Gang Wang
80 papers · 2003–2026 · 17 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π Conference Polyglot (17)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Academic Marathon
(22)
π
Keyword Trendsetter Combo
(6)
π
Conference Loyalist
(26)
π
Keyword Champion
(3)
π§¬
Topic Evolution
π
Grand Slam
π
Conference Pioneer
β‘
Prolific Year
(9)
π
Trend Setter
ποΈ
Keyword Collector
(350)
β
The Questioner
(2)
π
Century Club
(79)
π₯
Unstoppable
(13)
Conferences
CVPR (26)
NIPS (8)
ICCV (8)
IJCAI (7)
AAAI (7)
ACL (5)
ECCV (3)
EMNLP (3)
ICML (3)
AISTATS (2)
ICLR (2)
COLING (1)
ACML (1)
IJCNLP (1)
INTERSPEECH (1)
MICCAI (1)
WACV (1)
Top co-authors
Keywords
convolutional neural network
(7)
semantic segmentation
(7)
attention mechanism
(6)
object tracking
(6)
representation learning
(5)
recurrent neural network
(5)
feature extraction
(5)
metric learning
(5)
knowledge distillation
(4)
large language model
(4)
neural network
(3)
deep learning
(3)
salient object detection
(3)
scene labeling
(3)
action recognition
(3)
federated learning
(3)
multi-scale feature
(3)
image classification
(2)
person re-identification
(2)
relation extraction
(2)
Papers
Efficient Learned Data Compression via Dual-Stream Feature Decoupling
ACL 2026
JTD-UAV: MLLM-Enhanced Joint Tracking and Description Framework for Anti-UAV Systems
CVPR 2025
Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks
CVPR 2025
PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis
MICCAI 2025
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
AAAI 2025
Genomics Data Lossless Compression with (S, K)-Mer Encoding and Deep Neural Networks
AAAI 2025
pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning
AAAI 2025
SepALM: Audio Language Models Are Error Correctors for Robust Speech Separation
IJCAI 2025
CART: A Generative Cross-Modal Retrieval Framework With Coarse-To-Fine Semantic Modeling
ACL 2025
Optical Flow Estimation for Tiny Objects: New Problem, Specialized Benchmark, and Bioinspired Scheme
IJCAI 2025
The Emperorβs New Clothes in Benchmarking? A Rigorous Examination of Mitigation Strategies for LLM Benchmark Data Contamination
ICML 2025
A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing
ICML 2025
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
ICLR 2025
Tracking Tiny Drones against Clutter: Large-Scale Infrared Benchmark with Motion-Centric Adaptive Algorithm
ICCV 2025
Federated Representation Angle Learning
ICCV 2025
MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts?
EMNLP 2025
Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision
EMNLP 2025
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
ACL 2024
RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation
ICML 2024
Federated Model Heterogeneous Matryoshka Representation Learning
NIPS 2024
Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles
NIPS 2024
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning
IJCAI 2024
Multi-Constellation-Inspired Single-Shot Global LiDAR Localization
AAAI 2024
DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection
AAAI 2024
Unified Single-Stage Transformer Network for Efficient RGB-T Tracking
IJCAI 2024
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning
NIPS 2023
ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking
NIPS 2023
JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval
IJCAI 2023
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy
ICLR 2023
An Effective Deployment of Contrastive Learning in Multi-label Text Classification
ACL 2023
Knowledge Distillation via the Target-Aware Transformer
CVPR 2022
Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme Representations for Text to Speech
INTERSPEECH 2022
Learning from Students: Online Contrastive Distillation Network for General Continual Learning
IJCAI 2022
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting
NIPS 2021
Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning
AISTATS 2020
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis
NIPS 2020
Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation
AISTATS 2020
DA4AD: End-to-End Deep Attention-based Visual Localization for Autonomous Driving
ECCV 2020
DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation
WACV 2020
Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks
AAAI 2019
Easy First Relation Extraction with Information Redundancy
IJCNLP 2019
Multi-branch Siamese Network for High Performance Online Visual Tracking
ACML 2019
Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models
IJCAI 2019
Semantic Correlation Promoted Shape-Variant Context for Segmentation
CVPR 2019
Easy First Relation Extraction with Information Redundancy
EMNLP 2019
Boundary-Aware Feature Propagation for Scene Segmentation
ICCV 2019
Unpaired Image Captioning via Scene Graph Alignments
ICCV 2019
Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks
AAAI 2019
Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-Identification
CVPR 2018
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
CVPR 2018
SSNet: Scale Selection Network for Online 3D Action Prediction
CVPR 2018
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval With Generative Models
CVPR 2018
Progressive Attention Guided Recurrent Network for Salient Object Detection
CVPR 2018
Unpaired Image Captioning by Language Pivoting
ECCV 2018
A Bi-Directional Message Passing Model for Salient Object Detection
CVPR 2018
Person Re-Identification With Cascaded Pairwise Convolutions
CVPR 2018
Motion-Guided Cascaded Refinement Network for Video Object Segmentation
CVPR 2018
Graininess-Aware Deep Feature Learning for Pedestrian Detection
ECCV 2018
Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation
CVPR 2018
Episodic CAMN: Contextual Attention-Based Memory Networks With Iterative Feedback for Scene Labeling
CVPR 2017
Solving Most Systems of Random Quadratic Equations
NIPS 2017
Global Context-Aware Attention LSTM Networks for 3D Action Recognition
CVPR 2017
An Empirical Study of Language CNN for Image Captioning
ICCV 2017
Blob Reconstruction Using Unilateral Second Order Gaussian Kernels With Application to High-ISO Long-Exposure Image Denoising
ICCV 2017
Deep Level Sets for Salient Object Detection
CVPR 2017
Context-Aware Gaussian Fields for Non-Rigid Point Set Registration
CVPR 2016
Recurrent Attentional Networks for Saliency Detection
CVPR 2016
DAG-Recurrent Neural Networks For Scene Labeling
CVPR 2016
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
CVPR 2016
Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow
NIPS 2016
Deep Hashing for Compact Binary Codes Learning
CVPR 2015
Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters
CVPR 2015
Integrating Parametric and Non-Parametric Models For Scene Labeling
CVPR 2015
Multi-Manifold Deep Metric Learning for Image Set Classification
CVPR 2015
DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition
CVPR 2014
Tracklet Association with Online Target-Specific Metric Learning
CVPR 2014
Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-kernel Metric Learning
ICCV 2013
Learning to Share Latent Tasks for Action Recognition
ICCV 2013
Automatic Generation of Semantic Fields for Annotating Web Images
COLING 2010
Extracting Key Semantic Terms from Chinese Speech Query for Web Searches
ACL 2003