Changsheng Li
25 papers · 2016–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (62) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Conference Pioneer
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Keyword Collector
(140)
Top co-authors
Research topics
Machine Learning
(18)
Deep Learning
(15)
Learning Types Β· Machine Learning
(13)
Artificial Intelligence
(10)
Computer Vision
(9)
Core AI
(8)
Learning Types Β· Deep Learning
(8)
Core Methods
(6)
Application Areas
(5)
Architectures
(5)
Analysis
(4)
Domain-Specific
(4)
Models
(4)
Generation
(3)
Processing
(3)
Keywords
trajectory prediction
(3)
knowledge distillation
(3)
diffusion model
(3)
convolutional neural network
(3)
autonomous driving
(3)
representation learning
(3)
feature extraction
(2)
sample selection
(2)
action recognition
(2)
weakly supervised learning
(2)
deep learning
(2)
feature learning
(1)
adversarial learning
(1)
few-shot learning
(1)
metric learning
(1)
motion planning
(1)
model compression
(1)
image segmentation
(1)
transfer learning
(1)
semantic segmentation
(1)
Papers
PhysGM: Large Physical Gaussian Model for Feed-Forward 4D Synthesis
CVPR 2026
PSA-MF: Personality-Sentiment Aligned Multi-Level Fusion for Multimodal Sentiment Analysis
AAAI 2026
Training-free Motion Factorization for Compositional Video Generation
CVPR 2026
NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations
ICCV 2025
RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models
CVPR 2025
Cross-Device Collaborative Test-Time Adaptation
NeurIPS 2024
Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching
NeurIPS 2024
Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
ICML 2024
LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations
NeurIPS 2024
On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving
CVPR 2024
BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction
NeurIPS 2023
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score
ICML 2023
Towards Open Temporal Graph Neural Networks
ICLR 2023
LRSC: Learning Representations for Subspace Clustering
AAAI 2021
Unsupervised Active Learning via Subspace Learning
AAAI 2021
Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos
AAAI 2020
On Deep Unsupervised Active Learning
IJCAI 2020
Region Focus Network for Joint Optic Disc and Cup Segmentation
AAAI 2020
Learning Transferable Self-Attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision
AAAI 2019
Residual Invertible Spatio-Temporal Network for Video Super-Resolution
AAAI 2019
Similarity Learning via Kernel Preserving Embedding
AAAI 2019
Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning
IJCAI 2018
Autoencoder Regularized Network For Driving Style Representation Learning
IJCAI 2017
Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior
IJCAI 2016
On Modeling and Predicting Individual Paper Citation Count over Time
IJCAI 2016