Jianlong Wu

22 papers · 2018–2026 · 7 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird

🌍 Conference Polyglot (7) 🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🗃️ Keyword Collector (119) 🚀 Conference Pioneer 💎 Century Club (21) 🔥 Unstoppable (8) 📈 Trend Setter ⚡ Prolific Year (6)

Conferences

AAAI (4) CVPR (4) ECCV (4) ACL (3) ICCV (3) ICML (2) NIPS (2)

Top co-authors

Liqiang Nie (9) Zhouchen Lin (9) Yibo Yang (5) Xiaojie Li (5) Xia Li (4) Xingyu Xie (4) Fei Wang (4) Chen Qian (4) Tian Gan (3) Hongbin Zha (3)

Research topics

Core AI (1)

Keywords

semantic segmentation (3) neural network (3) contrastive learning (2) multimodal learning (2) feature representation (2) video understanding (2) image clustering (2) model compression (2) representation learning (2) knowledge distillation (2) catastrophic forgetting (1) ensemble learning (1) function approximation (1) graph learning (1) graph laplacian (1) feature alignment (1) action recognition (1) emotion recognition (1) semi-supervised learning (1) self-supervised learning (1)

Papers

Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency AAAI 2026 DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture CVPR 2025 HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models ACL 2025 AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding ACL 2025 CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning NIPS 2024 GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning ECCV 2024 Self-adaptive Context and Modal-interaction Modeling For Multimodal Emotion Recognition ACL 2023 CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning CVPR 2023 Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation CVPR 2022 HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors ECCV 2022 High Quality Segmentation for Ultra High-Resolution Images CVPR 2022 Graph Contrastive Clustering ICCV 2021 Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families AAAI 2020 Maximum-and-Concatenation Networks ICML 2020 Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space NIPS 2020 Local Correlation Consistency for Knowledge Distillation ECCV 2020 Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering AAAI 2020 SOGNet: Scene Overlap Graph Network for Panoptic Segmentation AAAI 2020 Differentiable Linearized ADMM ICML 2019 Deep Comprehensive Correlation Mining for Image Clustering ICCV 2019 Expectation-Maximization Attention Networks for Semantic Segmentation ICCV 2019 Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining ECCV 2018