications, and Future Directions.

[BibT_eX]

[DOI]

CoRR, 2024

Beyond Metrics: Evaluating LLMs' Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios.

[BibT_eX]

[DOI]

CoRR, 2024

Slight Corruption in Pre-training Data Makes Better Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

CulturePark: Boosting Cross-cultural Understanding in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Learning with Noisy Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing Agents.

[BibT_eX]

[DOI]

CoRR, 2024

CultureLLM: Incorporating Cultural Differences into Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

On Catastrophic Inheritance of Large Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

TrustLLM: Trustworthiness in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.

[BibT_eX]

[DOI]

Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024

NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Dynamic Evaluation of Large Language Models by Meta Probing Agents.

[BibT_eX]

[DOI]

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

CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents.

[BibT_eX]

[DOI]

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

Open-Vocabulary Calibration for Fine-tuned CLIP.

[BibT_eX]

[DOI]

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

Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup.

[BibT_eX]

[DOI]

Damien Teney

Jindong Wang

Ehsan Abbasnejad

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

The Good, The Bad, and Why: Unveiling Emotions in Generative AI.

[BibT_eX]

[DOI]

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

Position: TrustLLM: Trustworthiness in Large Language Models.

[BibT_eX]

[DOI]

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

A General Framework for Learning from Weak Supervision.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Supervised Knowledge Makes Large Language Models Better In-context Learners.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AgentReview: Exploring Peer Review Dynamics with LLM Agents.

[BibT_eX]

[DOI]

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

SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models.

[BibT_eX]

[DOI]

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

Detoxifying Large Language Models via Knowledge Editing.

[BibT_eX]

[DOI]

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

MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms.

[BibT_eX]

[DOI]

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

2023

Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

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

Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

Generalizing to Unseen Domains: A Survey on Domain Generalization.

[BibT_eX]

[DOI]

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

Memory-Guided Multi-View Multi-Domain Fake News Detection.

[BibT_eX]

[DOI]

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

A Mutual Learning Framework for Pruned and Quantized Networks.

[BibT_eX]

[DOI]

Xiaohai Li

Yiqiang Chen

Jindong Wang

J. Comput. Sci. Technol., April, 2023

Domain Generalization for Activity Recognition via Adaptive Feature Fusion.

[BibT_eX]

[DOI]

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

Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2023

Enhancing Few-shot CLIP with Semantic-Aware Fine-Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey of Heterogeneous Transfer Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.

[BibT_eX]

[DOI]

CoRR, 2023

ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Meta Semantic Template for Evaluation of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

DyVal: Graph-informed Dynamic Evaluation of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models.

[BibT_eX]

[DOI]

CoRR, 2023

Frustratingly Easy Model Generalization by Dummy Risk Minimization.

[BibT_eX]

[DOI]

CoRR, 2023

EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus.

[BibT_eX]

[DOI]

CoRR, 2023

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.

[BibT_eX]

[DOI]

CoRR, 2023

Out-of-Distribution Generalization in Text Classification: Past, Present, and Future.

[BibT_eX]

[DOI]

CoRR, 2023

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.

[BibT_eX]

[DOI]

CoRR, 2023

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2023

A Tutorial on Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models.

[BibT_eX]

[DOI]

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

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.

[BibT_eX]

[DOI]

Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

Domain-Specific Risk Minimization for Domain Generalization.

[BibT_eX]

[DOI]

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

Trustworthy Machine Learning: Robustness, Generalization, and Interpretability.

[BibT_eX]

[DOI]

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

Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning.

[BibT_eX]

[DOI]

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

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Out-of-distribution Representation Learning for Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning.

[BibT_eX]

[DOI]

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

Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future.

[BibT_eX]

[DOI]

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

Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Domain-invariant Feature Exploration for Domain Generalization.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Hierarchical knowledge amalgamation with dual discriminative feature alignment.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

FIXED: Frustratingly Easy Domain Generalization with Mixup.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.

[BibT_eX]

[DOI]

CoRR, 2022

Domain-Specific Risk Minimization.

[BibT_eX]

[DOI]

CoRR, 2022

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.

[BibT_eX]

[DOI]

CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark.

[BibT_eX]

[DOI]

CoRR, 2022

Equivariant Disentangled Transformation for Domain Generalization under Combination Shift.

[BibT_eX]

[DOI]

CoRR, 2022

DOPNet: Dynamic Optimized Pruning Net for Model Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE Smartworld, 2022

USB: A Unified Semi-supervised Learning Benchmark for Classification.

[BibT_eX]

[DOI]

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

Decoupled Federated Learning for ASR with Non-IID Data.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Wav2vec-S: Semi-Supervised Pre-Training for Low-Resource ASR.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Local and Global Alignments for Generalizable Sensor-Based Human Activity Recognition.

[BibT_eX]

[DOI]

Wang Lu

Jindong Wang

Yiqiang Chen

Proceedings of the IEEE International Conference on Acoustics, 2022

Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction.

[BibT_eX]

[DOI]

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

Margin Calibration for Long-Tailed Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Deep Subdomain Adaptation Network for Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Cross-domain activity recognition via substructural optimal transport.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Federated Learning with Adaptive Batchnorm for Personalized Healthcare.

[BibT_eX]

[DOI]

CoRR, 2021

Wav2vec-S: Semi-Supervised Pre-Training for Speech Recognition.

[BibT_eX]

[DOI]

CoRR, 2021

FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Invariant Representations across Domains and Tasks.

[BibT_eX]

[DOI]

CoRR, 2021

FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling.

[BibT_eX]

[DOI]

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

Learning Causal Semantic Representation for Out-of-Distribution Prediction.

[BibT_eX]

[DOI]

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

Cross-Domain Speech Recognition with Unsupervised Character-Level Distribution Matching.

[BibT_eX]

[DOI]

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Generalizing to Unseen Domains: A Survey on Domain Generalization.

[BibT_eX]

[DOI]

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

MixSpeech: Data Augmentation for Low-Resource Automatic Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

AdaRNN: Adaptive Learning and Forecasting of Time Series.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Transfer Learning with Dynamic Distribution Adaptation.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2020

FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2020

Learning Causal Semantic Representation for Out-of-Distribution Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

Learning to Match Distributions for Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2020

Joint Partial Optimal Transport for Open Set Domain Adaptation.

[BibT_eX]

[DOI]

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

Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep learning for sensor-based activity recognition: A survey.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Cross-position activity recognition with stratified transfer learning.

[BibT_eX]

[DOI]

Pervasive Mob. Comput., 2019

Multi-representation adaptation network for cross-domain image classification.

[BibT_eX]

[DOI]

Neural Networks, 2019

Transfer channel pruning for compressing deep domain adaptation models.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2019

Cross-Dataset Activity Recognition via Adaptive Spatial-Temporal Transfer Learning.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

DrowsyDet: A Mobile Application for Real-time Driver Drowsiness Detection.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE SmartWorld, 2019

Transfer Channel Pruning for Compressing Deep Domain Adaptation Models.

[BibT_eX]

[DOI]

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Easy Transfer Learning By Exploiting Intra-Domain Structures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Transfer Learning with Dynamic Adversarial Adaptation Network.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

OKRELM: online kernelized and regularized extreme learning machine for wearable-based activity recognition.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2018

Stratified Transfer Learning for Cross-domain Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications, 2018

Visual Domain Adaptation with Manifold Embedded Distribution Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Deep Transfer Learning for Cross-domain Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Crowd Science and Engineering, 2018

2017

BrainStorm: a psychosocial game suite design for non-invasive cross-generational cognitive capabilities data collection.

[BibT_eX]

[DOI]

J. Exp. Theor. Artif. Intell., 2017

Weak multipath effect identification for indoor distance estimation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE SmartWorld, 2017

Balanced Distribution Adaptation for Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Less Annotation on Personalized Activity Recognition Using Context Data.

[BibT_eX]

[DOI]

Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

A Study of Players' Experiences During Brain Games Play.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

OCEAN: a new opportunistic computing model for wearable activity recognition.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

Jindong Wang

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