← Authors

Qianru Sun

54 papers · 2017–2025 · 13 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (92) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (9) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) 🀝 Dynamic Duo (25) πŸ† Grand Slam 🌱 Topic Pioneer 🧬 Topic Evolution πŸ’Ž Century Club (54) πŸ“ˆ Trend Setter ⚑ Prolific Year (10) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (9) πŸ—ƒοΈ Keyword Collector (208)

Conferences

CVPR (17) NIPS (12) ECCV (6) ICCV (5) ICLR (3) AAAI (2) ACL (2) EMNLP (2) ICML (1) IJCAI (1) IJCNLP (1) NAACL (1) WACV (1)

Top co-authors

Hanwang Zhang (25) Bernt Schiele (14) Yaoyao Liu (10) Xian-Sheng Hua (8) Zhongqi Yue (8) Sicheng Yu (7) Jinhui Tang (6) Tan Wang (6) Hao Zhang (6) Dong Zhang (5)

Research topics

Privacy (1)

Keywords

class-incremental learning (6) knowledge distillation (5) few-shot learning (5) causal inference (5) weakly supervised learning (4) semantic segmentation (4) large language model (4) feature learning (4) transfer learning (4) multimodal large language model (3) representation learning (3) visual recognition (3) disentangled representation (3) spurious correlation (3) class activation map (3) zero-shot learning (3) cross-lingual transfer (3) catastrophic forgetting (3) image generation (3) continual learning (3)

Papers

Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization ICCV 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
3D Question Answering via only 2D Vision-Language Models ICML 2025
Few-shot Learner Parameterization by Diffusion Time-steps CVPR 2024
Unleashing Network Potentials for Semantic Scene Completion CVPR 2024
Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models NIPS 2024
Unified Generative and Discriminative Training for Multi-modal Large Language Models NIPS 2024
Exploring Diffusion Time-steps for Unsupervised Representation Learning ICLR 2024
Wakening Past Concepts Without Past Data: Class-Incremental Learning From Online Placebos WACV 2024
Learning De-Biased Representations for Remote-Sensing Imagery NIPS 2024
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement EMNLP 2024
Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration NIPS 2024
Semantic Scene Completion With Cleaner Self CVPR 2023
Class-Incremental Exemplar Compression for Class-Incremental Learning CVPR 2023
Extracting Class Activation Maps From Non-Discriminative Features As Well CVPR 2023
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation NIPS 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models NIPS 2023
Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection ICLR 2023
Online Hyperparameter Optimization for Class-Incremental Learning AAAI 2023
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition ICCV 2023
Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection CVPR 2023
Freestyle Layout-to-Image Synthesis CVPR 2023
Deconfounded Visual Grounding AAAI 2022
Translate-Train Embracing Translationese Artifacts ACL 2022
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation CVPR 2022
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data ECCV 2022
On Mitigating Hard Clusters for Face Clustering ECCV 2022
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-of-Distribution Generalization ECCV 2022
Interventional Training for Out-Of-Distribution Natural Language Understanding EMNLP 2022
Self-Supervised Learning Disentangled Group Representation as Feature NIPS 2021
Transporting Causal Mechanisms for Unsupervised Domain Adaptation ICCV 2021
Self-Regulation for Semantic Segmentation ICCV 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
COSY: COunterfactual SYntax for Cross-Lingual Understanding IJCNLP 2021
Adaptive Aggregation Networks for Class-Incremental Learning CVPR 2021
RMM: Reinforced Memory Management for Class-Incremental Learning NIPS 2021
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting CVPR 2020
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning ECCV 2020
Feature Pyramid Transformer ECCV 2020
Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem IJCAI 2020
Causal Intervention for Weakly-Supervised Semantic Segmentation NIPS 2020
Interventional Few-Shot Learning NIPS 2020
Visual Commonsense R-CNN CVPR 2020
Learning to Self-Train for Semi-Supervised Few-Shot Classification NIPS 2019
Meta-Transfer Learning for Few-Shot Learning CVPR 2019
Natural and Effective Obfuscation by Head Inpainting CVPR 2018
A Hybrid Model for Identity Obfuscation by Face Replacement ECCV 2018
Disentangled Person Image Generation CVPR 2018
A Domain Based Approach to Social Relation Recognition CVPR 2017
Pose Guided Person Image Generation NIPS 2017