Wenwen Qiang

19 papers · 2022–2026 · 5 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🌈 Renaissance Researcher (6) 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (7) 🌉 Interdisciplinary Bridge

🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (7) 🤝 Dynamic Duo (12) 🏆 Grand Slam 🏆 Keyword Champion (3) 💎 Century Club (15) ⚡ Prolific Year (5) 🗃️ Keyword Collector (56) 🔥 Unstoppable (5)

Conferences

AAAI (8) ICML (5) ICLR (2) IJCAI (2) NIPS (2)

Top co-authors

Changwen Zheng (15) Jiangmeng Li (13) Fuchun Sun (6) Jingyao Wang (5) Hui Xiong (5) Zeen Song (5) Lingyu Si (4) Huijie Guo (3) Bing Su (3) Yanan Zhang (3)

Keywords

causal inference (6) self-supervised learning (6) structural causal model (5) contrastive learning (4) representation learning (4) graph representation (3) bi-level optimization (3) backdoor adjustment (3) knowledge distillation (2) meta learning (2) causal representation learning (2) graph neural network (2) model adaptation (1) few-shot learning (1) graph representation learning (1) feature learning (1) counterfactual reasoning (1) object detection (1) vision-language model (1) reward hacking (1)

Papers

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