Pei Wang
40 papers · 2013–2026 · 13 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (11) 🌍 Conference Polyglot (13) 🧭 Keyword Pioneer 🏃 Academic Marathon (12) 🌈 Renaissance Researcher (10)
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(13)
🏃
Academic Marathon
(12)
🤝
Dynamic Duo
(12)
🏆
Grand Slam
🏆
Keyword Champion
(2)
💎
Century Club
(38)
📈
Trend Setter
🚀
Conference Pioneer
⚡
Prolific Year
(6)
🗃️
Keyword Collector
(174)
🔥
Unstoppable
(8)
Conferences
CVPR (9)
EMNLP (8)
AAAI (3)
ACL (3)
COLING (3)
NIPS (3)
AISTATS (2)
ECCV (2)
ICCV (2)
ICML (2)
ICLR (1)
NAACL (1)
NSDI (1)
Top co-authors
Keywords
out-of-domain detection
(7)
dialogue system
(6)
semi-supervised learning
(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)
few-shot learning
(3)
representation learning
(3)
bayesian inference
(3)
multi-task learning
(2)
contrastive learning
(2)
machine teaching
(2)
counterfactual explanation
(2)
ood detection
(2)
probabilistic modeling
(2)
zero-shot learning
(2)
Papers
DINOv3-Powered Multi-Task Foundation Model for Quantitative Remote Sensing Estimation (Student Abstract)
AAAI 2026
ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants
ACL 2026
Scaling up Image Segmentation across Data and Tasks
CVPR 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
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models
NAACL 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
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery
ACL 2023
Towards Professional Level Crowd Annotation of Expert Domain Data
CVPR 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
Generalized Belief Transport
NIPS 2023
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
Discrete Probabilistic Inverse Optimal Transport
ICML 2022
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation
COLING 2022
Generalized Intent Discovery: Learning from Open World Dialogue System
COLING 2022
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems
EMNLP 2022
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning
EMNLP 2022
Dynamic Transfer for Multi-Source Domain Adaptation
CVPR 2021
IMAGINE: Image Synthesis by Image-Guided Model Inversion
CVPR 2021
A Machine Teaching Framework for Scalable Recognition
ICCV 2021
Rethinking and Improving the Robustness of Image Style Transfer
CVPR 2021
Gradient-Based Algorithms for Machine Teaching
CVPR 2021
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
Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments
AAAI 2020
Generalizing the theory of cooperative inference
AISTATS 2019
Deliberative Explanations: visualizing network insecurities
NIPS 2019
Towards Realistic Predictors
ECCV 2018
Optimal Cooperative Inference
AISTATS 2018
eDoctor: Automatically Diagnosing Abnormal Battery Drain Issues on Smartphones
NSDI 2013