| 2025 | ACL | Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. | Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng |
| 2025 | CGI | Coordinate-Aware Implicit Image Function for Arbitrary-Scale Image Super-Resolution. | Hanying Wang, Da Li, Ling Huang, Zhangqin Huang |
| 2025 | IJCAI | DPMamba: Distillation Prompt Mamba for Multimodal Remote Sensing Image Classification with Missing Modalities. | Yueguang Yang, Jiahui Qu, Ling Huang, Wenqian Dong |
| 2025 | WWW | CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction. | Yingjie Kuang, Tianchen Zhang, Zhen-Wei Huang, Zhongjie Zeng, Zhe-Yuan Li, Ling Huang, Yuefang Gao |
| 2024 | ACCV | Tracking Reflected Objects: A Benchmark. | Xiaoyu Guo, Pengzhi Zhong, Lizhi Lin, Hao Zhang, Ling Huang, Shuiwang Li |
| 2024 | DASFAA | Knowledge-aware Multi-scale Time Series Abnormal Segment Detection. | Zhen-Wei Huang, Yuefang Gao, Ling Huang, Zhongjie Zeng, Jiaquan Chen, Yingjie Kuang |
| 2024 | GPC | Design and Realization of Neural Network-Based Intelligent Control System for Aeronautical Applications. | Yifei Sui, Ling Huang |
| 2023 | LCN | IVAS: An Intelligent Video Analysis System based on Edge Computing. | Huapeng Yang, Zhangqin Huang, Yu Liang, Xiaobo Zhang, Ling Huang, Shen Qiu |
| 2022 | MICCAI | Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation. | Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan |
| 2021 | ICDM | StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation Learning. | Wen-Zhi Li, Ling Huang, Chang-Dong Wang, Yuxin Ye |
| 2021 | ICIP | Joint Anomaly Detection and Inpainting for Microscopy Images Via Deep Self-Supervised Learning. | Ling Huang, Deruo Cheng, Xulei Yang, Tong Lin, Yiqiong Shi, Kaiyi Yang, Bah-Hwee Gwee, Bihan Wen |
| 2021 | IJCNN | Attention-based Multi-proximity Preserved Attributed Network Embedding. | Xing-Xing Liu, Kai Wang, Chang-Dong Wang, Ling Huang |
| 2021 | MICCAI | Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation. | Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan |
| 2021 | PIMRC | Multi-popularity Multi-threshold Grouped Caching for Device-to-Device Communication. | Ling Huang, Kuan Wu, Ming Jiang |
| 2020 | AAAI | Multi-View Clustering in Latent Embedding Space. | Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang |
| 2020 | AAAI | MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection. | Ling Huang, Hong-Yang Chao, Guangqiang Xie |
| 2020 | ADMA | Query-Based Recommendation by HIN Embedding with PRE-LSTM. | Zhuoming Liu, Yu-Miao Hui, Ling Huang |
| 2020 | CHI | FDHelper: Assist Unsupervised Fraud Detection Experts with Interactive Feature Selection and Evaluation. | Jiao Sun, Yin Li, Charley Chen, Jihae Lee, Xin Liu, Zhongping Zhang, Ling Huang, Lei Shi, Wei Xu |
| 2020 | DASFAA | Latent Space Clustering via Dual Discriminator GAN. | Heng-Ping He, Pei-Zhen Li, Ling Huang, Yu-Xuan Ji, Chang-Dong Wang |
| 2020 | MMM | Instance Image Retrieval with Generative Adversarial Training. | Hongkai Li, Cong Bai, Ling Huang, Yu-Gang Jiang, Shengyong Chen |
| 2020 | WWW | Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework. | Han Zhang, Wenhao Zheng, Charley Chen, Kevin Gao, Yao Hu, Ling Huang, Wei Xu |
| 2019 | AAAI | DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. | Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu |
| 2019 | AAAI | Higher-Order Multi-Layer Community Detection. | Ling Huang, Chang-Dong Wang, Hong-Yang Chao |
| 2019 | ACL | DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction. | Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu |
| 2019 | DASFAA | Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-Decomposition Based Discretization. | Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang |
| 2019 | ICDM | Multi-view Outlier Detection in Deep Intact Space. | Yu-Xuan Ji, Ling Huang, Heng-Ping He, Chang-Dong Wang, Guangqiang Xie, Wei Shi, Kun-Yu Lin |
| 2019 | ICDM | Constrained Matrix Factorization for Course Score Prediction. | Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai |
| 2019 | IJCAI | Unsupervised Multi-view Learning. | Ling Huang |
| 2019 | IJCAI | BPAM: Recommendation Based on BP Neural Network with Attention Mechanism. | Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jianhuang Lai |
| 2019 | KDD | EdMot: An Edge Enhancement Approach for Motif-aware Community Detection. | Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai |
| 2019 | WWW | No Place to Hide: Catching Fraudulent Entities in Tensors. | Yikun Ban, Xin Liu, Ling Huang, Yitao Duan, Xue Liu, Wei Xu |
| 2018 | DASFAA | Multi-view Proximity Learning for Clustering. | Kun-Yu Lin, Ling Huang, Chang-Dong Wang, Hong-Yang Chao |
| 2018 | DASFAA | Attributed Network Embedding with Micro-meso Structure. | Juan-Hui Li, Chang-Dong Wang, Ling Huang, Dong Huang, Jian-Huang Lai, Pei Chen |
| 2018 | DASFAA | Low-Rank and Sparse Cross-Domain Recommendation Algorithm. | Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Dong Huang |
| 2018 | ICDM | A Harmonic Motif Modularity Approach for Multi-layer Network Community Detection. | Ling Huang, Chang-Dong Wang, Hong-Yang Chao |
| 2018 | SIGIR | Do Not Pull My Data for Resale: Protecting Data Providers Using Data Retrieval Pattern Analysis. | Guosai Wang, Shiyang Xiang, Yitao Duan, Ling Huang, Wei Xu |
| 2017 | APSEC | Topic Detection from Microblogs Using T-LDA and Perplexity. | Ling Huang, Jinyu Ma, Chunling Chen |
| 2017 | ICONIP | A Hybrid Approach for Recovering Information Propagational Direction. | Xiang-Rui Peng, Ling Huang, Chang-Dong Wang |
| 2017 | ICONIP | Social and Content Based Collaborative Filtering for Point-of-Interest Recommendations. | Yi-Ning Xu, Lei Xu, Ling Huang, Chang-Dong Wang |
| 2017 | ICONIP | Low-Rank and Sparse Matrix Completion for Recommendation. | Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu |
| 2017 | IECON | Guaranteed cost tracking control for uncertain T-S fuzzy systems. | Hengyan Zhang, Ling Huang, Zaide Xu, Cui Mao, Wenbo Xie |
| 2017 | PAKDD | Community Detection in Graph Streams by Pruning Zombie Nodes. | Yue Ding, Ling Huang, Chang-Dong Wang, Dong Huang |
| 2017 | VTC | A Modified Waveform Design for Radar-Communication Integration Based on LFM-CPM. | Yu Zhang, Qingyu Li, Ling Huang, Changyong Pan, Jian Song |
| 2017 | WCNC | Waveform Design for Joint Radar-Communication with Nonideal Power Amplifier and Outband Interference. | Yu Zhang, Qingyu Li, Ling Huang, Keren Dai, Jian Song |
| 2016 | APSCC | Spectrum Allocation Based on Gaussian - Cauchy Mutation Shuffled Frog Leaping Algorithm. | Zhe Qin, Jiaqi Liu, Zhigang Chen, Lin Guo, Ling Huang |
| 2016 | DIMVA | Reviewer Integration and Performance Measurement for Malware Detection. | Brad Miller, Alex Kantchelian, Michael Carl Tschantz, Sadia Afroz, Rekha Bachwani, Riyaz Faizullabhoy, Ling Huang, Vaishaal Shankar, Tony Wu, George Yiu, Anthony D. Joseph, J. D. Tygar |
| 2016 | ICDE | CloudKeyBank: Privacy and owner authorization enforced key management framework. | Xiuxia Tian, Ling Huang, Tony Wu, Xiaoling Wang, Aoying Zhou |
| 2015 | Interspeech | Modified-prior PLDA and score calibration for duration mismatch compensation in speaker recognition system. | Qingyang Hong, Lin Li, Ming Li, Ling Huang, Lihong Wan, Jun Zhang |
| 2014 | CCS | Adversarial Active Learning. | Brad Miller, Alex Kantchelian, Sadia Afroz, Rekha Bachwani, Edwin Dauber, Ling Huang, Michael Carl Tschantz, Anthony D. Joseph, J. Doug Tygar |
| 2014 | ICNC | A neural network based modeling and simulation of bicycle conflict avoidance behaviors at non-signalized intersections. | Ling Huang |
| 2014 | ISCA | Morpheus: benchmarking computational diversity in mobile malware. | Mikhail Kazdagli, Ling Huang, Vijay Janapa Reddi, Mohit Tiwari |
| 2013 | CCS | Approaches to adversarial drift. | Alex Kantchelian, Sadia Afroz, Ling Huang, Aylin Caliskan Islam, Brad Miller, Michael Carl Tschantz, Rachel Greenstadt, Anthony D. Joseph, J. D. Tygar |
| 2013 | USENIX | Mantis: Automatic Performance Prediction for Smartphone Applications. | Yongin Kwon, Sangmin Lee, Hayoon Yi, Donghyun Kwon, Seungjun Yang, Byung-Gon Chun, Ling Huang, Petros Maniatis, Mayur Naik, Yunheung Paek |
| 2012 | CCS | Short paper: smartphones: not smart enough? | Ian Timothy Fischer, Cynthia Kuo, Ling Huang, Mario Frank |
| 2012 | CCS | Robust detection of comment spam using entropy rate. | Alex Kantchelian, Justin Ma, Ling Huang, Sadia Afroz, Anthony D. Joseph, J. D. Tygar |
| 2012 | DIMVA | Juxtapp: A Scalable System for Detecting Code Reuse among Android Applications. | Steve Hanna, Ling Huang, Edward XueJun Wu, Saung Li, Charles Chen, Dawn Song |
| 2012 | IMC | Evolution of social-attribute networks: measurements, modeling, and implications using google+. | Neil Zhenqiang Gong, Wenchang Xu, Ling Huang, Prateek Mittal, Emil Stefanov, Vyas Sekar, Dawn Song |
| 2011 | CCS | Adversarial machine learning. | Ling Huang, Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, J. D. Tygar |
| 2010 | CVPR | Online semi-supervised perception: Real-time learning without explicit feedback. | Branislav Kveton, Matthai Philipose, Michal Valko, Ling Huang |
| 2010 | ICML | An Analysis of the Convergence of Graph Laplacians. | Daniel Ting, Ling Huang, Michael I. Jordan |
| 2010 | ICML | Detecting Large-Scale System Problems by Mining Console Logs. | Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan |
| 2010 | OSDI | Experience Mining Google's Production Console Logs. | Wei Xu, Ling Huang, Michael I. Jordan |
| 2010 | UAI | Online Semi-Supervised Learning on Quantized Graphs. | Michal Valko, Branislav Kveton, Ling Huang, Daniel Ting |
| 2009 | ICDM | Online System Problem Detection by Mining Patterns of Console Logs. | Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan |
| 2009 | IMC | ANTIDOTE: understanding and defending against poisoning of anomaly detectors. | Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Satish Rao, Nina Taft, J. D. Tygar |
| 2009 | KDD | Fast approximate spectral clustering. | Donghui Yan, Ling Huang, Michael I. Jordan |
| 2009 | SIGCOMM | Impact of IT monoculture on behavioral end host intrusion detection. | Dhiman Barman, Jaideep Chandrashekar, Nina Taft, Michalis Faloutsos, Ling Huang, Frdric Giroire |
| 2009 | SOSP | Detecting large-scale system problems by mining console logs. | Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan |
| 2008 | OSDI | Mining Console Logs for Large-Scale System Problem Detection. | Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan |
| 2008 | RAID | Evading Anomaly Detection through Variance Injection Attacks on PCA. | Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Nina Taft, J. Doug Tygar |
| 2007 | ICDCS | Communication-Efficient Tracking of Distributed Cumulative Triggers. | Ling Huang, Minos N. Garofalakis, Anthony D. Joseph, Nina Taft |
| 2007 | INFOCOM | Communication-Efficient Online Detection of Network-Wide Anomalies. | Ling Huang, XuanLong Nguyen, Minos N. Garofalakis, Joseph M. Hellerstein, Michael I. Jordan, Anthony D. Joseph, Nina Taft |
| 2006 | APSCC | ICA/RBF-Based Prediction of Varying Trend in Real Exchange Rate. | Ling Huang, Fenggang Li, Lin Xing |
| 2006 | ISDA | Mixed Backlogging and Outsourcing Models with Nondecreasing Inventory Capacity. | Ling Huang, Jinhong Zhong, Zhiwei Ni, Shanling Yang |
| 2005 | MICCAI | 76-Space Analysis of Grey Matter Diffusivity: Methods and Applications. | Tianming Liu, Geoffrey S. Young, Ling Huang, Nankuei Chen, Stephen T. C. Wong |
| 2003 | ICNP | Exploiting Routing Redundancy via Structured Peer-to-Peer Overlays. | Ben Y. Zhao, Ling Huang, Jeremy Stribling, Anthony D. Joseph, John Kubiatowicz |
| 2003 | Middleware | Approximate Object Location and Spam Filtering on Peer-to-Peer Systems. | Feng Zhou, Li Zhuang, Ben Y. Zhao, Ling Huang, Anthony D. Joseph, John Kubiatowicz |
| 2002 | ICCE | The Information Feedback System of Tsinghua Web-Based School. | Ling Huang, Dongxing Jiang, Nianlong Luo |
| 1999 | ICRA | Force-Responsive Robotic Assembly of Transmission Components. | Wyatt S. Newman, Michael S. Branicky, Andy Podgurski, Siddharth R. Chhatpar, Ling Huang, Jayendran Swaminathan, Hao Zhang |