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ORCIDJieyu Zhao
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2020 – today
- 2024
[j46]Xuanyuan Xie, Jieyu Zhao:
GDUI: Guided Diffusion Model for Unlabeled Images. Algorithms 17(3): 125 (2024)- [j45]Md. Khairul Islam, Andrew Wang, Tianhao Wang, Yangfeng Ji, Judy Fox, Jieyu Zhao:
Does Differential Privacy Impact Bias in Pretrained Language Models? IEEE Data Eng. Bull. 47(2): 125-137 (2024) - [j44]Hao Chen, Jieyu Zhao
, Kangxin Chen, Yu Chen:
Self-supervised rotation-equivariant spherical vector network for learning canonical 3D point cloud orientation. Eng. Appl. Artif. Intell. 128: 107529 (2024) - [j43]Xulun Ye, Jieyu Zhao, Jiangbo Qian, Yuqi Li:
SoftmaxU: Open softmax to be aware of unknowns. Eng. Appl. Artif. Intell. 133: 108594 (2024) - [j42]Nongxiao Wang, Xulun Ye, Jieyu Zhao, Qing Wang:
Semantic Spectral Clustering with Contrastive Learning and Neighbor Mining. Neural Process. Lett. 56(2): 141 (2024) - [j41]Hao Chen, Jieyu Zhao, Qiang Zhang:
Rotation-equivariant spherical vector networks for objects recognition with unknown poses. Vis. Comput. 40(3): 2089-2101 (2024) - [c64]Ziyi Liu, Soumya Sanyal, Isabelle Lee, Yongkang Du, Rahul Gupta, Yang Liu, Jieyu Zhao:
Self-contradictory reasoning evaluation and detection. EMNLP (Findings) 2024: 3725-3742 - [c63]Ziyi Liu, Abhishek Anand, Pei Zhou, Jen-tse Huang, Jieyu Zhao:
InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context. EMNLP 2024: 6718-6746 - [c62]Huy Nghiem, John Prindle, Jieyu Zhao, Hal Daumé III:
"You Gotta be a Doctor, Lin" : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations. EMNLP 2024: 7268-7287 - [c61]Zhaotian Weng, Zijun Gao, Jerone Theodore Alexander Andrews, Jieyu Zhao:
Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective. EMNLP 2024: 15669-15680 - [c60]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c59]Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang:
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate. ICML 2024 - [c58]Nongxiao Wang, Xulun Ye, Jieyu Zhao, Qing Wang:
Few Shot Contrastive Spectral Clustering with Meta Learning and Neighbor Mining. IJCNN 2024: 1-8 - [c57]Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen R. McKeown, Rui Zhang:
Fair Abstractive Summarization of Diverse Perspectives. NAACL-HLT 2024: 3404-3426 - [c56]Taiwei Shi, Kai Chen, Jieyu Zhao:
Safer-Instruct: Aligning Language Models with Automated Preference Data. NAACL-HLT 2024: 7636-7651 - [i36]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i35]Ziyi Liu, Abhishek Anand, Pei Zhou, Jen-tse Huang, Jieyu Zhao:
InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context. CoRR abs/2406.12203 (2024) - [i34]Huy Nghiem, John Prindle, Jieyu Zhao, Hal Daumé III:
"You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations. CoRR abs/2406.12232 (2024) - [i33]Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Jingang Wang, Zhenyu Chen, Jieyu Zhao, Hui Xiong:
Rethinking LLM-based Preference Evaluation. CoRR abs/2407.01085 (2024) - [i32]Zhaotian Weng, Zijun Gao, Jerone T. A. Andrews, Jieyu Zhao:
Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective. CoRR abs/2407.02814 (2024) - [i31]Yubo Zhang, Shudi Hou, Mingyu Derek Ma, Wei Wang, Muhao Chen, Jieyu Zhao:
CLIMB: A Benchmark of Clinical Bias in Large Language Models. CoRR abs/2407.05250 (2024) - [i30]Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah A. Smith, Chiyuan Zhang:
MUSE: Machine Unlearning Six-Way Evaluation for Language Models. CoRR abs/2407.06460 (2024) - [i29]Md. Khairul Islam, Andrew Wang, Tianhao Wang, Yangfeng Ji, Judy Fox, Jieyu Zhao:
Does Differential Privacy Impact Bias in Pretrained NLP Models? CoRR abs/2410.18749 (2024) - 2023
- [j40]Lingfeng Huang, Jieyu Zhao, Yu Chen:
MixFormer: A Self-Attentive Convolutional Network for 3D Mesh Object Recognition. Algorithms 16(3): 171 (2023) - [j39]Xikai Ma, Jieyu Zhao, Yiqing Teng, Li Yao:
Multi-Level Implicit Function for Detailed Human Reconstruction by Relaxing SMPL Constraints. Comput. Graph. Forum 42(7) (2023) - [j38]Xulun Ye, Jieyu Zhao:
Heterogeneous clustering via adversarial deep Bayesian generative model. Frontiers Comput. Sci. 17(3): 173322 (2023) - [j37]Hao Chen, Jieyu Zhao:
3D Mesh classification and panoramic image segmentation using spherical vector networks with rotation-equivariant self-attention mechanism. J. King Saud Univ. Comput. Inf. Sci. 35(5): 101546 (2023) - [j36]Xulun Ye, Jieyu Zhao:
Graph Convolutional Network With Unknown Class Number. IEEE Trans. Multim. 25: 4800-4813 (2023) - [c55]Alexander Kwako, Yixin Wan, Jieyu Zhao, Mark Hansen, Kai-Wei Chang, Li Cai:
Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment? BEA@ACL 2023: 668-681 - [c54]Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger:
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models. EACL 2023: 1565-1588 - [c53]Sandra Sandoval, Jieyu Zhao, Marine Carpuat, Hal Daumé III:
A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation. EMNLP 2023: 3933-3945 - [c52]Yixin Wan, Jieyu Zhao, Aman Chadha, Nanyun Peng, Kai-Wei Chang:
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems. EMNLP (Findings) 2023: 9677-9705 - [c51]Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang:
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. NeurIPS 2023 - [i28]Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang:
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. CoRR abs/2306.13229 (2023) - [i27]Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang:
Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making. CoRR abs/2309.03426 (2023) - [i26]Yixin Wan, Jieyu Zhao, Aman Chadha, Nanyun Peng, Kai-Wei Chang:
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems. CoRR abs/2310.05280 (2023) - [i25]Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen R. McKeown, Rui Zhang:
Fair Abstractive Summarization of Diverse Perspectives. CoRR abs/2311.07884 (2023) - [i24]Taiwei Shi, Kai Chen, Jieyu Zhao:
Safer-Instruct: Aligning Language Models with Automated Preference Data. CoRR abs/2311.08685 (2023) - [i23]Ziyi Liu, Isabelle Lee, Yongkang Du, Soumya Sanyal, Jieyu Zhao:
SCORE: A framework for Self-Contradictory Reasoning Evaluation. CoRR abs/2311.09603 (2023) - [i22]Yang Trista Cao, Anna Sotnikova, Jieyu Zhao, Linda X. Zou, Rachel Rudinger, Hal Daumé III:
Multilingual large language models leak human stereotypes across language boundaries. CoRR abs/2312.07141 (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, Zhiping 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
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