2024
Semantic Spectral Clustering with Contrastive Learning and Neighbor Mining.
Neural Process. Lett., April, 2024
Rotation-equivariant spherical vector networks for objects recognition with unknown poses.
Vis. Comput., March, 2024
GDUI: Guided Diffusion Model for Unlabeled Images.
Algorithms, March, 2024
SoftmaxU: Open softmax to be aware of unknowns.
Eng. Appl. Artif. Intell., 2024
Self-supervised rotation-equivariant spherical vector network for learning canonical 3D point cloud orientation.
Eng. Appl. Artif. Intell., 2024
Does Differential Privacy Impact Bias in Pretrained Language Models?
IEEE Data Eng. Bull., 2024
Political-LLM: Large Language Models in Political Science.
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CoRR, 2024
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration.
CoRR, 2024
Does Differential Privacy Impact Bias in Pretrained NLP Models?
CoRR, 2024
MUSE: Machine Unlearning Six-Way Evaluation for Language Models.
CoRR, 2024
CLIMB: A Benchmark of Clinical Bias in Large Language Models.
CoRR, 2024
Rethinking LLM-based Preference Evaluation.
CoRR, 2024
TrustLLM: Trustworthiness in Large Language Models.
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CoRR, 2024
Fair Abstractive Summarization of Diverse Perspectives.
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Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Safer-Instruct: Aligning Language Models with Automated Preference Data.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Few Shot Contrastive Spectral Clustering with Meta Learning and Neighbor Mining.
Proceedings of the International Joint Conference on Neural Networks, 2024
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Position: TrustLLM: Trustworthiness in Large Language Models.
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Proceedings of the Forty-first International Conference on Machine Learning, 2024
Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
"You Gotta be a Doctor, Lin" : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Self-contradictory reasoning evaluation and detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
A Vulnerability Propagation Impact Analysis Approach Based on Code Semantics with LLM.
Proceedings of the 11th International Conference on Dependable Systems and Their Applications, 2024
2023
Multi-Level Implicit Function for Detailed Human Reconstruction by Relaxing SMPL Constraints.
Comput. Graph. Forum, October, 2023
3D Mesh classification and panoramic image segmentation using spherical vector networks with rotation-equivariant self-attention mechanism.
J. King Saud Univ. Comput. Inf. Sci., May, 2023
MixFormer: A Self-Attentive Convolutional Network for 3D Mesh Object Recognition.
Algorithms, March, 2023
Graph Convolutional Network With Unknown Class Number.
IEEE Trans. Multim., 2023
Heterogeneous clustering via adversarial deep Bayesian generative model.
Frontiers Comput. Sci., 2023
Multilingual large language models leak human stereotypes across language boundaries.
CoRR, 2023
SCORE: A framework for Self-Contradictory Reasoning Evaluation.
CoRR, 2023
Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making.
CoRR, 2023
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment?
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023
2022
One-Step Adaptive Spectral Clustering Networks.
IEEE Signal Process. Lett., 2022
3D mesh transformer: A hierarchical neural network with local shape tokens.
Neurocomputing, 2022
A Transformer-Based Capsule Network for 3D Part-Whole Relationship Learning.
Entropy, 2022
Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN.
CoRR, 2022
DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation.
CoRR, 2022
Partial person re-identification using a pose-guided alignment network with mask learning.
Appl. Intell., 2022
A Contrastive Learning Method for the Visual Representation of 3D Point Clouds.
Algorithms, 2022
On Measures of Biases and Harms in NLP.
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Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
2021
Building Accountable Natural Language Processing Models: on Social Bias Detection and Mitigation.
PhD thesis, 2021
Mesh Convolution: A Novel Feature Extraction Method for 3D Nonrigid Object Classification.
IEEE Trans. Multim., 2021
Deep Bayesian Sparse Subspace Clustering.
IEEE Signal Process. Lett., 2021
What do Bias Measures Measure?
CoRR, 2021
3D Mesh Model Classification with a Capsule Network.
Algorithms, 2021
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Bayesian Adversarial Spectral Clustering With Unknown Cluster Number.
IEEE Trans. Image Process., 2020
Cooperation: A new force for boosting generative adversarial nets with dual-network structure.
IET Image Process., 2020
Short-Term Temporal Convolutional Networks for Dynamic Hand Gesture Recognition.
CoRR, 2020
Multilevel Image Dehazing Algorithm Using Conditional Generative Adversarial Networks.
IEEE Access, 2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs.
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Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
LOGAN: Local Group Bias Detection by Clustering.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Towards Understanding Gender Bias in Relation Extraction.
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Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
A Nonparametric Deep Generative Model for Multimanifold Clustering.
IEEE Trans. Cybern., 2019
Multi-manifold clustering: A graph-constrained deep nonparametric method.
Pattern Recognit., 2019
Transferring Common Spatial Filters With Semi-Supervised Learning for Zero-Training Motor Imagery Brain-Computer Interface.
IEEE Access, 2019
Gender Bias in Contextualized Word Embeddings.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Open Set Deep Learning with A Bayesian Nonparametric Generative Model.
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Examining Gender Bias in Languages with Grammatical Gender.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Efficient spectral reconstruction using a trichromatic camera via sample optimization.
Vis. Comput., 2018
Locally Linear Embedded Sparse Coding for Spectral Reconstruction From RGB Images.
IEEE Signal Process. Lett., 2018
A Nonparametric Model for Multi-Manifold Clustering with Mixture of Gaussians and Graph Consistency.
Entropy, 2018
Adversarial Removal of Gender from Deep Image Representations.
CoRR, 2018
Practical Radiometric Compensation for Projection Display on Textured Surfaces using a Multidimensional Model.
Comput. Graph. Forum, 2018
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Learning Gender-Neutral Word Embeddings.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
2017
Fast algorithm for 2D fragment assembly based on partial EMD.
Vis. Comput., 2017
A hand gesture recognition system based on canonical superpixel-graph.
Signal Process. Image Commun., 2017
Unsupervised video object segmentation by spatiotemporal graphical model.
Multim. Tools Appl., 2017
Hierarchical non-parametric Markov random field for image segmentation.
IET Comput. Vis., 2017
Parallel algorithms for anomalous subgraph detection.
Concurr. Comput. Pract. Exp., 2017
An optimization-driven approach for computing geodesic paths on triangle meshes.
Comput. Aided Des., 2017
Local and Global Sparsity for Deep Learning Networks.
Proceedings of the Image and Graphics - 9th International Conference, 2017
Non-rigid 3D Object Retrieval with a Learned Shape Descriptor.
Proceedings of the Image and Graphics - 9th International Conference, 2017
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
2016
Intrinsic Girth Function for Shape Processing.
ACM Trans. Graph., 2016
Hand gesture recognition based on canonical formed superpixel earth mover's distance.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016
2015
Video human segmentation based on multiple-cue integration.
Signal Process. Image Commun., 2015
iMIG: Toward an Adaptive Live Migration Method for KVM Virtual Machines.
Comput. J., 2015
2014
Rival Penalized Image Segmentation.
J. Multim., 2014
Swendsen-Wang Cuts sampling for spatially constrained Dirichlet process mixture models.
Graph. Model., 2014
Measuring length and girth of a tubular shape by quasi-helixes.
Comput. Graph., 2014
SyncSnap: Synchronized Live Memory Snapshots of Virtual Machine Networks.
Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014
2013
Unsupervised Natural Image Segmentation via Bayesian Ying-Yang Harmony Learning Theory.
Neurocomputing, 2013
2012
Segmentation of depth image using graph cut.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
Facial feature extraction with a depth AAM algorithm.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
2011
Image Segmentation with BYY-RPCL Framework.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011
Graph matching based a probabilistic spectral method.
Proceedings of the Seventh International Conference on Natural Computation, 2011
A polynomial-time algorithm for image segmentation using Ising models.
Proceedings of the Seventh International Conference on Natural Computation, 2011
Spatio-temporal video object segmentation using moving detection and graph cut methods.
Proceedings of the Seventh International Conference on Natural Computation, 2011
2010
A Novel Distribution of Local Invariant Features for Classification of Scene and Object Categories.
Proceedings of the Intelligent Information Processing V, 2010
Curvelet feature extraction for face recognition and facial expression recognition.
Proceedings of the Sixth International Conference on Natural Computation, 2010
Emotion generation for virtual human using Cognitive Map.
Proceedings of the Sixth International Conference on Natural Computation, 2010
A Chinese question-answering system with question classification and answer clustering.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
2009
Using a Robust Active Appearance Model for Face Processing.
Proceedings of the First IITA International Joint Conference on Artificial Intelligence, 2009
Bayesian Visual Inference and Attention.
Proceedings of the First IITA International Joint Conference on Artificial Intelligence, 2009
MRF Energy Minimization for Unsupervised Image Segmentation.
Proceedings of the Fifth International Conference on Natural Computation, 2009
Facial Feature Points Extraction.
Proceedings of the Fifth International Conference on Image and Graphics, 2009
A Novel Approach to Object/Background Segmentation Based on the Probabilistic Graphical Model.
Proceedings of the Fifth International Conference on Image and Graphics, 2009
2008
Live facial feature extraction.
Sci. China Ser. F Inf. Sci., 2008
Distinctive Image Region Features from Color Invariant Moments.
Proceedings of the Intelligent Information Processing IV, 2008
Image Segmentation Using Improved Potts Model.
Proceedings of the Fourth International Conference on Natural Computation, 2008
Interactive Image Segmentation with Conditional Random Fields.
Proceedings of the Fourth International Conference on Natural Computation, 2008
Interactive image segmentation via multi-cue dynamic integration.
Proceedings of the International Conference on Image Processing, 2008
Medical Image Retrieval Based on Latent Semantic Indexing.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008
2007
Iterative unit selection with unnatural prosody detection.
Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007
Video Object Segmentation with a Potts Model.
Proceedings of the Third International Conference on Natural Computation, 2007
2005
Dynamic Background Discrimination with a Recurrent Network.
Proceedings of the Advances in Natural Computation, First International Conference, 2005
A Novel Fuzzy-Connectedness-Based Incremental Clustering Algorithm for Large Databases.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005
2004
Segmenting Moving Objects with a Recurrent Stochastic Neural Network.
Proceedings of the Neural Information Processing, 11th International Conference, 2004
2001
A recurrent stochastic binary network.
Sci. China Ser. F Inf. Sci., 2001
1998
Reinforcement Learning with Self-Modifying Policies.
Proceedings of the Learning to Learn., 1998
1997
Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement.
Mach. Learn., 1997
1996
Learning in Stochastic Bit Stream Neural Networks.
Neural Networks, 1996
A recurrent network with stochastic weights.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
Multi-Agent Learning with the Success-Story Algorithm.
Proceedings of the Distributed Artificial Intelligence Meets Machine Learning, 1996
1995
Generalisation of A Class of Continuous Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995