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2020 – today
- 2023
[i45]Miao Yin, Burak Uzkent, Yilin Shen, Hongxia Jin, Bo Yuan:
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer. CoRR abs/2301.05345 (2023)- [i44]Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang:
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation. CoRR abs/2301.13166 (2023) - 2022
- [c160]Zhan Shi, Yilin Shen, Hongxia Jin, Xiaodan Zhu:
Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations. AAAI 2022: 2253-2261 - [c159]Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin:
ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs. AAAI 2022: 10672-10680 - [c158]Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin:
Text-Based Interactive Recommendation via Offline Reinforcement Learning. AAAI 2022: 11694-11702 - [c157]Dawei Li, Wenbo Li, Hongxia Jin:
Foreground-Specialized Model Imitation for Instance Segmentation. ACCV (7) 2022: 398-413 - [c156]Jing Zhu, Wenbo Li, Hongxia Jin:
Dual-lens Reference Image Super-Resolution. BMVC 2022: 359 - [c155]Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, Hongxia Jin:
Lite-MDETR: A Lightweight Multi-Modal Detector. CVPR 2022: 12196-12205 - [c154]Ting Hua, Yen-Chang Hsu, Felicity Wang, Qian Lou, Yilin Shen, Hongxia Jin:
Numerical Optimizations for Weighted Low-rank Estimation on Language Models. EMNLP 2022: 1404-1416 - [c153]Kalpa Gunaratna, Vijay Srinivasan, Akhila Yerukola, Hongxia Jin:
Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling. EMNLP (Findings) 2022: 3367-3378 - [c152]Yu Wang, Vijay Srinivasan, Hongxia Jin:
A Robust Semantic Frame Parsing Pipeline on a New Complex Twitter Dataset. ICKG 2022: 289-296 - [c151]Yu Wang, Vijay Srinivasan, Hongxia Jin:
A New Design of VQA System based on Weighted Contextual Features. ICKG 2022: 297-304 - [c150]Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin:
Language model compression with weighted low-rank factorization. ICLR 2022 - [c149]Qian Lou, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin:
DictFormer: Tiny Transformer with Shared Dictionary. ICLR 2022 - [c148]Yu Wang, Vijay Srinivasan, Hongxia Jin:
A New Concept of Knowledge based Question Answering (KBQA) System for Multi-hop Reasoning. NAACL-HLT 2022: 4007-4017 - [i43]Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, Hongxia Jin:
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. CoRR abs/2201.01420 (2022) - [i42]Peixi Xiong, Yilin Shen, Hongxia Jin:
MGA-VQA: Multi-Granularity Alignment for Visual Question Answering. CoRR abs/2201.10656 (2022) - [i41]Yen-Chang Hsu, James Seale Smith, Yilin Shen, Zsolt Kira, Hongxia Jin:
A Closer Look at Knowledge Distillation with Features, Logits, and Gradients. CoRR abs/2203.10163 (2022) - [i40]Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin:
Language model compression with weighted low-rank factorization. CoRR abs/2207.00112 (2022) - [i39]Kalpa Gunaratna, Vijay Srinivasan, Akhila Yerukola, Hongxia Jin:
Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling. CoRR abs/2210.10227 (2022) - [i38]Ting Hua, Yen-Chang Hsu, Felicity Wang, Qian Lou, Yilin Shen, Hongxia Jin:
Numerical Optimizations for Weighted Low-rank Estimation on Language Model. CoRR abs/2211.09718 (2022) - [i37]Yu Wang, Hongxia Jin:
A Robust Semantic Frame Parsing Pipeline on a New Complex Twitter Dataset. CoRR abs/2212.08987 (2022) - [i36]Yu Wang, Hongxia Jin:
Neural Coreference Resolution based on Reinforcement Learning. CoRR abs/2212.09028 (2022) - [i35]Yu Wang, Hongxia Jin:
Hybrid Rule-Neural Coreference Resolution System based on Actor-Critic Learning. CoRR abs/2212.10087 (2022) - 2021
- [c147]Yilin Shen, Yen-Chang Hsu, Avik Ray, Hongxia Jin:
Enhancing the generalization for Intent Classification and Out-of-Domain Detection in SLU. ACL/IJCNLP (1) 2021: 2443-2453 - [c146]Kalpa Gunaratna, Vijay Srinivasan, Sandeep Nama, Hongxia Jin:
Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones. CIKM 2021: 3038-3042 - [c145]Akhila Yerukola, Mason Bretan, Hongxia Jin:
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase. EACL 2021: 1852-1860 - [c144]Yu Wang, Yilin Shen, Hongxia Jin:
Multi-Step Spoken Language Understanding System Based on Adversarial Learning. ICASSP 2021: 7673-7677 - [c143]Yu Wang, Yilin Shen, Hongxia Jin:
An End-To-End Actor-Critic-Based Neural Coreference Resolution System. ICASSP 2021: 7848-7852 - [c142]James Seale Smith, Yen-Chang Hsu, Jonathan Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira:
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. ICCV 2021: 9354-9364 - [c141]Qian Lou, Yilin Shen, Hongxia Jin, Lei Jiang:
SAFENet: A Secure, Accurate and Fast Neural Network Inference. ICLR 2021 - [c140]Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon:
Negative Data Augmentation. ICLR 2021 - [c139]Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin:
Automatic Mixed-Precision Quantization Search of BERT. IJCAI 2021: 3427-3433 - [c138]Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, Hongxia Jin:
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. NAACL-HLT 2021: 2669-2678 - [i34]Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon:
Negative Data Augmentation. CoRR abs/2102.05113 (2021) - [i33]Kalpa Gunaratna, Yu Wang, Hongxia Jin:
Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web. CoRR abs/2103.15950 (2021) - [i32]Akhila Yerukola, Mason Bretan, Hongxia Jin:
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase. CoRR abs/2104.08268 (2021) - [i31]Yu Wang, Hongxia Jin:
A Coarse to Fine Question Answering System based on Reinforcement Learning. CoRR abs/2106.00257 (2021) - [i30]James Seale Smith, Yen-Chang Hsu, Jonathan Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira:
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. CoRR abs/2106.09701 (2021) - [i29]Yilin Shen, Yen-Chang Hsu, Avik Ray, Hongxia Jin:
Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU. CoRR abs/2106.14464 (2021) - [i28]Yu Wang, Yilin Shen, Hongxia Jin:
An Adversarial Learning based Multi-Step Spoken Language Understanding System through Human-Computer Interaction. CoRR abs/2106.14611 (2021) - [i27]Kalpa Gunaratna, Vijay Srinivasan, Sandeep Nama, Hongxia Jin:
Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones. CoRR abs/2108.10395 (2021) - [i26]Junjiao Tian, Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira:
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data. CoRR abs/2110.15231 (2021) - [i25]Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin:
ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs. CoRR abs/2112.07622 (2021) - [i24]Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin:
Automatic Mixed-Precision Quantization Search of BERT. CoRR abs/2112.14938 (2021) - 2020
- [j10]Jianbo Yuan, Zhiwei Jin, Han Guo, Hongxia Jin, Xianchao Zhang, Tristram H. Smith, Jiebo Luo
:
Constructing biomedical domain-specific knowledge graph with minimum supervision. Knowl. Inf. Syst. 62(1): 317-336 (2020) - [j9]Yu Wang, Yue Deng, Yilin Shen, Hongxia Jin:
A New Concept of Multiple Neural Networks Structure Using Convex Combination. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4968-4979 (2020) - [c137]Tong Yu, Yilin Shen, Hongxia Jin:
Towards Hands-Free Visual Dialog Interactive Recommendation. AAAI 2020: 1137-1144 - [c136]Yu Wang, Yilin Shen, Hongxia Jin:
An Interpretable Multimodal Visual Question Answering System using Attention-based Weighted Contextual Features. AAMAS 2020: 2038-2040 - [c135]Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, Boxin Shi:
MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis. CVPR 2020: 7738-7746 - [c134]Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira:
Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data. CVPR 2020: 10948-10957 - [c133]Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, Boxin Shi:
Conditional Image Repainting via Semantic Bridge and Piecewise Value Function. ECCV (9) 2020: 467-482 - [c132]Wei-Jen Ko, Avik Ray, Yilin Shen, Hongxia Jin:
Generating Dialogue Responses from a Semantic Latent Space. EMNLP (1) 2020: 4339-4349 - [c131]Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, Xiaofeng Xu:
PGLP: Customizable and Rigorous Location Privacy Through Policy Graph. ESORICS (1) 2020: 655-676 - [c130]Yu Wang, Yilin Shen, Hongxia Jin:
A BI-Model Approach for Handling Unknown Slot Values in Dialogue State Tracking. ICASSP 2020: 8019-8023 - [c129]Yu Wang, Yilin Shen, Hongxia Jin:
An Interactive Adversarial Reward Learning-Based Spoken Language Understanding System. INTERSPEECH 2020: 1565-1569 - [c128]Yi Wei, Wenbo Li, Ming-Ching Chang, Hongxia Jin, Siwei Lyu:
Explainable and Efficient Sequential Correlation Network for 3D Single Person Concurrent Activity Detection. IROS 2020: 8970-8975 - [c127]Julian A. Ramos Rojas, Johana Rosas, Yilin Shen, Hongxia Jin, Anind K. Dey:
Activity Recommendation: Optimizing Life in the Long Term. PerCom 2020: 1-10 - [i23]Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira:
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data. CoRR abs/2002.11297 (2020) - [i22]Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, Xiaofeng Xu:
Customizable and Rigorous Location Privacy through Policy Graph. CoRR abs/2005.01263 (2020) - [i21]Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin:
Reward Constrained Interactive Recommendation with Natural Language Feedback. CoRR abs/2005.01618 (2020) - [i20]Kechen Qin, Yu Wang, Cheng Li, Kalpa Gunaratna, Hongxia Jin, Virgil Pavlu, Javed A. Aslam:
A Complex KBQA System using Multiple Reasoning Paths. CoRR abs/2005.10970 (2020) - [i19]Wei-Jen Ko, Avik Ray, Yilin Shen, Hongxia Jin:
Generating Dialogue Responses from a Semantic Latent Space. CoRR abs/2010.01658 (2020) - [i18]Yilin Shen, Wenhu Chen, Hongxia Jin:
Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN. CoRR abs/2010.08101 (2020)
2010 – 2019
- 2019
- [j8]Walid Shalaby, Wlodek Zadrozny, Hongxia Jin:
Beyond word embeddings: learning entity and concept representations from large scale knowledge bases. Inf. Retr. J. 22(6): 525-542 (2019) - [c126]Yu Wang, Hongxia Jin:
A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System. AAAI 2019: 7224-7232 - [c125]Avik Ray, Yilin Shen, Hongxia Jin:
Fast Domain Adaptation of Semantic Parsers via Paraphrase Attention. DeepLo@EMNLP-IJCNLP 2019: 94-103 - [c124]Yu Wang, Yue Deng, Yilin Shen, Hongxia Jin:
A New Concept of Convex based Multiple Neural Networks Structure. AAMAS 2019: 1306-1314 - [c123]Yilin Shen, Xiangyu Zeng, Hongxia Jin:
A Progressive Model to Enable Continual Learning for Semantic Slot Filling. EMNLP/IJCNLP (1) 2019: 1279-1284 - [c122]Yue Deng, KaWai Chen, Yilin Shen, Hongxia Jin:
Adversarial Multi-label Prediction for Spoken and Visual Signal Tagging. ICASSP 2019: 3252-3256 - [c121]Yilin Shen, Yu Wang, Abhishek Patel, Hongxia Jin:
SLiQA-I: Towards Cold-start Development of End-to-end Spoken Language Interface for Question Answering. ICASSP 2019: 7195-7199 - [c120]Ramprasaath Ramasamy Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Shalini Ghosh, Larry P. Heck, Dhruv Batra, Devi Parikh:
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded. ICCV 2019: 2591-2600 - [c119]Yue Deng, Yilin Shen, Hongxia Jin:
Learning Assistance from an Adversarial Critic for Multi-Outputs Prediction. IJCAI 2019: 4954-4960 - [c118]Yanping Chen, Hongxia Jin:
Rare Sound Event Detection Using Deep Learning and Data Augmentation. INTERSPEECH 2019: 619-623 - [c117]Avik Ray, Yilin Shen, Hongxia Jin:
Iterative Delexicalization for Improved Spoken Language Understanding. INTERSPEECH 2019: 1183-1187 - [c116]Yilin Shen, Wenhu Chen, Hongxia Jin:
Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance. INTERSPEECH 2019: 1328-1332 - [c115]Tong Yu, Yilin Shen, Hongxia Jin:
A Visual Dialog Augmented Interactive Recommender System. KDD 2019: 157-165 - [c114]Tong Yu, Yilin Shen, Ruiyi Zhang, Xiangyu Zeng, Hongxia Jin:
Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning. ACM Multimedia 2019: 39-47 - [c113]Yilin Shen, Sandeep Nama, Hongxia Jin:
Teach Once and Use Everywhere - Building AI Assistant Eco-Skills via User Instruction and Demonstration. MobiSys 2019: 606-607 - [c112]Yilin Shen, Avik Ray, Hongxia Jin, Sandeep Nama:
SkillBot: Towards Automatic Skill Development via User Demonstration. NAACL-HLT (Demonstrations) 2019: 105-109 - [c111]Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen:
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning. NeurIPS 2019: 15188-15198 - [i17]Ramprasaath R. Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Dhruv Batra, Devi Parikh:
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded. CoRR abs/1902.03751 (2019) - [i16]Avik Ray, Yilin Shen, Hongxia Jin:
Iterative Delexicalization for Improved Spoken Language Understanding. CoRR abs/1910.07060 (2019) - 2018
- [j7]Vijay Srinivasan, Christian Koehler, Hongxia Jin:
RuleSelector: Selecting Conditional Action Rules from User Behavior Patterns. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(1): 35:1-35:34 (2018) - [c110]Yilin Shen, Avik Ray, Abhishek Patel, Hongxia Jin:
CRUISE: Cold-Start New Skill Development via Iterative Utterance Generation. ACL (4) 2018: 105-110 - [c109]Yu Wang, Hongxia Jin:
A Boosting-based Deep Neural Networks Algorithm for Reinforcement Learning. ACC 2018: 1065-1071 - [c108]Yu Wang, Abhishek Patel, Hongxia Jin:
A New Concept of Deep Reinforcement Learning based Augmented General Tagging System. COLING 2018: 1683-1693 - [c107]Bailin Wang, Wei Lu, Yu Wang, Hongxia Jin:
A Neural Transition-based Model for Nested Mention Recognition. EMNLP 2018: 1011-1017 - [c106]Shiva Prasad Kasiviswanathan, Nina Narodytska, Hongxia Jin:
Network Approximation using Tensor Sketching. IJCAI 2018: 2319-2325 - [c105]Yue Deng, KaWai Chen, Yilin Shen, Hongxia Jin:
Adversarial Active Learning for Sequences Labeling and Generation. IJCAI 2018: 4012-4018 - [c104]Avik Ray, Yilin Shen, Hongxia Jin:
Learning Out-of-Vocabulary Words in Intelligent Personal Agents. IJCAI 2018: 4309-4315 - [c103]Yue Deng, Yilin Shen, KaWai Chen, Hongxia Jin:
Training Recurrent Neural Network through Moment Matching for NLP Applications. INTERSPEECH 2018: 3353-3357 - [c102]Yu Wang, Abhishek Patel, Yilin Shen, Hongxia Jin:
A Deep Reinforcement Learning Based Multimodal Coaching Model (DCM) for Slot Filling in Spoken Language Understanding(SLU). INTERSPEECH 2018: 3444-3448 - [c101]Avik Ray, Yilin Shen, Hongxia Jin:
Robust Spoken Language Understanding via Paraphrasing. INTERSPEECH 2018: 3454-3458 - [c100]Yilin Shen, Xiangyu Zeng, Yu Wang, Hongxia Jin:
User Information Augmented Semantic Frame Parsing Using Progressive Neural Networks. INTERSPEECH 2018: 3464-3468 - [c99]Yu Wang, Yilin Shen, Hongxia Jin:
A Bi-Model Based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling. NAACL-HLT (2) 2018: 309-314 - [c98]Yilin Shen, Yue Deng, Avik Ray, Hongxia Jin:
Interactive recommendation via deep neural memory augmented contextual bandits. RecSys 2018: 122-130 - [c97]Yilin Shen, Yanping Chen, Eamonn J. Keogh, Hongxia Jin:
Accelerating Time Series Searching with Large Uniform Scaling. SDM 2018: 234-242 - [i15]Walid Shalaby, Wlodek Zadrozny, Hongxia Jin:
Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases. CoRR abs/1801.00388 (2018) - [i14]Avik Ray, Yilin Shen, Hongxia Jin:
Robust Spoken Language Understanding via Paraphrasing. CoRR abs/1809.06444 (2018) - [i13]Yilin Shen, Xiangyu Zeng, Yu Wang, Hongxia Jin:
User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks. CoRR abs/1809.06559 (2018) - [i12]Bailin Wang, Wei Lu, Yu Wang, Hongxia Jin:
A Neural Transition-based Model for Nested Mention Recognition. CoRR abs/1810.01808 (2018) - [i11]Yu Wang, Abhishek Patel, Hongxia Jin:
A New Concept of Deep Reinforcement Learning based Augmented General Sequence Tagging System. CoRR abs/1812.10234 (2018) - [i10]Yu Wang, Yilin Shen, Hongxia Jin:
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling. CoRR abs/1812.10235 (2018) - 2017
- [j6]Mohammad Shokoohi-Yekta, Bing Hu, Hongxia Jin, Jun Wang, Eamonn J. Keogh:
Generalizing DTW to the multi-dimensional case requires an adaptive approach. Data Min. Knowl. Discov. 31(1): 1-31 (2017) - [j5]Dong Su, Jianneng Cao, Ninghui Li, Elisa Bertino, Min Lyu, Hongxia Jin:
Differentially Private K-Means Clustering and a Hybrid Approach to Private Optimization. ACM Trans. Priv. Secur. 20(4): 16:1-16:33 (2017) - [c96]Jianbo Yuan, Han Guo, Zhiwei Jin, Hongxia Jin, Xianchao Zhang, Jiebo Luo:
One-shot learning for fine-grained relation extraction via convolutional siamese neural network. IEEE BigData 2017: 2194-2199 - [c95]Neil Zhenqiang Gong, Altay Ozen, Yu Wu, Xiaoyu Cao, Richard Shin, Dawn Song, Hongxia Jin, Xuan Bao:
PIANO: Proximity-Based User Authentication on Voice-Powered Internet-of-Things Devices. ICDCS 2017: 2212-2219 - [c94]Yilin Shen, Yanping Chen, Eamonn J. Keogh, Hongxia Jin:
Searching Time Series with Invariance to Large Amounts of Uniform Scaling. ICDE 2017: 111-114 - [c93]Yue Deng, Yilin Shen, Hongxia Jin:
Disguise Adversarial Networks for Click-through Rate Prediction. IJCAI 2017: 1589-1595 - [c92]Shiva Prasad Kasiviswanathan, Kobbi Nissim, Hongxia Jin:
Private Incremental Regression. PODS 2017: 167-182 - [c91]Wei-Han Lee, Xiaochen Liu, Yilin Shen, Hongxia Jin, Ruby B. Lee:
Secure Pick Up: Implicit Authentication When You Start Using the Smartphone. SACMAT 2017: 67-78 - [c90]Pengfei Hu, Parth H. Pathak, Yilin Shen, Hongxia Jin, Prasant Mohapatra:
PCASA: Proximity Based Continuous and Secure Authentication of Personal Devices. SECON 2017: 1-9 - [i9]Shiva Prasad Kasiviswanathan, Kobbi Nissim, Hongxia Jin:
Private Incremental Regression. CoRR abs/1701.01093 (2017) - [i8]Neil Zhenqiang Gong, Altay Ozen, Yu Wu, Xiaoyu Cao, Eui Chul Richard Shin, Dawn Xiaodong Song, Hongxia Jin, Xuan Bao:
PIANO: Proximity-based User Authentication on Voice-Powered Internet-of-Things Devices. CoRR abs/1704.03118 (2017) - [i7]Wei-Han Lee, Xiaochen Liu, Yilin Shen, Hongxia Jin, Ruby B. Lee:
Secure Pick Up: Implicit Authentication When You Start Using the Smartphone. CoRR abs/1708.09366 (2017) - [i6]Shiva Prasad Kasiviswanathan, Nina Narodytska, Hongxia Jin:
Deep Neural Network Approximation using Tensor Sketching. CoRR abs/1710.07850 (2017) - 2016
- [c89]Lam Tran, Deguang Kong, Hongxia Jin, Ji Liu:
Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features. AAAI 2016: 1317-1323 - [c88]Yilin Shen, Hongxia Jin:
EpicRec: Towards Practical Differentially Private Framework for Personalized Recommendation. CCS 2016: 180-191 - [c87]Dong Su, Jianneng Cao, Ninghui Li, Elisa Bertino, Hongxia Jin:
Differentially Private K-Means Clustering. CODASPY 2016: 26-37 - [c86]Jianping He, Bin Liu, Deguang Kong, Xuan Bao, Na Wang, Hongxia Jin, George Kesidis:
PUPPIES: Transformation-Supported Personalized Privacy Preserving Partial Image Sharing. DSN 2016: 359-370 - [c85]Rui Chen, Haoran Li, A. Kai Qin, Shiva Prasad Kasiviswanathan, Hongxia Jin:
Private spatial data aggregation in the local setting. ICDE 2016: 289-300 - [c84]Shiva Prasad Kasiviswanathan, Hongxia Jin:
Efficient Private Empirical Risk Minimization for High-dimensional Learning. ICML 2016: 488-497 - [c83]Jing Wang, Na Wang, Hongxia Jin:
Context Matters?: How Adding the Obfuscation Option Affects End Users' Data Disclosure Decisions. IUI 2016: 299-304 - [c82]