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Shengbang Tong

16 papers · 2022–2026 · 8 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

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+8 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (38) 🀝 Dynamic Duo (10)
πŸ† Keyword Champion (3) 🧭 Keyword Pioneer 🀝 Dynamic Duo (10) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner (2) πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (83)

Venues

NeurIPS (6) ICCV (3) ICLR (2) AAAI (1) ACL (1) CVPR (1) ICML (1) JMLR (1)

Top co-authors

Yi Ma (10) Saining Xie (6) Yann LeCun (5) Yuexiang Zhai (5) Tianzhe Chu (5) xili dai (4) Ziyang Wu (3) Zhuang Liu (3) Koustuv Sinha (2) Druv Pai (2)

Research topics

Deep Learning (12) Machine Learning (12) Learning Types Β· Machine Learning (9) Artificial Intelligence (8) Architectures (8) Core AI Β· Artificial Intelligence (7) Learning Types Β· Deep Learning (6) Core Methods (5) Techniques (4) Computer Vision (3) Models (3) Application Areas (2) Core AI Β· Computer Vision (2) Learning Paradigms (2) Optimization & Theory (2)

Keywords

multimodal learning (5) self-supervised learning (5) vision-language model (4) representation learning (4) multimodal large language model (3) contrastive learning (3) visual representation learning (3) large language model (3) token compression (2) benchmark evaluation (2) transformer architecture (2) reinforcement learning (2) visual representation (2) visual reasoning (2) visual grounding (2) sparse rate reduction (2) adversarial robustness (1) feature learning (1) vision transformer (1) dimensionality reduction (1)

Papers

Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs AAAI 2026 MetaMorph: Multimodal Understanding and Generation via Instruction Tuning ICCV 2025 MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark ACL 2025 Scaling Language-Free Visual Representation Learning ICCV 2025 SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training ICML 2025 Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs NeurIPS 2024 Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning NeurIPS 2024 Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs CVPR 2024 Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning NeurIPS 2024 Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models ICLR 2024 White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? JMLR 2024 Incremental Learning of Structured Memory via Closed-Loop Transcription ICLR 2023 Mass-Producing Failures of Multimodal Systems with Language Models NeurIPS 2023 Unsupervised Manifold Linearizing and Clustering ICCV 2023 White-Box Transformers via Sparse Rate Reduction NeurIPS 2023 Revisiting Sparse Convolutional Model for Visual Recognition NeurIPS 2022