Hongxia Jin

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 168

Top Venues

Publications

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)
Wenbo Li, Yi Wei, Yilin Shen, Hongxia Jin
Efficient Layout-Guided Image Inpainting for Mobile Use. WACV (2024)
Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan, Hongxia Jin
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models. CoRR (2024)
Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan, Hongxia Jin
Explicit over Implict: Explicit Diversity Conditions for Effective Question Answer Generation. LREC/COLING (2024)
Shangqian Gao, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
Adaptive Rank Selections for Low-Rank Approximation of Language Models. NAACL-HLT (2024)
Minchul Kim, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
Token Fusion: Bridging the Gap between Token Pruning and Token Merging. WACV (2024)
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)
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 (2024)
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)
Wenbo Li, Zhipeng Mo, Yilin Shen, Hongxia Jin
Unified Srgb Real Noise Synthesizing with Adaptive Feature Modulation. ICASSP (2024)
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)
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)
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)
Sudipta Paul, Lingyu Zhang, Yilin Shen, Hongxia Jin
Enabling Device Control Planning Capabilities of Small Language Model. ICASSP (2024)
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)
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)
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 (2023)
Jing Zhu, Karim Ahmed, Wenbo Li, Yilin Shen, Hongxia Jin
One-stage Progressive Dichotomous Segmentation. BMVC (2023)
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 (2023)
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)
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)
Avik Ray, Yilin Shen, Hongxia Jin
Compositional Generalization in Spoken Language Understanding. INTERSPEECH (2023)
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 (2023)
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)
Avik Ray, Yilin Shen, Hongxia Jin
Compositional Generalization in Spoken Language Understanding. CoRR (2023)
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 (2023)
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)
Lingyu Zhang, Ting Hua, Yilin Shen, Hongxia Jin
Prompt Tuning for Zero-shot Compositional Learning. CoRR (2023)
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 (2023)
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)
Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
Improved Mask-Based Neural Beamforming for Multichannel Speech Enhancement by Snapshot Matching Masking. ICASSP (2023)
Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin
Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond. CIKM (2023)
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)
Minchul Kim, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
Token Fusion: Bridging the Gap between Token Pruning and Token Merging. CoRR (2023)
Shiyang Li, Jun Yan, Hai Wang, Zheng Tang, Xiang Ren, Vijay Srinivasan, Hongxia Jin
Instruction-following Evaluation through Verbalizer Manipulation. CoRR (2023)
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)
James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters. CoRR (2023)
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 (2023)
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 (2023)
Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin
Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond. CoRR (2023)
Yu Wang, Vijay Srinivasan, Hongxia Jin
A Robust Semantic Frame Parsing Pipeline on a New Complex Twitter Dataset. ICKG (2022)
Yu Wang, Hongxia Jin
Hybrid Rule-Neural Coreference Resolution System based on Actor-Critic Learning. CoRR (2022)
Ting Hua, Yen-Chang Hsu, Felicity Wang, Qian Lou, Yilin Shen, Hongxia Jin
Numerical Optimizations for Weighted Low-rank Estimation on Language Model. CoRR (2022)
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin
Text-Based Interactive Recommendation via Offline Reinforcement Learning. AAAI (2022)
Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, Hongxia Jin
Lite-MDETR: A Lightweight Multi-Modal Detector. CVPR (2022)
Yu Wang, Hongxia Jin
A Robust Semantic Frame Parsing Pipeline on a New Complex Twitter Dataset. CoRR (2022)
Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin
Language model compression with weighted low-rank factorization. CoRR (2022)
Yu Wang, Vijay Srinivasan, Hongxia Jin
A New Concept of Knowledge based Question Answering (KBQA) System for Multi-hop Reasoning. NAACL-HLT (2022)
Peixi Xiong, Yilin Shen, Hongxia Jin
MGA-VQA: Multi-Granularity Alignment for Visual Question Answering. CoRR (2022)
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)
Yu Wang, Hongxia Jin
Neural Coreference Resolution based on Reinforcement Learning. CoRR (2022)
Dawei Li, Wenbo Li, Hongxia Jin
Foreground-Specialized Model Imitation for Instance Segmentation. ACCV (7) (2022)
Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, Hongxia Jin
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. CoRR (2022)
Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin
Language model compression with weighted low-rank factorization. ICLR (2022)
Qian Lou, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
DictFormer: Tiny Transformer with Shared Dictionary. ICLR (2022)
Yu Wang, Vijay Srinivasan, Hongxia Jin
A New Design of VQA System based on Weighted Contextual Features. ICKG (2022)
Zhan Shi, Yilin Shen, Hongxia Jin, Xiaodan Zhu
Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations. AAAI (2022)
Kalpa Gunaratna, Vijay Srinivasan, Akhila Yerukola, Hongxia Jin
Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling. CoRR (2022)
Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin
ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs. AAAI (2022)
Kalpa Gunaratna, Vijay Srinivasan, Akhila Yerukola, Hongxia Jin
Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling. EMNLP (Findings) (2022)
Jing Zhu, Wenbo Li, Hongxia Jin
Dual-lens Reference Image Super-Resolution. BMVC (2022)
Yen-Chang Hsu, James Smith, Yilin Shen, Zsolt Kira, Hongxia Jin
A Closer Look at Knowledge Distillation with Features, Logits, and Gradients. CoRR (2022)
Yu Wang, Yilin Shen, Hongxia Jin
An Adversarial Learning based Multi-Step Spoken Language Understanding System through Human-Computer Interaction. CoRR (2021)
Yu Wang, Yilin Shen, Hongxia Jin
An End-To-End Actor-Critic-Based Neural Coreference Resolution System. ICASSP (2021)
Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon
Negative Data Augmentation. CoRR (2021)
Yu Wang, Yilin Shen, Hongxia Jin
Multi-Step Spoken Language Understanding System Based on Adversarial Learning. ICASSP (2021)
Qian Lou, Yilin Shen, Hongxia Jin, Lei Jiang
SAFENet: A Secure, Accurate and Fast Neural Network Inference. ICLR (2021)
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 (2021)
James 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)
Akhila Yerukola, Mason Bretan, Hongxia Jin
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase. EACL (2021)
Kalpa Gunaratna, Vijay Srinivasan, Sandeep Nama, Hongxia Jin
Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones. CoRR (2021)
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)
Yu Wang, Hongxia Jin
A Coarse to Fine Question Answering System based on Reinforcement Learning. CoRR (2021)
Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin
Automatic Mixed-Precision Quantization Search of BERT. CoRR (2021)
James 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 (2021)
Yilin Shen, Yen-Chang Hsu, Avik Ray, Hongxia Jin
Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU. CoRR (2021)
Kalpa Gunaratna, Yu Wang, Hongxia Jin
Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web. CoRR (2021)
Kalpa Gunaratna, Vijay Srinivasan, Sandeep Nama, Hongxia Jin
Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones. CIKM (2021)
Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin
Automatic Mixed-Precision Quantization Search of BERT. IJCAI (2021)
Akhila Yerukola, Mason Bretan, Hongxia Jin
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase. CoRR (2021)
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)
Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin
ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs. CoRR (2021)
Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon
Negative Data Augmentation. ICLR (2021)
Wei-Jen Ko, Avik Ray, Yilin Shen, Hongxia Jin
Generating Dialogue Responses from a Semantic Latent Space. EMNLP (1) (2020)
Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, Boxin Shi
Conditional Image Repainting via Semantic Bridge and Piecewise Value Function. ECCV (9) (2020)
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)
Julian A. Ramos Rojas, Johana Rosas, Yilin Shen, Hongxia Jin, Anind K. Dey
Activity Recommendation: Optimizing Life in the Long Term. PerCom (2020)
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) (2020)
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin
Reward Constrained Interactive Recommendation with Natural Language Feedback. CoRR (2020)
Yilin Shen, Wenhu Chen, Hongxia Jin
Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN. CoRR (2020)
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)
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 (2020)
Tong Yu, Yilin Shen, Hongxia Jin
Towards Hands-Free Visual Dialog Interactive Recommendation. AAAI (2020)
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) (2020)
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)
Yu Wang, Yilin Shen, Hongxia Jin
An Interactive Adversarial Reward Learning-Based Spoken Language Understanding System. INTERSPEECH (2020)
Wei-Jen Ko, Avik Ray, Yilin Shen, Hongxia Jin
Generating Dialogue Responses from a Semantic Latent Space. CoRR (2020)
Yu Wang, Yilin Shen, Hongxia Jin
A BI-Model Approach for Handling Unknown Slot Values in Dialogue State Tracking. ICASSP (2020)
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)
Kechen Qin, Yu Wang, Cheng Li, Kalpa Gunaratna, Hongxia Jin, Virgil Pavlu, Javed A. Aslam
A Complex KBQA System using Multiple Reasoning Paths. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hongxia Jin