Run-time Result Certification for Distributed Computations. - Hongxia Jin; Gregory F. Sullivan; Gerald M. Masson (PDPTA, 1999)

An Approach to Higher Reliability Using Software Components. - Hongxia Jin; Peter Santhanam (ISSRE, 2001)

Forensic Analysis for Tamper Resistant Software. - Hongxia Jin; Jeffery Lotspiech (ISSRE, 2003)

Proactive Software Tampering Detection. - Hongxia Jin; Jeffery Lotspiech (ISC, 2003)

Software Tamper Resistance Using Program Certificates. - Hongxia Jin; Gregory F. Sullivan; Gerald M. Masson (SAFECOMP, 2003)

Traitor tracing for prerecorded and recordable media. - Hongxia Jin; Jeffery Lotspiech; Stefan Nusser (Digital Rights Management Workshop, 2004)

Flexible Traitor Tracing for Anonymous Attacks. - Hongxia Jin; Jeffery Lotspiech (Communications and Multimedia Security, 2005)

Attacks and Forensic Analysis for Multimedia Content Protection. - Hongxia Jin; Jeffery Lotspiech (ICME, 2005)

Self-validating Branch-Based Software Watermarking. - Ginger Myles; Hongxia Jin (Information Hiding, 2005)

Towards Better Software Tamper Resistance. - Hongxia Jin; Ginger Myles; Jeffery Lotspiech (ISC, 2005)

Hybrid Traitor Tracing. - Hongxia Jin; Jeffery Lotspiech (ICME, 2006)

Practical Forensic Analysis in Advanced Access Content System. - Hongxia Jin; Jeffery Lotspiech (ISPEC, 2006)

Privacy, traceability, and anonymity for content protection. - Hongxia Jin (PST, 2006)

Traitor Tracing for Subscription-Based Systems. - Hongxia Jin; Jeffrey B. Lotspiech; Mario Blaum (SECRYPT, 2006)

Higher Dependability and Security for Mobile Applications. - Hongxia Jin (SPC, 2006)

Adaptive Traitor Tracing with Bayesian Networks. - Philip Zigoris; Hongxia Jin (AAAI, 2007)

Bayesian Methods for Practical Traitor Tracing. - Philip Zigoris; Hongxia Jin (ACNS, 2007)

A technique for self-certifying tamper resistant software. - Hongxia Jin; Ginger Myles (QoP, 2007)

Renewable Traitor Tracing: A Trace-Revoke-Trace System For Anonymous Attack. - Hongxia Jin; Jeffery Lotspiech (ESORICS, 2007)

The Application of Neuro-FDT in Urban Short-Term Traffic Flow Prediction. - Hongxia Jin (ICNC (5), 2007)

A Closer Look at Broadcast Encryption and Traitor Tracing for Content Protection. - Hongxia Jin (SECRYPT, 2007)

The Application of Neuro-Fuzzy Decision Tree in Optimal Selection of Teconological Innovation Projects. - Hongxia Jin; Jianna Zhao; Xiaoxuan Chen (SNPD (3), 2007)

Combinatorial Properties for Traceability Codes Using Error Correcting Codes. - Hongxia Jin; Mario Blaum (IEEE Trans. Inf. Theory, 2007)

Automatic Categorization of Tags in Collaborative Environments. - Qihua Wang; Hongxia Jin; Stefan Nusser (CollaborateCom, 2008)

Adaptive traitor tracing for large anonymous attack. - Hongxia Jin; Jeffrey B. Lotspiech; Michael J. Nelson 002; Nimrod Megiddo (Digital Rights Management Workshop, 2008)

Generalized traitor tracing for nested codes. - Avinash L. Varna; Hongxia Jin (ICME, 2008)

Efficient Coalition Detection in Traitor Tracing. - Hongxia Jin; Jeffery Lotspiech; Nimrod Megiddo (SEC, 2008)

Traitor Tracing for Anonymous Attack in Content Protection. - Hongxia Jin (SECRYPT, 2008)

Enabling secure digital marketplace. - Hongxia Jin; Vladimir Zbarsky (WWW, 2008)

Unifying Broadcast Encryption and Traitor Tracing for Content Protection. - Hongxia Jin; Jeffrey B. Lotspiech (ACSAC, 2009)

Selective message distribution with people-tagging in user-collaborative environments. - Qihua Wang; Hongxia Jin (CHI Extended Abstracts, 2009)

Usable Access Control in Collaborative Environments: Authorization Based on People-Tagging. - Qihua Wang; Hongxia Jin; Ninghui Li (ESORICS, 2009)

Can i play the movie i (or you) bought? new trends in DRM. - Hongxia Jin (ICME, 2009)

Defending against the Pirate Evolution Attack. - Hongxia Jin; Jeffrey B. Lotspiech (ISPEC, 2009)

Traitor Tracing without A Priori Bound on the Coalition Size. - Hongxia Jin; Serdar Pehlivanoglu (ISC, 2009)

Practical tracing traitors. - Jeffrey B. Lotspiech; Hongxia Jin (Media Forensics and Security, 2009)

Broadcast Encryption for Differently Privileged. - Hongxia Jin; Jeffery Lotspiech (SEC, 2009)

Efficient Traitor Tracing for Content Protection. - Hongxia Jin (SECRYPT, 2009)

Efficient Forensic Analysis for Anonymous Attack in Secure Content Distribution. - Hongxia Jin (Int. J. Digit. Crime Forensics, 2009)

Exploring online social activities for adaptive search personalization. - Qihua Wang; Hongxia Jin (CIKM, 2010)

Collaboration analytics: mining work patterns from collaboration activities. - Qihua Wang; Hongxia Jin; Yan Liu 002 (CIKM, 2010)

SCOTT: set cover tracing technology. - Dulce B. Ponceleon; Jeff Lostpiech; Hongxia Jin; Eric Wilcox (ACM Multimedia, 2010)

A Metric-Based Scheme for Evaluating Tamper Resistant Software Systems. - Gideon Myles; Hongxia Jin (SEC, 2010)

Defending against the pirate evolution attack. - Hongxia Jin; Jeffrey B. Lotspiech; Serdar Pehlivanoglu (Int. J. Appl. Cryptogr., 2010)

Content usage tracking in superdistribution. - Di Ma 001; Hongxia Jin (CCNC, 2011)

Quantified risk-adaptive access control for patient privacy protection in health information systems. - Qihua Wang; Hongxia Jin (AsiaCCS, 2011)

Decision Support for Patient Consent Management. - Qihua Wang; Hongxia Jin (HISB, 2011)

Efficient traitor tracing for clone attack in content protection. - Hongxia Jin; Jeffrey B. Lotspiech (SAC, 2011)

Data leakage mitigation for discretionary access control in collaboration clouds. - Qihua Wang; Hongxia Jin (SACMAT, 2011)

Piracy Protection for Streaming Content in Home Networks. - Hongxia Jin; Jeffrey B. Lotspiech (SEC, 2011)

Social Analytics for Personalization in Work Environments. - Qihua Wang; Hongxia Jin (WAIM, 2011)

Content Recommendation for Attention Management in Unified Social Messaging. - Hongxia Jin (AAAI, 2012)

User activity profiling with multi-layer analysis. - Hongxia Jin (CIKM, 2012)

An analytical solution for consent management in patient privacy preservation. - Qihua Wang; Hongxia Jin (IHI, 2012)

Community discovery and profiling with social messages. - Wenjun Zhou 001; Hongxia Jin; Yan Liu 002 (KDD, 2012)

Preference-based location sharing: are more privacy options really better? - Bart P. Knijnenburg; Alfred Kobsa; Hongxia Jin (CHI, 2013)

Track D: Cyber-security ecosystem. - Haldong Xia; Vidyasagar M. Potdar; Hongxia Jin (DEST, 2013)

Counteracting the Negative Effect of Form Auto-completion on the Privacy Calculus. - Bart Piet Knijnenburg; Alfred Kobsa; Hongxia Jin (ICIS, 2013)

Recommendations-based location privacy control. - Hongxia Jin; Gökay Saldamli; Richard Chow; Bart P. Knijnenburg (PerCom Workshops, 2013)

Differential data analysis for recommender systems. - Richard Chow; Hongxia Jin; Bart P. Knijnenburg; Gökay Saldamli (RecSys, 2013)

Private proximity testing with an untrusted server. - Gökay Saldamli; Richard Chow; Hongxia Jin; Bart P. Knijnenburg (WISEC, 2013)

Dimensionality of information disclosure behavior. - Bart P. Knijnenburg; Alfred Kobsa; Hongxia Jin (Int. J. Hum. Comput. Stud., 2013)

Controllable Information Sharing for User Accounts Linkage across Multiple Online Social Networks. - Yilin Shen; Hongxia Jin (CIKM, 2014)

Connect the dots by understanding user status and transitions. - Xuan Bao; Yilin Shen; Neil Zhenqiang Gong; Hongxia Jin; Bing Hu 001 (UbiComp Adjunct, 2014)

Privacy-Preserving Personalized Recommendation: An Instance-Based Approach via Differential Privacy. - Yilin Shen; Hongxia Jin (ICDM, 2014)

Location sharing privacy preference: analysis and personalized recommendation. - Jierui Xie; Bart P. Knijnenburg; Hongxia Jin (IUI, 2014)

User Comment Analysis for Android apps and CSPI Detection with Comment Expansion. - Lei Cen; Luo Si; Ninghui Li; Hongxia Jin (PIR@SIGIR, 2014)

Privacy Concerns in Online Recommender Systems: Influences of Control and User Data Input. - Bo Zhang; Na Wang; Hongxia Jin (SOUPS, 2014)

Defending against user identity linkage attack across multiple online social networks. - Yilin Shen; Fengjiao Wang; Hongxia Jin (WWW (Companion Volume), 2014)

AUTOREB: Automatically Understanding the Review-to-Behavior Fidelity in Android Applications. - Deguang Kong; Lei Cen; Hongxia Jin (CCS, 2015)

Albatross: A Privacy-Preserving Location Sharing System. - Gökay Saldamli; Richard Chow; Hongxia Jin (AsiaCCS, 2015)

Private Analysis of Infinite Data Streams via Retroactive Grouping. - Rui Chen 012; Yilin Shen; Hongxia Jin (CIKM, 2015)

Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework. - Bing Hu 001; Bin Liu 045; Neil Zhenqiang Gong; Deguang Kong; Hongxia Jin (CIKM, 2015)

PinPlace: associate semantic meanings with indoor locations without active fingerprinting. - Xuan Bao; Bin Liu 004; Bo Tang; Bing Hu 001; Deguang Kong; Hongxia Jin (UbiComp, 2015)

On Privacy Preserving Partial Image Sharing. - Jianping He 004; Bin Liu 004; Xuan Bao; Hongxia Jin; George Kesidis (ICDCS, 2015)

Predicting Privacy Behavior on Online Social Networks. - Cailing Dong 002; Hongxia Jin; Bart P. Knijnenburg (ICWSM, 2015)

Investigating Effects of Control and Ads Awareness on Android Users' Privacy Behaviors and Perceptions. - Na Wang; Bo Zhang; Bin Liu 004; Hongxia Jin (MobileHCI, 2015)

Efficient Privilege De-Escalation for Ad Libraries in Mobile Apps. - Bin Liu 004; Bin Liu 017; Hongxia Jin; Ramesh Govindan (MobiSys, 2015)

Mobile App Security Risk Assessment: A Crowdsourcing Ranking Approach from User Comments. - Lei Cen; Deguang Kong; Hongxia Jin; Luo Si (SDM, 2015)

Towards Permission Request Prediction on Mobile Apps via Structure Feature Learning. - Deguang Kong; Hongxia Jin (SDM, 2015)

Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference. - Bin Liu 045; Deguang Kong; Lei Cen; Neil Zhenqiang Gong; Hongxia Jin; Hui Xiong 001 (WSDM, 2015)

A Practical Framework for Privacy-Preserving Data Analytics. - Liyue Fan; Hongxia Jin (WWW, 2015)

Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features. - Lam Tran; Deguang Kong; Hongxia Jin; Ji Liu 002 (AAAI, 2016)

EpicRec: Towards Practical Differentially Private Framework for Personalized Recommendation. - Yilin Shen; Hongxia Jin (CCS, 2016)

Differentially Private K-Means Clustering. - Dong Su; Jianneng Cao; Ninghui Li; Elisa Bertino; Hongxia Jin (CODASPY, 2016)

PUPPIES: Transformation-Supported Personalized Privacy Preserving Partial Image Sharing. - Jianping He 004; Bin Liu 004; Deguang Kong; Xuan Bao; Na Wang; Hongxia Jin; George Kesidis (DSN, 2016)

Private spatial data aggregation in the local setting. - Rui Chen 012; Haoran Li; A. Kai Qin; Shiva Prasad Kasiviswanathan; Hongxia Jin (ICDE, 2016)

Efficient Private Empirical Risk Minimization for High-dimensional Learning. - Shiva Prasad Kasiviswanathan; Hongxia Jin (ICML, 2016)

Context Matters?: How Adding the Obfuscation Option Affects End Users' Data Disclosure Decisions. - Jing Wang; Na Wang; Hongxia Jin (IUI, 2016)

Differentially Private User Data Perturbation with Multi-level Privacy Controls. - Yilin Shen; Rui Chen; Hongxia Jin (ECML/PKDD (2), 2016)

I2Rec: An Iterative and Interactive Recommendation System for Event-Based Social Networks. - Cailing Dong 002; Yilin Shen; Bin Zhou 002; Hongxia Jin (SBP-BRiMS, 2016)

PPM: A Privacy Prediction Model for Online Social Networks. - Cailing Dong 002; Hongxia Jin; Bart P. Knijnenburg (SocInfo (2), 2016)

An Information-Theoretic Approach to Individual Sequential Data Sanitization. - Luca Bonomi; Liyue Fan; Hongxia Jin (WSDM, 2016)

DPHMM: Customizable Data Release with Differential Privacy via Hidden Markov Model. - Yonghui Xiao; Yilin Shen; Jinfei Liu; Li Xiong 001; Hongxia Jin; Xiaofeng Xu (CoRR, 2016)

One-shot learning for fine-grained relation extraction via convolutional siamese neural network. - Jianbo Yuan; Han Guo; Zhiwei Jin; Hongxia Jin; Xianchao Zhang 001; Jiebo Luo 001 (IEEE BigData, 2017)

PIANO: Proximity-Based User Authentication on Voice-Powered Internet-of-Things Devices. - Neil Zhenqiang Gong; Altay Ozen; Yu Wu; Xiaoyu Cao; Richard Shin; Dawn Song; Hongxia Jin; Xuan Bao (ICDCS, 2017)

Searching Time Series with Invariance to Large Amounts of Uniform Scaling. - Yilin Shen; Yanping Chen 005; Eamonn J. Keogh; Hongxia Jin (ICDE, 2017)

Disguise Adversarial Networks for Click-through Rate Prediction. - Yue Deng 001; Yilin Shen; Hongxia Jin (IJCAI, 2017)

Private Incremental Regression. - Shiva Prasad Kasiviswanathan; Kobbi Nissim; Hongxia Jin (PODS, 2017)

Secure Pick Up: Implicit Authentication When You Start Using the Smartphone. - Wei-Han Lee; Xiaochen Liu; Yilin Shen; Hongxia Jin; Ruby B. Lee (SACMAT, 2017)

PCASA: Proximity Based Continuous and Secure Authentication of Personal Devices. - Pengfei Hu 001; Parth H. Pathak; Yilin Shen; Hongxia Jin; Prasant Mohapatra (SECON, 2017)

Deep Neural Network Approximation using Tensor Sketching. - Shiva Prasad Kasiviswanathan; Nina Narodytska; Hongxia Jin (CoRR, 2017)

Generalizing DTW to the multi-dimensional case requires an adaptive approach. - Mohammad Shokoohi-Yekta; Bing Hu 001; Hongxia Jin; Jun Wang 037; Eamonn J. Keogh (Data Min. Knowl. Discov., 2017)

Differentially Private K-Means Clustering and a Hybrid Approach to Private Optimization. - Dong Su; Jianneng Cao; Ninghui Li; Elisa Bertino; Min Lyu; Hongxia Jin (ACM Trans. Priv. Secur., 2017)

CRUISE: Cold-Start New Skill Development via Iterative Utterance Generation. - Yilin Shen; Avik Ray; Abhishek Patel; Hongxia Jin (ACL (4), 2018)

A Boosting-based Deep Neural Networks Algorithm for Reinforcement Learning. - Yu Wang 091; Hongxia Jin (ACC, 2018)

A New Concept of Deep Reinforcement Learning based Augmented General Tagging System. - Yu Wang 091; Abhishek Patel; Hongxia Jin (COLING, 2018)

A Neural Transition-based Model for Nested Mention Recognition. - Bailin Wang; Wei Lu 011; Yu Wang 091; Hongxia Jin (EMNLP, 2018)

Adversarial Active Learning for Sequences Labeling and Generation. - Yue Deng 001; KaWai Chen; Yilin Shen; Hongxia Jin (IJCAI, 2018)

Network Approximation using Tensor Sketching. - Shiva Prasad Kasiviswanathan; Nina Narodytska; Hongxia Jin (IJCAI, 2018)

Learning Out-of-Vocabulary Words in Intelligent Personal Agents. - Avik Ray; Yilin Shen; Hongxia Jin (IJCAI, 2018)

Training Recurrent Neural Network through Moment Matching for NLP Applications. - Yue Deng 001; Yilin Shen; KaWai Chen; Hongxia Jin (INTERSPEECH, 2018)

Robust Spoken Language Understanding via Paraphrasing. - Avik Ray; Yilin Shen; Hongxia Jin (INTERSPEECH, 2018)

User Information Augmented Semantic Frame Parsing Using Progressive Neural Networks. - Yilin Shen; Xiangyu Zeng 003; Yu Wang 091; Hongxia Jin (INTERSPEECH, 2018)

A Deep Reinforcement Learning Based Multimodal Coaching Model (DCM) for Slot Filling in Spoken Language Understanding(SLU). - Yu Wang 091; Abhishek Patel; Yilin Shen; Hongxia Jin (INTERSPEECH, 2018)

A Bi-Model Based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling. - Yu Wang 091; Yilin Shen; Hongxia Jin (NAACL-HLT (2), 2018)

Interactive recommendation via deep neural memory augmented contextual bandits. - Yilin Shen; Yue Deng 001; Avik Ray; Hongxia Jin (RecSys, 2018)

Accelerating Time Series Searching with Large Uniform Scaling. - Yilin Shen; Yanping Chen 005; Eamonn J. Keogh; Hongxia Jin (SDM, 2018)

User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks. - Yilin Shen; Xiangyu Zeng 003; Yu Wang 091; Hongxia Jin (CoRR, 2018)

A New Concept of Deep Reinforcement Learning based Augmented General Sequence Tagging System. - Yu Wang 091; Abhishek Patel; Hongxia Jin (CoRR, 2018)

RuleSelector: Selecting Conditional Action Rules from User Behavior Patterns. - Vijay Srinivasan; Christian Koehler 002; Hongxia Jin (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System. - Yu Wang 091; Hongxia Jin (AAAI, 2019)

Fast Domain Adaptation of Semantic Parsers via Paraphrase Attention. - Avik Ray; Yilin Shen; Hongxia Jin (DeepLo@EMNLP-IJCNLP, 2019)

A New Concept of Convex based Multiple Neural Networks Structure. - Yu Wang 091; Yue Deng 001; Yilin Shen; Hongxia Jin (AAMAS, 2019)

A Progressive Model to Enable Continual Learning for Semantic Slot Filling. - Yilin Shen; Xiangyu Zeng 003; Hongxia Jin (EMNLP/IJCNLP (1), 2019)

Adversarial Multi-label Prediction for Spoken and Visual Signal Tagging. - Yue Deng 001; KaWai Chen; Yilin Shen; Hongxia Jin (ICASSP, 2019)

SLiQA-I: Towards Cold-start Development of End-to-end Spoken Language Interface for Question Answering. - Yilin Shen; Yu Wang 091; Abhishek Patel; Hongxia Jin (ICASSP, 2019)

Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded. - Ramprasaath Ramasamy Selvaraju; Stefan Lee; Yilin Shen; Hongxia Jin; Shalini Ghosh; Larry P. Heck; Dhruv Batra; Devi Parikh (ICCV, 2019)

Learning Assistance from an Adversarial Critic for Multi-Outputs Prediction. - Yue Deng 001; Yilin Shen; Hongxia Jin (IJCAI, 2019)

Rare Sound Event Detection Using Deep Learning and Data Augmentation. - Yanping Chen 005; Hongxia Jin (INTERSPEECH, 2019)

Iterative Delexicalization for Improved Spoken Language Understanding. - Avik Ray; Yilin Shen; Hongxia Jin (INTERSPEECH, 2019)

Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance. - Yilin Shen; Wenhu Chen; Hongxia Jin (INTERSPEECH, 2019)

A Visual Dialog Augmented Interactive Recommender System. - Tong Yu 001; Yilin Shen; Hongxia Jin (KDD, 2019)

Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning. - Tong Yu 001; Yilin Shen; Ruiyi Zhang 002; Xiangyu Zeng 003; Hongxia Jin (ACM Multimedia, 2019)

Teach Once and Use Everywhere - Building AI Assistant Eco-Skills via User Instruction and Demonstration. - Yilin Shen; Sandeep Nama; Hongxia Jin (MobiSys, 2019)

SkillBot: Towards Automatic Skill Development via User Demonstration. - Yilin Shen; Avik Ray; Hongxia Jin; Sandeep Nama (NAACL-HLT (Demonstrations), 2019)

Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning. - Ruiyi Zhang 002; Tong Yu 001; Yilin Shen; Hongxia Jin; Changyou Chen (NeurIPS, 2019)

Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded. - Ramprasaath R. Selvaraju; Stefan Lee; Yilin Shen; Hongxia Jin; Dhruv Batra; Devi Parikh (CoRR, 2019)

Beyond word embeddings: learning entity and concept representations from large scale knowledge bases. - Walid Shalaby; Wlodek Zadrozny; Hongxia Jin (Inf. Retr. J., 2019)

Towards Hands-Free Visual Dialog Interactive Recommendation. - Tong Yu 001; Yilin Shen; Hongxia Jin (AAAI, 2020)

An Interpretable Multimodal Visual Question Answering System using Attention-based Weighted Contextual Features. - Yu Wang 091; Yilin Shen; Hongxia Jin (AAMAS, 2020)

Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data. - Yen-Chang Hsu; Yilin Shen; Hongxia Jin; Zsolt Kira (CVPR, 2020)

MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis. - Shuchen Weng; Wenbo Li 001; Dawei Li 006; Hongxia Jin; Boxin Shi (CVPR, 2020)

Conditional Image Repainting via Semantic Bridge and Piecewise Value Function. - Shuchen Weng; Wenbo Li 001; Dawei Li 006; Hongxia Jin; Boxin Shi (ECCV (9), 2020)

Generating Dialogue Responses from a Semantic Latent Space. - Wei-Jen Ko; Avik Ray; Yilin Shen; Hongxia Jin (EMNLP (1), 2020)

PGLP: Customizable and Rigorous Location Privacy Through Policy Graph. - Yang Cao 011; Yonghui Xiao; Shun Takagi; Li Xiong 001; Masatoshi Yoshikawa; Yilin Shen; Jinfei Liu; Hongxia Jin; Xiaofeng Xu (ESORICS (1), 2020)

A BI-Model Approach for Handling Unknown Slot Values in Dialogue State Tracking. - Yu Wang 091; Yilin Shen; Hongxia Jin (ICASSP, 2020)

An Interactive Adversarial Reward Learning-Based Spoken Language Understanding System. - Yu Wang 091; Yilin Shen; Hongxia Jin (INTERSPEECH, 2020)

Explainable and Efficient Sequential Correlation Network for 3D Single Person Concurrent Activity Detection. - Yi Wei 006; Wenbo Li 001; Ming-Ching Chang; Hongxia Jin; Siwei Lyu (IROS, 2020)

Activity Recommendation: Optimizing Life in the Long Term. - Julian A. Ramos Rojas; Johana Rosas; Yilin Shen; Hongxia Jin; Anind K. Dey (PerCom, 2020)

Customizable and Rigorous Location Privacy through Policy Graph. - Yang Cao 011; Yonghui Xiao; Shun Takagi; Li Xiong 001; Masatoshi Yoshikawa; Yilin Shen; Jinfei Liu; Hongxia Jin; Xiaofeng Xu (CoRR, 2020)

Reward Constrained Interactive Recommendation with Natural Language Feedback. - Ruiyi Zhang 002; Tong Yu 001; Yilin Shen; Hongxia Jin; Changyou Chen; Lawrence Carin (CoRR, 2020)

A Complex KBQA System using Multiple Reasoning Paths. - Kechen Qin; Yu Wang 091; Cheng Li; Kalpa Gunaratna; Hongxia Jin; Virgil Pavlu; Javed A. Aslam (CoRR, 2020)

Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN. - Yilin Shen; Wenhu Chen; Hongxia Jin (CoRR, 2020)

Constructing biomedical domain-specific knowledge graph with minimum supervision. - Jianbo Yuan; Zhiwei Jin; Han Guo; Hongxia Jin; Xianchao Zhang 001; Tristram H. Smith; Jiebo Luo 001 (Knowl. Inf. Syst., 2020)

A New Concept of Multiple Neural Networks Structure Using Convex Combination. - Yu Wang 091; Yue Deng 001; Yilin Shen; Hongxia Jin (IEEE Trans. Neural Networks Learn. Syst., 2020)

Enhancing the generalization for Intent Classification and Out-of-Domain Detection in SLU. - Yilin Shen; Yen-Chang Hsu; Avik Ray; Hongxia Jin (ACL/IJCNLP (1), 2021)

Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones. - Kalpa Gunaratna; Vijay Srinivasan; Sandeep Nama; Hongxia Jin (CIKM, 2021)

Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase. - Akhila Yerukola; Mason Bretan; Hongxia Jin (EACL, 2021)

Multi-Step Spoken Language Understanding System Based on Adversarial Learning. - Yu Wang 091; Yilin Shen; Hongxia Jin (ICASSP, 2021)

An End-To-End Actor-Critic-Based Neural Coreference Resolution System. - Yu Wang 091; Yilin Shen; Hongxia Jin (ICASSP, 2021)

Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. - James Seale Smith; Yen-Chang Hsu; Jonathan Balloch; Yilin Shen; Hongxia Jin; Zsolt Kira (ICCV, 2021)

SAFENet: A Secure, Accurate and Fast Neural Network Inference. - Qian Lou; Yilin Shen; Hongxia Jin; Lei Jiang 001 (ICLR, 2021)

Negative Data Augmentation. - Abhishek Sinha; Kumar Ayush; Jiaming Song; Burak Uzkent; Hongxia Jin; Stefano Ermon (ICLR, 2021)

Automatic Mixed-Precision Quantization Search of BERT. - Changsheng Zhao 002; Ting Hua; Yilin Shen; Qian Lou; Hongxia Jin (IJCAI, 2021)

Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. - Ting Hua; Yilin Shen; Changsheng Zhao 002; Yen-Chang Hsu; Hongxia Jin (NAACL-HLT, 2021)

Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web. - Kalpa Gunaratna; Yu Wang 091; Hongxia Jin (CoRR, 2021)

A Coarse to Fine Question Answering System based on Reinforcement Learning. - Yu Wang 091; Hongxia Jin (CoRR, 2021)

An Adversarial Learning based Multi-Step Spoken Language Understanding System through Human-Computer Interaction. - Yu Wang 091; Yilin Shen; Hongxia Jin (CoRR, 2021)

Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data. - Junjiao Tian; Yen-Chang Hsu; Yilin Shen; Hongxia Jin; Zsolt Kira (CoRR, 2021)

ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs. - Manas Gaur; Kalpa Gunaratna; Vijay Srinivasan; Hongxia Jin (AAAI, 2022)

Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations. - Zhan Shi; Yilin Shen; Hongxia Jin; Xiaodan Zhu 001 (AAAI, 2022)

Text-Based Interactive Recommendation via Offline Reinforcement Learning. - Ruiyi Zhang 002; Tong Yu 001; Yilin Shen; Hongxia Jin (AAAI, 2022)

Foreground-Specialized Model Imitation for Instance Segmentation. - Dawei Li 006; Wenbo Li 001; Hongxia Jin (ACCV (7), 2022)

Dual-lens Reference Image Super-Resolution. - Jing Zhu; Wenbo Li 001; Hongxia Jin (BMVC, 2022)

Lite-MDETR: A Lightweight Multi-Modal Detector. - Qian Lou; Yen-Chang Hsu; Burak Uzkent; Ting Hua; Yilin Shen; Hongxia Jin (CVPR, 2022)

Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling. - Kalpa Gunaratna; Vijay Srinivasan; Akhila Yerukola; Hongxia Jin (EMNLP (Findings), 2022)

Numerical Optimizations for Weighted Low-rank Estimation on Language Models. - Ting Hua; Yen-Chang Hsu; Felicity Wang; Qian Lou; Yilin Shen; Hongxia Jin (EMNLP, 2022)

A Robust Semantic Frame Parsing Pipeline on a New Complex Twitter Dataset. - Yu Wang 091; Vijay Srinivasan; Hongxia Jin (ICKG, 2022)

A New Design of VQA System based on Weighted Contextual Features. - Yu Wang 091; Vijay Srinivasan; Hongxia Jin (ICKG, 2022)

Language model compression with weighted low-rank factorization. - Yen-Chang Hsu; Ting Hua; Sungen Chang; Qian Lou; Yilin Shen; Hongxia Jin (ICLR, 2022)

DictFormer: Tiny Transformer with Shared Dictionary. - Qian Lou; Ting Hua; Yen-Chang Hsu; Yilin Shen; Hongxia Jin (ICLR, 2022)

A New Concept of Knowledge based Question Answering (KBQA) System for Multi-hop Reasoning. - Yu Wang 091; Vijay Srinivasan; Hongxia Jin (NAACL-HLT, 2022)

MGA-VQA: Multi-Granularity Alignment for Visual Question Answering. - Peixi Xiong; Yilin Shen; Hongxia Jin (CoRR, 2022)

A Closer Look at Knowledge Distillation with Features, Logits, and Gradients. - Yen-Chang Hsu; James Seale Smith; Yilin Shen; Zsolt Kira; Hongxia Jin (CoRR, 2022)

Numerical Optimizations for Weighted Low-rank Estimation on Language Model. - Ting Hua; Yen-Chang Hsu; Felicity Wang; Qian Lou; Yilin Shen; Hongxia Jin (CoRR, 2022)

A Robust Semantic Frame Parsing Pipeline on a New Complex Twitter Dataset. - Yu Wang 091; Hongxia Jin (CoRR, 2022)

Neural Coreference Resolution based on Reinforcement Learning. - Yu Wang 091; Hongxia Jin (CoRR, 2022)

Hybrid Rule-Neural Coreference Resolution System based on Actor-Critic Learning. - Yu Wang 091; Hongxia Jin (CoRR, 2022)

GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer. - Miao Yin; Burak Uzkent; Yilin Shen; Hongxia Jin; Bo Yuan 001 (AAAI, 2023)

One-stage Progressive Dichotomous Segmentation. - Jing Zhu; Karim Ahmed; Wenbo Li 001; Yilin Shen; Hongxia Jin (BMVC, 2023)

Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond. - Kalpa Gunaratna; Vijay Srinivasan; Hongxia Jin (CIKM, 2023)

Dynamic Low-rank Estimation for Transformer-based Language Models. - Ting Hua; Xiao Li; Shangqian Gao; Yen-Chang Hsu; Yilin Shen; Hongxia Jin (EMNLP (Findings), 2023)

Improved Mask-Based Neural Beamforming for Multichannel Speech Enhancement by Snapshot Matching Masking. - Ching Hua Lee; Chouchang Yang; Yilin Shen; Hongxia Jin (ICASSP, 2023)

To Wake-Up or Not to Wake-Up: Reducing Keyword False Alarm by Successive Refinement. - Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Ching Hua Lee; Chouchang Yang; Yilin Shen; Hongxia Jin (ICASSP, 2023)

Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models. - Shangqian Gao; Burak Uzkent; Yilin Shen; Heng Huang; Hongxia Jin (ICLR, 2023)

ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation. - Kaiwen Zhou; Kaizhi Zheng; Connor Pryor; Yilin Shen; Hongxia Jin; Lise Getoor; Xin Eric Wang (ICML, 2023)

Compositional Generalization in Spoken Language Understanding. - Avik Ray; Yilin Shen; Hongxia Jin (INTERSPEECH, 2023)

Robust Keyword Spotting for Noisy Environments by Leveraging Speech Enhancement and Speech Presence Probability. - Chouchang Yang; Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Ching Hua Lee; Yilin Shen; Hongxia Jin (INTERSPEECH, 2023)

CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss. - Rakshith Sharma Srinivasa; Jaejin Cho; Chouchang Yang; Yashas Malur Saidutta; Ching Hua Lee; Yilin Shen; Hongxia Jin (NeurIPS, 2023)

Virtual Prompt Injection for Instruction-Tuned Large Language Models. - Jun Yan; Vikas Yadav; Shiyang Li; Lichang Chen; Zheng Tang; Hai Wang; Vijay Srinivasan; Xiang Ren; Hongxia Jin (CoRR, 2023)

Prompt Tuning for Zero-shot Compositional Learning. - Lingyu Zhang; Ting Hua; Yilin Shen; Hongxia Jin (CoRR, 2023)

Explicit over Implict: Explicit Diversity Conditions for Effective Question Answer Generation. - Vikas Yadav; Hyuk Joon Kwon; Vijay Srinivasan; Hongxia Jin (LREC/COLING, 2024)

Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters. - James Seale Smith; Yen-Chang Hsu; Zsolt Kira; Yilin Shen; Hongxia Jin (CVPR Workshops, 2024)

Unified Srgb Real Noise Synthesizing with Adaptive Feature Modulation. - Wenbo Li 001; Zhipeng Mo; Yilin Shen; Hongxia Jin (ICASSP, 2024)

End-To-End Personalized Cuff-Less Blood Pressure Monitoring Using ECG and PPG Signals. - Suhas BN; Rakshith Sharma Srinivasa; Yashas Malur Saidutta; Jaejin Cho; Ching Hua Lee; Chouchang Yang; Yilin Shen; Hongxia Jin (ICASSP, 2024)

Zero-Shot Intent Classification Using a Semantic Similarity Aware Contrastive Loss and Large Language Model. - Jaejin Cho; Rakshith Sharma Srinivasa; Ching Hua Lee; Yashas Malur Saidutta; Chouchang Yang; Yilin Shen; Hongxia Jin (ICASSP, 2024)

An MVDR-Embedded U-Net Beamformer for Effective and Robust Multichannel Speech Enhancement. - Ching Hua Lee; Kashyap Patel; Chouchang Yang; Yilin Shen; Hongxia Jin (ICASSP, 2024)

Leveraging Self-Supervised Speech Representations for Domain Adaptation in Speech Enhancement. - Ching Hua Lee; Chouchang Yang; Rakshith Sharma Srinivasa; Yashas Malur Saidutta; Jaejin Cho; Yilin Shen; Hongxia Jin (ICASSP, 2024)

Enabling Device Control Planning Capabilities of Small Language Model. - Sudipta Paul 011; Lingyu Zhang; Yilin Shen; Hongxia Jin (ICASSP, 2024)

AlpaGasus: Training a Better Alpaca with Fewer Data. - Lichang Chen; Shiyang Li; Jun Yan; Hai Wang; Kalpa Gunaratna; Vikas Yadav; Zheng Tang; Vijay Srinivasan; Tianyi Zhou 001; Heng Huang; Hongxia Jin (ICLR, 2024)

Adaptive Rank Selections for Low-Rank Approximation of Language Models. - Shangqian Gao; Ting Hua; Yen-Chang Hsu; Yilin Shen; Hongxia Jin (NAACL-HLT, 2024)

Instruction-following Evaluation through Verbalizer Manipulation. - Shiyang Li; Jun Yan; Hai Wang; Zheng Tang; Xiang Ren; Vijay Srinivasan; Hongxia Jin (NAACL-HLT (Findings), 2024)

SLiM: Speculative Decoding with Hypothesis Reduction. - Chi-Heng Lin; Shikhar Tuli; James Seale Smith; Yen-Chang Hsu; Yilin Shen; Hongxia Jin (NAACL-HLT (Findings), 2024)

DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling. - Shikhar Tuli; Chi-Heng Lin; Yen-Chang Hsu; Niraj K. Jha; Yilin Shen; Hongxia Jin (NAACL-HLT, 2024)

Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection. - Jun Yan; Vikas Yadav; Shiyang Li; Lichang Chen; Zheng Tang; Hai Wang; Vijay Srinivasan; Xiang Ren; Hongxia Jin (NAACL-HLT, 2024)

DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models. - Shangqian Gao; Chi-Heng Lin; Ting Hua; Zheng Tang; Yilin Shen; Hongxia Jin; Yen-Chang Hsu (NeurIPS, 2024)

Unleashing Multispectral Video's Potential in Semantic Segmentation: A Semi-supervised Viewpoint and New UAV-View Benchmark. - Wei Ji 011; Jingjing Li; Wenbo Li 001; Yilin Shen; Li Cheng 001; Hongxia Jin (NeurIPS, 2024)

CIFD: Controlled Information Flow to Enhance Knowledge Distillation. - Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Jaejin Cho; Ching Hua Lee; Chouchang Yang; Yilin Shen; Hongxia Jin (NeurIPS, 2024)

Token Fusion: Bridging the Gap between Token Pruning and Token Merging. - Minchul Kim; Shangqian Gao; Yen-Chang Hsu; Yilin Shen; Hongxia Jin (WACV, 2024)

Efficient Layout-Guided Image Inpainting for Mobile Use. - Wenbo Li 001; Yi Wei 006; Yilin Shen; Hongxia Jin (WACV, 2024)

Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models. - Vikas Yadav; Hyuk Joon Kwon; Vijay Srinivasan; Hongxia Jin (CoRR, 2024)

DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models. - Shangqian Gao; Chi-Heng Lin; Ting Hua; Tang Zheng; Yilin Shen; Hongxia Jin; Yen-Chang Hsu (CoRR, 2024)

Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA. - James Seale Smith; Yen-Chang Hsu; Lingyu Zhang; Ting Hua; Zsolt Kira; Yilin Shen; Hongxia Jin (Trans. Mach. Learn. Res., 2024)

Better Exploiting Spatial Separability in Multichannel Speech Enhancement with an Align-and-Filter Network. - Ching Hua Lee; Chouchang Yang; Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Yilin Shen; Hongxia Jin (ICASSP, 2025)

MIB: Mixed Information Bottleneck for Out-of-Distribution Keyword Spotting. - Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Jaejin Cho; Ching Hua Lee; Chouchang Yang; Yilin Shen; Hongxia Jin (ICASSP, 2025)

MoDeGPT: Modular Decomposition for Large Language Model Compression. - Chi-Heng Lin; Shangqian Gao; James Seale Smith; Abhishek Patel; Shikhar Tuli; Yilin Shen; Hongxia Jin; Yen-Chang Hsu (ICLR, 2025)

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing. - James Seale Smith; Chi-Heng Lin; Shikhar Tuli; Haris Jeelani; Shangqian Gao; Yilin Shen; Hongxia Jin; Yen-Chang Hsu (NAACL (Long Papers), 2025)

Dynamic Noise Preference Optimization for LLM Self-Improvement via Synthetic Data. - Haoyan Yang; Ting Hua; Shangqian Gao; Binfeng Xu; Zheng Tang; Jie Xu; Hongxia Jin; Vijay Srinivasan (CoRR, 2025)

RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior. - Ching Hua Lee; Chouchang Yang; Jaejin Cho; Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Yilin Shen; Hongxia Jin (CoRR, 2025)

SimuRA: Towards General Goal-Oriented Agent via Simulative Reasoning Architecture with LLM-Based World Model. - Mingkai Deng; Jinyu Hou; Yilin Shen; Hongxia Jin; Graham Neubig; Zhiting Hu; Eric P. Xing (CoRR, 2025)