--- My students (both advised and co-advised students) or interns are indicated by "*". ---
Multi-View Transformer for 3D Visual Grounding
S. Huang*, Y. Chen, J. Jia, L. Wang, CVPR 2022
Stratified Transformer for 3D Point Cloud Segmentation
X. Lai*, J. Liu, L. Jiang, L. Wang, H. Zhao, S. Liu, X. Qi, J. Jia, CVPR 2022
Voxel Field Fusion for 3D Object Detection
Y. Li*, X. Qi, Y. Chen, L. Wang, Z. Li, J. Sun, J. Jia, CVPR 2022
Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency
Y. Li*, F. Luo, R. Xu, S. Huang, F. Huang, L. Wang, ACL 2022
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows
J. Zhao*, Y. Li*, W. Du, Y. Ji, D. Yu, M. R Lyu, L. Wang, EMNLP 2022
Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation
Y. Li*, J. Zhao*, M. R. Lyu, L. Wang, EMNLP 2022
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
X. Lai*, Z. Tian, X. Xu, Y. Chen, S. Liu, H. Zhao, L. Wang, J. Jia, ECCV 2022
Fully convolutional networks for panoptic segmentation with point-based supervision
Y. Li*, H. Zhao, X. Qi, Y. Chen, L. Qi, L. Wang, Z. Li, J. Sun, J. Jia, TPAMI 2022
Robust Dialogue Utterance Rewriting as Sequence Tagging
J. Hao, L. Song, L. Wang, K. Xu, Z. Tu, D. Yu, EMNLP 2021
SAT: 2D Semantics Assisted Training for 3D Visual Grounding
Z. Yang, S. Zhang, L. Wang, J. Luo, ICCV, Oral 2021
Deep Structured Instance Graph for Distilling Object Detectors
Y. Chen*, P. Chen, S. Liu, L. Wang, J. Jia, ICCV 2021
Learnable boundary guided adversarial training
J. Cui, S. Liu, L. Wang, J. Jia, ICCV 2021
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
P. Ke, H. Ji, Y. Ran, X. Cui, L. Wang, L. Song, X. Zhu, M. Huang, Findings of ACL 2021
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation
L. Wang, J. Huang, Y. Li, K. Xu, Z. Yang, D. Yu, CVPR 2021
Self-Supervised 3D Mesh Reconstruction from Single Images
T. Hu, L. Wang, X. Xu, S. Liu, J. Jia, CVPR 2021
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
X. Lai*, Z. Tian, L. Jiang, S. Liu, H. Zhao, L. Wang, J. Jia, CVPR 2021
Fully Convolutional Networks for Panoptic Segmentation
Y. Li*, H. Zhao, X. Qi, L. Wang, Z. Li, J. Sun, J. Jia, CVPR 2021 Oral
DAGN: Discourse-Aware Graph Network for Logical Reasoning
Y. Huang*, M. Fang, Y. Cao, L. Wang, X. Liang, NAACL 2021
Comprehensive Image Captioning via Scene Graph Decomposition
Y. Zhong*, L. Wang, J. Chen, D. Yu, Y. Li, ECCV 2020
Improving One-stage Visual Grounding by Recursive Sub-query Construction
Z. Yang, T. Chen, L. Wang, J. Luo, ECCV 2020
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning
J. Lei*, L. Wang, Y. Shen, D. Yu, T. Berg, M. Bansal, ACL 2020
A Fast and Accurate One-Stage Approach to Visual Grounding
Z. Yang*, B. Gong, L.Wang, W.Huang, D.Yu, J.Luo, ICCV 2019 Oral
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network
K.Xu, L.Wang, M. Yu, Y. Feng, Y. Song, Z. Wang and D. Yu, ACL 2019
Diverse and Controllable Image Captioning with Part-of-Speech Guidance
A. Deshpande, J. Aneja, L. Wang, A.G.Schwing, D. A. Forsyth, CVPR 2019 Oral
Learning Structural Motif Representations For Efficient Protein Structure Search
Y.Liu, Q.Ye, L.Wang, J.Peng, ECCB, 2018
Learning Two-Branch Neural Networks for Image-Text Matching Tasks
L. Wang, Y.Li, J.Huang, S.Lazebnik, TPAMI, 2018, accepted
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space
L.Wang, A.G.Schwing, S.Lazebnik, NIPS, 2017
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
B. Plummer, L. Wang, C. Cervantes, J. Caicedo, J. Hockenmaier, and S. Lazebnik. IJCV, 2016, accepted.
Learning Deep Structure-Preserving Image-Text Embeddings
L.Wang, Y.Li, S.Lazebnik, CVPR, 2016
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
B. Plummer, L. Wang, C. Cervantes, J. Caicedo, J. Hockenmaier, S. Lazebnik, ICCV, 2015
Training Deeper Convolutional Networks with Deep Supervision
L.Wang, C.Lee, Z.Tu, S. Lazebnik, arXiv:1505.02496, 2015
Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections
Y. Gong, L. Wang, M. Hodosh, J. Hockenmaier, and S. Lazebnik, ECCV 2014
Multi-Scale Orderless Pooling of Deep Convolutional Activation Features
Y. Gong, L. Wang, R. Guo, and S. Lazebnik, ECCV 2014
Learning to predict from crowdsourced data
W. Bi, L. Wang, J. Kwok, and Z.Tu, UAI 2014
Discriminative Clustering via Generative Feature Mapping
L. Wang, X. Li, Z. Tu, J. Jia, AAAI 2012 Oral
Learning Sparse Covariance Patterns for Natural Scenes
L. Wang, Y. Li, J. Jia, J. Sun, D. Wipf, J. Rehg, CVPR 2012,
Bayesian Face Revisited: A Joint Formulation
D. Chen, X. Cao, L. Wang, F. Wen, J. Sun, ECCV 2012,
Learning parts-based representation for face transition
X. Li, L. Wang, H.Liu, Y.Liu, ACM MM, 2010 (* equally)