Wang, Gang
103 publications
IJCAI
2025
Optical Flow Estimation for Tiny Objects: New Problem, Specialized Benchmark, and Bioinspired Scheme
CVPR
2025
Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks
ICML
2024
RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation
NeurIPS
2024
Weak-Eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles
IJCAI
2023
JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval
IJCAI
2022
Learning from Students: Online Contrastive Distillation Network for General Continual Learning
CVPRW
2021
Progressive Data Mining and Adaptive Weighted Multi-Model Ensemble for Vehicle Re-Identification
NeurIPS
2020
Decentralized TD Tracking with Linear Function Approximation and Its Finite-Time Analysis
AISTATS
2020
Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation
AISTATS
2020
Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning
AAAI
2019
Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks
AAAI
2019
Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks
CVPR
2017
Episodic CAMN: Contextual Attention-Based Memory Networks with Iterative Feedback for Scene Labeling
ECCV
2016
Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks
CVPRW
2015
Convolutional Recurrent Neural Networks: Learning Spatial Dependencies for Image Representation
ICCV
2011
Discriminative Multi-Manifold Analysis for Face Recognition from a Single Training Sample per Person