Bin Rao

5 papers · 2025–2026 · 3 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) ⭐ Rising Star (5)

Venues

AAAI (3) ICCV (1) IJCAI (1)

Top co-authors

Zhenning Li (5) Chengyue Wang (5) Yanchen Guan (5) Haicheng Liao (5) Jiaxun Zhang (4) Bonan Wang (3) Meixin Zhu (2) Xingcheng Liu (2) Ziyuan Pu (1) Chengyu Lin (1)

Research topics

Artificial Intelligence (5) Core AI (5) Computer Vision (3) Domain-Specific (3) Deep Learning (1) Knowledge & Reasoning (1) Machine Learning (1) Analysis (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Reasoning (1)

Keywords

autonomous driving (4) trajectory prediction (3) long-tail distribution (2) temporal reasoning (1) motion forecasting (1) diffusion model (1) spurious correlation (1) sensor noise (1) hypergraph neural network (1) interaction modeling (1) momentum contrast (1) neural network (1) vehicle interaction (1) small-world network (1) long-tail learning (1) causal inference (1) accident anticipation (1) contrastive learning (1) bayesian learning (1)

Papers

Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving AAAI 2026 Predict and Resist: Long-Term Accident Anticipation Under Sensor Noise AAAI 2026 AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction ICCV 2025 Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction IJCAI 2025 NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving AAAI 2025