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2020 – today
- 2024
[j11]James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin:
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA. Trans. Mach. Learn. Res. 2024 (2024)- [c187]Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan, Hongxia Jin:
Explicit over Implict: Explicit Diversity Conditions for Effective Question Answer Generation. LREC/COLING 2024: 6876-6882 - [c186]James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin:
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters. CVPR Workshops 2024: 1744-1754 - [c185]Suhas BN, Rakshith Sharma Srinivasa, Yashas Malur Saidutta, Jaejin Cho, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin:
End-To-End Personalized Cuff-Less Blood Pressure Monitoring Using ECG and PPG Signals. ICASSP 2024: 2101-2105 - [c184]Wenbo Li, Zhipeng Mo, Yilin Shen, Hongxia Jin:
Unified Srgb Real Noise Synthesizing with Adaptive Feature Modulation. ICASSP 2024: 2380-2384 - [c183]Ching Hua Lee, Kashyap Patel, Chouchang Yang, Yilin Shen, Hongxia Jin:
An MVDR-Embedded U-Net Beamformer for Effective and Robust Multichannel Speech Enhancement. ICASSP 2024: 8541-8545 - [c182]Jaejin Cho, Rakshith Sharma Srinivasa, Ching Hua Lee, Yashas Malur Saidutta, Chouchang Yang, Yilin Shen, Hongxia Jin:
Zero-Shot Intent Classification Using a Semantic Similarity Aware Contrastive Loss and Large Language Model. ICASSP 2024: 10776-10780 - [c181]Ching Hua Lee, Chouchang Yang, Rakshith Sharma Srinivasa, Yashas Malur Saidutta, Jaejin Cho, Yilin Shen, Hongxia Jin:
Leveraging Self-Supervised Speech Representations for Domain Adaptation in Speech Enhancement. ICASSP 2024: 10831-10835 - [c180]Sudipta Paul, Lingyu Zhang, Yilin Shen, Hongxia Jin:
Enabling Device Control Planning Capabilities of Small Language Model. ICASSP 2024: 12066-12070 - [c179]Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin:
AlpaGasus: Training a Better Alpaca with Fewer Data. ICLR 2024 - [c178]Shangqian Gao, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin:
Adaptive Rank Selections for Low-Rank Approximation of Language Models. NAACL-HLT 2024: 227-241 - [c177]Chi-Heng Lin, Shikhar Tuli, James Seale Smith, Yen-Chang Hsu, Yilin Shen, Hongxia Jin:
SLiM: Speculative Decoding with Hypothesis Reduction. NAACL-HLT (Findings) 2024: 1005-1017 - [c176]Shikhar Tuli, Chi-Heng Lin, Yen-Chang Hsu, Niraj K. Jha, Yilin Shen, Hongxia Jin:
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling. NAACL-HLT 2024: 3322-3345 - [c175]Shiyang Li, Jun Yan, Hai Wang, Zheng Tang, Xiang Ren, Vijay Srinivasan, Hongxia Jin:
Instruction-following Evaluation through Verbalizer Manipulation. NAACL-HLT (Findings) 2024: 3678-3692 - [c174]Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin:
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection. NAACL-HLT 2024: 6065-6086 - [c173]Minchul Kim, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin:
Token Fusion: Bridging the Gap between Token Pruning and Token Merging. WACV 2024: 1372-1381 - [c172]Wenbo Li, Yi Wei, Yilin Shen, Hongxia Jin:
Efficient Layout-Guided Image Inpainting for Mobile Use. WACV 2024: 8435-8444 - [i60]Shikhar Tuli, Chi-Heng Lin, Yen-Chang Hsu, Niraj K. Jha, Yilin Shen, Hongxia Jin:
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling. CoRR abs/2405.00888 (2024) - [i59]Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan, Hongxia Jin:
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models. CoRR abs/2406.17990 (2024) - [i58]Chi-Heng Lin, Shangqian Gao, James Seale Smith, Abhishek Patel, Shikhar Tuli, Yilin Shen, Hongxia Jin, Yen-Chang Hsu:
MoDeGPT: Modular Decomposition for Large Language Model Compression. CoRR abs/2408.09632 (2024) - [i57]Shangqian Gao, Chi-Heng Lin, Ting Hua, Tang Zheng, Yilin Shen, Hongxia Jin, Yen-Chang Hsu:
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models. CoRR abs/2410.11988 (2024) - 2023
- [c171]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. AAAI 2023: 10954-10962 - [c170]Jing Zhu, Karim Ahmed, Wenbo Li, Yilin Shen, Hongxia Jin:
One-stage Progressive Dichotomous Segmentation. BMVC 2023: 77-80 - [c169]Kalpa Gunaratna
, Vijay Srinivasan, Hongxia Jin:
Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond. CIKM 2023: 3913-3917 - [c168]Ting Hua, Xiao Li, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin:
Dynamic Low-rank Estimation for Transformer-based Language Models. EMNLP (Findings) 2023: 9275-9287 - [c167]Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin:
Improved Mask-Based Neural Beamforming for Multichannel Speech Enhancement by Snapshot Matching Masking. ICASSP 2023: 1-5 - [c166]Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin:
To Wake-Up or Not to Wake-Up: Reducing Keyword False Alarm by Successive Refinement. ICASSP 2023: 1-5 - [c165]Shangqian Gao, Burak Uzkent, Yilin Shen, Heng Huang, Hongxia Jin:
Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models. ICLR 2023 - [c164]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. ICML 2023: 42829-42842 - [c163]Avik Ray, Yilin Shen, Hongxia Jin:
Compositional Generalization in Spoken Language Understanding. INTERSPEECH 2023: 750-754 - [c162]Chouchang Yang, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Yilin Shen, Hongxia Jin:
Robust Keyword Spotting for Noisy Environments by Leveraging Speech Enhancement and Speech Presence Probability. INTERSPEECH 2023: 1638-1642 - [c161]Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching Hua Lee, Yilin Shen, Hongxia Jin:
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss. NeurIPS 2023 - [i56]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) - [i55]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) - [i54]Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin:
To Wake-up or Not to Wake-up: Reducing Keyword False Alarm by Successive Refinement. CoRR abs/2304.03416 (2023) - [i53]James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin:
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA. CoRR abs/2304.06027 (2023) - [i52]Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin:
AlpaGasus: Training A Better Alpaca with Fewer Data. CoRR abs/2307.08701 (2023) - [i51]Shiyang Li, Jun Yan, Hai Wang, Zheng Tang, Xiang Ren, Vijay Srinivasan, Hongxia Jin:
Instruction-following Evaluation through Verbalizer Manipulation. CoRR abs/2307.10558 (2023) - [i50]Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin:
Virtual Prompt Injection for Instruction-Tuned Large Language Models. CoRR abs/2307.16888 (2023) - [i49]Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin:
Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond. CoRR abs/2309.14485 (2023) - [i48]Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching Hua Lee, Yilin Shen, Hongxia Jin:
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss. CoRR abs/2309.14580 (2023) - [i47]James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin:
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters. CoRR abs/2311.18763 (2023) - [i46]Minchul Kim, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin:
Token Fusion: Bridging the Gap between Token Pruning and Token Merging. CoRR abs/2312.01026 (2023) - [i45]Lingyu Zhang, Ting Hua, Yilin Shen, Hongxia Jin:
Prompt Tuning for Zero-shot Compositional Learning. CoRR abs/2312.02191 (2023) - [i44]Avik Ray, Yilin Shen, Hongxia Jin:
Compositional Generalization in Spoken Language Understanding. CoRR abs/2312.15815 (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]Yilin Shen, Rui Chen, Hongxia Jin:
Differentially Private User Data Perturbation with Multi-level Privacy Controls. ECML/PKDD (2) 2016: 112-128 - [c81]Cailing Dong, Yilin Shen, Bin Zhou, Hongxia Jin:
I2Rec: An Iterative and Interactive Recommendation System for Event-Based Social Networks. SBP-BRiMS 2016: 250-261 - [c80]Cailing Dong, Hongxia Jin, Bart P. Knijnenburg:
PPM: A Privacy Prediction Model for Online Social Networks. SocInfo (2) 2016: 400-420 - [c79]Luca Bonomi, Liyue Fan, Hongxia Jin:
An Information-Theoretic Approach to Individual Sequential Data Sanitization. WSDM 2016: 337-346 - [i5]Cailing Dong, Hongxia Jin, Bart P. Knijnenburg:
PPM: A Privacy Prediction Model for Online Social Networks. CoRR abs/1606.07463 (2016) - [i4]Yonghui Xiao, Yilin Shen, Jinfei Liu, Li Xiong, Hongxia Jin, Xiaofeng Xu:
DPHMM: Customizable Data Release with Differential Privacy via Hidden Markov Model. CoRR abs/1609.09172 (2016) - 2015
- [c78]Deguang Kong, Lei Cen, Hongxia Jin:
AUTOREB: Automatically Understanding the Review-to-Behavior Fidelity in Android Applications. CCS 2015: 530-541 - [c77]Gökay Saldamli, Richard Chow, Hongxia Jin:
Albatross: A Privacy-Preserving Location Sharing System. AsiaCCS 2015: 663 - [c76]Rui Chen, Yilin Shen, Hongxia Jin:
Private Analysis of Infinite Data Streams via Retroactive Grouping. CIKM 2015: 1061-1070 - [c75]Bing Hu, Bin Liu, Neil Zhenqiang Gong, Deguang Kong, Hongxia Jin:
Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework. CIKM 2015: 1111-1120 - [c74]Xuan Bao, Bin Liu, Bo Tang, Bing Hu, Deguang Kong, Hongxia Jin:
PinPlace: associate semantic meanings with indoor locations without active fingerprinting. UbiComp 2015: 921-925 - [c73]Jianping He, Bin Liu, Xuan Bao, Hongxia Jin, George Kesidis:
On Privacy Preserving Partial Image Sharing. ICDCS 2015: 758-759 - [c72]Cailing Dong, Hongxia Jin, Bart P. Knijnenburg:
Predicting Privacy Behavior on Online Social Networks. ICWSM 2015: 91-100 - [c71]Na Wang, Bo Zhang, Bin Liu, Hongxia Jin:
Investigating Effects of Control and Ads Awareness on Android Users' Privacy Behaviors and Perceptions. MobileHCI 2015: 373-382 - [c70]Bin Liu, Bin Liu, Hongxia Jin, Ramesh Govindan:
Efficient Privilege De-Escalation for Ad Libraries in Mobile Apps. MobiSys 2015: 89-103 - [c69]Deguang Kong, Hongxia Jin:
Towards Permission Request Prediction on Mobile Apps via Structure Feature Learning. SDM 2015: 604-612 - [c68]Lei Cen, Deguang Kong, Hongxia Jin, Luo Si:
Mobile App Security Risk Assessment: A Crowdsourcing Ranking Approach from User Comments. SDM 2015: 658-666 - [c67]Bin Liu, Deguang Kong, Lei Cen, Neil Zhenqiang Gong, Hongxia Jin, Hui Xiong:
Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference. WSDM 2015: 315-324 - [c66]Liyue Fan, Hongxia Jin:
A Practical Framework for Privacy-Preserving Data Analytics. WWW 2015: 311-321 - [i3]Gökay Saldamli, Richard Chow, Hongxia Jin:
Albatross: a Privacy-Preserving Location Sharing System. CoRR abs/1502.03407 (2015) - [i2]Dong Su, Jianneng Cao, Ninghui Li, Elisa Bertino, Hongxia Jin:
Differentially Private $k$-Means Clustering. CoRR abs/1504.05998 (2015) - 2014
- [c65]Yilin Shen, Hongxia Jin:
Controllable Information Sharing for User Accounts Linkage across Multiple Online Social Networks. CIKM 2014: 381-390 - [c64]Xuan Bao, Yilin Shen, Neil Zhenqiang Gong, Hongxia Jin, Bing Hu:
Connect the dots by understanding user status and transitions. UbiComp Adjunct 2014: 361-366 - [c63]Yilin Shen, Hongxia Jin:
Privacy-Preserving Personalized Recommendation: An Instance-Based Approach via Differential Privacy. ICDM 2014: 540-549 - [c62]Jierui Xie, Bart P. Knijnenburg, Hongxia Jin:
Location sharing privacy preference: analysis and personalized recommendation. IUI 2014: 189-198 - [c61]Lei Cen, Luo Si, Ninghui Li, Hongxia Jin:
User Comment Analysis for Android apps and CSPI Detection with Comment Expansion. PIR@SIGIR 2014: 25-30 - [c60]Bo Zhang, Na Wang, Hongxia Jin:
Privacy Concerns in Online Recommender Systems: Influences of Control and User Data Input. SOUPS 2014: 159-173 - [c59]Yilin Shen, Fengjiao Wang, Hongxia Jin:
Defending against user identity linkage attack across multiple online social networks. WWW (Companion Volume) 2014: 375-376 - 2013
- [j4]Bart P. Knijnenburg, Alfred Kobsa, Hongxia Jin:
Dimensionality of information disclosure behavior. Int. J. Hum. Comput. Stud. 71(12): 1144-1162 (2013) - [c58]Bart P. Knijnenburg, Alfred Kobsa, Hongxia Jin:
Preference-based location sharing: are more privacy options really better? CHI 2013: 2667-2676 - [c57]Haldong Xia, Vidyasagar M. Potdar, Hongxia Jin:
Track D: Cyber-security ecosystem. DEST 2013: 1 - [c56]Bart Piet Knijnenburg, Alfred Kobsa, Hongxia Jin:
Counteracting the Negative Effect of Form Auto-completion on the Privacy Calculus. ICIS 2013 - [c55]Hongxia Jin, Gökay Saldamli, Richard Chow, Bart P. Knijnenburg:
Recommendations-based location privacy control. PerCom Workshops 2013: 401-404 - [c54]Richard Chow, Hongxia Jin, Bart P. Knijnenburg, Gökay Saldamli:
Differential data analysis for recommender systems. RecSys 2013: 323-326 - [c53]Gökay Saldamli, Richard Chow, Hongxia Jin, Bart P. Knijnenburg:
Private proximity testing with an untrusted server. WISEC 2013: 113-118 - [i1]Richard Chow, Hongxia Jin, Bart P. Knijnenburg, Gökay Saldamli:
Differential Data Analysis for Recommender Systems. CoRR abs/1310.0894 (2013) - 2012
- [c52]Hongxia Jin:
Content Recommendation for Attention Management in Unified Social Messaging. AAAI 2012: 627-633 - [c51]Hongxia Jin:
User activity profiling with multi-layer analysis. CIKM 2012: 2030-2034 - [c50]Qihua Wang, Hongxia Jin:
An analytical solution for consent management in patient privacy preservation. IHI 2012: 573-582 - [c49]Wenjun Zhou, Hongxia Jin, Yan Liu:
Community discovery and profiling with social messages. KDD 2012: 388-396 - 2011
- [c48]Di Ma, Hongxia Jin:
Content usage tracking in superdistribution. CCNC 2011: 912-917 - [c47]Qihua Wang, Hongxia Jin:
Quantified risk-adaptive access control for patient privacy protection in health information systems. AsiaCCS 2011: 406-410 - [c46]Qihua Wang, Hongxia Jin:
Decision Support for Patient Consent Management. HISB 2011: 142-149 - [c45]Hongxia Jin, Jeffrey B. Lotspiech:
Efficient traitor tracing for clone attack in content protection. SAC 2011: 1544-1549 - [c44]Qihua Wang, Hongxia Jin:
Data leakage mitigation for discretionary access control in collaboration clouds. SACMAT 2011: 103-112 - [c43]Hongxia Jin, Jeffrey B. Lotspiech:
Piracy Protection for Streaming Content in Home Networks. SEC 2011: 128-141 - [c42]Qihua Wang, Hongxia Jin:
Social Analytics for Personalization in Work Environments. WAIM 2011: 314-326 - 2010
- [j3]Hongxia Jin, Jeffrey B. Lotspiech, Serdar Pehlivanoglu:
Defending against the pirate evolution attack. Int. J. Appl. Cryptogr. 2(1): 23-34 (2010) - [c41]Qihua Wang, Hongxia Jin:
Exploring online social activities for adaptive search personalization. CIKM 2010: 999-1008 - [c40]Qihua Wang, Hongxia Jin, Yan Liu:
Collaboration analytics: mining work patterns from collaboration activities. CIKM 2010: 1861-1864 - [c39]Dulce B. Ponceleon, Jeff Lostpiech, Hongxia Jin, Eric Wilcox:
SCOTT: set cover tracing technology. ACM Multimedia 2010: 1527-1528 - [c38]Gideon Myles, Hongxia Jin:
A Metric-Based Scheme for Evaluating Tamper Resistant Software Systems. SEC 2010: 187-202 - [e2]Ehab Al-Shaer, Hongxia Jin, Marc Joye:
Proceedings of the 10th ACM Workshop on Digital Rights Management, Chicago, Illinois, USA, October 4, 2010. ACM 2010, ISBN 978-1-4503-0091-9 [contents]
2000 – 2009
- 2009
- [j2]Hongxia Jin:
Efficient Forensic Analysis for Anonymous Attack in Secure Content Distribution. Int. J. Digit. Crime Forensics 1(1): 59-74 (2009) - [c37]Hongxia Jin, Jeffrey B. Lotspiech:
Unifying Broadcast Encryption and Traitor Tracing for Content Protection. ACSAC 2009: 139-148 - [c36]Qihua Wang, Hongxia Jin:
Selective message distribution with people-tagging in user-collaborative environments. CHI Extended Abstracts 2009: 4549-4554 - [c35]Qihua Wang, Hongxia Jin, Ninghui Li:
Usable Access Control in Collaborative Environments: Authorization Based on People-Tagging. ESORICS 2009: 268-284 - [c34]Hongxia Jin:
Can i play the movie i (or you) bought? new trends in DRM. ICME 2009: 1572-1573 - [c33]Hongxia Jin, Jeffrey B. Lotspiech:
Defending against the Pirate Evolution Attack. ISPEC 2009: 147-158 - [c32]Hongxia Jin, Serdar Pehlivanoglu:
Traitor Tracing without A Priori Bound on the Coalition Size. ISC 2009: 234-241 - [c31]Jeffrey B. Lotspiech, Hongxia Jin:
Practical tracing traitors. Media Forensics and Security 2009: 72540O - [c30]Hongxia Jin, Jeffery Lotspiech:
Broadcast Encryption for Differently Privileged. SEC 2009: 283-293 - [c29]Hongxia Jin:
Efficient Traitor Tracing for Content Protection. SECRYPT 2009: 270-273 - [e1]Ehab Al-Shaer, Hongxia Jin, Gregory L. Heileman:
Proceedings of the 9th ACM Workshop on Digital Rights Management, Chicago, Illinois, USA, November 9, 2009. ACM 2009, ISBN 978-1-60558-779-0 [contents] - 2008
- [c28]Qihua Wang, Hongxia Jin, Stefan Nusser:
Automatic Categorization of Tags in Collaborative Environments. CollaborateCom 2008: 649-662 - [c27]Hongxia Jin, Jeffrey B. Lotspiech, Michael J. Nelson, Nimrod Megiddo:
Adaptive traitor tracing for large anonymous attack. Digital Rights Management Workshop 2008: 1-8 - [c26]Avinash L. Varna, Hongxia Jin:
Generalized traitor tracing for nested codes. ICME 2008: 561-564 - [c25]Hongxia Jin, Jeffery Lotspiech, Nimrod Megiddo:
Efficient Coalition Detection in Traitor Tracing. SEC 2008: 365-380 - [c24]Hongxia Jin:
Traitor Tracing for Anonymous Attack in Content Protection. SECRYPT 2008: 331-336 - [c23]Hongxia Jin, Vladimir Zbarsky:
Enabling secure digital marketplace. WWW 2008: 1217-1218 - 2007
- [j1]Hongxia Jin, Mario Blaum:
Combinatorial Properties for Traceability Codes Using Error Correcting Codes. IEEE Trans. Inf. Theory 53(2): 804-808 (2007) - [c22]Philip Zigoris, Hongxia Jin:
Adaptive Traitor Tracing with Bayesian Networks. AAAI 2007: 1833-1839 - [c21]Philip Zigoris, Hongxia Jin:
Bayesian Methods for Practical Traitor Tracing. ACNS 2007: 194-206 - [c20]Hongxia Jin, Ginger Myles:
A technique for self-certifying tamper resistant software. QoP 2007: 12-14 - [c19]Hongxia Jin, Jeffery Lotspiech:
Renewable Traitor Tracing: A Trace-Revoke-Trace System For Anonymous Attack. ESORICS 2007: 563-577 - [c18]Hongxia Jin:
The Application of Neuro-FDT in Urban Short-Term Traffic Flow Prediction. ICNC (5) 2007: 499-503 - [c17]Hongxia Jin:
A Closer Look at Broadcast Encryption and Traitor Tracing for Content Protection. SECRYPT 2007: 295-298 - [c16]Hongxia Jin, Jianna Zhao, Xiaoxuan Chen:
The Application of Neuro-Fuzzy Decision Tree in Optimal Selection of Teconological Innovation Projects. SNPD (3) 2007: 438-443 - 2006
- [c15]Hongxia Jin, Jeffery Lotspiech:
Hybrid Traitor Tracing. ICME 2006: 1329-1332 - [c14]Hongxia Jin, Jeffery Lotspiech:
Practical Forensic Analysis in Advanced Access Content System. ISPEC 2006: 302-313 - [c13]Hongxia Jin:
Privacy, traceability, and anonymity for content protection. PST 2006: 63 - [c12]Hongxia Jin, Jeffrey B. Lotspiech, Mario Blaum:
Traitor Tracing for Subscription-Based Systems. SECRYPT 2006: 223-228 - [c11]Hongxia Jin:
Higher Dependability and Security for Mobile Applications. SPC 2006: 89-103 - 2005
- [c10]Hongxia Jin, Jeffery Lotspiech:
Flexible Traitor Tracing for Anonymous Attacks. Communications and Multimedia Security 2005: 269-270 - [c9]Hongxia Jin, Jeffery Lotspiech:
Attacks and Forensic Analysis for Multimedia Content Protection. ICME 2005: 1392-1395 - [c8]Ginger Myles, Hongxia Jin:
Self-validating Branch-Based Software Watermarking. Information Hiding 2005: 342-356 - [c7]Hongxia Jin, Ginger Myles, Jeffery Lotspiech:
Towards Better Software Tamper Resistance. ISC 2005: 417-430 - 2004
- [c6]Hongxia Jin, Jeffery Lotspiech, Stefan Nusser:
Traitor tracing for prerecorded and recordable media. Digital Rights Management Workshop 2004: 83-90 - 2003
- [c5]Hongxia Jin, Jeffery Lotspiech:
Forensic Analysis for Tamper Resistant Software. ISSRE 2003: 133-142 - [c4]Hongxia Jin, Jeffery Lotspiech:
Proactive Software Tampering Detection. ISC 2003: 352-365 - [c3]Hongxia Jin, Gregory F. Sullivan, Gerald M. Masson:
Software Tamper Resistance Using Program Certificates. SAFECOMP 2003: 144-158 - 2001
- [c2]Hongxia Jin, Peter Santhanam:
An Approach to Higher Reliability Using Software Components. ISSRE 2001: 2-11
1990 – 1999
- 1999
- [c1]Hongxia Jin, Gregory F. Sullivan, Gerald M. Masson:
Run-time Result Certification for Distributed Computations. PDPTA 1999: 890-895
Coauthor Index
Bart P. Knijnenburg
aka: Bart Piet Knijnenburg
aka: Bart Piet Knijnenburg
Jeffrey B. Lotspiech
aka: Jeffery Lotspiech
aka: Jeffery Lotspiech
[j11] [c186] [c185] [c184] [c183] [c182] [c181] [c180] [c178] [c177] [c176] [c173] [c172] [i60] [i58] [i57] [c171] [c170] [c168] [c167] [c166] [c165] [c164] [c163] [c162] [c161] [i56] [i55] [i54] [i53] [i48] [i47] [i46] [i45] [i44] [c160] [c158] [c155] [c154] [c150] [c149] [i43] [i42] [i41] [i40] [i38] [c147] [c144] [c143] [c142] [c141] [c139] [c138] [i30] [i29] [i28] [i26] [i24] [j9] [c137] [c136] [c134] [c132] [c131] [c130] [c129] [c127] [i23] [i22] [i21] [i19] [i18] [c125] [c124] [c123] [c122] [c121] [c120] [c119] [c117] [c116] [c115] [c114] [c113] [c112] [c111] [i17] [i16] [c110] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [c97] [i14] [i13] [i10] [c94] [c93] [c91] [c90] [i7] [c88] [c82] [c81] [i4] [c76] [c65] [c64] [c63] [c59]
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