Publication & Patent@ThinkLab

Partial List of Publications

Combinatorial optimization and learning (e.g. graph matching):

严骏驰, 杨小康
计算机视觉中图匹配研究进展: 从二图匹配迈向多图匹配.
控制理论与应用 (CCTA), 2018年第十二期 [pdf], 2018
J. Ma, X. Jiang, A. Fan, J. Jiang, Junchi Yan (correspondence)
Image Matching from Handcrafted to Deep Features: A Survey.
International Journal of Computer Vision (IJCV) 129, 23–79, 2021
R. Wang, Junchi Yan (correspondence), X. Yang
Combinatorial Learning of Robust Deep Graph Matching: an Embedding based Approach.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2020, DOI: 10.1109/TPAMI.2020.3005590 [project page]
Z. Jiang, T. Wang, Junchi Yan (correspondence)
Unifying Offline and Online Multi-graph Matching via Finding Shortest Paths on Supergraph.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021, 43(10): 3648-3663
R. Wang, Junchi Yan (correspondence), X. Yang
Unsupervised Learning of Graph Matching with Mixture of Modes via Discrepancy Minimization.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023, DOI: /TPAMI.2023. [project page]
R. Wang, Junchi Yan (correspondence), X. Yang
Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2022, 44(9): 5261-5279 [arxiv] [project page]
Junchi Yan, M. Cho, H. Zha, X. Yang, S. Chu
Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016, 38(6): 1228-1242
code
J. Sheng, X. Wang, B. Jin, Junchi Yan , W. Li, T. H. Chang, J. Wang, H. Zha
Learning Structured Communication for Multi-agent Reinforcement Learning.
Autonomous Agents and Multi-Agent Systems (AAMAS) 2021 [arxiv]
W. Li, B. Jin, X. Wang, Junchi Yan, H. Zha
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning.
Journal of Machine Learning Research (JMLR) 2023 [arxiv]
X. Yang, Junchi Yan (correspondence), Y. Cheng, Y. Zhang.
Learning Deep Generative Clustering via Mutual Information Maximization.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.
T. Zhang, Q. Wu, Junchi Yan (correspondence).
Learning High-Order Graph Convolutional Networks via Adaptive Layerwise Aggregation Combination.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021, DOI: 10.1109/TNNLS.2021.3119958.
Y. Hua, X. Wang, B. Jin, W. Li, Junchi Yan, X. He, H. Zha
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem.
Knowledge Discovery and Data Mining Conference (SIGKDD), 2021
C. Li, X. Wang, W. Dong, Junchi Yan, Q. Liu, H. Zha
Joint Active Learning with Feature Selection via CUR Matrix Decomposition.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019, 41 (6), 1382-1396
Junchi Yan, C. Li, Y. Li, G. Cao
Adaptive Discrete Hypergraph Matching.
IEEE Transactions on Cybernetics (TCYB), 2018, 48(2): 765-779
Junchi Yan, J. Wang, H. Zha, X. Yang, S. Chu.
Consistency-Driven Alternating Optimization for Multigraph Matching: A Unified Approach.
IEEE Transactions on Image Processing (TIP), 2015, 24(3): 994-1009.
code
Junchi Yan, Z. Ren, H. Zha, S. Chu.
A Constrained Clustering based Approach for Matching a Collection of Feature Sets,.
IEEE International Conference on Pattern Recognition (ICPR), 2016.
Junchi Yan, X. Yin, W. Lin, C. Deng, H. Zha, X. Yang.
A Short Survey of Recent Advances in Graph Matching.
ACM International Conference on Multimedia Retrieval (ICMR oral), 2016.
H. Xiong, Junchi Yan (correspondence), Z. Huang.
Learning Regularized Noise Contrastive Estimation for Robust Network Embedding.
IEEE Transactions on Knowledge Discovery and Data Engineering (TKDE), 2022, DOI: 10.1109/TKDE.2022.3148284
X. Du, Junchi Yan (correspondence), R. Zhang, H. Zha.
Cross-network Skip-gram Embedding for Joint Network Alignment and Link Prediction.
IEEE Transactions on Knowledge Discovery and Data Engineering (TKDE), 2022, 34(3): 1080-1095.
code
H. Xiong, Junchi Yan (correspondence).
BTWalk: Branching Tree Random Walk for Multi-order Structured Network Embedding.
IEEE Transactions on Knowledge Discovery and Data Engineering (TKDE), 2022, 34(8): 3611 - 3628.
Z. Chen. Z. Xie, Junchi Yan (correspondence), Y. Zheng, X. Yang.
Layered Neighborhood Expansion for Incremental Multiple Graph Matching.
European Conference on Computer Vision (ECCV), 2020.
Q. Ren, Q. Bao, R. Wang, Junchi Yan (correspondence).
Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Junchi Yan, S. Yang, E. Hancock.
Learning Graph Matching and Related Combinatorial Optimization Problems.
International Joint Conferences on Artificial Intelligence (IJCAI), 2020.
R. Wang, H. Hua, G. Liu, J. Zhang, Junchi Yan (correspondence), F. Qi, S. Yang, X. Yang
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs.
Neural Information Processing Systems (NeurIPS), 2021
Q. Wu, C. Yang, Junchi Yan (correspondence).
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach.
Neural Information Processing Systems (NeurIPS), 2021
R. Chen, Junchi Yan (correspondence).
On Joint Learning for Solving Placement and Routing in Chip Design.
Neural Information Processing Systems (NeurIPS), 2021
R. Chen, X. Lv, Y. Li, J. Ye, J. Hao, Junchi Yan (correspondence).
The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design.
Neural Information Processing Systems (NeurIPS), 2022
Q. Wu, W. Zhao, Z. Li, D. Wipf, Junchi Yan (correspondence).
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification.
Neural Information Processing Systems (NeurIPS), 2022
N. Yang, K. Zeng, Q. Wu, X. Jia, Junchi Yan (correspondence)
Learning Substructure Invariance for Out-of-Distribution Molecular Representations.
Neural Information Processing Systems (NeurIPS), 2022
N. Yang, K. Zeng, Q. Wu, Junchi Yan (correspondence)
MoleRec: Enhancing Medication Combination Recommendation with Substructure-Aware Molecule Learning.
The ACM Web Conference (TheWebConf), 2023
XY. Xie, H. Lu, Junchi Yan, X. Yang, M. Tomizuka, W. Zhan
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
X. Jia, P. Wu, L. Chen, J. Xie, C. He, Junchi Yan (correspondence), H. Li
Think Twice before Driving: Future Conditioned Coarse-to-Fine Prediction for End-to-End Autonomous Driving.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
J. Zeng, L. Chen, H. Deng, L. Lu, Junchi Yan, Y. Qiao, H. Li
Distilling Focal Knowledge from Imperfect Expert.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
X. Wang, W. Guo, J. Su, X. Yang, Junchi Yan (correspondence)
ZARTS: On Zero-order Optimization for Neural Architecture Search.
Neural Information Processing Systems (NeurIPS), 2022
Y. Li, Y. Mo, L. Shi, Junchi Yan (correspondence).
Improving Generative Adversarial Networks via Adversarial Learning in Latent Space .
Neural Information Processing Systems (NeurIPS), 2022
Y. Chen, Q. Ren, Junchi Yan (correspondence).
Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain.
Neural Information Processing Systems (NeurIPS), 2022
Z. Li, Q. Wu, F. Nie, Junchi Yan (correspondence).
GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs.
Neural Information Processing Systems (NeurIPS), 2022
Y. Tang, Junchi Yan (correspondence).
GraphQNTK: the Quantum Neural Tangent Kernel for Graph Data.
Neural Information Processing Systems (NeurIPS), 2022.
C. Yang, Q. Wu, Junchi Yan (correspondence).
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks.
Neural Information Processing Systems (NeurIPS), 2022.
R. Wang, Junchi Yan (correspondence), X. Yang.
Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning.
Neural Information Processing Systems (NeurIPS), 2020
Q. Wu, H. Zhang, Junchi Yan (correspondence), D. Wipf
Handling Distribution Shifts on Graphs: An Invariance Perspective
International Conference on Learning Representation (ICLR), 2022.
G. Yan, Y. Tang, Junchi Yan (correspondence).
Towards a Native Quantum Paradigm for Graph Representation Learning: a Sampling-based Recurrent Embedding Approach.
Knowledge Discovery and Data Mining Conference (SIGKDD), 2022.
S. Zhang, M. Liu, Junchi Yan (correspondence), H. Zhang, L. Huang, P. Lu, X. Yang.
m-mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning.
Knowledge Discovery and Data Mining Conference (SIGKDD), 2022.
D. Lao, X. Yang, Q. Wu, Junchi Yan (correspondence).
Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation.
Knowledge Discovery and Data Mining Conference (SIGKDD), 2022.
C. Yang, Q. Wu, J. Wang, Junchi Yan
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and Multi-Layer Perceptrons .
International Conference on Learning Representation (ICLR), 2023.
Q. Ren, Y. Chen, Y. Mo, Q. Wu, Junchi Yan (correspondence).
DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness.
Knowledge Discovery and Data Mining Conference (SIGKDD), 2022.
C. Xue, X. Wang, Junchi Yan, C. Li.
A Max-Flow based Approach for Neural Architecture Search .
European Conference on Computer Vision (ECCV), 2022.
S. Hu, L. Chen, P. Wu, H. Li, Junchi Yan, D. Tao.
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning .
European Conference on Computer Vision (ECCV), 2022.
P. Wu, L. Chen, H. Li, X. Jia, Junchi Yan, Y. Qiao.
Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling .
International Conference on Learning Representation (ICLR), 2023.
L. Chen, C. Sima, Y. Li, Z. Zheng, J. Xu, X. Geng, H. Li, C. He, J. Shi, Y. Qiao, Junchi Yan
PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark.
European Conference on Computer Vision (ECCV), 2022.
C. Liu, S. Zhang, X. Yang, Junchi Yan (correspondence)
Self-supervised Learning of Visual Graph Matching.
European Conference on Computer Vision (ECCV), 2022.
J. Hu, H. Zhong, G. Wu, F. Yang, S. Gong, Junchi Yan
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling.
European Conference on Computer Vision (ECCV), 2022.
Y. Luo, J. Zhu, K. He, W. Chu, Y. Tai, Junchi Yan (correspondence), C. Wang.
StyleFace: Towards Identity-Disentangled Face Generation on Megapixels.
European Conference on Computer Vision (ECCV), 2022.
X. Wang, J. Lin, J. Zhao, X. Yang, Junchi Yan (correspondence).
EAutoDet: Efficient Architecture Search for Object Detection.
European Conference on Computer Vision (ECCV), 2022.
F. Ding, Junchi Yan (correspondence), H. Wang
c-NTPP: Learning Event-Clustered Neural Temporal Point Process.
AAAI Conferenc on Artificial Intelligence (AAAI), 2023.
X. Wang, S. Chen, Y. He, M. Wang, Q. Gan, Junchi Yan
CEP3: Community Event Prediction with Neural Point Process on Graph.
The First Learning on Graphs Conference(LoG), 2023.
C. Liu, C. Lou, R. Wang, A. Xi, L. Shen, Junchi Yan (correspondence).
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning.
International Conference on Machine Learning (ICML), 2022.

R. Chen, Z. Li, J. Li, C. Wu, Junchi Yan .
On Collective Robustness of Bagging Against Data Poisoning.
International Conference on Machine Learning (ICML), 2022.

Y. He, Q. Gan, D. Wipf, G. Reinert, Junchi Yan , M. Cucuringu.
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks.
International Conference on Machine Learning (ICML), 2022.
T. Yu, R. Wang, Junchi Yan (correspondence), B. Li.
Deep Latent Graph Matching.
International Conference on Machine Learning (ICML), 2021.
X. Yang, C. Deng, Z. Dang, K. Wei, Junchi Yan,
SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
廖文龙, 赵华卿, 严骏驰 (通讯作者)
开放道路场景下结合高精度地图的鲁棒在线相机外参数标定.
中国图象图形学报 (JIG), 2020
C. Li, F. Wei, W. Dong, X. Wang, Junchi Yan (correspondence), X. Zhu, Q. Liu, X. Zhang.
Spatially Regularized Streaming Sensor Selection.
AAAI Conference on Artificial Intelligence (AAAI), 2016.
Q. Wu, H. Zhang, X. Gao, Junchi Yan , H. Zha.
Towards Open-World Recommender Systems: A Model-based Collaborative Filtering Approach.
International Conference on Machine Learning (ICML), 2021.
Z. Ren, W. Luo, Junchi Yan (correspondence), W. Liao, X. Yang, A. Yuille, H. Zha.
STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels.
IEEE Transactions on Image Processing (TIP), 2020
Z. Ren, Junchi Yan (correspondence), X. Yang, A. Yuille, H. Zha.
Unsupervised Learning of Optical Flow With Patch Consistency and Occlusion Estimation.
Pattern Recognition (PR), 2020, xx(x): xxxx
X. Yang, C. Deng, K. Wei, Junchi Yan, W. Liu.
Adversarial Learning for Robust Deep Clustering.
Neural Information Processing Systems (NeurIPS), 2020
C. Liu, Z. Jiang, R. Wang, L. Huang, P. Lu, Junchi Yan (correspondence)
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching.
International Conference on Learning Representation (ICLR), 2023.
H. Lu, Z. Li, R. Wang, Q. Ren, X. Li, M. Yuan, J. Zeng, X. Yang, Junchi Yan (correspondence)
ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs.
International Conference on Learning Representation (ICLR), 2023.
R. Wang, L. Shen, Y. Chen, X. Yang, D. Tao, Junchi Yan (correspondence)
One-shot Neural Combinatorial Optimization Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case.
International Conference on Learning Representation (ICLR), 2023.
Y. Zhang, Junchi Yan (correspondence)
Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting.
International Conference on Learning Representation (ICLR), 2023 (oral).
R. Wang, Z. Guo, S. Jiang, X. Yang, Junchi Yan (correspondence).
Deep Learning of Partial Graph Matching via Differentiable Top-K.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
R. Wang, T. Zhang, T. Yu, Junchi Yan (correspondence), X. Yang.
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
T. Yu, Junchi Yan, B. Li
Determinant Regularization for Gradient-Efficient Graph Matching.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
T. Wang, Z. Jiang, Junchi Yan (correspondence).
Clustering-aware Multiple Graph Matching via Decayed Pairwise Matching Composition.
AAAI Conference on Artificial Intelligence (AAAI), 2020.
G. Wang, Q. Zhen, Junchi Yan, L. Jiang.
Learning to Select Elements for Graphic Design.
ACM International Conference on Multimedia Retrieval (ICMR), 2020.
C. Xue, X. Wang, Junchi Yan (correspondence), Y. Hu, X. Yang, K. Sun.
Rethinking Bi-Level Optimization in Neural Architecture Search: a Gibbs Sampling Perspective.
AAAI Conference on Artificial Intelligence (AAAI), 2021.
X. Chu, X. Wang, B. Zhang, S. Lu, X. Wei, Junchi Yan
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators.
International Conference on Learning Representation (ICLR), 2021.
Z. Gao, Junchi Yan , G. Zhai, J. Zhang, Y. Yang, X. Yang.
Learning Local Neighboring Structure for Robust 3D Shape Representation.
AAAI Conference on Artificial Intelligence (AAAI), 2021.
Junchi Yan, H. Xu, H. Zha, X. Yang, S. Chu.
A Matrix Decomposition Perspective to Multiple Graph Matching.
IEEE International Conference on Computer Vision (ICCV), 2015.
Junchi Yan, C. Zhang, H. Zha, W. Liu, X. Yang, S. Chu.
Discrete Hyper-graph Matching.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
Junchi Yan, J. Wang, H. Zha, X. Yang, S. Chu.
Multi-view Point Registration via Alternating Optimization.
AAAI Conference on Artificial Intelligence (AAAI), 2015.
Junchi Yan, Y. Li, W. Liu, H. Zha, X. Yang, S. Chu.
Graduated Consistency-regularized Optimization for Multi-graph Matching.
European Conference on Computer Vision (ECCV), 2014.
Junchi Yan, Y. Tian, H. Zha, X. Yang, Y. Zhang, S. Chu.
Joint Optimization for Consistent Multiple Graph Matching.
IEEE International Conference on Computer Vision (ICCV), 2013.
Y. Tian, Junchi Yan (correspondence), H. Zhang, Y. Zhang, X. Yang, H. Zha.
On the Convergence of Graph Matching: Graduated Assignment Revisited.
European Conference on Computer Vision (ECCV), 2012.
T. Yu, Junchi Yan (correspondence), J. Zhao, B. Li.
Joint Cuts and Matching of Partitions in One Graph.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
T. Yu, R. Wang, Junchi Yan, B. Li
Learning deep graph matching with channel-independent embedding and Hungarian attention
International Conference on Learning Representations (ICLR), 2020.
R. Wang, Junchi Yan (correspondence), X. Yang
Learning Combinatorial Embedding Networks for Deep Graph Matching
International Conference on Computer Vision (ICCV Oral), 2019.
T. Yu, Junchi Yan, W. Liu, B. Li.
Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering .
European Conference on Computer Vision (ECCV), 2018.
X. Du, Junchi Yan (correspondence), H. Zha.
Joint Link Prediction and Network Alignment via Cross-graph Embedding.
International Joint Conferences on Artificial Intelligence (IJCAI), 2019.
dataset
R. Xu, C. Li, Junchi Yan, C. Deng, X. Liu.
Graph Convolutional Network Hashing for Cross-Modal Retrieval.
International Joint Conferences on Artificial Intelligence (IJCAI), 2019.
S. Yang, J. Tian, H. Zhang, Junchi Yan (correspondence), H. He, Y. Jin.
TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics.
International Joint Conferences on Artificial Intelligence (IJCAI), 2019.
S. Zhang, M. Liu, Junchi Yan (correspondence).
The Diversified Ensemble Neural Network.
Neural Information Processing Systems (NeurIPS), 2020.
T. Yu, Junchi Yan, Y. Wang, W. Liu, B. Li.
Generalizing Graph Matching beyond Quadratic Assignment Model.
Neural Information Processing Systems (NIPS), 2018.
Z. Ren, Junchi Yan (correspondence), B. Ni, B. Liu, H. Zha, X. Yang.
Unsupervised Deep Learning for Optical Flow Estimation.
AAAI Conference on Artificial Intelligence (AAAI), 2017.
C. Xue, Junchi Yan, R. Yan, S. Chu, Y. Lin, Y. Hu.
Transferable AutoML by Model Sharing over Grouped Datasets.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
X. Yang, C. Deng, F. Zheng, Junchi Yan, W. Liu.
Deep Spectral Clustering using Dual Autoencoder Network.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Y. Shen, W. Lin, Junchi Yan, M. Xu, J. Wu, J. Wang.
Person re-identification with correspondence structure learning.
IEEE International Conference on Computer Vision (ICCV), 2015.
W. Lin, Y. Shen, Junchi Yan, M. Xu, J. Wu, J. Wang.
Learning Correspondence Structures for Person Re-identification.
IEEE Transactions on Image Processing (TIP), 2017, 26(5): 2438-2453
H. Xiao, W. Lin, B. Sheng, K. Lu, Junchi Yan, J. Wang, E. Ding, Y. Zhang, H. Xiong.
Group Re-Identification: Leveraging and Integrating Multi-Grain Information.
ACM Multimedia (MM), 2018.
Z. Xiong, L. Li, Junchi Yan, H. Wang, H. He, Y. Jin.
Differential Privacy with Variant-Noise for Gaussian Processes Classification.
Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2019.
Y. Wang, C. Sun, Y. Wu, Junchi Yan (correspondence), P. Gao, G. Xie
Pre-training Entity Relation Encoder with Intra-span and Inter-span
Empirical Methods in Natural Language Processing（EMNLP), 2020.
X. Wang. Junchi Yan, B. Jin., W. Li.
Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem.
IEEE Transactions on Cybernetics (TCYB), 2021, 51(9): 4540-4552.
X. Wang, W. Zhang, Junchi Yan, X. Yuan, H. Zha
On the Flexibility of Block Coordinate Descent for Large-Scale Optimization.
Neurocomputing (NC), 2018.
Z. Zhang, W. Zhu, Junchi Yan, P. Gao and G. Xie
Automatic Student Network Search for Knowledge Distillation.
International Conference on Pattern Recognition (ICPR), 2020.
X. Wang, C. Xue, Junchi Yan (correspondence), X. Yang, Y. Hu, K. Sun.
MergeNAS: Merge Operations into One for Differentiable Architecture Search.
International Joint Conferences on Artificial Intelligence (IJCAI), 2020.
Y. Wang, J. Huang, W. Dong, Junchi Yan, C. Tian, M. Li, W. Mo.
Two-stage based Ensemble Optimization Framework for Large-scale Global Optimization.
European Journal of Operational Research (EJOR), 2013, 228 (2), 308-320.

Perception and learning (e.g. object detection):

杨学, 严骏驰 (通讯作者)
基于特征对齐和高斯表征的视觉有向目标检测.
中国科学: 信息科学 (SSI), 2023年 [pdf], 2023
X. Yang, Junchi Yan (correspondence)
On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited.
International Journal of Computer Vision (IJCV) 130, 1340–1365, 2022 [project page]
X. Yang, Junchi Yan (correspondence), W. Liao, X. Yang, J. Tang, T. He
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(2), 2384-2399, 2023 [project page]
X. Yang, G. Zhang, X. Yang, Y. Zhou, W. Wang, T. He, J. Tang, Junchi Yan (correspondence)
Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2022 DOI: 10.1109/TPAMI.2022.3197152
X. Yang, Y. Zhou, G. Zhang, J. Yang, W. Wang, Junchi Yan (correspondence), X. Zhang, Q. Tian
The KFIoU Loss for Rotated Object Detection.
International Conference on Learning Representation (ICLR), 2023.
X. Yang, G. Zhang, W. Li, Y. Zhou, X. Wang, Junchi Yan (correspondence)
H2RBox: Horizonal Box Annotation is All You Need for Oriented Object Detection.
International Conference on Learning Representation (ICLR), 2023.
X. Yu, P. Chen, D. Wu, N. Hassan, G. Li, Junchi Yan, H. Shi, Q. Ye, Z. Han
Object Localization under Single Coarse Point Supervision.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
L. Liu, Y. Chen, Junchi Yan (correspondence), Y. Zheng,
Optimal LED Spectral Multiplexing for NIR2RGB Translation.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Z. Gao, Junchi Yan (correspondence), G. Zhai, X. Yang.
Robust Mesh Representation Learning via Efficient Local Structure-aware Anisotropic Convolution.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
C. Chen, H. Geng, G. Zeng, Z. Han, H. Chai, X. Yang, Junchi Yan (correspondence),
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution.
International Conference on Learning Representation (ICLR), 2023.
Q. Wu, Y. Chen, C. Yang, Junchi Yan (correspondence),
Energy-based Out-of-Distribution Detection for Graph Neural Networks.
International Conference on Learning Representation (ICLR), 2023.
Q. Wu, C. Yang, W. Zhao, Y. He, D. Wipf, Junchi Yan (correspondence),
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion.
International Conference on Learning Representation (ICLR), 2023 (spotlight).
S. Zhang, F. Zhu, R. Zhao, Junchi Yan (correspondence)
Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning.
International Conference on Learning Representation (ICLR), 2023.
S. Zhang, F. Zhu, R. Zhao, Junchi Yan (correspondence)
Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining.
International Conference on Learning Representation (ICLR), 2023.
S. Zhang, L. Qiu, F. Zhu, Junchi Yan (correspondence), H. Zhang, R. Zhao, H. Li, X. Yang,
Align Representations with Base: A New Approach to Self-Supervised Learning.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
S. Zhang, F. Zhu, Junchi Yan (correspondence), R. Zhao, X. Yang
Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning
International Conference on Learning Representation (ICLR), 2022.
X. Yang, Y. Wang, J. Sun, X. Zhang, S. Zhang, Z. Li, Junchi Yan (correspondence)
Nonlinear ICA Using Volume-Preserving Transformations.
International Conference on Learning Representation (ICLR), 2022.
R. Chen, J. Li, Junchi Yan, P. Li, B. Sheng.
Input-specific Robustness Certification for Randomized Smoothing.
AAAI Conference on Artificial Intelligence (AAAI), 2022.
N. Liao, Y. Liu, X. Li, C. Lei, G. Wang, X. Hua, Junchi Yan (correspondence).
CoHOZ: Contrastive Multimodal Prompt Tuning for Hierarchical Open-set Zero-shot Recognition.
ACM Multimedia (MM), 2022.
Y. Zhou, X. Yang, G. Zhang, Junchi Yan (correspondence) et al.
MMRotate: A Rotated Object Detection Benchmark using Pytorch.
ACM Multimedia (MM), 2022 (OS Track).
X. Chen, W. Liao, B. Liu, Junchi Yan (correspondence), T. He,
OpenDenseLane: a New LiDAR-based dataset for HD map construction.
IEEE International Conference on Multimedia and Expo (ICME), 2022.
W. Liao, X. Chen, W. Zhang, H. Liu, Junchi Yan (correspondence), Y. Lou, T. Xue, S. Mei
Trajectory Prediction from Ego View: a Coordinate Transform and Tail-light Event Driven Approach.
IEEE International Conference on Multimedia and Expo (ICME), 2022.
G. Wang, X. Wu, Z. Liu, Junchi Yan (correspondence).
Prompt-based Zero-shot Video Moment Retrieval.
ACM Multimedia (MM), 2022.
Q. Zhang, Y. Li, Y. Luo, W. Shou, M. Foshey, Junchi Yan, J. Tenenbaum, W. Matusik, A. Torralba
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing.
International Conference on Intelligent Robots and Systems (IROS), 2021
X. Yang, X. Yang, J. Yang, Q. Ming, W. Wang, Q. Tian, Junchi Yan (correspondence).
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence.
Neural Information Processing Systems (NeurIPS), 2021
H. Zhang, Q. Wu, Junchi Yan, D. Wipf, P. S. Yu,
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks.
Neural Information Processing Systems (NeurIPS), 2021
W. Lin, Y. Zhou, H. Xu, Junchi Yan, M. Xu, J. Wu, Z. Liu.
A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017, 39(8): 1489-1503
C. Yang, X. Yin, W. Pei, S. Tian, C. Yang, Z. Zuo, C. Zhu, Junchi Yan.
Tracking Based Multi-Orientation Scene Text Detection: A Unified Framework With Dynamic Programming.
IEEE Transactions on Image Processing (TIP), 2017, 26(7): 3235-3248
Q. Wen, X. Yang, S. Peng, M. Song, Junchi Yan.
RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022
M. Wu, B. Jiang, D. Luo, Junchi Yan (correspondence), Y. Wang, Y. Tai, C. Wang, J. Li, F. Huang, X. Yang.
Learning Comprehensive Motion Representation for Action Recognition.
AAAI Conference on Artificial Intelligence (AAAI), 2021.
W. Qian, X. Yang, S. Peng, Junchi Yan, Y. Guo.
Learning Modulated Loss for Rotated Object Detection.
AAAI Conference on Artificial Intelligence (AAAI), 2021.
X. Yang, Junchi Yan (correspondence), Z. Feng, T. He.
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object.
AAAI Conference on Artificial Intelligence (AAAI), 2021.
X. Yang, J. Yang, Junchi Yan (correspondence), Y. Zhang, T. Zhang, Z. Guo, X. Sun, K. Fu
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects
International Conference on Computer Vision (ICCV), 2019.
H. Wang, C. Deng, Junchi Yan, D. Tao.
Asymmetric Cross-guided Attention Network for Actor and Action Video Segmentation from Natural Language Query .
International Conference on Computer Vision (ICCV), 2019.
Junchi Yan, J. Song, Y. Liu.
Simultaneous 3-D Human-motion Tracking and Voxel Reconstruction.
Optical Engineering (OE), 2010, 49 (9), 097201-097201-10.
Junchi Yan, M. Zhu, H. Liu, Y. Liu.
Visual Saliency Detection via Sparsity Pursuit.
IEEE Signal Processing Letters (SPL), 2010, 17 (8), 739-742.
Junchi Yan, S. Shen, Y. Li, Y. Liu.
An optimization based Framework for Human Pose Estimation.
IEEE Signal Processing Letters (SPL), 2010, 17 (8), 766-769.
G. Wang, Junchi Yan, Z. Qin.
Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment.
International Joint Conferences on Artificial Intelligence (IJCAI), 2018.
C. Zhang, Junchi Yan (correspondence), C. Li, R. Bie
Contour Detection via Stacking Random Forest Learning.
Neurocomputing (NC), 2018.
J. Yi, Q. Lei, W. Gifford, J. Liu, Junchi Yan, B. Zhou.
Inferring Users’ Location Categories from Highly Inaccurate Mobility Data: A Negative Unlabeled Tensor Factorization Approach.
SIAM Conference on Data Mining (SDM), 2019.
C. Wang, Junchi Yan, A. Zhou, X. He.
Transductive Non-linear Learning for Chinese Hypernym Prediction.
Annual Meeting of the Association for Computational Linguistics (ACL), 2017.
H. Xu, Junchi Yan (correspondence), N. Persson, W. Lin, H. Zha.
Fractal Dimension Invariant Filtering and Its CNN-based Implementation.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
C. Li, Junchi Yan (correspondence), F. Wei, W. Dong, Q. Liu, H. Zha.
Self-paced Multi-task Learning.
AAAI Conference on Artificial Intelligence (AAAI), 2017.
C. Zhang, Junchi Yan, C. Li, X. Rui, L. Liu, F. Bie.
On Estimating Air Pollution from Photos Using Convolutional Neural Network.
ACM Multimedia (MM short paper), 2016.
Y. Li, Junchi Yan, Y. Zhou, J. Yang.
Optimum Subspace Learning and Error Correction for Tensors.
European Conference on Computer Vision (ECCV), 2010.
C. Li, F. Wei, Junchi Yan (correspondence), X. Zhang, Q. Liu, H. Zha.
A Self-Paced Regularization Framework for Multi-Label Learning.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018, 29 (6), 2660-2666.
J. Wang, X. Wang, B. Jin, Junchi Yan, W. Zhang, H. Zha
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning.
International Conference on Pattern Recognition (ICPR), 2020.
M. Li, C. Deng, T. Li, Junchi Yan, X. Gao, H. Huang
Towards Transferable Targeted Attack.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (spotlight), 2020.
Z. Gao, Junchi Yan (correspondence), G. Zhai, X. Yang.
Learning Spectral Dictionary for Local Representation of Mesh.
International Joint Conferences on Artificial Intelligence (IJCAI), 2021.
X. Yang, Junchi Yan (correspondence), Q. Ming, W. Wang, X. Zhang, Q. Tian.
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss.
International Conference on Machine Learning (ICML), 2021.
Y. Wang, C. Sun, Y. Wu, H. Zhou, L. Li, Junchi Yan (correspondence).
UniRE: A Unified Label Space for Entity Relation Extraction
Joint Conference of Annual Meeting of the Association for Computational Linguistics (ACL), 2021.
B. Sun, Junchi Yan, Y. Zheng, X. Zhou.
Tuning IR-cut Filter for Illumination-aware Spectral Reconstruction from RGB.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (oral), 2021.
X. Yang, L. Hou, Y. Zhou, W. Wang, Junchi Yan (correspondence).
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Y. Luo, Y. Zhang, Junchi Yan (correspondence), W. Liu,
Generalizing Face Forgery Detection with High-frequency Features.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
X. Yang, Junchi Yan (correspondence).
Arbitrary-Oriented Object Detection with Circular Smooth Label.
European Conference on Computer Vision (ECCV), 2020.
N. Zhang, Junchi Yan (correspondence).
Rethinking the Defocus Blur Detection Problem and A Real-Time Deep DBD Model.
European Conference on Computer Vision (ECCV), 2020.
J. Zhu, L. Shi, Junchi Yan (correspondence), H. Zha.
AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning.
European Conference on Computer Vision (ECCV), 2020.
J. Hu, H. Tuo, C. Wang, L. Qiao, H. Zhong, Junchi Yan, Z. Jing, H. Leung.
Discriminative Partial Domain Adversarial Network.
European Conference on Computer Vision (ECCV), 2020.
X. Wang, Q. Wang, Y. Zhao, Junchi Yan, L. Fan, L. Chen.
Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning.
Asian Conference on Computer Vision (ACCV), 2020.
M. Yang, C. Deng, Junchi Yan, X. Liu, D. Tao
Learning Unseen Concepts via Hierarchical Decomposition and Composition.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
W. Zhang, Junchi Yan, X. Wang, H. Zha.
Deep Extreme Multi-Label Learning.
ACM International Conference on Multimedia Retrieval (ICMR oral), 2018.
C. Chen, D. Li, Q. Lv, Junchi Yan (mentor), L. Shang, S. Chu.
GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering.
AAAI Conference on Artificial Intelligence (AAAI), 2017.
C. Chen, D. Li, Junchi Yan (correspondence), H. Huang, X. Yang.
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Processing and Analysis.
AAAI Conference on Artificial Intelligence (AAAI), 2021.
D. Li, C. Chen, Q. Lv, Junchi Yan, L. Shang, S. Chu.
Low-Rank Matrix Approximation with Stability.
International Conference on Machine Learning (ICML), 2016.
C. Chen, D. Li, Q. Lv, Junchi Yan (mentor), S. Chu, L. Shang.
MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering.
International Joint Conferences on Artificial Intelligence (IJCAI), 2016.
A. Zhang, N. Li, J. Pu, J. Wang, Junchi Yan, H. Zha.
τ-FPL: Tolerance-Constrained Learning in Linear Time.
AAAI Conference on Artificial Intelligence (AAAI), 2018.
C. Deng, X. Tang, Junchi Yan, W. Liu, X. Gao.
Discriminative Dictionary Learning With Common Label Alignment for Cross-Modal Retrieval.
IEEE Transactionson on Multimedia (TMM), 2016.
C. Chen, H. Zhang, D. Li, Junchi Yan, X. Yang
Synergizing Local and Global Models for Matrix Approximation .
ACM International Conference on Conference on Knowledge Management (CIKM), 2019.
W. Dong, R. Yao, C. Ma, C. Li, L. Shi, L. Wang, Y. Wang, P. Gao, Junchi Yan.
Maximizing Multi-scale Spatial Statistical Discrepancy.
ACM International Conference on Conference on Knowledge Management (CIKM), 2014.
Junchi Yan.
Improving Mobile Robot Localization: Grid-based Approach.
Optical Engineering (OE), 2012, 51(2), 024401.
X. Chen, Y. Zhang, Q. Ai, H. Xu, Junchi Yan, Z. Qin.
Personalized Key Frame Recommendation.
ACM SIG Information Retrieval (SIGIR), 2017.

Temporal and sequence learning (e.g. temporal point process):

S. Li, M. Feng, L. Wang, A. Essofi, Y. Cao, Junchi Yan , L. Song
Explaining Point Processes by Learning Interpretable Temporal Logic Rules.
International Conference on Learning Representation (ICLR), 2022.
L. Li, J. Yao, L. K. Wenliang, T. He, T. Xiao, Junchi Yan (correspondence), D. Wipf, Z. Zhang.
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction.
Neural Information Processing Systems (NeurIPS), 2021
C. Chen, H. Geng, N. Yang, Junchi Yan (correspondence), D. Xue, J. Yu, X. Yang.
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation.
International Conference on Machine Learning (ICML), 2021.
L. Li, Junchi Yan (correspondence), H. Wang, Y. Jin.
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021, 32 (3), 1177-1191.
X. Jia, L. Chen, P. Wu, J. Zeng, Junchi Yan (correspondence), H. Li, Y. Qiao
Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach.
Conference on Robotic Learning (CoRL), 2022
P. Wu, X. Jia, L. Chen, Junchi Yan (correspondence), H. Li, Y. Qiao
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.
Neural Information Processing Systems (NeurIPS), 2022
C. Yang, Q. Wu, Q. Wen, Z. Zhou, L. Sun, Junchi Yan (correspondence).
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment.
Neural Information Processing Systems (NeurIPS), 2022
T. Zhang, Q. Wu, Junchi Yan (correspondence)
ScaleGCN: Efficient and Effective Graph Convolution via Channel-wise Scale Transformation .
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI: 10.1109/TNNLS.2022.3199390, 2022.
Y. Zhang, Junchi Yan (correspondence), X. Zhang, J. Zhou, X. Yang
Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering.
International Joint Conferences on Artificial Intelligence (IJCAI), 2022.
Y. Zhang, Junchi Yan (correspondence).
Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph.
International Joint Conferences on Artificial Intelligence (IJCAI), 2021.
L. Li, J. Zhang, Junchi Yan (correspondence), Y. Jin, Y. Zhang, Y. Duan, G. Tian.
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting.
AAAI Conference on Artificial Intelligence (AAAI), 2021.
H. Xiong, Junchi Yan (correspondence), L. Pan.
Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment.
Knowledge Discovery and Data Mining Conference (SIGKDD), 2021.
L. Li, Junchi Yan (correspondence), Y. Zhang, J. Zhang, J. Bao, Y. Jin, X. Yang.
Learning Generative RNN-ODE for Collaborative Time-Series and Event Sequence Forecasting.
IEEE Transactions on Knowledge Discovery and Data Engineering (TKDE), 2022, DOI: 10.1109/TKDE.2022.3185115
L. Li, Junchi Yan (correspondence), Q. Wen, Y. Jin, X. Yang
Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series.
IEEE Transactions on Knowledge Discovery and Data Engineering (TKDE), 2022, DOI: 10.1109/TKDE.2022.3171562
C. Chen, D. Li, Junchi Yan (correspondence), X. Yang.
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation.
IEEE Transactions on Knowledge Discovery and Data Engineering (TKDE), 2022, 34(11): 5446-5458.
Q. Wu, Z. Zhang, X. Gao, Junchi Yan, G. Chen.
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling.
Neural Information Processing Systems (NeurIPS), 2019
S. Xiao, Junchi Yan (correspondence), M. Farajtabar, L. Song, X. Yang, H. Zha.
Learning Time Series Associated Event Sequences with Recurrent Point Process Networks.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019, 30(10): 3124-3136.
W. Wu, Junchi Yan (correspondence), X. Yang, H. Zha.
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model.
IEEE Transactions on Knowledge Discovery and Data Engineering (TKDE), 2022, 34(2): 573-586.
L. Li, Junchi Yan (correspondence), X. Yang, Y. Jin.
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting.
International Joint Conferences on Artificial Intelligence (IJCAI), 2019.
W. Wu, Junchi Yan (correspondence), X. Yang, H. Zha.
Decoupled Learning for Factorial Marked Temporal Point Processes.
Knowledge Discovery and Data Mining Conference (KDD), 2018.
Junchi Yan, X. Liu, L. Shi, C. Li, H. Zha.
Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning.
International Joint Conferences on Artificial Intelligence (IJCAI), 2018.
N. Zhang, Junchi Yan (correspondence), Y. Zhou.
Weakly-supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning.
International Joint Conferences on Artificial Intelligence (IJCAI), 2018.
W. Wang, W. Zhang, J. Wang, Junchi Yan, H. Zha.
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction.
International Joint Conferences on Artificial Intelligence (IJCAI), 2018.
S. Xiao, H. Xu, Junchi Yan (correspondence), M. Farajtabar, X. Yang, L. Song, H. Zha.
Learning Conditional Generative Models for Temporal Point Processes.
AAAI Conference on Artificial Intelligence (AAAI), 2018.
S. Xiao, M. Farajtabar, X. Ye, Junchi Yan, L. Song, H. Zha.
Wasserstein Learning of Deep Generative Point Process Models.
Neural Information Processing Systems (NIPS), 2017.
Junchi Yan, S. Xiao, C. Li, B. Jin, X. Wang, B. Ke, X. Yang, H. Zha.
Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior.
International Joint Conferences on Artificial Intelligence (IJCAI), 2016.
Junchi Yan, C. Zhang, H. Zha, M. Gong, C. Sun, J. Huang, S. Chu, X. Yang.
On Machine Learning towards Predictive Sales Pipeline Analytics.
AAAI Conference on Artificial Intelligence (AAAI), 2015.
Junchi Yan, Y. Wang, K. Zhou, J. Huang, C. Tian, H. Zha, W. Dong.
Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation.
International Joint Conferences on Artificial Intelligence (IJCAI), 2013.
X. Liu, Junchi Yan (correspondence), S. Xiao, X. Wang, H. Zha, S. Chu.
On Predictive Patent Valuation: Forecasting Patent Citations and Their Types.
AAAI Conference on Artificial Intelligence (AAAI), 2017.
S. Xiao, Junchi Yan (correspondence), X. Yang, H. Zha, S. Chu.
Modeling the Intensity Function of Point Process via Recurrent Neural Networks.
AAAI Conference on Artificial Intelligence (AAAI), 2017.
S. Xiao, Junchi Yan (correspondence), C. Li, B. Jin, X. Wang, H. Zha, X. Yang, S. Chu.
On Modeling and Predicting Individual Paper Citation Count over Time.
International Joint Conferences on Artificial Intelligence (IJCAI), 2016.
Junchi Yan, C. Tian, J. Huang, F. Albertao.
Incremental Dictionary Learning for Fault Detection with Applications to Oil Pipeline Leakage Detection.
IET Electronics Letters (EL), 2011, 47 (21), 1198-1199.

U.S. Patent

|| Determining an object referenced within informal online communications, US Patent App. 14/962232

|| Generating a clustering model and clustering based on the clustering model, US Patent App. 14/812141

|| Biased users detection, US Patent App. 14/886426

|| Predicting waiting passenger count and evaluation, US Patent App. 14/722879

|| Analyzing property of protein sequence, US Patent App. 14/669748

|| Identifying subsurface material layer, US Patent App. 14/527272

|| Warping sequence data for learning in neural networks, US Patent App. 16/184180

|| Self-guided object detection in regular images, US Patent App. 16/157418

|| Model based data processing, US010832162

|| Training a self-driving vehicle, US010752239

|| Self-similarity analysis for defect detection on patterned industrial objects, US10726540

|| Interest highlight and recommendation based on interaction in long text reading, US10691893

|| Genome compression and decompression, US10679727

|| Multi-layer information fusing for prediction, US10679143

|| Processing GPS drifting, US10605925

|| Managing gene sequences, US10586609

|| Object detection, US10559078

|| Object classification based on decoupling a background from a foreground of an image, US10692220

|| Optimizing tables with too many columns in a database, US10331639

|| Method and apparatus of data classification for routes in a digitized map, US10436589/10429189

|| Expense compliance checking based on trajectory detection, US10510125

|| Fast joint template machining, US10346716

|| Providing computation services with privacy, US10333715

|| Quality evaluation, US10424059

|| Data cube generation, US9965503

|| Managing task in mobile device, US9722947

|| Location based on call detail record, US9723441

|| Work-piece defect inspection via optical images and ct images, US9721334

|| Method and apparatus for evaluating predictive model, US9684634

|| Method and apparatus for generating data in a missing segment of a time data sequence, US9684872

|| Creating a software performance testing environment on a virtual machine system, US9921939/US9921940

|| Foreign organization name matching, US9659086

|| Building missing movement path of an object, US9644976

|| Pattern recognition based on information integration, US9355332

|| Method and apparatus of determining air quality, US9740967, US9317732

|| Handing off a terminal among wireless access points, US9532285

|| Generating a training model based on feedback, US9659258/10346746

|| Monitoring interesting subjects, US9584608

|| Method and apparatus of estimating wave velocity of negative pressure wave in a fluid transportation pipeline, US9534979