Li Wang
68 papers · 2010–2026 · 19 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 35 separate collaboration groups - the largest holds only 10% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Li Wang?
13 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Jianye Hao, Dong Li, Yi Shan
7 papers
· 2019–2022
· AAAI, ICLR, ICML
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Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving
AAAI 2022
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation
ICLR 2022
Individual Reward Assisted Multi-Agent Reinforcement Learning
ICML 2022
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator
AAAI 2022
Dual Super-Resolution Learning for Semantic Segmentation
CVPR 2020
Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks
AAAI 2020
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning
AAAI 2019
22 papers whose co-authors appear nowhere else under this name
Deconstructing Instruction-Following: A New Benchmark for Granular Evaluation of Large Language Model Instruction Compliance Abilities
EACL 2026
Decoupling Understanding from Reasoning via Problem Space Mapping for Small-Scale Model Reasoning
AAAI 2026
MoMoREC: A Multi-agent Motivation Generation Framework for Residual Semantic ID-Aware Recommendation
AAAI 2026
TeRA: Rethinking Text-guided Realistic 3D Avatar Generation
ICCV 2025
Nonparametric Regression for 3D Point Cloud Learning
JMLR 2024
Solving General Natural-Language-Description Optimization Problems with Large Language Models
NAACL 2024
BERT-ERC: Fine-Tuning BERT Is Enough for Emotion Recognition in Conversation
AAAI 2023
Dual Meta-Learning with Longitudinally Consistent Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
ICCV 2023
Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations
AAAI 2023
Video-Audio Domain Generalization via Confounder Disentanglement
AAAI 2023
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger
ECCV 2022
Privacy-Preserving Face Recognition in the Frequency Domain
AAAI 2022
Weighted Mutual Learning with Diversity-Driven Model Compression
NeurIPS 2022
A Partial Label Metric Learning Algorithm for Class Imbalanced Data
ACML 2021
Text Anchor Based Metric Learning for Small-Footprint Keyword Spotting
Interspeech 2021
Show, Recall, and Tell: Image Captioning with Recall Mechanism
AAAI 2020
Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement
AAAI 2020
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation
AAAI 2019
Learning Actor Relation Graphs for Group Activity Recognition
CVPR 2019
Towards Discriminative Representations and Unbiased Predictions: Class-Specific Angular Softmax for Speech Emotion Recognition
Interspeech 2019
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization
IJCAI 2018
Tracklet Association with Online Target-Specific Metric Learning
CVPR 2014