Liangliang Cao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
68
Venues
26
Active years
2005–2025
Best venue rank
A*
Where they publish
- A*CVPR14 papers
- MulticonferenceICASSP7 papers
- A*ICCV5 papers
- AInterspeech4 papers
- A*ECCV3 papers
- AWACV3 papers
- A*WWW3 papers
- A*ICML2 papers
- A*ICLR2 papers
- A*EMNLP2 papers
- AMICCAI2 papers
- ABMVC2 papers
- A*AAAI2 papers
- A*IJCAI2 papers
- BICIP2 papers
- BMMM2 papers
- ASDM2 papers
- BLREC1 paper
- BGLOBECOM1 paper
- BICPP1 paper
- AWSDM1 paper
- AHPDC1 paper
- A*KDD1 paper
- A*ICDM1 paper
- ACIKM1 paper
- BICPR1 paper
Papers
68 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | 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 |
| 2025 | ICML | Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention. | Dejia Xu, Yifan Jiang, Chen Huang, Liangchen Song, Thorsten Gernoth, Liangliang Cao, Zhangyang Wang, Hao Tang |
| 2024 | ICLR | Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day. | Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao |
| 2024 | ICLR | Ferret: Refer and Ground Anything Anywhere at Any Granularity. | Haoxuan You, Haotian Zhang, Zhe Gan, Xianzhi Du, Bowen Zhang, Zirui Wang, Liangliang Cao, Shih-Fu Chang, Yinfei Yang |
| 2023 | EMNLP | STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. | Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Yantao Zheng, Jonathon Shlens, Ruoming Pang, Yinfei Yang |
| 2022 | ICASSP | Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition. | Qiujia Li, Yu Zhang, David Qiu, Yanzhang He, Liangliang Cao, Philip C. Woodland |
| 2021 | ICASSP | Improving Streaming Automatic Speech Recognition with Non-Streaming Model Distillation on Unsupervised Data. | Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao |
| 2021 | ICASSP | Confidence Estimation for Attention-Based Sequence-to-Sequence Models for Speech Recognition. | Qiujia Li, David Qiu, Yu Zhang, Bo Li, Yanzhang He, Philip C. Woodland, Liangliang Cao, Trevor Strohman |
| 2021 | ICASSP | Learning Word-Level Confidence for Subword End-To-End ASR. | David Qiu, Qiujia Li, Yanzhang He, Yu Zhang, Bo Li, Liangliang Cao, Rohit Prabhavalkar, Deepti Bhatia, Wei Li, Ke Hu, Tara N. Sainath, Ian McGraw |
| 2021 | Interspeech | Bridging the Gap Between Streaming and Non-Streaming ASR Systems by Distilling Ensembles of CTC and RNN-T Models. | Thibault Doutre, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Olivier Siohan, Liangliang Cao |
| 2021 | Interspeech | Residual Energy-Based Models for End-to-End Speech Recognition. | Qiujia Li, Yu Zhang, Bo Li, Liangliang Cao, Philip C. Woodland |
| 2021 | Interspeech | Exploring Targeted Universal Adversarial Perturbations to End-to-End ASR Models. | Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao |
| 2021 | Interspeech | Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction. | David Qiu, Yanzhang He, Qiujia Li, Yu Zhang, Liangliang Cao, Ian McGraw |
| 2020 | ECCV | 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, Subhransu Maji |
| 2020 | EMNLP | Zero-shot Entity Linking with Efficient Long Range Sequence Modeling. | Zonghai Yao, Liangliang Cao, Huapu Pan |
| 2020 | ICASSP | Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models. | Zhiyun Lu, Liangliang Cao, Yu Zhang, Chung-Cheng Chiu, James Fan |
| 2020 | LREC | A Large Scale Speech Sentiment Corpus. | Eric Chen, Zhiyun Lu, Hao Xu, Liangliang Cao, Yu Zhang, James Fan |
| 2020 | MICCAI | Deep Active Learning for Effective Pulmonary Nodule Detection. | Jingya Liu, Liangliang Cao, Yingli Tian |
| 2019 | BMVC | Improving Object Detection from Scratch via Gated Feature Reuse. | Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogrio Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides |
| 2019 | CVPR | 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 |
| 2019 | CVPR | 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 |
| 2019 | MICCAI | 3DFPN-HS ^2 2 : 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection. | Jingya Liu, Liangliang Cao, Oguz Akin, Yingli Tian |
| 2018 | CVPR | Focal Visual-Text Attention for Visual Question Answering. | Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander G. Hauptmann |
| 2018 | GLOBECOM | Learning Deterministic Policy with Target for Power Control in Wireless Networks. | Yujiao Lu, Hancheng Lu, Liangliang Cao, Feng Wu, Daren Zhu |
| 2018 | ICASSP | Lip2Audspec: Speech Reconstruction from Silent Lip Movements Video. | Hassan Akbari, Himani Arora, Liangliang Cao, Nima Mesgarani |
| 2018 | ICPP | Matrix Factorization on GPUs with Memory Optimization and Approximate Computing. | Wei Tan, Shiyu Chang, Liana Fong, Cheng Li, Zijun Wang, Liangliang Cao |
| 2017 | AAAI | Visual Memory QA: Your Personal Photo and Video Search Agent. | Lu Jiang, Liangliang Cao, Yannis Kalantidis, Sachin Farfade, Alexander G. Hauptmann |
| 2017 | ICCV | Learning from Noisy Labels with Distillation. | Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo, Li-Jia Li |
| 2017 | WSDM | Delving Deep into Personal Photo and Video Search. | Lu Jiang, Yannis Kalantidis, Liangliang Cao, Sachin Farfade, Jiliang Tang, Alexander G. Hauptmann |
| 2016 | AAAI | 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 |
| 2016 | BMVC | Multi-Scale Fully Convolutional Network for Fast Face Detection. | Yancheng Bai, Wenjing Ma, Yucheng Li, Liangliang Cao, Wen Guo, Luwei Yang |
| 2016 | CVPR | Video2GIF: Automatic Generation of Animated GIFs from Video. | Michael Gygli, Yale Song, Liangliang Cao |
| 2016 | CVPR | 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 |
| 2016 | HPDC | Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs. | Wei Tan, Liangliang Cao, Liana L. Fong |
| 2016 | IJCAI | Building Joint Spaces for Relation Extraction. | Chang Wang, Liangliang Cao, James Fan |
| 2015 | IJCAI | Medical Synonym Extraction with Concept Space Models. | Chang Wang, Liangliang Cao, Bowen Zhou |
| 2015 | WACV | Automated Axon Segmentation from Highly Noisy Microscopic Videos. | John Bowler, Rogrio Schmidt Feris, Liangliang Cao, Jun Wang, Mo Zhou |
| 2014 | WACV | Learning mid-level features from object hierarchy for image classification. | Somayah Albaradei, Yang Wang, Liangliang Cao, Li-Jia Li |
| 2014 | WACV | A spatial-color layout feature for representing galaxy images. | Yin Cui, Yongzhou Xiang, Kun Rong, Rogrio Schmidt Feris, Liangliang Cao |
| 2013 | CVPR | Efficient Maximum Appearance Search for Large-Scale Object Detection. | Qiang Chen, Zheng Song, Rogrio Schmidt Feris, Ankur Datta, Liangliang Cao, ZhongYang Huang, Shuicheng Yan |
| 2013 | CVPR | Learning Locally-Adaptive Decision Functions for Person Verification. | Zhen Li, Shiyu Chang, Feng Liang, Thomas S. Huang, Liangliang Cao, John R. Smith |
| 2013 | CVPR | Hierarchical Feature Pooling with Structure Learning: A New Method for Pedestrian Detection. | Xiaoyu Wang, Liangliang Cao, Rogrio Schmidt Feris, Ankur Datta, Tony X. Han |
| 2013 | CVPR | Designing Category-Level Attributes for Discriminative Visual Recognition. | Felix X. Yu, Liangliang Cao, Rogrio Schmidt Feris, John R. Smith, Shih-Fu Chang |
| 2013 | ICIP | Large-scale video event classification using dynamic temporal pyramid matching of visual semantics. | Noel C. F. Codella, Gang Hua, Liangliang Cao, Michele Merler, Leiguang Gong, Matthew L. Hill, John R. Smith |
| 2013 | MMM | Discovering Latent Clusters from Geotagged Beach Images. | Yang Wang, Liangliang Cao |
| 2012 | CVPR | Beyond Mahalanobis distance: Learning second-order discriminant function for people verification. | Zhen Li, Liangliang Cao, Shiyu Chang, John R. Smith, Thomas S. Huang |
| 2012 | ECCV | Scene Aligned Pooling for Complex Video Recognition. | Liangliang Cao, Yadong Mu, Apostol Natsev, Shih-Fu Chang, Gang Hua, John R. Smith |
| 2012 | KDD | Delta-SimRank computing on MapReduce. | Liangliang Cao, Brian Cho, Hyun Duk Kim, Zhen Li, Min-Hsuan Tsai, Indranil Gupta |
| 2012 | WWW | BlueFinder: estimate where a beach photo was taken. | Liangliang Cao, John R. Smith, Zhen Wen, Zhijun Yin, Xin Jin, Jiawei Han |
| 2011 | CVPR | Large-scale image classification: Fast feature extraction and SVM training. | Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Ming Yang, Timothe Cour, Kai Yu, Liangliang Cao, Thomas S. Huang |
| 2011 | ICDM | LPTA: A Probabilistic Model for Latent Periodic Topic Analysis. | Zhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang Zhai, Thomas S. Huang |
| 2011 | WWW | Geographical topic discovery and comparison. | Zhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang Zhai, Thomas S. Huang |
| 2011 | SDM | Diversified Trajectory Pattern Ranking in Geo-tagged Social Media. | Zhijun Yin, Liangliang Cao, Jiawei Han, Jiebo Luo, Thomas S. Huang |
| 2010 | CIKM | Visual cube and on-line analytical processing of images. | Xin Jin, Jiawei Han, Liangliang Cao, Jiebo Luo, Bolin Ding, Cindy Xide Lin |
| 2010 | CVPR | Cross-dataset action detection. | Liangliang Cao, Zicheng Liu, Thomas S. Huang |
| 2010 | ICASSP | A worldwide tourism recommendation system based on geotaggedweb photos. | Liangliang Cao, Jiebo Luo, Andrew C. Gallagher, Xin Jin, Jiawei Han, Thomas S. Huang |
| 2010 | ICIP | Accurate and efficient reconstruction of 3D faces from stereo images. | Vuong Le, Hao Tang, Liangliang Cao, Thomas S. Huang |
| 2010 | MMM | A Study on Sampling Strategies in Space-Time Domain for Recognition Applications. | Mert Dikmen, Dennis J. Lin, Andrey Del Pozo, Liangliang Cao, Yun Fu, Thomas S. Huang |
| 2010 | WWW | RankCompete: simultaneous ranking and clustering of web photos. | Liangliang Cao, Andrey Del Pozo, Xin Jin, Jiebo Luo, Jiawei Han, Thomas S. Huang |
| 2009 | ICCV | Heterogeneous feature machines for visual recognition. | Liangliang Cao, Jiebo Luo, Feng Liang, Thomas S. Huang |
| 2009 | ICCV | Action detection in complex scenes with spatial and temporal ambiguities. | Yuxiao Hu, Liangliang Cao, Fengjun Lv, Shuicheng Yan, Yihong Gong, Thomas S. Huang |
| 2009 | SDM | GAD: General Activity Detection for Fast Clustering on Large Data. | Xin Jin, Sangkyum Kim, Jiawei Han, Liangliang Cao, Zhijun Yin |
| 2008 | CVPR | Annotating collections of photos using hierarchical event and scene models. | Liangliang Cao, Jiebo Luo, Henry A. Kautz, Thomas S. Huang |
| 2007 | CVPR | Iterative MAP and ML Estimations for Image Segmentation. | Shifeng Chen, Liangliang Cao, Jianzhuang Liu, Xiaoou Tang |
| 2007 | ICCV | Spatially Coherent Latent Topic Model for Concurrent Segmentation and Classification of Objects and Scenes. | Liangliang Cao, Li Fei-Fei |
| 2006 | ECCV | Degen Generalized Cylinders and Their Properties. | Liangliang Cao, Jianzhuang Liu, Xiaoou Tang |
| 2006 | ICPR | 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 |
| 2005 | ICCV | 3D Object Reconstruction from a Single 2D Line Drawing without Hidden Lines. | Liangliang Cao, Jianzhuang Liu, Xiaoou Tang |