Li Wang
68 papers · 2010–2026 · 19 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (18) π Academic Marathon (15) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(12)
πΊοΈ
Taxonomy Completionist
(116)
π
Triple Crown
π
Grand Slam
π
Conference Pioneer
β
The Questioner
π₯
Unstoppable
(9)
π
Century Club
(64)
ποΈ
Keyword Collector
(283)
β‘
Prolific Year
(7)
Conferences
AAAI (17)
CVPR (7)
NIPS (6)
INTERSPEECH (6)
IJCAI (5)
MICCAI (4)
ICML (4)
ICCV (3)
JMLR (2)
ICLR (2)
EMNLP (2)
ECCV (2)
ACML (2)
IJCNLP (1)
EACL (1)
CONLL (1)
COLING (1)
NAACL (1)
WACV (1)
Top co-authors
Research topics
Keywords
representation learning
(5)
3d object detection
(4)
reinforcement learning
(3)
point cloud
(3)
semantic segmentation
(3)
depth estimation
(3)
large language model
(3)
convolutional neural network
(3)
neural network
(3)
metric learning
(3)
model compression
(3)
model interpretability
(2)
causal inference
(2)
image compression
(2)
surface reconstruction
(2)
3d reconstruction
(2)
multi-task learning
(2)
differential privacy
(2)
video understanding
(2)
attention mechanism
(2)
Papers
MoMoREC: A Multi-agent Motivation Generation Framework for Residual Semantic ID-Aware Recommendation
AAAI 2026
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
Beyond Sharpness: The Role of Nonuniformity in Generalization
AAAI 2026
Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI
MICCAI 2025
TeRA: Rethinking Text-guided Realistic 3D Avatar Generation
ICCV 2025
Solving General Natural-Language-Description Optimization Problems with Large Language Models
NAACL 2024
Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development
MICCAI 2024
Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure
MICCAI 2024
Development of Effective Connectome from Infancy to Adolescence
MICCAI 2024
GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection
ECCV 2024
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory
IJCAI 2024
RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM
IJCAI 2024
Federated Self-Explaining GNNs with Anti-shortcut Augmentations
ICML 2024
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences
ICML 2024
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
ICLR 2024
Nonparametric Regression for 3D Point Cloud Learning
JMLR 2024
Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
NIPS 2024
Interventional Rationalization
EMNLP 2023
The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models
AAAI 2023
Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations
AAAI 2023
BERT-ERC: Fine-Tuning BERT Is Enough for Emotion Recognition in Conversation
AAAI 2023
Video-Audio Domain Generalization via Confounder Disentanglement
AAAI 2023
NeUDF: Leaning Neural Unsigned Distance Fields With Volume Rendering
CVPR 2023
BEVHeight: A Robust Framework for Vision-Based Roadside 3D Object Detection
CVPR 2023
CO-Net: Learning Multiple Point Cloud Tasks at Once with A Cohesive Network
ICCV 2023
Dual Meta-Learning with Longitudinally Consistent Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
ICCV 2023
ImpDet: Exploring Implicit Fields for 3D Object Detection
WACV 2023
Two-Stage Octave Residual Network for End-to-End Image Compression
AAAI 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
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger
ECCV 2022
Wav2vec-S: Semi-Supervised Pre-Training for Low-Resource ASR
INTERSPEECH 2022
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving
AAAI 2022
Privacy-Preserving Face Recognition in the Frequency Domain
AAAI 2022
DARE: Disentanglement-Augmented Rationale Extraction
NIPS 2022
Weighted Mutual Learning with Diversity-Driven Model Compression
NIPS 2022
HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies
NIPS 2022
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation
ICLR 2022
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
IJCAI 2022
Depth-Conditioned Dynamic Message Propagation for Monocular 3D Object Detection
CVPR 2021
Progressive Coordinate Transforms for Monocular 3D Object Detection
NIPS 2021
A Partial Label Metric Learning Algorithm for Class Imbalanced Data
ACML 2021
Preference-Adaptive Meta-Learning for Cold-Start Recommendation
IJCAI 2021
Text Anchor Based Metric Learning for Small-Footprint Keyword Spotting
INTERSPEECH 2021
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
AAAI 2020
Dual Super-Resolution Learning for Semantic Segmentation
CVPR 2020
Domain Adaptation Using Class Similarity for Robust Speech Recognition
INTERSPEECH 2020
A Spatial RNN Codec for End-to-End Image Compression
CVPR 2020
Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks
AAAI 2020
Show, Recall, and Tell: Image Captioning with Recall Mechanism
AAAI 2020
Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement
AAAI 2020
Towards Discriminative Representations and Unbiased Predictions: Class-Specific Angular Softmax for Speech Emotion Recognition
INTERSPEECH 2019
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning
AAAI 2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
NIPS 2019
Learning Actor Relation Graphs for Group Activity Recognition
CVPR 2019
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation
AAAI 2019
Speaker-Invariant Feature-Mapping for Distant Speech Recognition via Adversarial Teacher-Student Learning
INTERSPEECH 2019
Multi-Accent Adaptation Based on Gate Mechanism
INTERSPEECH 2019
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization
IJCAI 2018
On the Flatness of Loss Surface for Two-layered ReLU Networks
ACML 2017
Tracklet Association with Online Target-Specific Metric Learning
CVPR 2014
Towards Ultrahigh Dimensional Feature Selection for Big Data
JMLR 2014
Riemannian Pursuit for Big Matrix Recovery
ICML 2014
How Noisy Social Media Text, How Diffrnt Social Media Sources?
IJCNLP 2013
The Utility of Discourse Structure in Identifying Resolved Threads in Technical User Forums
COLING 2012
Predicting Thread Discourse Structure over Technical Web Forums
EMNLP 2011
Tagging and Linking Web Forum Posts
CONLL 2010