Shuo Chen

62 papers · 2017–2026 · 12 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (8) 🗺️ Taxonomy Completionist (97) 🌍 Conference Polyglot (11) 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (22) 👑 Triple Crown 🏆 Grand Slam 🧬 Topic Evolution 🏆 Keyword Champion (2) 🚀 Conference Pioneer ⚡ Prolific Year (12) 🗃️ Keyword Collector (266) ❓ The Questioner (2) 💎 Century Club (58) 🔥 Unstoppable (9)

Conferences

AAAI (14) NIPS (8) ICCV (7) CVPR (6) IJCAI (6) ICML (5) EMNLP (4) ICLR (4) ACL (3) ECCV (3) EACL (1) WACV (1)

Top co-authors

Jian Yang (23) Jun Li (14) Chen Gong (11) Xiang Li (9) Gang Niu (6) Masashi Sugiyama (6) Volker Tresp (6) Lei Luo (5) Jindong Gu (5) Philip Torr (4)

Research topics

Keywords

contrastive learning (6) metric learning (5) multi-agent system (4) representation learning (4) zero-shot learning (3) knowledge distillation (3) self-supervised learning (3) diffusion model (3) novel view synthesis (3) multi-modal learning (3) model compression (2) unsupervised learning (2) gradient descent (2) distribution shift (2) 3d reconstruction (2) image classification (2) video understanding (2) embedding learning (2) feature learning (2) style transfer (2)

Papers

ADAPT: Adaptive Decentralized Architecture with Perception-Aligned Training for Structural Generalization in Multi-Agent RL AAAI 2026

Kronos: A Foundation Model for the Language of Financial Markets AAAI 2026

RMLer: Synthesizing Novel Objects Across Diverse Categories via Reinforcement Mixing Learning AAAI 2026

Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules EACL 2026

Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? WACV 2025

Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning IJCAI 2025

METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding EMNLP 2025

BlinkTrack: Feature Tracking over 80 FPS via Events and Images ICCV 2025

DiST-4D: Disentangled Spatiotemporal Diffusion with Metric Depth for 4D Driving Scene Generation ICCV 2025

DimensionX: Create Any 3D and 4D Scenes from a Single Image with Decoupled Video Diffusion ICCV 2025

Volume-Aware Distance for Robust Similarity Learning ICML 2025

Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation ICML 2025

Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory AAAI 2025

Hybrid Data-Free Knowledge Distillation AAAI 2025

Modeling Inter-Intra Heterogeneity for Graph Federated Learning AAAI 2025

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction AAAI 2025

Multimodal Pragmatic Jailbreak on Text-to-image Models ACL 2025

Nuclear Deployed!: Analyzing Catastrophic Risks in Decision-making of Autonomous LLM Agents ACL 2025

Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering ICLR 2025

Remote Photoplethysmography in Real-World and Extreme Lighting Scenarios CVPR 2025

Can an Individual Manipulate the Collective Decisions of Multi-Agents? EMNLP 2025

VehicleWorld: A Highly Integrated Multi-Device Environment for Intelligent Vehicle Interaction EMNLP 2025

Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection IJCAI 2024

Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding ICML 2024

Direct Distillation between Different Domains ECCV 2024

Novel Object Synthesis via Adaptive Text-Image Harmony NIPS 2024

On the Unstable Convergence Regime of Gradient Descent AAAI 2024

CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents ICLR 2024

Robust Similarity Learning with Difference Alignment Regularization ICLR 2024

PromptKD: Unsupervised Prompt Distillation for Vision-Language Models CVPR 2024

Visual Question Decomposition on Multimodal Large Language Models EMNLP 2024

Boosting LLM Agents with Recursive Contemplation for Effective Deception Handling ACL 2024

CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model ECCV 2024

"BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events" ECCV 2024

Distortion and Uncertainty Aware Loss for Panoramic Depth Completion ICML 2023

Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration NIPS 2023

Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models NIPS 2023

Bidirectional Optical Flow NeRF: High Accuracy and High Quality under Fewer Views AAAI 2023

PVO: Panoptic Visual Odometry CVPR 2023

Distribution Shift Matters for Knowledge Distillation with Webly Collected Images ICCV 2023

IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis ICCV 2023

Creative Birds: Self-Supervised Single-View 3D Style Transfer ICCV 2023

Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination IJCAI 2022

Learning Contrastive Embedding in Low-Dimensional Space NIPS 2022

Industrial Style Transfer With Large-Scale Geometric Warping and Content Preservation CVPR 2022

Linearity-Aware Subspace Clustering AAAI 2022

Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model NIPS 2021

Social Fabric: Tubelet Compositions for Video Relation Detection ICCV 2021

Contrastive Embedding for Generalized Zero-Shot Learning CVPR 2021

Large-Margin Contrastive Learning with Distance Polarization Regularizer ICML 2021

Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution NIPS 2021

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection NIPS 2020

Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization AAAI 2020

Understanding the Disharmony between Weight Normalization Family and Weight Decay AAAI 2020

AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism AAAI 2020

GANSynth: Adversarial Neural Audio Synthesis ICLR 2019

Curvilinear Distance Metric Learning NIPS 2019

Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift CVPR 2019

ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection IJCAI 2019

Data-Adaptive Metric Learning with Scale Alignment AAAI 2019

Adversarial Metric Learning IJCAI 2018

Deep Multi-species Embedding IJCAI 2017