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Wenwen Qiang

21 papers · 2022–2026 · 6 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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+7 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (35) 🀝 Dynamic Duo (16)
πŸ”¬ Deep Specialist (10) πŸ† Grand Slam 🌈 Renaissance Researcher (6) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (80)

Venues

AAAI (8) ICML (5) CVPR (2) ICLR (2) IJCAI (2) NeurIPS (2)

Top co-authors

Changwen Zheng (16) Jiangmeng Li (13) Fuchun Sun (6) Jingyao Wang (6) Hui Xiong (5) Zeen Song (5) Lingyu Si (4) Huijie Guo (3) Yanan Zhang (3) Bing Su (3)

Research topics

Machine Learning (15) Artificial Intelligence (13) Core AI (12) Deep Learning (11) Learning Types Β· Machine Learning (8) Learning Types Β· Deep Learning (7) Core Methods (5) Optimization & Theory (5) Application Areas (4) Architectures (4) Knowledge & Reasoning (3) Learning Paradigms Β· Artificial Intelligence (3) Reasoning (3) Computer Vision (2) Learning Paradigms Β· Machine Learning (2)

Keywords

structural causal model (7) self-supervised learning (7) causal inference (7) representation learning (5) contrastive learning (4) backdoor adjustment (3) bilevel optimization (3) graph representation (3) knowledge distillation (2) instrumental variable (2) large language model (2) domain adaptation (2) causal representation learning (2) few-shot learning (2) policy optimization (2) spurious correlation (2) meta learning (2) multimodal large language model (2) prompt tuning (2) graph neural network (2)

Papers

Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction AAAI 2026 COPO: Causal-Oriented Policy Optimization for Hallucinations of MLLMs CVPR 2026 Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration AAAI 2026 Group Causal Policy Optimization for Post-Training Large Language Models AAAI 2026 SketchRevive: Fine-Grained Pixel-to-Vector Sketch Completion with Diffusion-Prior-Guided Multimodal LLMs CVPR 2026 TMAE:Learning Targeted Multi-Agent Exploration via Causal Inference AAAI 2026 Learning Invariant Causal Mechanism from Vision-Language Models ICML 2025 On the Out-of-Distribution Generalization of Self-Supervised Learning ICML 2025 Towards the Causal Complete Cause of Multi-Modal Representation Learning ICML 2025 BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction ICLR 2024 Hacking Task Confounder in Meta-Learning IJCAI 2024 Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning AAAI 2024 Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective NeurIPS 2024 Self-Supervised Representation Learning with Meta Comprehensive Regularization AAAI 2024 Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective AAAI 2023 Rethinking skip connection model as a learnable Markov chain ICLR 2023 Robust Causal Graph Representation Learning against Confounding Effects AAAI 2023 Bootstrapping Informative Graph Augmentation via A Meta Learning Approach IJCAI 2022 Interventional Contrastive Learning with Meta Semantic Regularizer ICML 2022 MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning NeurIPS 2022 MetAug: Contrastive Learning via Meta Feature Augmentation ICML 2022