Jianming Wang
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Jianming Wangcomputer-science Degrees
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Computer Science
Jianming Wang's Degrees
- PhD Computer Science University of California, Berkeley
- Masters Computer Science University of California, Berkeley
- Bachelors Computer Science Peking University
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(Suggest an Edit or Addition)Jianming Wang's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Learning Transferable Features with Deep Adaptation Networks (2015) (3679)
- Deep Transfer Learning with Joint Adaptation Networks (2016) (1683)
- Conditional Adversarial Domain Adaptation (2017) (1296)
- Transfer Feature Learning with Joint Distribution Adaptation (2013) (1264)
- Unsupervised Domain Adaptation with Residual Transfer Networks (2016) (1200)
- Transfer Joint Matching for Unsupervised Domain Adaptation (2014) (582)
- Deep Hashing Network for Efficient Similarity Retrieval (2016) (530)
- Multi-Adversarial Domain Adaptation (2018) (515)
- HashNet: Deep Learning to Hash by Continuation (2017) (477)
- Adaptation Regularization: A General Framework for Transfer Learning (2014) (455)
- PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs (2017) (417)
- Semantics-preserving hashing for cross-view retrieval (2015) (392)
- Partial Transfer Learning with Selective Adversarial Networks (2017) (317)
- Partial Adversarial Domain Adaptation (2018) (304)
- Transferable Representation Learning with Deep Adaptation Networks (2019) (301)
- Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (2019) (279)
- PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning (2018) (258)
- Universal Domain Adaptation (2019) (250)
- Deep Cauchy Hashing for Hamming Space Retrieval (2018) (236)
- Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting (2021) (216)
- Deep Quantization Network for Efficient Image Retrieval (2016) (216)
- Transferable Attention for Domain Adaptation (2019) (212)
- Learning Multiple Tasks with Multilinear Relationship Networks (2015) (209)
- Deep Visual-Semantic Hashing for Cross-Modal Retrieval (2016) (206)
- Spatiotemporal Pyramid Network for Video Action Recognition (2017) (200)
- Transfer Sparse Coding for Robust Image Representation (2013) (190)
- Learning to Transfer Examples for Partial Domain Adaptation (2019) (188)
- Transfer Learning with Graph Co-Regularization (2012) (188)
- Domain Invariant Transfer Kernel Learning (2015) (180)
- Generalized Zero-Shot Learning with Deep Calibration Network (2018) (179)
- Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (2019) (178)
- Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (2019) (147)
- Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics (2018) (146)
- Cross-View Retrieval via Probability-Based Semantics-Preserving Hashing (2017) (145)
- Deep Learning of Transferable Representation for Scalable Domain Adaptation (2016) (143)
- Transferable Normalization: Towards Improving Transferability of Deep Neural Networks (2019) (135)
- Minimum Class Confusion for Versatile Domain Adaptation (2019) (135)
- Composite Correlation Quantization for Efficient Multimodal Retrieval (2015) (121)
- Deep Visual-Semantic Quantization for Efficient Image Retrieval (2017) (116)
- Multi-label Classification via Feature-aware Implicit Label Space Encoding (2014) (116)
- Transductive Zero-Shot Recognition via Shared Model Space Learning (2016) (102)
- Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (2019) (93)
- Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions (2013) (92)
- Learning Multiple Tasks with Deep Relationship Networks (2015) (91)
- Collective Deep Quantization for Efficient Cross-Modal Retrieval (2017) (89)
- HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN (2018) (86)
- How Does Learning Rate Decay Help Modern Neural Networks (2019) (81)
- Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation (2020) (80)
- Correlation Autoencoder Hashing for Supervised Cross-Modal Search (2016) (78)
- Unsupervised Domain Adaptation With Distribution Matching Machines (2018) (76)
- PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning (2021) (74)
- Transferable Curriculum for Weakly-Supervised Domain Adaptation (2019) (65)
- Deep Triplet Quantization (2018) (65)
- Dual Transfer Learning (2012) (64)
- Learning to Detect Open Classes for Universal Domain Adaptation (2020) (58)
- Cross-Modal Hamming Hashing (2018) (58)
- LogME: Practical Assessment of Pre-trained Models for Transfer Learning (2021) (56)
- Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy (2021) (53)
- PredCNN: Predictive Learning with Cascade Convolutions (2018) (50)
- Correlation Hashing Network for Efficient Cross-Modal Retrieval (2016) (50)
- Open Domain Generalization with Domain-Augmented Meta-Learning (2021) (49)
- Cycle Self-Training for Domain Adaptation (2021) (49)
- Co-Tuning for Transfer Learning (2020) (42)
- Representation Subspace Distance for Domain Adaptation Regression (2021) (34)
- Transferability in Deep Learning: A Survey (2022) (33)
- Progressive Adversarial Networks for Fine-Grained Domain Adaptation (2020) (30)
- Learning to Adapt to Evolving Domains (2020) (30)
- Self-Tuning for Data-Efficient Deep Learning (2021) (30)
- Learning Predictable and Discriminative Attributes for Visual Recognition (2015) (29)
- Transferable Calibration with Lower Bias and Variance in Domain Adaptation (2020) (28)
- Domain Adaptation with Randomized Multilinear Adversarial Networks (2017) (28)
- Deep Priority Hashing (2018) (27)
- Regressive Domain Adaptation for Unsupervised Keypoint Detection (2021) (24)
- Transitive Hashing Network for Heterogeneous Multimedia Retrieval (2016) (24)
- Transferable Query Selection for Active Domain Adaptation (2021) (24)
- Zoo-Tuning: Adaptive Transfer from a Zoo of Models (2021) (23)
- Matrix Factorization Meets Cosine Similarity: Addressing Sparsity Problem in Collaborative Filtering Recommender System (2014) (21)
- A Novel Digital Watermarking Method for New Viewpoint Video Based on Depth Map (2008) (21)
- Towards Understanding the Transferability of Deep Representations (2019) (19)
- Maximum-Margin Hamming Hashing (2019) (17)
- Twin Bridge Transfer Learning for Sparse Collaborative Filtering (2013) (17)
- Stochastic Normalization (2020) (17)
- Resource Efficient Domain Adaptation (2020) (15)
- Transfer Adversarial Hashing for Hamming Space Retrieval (2017) (14)
- Flowformer: Linearizing Transformers with Conservation Flows (2022) (14)
- Unsupervised Transfer Learning for Spatiotemporal Predictive Networks (2020) (13)
- A visual word weighting scheme based on emerging itemsets for video annotation (2010) (12)
- Simultaneous Learning of Pivots and Representations for Cross-Domain Sentiment Classification (2020) (12)
- Bi-tuning of Pre-trained Representations (2020) (11)
- MetaSets: Meta-Learning on Point Sets for Generalizable Representations (2021) (11)
- Automatic image annotation using tag-related random search over visual neighbors (2012) (11)
- On Localized Discrepancy for Domain Adaptation (2020) (10)
- Semi-Supervised Active Learning with Cross-Class Sample Transfer (2016) (9)
- Image annotation based on recommendation model (2011) (9)
- VideoDG: Generalizing Temporal Relations in Videos to Novel Domains (2019) (9)
- Debiased Self-Training for Semi-Supervised Learning (2022) (9)
- Decoupled Adaptation for Cross-Domain Object Detection (2021) (8)
- Z-Order Recurrent Neural Networks for Video Prediction (2019) (8)
- Local Hybrid Coding for Image Classification (2014) (8)
- Ranking and Tuning Pre-trained Models: A New Paradigm of Exploiting Model Hubs (2021) (6)
- Automatic Image Annotations by Mining Web Image Data (2009) (6)
- Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting (2022) (6)
- Adversarial Pyramid Network for Video Domain Generalization (2019) (6)
- Debiased Pseudo Labeling in Self-Training (2022) (6)
- A Multi-Player Minimax Game for Generative Adversarial Networks (2020) (5)
- From Big to Small: Adaptive Learning to Partial-Set Domains (2022) (5)
- A New Fingerprint Sequences Matching Algorithm for Content-Based Copy Detection (2009) (5)
- Compositional Correlation Quantization for Large-Scale Multimodal Search (2015) (5)
- Less Confusion More Transferable: Minimum Class Confusion for Versatile Domain Adaptation (2019) (4)
- Inherent Replica Inconsistency in Cassandra (2014) (4)
- Multi-Task Learning of Generalizable Representations for Video Action Recognition (2018) (3)
- Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting (2022) (3)
- Supported Policy Optimization for Offline Reinforcement Learning (2022) (3)
- A Novel Watermarking Method For Wyner-Ziv Video Coding (2008) (2)
- Autority aware expert search: Algorithm and system for NSFC (2012) (2)
- Learning Stages: Phenomenon, Root Cause, Mechanism Hypothesis, and Implications (2019) (1)
- Combining Smooth Graphs with Semi-supervised Learning (2007) (1)
- Cross-View Retrieval via Probability-Based Semantics-Preserving Hashing. (2016) (1)
- 3 Conditional Adversarial Domain Adaptation (2018) (1)
- Omni-Training for Data-Efficient Deep Learning (2021) (1)
- Reversing Two-Stream Networks with Decoding Discrepancy Penalty for Robust Action Recognition (2018) (1)
- A Novel Data-driven Image Annotation Method (2009) (0)
- Adaptive-Push Peer-to-Peer Video Streaming System Based on Dynamic Unstructured Topology (2009) (0)
- X-model: Improving Data Efficiency in Deep Learning with A Minimax Model (2021) (0)
- Domain Invariant Transfer Kernel Learning. (6)(2015) (2015) (0)
- D ECOUPLED A DAPTATION FOR C ROSS -D OMAIN O BJECT D ETECTION (2022) (0)
- TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis (2022) (0)
- Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning (2021) (0)
- FREE-VIEWPOINT VIDEO WATERMARKING BASED ON DEPTH MAP (2010) (0)
- Solving High-Dimensional PDEs with Latent Spectral Models (2023) (0)
- Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models (2022) (0)
- Transferring Pretrained Networks to Small Data via Category Decorrelation (2020) (0)
- Multi-Document Summarization by Graph Matching (2007) (0)
- CLIPood: Generalizing CLIP to Out-of-Distributions (2023) (0)
- ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning (2021) (0)
- Deep TripletQuantization (2018) (0)
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