Qi Wang
79 papers · 2017–2026 · 12 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 31 separate collaboration groups - the largest holds only 23% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Qi Wang?
13 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Herke van Hoof, Marco Federici
4 papers
· 2020–2023
· ICML, ICLR, NeurIPS
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Bridge the Inference Gaps of Neural Processes via Expectation Maximization
ICLR 2023
Learning Expressive Meta-Representations with Mixture of Expert Neural Processes
NeurIPS 2022
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search
ICML 2022
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables
ICML 2020
18 papers whose co-authors appear nowhere else under this name
AbductiveMLLM: Boosting Visual Abductive Reasoning Within MLLMs
AAAI 2026
CoGrad3D: Spatially-Coupled Timestep Optimization with Orthogonal Gradient Fusion for 3D Generation
AAAI 2026
Exploring Generalizable Remote Sensing Change Detection via Low-Rank Exchange Adaptation of Vision Foundation Model
AAAI 2026
MoCapAnything: Unified 3D Motion Capture for Arbitrary Skeletons from Monocular Videos
CVPR 2026
OmniZip: Learning a Unified and Lightweight Lossless Compressor for Multi-Modal Data
CVPR 2026
Slender3D: Curve-Guided Multi-View Reconstruction of Slender Structures
AAAI 2026
Symphony-MoE: Harmonizing Disparate Pre-trained Models into a Coherent Mixture-of-Experts
AAAI 2026
TAPO: Dynamic Teacher and Perturbed Answer Injection for Policy Optimization
AAAI 2026
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-Scale Reinforcement Learning in Autonomous Driving
CVPR 2025
GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic
AAAI 2025
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
ICML 2025
TAD-E2E: A Large-scale End-to-end Autonomous Driving Dataset
ICCV 2025
An Incremental Clustering Baseline for Event Detection on Twitter
EMNLP 2024
FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on
IJCAI 2024
MuChin: A Chinese Colloquial Description Benchmark for Evaluating Language Models in the Field of Music
IJCAI 2024
Resource-Aware Federated Self-Supervised Learning with Global Class Representations
NeurIPS 2024
Episodic Multi-Task Learning with Heterogeneous Neural Processes
NeurIPS 2023
Knowledge-Enhanced Named Entity Disambiguation for Short Text
AACL 2020