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2020 – today
- 2024
[j12]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)- [c103]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 - [c102]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 - [c101]Wenbo Li, Zhipeng Mo, Yilin Shen, Hongxia Jin:
Unified Srgb Real Noise Synthesizing with Adaptive Feature Modulation. ICASSP 2024: 2380-2384 - [c100]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 - [c99]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 - [c98]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 - [c97]Sudipta Paul, Lingyu Zhang, Yilin Shen, Hongxia Jin:
Enabling Device Control Planning Capabilities of Small Language Model. ICASSP 2024: 12066-12070 - [c96]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 - [c95]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 - [c94]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 - [c93]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 - [c92]Wenbo Li, Yi Wei, Yilin Shen, Hongxia Jin:
Efficient Layout-Guided Image Inpainting for Mobile Use. WACV 2024: 8435-8444 - [i38]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) - [i37]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) - [i36]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
- [c91]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 - [c90]Jing Zhu, Karim Ahmed, Wenbo Li, Yilin Shen, Hongxia Jin:
One-stage Progressive Dichotomous Segmentation. BMVC 2023: 77-80 - [c89]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 - [c88]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 - [c87]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 - [c86]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 - [c85]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 - [c84]Avik Ray, Yilin Shen, Hongxia Jin:
Compositional Generalization in Spoken Language Understanding. INTERSPEECH 2023: 750-754 - [c83]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 - [c82]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 - [c81]Jiaqi Xue, Mengxin Zheng, Ting Hua, Yilin Shen, Yepeng Liu, Ladislau Bölöni, Qian Lou:
TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models. NeurIPS 2023 - [i35]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) - [i34]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) - [i33]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) - [i32]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) - [i31]Jiaqi Xue, Yepeng Liu, Mengxin Zheng, Ting Hua, Yilin Shen, Ladislau Bölöni, Qian Lou:
TrojPrompt: A Black-box Trojan Attack on Pre-trained Language Models. CoRR abs/2306.06815 (2023) - [i30]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) - [i29]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) - [i28]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) - [i27]Lingyu Zhang, Ting Hua, Yilin Shen, Hongxia Jin:
Prompt Tuning for Zero-shot Compositional Learning. CoRR abs/2312.02191 (2023) - [i26]Avik Ray, Yilin Shen, Hongxia Jin:
Compositional Generalization in Spoken Language Understanding. CoRR abs/2312.15815 (2023) - 2022
- [c80]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 - [c79]Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin:
Text-Based Interactive Recommendation via Offline Reinforcement Learning. AAAI 2022: 11694-11702 - [c78]Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, Hongxia Jin:
Lite-MDETR: A Lightweight Multi-Modal Detector. CVPR 2022: 12196-12205 - [c77]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 - [c76]Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin:
Language model compression with weighted low-rank factorization. ICLR 2022 - [c75]Qian Lou, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin:
DictFormer: Tiny Transformer with Shared Dictionary. ICLR 2022 - [i25]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) - [i24]Peixi Xiong, Yilin Shen, Hongxia Jin:
MGA-VQA: Multi-Granularity Alignment for Visual Question Answering. CoRR abs/2201.10656 (2022) - [i23]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) - [i22]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) - [i21]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) - 2021
- [c74]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 - [c73]Yu Wang, Yilin Shen, Hongxia Jin:
Multi-Step Spoken Language Understanding System Based on Adversarial Learning. ICASSP 2021: 7673-7677 - [c72]Yu Wang, Yilin Shen, Hongxia Jin:
An End-To-End Actor-Critic-Based Neural Coreference Resolution System. ICASSP 2021: 7848-7852 - [c71]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 - [c70]Qian Lou, Yilin Shen, Hongxia Jin, Lei Jiang:
SAFENet: A Secure, Accurate and Fast Neural Network Inference. ICLR 2021 - [c69]Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin:
Automatic Mixed-Precision Quantization Search of BERT. IJCAI 2021: 3427-3433 - [c68]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 - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin:
Automatic Mixed-Precision Quantization Search of BERT. CoRR abs/2112.14938 (2021) - 2020
- [j11]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) - [c67]Tong Yu, Yilin Shen, Hongxia Jin:
Towards Hands-Free Visual Dialog Interactive Recommendation. AAAI 2020: 1137-1144 - [c66]Yu Wang, Yilin Shen, Hongxia Jin:
An Interpretable Multimodal Visual Question Answering System using Attention-based Weighted Contextual Features. AAMAS 2020: 2038-2040 - [c65]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 - [c64]Wei-Jen Ko, Avik Ray, Yilin Shen, Hongxia Jin:
Generating Dialogue Responses from a Semantic Latent Space. EMNLP (1) 2020: 4339-4349 - [c63]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 - [c62]Yu Wang, Yilin Shen, Hongxia Jin:
A BI-Model Approach for Handling Unknown Slot Values in Dialogue State Tracking. ICASSP 2020: 8019-8023 - [c61]Yu Wang, Yilin Shen, Hongxia Jin:
An Interactive Adversarial Reward Learning-Based Spoken Language Understanding System. INTERSPEECH 2020: 1565-1569 - [c60]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 - [i15]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) - [i14]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) - [i13]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) - [i12]Wei-Jen Ko, Avik Ray, Yilin Shen, Hongxia Jin:
Generating Dialogue Responses from a Semantic Latent Space. CoRR abs/2010.01658 (2020) - [i11]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
- [c59]Avik Ray, Yilin Shen, Hongxia Jin:
Fast Domain Adaptation of Semantic Parsers via Paraphrase Attention. DeepLo@EMNLP-IJCNLP 2019: 94-103 - [c58]Yu Wang, Yue Deng, Yilin Shen, Hongxia Jin:
A New Concept of Convex based Multiple Neural Networks Structure. AAMAS 2019: 1306-1314 - [c57]Yilin Shen, Xiangyu Zeng, Hongxia Jin:
A Progressive Model to Enable Continual Learning for Semantic Slot Filling. EMNLP/IJCNLP (1) 2019: 1279-1284 - [c56]Tong Yu, Shijia Pan, Susu Xu, Yilin Shen, Botao Hao:
CML-IOT 2019: the first workshop on continual and multimodal learning for internet of things. UbiComp/ISWC Adjunct 2019: 465-467 - [c55]Yue Deng, KaWai Chen, Yilin Shen, Hongxia Jin:
Adversarial Multi-label Prediction for Spoken and Visual Signal Tagging. ICASSP 2019: 3252-3256 - [c54]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 - [c53]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 - [c52]Yue Deng, Yilin Shen, Hongxia Jin:
Learning Assistance from an Adversarial Critic for Multi-Outputs Prediction. IJCAI 2019: 4954-4960 - [c51]Avik Ray, Yilin Shen, Hongxia Jin:
Iterative Delexicalization for Improved Spoken Language Understanding. INTERSPEECH 2019: 1183-1187 - [c50]Yilin Shen, Wenhu Chen, Hongxia Jin:
Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance. INTERSPEECH 2019: 1328-1332 - [c49]Tong Yu, Yilin Shen, Hongxia Jin:
A Visual Dialog Augmented Interactive Recommender System. KDD 2019: 157-165 - [c48]Tong Yu, Yilin Shen, Ruiyi Zhang, Xiangyu Zeng, Hongxia Jin:
Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning. ACM Multimedia 2019: 39-47 - [c47]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 - [c46]Yilin Shen, Avik Ray, Hongxia Jin, Sandeep Nama:
SkillBot: Towards Automatic Skill Development via User Demonstration. NAACL-HLT (Demonstrations) 2019: 105-109 - [c45]Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang:
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection. NAACL-HLT (1) 2019: 3487-3497 - [c44]Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen:
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning. NeurIPS 2019: 15188-15198 - [c43]Canhui Yin, Yilin Shen, Xiaolin Zhang, Fan Guo, Qiquan Quan, Dewei Tang, Zongquan Deng:
A Legged Device Based on Active Buffering for Probe Landing on Micro-gravitational Asteroid. ROBIO 2019: 1483-1488 - [i10]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) - [i9]Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang:
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection. CoRR abs/1902.10339 (2019) - [i8]Avik Ray, Yilin Shen, Hongxia Jin:
Iterative Delexicalization for Improved Spoken Language Understanding. CoRR abs/1910.07060 (2019) - 2018
- [c42]Yilin Shen, Avik Ray, Abhishek Patel, Hongxia Jin:
CRUISE: Cold-Start New Skill Development via Iterative Utterance Generation. ACL (4) 2018: 105-110 - [c41]Xinlei Pan, Yilin Shen:
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning. AAMAS 2018: 1380-1387 - [c40]Yue Deng, KaWai Chen, Yilin Shen, Hongxia Jin:
Adversarial Active Learning for Sequences Labeling and Generation. IJCAI 2018: 4012-4018 - [c39]Avik Ray, Yilin Shen, Hongxia Jin:
Learning Out-of-Vocabulary Words in Intelligent Personal Agents. IJCAI 2018: 4309-4315 - [c38]Yue Deng, Yilin Shen, KaWai Chen, Hongxia Jin:
Training Recurrent Neural Network through Moment Matching for NLP Applications. INTERSPEECH 2018: 3353-3357 - [c37]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 - [c36]Avik Ray, Yilin Shen, Hongxia Jin:
Robust Spoken Language Understanding via Paraphrasing. INTERSPEECH 2018: 3454-3458 - [c35]Yilin Shen, Xiangyu Zeng, Yu Wang, Hongxia Jin:
User Information Augmented Semantic Frame Parsing Using Progressive Neural Networks. INTERSPEECH 2018: 3464-3468 - [c34]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 - [c33]Yilin Shen, Yue Deng, Avik Ray, Hongxia Jin:
Interactive recommendation via deep neural memory augmented contextual bandits. RecSys 2018: 122-130 - [c32]Yilin Shen, Yanping Chen, Eamonn J. Keogh, Hongxia Jin:
Accelerating Time Series Searching with Large Uniform Scaling. SDM 2018: 234-242 - [i7]Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart, Yan Xu, Yilin Shen, Kris M. Kitani:
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning. CoRR abs/1806.08479 (2018) - [i6]Avik Ray, Yilin Shen, Hongxia Jin:
Robust Spoken Language Understanding via Paraphrasing. CoRR abs/1809.06444 (2018) - [i5]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) - [i4]Wenhu Chen, Yilin Shen, Xin Wang, William Yang Wang:
Enhancing the Robustness of Prior Network in Out-of-Distribution Detection. CoRR abs/1811.07308 (2018) - [i3]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
- [c31]Yilin Shen, Yanping Chen, Eamonn J. Keogh, Hongxia Jin:
Searching Time Series with Invariance to Large Amounts of Uniform Scaling. ICDE 2017: 111-114 - [c30]Yue Deng, Yilin Shen, Hongxia Jin:
Disguise Adversarial Networks for Click-through Rate Prediction. IJCAI 2017: 1589-1595 - [c29]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 - [c28]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 - [i2]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) - 2016
- [j10]Huiling Zhang, Yilin Shen, My T. Thai:
Robustness of power-law networks: its assessment and optimization. J. Comb. Optim. 32(3): 696-720 (2016) - [c27]Yilin Shen, Hongxia Jin:
EpicRec: Towards Practical Differentially Private Framework for Personalized Recommendation. CCS 2016: 180-191 - [c26]Yilin Shen, Rui Chen, Hongxia Jin:
Differentially Private User Data Perturbation with Multi-level Privacy Controls. ECML/PKDD (2) 2016: 112-128 - [c25]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 - [i1]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
- [c24]