Hongxia Jin - RankMe

275 papers A* 51A 53B 5C 15Misc 22Journal 76Unranked 51

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Better Exploiting Spatial Separability in Multichannel Speech Enhancement with an Align-and-Filter Network. ICASSP Ching Hua Lee, Chouchang Yang, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Yilin Shen, Hongxia Jin
2025	J	`jnl`	Dynamic Noise Preference Optimization for LLM Self-Improvement via Synthetic Data. CoRR Haoyan Yang, Ting Hua, Shangqian Gao, Binfeng Xu, Zheng Tang, Jie Xu, Hongxia Jin, Vijay Srinivasan
2025	—	`conf`	FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing. NAACL (Long Papers) James Seale Smith, Chi-Heng Lin, Shikhar Tuli, Haris Jeelani, Shangqian Gao, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
2025	J	`jnl`	FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing. CoRR James Seale Smith, Chi-Heng Lin, Shikhar Tuli, Haris Jeelani, Shangqian Gao, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
2025	Misc	`conf`	MIB: Mixed Information Bottleneck for Out-of-Distribution Keyword Spotting. ICASSP Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Jaejin Cho, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
2025	A*	`conf`	MoDeGPT: Modular Decomposition for Large Language Model Compression. ICLR Chi-Heng Lin, Shangqian Gao, James Seale Smith, Abhishek Patel, Shikhar Tuli, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
2025	—	`conf`	MossNet: Mixture of State-Space Experts is a Multi-Head Attention. IJCNLP-AACL (long papers) Shikhar Tuli, James Seale Smith, Haris Jeelani, Chi-Heng Lin, Abhishek Patel, Vasili Ramanishka, Yen-Chang Hsu, Hongxia Jin
2025	J	`jnl`	MossNet: Mixture of State-Space Experts is a Multi-Head Attention. CoRR Shikhar Tuli, James Seale Smith, Haris Jeelani, Chi-Heng Lin, Abhishek Patel, Vasili Ramanishka, Yen-Chang Hsu, Hongxia Jin
2025	A*	`conf`	RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior. ICML Ching Hua Lee, Chouchang Yang, Jaejin Cho, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Yilin Shen, Hongxia Jin
2025	J	`jnl`	RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior. CoRR Ching Hua Lee, Chouchang Yang, Jaejin Cho, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Yilin Shen, Hongxia Jin
2025	J	`jnl`	SimuRA: Towards General Goal-Oriented Agent via Simulative Reasoning Architecture with LLM-Based World Model. CoRR Mingkai Deng, Jinyu Hou, Yilin Shen, Hongxia Jin, Graham Neubig, Zhiting Hu, Eric P. Xing
2025	—	`conf`	cnChemNER: A Dataset for Chinese Chemical Named Entity Recognition. ISWC (2) Haoran Zhang, Tingxin Jiang, Hongxia Jin, Ying Yang, Xiaowang Zhang, Zhi-Yong Feng
2024	—	`conf`	Adaptive Rank Selections for Low-Rank Approximation of Language Models. NAACL-HLT Shangqian Gao, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
2024	A*	`conf`	AlpaGasus: Training a Better Alpaca with Fewer Data. ICLR Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
2024	Misc	`conf`	An MVDR-Embedded U-Net Beamformer for Effective and Robust Multichannel Speech Enhancement. ICASSP Ching Hua Lee, Kashyap Patel, Chouchang Yang, Yilin Shen, Hongxia Jin
2024	—	`conf`	Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection. NAACL-HLT Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin
2024	A*	`conf`	CIFD: Controlled Information Flow to Enhance Knowledge Distillation. NeurIPS Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Jaejin Cho, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
2024	—	`conf`	Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters. CVPR Workshops James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin
2024	J	`jnl`	Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA. Trans. Mach. Learn. Res. James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin
2024	A*	`conf`	DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models. NeurIPS Shangqian Gao, Chi-Heng Lin, Ting Hua, Zheng Tang, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
2024	J	`jnl`	DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models. CoRR Shangqian Gao, Chi-Heng Lin, Ting Hua, Tang Zheng, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
2024	—	`conf`	DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling. NAACL-HLT Shikhar Tuli, Chi-Heng Lin, Yen-Chang Hsu, Niraj K. Jha, Yilin Shen, Hongxia Jin
2024	J	`jnl`	DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling. CoRR Shikhar Tuli, Chi-Heng Lin, Yen-Chang Hsu, Niraj K. Jha, Yilin Shen, Hongxia Jin
2024	A	`conf`	Efficient Layout-Guided Image Inpainting for Mobile Use. WACV Wenbo Li, Yi Wei, Yilin Shen, Hongxia Jin
2024	Misc	`conf`	Enabling Device Control Planning Capabilities of Small Language Model. ICASSP Sudipta Paul, Lingyu Zhang, Yilin Shen, Hongxia Jin
2024	Misc	`conf`	End-To-End Personalized Cuff-Less Blood Pressure Monitoring Using ECG and PPG Signals. ICASSP Suhas BN, Rakshith Sharma Srinivasa, Yashas Malur Saidutta, Jaejin Cho, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
2024	J	`jnl`	Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models. CoRR Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan, Hongxia Jin
2024	—	`conf`	Explicit over Implict: Explicit Diversity Conditions for Effective Question Answer Generation. LREC/COLING Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan, Hongxia Jin
2024	—	`conf`	Instruction-following Evaluation through Verbalizer Manipulation. NAACL-HLT (Findings) Shiyang Li, Jun Yan, Hai Wang, Zheng Tang, Xiang Ren, Vijay Srinivasan, Hongxia Jin
2024	Misc	`conf`	Leveraging Self-Supervised Speech Representations for Domain Adaptation in Speech Enhancement. ICASSP Ching Hua Lee, Chouchang Yang, Rakshith Sharma Srinivasa, Yashas Malur Saidutta, Jaejin Cho, Yilin Shen, Hongxia Jin
2024	J	`jnl`	MoDeGPT: Modular Decomposition for Large Language Model Compression. CoRR Chi-Heng Lin, Shangqian Gao, James Seale Smith, Abhishek Patel, Shikhar Tuli, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
2024	—	`conf`	SLiM: Speculative Decoding with Hypothesis Reduction. NAACL-HLT (Findings) Chi-Heng Lin, Shikhar Tuli, James Seale Smith, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
2024	A	`conf`	Token Fusion: Bridging the Gap between Token Pruning and Token Merging. WACV Minchul Kim, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
2024	Misc	`conf`	Unified Srgb Real Noise Synthesizing with Adaptive Feature Modulation. ICASSP Wenbo Li, Zhipeng Mo, Yilin Shen, Hongxia Jin
2024	A*	`conf`	Unleashing Multispectral Video's Potential in Semantic Segmentation: A Semi-supervised Viewpoint and New UAV-View Benchmark. NeurIPS Wei Ji, Jingjing Li, Wenbo Li, Yilin Shen, Li Cheng, Hongxia Jin
2024	Misc	`conf`	Zero-Shot Intent Classification Using a Semantic Similarity Aware Contrastive Loss and Large Language Model. ICASSP Jaejin Cho, Rakshith Sharma Srinivasa, Ching Hua Lee, Yashas Malur Saidutta, Chouchang Yang, Yilin Shen, Hongxia Jin
2023	J	`jnl`	AlpaGasus: Training A Better Alpaca with Fewer Data. CoRR Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
2023	A*	`conf`	CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss. NeurIPS Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching Hua Lee, Yilin Shen, Hongxia Jin
2023	J	`jnl`	CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss. CoRR Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching Hua Lee, Yilin Shen, Hongxia Jin
2023	A	`conf`	Compositional Generalization in Spoken Language Understanding. INTERSPEECH Avik Ray, Yilin Shen, Hongxia Jin
2023	J	`jnl`	Compositional Generalization in Spoken Language Understanding. CoRR Avik Ray, Yilin Shen, Hongxia Jin
2023	J	`jnl`	Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters. CoRR James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin
2023	J	`jnl`	Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA. CoRR James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin
2023	—	`conf`	Dynamic Low-rank Estimation for Transformer-based Language Models. EMNLP (Findings) Ting Hua, Xiao Li, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
2023	A*	`conf`	ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation. ICML Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang
2023	J	`jnl`	ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation. CoRR Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang
2023	A	`conf`	Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond. CIKM Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin
2023	J	`jnl`	Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond. CoRR Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin
2023	A*	`conf`	GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer. AAAI Miao Yin, Burak Uzkent, Yilin Shen, Hongxia Jin, Bo Yuan
2023	J	`jnl`	GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer. CoRR Miao Yin, Burak Uzkent, Yilin Shen, Hongxia Jin, Bo Yuan
2023	Misc	`conf`	Improved Mask-Based Neural Beamforming for Multichannel Speech Enhancement by Snapshot Matching Masking. ICASSP Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
2023	J	`jnl`	Instruction-following Evaluation through Verbalizer Manipulation. CoRR Shiyang Li, Jun Yan, Hai Wang, Zheng Tang, Xiang Ren, Vijay Srinivasan, Hongxia Jin
2023	A*	`conf`	Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models. ICLR Shangqian Gao, Burak Uzkent, Yilin Shen, Heng Huang, Hongxia Jin
2023	A	`conf`	One-stage Progressive Dichotomous Segmentation. BMVC Jing Zhu, Karim Ahmed, Wenbo Li, Yilin Shen, Hongxia Jin
2023	J	`jnl`	Prompt Tuning for Zero-shot Compositional Learning. CoRR Lingyu Zhang, Ting Hua, Yilin Shen, Hongxia Jin
2023	A	`conf`	Robust Keyword Spotting for Noisy Environments by Leveraging Speech Enhancement and Speech Presence Probability. INTERSPEECH Chouchang Yang, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Yilin Shen, Hongxia Jin
2023	Misc	`conf`	To Wake-Up or Not to Wake-Up: Reducing Keyword False Alarm by Successive Refinement. ICASSP Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
2023	J	`jnl`	To Wake-up or Not to Wake-up: Reducing Keyword False Alarm by Successive Refinement. CoRR Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
2023	J	`jnl`	Token Fusion: Bridging the Gap between Token Pruning and Token Merging. CoRR Minchul Kim, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
2023	J	`jnl`	Virtual Prompt Injection for Instruction-Tuned Large Language Models. CoRR Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin
2022	J	`jnl`	A Closer Look at Knowledge Distillation with Features, Logits, and Gradients. CoRR Yen-Chang Hsu, James Seale Smith, Yilin Shen, Zsolt Kira, Hongxia Jin
2022	—	`conf`	A New Concept of Knowledge based Question Answering (KBQA) System for Multi-hop Reasoning. NAACL-HLT Yu Wang, Vijay Srinivasan, Hongxia Jin
2022	—	`conf`	A New Design of VQA System based on Weighted Contextual Features. ICKG Yu Wang, Vijay Srinivasan, Hongxia Jin
2022	—	`conf`	A Robust Semantic Frame Parsing Pipeline on a New Complex Twitter Dataset. ICKG Yu Wang, Vijay Srinivasan, Hongxia Jin
2022	J	`jnl`	A Robust Semantic Frame Parsing Pipeline on a New Complex Twitter Dataset. CoRR Yu Wang, Hongxia Jin
2022	A*	`conf`	DictFormer: Tiny Transformer with Shared Dictionary. ICLR Qian Lou, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
2022	A	`conf`	Dual-lens Reference Image Super-Resolution. BMVC Jing Zhu, Wenbo Li, Hongxia Jin
2022	—	`conf`	Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling. EMNLP (Findings) Kalpa Gunaratna, Vijay Srinivasan, Akhila Yerukola, Hongxia Jin
2022	J	`jnl`	Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling. CoRR Kalpa Gunaratna, Vijay Srinivasan, Akhila Yerukola, Hongxia Jin
2022	—	`conf`	Foreground-Specialized Model Imitation for Instance Segmentation. ACCV (7) Dawei Li, Wenbo Li, Hongxia Jin
2022	J	`jnl`	Hybrid Rule-Neural Coreference Resolution System based on Actor-Critic Learning. CoRR Yu Wang, Hongxia Jin
2022	J	`jnl`	Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. CoRR Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, Hongxia Jin
2022	A*	`conf`	ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs. AAAI Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin
2022	A*	`conf`	Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations. AAAI Zhan Shi, Yilin Shen, Hongxia Jin, Xiaodan Zhu
2022	A*	`conf`	Language model compression with weighted low-rank factorization. ICLR Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin
2022	J	`jnl`	Language model compression with weighted low-rank factorization. CoRR Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin
2022	A*	`conf`	Lite-MDETR: A Lightweight Multi-Modal Detector. CVPR Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, Hongxia Jin
2022	J	`jnl`	MGA-VQA: Multi-Granularity Alignment for Visual Question Answering. CoRR Peixi Xiong, Yilin Shen, Hongxia Jin
2022	J	`jnl`	Neural Coreference Resolution based on Reinforcement Learning. CoRR Yu Wang, Hongxia Jin
2022	J	`jnl`	Numerical Optimizations for Weighted Low-rank Estimation on Language Model. CoRR Ting Hua, Yen-Chang Hsu, Felicity Wang, Qian Lou, Yilin Shen, Hongxia Jin
2022	A*	`conf`	Numerical Optimizations for Weighted Low-rank Estimation on Language Models. EMNLP Ting Hua, Yen-Chang Hsu, Felicity Wang, Qian Lou, Yilin Shen, Hongxia Jin
2022	A*	`conf`	Text-Based Interactive Recommendation via Offline Reinforcement Learning. AAAI Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin
2021	J	`jnl`	A Coarse to Fine Question Answering System based on Reinforcement Learning. CoRR Yu Wang, Hongxia Jin
2021	A*	`conf`	Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. ICCV James Seale Smith, Yen-Chang Hsu, Jonathan C. Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira
2021	J	`jnl`	Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. CoRR James Seale Smith, Yen-Chang Hsu, Jonathan C. Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira
2021	J	`jnl`	An Adversarial Learning based Multi-Step Spoken Language Understanding System through Human-Computer Interaction. CoRR Yu Wang, Yilin Shen, Hongxia Jin
2021	Misc	`conf`	An End-To-End Actor-Critic-Based Neural Coreference Resolution System. ICASSP Yu Wang, Yilin Shen, Hongxia Jin
2021	A*	`conf`	Automatic Mixed-Precision Quantization Search of BERT. IJCAI Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin
2021	J	`jnl`	Automatic Mixed-Precision Quantization Search of BERT. CoRR Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin
2021	A	`conf`	Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase. EACL Akhila Yerukola, Mason Bretan, Hongxia Jin
2021	J	`jnl`	Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase. CoRR Akhila Yerukola, Mason Bretan, Hongxia Jin
2021	J	`jnl`	Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU. CoRR Yilin Shen, Yen-Chang Hsu, Avik Ray, Hongxia Jin
2021	—	`conf`	Enhancing the generalization for Intent Classification and Out-of-Domain Detection in SLU. ACL/IJCNLP (1) Yilin Shen, Yen-Chang Hsu, Avik Ray, Hongxia Jin
2021	J	`jnl`	Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web. CoRR Kalpa Gunaratna, Yu Wang, Hongxia Jin
2021	J	`jnl`	Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data. CoRR Junjiao Tian, Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira
2021	—	`conf`	Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. NAACL-HLT Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, Hongxia Jin
2021	J	`jnl`	ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs. CoRR Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin
2021	Misc	`conf`	Multi-Step Spoken Language Understanding System Based on Adversarial Learning. ICASSP Yu Wang, Yilin Shen, Hongxia Jin
2021	A*	`conf`	Negative Data Augmentation. ICLR Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon
2021	J	`jnl`	Negative Data Augmentation. CoRR Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon
2021	A*	`conf`	SAFENet: A Secure, Accurate and Fast Neural Network Inference. ICLR Qian Lou, Yilin Shen, Hongxia Jin, Lei Jiang
2021	A	`conf`	Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones. CIKM Kalpa Gunaratna, Vijay Srinivasan, Sandeep Nama, Hongxia Jin
2021	J	`jnl`	Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones. CoRR Kalpa Gunaratna, Vijay Srinivasan, Sandeep Nama, Hongxia Jin
2020	Misc	`conf`	A BI-Model Approach for Handling Unknown Slot Values in Dialogue State Tracking. ICASSP Yu Wang, Yilin Shen, Hongxia Jin
2020	J	`jnl`	A Complex KBQA System using Multiple Reasoning Paths. CoRR Kechen Qin, Yu Wang, Cheng Li, Kalpa Gunaratna, Hongxia Jin, Virgil Pavlu, Javed A. Aslam
2020	J	`jnl`	A New Concept of Multiple Neural Networks Structure Using Convex Combination. IEEE Trans. Neural Networks Learn. Syst. Yu Wang, Yue Deng, Yilin Shen, Hongxia Jin
2020	A*	`conf`	Activity Recommendation: Optimizing Life in the Long Term. PerCom Julian A. Ramos Rojas, Johana Rosas, Yilin Shen, Hongxia Jin, Anind K. Dey
2020	A	`conf`	An Interactive Adversarial Reward Learning-Based Spoken Language Understanding System. INTERSPEECH Yu Wang, Yilin Shen, Hongxia Jin
2020	A	`conf`	An Interpretable Multimodal Visual Question Answering System using Attention-based Weighted Contextual Features. AAMAS Yu Wang, Yilin Shen, Hongxia Jin
2020	—	`conf`	Conditional Image Repainting via Semantic Bridge and Piecewise Value Function. ECCV (9) Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, Boxin Shi
2020	J	`jnl`	Constructing biomedical domain-specific knowledge graph with minimum supervision. Knowl. Inf. Syst. Jianbo Yuan, Zhiwei Jin, Han Guo, Hongxia Jin, Xianchao Zhang, Tristram H. Smith, Jiebo Luo
2020	J	`jnl`	Customizable and Rigorous Location Privacy through Policy Graph. CoRR Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, Xiaofeng Xu
2020	A	`conf`	Explainable and Efficient Sequential Correlation Network for 3D Single Person Concurrent Activity Detection. IROS Yi Wei, Wenbo Li, Ming-Ching Chang, Hongxia Jin, Siwei Lyu
2020	A*	`conf`	Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data. CVPR Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira
2020	J	`jnl`	Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data. CoRR Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira
2020	—	`conf`	Generating Dialogue Responses from a Semantic Latent Space. EMNLP (1) Wei-Jen Ko, Avik Ray, Yilin Shen, Hongxia Jin
2020	J	`jnl`	Generating Dialogue Responses from a Semantic Latent Space. CoRR Wei-Jen Ko, Avik Ray, Yilin Shen, Hongxia Jin
2020	A*	`conf`	MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis. CVPR Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, Boxin Shi
2020	J	`jnl`	Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN. CoRR Yilin Shen, Wenhu Chen, Hongxia Jin
2020	—	`conf`	PGLP: Customizable and Rigorous Location Privacy Through Policy Graph. ESORICS (1) Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, Xiaofeng Xu
2020	J	`jnl`	Reward Constrained Interactive Recommendation with Natural Language Feedback. CoRR Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin
2020	A*	`conf`	Towards Hands-Free Visual Dialog Interactive Recommendation. AAAI Tong Yu, Yilin Shen, Hongxia Jin
2019	A*	`conf`	A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System. AAAI Yu Wang, Hongxia Jin
2019	A	`conf`	A New Concept of Convex based Multiple Neural Networks Structure. AAMAS Yu Wang, Yue Deng, Yilin Shen, Hongxia Jin
2019	—	`conf`	A Progressive Model to Enable Continual Learning for Semantic Slot Filling. EMNLP/IJCNLP (1) Yilin Shen, Xiangyu Zeng, Hongxia Jin
2019	A*	`conf`	A Visual Dialog Augmented Interactive Recommender System. KDD Tong Yu, Yilin Shen, Hongxia Jin
2019	Misc	`conf`	Adversarial Multi-label Prediction for Spoken and Visual Signal Tagging. ICASSP Yue Deng, KaWai Chen, Yilin Shen, Hongxia Jin
2019	J	`jnl`	Beyond word embeddings: learning entity and concept representations from large scale knowledge bases. Inf. Retr. J. Walid Shalaby, Wlodek Zadrozny, Hongxia Jin
2019	—	`conf`	Fast Domain Adaptation of Semantic Parsers via Paraphrase Attention. DeepLo@EMNLP-IJCNLP Avik Ray, Yilin Shen, Hongxia Jin
2019	A	`conf`	Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance. INTERSPEECH Yilin Shen, Wenhu Chen, Hongxia Jin
2019	A	`conf`	Iterative Delexicalization for Improved Spoken Language Understanding. INTERSPEECH Avik Ray, Yilin Shen, Hongxia Jin
2019	J	`jnl`	Iterative Delexicalization for Improved Spoken Language Understanding. CoRR Avik Ray, Yilin Shen, Hongxia Jin
2019	A*	`conf`	Learning Assistance from an Adversarial Critic for Multi-Outputs Prediction. IJCAI Yue Deng, Yilin Shen, Hongxia Jin
2019	A	`conf`	Rare Sound Event Detection Using Deep Learning and Data Augmentation. INTERSPEECH Yanping Chen, Hongxia Jin
2019	Misc	`conf`	SLiQA-I: Towards Cold-start Development of End-to-end Spoken Language Interface for Question Answering. ICASSP Yilin Shen, Yu Wang, Abhishek Patel, Hongxia Jin
2019	—	`conf`	SkillBot: Towards Automatic Skill Development via User Demonstration. NAACL-HLT (Demonstrations) Yilin Shen, Avik Ray, Hongxia Jin, Sandeep Nama
2019	A*	`conf`	Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded. ICCV Ramprasaath Ramasamy Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Shalini Ghosh, Larry P. Heck, Dhruv Batra, Devi Parikh
2019	J	`jnl`	Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded. CoRR Ramprasaath R. Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Dhruv Batra, Devi Parikh
2019	A	`conf`	Teach Once and Use Everywhere - Building AI Assistant Eco-Skills via User Instruction and Demonstration. MobiSys Yilin Shen, Sandeep Nama, Hongxia Jin
2019	A*	`conf`	Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning. NeurIPS Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen
2019	A*	`conf`	Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning. ACM Multimedia Tong Yu, Yilin Shen, Ruiyi Zhang, Xiangyu Zeng, Hongxia Jin
2018	—	`conf`	A Bi-Model Based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling. NAACL-HLT (2) Yu Wang, Yilin Shen, Hongxia Jin
2018	J	`jnl`	A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling. CoRR Yu Wang, Yilin Shen, Hongxia Jin
2018	C	`conf`	A Boosting-based Deep Neural Networks Algorithm for Reinforcement Learning. ACC Yu Wang, Hongxia Jin
2018	A	`conf`	A Deep Reinforcement Learning Based Multimodal Coaching Model (DCM) for Slot Filling in Spoken Language Understanding(SLU). INTERSPEECH Yu Wang, Abhishek Patel, Yilin Shen, Hongxia Jin
2018	A*	`conf`	A Neural Transition-based Model for Nested Mention Recognition. EMNLP Bailin Wang, Wei Lu, Yu Wang, Hongxia Jin
2018	J	`jnl`	A Neural Transition-based Model for Nested Mention Recognition. CoRR Bailin Wang, Wei Lu, Yu Wang, Hongxia Jin
2018	J	`jnl`	A New Concept of Deep Reinforcement Learning based Augmented General Sequence Tagging System. CoRR Yu Wang, Abhishek Patel, Hongxia Jin
2018	B	`conf`	A New Concept of Deep Reinforcement Learning based Augmented General Tagging System. COLING Yu Wang, Abhishek Patel, Hongxia Jin
2018	A	`conf`	Accelerating Time Series Searching with Large Uniform Scaling. SDM Yilin Shen, Yanping Chen, Eamonn J. Keogh, Hongxia Jin
2018	A*	`conf`	Adversarial Active Learning for Sequences Labeling and Generation. IJCAI Yue Deng, KaWai Chen, Yilin Shen, Hongxia Jin
2018	J	`jnl`	Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases. CoRR Walid Shalaby, Wlodek Zadrozny, Hongxia Jin
2018	—	`conf`	CRUISE: Cold-Start New Skill Development via Iterative Utterance Generation. ACL (4) Yilin Shen, Avik Ray, Abhishek Patel, Hongxia Jin
2018	A	`conf`	Interactive recommendation via deep neural memory augmented contextual bandits. RecSys Yilin Shen, Yue Deng, Avik Ray, Hongxia Jin
2018	A*	`conf`	Learning Out-of-Vocabulary Words in Intelligent Personal Agents. IJCAI Avik Ray, Yilin Shen, Hongxia Jin
2018	A*	`conf`	Network Approximation using Tensor Sketching. IJCAI Shiva Prasad Kasiviswanathan, Nina Narodytska, Hongxia Jin
2018	A	`conf`	Robust Spoken Language Understanding via Paraphrasing. INTERSPEECH Avik Ray, Yilin Shen, Hongxia Jin
2018	J	`jnl`	Robust Spoken Language Understanding via Paraphrasing. CoRR Avik Ray, Yilin Shen, Hongxia Jin
2018	J	`jnl`	RuleSelector: Selecting Conditional Action Rules from User Behavior Patterns. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Vijay Srinivasan, Christian Koehler, Hongxia Jin
2018	A	`conf`	Training Recurrent Neural Network through Moment Matching for NLP Applications. INTERSPEECH Yue Deng, Yilin Shen, KaWai Chen, Hongxia Jin
2018	A	`conf`	User Information Augmented Semantic Frame Parsing Using Progressive Neural Networks. INTERSPEECH Yilin Shen, Xiangyu Zeng, Yu Wang, Hongxia Jin
2018	J	`jnl`	User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks. CoRR Yilin Shen, Xiangyu Zeng, Yu Wang, Hongxia Jin
2017	J	`jnl`	Deep Neural Network Approximation using Tensor Sketching. CoRR Shiva Prasad Kasiviswanathan, Nina Narodytska, Hongxia Jin
2017	J	`jnl`	Differentially Private K-Means Clustering and a Hybrid Approach to Private Optimization. ACM Trans. Priv. Secur. Dong Su, Jianneng Cao, Ninghui Li, Elisa Bertino, Min Lyu, Hongxia Jin
2017	A*	`conf`	Disguise Adversarial Networks for Click-through Rate Prediction. IJCAI Yue Deng, Yilin Shen, Hongxia Jin
2017	J	`jnl`	Generalizing DTW to the multi-dimensional case requires an adaptive approach. Data Min. Knowl. Discov. Mohammad Shokoohi-Yekta, Bing Hu, Hongxia Jin, Jun Wang, Eamonn J. Keogh
2017	—	`conf`	One-shot learning for fine-grained relation extraction via convolutional siamese neural network. IEEE BigData Jianbo Yuan, Han Guo, Zhiwei Jin, Hongxia Jin, Xianchao Zhang, Jiebo Luo
2017	B	`conf`	PCASA: Proximity Based Continuous and Secure Authentication of Personal Devices. SECON Pengfei Hu, Parth H. Pathak, Yilin Shen, Hongxia Jin, Prasant Mohapatra
2017	A	`conf`	PIANO: Proximity-Based User Authentication on Voice-Powered Internet-of-Things Devices. ICDCS Neil Zhenqiang Gong, Altay Ozen, Yu Wu, Xiaoyu Cao, Richard Shin, Dawn Song, Hongxia Jin, Xuan Bao
2017	J	`jnl`	PIANO: Proximity-based User Authentication on Voice-Powered Internet-of-Things Devices. CoRR Neil Zhenqiang Gong, Altay Ozen, Yu Wu, Xiaoyu Cao, Eui Chul Richard Shin, Dawn Xiaodong Song, Hongxia Jin, Xuan Bao
2017	A*	`conf`	Private Incremental Regression. PODS Shiva Prasad Kasiviswanathan, Kobbi Nissim, Hongxia Jin
2017	J	`jnl`	Private Incremental Regression. CoRR Shiva Prasad Kasiviswanathan, Kobbi Nissim, Hongxia Jin
2017	A*	`conf`	Searching Time Series with Invariance to Large Amounts of Uniform Scaling. ICDE Yilin Shen, Yanping Chen, Eamonn J. Keogh, Hongxia Jin
2017	C	`conf`	Secure Pick Up: Implicit Authentication When You Start Using the Smartphone. SACMAT Wei-Han Lee, Xiaochen Liu, Yilin Shen, Hongxia Jin, Ruby B. Lee
2017	J	`jnl`	Secure Pick Up: Implicit Authentication When You Start Using the Smartphone. CoRR Wei-Han Lee, Xiaochen Liu, Yilin Shen, Hongxia Jin, Ruby B. Lee
2016	A	`conf`	An Information-Theoretic Approach to Individual Sequential Data Sanitization. WSDM Luca Bonomi, Liyue Fan, Hongxia Jin
2016	A	`conf`	Context Matters?: How Adding the Obfuscation Option Affects End Users' Data Disclosure Decisions. IUI Jing Wang, Na Wang, Hongxia Jin
2016	J	`jnl`	DPHMM: Customizable Data Release with Differential Privacy via Hidden Markov Model. CoRR Yonghui Xiao, Yilin Shen, Jinfei Liu, Li Xiong, Hongxia Jin, Xiaofeng Xu
2016	—	`conf`	Differentially Private K-Means Clustering. CODASPY Dong Su, Jianneng Cao, Ninghui Li, Elisa Bertino, Hongxia Jin
2016	—	`conf`	Differentially Private User Data Perturbation with Multi-level Privacy Controls. ECML/PKDD (2) Yilin Shen, Rui Chen, Hongxia Jin
2016	A*	`conf`	Efficient Private Empirical Risk Minimization for High-dimensional Learning. ICML Shiva Prasad Kasiviswanathan, Hongxia Jin
2016	A*	`conf`	EpicRec: Towards Practical Differentially Private Framework for Personalized Recommendation. CCS Yilin Shen, Hongxia Jin
2016	—	`conf`	I SBP-BRiMS Cailing Dong, Yilin Shen, Bin Zhou, Hongxia Jin
2016	—	`conf`	PPM: A Privacy Prediction Model for Online Social Networks. SocInfo (2) Cailing Dong, Hongxia Jin, Bart P. Knijnenburg
2016	J	`jnl`	PPM: A Privacy Prediction Model for Online Social Networks. CoRR Cailing Dong, Hongxia Jin, Bart P. Knijnenburg
2016	A	`conf`	PUPPIES: Transformation-Supported Personalized Privacy Preserving Partial Image Sharing. DSN Jianping He, Bin Liu, Deguang Kong, Xuan Bao, Na Wang, Hongxia Jin, George Kesidis
2016	A*	`conf`	Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features. AAAI Lam Tran, Deguang Kong, Hongxia Jin, Ji Liu
2016	A*	`conf`	Private spatial data aggregation in the local setting. ICDE Rui Chen, Haoran Li, A. K. Qin, Shiva Prasad Kasiviswanathan, Hongxia Jin
2015	A*	`conf`	A Practical Framework for Privacy-Preserving Data Analytics. WWW Liyue Fan, Hongxia Jin
2015	A*	`conf`	AUTOREB: Automatically Understanding the Review-to-Behavior Fidelity in Android Applications. CCS Deguang Kong, Lei Cen, Hongxia Jin
2015	A	`conf`	Albatross: A Privacy-Preserving Location Sharing System. AsiaCCS Gökay Saldamli, Richard Chow, Hongxia Jin
2015	J	`jnl`	Albatross: a Privacy-Preserving Location Sharing System. CoRR Gökay Saldamli, Richard Chow, Hongxia Jin
2015	J	`jnl`	Differentially Private $k$-Means Clustering. CoRR Dong Su, Jianneng Cao, Ninghui Li, Elisa Bertino, Hongxia Jin
2015	A	`conf`	Efficient Privilege De-Escalation for Ad Libraries in Mobile Apps. MobiSys Bin Liu, Bin Liu, Hongxia Jin, Ramesh Govindan
2015	B	`conf`	Investigating Effects of Control and Ads Awareness on Android Users' Privacy Behaviors and Perceptions. MobileHCI Na Wang, Bo Zhang, Bin Liu, Hongxia Jin
2015	A	`conf`	Mobile App Security Risk Assessment: A Crowdsourcing Ranking Approach from User Comments. SDM Lei Cen, Deguang Kong, Hongxia Jin, Luo Si
2015	A	`conf`	On Privacy Preserving Partial Image Sharing. ICDCS Jianping He, Bin Liu, Xuan Bao, Hongxia Jin, George Kesidis
2015	A	`conf`	Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference. WSDM Bin Liu, Deguang Kong, Lei Cen, Neil Zhenqiang Gong, Hongxia Jin, Hui Xiong
2015	Misc	`conf`	PinPlace: associate semantic meanings with indoor locations without active fingerprinting. UbiComp Xuan Bao, Bin Liu, Bo Tang, Bing Hu, Deguang Kong, Hongxia Jin
2015	A	`conf`	Predicting Privacy Behavior on Online Social Networks. ICWSM Cailing Dong, Hongxia Jin, Bart P. Knijnenburg
2015	A	`conf`	Private Analysis of Infinite Data Streams via Retroactive Grouping. CIKM Rui Chen, Yilin Shen, Hongxia Jin
2015	A	`conf`	Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework. CIKM Bing Hu, Bin Liu, Neil Zhenqiang Gong, Deguang Kong, Hongxia Jin
2015	A	`conf`	Towards Permission Request Prediction on Mobile Apps via Structure Feature Learning. SDM Deguang Kong, Hongxia Jin
2014	—	`conf`	Connect the dots by understanding user status and transitions. UbiComp Adjunct Xuan Bao, Yilin Shen, Neil Zhenqiang Gong, Hongxia Jin, Bing Hu
2014	A	`conf`	Controllable Information Sharing for User Accounts Linkage across Multiple Online Social Networks. CIKM Yilin Shen, Hongxia Jin
2014	—	`conf`	Defending against user identity linkage attack across multiple online social networks. WWW (Companion Volume) Yilin Shen, Fengjiao Wang, Hongxia Jin
2014	A	`conf`	Location sharing privacy preference: analysis and personalized recommendation. IUI Jierui Xie, Bart P. Knijnenburg, Hongxia Jin
2014	A	`conf`	Privacy Concerns in Online Recommender Systems: Influences of Control and User Data Input. SOUPS Bo Zhang, Na Wang, Hongxia Jin
2014	A*	`conf`	Privacy-Preserving Personalized Recommendation: An Instance-Based Approach via Differential Privacy. ICDM Yilin Shen, Hongxia Jin
2014	—	`conf`	User Comment Analysis for Android apps and CSPI Detection with Comment Expansion. PIR@SIGIR Lei Cen, Luo Si, Ninghui Li, Hongxia Jin
2013	C	`conf`	Counteracting the Negative Effect of Form Auto-completion on the Privacy Calculus. ICIS Bart Piet Knijnenburg, Alfred Kobsa, Hongxia Jin
2013	J	`jnl`	Differential Data Analysis for Recommender Systems. CoRR Richard Chow, Hongxia Jin, Bart P. Knijnenburg, Gökay Saldamli
2013	A	`conf`	Differential data analysis for recommender systems. RecSys Richard Chow, Hongxia Jin, Bart P. Knijnenburg, Gökay Saldamli
2013	J	`jnl`	Dimensionality of information disclosure behavior. Int. J. Hum. Comput. Stud. Bart P. Knijnenburg, Alfred Kobsa, Hongxia Jin
2013	A*	`conf`	Preference-based location sharing: are more privacy options really better? CHI Bart P. Knijnenburg, Alfred Kobsa, Hongxia Jin
2013	—	`conf`	Private proximity testing with an untrusted server. WISEC Gökay Saldamli, Richard Chow, Hongxia Jin, Bart P. Knijnenburg
2013	—	`conf`	Recommendations-based location privacy control. PerCom Workshops Hongxia Jin, Gökay Saldamli, Richard Chow, Bart P. Knijnenburg
2013	—	`conf`	Track D: Cyber-security ecosystem. DEST Haldong Xia, Vidyasagar M. Potdar, Hongxia Jin
2012	—	`conf`	An analytical solution for consent management in patient privacy preservation. IHI Qihua Wang, Hongxia Jin
2012	A*	`conf`	Community discovery and profiling with social messages. KDD Wenjun Zhou, Hongxia Jin, Yan Liu
2012	A*	`conf`	Content Recommendation for Attention Management in Unified Social Messaging. AAAI Hongxia Jin
2012	A	`conf`	User activity profiling with multi-layer analysis. CIKM Hongxia Jin
2011	—	`conf`	Content usage tracking in superdistribution. CCNC Di Ma, Hongxia Jin
2011	C	`conf`	Data leakage mitigation for discretionary access control in collaboration clouds. SACMAT Qihua Wang, Hongxia Jin
2011	—	`conf`	Decision Support for Patient Consent Management. HISB Qihua Wang, Hongxia Jin
2011	Misc	`conf`	Efficient traitor tracing for clone attack in content protection. SAC Hongxia Jin, Jeffrey B. Lotspiech
2011	Misc	`conf`	Piracy Protection for Streaming Content in Home Networks. SEC Hongxia Jin, Jeffrey B. Lotspiech
2011	A	`conf`	Quantified risk-adaptive access control for patient privacy protection in health information systems. AsiaCCS Qihua Wang, Hongxia Jin
2011	—	`conf`	Social Analytics for Personalization in Work Environments. WAIM Qihua Wang, Hongxia Jin
2010	Misc	`conf`	A Metric-Based Scheme for Evaluating Tamper Resistant Software Systems. SEC Gideon Myles, Hongxia Jin
2010	A	`conf`	Collaboration analytics: mining work patterns from collaboration activities. CIKM Qihua Wang, Hongxia Jin, Yan Liu
2010	J	`jnl`	Defending against the pirate evolution attack. Int. J. Appl. Cryptogr. Hongxia Jin, Jeffrey B. Lotspiech, Serdar Pehlivanoglu
2010	A	`conf`	Exploring online social activities for adaptive search personalization. CIKM Qihua Wang, Hongxia Jin
2010	—	`ed.`	Proceedings of the 10th ACM Workshop on Digital Rights Management, Chicago, Illinois, USA, October 4, 2010 Digital Rights Management Workshop Ehab Al-Shaer, Hongxia Jin, Marc Joye
2010	A*	`conf`	SCOTT: set cover tracing technology. ACM Multimedia Dulce B. Ponceleon, Jeff Lostpiech, Hongxia Jin, Eric Wilcox
2009	Misc	`conf`	Broadcast Encryption for Differently Privileged. SEC Hongxia Jin, Jeffery Lotspiech
2009	A	`conf`	Can i play the movie i (or you) bought? new trends in DRM. ICME Hongxia Jin
2009	C	`conf`	Defending against the Pirate Evolution Attack. ISPEC Hongxia Jin, Jeffrey B. Lotspiech
2009	J	`jnl`	Efficient Forensic Analysis for Anonymous Attack in Secure Content Distribution. Int. J. Digit. Crime Forensics Hongxia Jin
2009	C	`conf`	Efficient Traitor Tracing for Content Protection. SECRYPT Hongxia Jin
2009	—	`conf`	Practical tracing traitors. Media Forensics and Security Jeffrey B. Lotspiech, Hongxia Jin
2009	—	`ed.`	Proceedings of the 9th ACM Workshop on Digital Rights Management, Chicago, Illinois, USA, November 9, 2009 Digital Rights Management Workshop Ehab Al-Shaer, Hongxia Jin, Gregory L. Heileman
2009	—	`conf`	Selective message distribution with people-tagging in user-collaborative environments. CHI Extended Abstracts Qihua Wang, Hongxia Jin
2009	C	`conf`	Traitor Tracing without A Priori Bound on the Coalition Size. ISC Hongxia Jin, Serdar Pehlivanoglu
2009	A	`conf`	Unifying Broadcast Encryption and Traitor Tracing for Content Protection. ACSAC Hongxia Jin, Jeffrey B. Lotspiech
2009	A	`conf`	Usable Access Control in Collaborative Environments: Authorization Based on People-Tagging. ESORICS Qihua Wang, Hongxia Jin, Ninghui Li
2008	—	`conf`	Adaptive traitor tracing for large anonymous attack. Digital Rights Management Workshop Hongxia Jin, Jeffrey B. Lotspiech, Michael J. Nelson, Nimrod Megiddo
2008	C	`conf`	Automatic Categorization of Tags in Collaborative Environments. CollaborateCom Qihua Wang, Hongxia Jin, Stefan Nusser
2008	Misc	`conf`	Efficient Coalition Detection in Traitor Tracing. SEC Hongxia Jin, Jeffery Lotspiech, Nimrod Megiddo
2008	A*	`conf`	Enabling secure digital marketplace. WWW Hongxia Jin, Vladimir Zbarsky
2008	A	`conf`	Generalized traitor tracing for nested codes. ICME Avinash L. Varna, Hongxia Jin
2008	C	`conf`	Traitor Tracing for Anonymous Attack in Content Protection. SECRYPT Hongxia Jin
2007	C	`conf`	A Closer Look at Broadcast Encryption and Traitor Tracing for Content Protection. SECRYPT Hongxia Jin
2007	—	`conf`	A technique for self-certifying tamper resistant software. QoP Hongxia Jin, Ginger Myles
2007	A*	`conf`	Adaptive Traitor Tracing with Bayesian Networks. AAAI Philip Zigoris, Hongxia Jin
2007	B	`conf`	Bayesian Methods for Practical Traitor Tracing. ACNS Philip Zigoris, Hongxia Jin
2007	J	`jnl`	Combinatorial Properties for Traceability Codes Using Error Correcting Codes. IEEE Trans. Inf. Theory Hongxia Jin, Mario Blaum
2007	A	`conf`	Renewable Traitor Tracing: A Trace-Revoke-Trace System For Anonymous Attack. ESORICS Hongxia Jin, Jeffery Lotspiech
2007	—	`conf`	The Application of Neuro-FDT in Urban Short-Term Traffic Flow Prediction. ICNC (5) Hongxia Jin
2007	—	`conf`	The Application of Neuro-Fuzzy Decision Tree in Optimal Selection of Teconological Innovation Projects. SNPD (3) Hongxia Jin, Jianna Zhao, Xiaoxuan Chen
2006	—	`conf`	Higher Dependability and Security for Mobile Applications. SPC Hongxia Jin
2006	A	`conf`	Hybrid Traitor Tracing. ICME Hongxia Jin, Jeffery Lotspiech
2006	C	`conf`	Practical Forensic Analysis in Advanced Access Content System. ISPEC Hongxia Jin, Jeffery Lotspiech
2006	C	`conf`	Privacy, traceability, and anonymity for content protection. PST Hongxia Jin
2006	C	`conf`	Traitor Tracing for Subscription-Based Systems. SECRYPT Hongxia Jin, Jeffrey B. Lotspiech, Mario Blaum
2005	A	`conf`	Attacks and Forensic Analysis for Multimedia Content Protection. ICME Hongxia Jin, Jeffery Lotspiech
2005	—	`conf`	Flexible Traitor Tracing for Anonymous Attacks. Communications and Multimedia Security Hongxia Jin, Jeffery Lotspiech
2005	—	`conf`	Self-validating Branch-Based Software Watermarking. Information Hiding Ginger Myles, Hongxia Jin
2005	C	`conf`	Towards Better Software Tamper Resistance. ISC Hongxia Jin, Ginger Myles, Jeffery Lotspiech
2004	—	`conf`	Traitor tracing for prerecorded and recordable media. Digital Rights Management Workshop Hongxia Jin, Jeffery Lotspiech, Stefan Nusser
2003	A	`conf`	Forensic Analysis for Tamper Resistant Software. ISSRE Hongxia Jin, Jeffery Lotspiech
2003	C	`conf`	Proactive Software Tampering Detection. ISC Hongxia Jin, Jeffery Lotspiech
2003	B	`conf`	Software Tamper Resistance Using Program Certificates. SAFECOMP Hongxia Jin, Gregory F. Sullivan, Gerald M. Masson
2001	A	`conf`	An Approach to Higher Reliability Using Software Components. ISSRE Hongxia Jin, Peter Santhanam
1999	Misc	`conf`	Run-time Result Certification for Distributed Computations. PDPTA Hongxia Jin, Gregory F. Sullivan, Gerald M. Masson