← Authors

Pei Wang

39 papers · 2013–2026 · 13 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (10) 🐝 Cross-Pollinator (11) πŸ—ΊοΈ Taxonomy Completionist (95) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (12) 🀝 Dynamic Duo (12) πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ’Ž Century Club (38) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (174) πŸ”₯ Unstoppable (8)

Conferences

CVPR (9) EMNLP (8) AAAI (3) COLING (3) NIPS (3) ACL (2) AISTATS (2) ECCV (2) ICCV (2) ICML (2) ICLR (1) NAACL (1) NSDI (1)

Top co-authors

Weiran Xu (12) Keqing He (12) Nuno Vasconcelos (10) Yutao Mou (10) Jingang Wang (9) Yanan Wu (8) Xiaoshuai Song (6) Patrick Shafto (6) Xunliang Cai (4) Yunsen Xian (4)

Keywords

out-of-domain detection (7) semi-supervised learning (6) dialogue system (6) intent classification (6) out-of-distribution detection (4) intent discovery (4) intent detection (4) large language model (3) cooperative inference (3) optimal transport (3) representation learning (3) few-shot learning (3) bayesian inference (3) contrastive learning (2) multi-task learning (2) counterfactual explanation (2) machine teaching (2) ood detection (2) task-oriented dialogue (2) visual explanation (2)

Papers

DINOv3-Powered Multi-Task Foundation Model for Quantitative Remote Sensing Estimation (Student Abstract) AAAI 2026
Scaling up Image Segmentation across Data and Tasks CVPR 2025
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models NAACL 2025
Enhancing Numerical Prediction of MLLMs with Soft Labeling ICCV 2025
MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models ICLR 2025
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection COLING 2024
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning ACL 2024
Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving AAAI 2024
Towards Professional Level Crowd Annotation of Expert Domain Data CVPR 2023
Generalized Belief Transport NIPS 2023
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery ACL 2023
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT EMNLP 2023
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection EMNLP 2023
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition EMNLP 2023
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning EMNLP 2022
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery EMNLP 2022
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning EMNLP 2022
Omni-DETR: Omni-Supervised Object Detection With Transformers CVPR 2022
Learning Distinctive Margin Toward Active Domain Adaptation CVPR 2022
Generalized Intent Discovery: Learning from Open World Dialogue System COLING 2022
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation COLING 2022
Discrete Probabilistic Inverse Optimal Transport ICML 2022
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems EMNLP 2022
Rethinking and Improving the Robustness of Image Style Transfer CVPR 2021
Gradient-Based Algorithms for Machine Teaching CVPR 2021
IMAGINE: Image Synthesis by Image-Guided Model Inversion CVPR 2021
A Machine Teaching Framework for Scalable Recognition ICCV 2021
Dynamic Transfer for Multi-Source Domain Adaptation CVPR 2021
Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments AAAI 2020
A mathematical theory of cooperative communication NIPS 2020
SCOUT: Self-Aware Discriminant Counterfactual Explanations CVPR 2020
Sequential Cooperative Bayesian Inference ICML 2020
Acknowledgement Entity Recognition in CORD-19 Papers EMNLP 2020
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier ECCV 2020
Deliberative Explanations: visualizing network insecurities NIPS 2019
Generalizing the theory of cooperative inference AISTATS 2019
Towards Realistic Predictors ECCV 2018
Optimal Cooperative Inference AISTATS 2018
eDoctor: Automatically Diagnosing Abnormal Battery Drain Issues on Smartphones NSDI 2013