Research output per year
Research output per year
Search results
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2025
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model
Li, Y., Zhang, H. & Yuan, Y., 11 Apr 2025, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 17, p. 18575-18583 9 p.Research output: Contribution to journal › Conference article › peer-review
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Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting
Guo, H., Gao, J. & Yuan, Y., 11 Apr 2025, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 3, p. 3238-3246 9 p.Research output: Contribution to journal › Conference article › peer-review
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Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding
Gao, X., Zhang, P., Qu, D., Wang, D., Wang, Z., Ding, Y. & Zhao, B., 11 Apr 2025, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 3, p. 3095-3103 9 p.Research output: Contribution to journal › Conference article › peer-review
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2024
Color Event Enhanced Single-Exposure HDR Imaging
Cui, M., Wang, Z., Wang, D., Zhao, B. & Li, X., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 2, p. 1399-1407 9 p.Research output: Contribution to journal › Conference article › peer-review
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Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
Bai, S., Li, S., Zhuang, W., Zhang, J., Yang, K., Hou, J., Zhang, S., Yi, S. & Gao, J., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 10, p. 10989-10997 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
DAG-Aware Variational Autoencoder for Social Propagation Graph Generation
Hou, D., Gao, C., Li, X. & Wang, Z., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 8, p. 8508-8516 9 p.Research output: Contribution to journal › Conference article › peer-review
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GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting
Yan, C., Qu, D., Xu, D., Zhao, B., Wang, Z., Wang, D. & Li, X., 2024, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 19595-19604 10 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation
Jing, L., Ding, Y., Gao, Y., Wang, Z., Yan, X., Wang, D., Schaefer, G., Fang, H., Zhao, B. & Li, X., 2024, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 23128-23137 10 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Implicit Event-RGBD Neural SLAM
Qu, D., Yan, C., Wang, D., Yin, J., Chen, Q., Xu, D., Zhang, Y., Zhao, B. & Li, X., 2024, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 19584-19594 11 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance
Lu, J., Xia, W., Wang, D., Wang, Z., Zhao, B., Hu, D. & Li, X., 2024, In: Proceedings of Machine Learning Research. 270, p. 3847-3865 19 p.Research output: Contribution to journal › Conference article › peer-review
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Multi-Class Support Vector Machine with Maximizing Minimum Margin
Nie, F., Hao, Z. & Wang, R., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 13, p. 14466-14473 8 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Outlier-Robust Feature Selection with ℓ2,1-Norm Minimization and Group Row-Sparsity Induced Constraints
Wang, J., Wang, Z., Wang, R., Nie, F. & Li, X., 2024, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. p. 3585-3589 5 p.Research output: Contribution to journal › Conference article › peer-review
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Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
Tang, Y., Zhang, R., Guo, Z., Ma, X., Zhao, B., Wang, Z., Wang, D. & Li, X., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 6, p. 5171-5179 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
2023
Behavior Contrastive Learning for Unsupervised Skill Discovery
Yang, R., Bai, C., Guo, H., Li, S., Zhao, B., Wang, Z., Liu, P. & Li, X., 2023, In: Proceedings of Machine Learning Research. 202, p. 39183-39204 22 p.Research output: Contribution to journal › Conference article › peer-review
12 Scopus citations -
Cross-Domain Policy Adaptation via Value-Guided Data Filtering
Xu, K., Bai, C., Ma, X., Wang, D., Zhao, B., Wang, Z., Li, X. & Li, W., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
7 Scopus citations -
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
He, H., Bai, C., Xu, K., Yang, Z., Zhang, W., Wang, D., Zhao, B. & Li, X., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
25 Scopus citations -
Joint Feature and Differentiable k-NN Graph Learning using Dirichlet Energy
Xu, L., Chen, L., Wang, R., Nie, F. & Li, X., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
Propagate and Calibrate: Real-Time Passive Non-Line-of-Sight Tracking
Wang, Y., Wang, Z., Zhao, B., Wang, D., Chen, M. & Li, X., 2023, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2023-June, p. 972-981 10 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Unsupervised Feature Selection with self-Weighted and ℓ2,0-Norm Constraint
Yuan, Y., Wang, Z., Nie, F. & Li, X., 2023, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings.Research output: Contribution to journal › Conference article › peer-review
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2021
3D confocal photoacoustic dermoscopy using a multifunctional sono-opto probe
Ma, H., Ding, R. & Huang, Q., 2021, In: IEEE International Ultrasonics Symposium, IUS.Research output: Contribution to journal › Conference article › peer-review
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2020
Efficient clustering based on a unified view of k-means and ratio-cut
Pei, S., Nie, F., Wang, R. & Li, X., 2020, In: Advances in Neural Information Processing Systems. 2020-DecemberResearch output: Contribution to journal › Conference article › peer-review
23 Scopus citations -
Efficient dynamic scene deblurring using spatially variant deconvolution network with optical flow guided training
Yuan, Y., Su, W. & Ma, D., 2020, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 3552-3561 10 p., 9157149.Research output: Contribution to journal › Conference article › peer-review
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Learning feature sparse principal subspace
Tian, L., Nie, F., Wang, R. & Li, X., 2020, In: Advances in Neural Information Processing Systems. 2020-DecemberResearch output: Contribution to journal › Conference article › peer-review
18 Scopus citations -
Predicting cognitive declines using longitudinally enriched representations for imaging biomarkers
Alzheimer’s Disease Neuroimaging Initiative, 2020, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 4826-4835 10 p., 9156727.Research output: Contribution to journal › Conference article › peer-review
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Unsupervised semantic aggregation and deformable template matching for semi-supervised learning
Han, T., Gao, J., Yuan, Y. & Wang, Q., 2020, In: Advances in Neural Information Processing Systems. 2020-DecemberResearch output: Contribution to journal › Conference article › peer-review
20 Scopus citations -
Variational context-deformable convnets for indoor scene parsing
Xiong, Z., Yuan, Y., Guo, N. & Wang, Q., 2020, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 3991-4001 11 p., 9156787.Research output: Contribution to journal › Conference article › peer-review
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2017
Learning A structured optimal bipartite graph for co-clustering
Nie, F., Wang, X., Deng, C. & Huang, H., 2017, In: Advances in Neural Information Processing Systems. 2017-December, p. 4130-4139 10 p.Research output: Contribution to journal › Conference article › peer-review
128 Scopus citations -
2016
Avoiding optimal mean robust PCA/2DPCA with non-greedy ℓ1-norm maximization
Luo, M., Nie, F., Chang, X., Yang, Y., Hauptmann, A. & Zheng, Q., 2016, In: IJCAI International Joint Conference on Artificial Intelligence. 2016-January, p. 1802-1808 7 p.Research output: Contribution to journal › Conference article › peer-review
42 Scopus citations -
Parameter-free auto-weighted multiple graph learning: A framework for multiview clustering and semi-supervised classification
Nie, F., Li, J. & Li, X., 2016, In: IJCAI International Joint Conference on Artificial Intelligence. 2016-January, p. 1881-1887 7 p.Research output: Contribution to journal › Conference article › peer-review
641 Scopus citations -
Robust and sparse fuzzy k-means clustering
Xu, J., Han, J., Kai, X. & Nie, F., 2016, In: IJCAI International Joint Conference on Artificial Intelligence. 2016-January, p. 2224-2230 7 p.Research output: Contribution to journal › Conference article › peer-review
126 Scopus citations -
2014
In defense of iterated conditional mode for hyperspectral image classification
Lin, J., Wang, Q. & Yuan, Y., 3 Sep 2014, In: Proceedings - IEEE International Conference on Multimedia and Expo. 2014-September, Septmber, 6890171.Research output: Contribution to journal › Conference article › peer-review