Shu-tao Xia

Shu-tao Xia's AcademicInfluence.com Rankings

Shu-tao Xia

Engineering

#7158

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#8521

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Electrical Engineering

#2211

World Rank

#2317

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engineering Degrees

Shu-tao Xia

Computer Science

#9632

World Rank

#10108

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Algorithms

#394

World Rank

#399

Historical Rank

Artificial Intelligence

#4623

World Rank

#4685

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Database

#6599

World Rank

#6834

Historical Rank

computer-science Degrees

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Engineering
Computer Science

Shu-tao Xia's Degrees

PhD Electrical Engineering University of California, Berkeley
Masters Electrical Engineering University of California, Berkeley
Bachelors Electrical Engineering Tsinghua University

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Shu-tao Xia'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

Second-Order Attention Network for Single Image Super-Resolution (2019) (836)
Adversarial Weight Perturbation Helps Robust Generalization (2020) (346)
Dimensionality-Driven Learning with Noisy Labels (2018) (315)
Iterative Learning with Open-set Noisy Labels (2018) (238)
Backdoor Learning: A Survey (2020) (220)
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets (2020) (171)
Johnson type bounds on constant dimension codes (2007) (143)
TokenPose: Learning Keypoint Tokens for Human Pose Estimation (2021) (83)
Rethinking the Trigger of Backdoor Attack (2020) (80)
Improving Adversarial Robustness via Channel-wise Activation Suppressing (2021) (63)
A Novel Consistent Random Forest Framework: Bernoulli Random Forests (2018) (57)
Constructions of Optimal Cyclic (r, δ) Locally Repairable Codes (2016) (55)
Targeted Attack for Deep Hashing based Retrieval (2020) (49)
Some results on optimal locally repairable codes (2016) (47)
Backdoor Attack Against Speaker Verification (2020) (46)
Deterministic Constructions of Binary Measurement Matrices From Finite Geometry (2013) (45)
Back-propagation neural network on Markov chains from system call sequences: a new approach for detecting Android malware with system call sequences (2017) (45)
Hilbert-Based Generative Defense for Adversarial Examples (2019) (41)
Entropy-based bilateral filtering with a new range kernel (2017) (38)
Bounds and Constructions of Locally Repairable Codes: Parity-Check Matrix Approach (2016) (38)
One-Shot Adversarial Attacks on Visual Tracking With Dual Attention (2020) (37)
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits (2021) (37)
Constructions of Optimal Cyclic $({r},{\delta })$ Locally Repairable Codes (2016) (37)
Design and analysis of SEIQR worm propagation model in mobile internet (2017) (35)
Improved Analysis for Subspace Pursuit Algorithm in Terms of Restricted Isometry Constant (2013) (35)
Backdoor Attack in the Physical World (2021) (34)
Constructions of quasi-cyclic measurement matrices based on array codes (2013) (33)
Fakd: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution (2020) (32)
Constructions of Optimal Binary Locally Repairable Codes With Multiple Repair Groups (2016) (32)
On optimal ternary locally repairable codes (2017) (30)
Improving Query Efficiency of Black-box Adversarial Attack (2020) (29)
Binary Matrices for Compressed Sensing (2018) (27)
A less-greedy two-term Tsallis Entropy Information Metric approach for decision tree classification (2017) (26)
Multinomial random forest (2022) (26)
Constructions of Optimal $(r,\delta)$ Locally Repairable Codes via Constacyclic Codes (2019) (25)
Improved Bounds and Singleton-Optimal Constructions of Locally Repairable Codes With Minimum Distance 5 and 6 (2021) (23)
Few-Shot Backdoor Attacks on Visual Object Tracking (2022) (22)
Sparse Signal Recovery by ${\ell_q}$ Minimization Under Restricted Isometry Property (2013) (21)
PMPA: A patch-based multiscale products algorithm for image denoising (2015) (21)
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters (2020) (21)
Adaptive Regularization of Labels (2019) (20)
Minimum Pseudoweight and Minimum Pseudocodewords of LDPC Codes (2008) (20)
Image Quality Assessment Based on Inter-Patch and Intra-Patch Similarity (2015) (20)
Reconstruction guarantee analysis of binary measurement matrices based on girth (2013) (19)
Boost Clickbait Detection Based on User Behavior Analysis (2017) (19)
Reconstruction Guarantee Analysis of Basis Pursuit for Binary Measurement Matrices in Compressed Sensing (2017) (19)
Hidden Backdoor Attack against Semantic Segmentation Models (2021) (17)
Toward Latency-Aware Dynamic Middlebox Scheduling (2015) (17)
Structured non-binary LDPC codes with large girth (2007) (17)
On the stopping distance of finite geometry LDPC codes (2006) (16)
Unifying attribute splitting criteria of decision trees by Tsallis entropy (2017) (15)
Image Super-Resolution via Residual Block Attention Networks (2019) (15)
ABFL: An autoencoder based practical approach for software fault localization (2020) (15)
Unbiased Multivariate Correlation Analysis (2017) (15)
Open-sourced Dataset Protection via Backdoor Watermarking (2020) (14)
Minimum Pseudo-Codewords of LDPC Codes (2006) (14)
Construction of MDS Euclidean Self-Dual Codes via Two Subsets (2020) (14)
Referenceless quality metric of multiply-distorted images based on structural degradation (2018) (13)
Adversarial Defense Via Local Flatness Regularization (2019) (13)
On the linear codes with (r, δ)-locality for distributed storage (2017) (13)
Improving Vision Transformers by Revisiting High-frequency Components (2022) (13)
DAG-GAN: Causal Structure Learning with Generative Adversarial Nets (2021) (13)
Semi-supervised robust training with generalized perturbed neighborhood (2022) (12)
Toward Adversarial Robustness via Semi-supervised Robust Training (2020) (12)
Deterministic constructions of binary measurement matrices with various sizes (2014) (12)
LDPC Codes Based on Berlekamp-Justesen Codes with Large Stopping Distances (2006) (12)
Hijacking Tracker: A Powerful Adversarial Attack on Visual Tracking (2020) (12)
Locally repairable codes with multiple (ri, δi)-localities (2017) (12)
On the Maximal Code Length of Optimal Linear Locally Repairable Codes (2018) (12)
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection (2022) (12)
TNT: An Interpretable Tree-Network-Tree Learning Framework using Knowledge Distillation (2020) (12)
Deep image prior based defense against adversarial examples (2021) (12)
Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution (2022) (11)
Revisiting Loss Landscape for Adversarial Robustness (2020) (11)
Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness (2019) (11)
BackdoorBox: A Python Toolbox for Backdoor Learning (2023) (11)
DPAttack: Diffused Patch Attacks against Universal Object Detection (2020) (11)
Link sign prediction by Variational Bayesian Probabilistic Matrix Factorization with Student-t Prior (2017) (11)
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex (2017) (10)
Practical and Bilateral Privacy-preserving Federated Learning (2020) (10)
Network coding for data-retrieving in cloud storage systems (2015) (10)
Stopping Set Distributions of Some Reed–Muller Codes (2011) (10)
EBSNN: Extended Byte Segment Neural Network for Network Traffic Classification (2021) (10)
Improved Analyses for SP and CoSaMP Algorithms in Terms of Restricted Isometry Constants (2013) (9)
End-to-end coding for TCP (2016) (9)
Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval (2022) (9)
Nonlocal Pixel Selection for Multisurface Fitting-Based Super-Resolution (2014) (9)
Special focus on distributed storage coding (2018) (9)
DIPDefend: Deep Image Prior Driven Defense against Adversarial Examples (2020) (9)
A Lower Bound on the Probability of Undetected Error for Binary Constant Weight Codes (2005) (9)
Improving decision trees by Tsallis Entropy Information Metric method (2016) (9)
Stochastic Deep Gaussian Processes over Graphs (2020) (9)
Is 2D Heatmap Representation Even Necessary for Human Pose Estimation? (2021) (9)
Correlation-based structural dropout for convolutional neural networks (2021) (8)
Cyclic Annealing Training Convolutional Neural Networks for Image Classification with Noisy Labels (2018) (8)
Link Prediction in Aligned Heterogeneous Networks (2015) (8)
Student-t Process Regression with Student-t Likelihood (2017) (8)
Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness (2016) (8)
On the weight hierarchy of locally repairable codes (2017) (8)
t-k-means: A ROBUST AND STABLE k-means VARIANT (2020) (8)
A class of deterministic construction of binary compressed sensing matrices (2012) (8)
Defending against Model Stealing via Verifying Embedded External Features (2021) (8)
Unifying Decision Trees Split Criteria Using Tsallis Entropy (2015) (7)
RAPIT: RTT-Aware Pending Interest Table for Content Centric Networking (2015) (7)
CAFFE: Congestion-Aware Fast Failure Recovery in Software Defined Networks (2018) (7)
A Fine-Grained Differentially Private Federated Learning Against Leakage From Gradients (2022) (7)
Student-t Process Regression with Dependent Student-t Noise (2016) (7)
SAM: Self-Attention based Deep Learning Method for Online Traffic Classification (2020) (7)
A Note on Self-Dual Generalized Reed-Solomon Codes (2020) (7)
Stopping Set Distributions of Some Linear Codes (2006) (7)
Video scene parsing: An overview of deep learning methods and datasets (2020) (7)
A novel feature subspace selection method in random forests for high dimensional data (2016) (7)
A generic denoising framework via guided principal component analysis (2017) (7)
Clustering Effect of Adversarial Robust Models (2021) (7)
Mean-removed product quantization for large-scale image retrieval (2020) (6)
Classification of Optimal Ternary (r, δ)-Locally Repairable Codes Attaining the Singleton-like Bound (2019) (6)
Hrnet: Hamiltonian Rescaling Network for Image Downscaling (2020) (6)
Binary Constant-Weight Codes for Error Detection (1998) (6)
The undetected error probability threshold of m-out-of-n codes (2000) (6)
On the Undetected Error Probability of m-out-of-n Codes on the Binary Symmetric Channel (2000) (6)
Improved bounds and Optimal Constructions of Locally Repairable Codes with distance 5 and 6 (2019) (6)
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips (2022) (5)
Expander Recovery Performance of Bipartite Graphs With Girth Greater Than 4 (2019) (5)
Corrdrop: Correlation Based Dropout for Convolutional Neural Networks (2020) (5)
Recursive bounds for locally repairable codes with multiple repair groups (2016) (5)
SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation (2021) (5)
Maximum Multiflow in Wireless Network Coding (2012) (5)
Alpha Discovery Neural Network based on Prior Knowledge (2019) (5)
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval (2021) (5)
Efficient Black-Box Adversarial Attack Guided by the Distribution of Adversarial Perturbations (2020) (5)
Attentiondrop for Convolutional Neural Networks (2019) (5)
Steward: smart edge based joint QoE optimization for adaptive video streaming (2019) (5)
Complete Characterization of Optimal LRCs with Minimum Distance 6 and Locality 2: Improved Bounds and Constructions (2020) (4)
SwinFGHash: Fine-grained Image Retrieval via Transformer-based Hashing Network (2021) (4)
DELTA: degradation-free fully test-time adaptation (2023) (4)
On the Effectiveness of Adversarial Training against Backdoor Attacks (2022) (4)
An effective puncturing scheme for rate-compatible LDPC codes (2010) (4)
Construction of ternary matrices with small coherence for compressed sensing (2016) (4)
Foveated nonlocal dual denoising (2017) (4)
Self -Paced Mixture of T Distribution Model (2018) (4)
Decoding Buffer Management in Practical Wireless Network Coding (2011) (4)
Visual Privacy Protection via Mapping Distortion (2019) (4)
Multi-level Recognition on Falls from Activities of Daily Living (2020) (4)
Exploiting Multiple Features for Learning to Rank in Expert Finding (2013) (4)
A probabilistic model for semantic advertising (2019) (4)
Webly Supervised Deep Attentive Quantization (2021) (4)
A customized and cost-efficient backup scheme in software-defined networks (2017) (4)
An Adaptive Approach to Chinese Semantic Advertising (2011) (3)
WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations (2021) (3)
Vertical Semi-Federated Learning for Efficient Online Advertising (2022) (3)
A comparative study of wavelets and adaptively learned dictionary in compressive image sensing (2012) (3)
On the Alignment Space and its applications (2006) (3)
Minimum Pseudo-Weight and Minimum Pseudo-Codewords of LDPC Codes (2006) (3)
HOCA: Higher-Order Channel Attention for Single Image Super-Resolution (2021) (3)
Mean-Removed Product Quantization for Approximate Nearest Neighbor Search (2019) (3)
S2A: Scale-Attention-Aware Networks for Video Super-Resolution (2021) (3)
Deterministic Construction of Binary Measurement Matrices with Flexible Sizes (2014) (3)
Open-Vocabulary Multi-Label Classification via Multi-modal Knowledge Transfer (2022) (3)
Pyramid Hybrid Pooling Quantization for Efficient Fine-Grained Image Retrieval (2021) (3)
Black-box Ownership Verification for Dataset Protection via Backdoor Watermarking (2022) (3)
SARD: A Smart Approach of Rule Division for fast flow-level consistent update in SDN (2015) (3)
Robust Survey Aggregation with Student-t Distribution and Sparse Representation (2017) (3)
Semi-Supervised Cross-Silo Advertising with Partial Knowledge Transfer (2022) (3)
On the Linear Programming Bounds for Constant Dimension Codes (2011) (3)
Neural Style Transfer with Content Discrimination (2019) (3)
Towards A Category-extended Object Detector without Relabeling or Conflicts (2020) (3)
Portrait-Aware Artistic Style Transfer (2018) (3)
Multi-document Summarization Based on Sentence Clustering (2014) (3)
Cyclic repetition erasure code (2013) (3)
RT-ADI: Fast Real-Time Video Representation for Multi-view Human Fall Detection (2019) (3)
Imperceptible and Robust Backdoor Attack in 3D Point Cloud (2022) (3)
Query-Focused Multi-document Summarization Based on Concept Importance (2016) (3)
Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning (2020) (3)
Improving the Classification accuracy of Noisy Dataset by Effective Data Preprocessing (2019) (3)
Improving Decision Trees Using Tsallis Entropy (2015) (2)
Multinomial Random Forests: Fill the Gap between Theoretical Consistency and Empirical Soundness (2019) (2)
Incorrigible set distributions and unsuccessful decoding probability of linear codes (2013) (2)
Keyword Proximity Search over Large and Complex RDF Database (2012) (2)
Generalized Local Aggregation for Large Scale Gaussian Process Regression (2020) (2)
SDCN: Sparsity and Diversity Driven Correlation Networks for Traffic Demand Forecasting (2020) (2)
On the single-parity locally repairable codes with availability (2016) (2)
A traffic localization strategy for peer-to-peer live streaming (2013) (2)
Making Large Ensemble of Convolutional Neural Networks via Bootstrap Re-sampling (2019) (2)
Capacity Region of Wireless Network Coding (2014) (2)
D2Defend: Dual-Domain based Defense against Adversarial Examples (2021) (2)
A Graham-Sloane Type Construction of Constant Dimension Codes (2008) (2)
Compressed Sensing Performance of Binary Matrices with Binary Column Correlations (2017) (2)
Matrix Smoothing: A Regularization For Dnn With Transition Matrix Under Noisy Labels (2020) (2)
CUBIST: High-Quality 360-Degree Video Streaming Services via Tile-based Edge Caching and FoV-Adaptive Prefetching (2021) (2)
Query efficient black-box adversarial attack on deep neural networks (2022) (2)
On the Single-Parity Locally Repairable Codes (2017) (2)
Attention on Attention Sparse Dense Convolutional Network for Financial Signal Processing (2021) (2)
Deep Flow Collaborative Network for Online Visual Tracking (2019) (2)
Detecting and grouping keypoints for multi-person pose estimation using instance-aware attention (2022) (2)
Clustering Effect of (Linearized) Adversarial Robust Models (2021) (2)
Perfect LRCs and k-Optimal LRCs (2020) (2)
Blind quality assessment of multiply-distorted images based on structural degradation (2017) (2)
Scale the Internet routing table by generalized next hops of strict partial order (2017) (2)
An Optimal Pull-Push Scheduling Algorithm Based on Network Coding for Mesh Peer-to-Peer Live Streaming (2012) (2)
Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware Association (2021) (1)
Self-Adaptive Feature Fool (2020) (1)
An optimal segment replication strategy in P2P-VoD systems (2013) (1)
Deep Dirichlet process mixture models (2022) (1)
Multitask Deep Learning for Edge Intelligence Video Surveillance System (2020) (1)
Automatic Financial Feature Construction (2019) (1)
Neural network-based automatic factor construction (2020) (1)
The characterization of binary constant weight codes meeting the bound of Fu and Shen (2007) (1)
Single-Frame Super-Resolution via Compressive Sampling on Hybrid Reconstructions (2015) (1)
Prior Knowledge Neural Network for Automatic Feature Construction in Financial Time Series (2019) (1)
CG-ATTACK: Modeling the Conditional Distribution of Adversarial Perturbations to Boost Black-Box Attack. (2020) (1)
Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization (2018) (1)
Exploiting Level-Wise Category Links for Semantic Relatedness Computing (2014) (1)
Undetected error probability of q-ary constant weight codes (2008) (1)
Mix-order Attention Networks for Image Restoration (2021) (1)
Towards Effective Image Manipulation Detection with Proposal Contrastive Learning (2022) (1)
A Novel Puncturing Scheme for Rate-compatible LDPC Codes: A Novel Puncturing Scheme for Rate-compatible LDPC Codes (2011) (1)
Sure-Based Dual Domain Image Denoising (2018) (1)
Towards Mitigating the Problem of Insufficient and Ambiguous Supervision in Online Crowdsourcing Annotation (2022) (1)
Content-Aware Bilateral Filtering (2018) (1)
Unifying the Split Criteria of Decision Trees Using Tsallis Entropy (2016) (1)
UA-DRN: Unbiased Aggregation of Deep Neural Networks for Regression Ensemble (2019) (1)
Hugs Are Better Than Handshakes: Unsupervised Cross-Modal Transformer Hashing with Multi-granularity Alignment (2022) (1)
Not All Samples Are Born Equal: Towards Effective Clean-Label Backdoor Attacks (2023) (1)
On Optimal Pseudo-cyclic ($r, \delta$) Locally Repairable Codes (2018) (1)
A Two-Step Non-redundant Subspace Clustering Approach (2012) (1)
An Ontology-Based Approach to Query Suggestion Diversification (2014) (1)
New bounds Under Restricted Isometry for the exact k-sparse recovery via ℓq minimization (2013) (1)
Subspace thresholding pursuit: A reconstruction algorithm for compressed sensing (2013) (1)
BATT: Backdoor Attack with Transformation-based Triggers (2022) (1)
A Lower Bound on the Probability of Undetected Error for Binary Constant Weight Codes (2006) (1)
TOW:A novel time and popularity sensitive cache algorithm for P2P live media streaming (2008) (1)
Versatile Weight Attack via Flipping Limited Bits (2022) (1)
Temporal Calibrated Regularization for Robust Noisy Label Learning (2020) (1)
A constant approximation for multicast scheduling under physical interference model (2013) (1)
GDST: Global Distillation Self-Training for Semi-Supervised Federated Learning (2021) (1)
JSRT: James-Stein Regression Tree (2020) (1)
Bishift-Net for Image Inpainting (2021) (1)
Sample-aware Data Augmentor for Scene Text Recognition (2021) (1)
Deterministic complex-valued measurement matrices based on Berlekamp-Justesen codes (2014) (1)
PTS: A Prompt-based Teacher-Student Network for Weakly Supervised Aspect Detection (2022) (1)
Practical protection against video data leakage via universal adversarial head (2022) (1)
Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval (2022) (1)
Alpha Discovery Neural Network, the Special Fountain of Financial Trading Signals (2019) (1)
Novel erasure codes with repair optimality for cloud storage (2015) (1)
Class Aware Robust Training (2021) (1)
Clean-label Backdoor Attack against Deep Hashing based Retrieval (2021) (1)
PatentRank: An Ontology-based Approach to Patent Search (2011) (1)
Learning Chinese-Japanese Bilingual Word Embedding by Using Common Characters (2016) (1)
Design of exact regenerating hierarchical code for distributed storage system (2013) (1)
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment (2021) (1)
A Practical Privacy-preserving Method in Federated Deep Learning. (2020) (1)
Adaptive Local Implicit Image Function for Arbitrary-Scale Super-Resolution (2022) (1)
Backdoor Defense via Suppressing Model Shortcuts (2022) (0)
Untargeted Backdoor Attack against Object Detection (2022) (0)
Semantic Preserving Learning for Task-Oriented Point Cloud Downsampling (2023) (0)
BAAT: Towards Sample-specific Backdoor Attack with Clean Labels (2022) (0)
LCD: Adaptive Label Correction for Denoising Music Recommendation (2022) (0)
Residual Frame for Noisy Video Classification According to Perceptual Quality in Convolutional Neural Networks (2019) (0)
Black-Box Dataset Ownership Verification via Backdoor Watermarking (2022) (0)
A quantization schema with negligible degradation for LDPC decoder (2010) (0)
On Optimal (r, δ)-LRCs with Length n | (q+1) (2018) (0)
Supplementary File : Second-order Attention Network for Single Image Super-resolution (2019) (0)
Nonextensive information theoretical machine (2016) (0)
On the Single-Parity Locally Repairable Codes with Multiple Repairable Groups (2018) (0)
Achieving Lightweight Federated Advertising with Self-Supervised Split Distillation (2022) (0)
A Lightweight Ontology Learning Method for Chinese Government Documents (2011) (0)
Progressive Splitting and Upscaling Structure for Super-Resolution (2021) (0)
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domai (2022) (0)
Locally Repairable Codes with Multiple $(r_{i}, \delta_{i})$-Localities (2017) (0)
L G ] 1 7 Ju l 2 01 9 tk-means : A k-means Variant with Robustness and Stability (2019) (0)
Weight Distributions of q-ary Optimal Locally Repairable Codes with Locality 2, Distance 5 and Even Dimension (2020) (0)
Transferable Adversarial Attacks for Deep Scene Text Detection (2021) (0)
SFR: Semantic-Aware Feature Rendering of Point Cloud (2023) (0)
An analysis of scheduling mechanism in wireless network coding (2014) (0)
NeXT: Towards High Quality Neural Radiance Fields via Multi-skip Transformer (2022) (0)
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias (2023) (0)
GDTW: A Novel Differentiable DTW Loss for Time Series Tasks (2021) (0)
A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling (2022) (0)
Universal Adversarial Head: Practical Protection against Video Data Leakage (2021) (0)
Automatic Grassland Degradation Estimation Using Deep Learning (2019) (0)
A probabilistic model for semantic advertising (2018) (0)
Motion-Aware Graph Reasoning Hashing for Self-supervised Video Retrieval (2022) (0)
Compressive sensing based asymmetric semantic image compression for resource-constrained IoT system (2022) (0)
Learning Transferable Spatiotemporal Representations from Natural Script Knowledge (2022) (0)
Batch Normalization Assisted Adversarial Pruning: Towards Lightweight, Sparse and Robust Models (2021) (0)
Enhanced Image Restoration Via Supervised Target Feature Transfer (2020) (0)
Portfolio Selection Via Graph-Aware Gaussian Processes With Generalized Gaussian Likelihood (2023) (0)
ACEs: Unsupervised Multi-label Aspect Detection with Aspect-category Experts (2022) (0)
Self-attentive Pyramid Network for Single Image De-raining (2019) (0)
Context Feature Guided Network for Image Super-resolution (2022) (0)
EDKE: Encoder-Decoder based Kernel Estimation for Blind Image Super-resolution (2021) (0)
Analysis of Repair Cost in Distributed Storage Systems with Fault-Tolerant Coding Strategies (2015) (0)
Bandwidth Efficiency of Distance-optimal Scalar Locally Repairable Codes (2018) (0)
Self-Ensemble Variance Regularization for Domain Adaptation (2022) (0)
Deep Portfolio Optimization Modeling based on Conv-Transformers with Graph Attention Mechanism (2022) (0)
On the Alignment Space (2005) (0)
t-k-means: A k-means Variant with Robustness and Stability (2019) (0)
Multinomial Random Forest: Toward Consistency and Privacy-Preservation (2019) (0)
Special focus on distributed storage coding (2018) (0)
Optimal Locally Repairable Codes for Parallel Reading (2020) (0)
Improved Real-Time Visual Tracking via Adversarial Learning (2020) (0)
Construction of structured low density lattice codes based on finite fields (2015) (0)
L G ] 2 4 Se p 20 20 tk-means : A ROBUST AND STABLE k-means VARIANT (2020) (0)
Training Interpretable Convolutional Neural Networks towards Class-specific Filters (2019) (0)
Puncturing schemes for rate-compatible non-binary LDPC codes (2011) (0)
Search Results Diversification Based on Swap Minimal Marginal Contribution (2012) (0)
Energy Aligning for Biased Models (2021) (0)
Automatic financial feature construction based on neural network (2019) (0)
MOVE: Effective and Harmless Ownership Verification via Embedded External Features (2022) (0)
BMSCS: A New Approach to Detecting Android Malware with System Call Sequences (2016) (0)
H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression (2021) (0)
Exploiting Ontologies to Rank Relationships Between Patents (2012) (0)
Greedy coordinate descent from the view of $\ell_1$-norm gradient descent (2017) (0)
Adaptive Frequency Learning in Two-branch Face Forgery Detection (2022) (0)
Some Results on the Improved Bound and Construction of Optimal (r, δ) LRCs (2022) (0)
On the error-detecting abilities of binary constant weight codes (1997) (0)
Towards a category-extended object detector with limited data (2020) (0)
Backdoor Defense via Adaptively Splitting Poisoned Dataset (2023) (0)
Difficulty-Aware Data Augmentor for Scene Text Recognition (2023) (0)
Label Aggregation of Gradient Boosting Decision Trees (2020) (0)
Bayesian linear regression with Student-t assumptions (2016) (0)
Matrix-Completion-Based Method for Cold-Start of Distributed Recommender Systems (2015) (0)
A Novel \ell ^1 ℓ 1 -graph Based Image Classification Algorithm (2015) (0)
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models (2023) (0)
Multi-task Ranking with User Behaviors for Text-video Search (2022) (0)
Alternating direction algorithms for ℓ0 regularization in compressed sensing (2016) (0)

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Shu-tao Xia is affiliated with the following schools:

Tsinghua University

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Shu-tao Xia's Degrees

Why Is Shu-tao Xia Influential?

Shu-tao Xia's Published Works

Published Works

What Schools Are Affiliated With Shu-tao Xia?

Shu-tao Xia's AcademicInfluence.com Rankings