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2020 – today
- 2023
[j36]Xulun Ye, Jieyu Zhao:
Heterogeneous clustering via adversarial deep Bayesian generative model. Frontiers Comput. Sci. 17(3): 173322 (2023)- 2022
- [j35]Feng Zhu, Jieyu Zhao, Zhengyi Cai:
A Contrastive Learning Method for the Visual Representation of 3D Point Clouds. Algorithms 15(3): 89 (2022) - [j34]Qilu Qiu, Jieyu Zhao
, Ye Zheng:
Partial person re-identification using a pose-guided alignment network with mask learning. Appl. Intell. 52(10): 10885-10900 (2022) - [j33]Yu Chen, Jieyu Zhao, Qilu Qiu:
A Transformer-Based Capsule Network for 3D Part-Whole Relationship Learning. Entropy 24(5): 678 (2022) - [j32]Yu Chen, Jieyu Zhao, Lingfeng Huang, Hao Chen:
3D mesh transformer: A hierarchical neural network with local shape tokens. Neurocomputing 514: 328-340 (2022) - [j31]Fuping Zhang, Jieyu Zhao, Xulun Ye, Hao Chen:
One-Step Adaptive Spectral Clustering Networks. IEEE Signal Process. Lett. 29: 2263-2267 (2022) - [c50]Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang:
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers. EMNLP (Findings) 2022: 1634-1640 - [c49]Sunipa Dev, Emily Sheng, Jieyu Zhao, Aubrie Amstutz, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang:
On Measures of Biases and Harms in NLP. AACL/IJCNLP (Findings) 2022: 246-267 - [i21]Jingnong Qu, Liunian Harold Li, Jieyu Zhao, Sunipa Dev, Kai-Wei Chang:
DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation. CoRR abs/2205.12617 (2022) - [i20]Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger:
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models. CoRR abs/2210.07269 (2022) - [i19]Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang:
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers. CoRR abs/2210.16298 (2022) - [i18]Anaelia Ovalle, Sunipa Dev, Jieyu Zhao, Majid Sarrafzadeh, Kai-Wei Chang:
Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN. CoRR abs/2211.08742 (2022) - 2021
- [b1]Jieyu Zhao:
Building Accountable Natural Language Processing Models: on Social Bias Detection and Mitigation. University of California, Los Angeles, USA, 2021 - [j30]Yang Zheng, Jieyu Zhao, Yu Chen, Chen Tang, Shushi Yu:
3D Mesh Model Classification with a Capsule Network. Algorithms 14(3): 99 (2021) - [j29]Xulun Ye, Shuhui Luo, Jieyu Zhao:
Deep Bayesian Sparse Subspace Clustering. IEEE Signal Process. Lett. 28: 1888-1892 (2021) - [j28]Yu Chen, Jieyu Zhao, Congwei Shi, Dongdong Yuan:
Mesh Convolution: A Novel Feature Extraction Method for 3D Nonrigid Object Classification. IEEE Trans. Multim. 23: 3098-3111 (2021) - [c48]Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang:
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ACL/IJCNLP (Findings) 2021: 4158-4164 - [c47]Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation. NAACL-HLT 2021: 3899-3916 - [i17]Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation. CoRR abs/2104.05232 (2021) - [i16]Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang:
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? CoRR abs/2106.01465 (2021) - [i15]Sunipa Dev, Emily Sheng, Jieyu Zhao, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Nanyun Peng, Kai-Wei Chang:
What do Bias Measures Measure? CoRR abs/2108.03362 (2021) - 2020
- [j27]Kailei Gan, Jieyu Zhao, Hao Chen:
Multilevel Image Dehazing Algorithm Using Conditional Generative Adversarial Networks. IEEE Access 8: 55221-55229 (2020) - [j26]Long Zhang, Jieyu Zhao, Xulun Ye, Yu Chen:
Cooperation: A new force for boosting generative adversarial nets with dual-network structure. IET Image Process. 14(6): 1073-1080 (2020) - [j25]Xulun Ye, Jieyu Zhao, Yu Chen, Lijun Guo:
Bayesian Adversarial Spectral Clustering With Unknown Cluster Number. IEEE Trans. Image Process. 29: 8506-8518 (2020) - [c46]Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang:
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. ACL 2020: 813-822 - [c45]Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang, Ahmed Hassan Awadallah:
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer. ACL 2020: 2896-2907 - [c44]Shengyu Jia, Tao Meng, Jieyu Zhao, Kai-Wei Chang:
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization. ACL 2020: 2936-2942 - [c43]Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Towards Understanding Gender Bias in Relation Extraction. ACL 2020: 2943-2953 - [c42]Jieyu Zhao, Kai-Wei Chang:
LOGAN: Local Group Bias Detection by Clustering. EMNLP (1) 2020: 1968-1977 - [c41]Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo:
Fairness-Aware Explainable Recommendation over Knowledge Graphs. SIGIR 2020: 69-78 - [i14]Yi Zhang, Chong Wang, Ye Zheng, Jieyu Zhao, Yuqi Li, Xijiong Xie:
Short-Term Temporal Convolutional Networks for Dynamic Hand Gesture Recognition. CoRR abs/2001.05833 (2020) - [i13]Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang:
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. CoRR abs/2004.14457 (2020) - [i12]Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang, Ahmed Hassan Awadallah:
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer. CoRR abs/2005.00699 (2020) - [i11]Shengyu Jia, Tao Meng, Jieyu Zhao, Kai-Wei Chang:
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization. CoRR abs/2005.06251 (2020) - [i10]Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo:
Fairness-Aware Explainable Recommendation over Knowledge Graphs. CoRR abs/2006.02046 (2020) - [i9]Jieyu Zhao, Kai-Wei Chang:
LOGAN: Local Group Bias Detection by Clustering. CoRR abs/2010.02867 (2020)
2010 – 2019
- 2019
- [j24]Xianghong Zhao, Jieyu Zhao, Weiming Cai, Shuangqing Wu:
Transferring Common Spatial Filters With Semi-Supervised Learning for Zero-Training Motor Imagery Brain-Computer Interface. IEEE Access 7: 58120-58130 (2019) - [j23]Xulun Ye, Jieyu Zhao:
Multi-manifold clustering: A graph-constrained deep nonparametric method. Pattern Recognit. 93: 215-227 (2019) - [j22]Xulun Ye, Jieyu Zhao, Long Zhang, Lijun Guo:
A Nonparametric Deep Generative Model for Multimanifold Clustering. IEEE Trans. Cybern. 49(7): 2664-2677 (2019) - [c40]Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Mitigating Gender Bias in Natural Language Processing: Literature Review. ACL (1) 2019: 1630-1640 - [c39]Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang:
Examining Gender Bias in Languages with Grammatical Gender. EMNLP/IJCNLP (1) 2019: 5275-5283 - [c38]Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez:
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations. ICCV 2019: 5309-5318 - [c37]Xulun Ye, Jieyu Zhao:
Open Set Deep Learning with A Bayesian Nonparametric Generative Model. ACM Multimedia 2019: 2133-2141 - [c36]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Contextualized Word Embeddings. NAACL-HLT (1) 2019: 629-634 - [i8]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Contextualized Word Embeddings. CoRR abs/1904.03310 (2019) - [i7]Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Mitigating Gender Bias in Natural Language Processing: Literature Review. CoRR abs/1906.08976 (2019) - [i6]Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang:
Examining Gender Bias in Languages with Grammatical Gender. CoRR abs/1909.02224 (2019) - [i5]Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Towards Understanding Gender Bias in Relation Extraction. CoRR abs/1911.03642 (2019) - 2018
- [j21]Yuqi Li, Aditi Majumder, M. Gopi, Chong Wang, Jieyu Zhao:
Practical Radiometric Compensation for Projection Display on Textured Surfaces using a Multidimensional Model. Comput. Graph. Forum 37(2): 365-375 (2018) - [j20]Xulun Ye, Jieyu Zhao, Yu Chen:
A Nonparametric Model for Multi-Manifold Clustering with Mixture of Gaussians and Graph Consistency. Entropy 20(11): 830 (2018) - [j19]Yuqi Li, Chong Wang, Jieyu Zhao:
Locally Linear Embedded Sparse Coding for Spectral Reconstruction From RGB Images. IEEE Signal Process. Lett. 25(3): 363-367 (2018) - [j18]Yuqi Li, Chong Wang, Jieyu Zhao, Qingshu Yuan:
Efficient spectral reconstruction using a trichromatic camera via sample optimization. Vis. Comput. 34(12): 1773-1783 (2018) - [c35]Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang:
Learning Gender-Neutral Word Embeddings. EMNLP 2018: 4847-4853 - [c34]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. NAACL-HLT (2) 2018: 15-20 - [i4]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. CoRR abs/1804.06876 (2018) - [i3]Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang:
Learning Gender-Neutral Word Embeddings. CoRR abs/1809.01496 (2018) - [i2]Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez:
Adversarial Removal of Gender from Deep Image Representations. CoRR abs/1811.08489 (2018) - 2017
- [j17]Bangquan Liu, Shuang-Min Chen, Shi-Qing Xin, Ying He, Zhen Liu, Jieyu Zhao:
An optimization-driven approach for computing geodesic paths on triangle meshes. Comput. Aided Des. 90: 105-112 (2017) - [j16]Jieyu Zhao, Jianxin Li, Baojian Zhou, Feng Chen, Paul Tomchik, Wuyang Ju:
Parallel algorithms for anomalous subgraph detection. Concurr. Comput. Pract. Exp. 29(3) (2017) - [j15]Xiangrong Wang, Jieyu Zhao:
Hierarchical non-parametric Markov random field for image segmentation. IET Comput. Vis. 11(8): 717-724 (2017) - [j14]Lijun Guo, Ting-Ting Cheng, Yuanjie Huang, Jieyu Zhao, Rong Zhang:
Unsupervised video object segmentation by spatiotemporal graphical model. Multim. Tools Appl. 76(1): 1037-1053 (2017) - [j13]Chong Wang, Zhong Liu, Minfeng Zhu, Jieyu Zhao, Shing-Chow Chan:
A hand gesture recognition system based on canonical superpixel-graph. Signal Process. Image Commun. 58: 87-98 (2017) - [j12]Meng Zhang, Shuang-Min Chen, Zhenyu Shu, Shi-Qing Xin, Jieyu Zhao, Guang Jin, Rong Zhang, Jürgen Beyerer:
Fast algorithm for 2D fragment assembly based on partial EMD. Vis. Comput. 33(12): 1601-1612 (2017) - [c33]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. EMNLP 2017: 2979-2989 - [c32]Xiangfu Shi, Jieyu Zhao, Long Zhang, Xulun Ye:
Non-rigid 3D Object Retrieval with a Learned Shape Descriptor. ICIG (2) 2017: 24-37 - [c31]Long Zhang, Jieyu Zhao, Xiangfu Shi, Xulun Ye:
Local and Global Sparsity for Deep Learning Networks. ICIG (2) 2017: 74-85 - [i1]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. CoRR abs/1707.09457 (2017) - 2016
- [j11]Shi-Qing Xin, Wenping Wang, Shuang-Min Chen, Jieyu Zhao, Zhenyu Shu:
Intrinsic Girth Function for Shape Processing. ACM Trans. Graph. 35(3): 25:1-25:14 (2016) - [c30]Chong Wang, Zhong Liu, Jieyu Zhao:
Hand gesture recognition based on canonical formed superpixel earth mover's distance. ICME 2016: 1-6 - 2015
- [j10]Jianxin Li, Jieyu Zhao, Yi Li, Lei Cui, Bo Li, Lu Liu, John Panneerselvam:
iMIG: Toward an Adaptive Live Migration Method for KVM Virtual Machines. Comput. J. 58(6): 1227-1242 (2015) - [j9]Lijun Guo, Ting-Ting Cheng, Bo Xiao, Rong Zhang, Jieyu Zhao:
Video human segmentation based on multiple-cue integration. Signal Process. Image Commun. 30: 166-177 (2015) - 2014
- [j8]Shi-Qing Xin, Shuang-Min Chen, Jieyu Zhao, Zhigeng Pan:
Measuring length and girth of a tubular shape by quasi-helixes. Comput. Graph. 38: 392-398 (2014) - [j7]Xiangrong Wang, Jieyu Zhao:
Swendsen-Wang Cuts sampling for spatially constrained Dirichlet process mixture models. Graph. Model. 76(5): 496-506 (2014) - [j6]Shaojun Zhu, Jieyu Zhao, Lijun Guo:
Rival Penalized Image Segmentation. J. Multim. 9(5): 736-745 (2014) - [c29]Bin Shi, Bo Li, Lei Cui, Jieyu Zhao, Jianxin Li:
SyncSnap: Synchronized Live Memory Snapshots of Virtual Machine Networks. HPCC/CSS/ICESS 2014: 490-497 - 2013
- [j5]Shaojun Zhu, Jieyu Zhao, Lijun Guo, Yuanyuan Zhang:
Unsupervised Natural Image Segmentation via Bayesian Ying-Yang Harmony Learning Theory. Neurocomputing 121: 532-539 (2013) - 2012
- [c28]Qiu Jin, Jieyu Zhao, Yuanyuan Zhang:
Facial feature extraction with a depth AAM algorithm. FSKD 2012: 1792-1796 - [c27]Jiangming Yu, Jieyu Zhao:
Segmentation of depth image using graph cut. FSKD 2012: 1934-1938 - 2011
- [c26]Peiwei Qin, Jieyu Zhao:
A polynomial-time algorithm for image segmentation using Ising models. ICNC 2011: 932-935 - [c25]Zhenhua Ren, Jieyu Zhao:
Graph matching based a probabilistic spectral method. ICNC 2011: 1512-1517 - [c24]Dingming Liu, Jieyu Zhao:
Spatio-temporal video object segmentation using moving detection and graph cut methods. ICNC 2011: 1859-1862 - [c23]Shaojun Zhu, Jieyu Zhao, Lijun Guo:
Image Segmentation with BYY-RPCL Framework. IScIDE 2011: 250-257 - 2010
- [c22]Kepei Zhang, Jieyu Zhao:
A Chinese question-answering system with question classification and answer clustering. FSKD 2010: 2692-2696 - [c21]Xianxing Wu, Jieyu Zhao:
Curvelet feature extraction for face recognition and facial expression recognition. ICNC 2010: 1212-1216 - [c20]Rui Luo, Jieyu Zhao:
Emotion generation for virtual human using Cognitive Map. ICNC 2010: 1994-1999 - [c19]Lijun Guo, Jieyu Zhao, Rong Zhang:
A Novel Distribution of Local Invariant Features for Classification of Scene and Object Categories. Intelligent Information Processing 2010: 308-315
2000 – 2009
- 2009
- [c18]Qiuxu Li, Jieyu Zhao:
A Novel Approach to Object/Background Segmentation Based on the Probabilistic Graphical Model. ICIG 2009: 162-167 - [c17]Shaojun Zhu, Jieyu Zhao:
Facial Feature Points Extraction. ICIG 2009: 195-199 - [c16]Qiuxu Li, Jieyu Zhao:
MRF Energy Minimization for Unsupervised Image Segmentation. ICNC (2) 2009: 67-73 - [c15]Jieyu Zhao, Jian You:
Bayesian Visual Inference and Attention. JCAI 2009: 390-393 - [c14]Shaojun Zhu, Jieyu Zhao:
Using a Robust Active Appearance Model for Face Processing. JCAI 2009: 465-468 - 2008
- [j4]Jieyu Zhao:
Live facial feature extraction. Sci. China Ser. F Inf. Sci. 51(5): 489-498 (2008) - [c13]Qin Chen, Xiaoying Tai, Baochuan Jiang, Gang Li, Jieyu Zhao:
Medical Image Retrieval Based on Latent Semantic Indexing. CSSE (4) 2008: 561-564 - [c12]Jieyu Zhao, Xiaowei Geng:
Interactive image segmentation via multi-cue dynamic integration. ICIP 2008: 3044-3047 - [c11]Xiaowei Geng, Jieyu Zhao:
Interactive Image Segmentation with Conditional Random Fields. ICNC (2) 2008: 96-101 - [c10]Xiangrong Wang, Jieyu Zhao:
Image Segmentation Using Improved Potts Model. ICNC (7) 2008: 352-356 - [c9]Lijun Guo, Z. Shi, Jieyu Zhao, Rong Zhang:
Distinctive Image Region Features from Color Invariant Moments. Intelligent Information Processing 2008: 165-173 - 2007
- [c8]Jieyu Zhao, Xiaoquan Wang:
Video Object Segmentation with a Potts Model. ICNC (2) 2007: 742-748 - [c7]Dacheng Lin, Yong Zhao, Frank K. Soong, Min Chu, Jieyu Zhao:
Iterative unit selection with unnatural prosody detection. INTERSPEECH 2007: 2909-2912 - 2005
- [c6]Yi-hong Dong, Xiaoying Tai, Jieyu Zhao:
A Novel Fuzzy-Connectedness-Based Incremental Clustering Algorithm for Large Databases. FSKD (1) 2005: 470-474 - [c5]Jieyu Zhao:
Dynamic Background Discrimination with a Recurrent Network. ICNC (2) 2005: 432-437 - 2004
- [c4]Jieyu Zhao:
Segmenting Moving Objects with a Recurrent Stochastic Neural Network. ICONIP 2004: 666-672 - 2001
- [j3]Jieyu Zhao:
A recurrent stochastic binary network. Sci. China Ser. F Inf. Sci. 44(5): 376-388 (2001)
1990 – 1999
- 1998
- [p1]Jürgen Schmidhuber, Jieyu Zhao, Nicol N. Schraudolph:
Reinforcement Learning with Self-Modifying Policies. Learning to Learn 1998: 293-309 - 1997
- [j2]Jürgen Schmidhuber, Jieyu Zhao, Marco A. Wiering:
Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement. Mach. Learn. 28(1): 105-130 (1997) - 1996
- [j1]Jieyu Zhao, John Shawe-Taylor, Max van Daalen:
Learning in Stochastic Bit Stream Neural Networks. Neural Networks 9(6): 991-998 (1996) - [c3]Jürgen Schmidhuber, Jieyu Zhao:
Multi-Agent Learning with the Success-Story Algorithm. ECAI Workshop LDAIS / ICMAS Workshop LIOME 1996: 82-93 - [c2]Jieyu Zhao, John Shawe-Taylor:
A recurrent network with stochastic weights. ICNN 1996: 1302-1307 - 1995
- [c1]John Shawe-Taylor, Jieyu Zhao:
Generalisation of A Class of Continuous Neural Networks. NIPS 1995: 267-273
Coauthor Index