Zecheng Wang

5 papers · 2024–2026 · 5 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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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad

Venues

COLING (1) CVPR (1) EMNLP (1) ICLR (1) ICML (1)

Top co-authors

Dianbo Sui (3) Dianhui Chu (3) Deyuan Liu (2) Zhao Yang (2) Yanchao Hao (2) Chunshan Li (2) Qingbin Liu (2) Zhiying Tu (2) Xi Chen (2) Jeffrey Li (1)

Research topics

Artificial Intelligence (4) Core AI (4) Deep Learning (2) Machine Learning (2) Application Areas (2) Reinforcement Learning (1) Learning Types (1) Methods (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1) Techniques (1)

Keywords

large language model (2) model compression (1) deep reinforcement learning (1) offline reinforcement learning (1) manifold learning (1) question answering (1) pretraining (1) bayesian optimization (1) generalization (1) language model (1) synthetic data (1) decision transformer (1) computational cost (1) vision foundation model (1) chain-of-thought prompting (1) knowledge preservation (1) spatial reasoning (1) black-box model (1) vision-language modeling (1) reasoning task (1)

Papers

BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models CVPR 2026 Maximizing Intermediate Checkpoint Value in LLM Pretraining with Bayesian Optimization ICML 2025 Analyzing Chain-of-thought Prompting in Black-Box Large Language Models via Estimated V-information COLING 2024 Pre-training with Synthetic Data Helps Offline Reinforcement Learning ICLR 2024 Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging EMNLP 2024