Changsheng Li
23 papers · 2016–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (9)
π£
Hot Topic Early Bird
π
Cross-Pollinator
(13)
πΊοΈ
Taxonomy Completionist
(57)
π
Triple Crown
π
Grand Slam
π₯
Unstoppable
(6)
π
Century Club
(22)
π
Conference Pioneer
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(119)
Conferences
AAAI (8)
IJCAI (5)
NIPS (4)
CVPR (2)
ICML (2)
ICCV (1)
ICLR (1)
Top co-authors
Keywords
representation learning
(3)
autonomous driving
(3)
convolutional neural network
(3)
knowledge distillation
(3)
trajectory prediction
(3)
sample selection
(2)
weakly supervised learning
(2)
action recognition
(2)
diffusion model
(2)
feature extraction
(2)
deep learning
(2)
feature learning
(1)
motion planning
(1)
few-shot learning
(1)
adversarial learning
(1)
metric learning
(1)
active learning
(1)
retrieval augmented generation
(1)
image segmentation
(1)
transfer learning
(1)
Papers
PSA-MF: Personality-Sentiment Aligned Multi-Level Fusion for Multimodal Sentiment Analysis
AAAI 2026
NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations
ICCV 2025
RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models
CVPR 2025
Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching
NIPS 2024
On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving
CVPR 2024
LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations
NIPS 2024
Cross-Device Collaborative Test-Time Adaptation
NIPS 2024
Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
ICML 2024
Towards Open Temporal Graph Neural Networks
ICLR 2023
BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction
NIPS 2023
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score
ICML 2023
Unsupervised Active Learning via Subspace Learning
AAAI 2021
LRSC: Learning Representations for Subspace Clustering
AAAI 2021
Region Focus Network for Joint Optic Disc and Cup Segmentation
AAAI 2020
On Deep Unsupervised Active Learning
IJCAI 2020
Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos
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