3D Object Reconstruction from a Single 2D Line Drawing without Hidden Lines. - Liangliang Cao; Jianzhuang Liu; Xiaoou Tang (ICCV, 2005)

Degen Generalized Cylinders and Their Properties. - Liangliang Cao; Jianzhuang Liu; Xiaoou Tang (ECCV (1), 2006)

Automatic Segmentation of Lung Fields from Radiographic Images of SARS Patients Using a New Graph Cuts Algorithm. - Shifeng Chen; Liangliang Cao; Jianzhuang Liu; Xiaoou Tang (ICPR (1), 2006)

3D object retrieval using 2D line drawing and graph based relevance reedback. - Liangliang Cao; Jianzhuang Liu; Xiaoou Tang (ACM Multimedia, 2006)

Iterative MAP and ML Estimations for Image Segmentation. - Shifeng Chen; Liangliang Cao; Jianzhuang Liu; Xiaoou Tang (CVPR, 2007)

Spatially Coherent Latent Topic Model for Concurrent Segmentation and Classification of Objects and Scenes. - Liangliang Cao; Li Fei-Fei 001 (ICCV, 2007)

Multiple feature fusion by subspace learning. - Yun Fu 001; Liangliang Cao; Guodong Guo; Thomas S. Huang (CIVR, 2008)

Annotating collections of photos using hierarchical event and scene models. - Liangliang Cao; Jiebo Luo 001; Henry A. Kautz; Thomas S. Huang (CVPR, 2008)

Gender recognition from body. - Liangliang Cao; Mert Dikmen; Yun Fu 001; Thomas S. Huang (ACM Multimedia, 2008)

Annotating photo collections by label propagation according to multiple similarity cues. - Liangliang Cao; Jiebo Luo 001; Thomas S. Huang (ACM Multimedia, 2008)

Image annotation using personal calendars as context. - Andrew C. Gallagher; Carman Neustaedter; Liangliang Cao; Jiebo Luo 001; Tsuhan Chen (ACM Multimedia, 2008)

Surveillance Event Detection. - Mert Dikmen; Huazhong Ning; Dennis J. Lin; Liangliang Cao; Vuong Le; Shen-Fu Tsai; Kai-Hsiang Lin; Zhen Li 028; Jianchao Yang; Thomas S. Huang; Fengjun Lv; Wei Xu 007; et al. (TRECVID, 2008)

What the Back of the Object Looks Like: 3D Reconstruction from Line Drawings without Hidden Lines. - Liangliang Cao; Jianzhuang Liu; Xiaoou Tang (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Plane-Based Optimization for 3D Object Reconstruction from Single Line Drawings. - Jianzhuang Liu; Liangliang Cao; Zhenguo Li; Xiaoou Tang (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Heterogeneous feature machines for visual recognition. - Liangliang Cao; Jiebo Luo 001; Feng Liang 002; Thomas S. Huang (ICCV, 2009)

Action detection in complex scenes with spatial and temporal ambiguities. - Yuxiao Hu 001; Liangliang Cao; Fengjun Lv; Shuicheng Yan; Yihong Gong; Thomas S. Huang (ICCV, 2009)

Enhancing semantic and geographic annotation of web images via logistic canonical correlation regression. - Liangliang Cao; Jie Yu 001; Jiebo Luo 001; Thomas S. Huang (ACM Multimedia, 2009)

GAD: General Activity Detection for Fast Clustering on Large Data. - Xin Jin 001; Sangkyum Kim; Jiawei Han 001; Liangliang Cao; Zhijun Yin (SDM, 2009)

Responses to the Comments on "What the Back of the Object Looks Like: 3D Reconstruction from Line Drawings without Hidden Lines". - Liangliang Cao; Jianzhuang Liu; Xiaoou Tang (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Responses to the Comments on "Plane-Based Optimization for 3D Object Reconstruction from Single Line Drawings". - Jianzhuang Liu; Liangliang Cao; Zhenguo Li; Xiaoou Tang (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Image Annotation Within the Context of Personal Photo Collections Using Hierarchical Event and Scene Models. - Liangliang Cao; Jiebo Luo 001; Henry A. Kautz; Thomas S. Huang (IEEE Trans. Multim., 2009)

Visual cube and on-line analytical processing of images. - Xin Jin 001; Jiawei Han 001; Liangliang Cao; Jiebo Luo 001; Bolin Ding; Cindy Xide Lin (CIKM, 2010)

Cross-dataset action detection. - Liangliang Cao; Zicheng Liu 001; Thomas S. Huang (CVPR, 2010)

A worldwide tourism recommendation system based on geotaggedweb photos. - Liangliang Cao; Jiebo Luo 001; Andrew C. Gallagher; Xin Jin 001; Jiawei Han 001; Thomas S. Huang (ICASSP, 2010)

Accurate and efficient reconstruction of 3D faces from stereo images. - Vuong Le; Hao Tang 001; Liangliang Cao; Thomas S. Huang (ICIP, 2010)

Action detection using multiple spatial-temporal interest point features. - Liangliang Cao; Yingli Tian; Zicheng Liu 001; Benjamin Z. Yao; Zhengyou Zhang; Thomas S. Huang (ICME, 2010)

The wisdom of social multimedia: using flickr for prediction and forecast. - Xin Jin 001; Andrew C. Gallagher; Liangliang Cao; Jiebo Luo 001; Jiawei Han 001 (ACM Multimedia, 2010)

A Study on Sampling Strategies in Space-Time Domain for Recognition Applications. - Mert Dikmen; Dennis J. Lin; Andrey Del Pozo; Liangliang Cao; Yun Fu 001; Thomas S. Huang (MMM, 2010)

Videos Semantic Indexing using Image Classification. - Ming Yang 007; Yuanqing Lin; Fengjun Lv; Shenghuo Zhu; Kai Yu 001; Mert Dikmen; Liangliang Cao; Thomas S. Huang (TRECVID, 2010)

RankCompete: simultaneous ranking and clustering of web photos. - Liangliang Cao; Andrey Del Pozo; Xin Jin 001; Jiebo Luo 001; Jiawei Han 001; Thomas S. Huang (WWW, 2010)

Image Segmentation by MAP-ML Estimations. - Shifeng Chen; Liangliang Cao; Yueming Wang 001; Jianzhuang Liu; Xiaoou Tang (IEEE Trans. Image Process., 2010)

Multimedia Information Networks in Social Media. - Liangliang Cao; Guo-Jun Qi; Shen-Fu Tsai; Min-Hsuan Tsai; Andrey Del Pozo; Thomas S. Huang; Xuemei Zhang; Suk Hwan Lim (Social Network Data Analytics, 2011)

Large-scale image classification: Fast feature extraction and SVM training. - Yuanqing Lin; Fengjun Lv; Shenghuo Zhu; Ming Yang 007; Timothée Cour; Kai Yu 001; Liangliang Cao; Thomas S. Huang (CVPR, 2011)

LPTA: A Probabilistic Model for Latent Periodic Topic Analysis. - Zhijun Yin; Liangliang Cao; Jiawei Han 001; Chengxiang Zhai; Thomas S. Huang (ICDM, 2011)

Compositional object pattern: a new model for album event recognition. - Shen-Fu Tsai; Liangliang Cao; Feng Tang; Thomas S. Huang (ACM Multimedia, 2011)

Learning to Search Efficiently in High Dimensions. - Zhen Li 028; Huazhong Ning; Liangliang Cao; Tong Zhang 001; Yihong Gong; Thomas S. Huang (NIPS, 2011)

Diversified Trajectory Pattern Ranking in Geo-tagged Social Media. - Zhijun Yin; Liangliang Cao; Jiawei Han 001; Jiebo Luo 001; Thomas S. Huang (SDM, 2011)

IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System. - Liangliang Cao; Shih-Fu Chang; Noel Codella; Courtenay V. Cotton; Dan Ellis; Leiguang Gong; Matthew L. Hill; Gang Hua 001; John R. Kender; Michele Merler; Yadong Mu; Apostol Natsev; et al. (TRECVID, 2011)

Geographical topic discovery and comparison. - Zhijun Yin; Liangliang Cao; Jiawei Han 001; Chengxiang Zhai; Thomas S. Huang (WWW, 2011)

A general framework for efficient clustering of large datasets based on activity detection. - Xin Jin 001; Sangkyum Kim; Jiawei Han 001; Liangliang Cao; Zhijun Yin (Stat. Anal. Data Min., 2011)

Heterogeneous Feature Fusion for Visual Recognition - Liangliang Cao (2011)

IBM T.J. Watson Research Center, Multimedia Analytics: Modality Classification and Case-Based Retrieval Tasks of ImageCLEF2012. - Liangliang Cao; Yuan-Chi Chang; Noel C. F. Codella; Michele Merler; Quoc-Bao Nguyen; John R. Smith (CLEF (Online Working Notes/Labs/Workshop), 2012)

Beyond Mahalanobis distance: Learning second-order discriminant function for people verification. - Zhen Li 028; Liangliang Cao; Shiyu Chang; John R. Smith; Thomas S. Huang (CVPR Workshops, 2012)

Scene Aligned Pooling for Complex Video Recognition. - Liangliang Cao; Yadong Mu; Apostol Natsev; Shih-Fu Chang; Gang Hua 001; John R. Smith (ECCV (2), 2012)

Video Event Detection Using Temporal Pyramids of Visual Semantics with Kernel Optimization and Model Subspace Boosting. - Noel C. F. Codella; Apostol Natsev; Gang Hua 001; Matthew L. Hill; Liangliang Cao; Leiguang Gong; John R. Smith (ICME, 2012)

How Multimedia in Enterprise Social Networks Matters to People's Performance. - Zhen Wen; Mercan Topkara; Liangliang Cao; Ching-Yung Lin; Jennifer C. Lai (ICME Workshops, 2012)

Delta-SimRank computing on MapReduce. - Liangliang Cao; Brian Cho; Hyun Duk Kim; Zhen Li 028; Min-Hsuan Tsai; Indranil Gupta (BigMine, 2012)

GeoMM'12: ACM international workshop on geotagging and its applications in multimedia. - Liangliang Cao; Gerald Friedland; Martha A. Larson (ACM Multimedia, 2012)

Submodular video hashing: a unified framework towards video pooling and indexing. - Liangliang Cao; Zhenguo Li; Yadong Mu; Shih-Fu Chang (ACM Multimedia, 2012)

MediaCCNY at TRECVID 2012: Surveillance Event Detection. - Xiaodong Yang 001; Chucai Yi; Liangliang Cao; Yingli Tian (TRECVID, 2012)

IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems. - Liangliang Cao; Shih-Fu Chang; Noel Codella; Courtenay V. Cotton; Dan Ellis; Leiguang Gong; Matthew L. Hill; Gang Hua 001; John R. Kender; Michele Merler; Yadong Mu; John R. Smith; et al. (TRECVID, 2012)

BlueFinder: estimate where a beach photo was taken. - Liangliang Cao; John R. Smith; Zhen Wen; Zhijun Yin; Xin Jin 001; Jiawei Han 001 (WWW (Companion Volume), 2012)

RankCompete: Simultaneous ranking and clustering of information networks. - Liangliang Cao; Xin Jin 001; Zhijun Yin; Andrey Del Pozo; Jiebo Luo 001; Jiawei Han 001; Thomas S. Huang (Neurocomputing, 2012)

Web-Scale Multimedia Information Networks. - Guo-Jun Qi; Min-Hsuan Tsai; Shen-Fu Tsai; Liangliang Cao; Thomas S. Huang (Proc. IEEE, 2012)

Latent Community Topic Analysis: Integration of Community Discovery with Topic Modeling. - Zhijun Yin; Liangliang Cao; Quanquan Gu; Jiawei Han 001 (ACM Trans. Intell. Syst. Technol., 2012)

Hierarchical Filtered Motion for Action Recognition in Crowded Videos. - Yingli Tian; Liangliang Cao; Zicheng Liu 001; Zhengyou Zhang (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Action Detection by Fusing Hierarchically Filtered Motion with Spatiotemporal Interest Point Features. - Yingli Tian; Liangliang Cao; Zicheng Liu 001; Zhengyou Zhang (Human Behavior Recognition Technologies, 2013)

Efficient Maximum Appearance Search for Large-Scale Object Detection. - Qiang Chen 007; Zheng Song; Rogério Schmidt Feris; Ankur Datta; Liangliang Cao; ZhongYang Huang; Shuicheng Yan (CVPR, 2013)

Learning Locally-Adaptive Decision Functions for Person Verification. - Zhen Li 028; Shiyu Chang; Feng Liang 002; Thomas S. Huang; Liangliang Cao; John R. Smith (CVPR, 2013)

Hierarchical Feature Pooling with Structure Learning: A New Method for Pedestrian Detection. - Xiaoyu Wang 002; Liangliang Cao; Rogério Schmidt Feris; Ankur Datta; Tony X. Han (CVPR Workshops, 2013)

Designing Category-Level Attributes for Discriminative Visual Recognition. - Felix X. Yu; Liangliang Cao; Rogério Schmidt Feris; John R. Smith; Shih-Fu Chang (CVPR, 2013)

Large-scale video event classification using dynamic temporal pyramid matching of visual semantics. - Noel C. F. Codella; Gang Hua 001; Liangliang Cao; Michele Merler; Leiguang Gong; Matthew L. Hill; John R. Smith (ICIP, 2013)

Learning by focusing: A new framework for concept recognition and feature selection. - Liangliang Cao; Leiguang Gong; John R. Kender; Noel C. F. Codella; John R. Smith (ICME, 2013)

Second ACM multimedia workshop on geotagging and its applications in multimedia (GeoMM 2013). - Liangliang Cao; Gerald Friedland; Pascal Kelm (ACM Multimedia, 2013)

Learning latent spatio-temporal compositional model for human action recognition. - Xiaodan Liang; Liang Lin; Liangliang Cao (ACM Multimedia, 2013)

Massive-scale multimedia semantic modeling. - John R. Smith; Liangliang Cao (ACM Multimedia, 2013)

Discovering Latent Clusters from Geotagged Beach Images. - Yang Wang 003; Liangliang Cao (MMM (2), 2013)

IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems. - Lisa M. Brown; Liangliang Cao; Chih-Fu Chang; Yu Cheng 001; Alok N. Choudhary; Noel Codella; Courtenay V. Cotton; Dan Ellis; Quanfu Fan; Rogério Schmidt Feris; Leiguang Gong; Matthew L. Hill; et al. (TRECVID, 2013)

Introduction to the special section of best papers of ACM multimedia 2012. - Ioannis Kompatsiaris; Wenjun Zeng 001; Gang Hua 001; Liangliang Cao (ACM Trans. Multim. Comput. Commun. Appl., 2013)

Cuteness Recognition and Localization in the Photos of Animals. - Yu Bao; Jing Yang; Liangliang Cao; Haojie Li; Jinhui Tang 001 (ACM Multimedia, 2014)

GeoMM 2014: the third ACM multimedia workshop ongeotagging and its applications in multimedia. - Liangliang Cao; Gerald Friedland; Lexing Xie (ACM Multimedia, 2014)

The Placing Task: A Large-Scale Geo-Estimation Challenge for Social-Media Videos and Images. - Jaeyoung Choi 002; Bart Thomee; Gerald Friedland; Liangliang Cao; Karl Ni; Damian Borth; Benjamin Elizalde; Luke R. Gottlieb; Carmen Carrano; Roger A. Pearce; Douglas Poland (GeoMM, 2014)

Modeling Attributes from Category-Attribute Proportions. - Felix X. Yu; Liangliang Cao; Michele Merler; Noel C. F. Codella; Tao Chen 015; John R. Smith; Shih-Fu Chang (ACM Multimedia, 2014)

Learning mid-level features from object hierarchy for image classification. - Somayah Albaradei; Yang Wang 003; Liangliang Cao; Li-Jia Li 001 (WACV, 2014)

A spatial-color layout feature for representing galaxy images. - Yin Cui; Yongzhou Xiang; Kun Rong; Rogério Schmidt Feris; Liangliang Cao (WACV, 2014)

Guest Editorial: Special issue on large scale multimedia semantic indexing. - Yadong Mu; Yi Yang 001; Liangliang Cao; Shuicheng Yan; Qi Tian 001 (Comput. Vis. Image Underst., 2014)

Large-Scale Geosocial Multimedia [Guest editorial]. - Rongrong Ji; Yi Yang 001; Nicu Sebe; Kiyoharu Aizawa; Liangliang Cao (IEEE Multim., 2014)

You are what you tweet...pic! gender prediction based on semantic analysis of social media images. - Michele Merler; Liangliang Cao; John R. Smith (ICME, 2015)

Medical Synonym Extraction with Concept Space Models. - Chang Wang 001; Liangliang Cao; Bowen Zhou 006 (IJCAI, 2015)

Multi-facet Learning using Deep Convolutional Neural Network for Person-Related Categories in Photos. - Liangliang Cao; Zhicheng Yan 001; John R. Smith (ICMR, 2015)

Understanding the crystallization mechanism of Ge-Te-Ti phase change material. - Xinglong Ji; Mi Zhou; Liangcai Wu; Liangliang Cao; Zhitang Song (NVMTS, 2015)

Automated Axon Segmentation from Highly Noisy Microscopic Videos. - John Bowler; Rogério Schmidt Feris; Liangliang Cao; Jun Wang; Mo Zhou (WACV, 2015)

LSIF: A System for Large-Scale Information Flow Detection Based on Topic-Related Semantic Similarity Measurement. - Meng Zhao; Hao Wang 005; Liangliang Cao; Chen Zhang 003; Hongzhi Yin; Fanjiang Xu (WI-IAT (1), 2015)

Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games. - Nikolai Yakovenko; Liangliang Cao; Colin Raffel; James Fan (CoRR, 2015)

Massive-scale learning of image and video semantic concepts. - John R. Smith; Liangliang Cao; Noel C. F. Codella; Matthew L. Hill; Michele Merler; Quoc-Bao Nguyen; E. Pring; Rosario A. Uceda-Sosa (IBM J. Res. Dev., 2015)

Max-Confidence Boosting With Uncertainty for Visual Tracking. - Wen Guo; Liangliang Cao; Tony X. Han; Shuicheng Yan; Changsheng Xu (IEEE Trans. Image Process., 2015)

A Multifaceted Approach to Social Multimedia-Based Prediction of Elections. - Quanzeng You; Liangliang Cao; Yang Cong; Xianchao Zhang 001; Jiebo Luo 001 (IEEE Trans. Multim., 2015)

Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games Using Convolutional Networks. - Nikolai Yakovenko; Liangliang Cao; Colin Raffel; James Fan (AAAI, 2016)

Multi-Scale Fully Convolutional Network for Fast Face Detection. - Yancheng Bai; Wenjing Ma; Yucheng Li 002; Liangliang Cao; Wen Guo; Luwei Yang (BMVC, 2016)

Video2GIF: Automatic Generation of Animated GIFs from Video. - Michael Gygli; Yale Song; Liangliang Cao (CVPR, 2016)

TGIF: A New Dataset and Benchmark on Animated GIF Description. - Yuncheng Li; Yale Song; Liangliang Cao; Joel R. Tetreault; Larry Goldberg; Alejandro Jaimes; Jiebo Luo 001 (CVPR, 2016)

Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs. - Wei Tan 001; Liangliang Cao; Liana L. Fong (HPDC, 2016)

Building Joint Spaces for Relation Extraction. - Chang Wang 001; Liangliang Cao; James Fan (IJCAI, 2016)

Incremental Learning for Fine-Grained Image Recognition. - Liangliang Cao; Jenhao Hsiao; Paloma de Juan; Yuncheng Li; Bart Thomee (ICMR, 2016)

GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring. - Wenjing Ma; Liangliang Cao; Lei Yu 012; Guoping Long; Yucheng Li 002 (ICMR, 2016)

Detecting Sarcasm in Multimodal Social Platforms. - Rossano Schifanella; Paloma de Juan; Joel R. Tetreault; Liangliang Cao (ACM Multimedia, 2016)

Robust Visual-Textual Sentiment Analysis: When Attention meets Tree-structured Recursive Neural Networks. - Quanzeng You; Liangliang Cao; Hailin Jin; Jiebo Luo 001 (ACM Multimedia, 2016)

A hybrid term-term relations analysis approach for topic detection. - Chen Zhang 003; Hao Wang 005; Liangliang Cao; Wei Wang 061; Fanjiang Xu (Knowl. Based Syst., 2016)

Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos. - Li-Jia Li 001; Rahul Kumar Jha; Bart Thomee; David Ayman Shamma; Liangliang Cao; Yang Wang 003 (Large-Scale Visual Geo-Localization, 2016)

Visual Memory QA: Your Personal Photo and Video Search Agent. - Lu Jiang 004; Liangliang Cao; Yannis Kalantidis; Sachin Farfade; Alexander G. Hauptmann (AAAI, 2017)

Learning from Noisy Labels with Distillation. - Yuncheng Li; Jianchao Yang; Yale Song; Liangliang Cao; Jiebo Luo 001; Li-Jia Li 001 (ICCV, 2017)

ACM SIGMM Rising Star Award 2017. - Liangliang Cao (ACM Multimedia, 2017)

Delving Deep into Personal Photo and Video Search. - Lu Jiang 004; Yannis Kalantidis; Liangliang Cao; Sachin Farfade; Jiliang Tang; Alexander G. Hauptmann (WSDM, 2017)

Learning from Noisy Labels with Distillation. - Yuncheng Li; Jianchao Yang; Yale Song; Liangliang Cao; Jiebo Luo 001; Jia Li 001 (CoRR, 2017)

MemexQA: Visual Memex Question Answering. - Lu Jiang 004; Junwei Liang 001; Liangliang Cao; Yannis Kalantidis; Sachin Farfade; Alexander G. Hauptmann (CoRR, 2017)

Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids. - Zhiqiang Shen; Honghui Shi; Rogério Schmidt Feris; Liangliang Cao; Shuicheng Yan; Ding Liu 001; Xinchao Wang; Xiangyang Xue 001; Thomas S. Huang (CoRR, 2017)

Guest editorial: mobile visual tagging with mobile context. - Shuqiang Jiang; Liangliang Cao; Jitao Sang; Jiebo Luo 001; Ramesh C. Jain (Multim. Syst., 2017)

Mining Fashion Outfit Composition Using an End-to-End Deep Learning Approach on Set Data. - Yuncheng Li; Liangliang Cao; Jiang Zhu; Jiebo Luo 001 (IEEE Trans. Multim., 2017)

Context-Associative Hierarchical Memory Model for Human Activity Recognition and Prediction. - Lei Wang 060; Xu Zhao 001; Yunfei Si; Liangliang Cao; Yuncai Liu (IEEE Trans. Multim., 2017)

Image-Based Appraisal of Real Estate Properties. - Quanzeng You; Ran Pang; Liangliang Cao; Jiebo Luo 001 (IEEE Trans. Multim., 2017)

Focal Visual-Text Attention for Visual Question Answering. - Junwei Liang 001; Lu Jiang 004; Liangliang Cao; Li-Jia Li 001; Alexander G. Hauptmann (CVPR, 2018)

Learning Deterministic Policy with Target for Power Control in Wireless Networks. - Yujiao Lu; Hancheng Lu; Liangliang Cao; Feng Wu 001; Daren Zhu (GLOBECOM, 2018)

Lip2Audspec: Speech Reconstruction from Silent Lip Movements Video. - Hassan Akbari; Himani Arora; Liangliang Cao; Nima Mesgarani (ICASSP, 2018)

Matrix Factorization on GPUs with Memory Optimization and Approximate Computing. - Wei Tan 001; Shiyu Chang; Liana Fong; Cheng Li; Zijun Wang; Liangliang Cao (ICPP, 2018)

Improving Object Detection from Scratch via Gated Feature Reuse. - Zhiqiang Shen; Honghui Shi; Jiahui Yu; Hai Phan 001; Rogério Feris; Liangliang Cao; Ding Liu 001; Xinchao Wang; Thomas S. Huang; Marios Savvides (BMVC, 2019)

Automatic Adaptation of Object Detectors to New Domains Using Self-Training. - Aruni RoyChowdhury; Prithvijit Chakrabarty; Ashish Singh; SouYoung Jin; Huaizu Jiang; Liangliang Cao; Erik G. Learned-Miller (CVPR, 2019)

3DFPN-HS ^2 2 : 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection. - Jingya Liu; Liangliang Cao; Oguz Akin; Yingli Tian (MICCAI (6), 2019)

3DFPN-HS2: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection. - Jingya Liu; Liangliang Cao; Oguz Akin; Yingli Tian (CoRR, 2019)

Product Image Recognition with Guidance Learning and Noisy Supervision. - Qing Li 058; Xiaojiang Peng; Liangliang Cao; Wenbin Du; Hao Xing; Yu Qiao 001 (CoRR, 2019)

Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning. - Jingya Liu; Liangliang Cao; Oguz Akin; Yingli Tian (CoRR, 2019)

Progressive Learning Algorithm for Efficient Person Re-Identification. - Zhen Li 047; Hanyang Shao; Nian Xue; Liang Niu; Liangliang Cao (CoRR, 2019)

Focal Visual-Text Attention for Memex Question Answering. - Junwei Liang 001; Lu Jiang 004; Liangliang Cao; Yannis Kalantidis; Li-Jia Li 001; Alexander G. Hauptmann (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions. - Matheus Gadelha; Aruni RoyChowdhury; Gopal Sharma; Evangelos Kalogerakis; Liangliang Cao; Erik G. Learned-Miller; Rui Wang 003; Subhransu Maji (ECCV (10), 2020)

Zero-shot Entity Linking with Efficient Long Range Sequence Modeling. - Zonghai Yao; Liangliang Cao; Huapu Pan (EMNLP (Findings), 2020)

Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models. - Zhiyun Lu; Liangliang Cao; Yu Zhang 033; Chung-Cheng Chiu; James Fan (ICASSP, 2020)

A Large Scale Speech Sentiment Corpus. - Eric Chen; Zhiyun Lu; Hao Xu; Liangliang Cao; Yu Zhang 033; James Fan (LREC, 2020)

Deep Active Learning for Effective Pulmonary Nodule Detection. - Jingya Liu; Liangliang Cao; Yingli Tian (MICCAI (6), 2020)

Spatial-Temporal Alignment Network for Action Recognition and Detection. - Junwei Liang 001; Liangliang Cao; Xuehan Xiong; Ting Yu 003; Alexander G. Hauptmann (CoRR, 2020)

Product image recognition with guidance learning and noisy supervision. - Qing Li 058; Xiaojiang Peng; Liangliang Cao; Wenbin Du; Hao Xing; Yu Qiao 001; Qiang Peng (Comput. Vis. Image Underst., 2020)

Improving Streaming Automatic Speech Recognition with Non-Streaming Model Distillation on Unsupervised Data. - Thibault Doutre; Wei Han 002; Min Ma; Zhiyun Lu; Chung-Cheng Chiu; Ruoming Pang; Arun Narayanan; Ananya Misra; Yu Zhang 033; Liangliang Cao (ICASSP, 2021)

Confidence Estimation for Attention-Based Sequence-to-Sequence Models for Speech Recognition. - Qiujia Li; David Qiu; Yu Zhang 033; Bo Li 028; Yanzhang He; Philip C. Woodland; Liangliang Cao; Trevor Strohman (ICASSP, 2021)

Learning Word-Level Confidence for Subword End-To-End ASR. - David Qiu; Qiujia Li; Yanzhang He; Yu Zhang 033; Bo Li 028; Liangliang Cao; Rohit Prabhavalkar; Deepti Bhatia; Wei Li 133; Ke Hu; Tara N. Sainath; Ian McGraw (ICASSP, 2021)

Bridging the Gap Between Streaming and Non-Streaming ASR Systems by Distilling Ensembles of CTC and RNN-T Models. - Thibault Doutre; Wei Han 002; Chung-Cheng Chiu; Ruoming Pang; Olivier Siohan; Liangliang Cao (Interspeech, 2021)

Residual Energy-Based Models for End-to-End Speech Recognition. - Qiujia Li; Yu Zhang 033; Bo Li 028; Liangliang Cao; Philip C. Woodland (Interspeech, 2021)

Exploring Targeted Universal Adversarial Perturbations to End-to-End ASR Models. - Zhiyun Lu; Wei Han 002; Yu Zhang 033; Liangliang Cao (Interspeech, 2021)

Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction. - David Qiu; Yanzhang He; Qiujia Li; Yu Zhang 033; Liangliang Cao; Ian McGraw (Interspeech, 2021)

RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. - Chung-Cheng Chiu; Arun Narayanan; Wei Han 002; Rohit Prabhavalkar; Yu Zhang 033; Navdeep Jaitly; Ruoming Pang; Tara N. Sainath; Patrick Nguyen; Liangliang Cao; Yonghui Wu (SLT, 2021)

Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models. - Thibault Doutre; Wei Han 002; Chung-Cheng Chiu; Ruoming Pang; Olivier Siohan; Liangliang Cao (CoRR, 2021)

Input Length Matters: An Empirical Study Of RNN-T And MWER Training For Long-form Telephony Speech Recognition. - Zhiyun Lu; Yanwei Pan; Thibault Doutre; Liangliang Cao; Rohit Prabhavalkar; Chao Zhang 031; Trevor Strohman (CoRR, 2021)

SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds. - Gopal Sharma; Bidya Dash; Matheus Gadelha; Aruni RoyChowdhury; Marios Loizou; Evangelos Kalogerakis; Liangliang Cao; Erik G. Learned-Miller; Rui Wang 003; Subhransu Maji (CoRR, 2021)

Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition. - Qiujia Li; Yu Zhang 033; David Qiu; Yanzhang He; Liangliang Cao; Philip C. Woodland (ICASSP, 2022)

PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation. - Gopal Sharma; Bidya Dash; Aruni Roy Chowdhury; Matheus Gadelha; Marios Loizou; Liangliang Cao; Rui Wang 003; Erik G. Learned-Miller; Subhransu Maji; Evangelos Kalogerakis (Comput. Graph. Forum, 2022)

Exploiting Category Names for Few-Shot Classification with Vision-Language Models. - Taihong Xiao; Zirui Wang; Liangliang Cao; Jiahui Yu; Shengyang Dai; Ming-Hsuan Yang 001 (CoRR, 2022)

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. - Yu Zhang 033; Daniel S. Park; Wei Han 002; James Qin; Anmol Gulati; Joel Shor; Aren Jansen; Yuanzhong Xu; Yanping Huang; Shibo Wang; Zongwei Zhou; Bo Li 028; et al. (IEEE J. Sel. Top. Signal Process., 2022)

STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. - Chen Chen 005; Bowen Zhang 002; Liangliang Cao; Jiguang Shen; Tom Gunter; Albin Madappally Jose; Alexander Toshev; Yantao Zheng; Jonathon Shlens; Ruoming Pang; Yinfei Yang (EMNLP, 2023)

RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture. - Liangchen Song; Liangliang Cao; Hongyu Xu; Kai Kang; Feng Tang; Junsong Yuan 001; Zhao Yang (ACM Multimedia, 2023)

STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. - Chen Chen 005; Bowen Zhang 002; Liangliang Cao; Jiguang Shen; Tom Gunter; Albin Madappally Jose; Alexander Toshev; Jonathon Shlens; Ruoming Pang; Yinfei Yang (CoRR, 2023)

Less is More: Removing Text-regions Improves CLIP Training Efficiency and Robustness. - Liangliang Cao; Bowen Zhang 002; Chen Chen 005; Yinfei Yang; Xianzhi Du; Wencong Zhang; Zhiyun Lu; Yantao Zheng (CoRR, 2023)

Instruction-Following Speech Recognition. - Cheng-I Jeff Lai; Zhiyun Lu; Liangliang Cao; Ruoming Pang (CoRR, 2023)

Efficient-NeRF2NeRF: Streamlining Text-Driven 3D Editing with Multiview Correspondence-Enhanced Diffusion Models. - Liangchen Song; Liangliang Cao; Jiatao Gu; Yifan Jiang 001; Junsong Yuan 001; Hao Tang 001 (CoRR, 2023)

Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day. - Yifan Jiang 001; Hao Tang 001; Jen-Hao Rick Chang; Liangchen Song; Zhangyang Wang; Liangliang Cao (ICLR, 2024)

Ferret: Refer and Ground Anything Anywhere at Any Granularity. - Haoxuan You; Haotian Zhang 005; Zhe Gan; Xianzhi Du; Bowen Zhang 002; Zirui Wang; Liangliang Cao; Shih-Fu Chang; Yinfei Yang (ICLR, 2024)

MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models. - Hang Hua; Yunlong Tang 002; Ziyun Zeng; Liangliang Cao; Zhengyuan Yang; Hangfeng He 001; Chenliang Xu; Jiebo Luo 001 (CoRR, 2024)

Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention. - Dejia Xu; Yifan Jiang 001; Chen Huang; Liangchen Song; Thorsten Gernoth; Liangliang Cao; Zhangyang Wang; Hao Tang 001 (CoRR, 2024)

Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws. - Xiyuan Wei; Ming Lin; Fanjiang Ye; Fengguang Song; Liangliang Cao; My T. Thai; Tianbao Yang (CoRR, 2025)

Diffusion Model-Based Image Editing: A Survey. - Yi Huang 035; Jiancheng Huang; Yifan Liu 001; Mingfu Yan; Jiaxi Lv; Jianzhuang Liu; Wei Xiong 008; He Zhang 004; Liangliang Cao; Shifeng Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2025)