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Jiangmeng Li

23 papers · 2022–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (35) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer
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Conferences

AAAI (10) ICML (6) ICLR (2) NIPS (2) COLING (1) ICCV (1) IJCAI (1)

Top co-authors

Changwen Zheng (17) Wenwen Qiang (13) Fuchun Sun (6) Hui Xiong (5) Yifan Jin (5) Bing Su (5) Rui Wang (5) Lingyu Si (4) Chuxiong Sun (4) Hang Gao (4)

Keywords

causal inference (6) contrastive learning (5) graph representation (4) graph neural network (4) representation learning (4) structural causal model (4) self-supervised learning (4) knowledge distillation (2) multi-agent communication (2) graph contrastive learning (2) vision-language model (2) backdoor adjustment (2) meta learning (2) syntactic parsing (1) few-shot learning (1) graph representation learning (1) semi-supervised learning (1) prototype learning (1) robust learning (1) object detection (1)

Papers

Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models AAAI 2026 TMAE:Learning Targeted Multi-Agent Exploration via Causal Inference AAAI 2026 M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference AAAI 2026 HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning AAAI 2026 DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training ICLR 2025 Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification ICCV 2025 Rethinking the Bias of Foundation Model under Long-tailed Distribution ICML 2025 On the Out-of-Distribution Generalization of Self-Supervised Learning ICML 2025 Learning Invariant Causal Mechanism from Vision-Language Models 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 Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective NIPS 2024 Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning AAAI 2024 Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective AAAI 2024 Rethinking Causal Relationships Learning in Graph Neural Networks AAAI 2024 T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration AAAI 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 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 Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest COLING 2022 Bootstrapping Informative Graph Augmentation via A Meta Learning Approach IJCAI 2022