Qianru Sun
54 papers · 2017–2026 · 12 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 (82) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Topic Evolution
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Keyword Pioneer
π€
Dynamic Duo
(25)
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Conference Pioneer
π₯
Unstoppable Β· Silver
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Prolific Year Β· Prolific
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Century Club Β· Silver
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Renaissance Researcher
(7)
ποΈ
Keyword Collector
(224)
Venues
Top co-authors
Research topics
Machine Learning
(38)
Learning Types Β· Machine Learning
(28)
Artificial Intelligence
(27)
Deep Learning
(26)
Core AI
(21)
Computer Vision
(20)
Learning Types Β· Deep Learning
(19)
Application Areas
(15)
Analysis
(12)
Models
(10)
Natural Language Processing
(9)
Learning Paradigms
(8)
Core Methods
(7)
Processing
(6)
Resources & Methods
(6)
Keywords
class-incremental learning
(6)
causal inference
(5)
few-shot learning
(5)
knowledge distillation
(5)
large language model
(5)
weakly supervised learning
(4)
semantic segmentation
(4)
transfer learning
(4)
feature learning
(4)
multimodal large language model
(3)
representation learning
(3)
disentangled representation
(3)
spurious correlation
(3)
vision-language model
(3)
class activation map
(3)
zero-shot learning
(3)
catastrophic forgetting
(3)
image generation
(3)
continual learning
(3)
visual recognition
(3)
Papers
History to Future: Evolving Agent with Experience and Thought for Zero-shot Vision-and-Language Navigation
CVPR 2026
3D Question Answering via only 2D Vision-Language Models
ICML 2025
Frame-Voyager: Learning to Query Frames for Video Large Language Models
ICLR 2025
Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning
CVPR 2025
Reverse Modeling in Large Language Models
NAACL 2025
Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization
ICCV 2025
Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models
NeurIPS 2024
Exploring Diffusion Time-steps for Unsupervised Representation Learning
ICLR 2024
Few-shot Learner Parameterization by Diffusion Time-steps
CVPR 2024
Learning De-Biased Representations for Remote-Sensing Imagery
NeurIPS 2024
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement
EMNLP 2024
Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration
NeurIPS 2024
Unified Generative and Discriminative Training for Multi-modal Large Language Models
NeurIPS 2024
Unleashing Network Potentials for Semantic Scene Completion
CVPR 2024
Wakening Past Concepts Without Past Data: Class-Incremental Learning From Online Placebos
WACV 2024
Class-Incremental Exemplar Compression for Class-Incremental Learning
CVPR 2023
Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection
ICLR 2023
Extracting Class Activation Maps From Non-Discriminative Features As Well
CVPR 2023
Freestyle Layout-to-Image Synthesis
CVPR 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
NeurIPS 2023
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition
ICCV 2023
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation
NeurIPS 2023
Online Hyperparameter Optimization for Class-Incremental Learning
AAAI 2023
Semantic Scene Completion With Cleaner Self
CVPR 2023
Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
CVPR 2023
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-of-Distribution Generalization
ECCV 2022
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation
CVPR 2022
Deconfounded Visual Grounding
AAAI 2022
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data
ECCV 2022
Interventional Training for Out-Of-Distribution Natural Language Understanding
EMNLP 2022
On Mitigating Hard Clusters for Face Clustering
ECCV 2022
Translate-Train Embracing Translationese Artifacts
ACL 2022
Adaptive Aggregation Networks for Class-Incremental Learning
CVPR 2021
Causal Attention for Unbiased Visual Recognition
ICCV 2021
COSY: COunterfactual SYntax for Cross-Lingual Understanding
ACL 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition
CVPR 2021
RMM: Reinforced Memory Management for Class-Incremental Learning
NeurIPS 2021
Self-Regulation for Semantic Segmentation
ICCV 2021
Self-Supervised Learning Disentangled Group Representation as Feature
NeurIPS 2021
Transporting Causal Mechanisms for Unsupervised Domain Adaptation
ICCV 2021
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
ECCV 2020
Causal Intervention for Weakly-Supervised Semantic Segmentation
NeurIPS 2020
Feature Pyramid Transformer
ECCV 2020
Interventional Few-Shot Learning
NeurIPS 2020
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting
CVPR 2020
Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem
IJCAI 2020
Visual Commonsense R-CNN
CVPR 2020
Learning to Self-Train for Semi-Supervised Few-Shot Classification
NeurIPS 2019
Meta-Transfer Learning for Few-Shot Learning
CVPR 2019
A Hybrid Model for Identity Obfuscation by Face Replacement
ECCV 2018
Disentangled Person Image Generation
CVPR 2018
Natural and Effective Obfuscation by Head Inpainting
CVPR 2018
A Domain Based Approach to Social Relation Recognition
CVPR 2017
Pose Guided Person Image Generation
NeurIPS 2017