Zhengfeng Lai

13 papers · 2022–2026 · 7 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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+3 more ↓

🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (25) 👥 Mega-Team · Squad 🗃️ Keyword Collector (60)

🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 💎 Century Club · Bronze

Venues

ICCV (3) ECCV (2) ICLR (2) ICML (2) WACV (2) ACL (1) NAACL (1)

Top co-authors

Meng Cao (7) Chen-Nee Chuah (6) Yinfei Yang (6) Bowen Zhang (5) Haotian Zhang (5) Zhe Gan (4) Hong-You Chen (3) Jiulong Shan (3) Haoping Bai (3) Xianzhi Du (3)

Research topics

Artificial Intelligence (6) Machine Learning (6) Computer Vision (5) Deep Learning (5) Core AI (5) Learning Types (5) Generation (4) Natural Language Processing (3) Application Areas (3) Models (3) Applications (2) Architectures (1) Core Methods (1) Domain-Specific (1) Learning Paradigms (1)

Keywords

text-to-video generation (2) multimodal large language model (2) unsupervised domain adaptation (2) transfer learning (2) semi-supervised learning (1) domain generalization (1) catastrophic forgetting (1) video generation (1) benchmark evaluation (1) video captioning (1) medical imaging (1) knowledge distillation (1) source-free domain adaptation (1) question answering (1) visual grounding (1) curriculum learning (1) autoregressive generation (1) question generation (1) semantic alignment (1) zero-shot learning (1)

Papers

Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning WACV 2026 Putting Captions to the Test: Evaluating Video Caption Quality through Multiple-Choice Question Answering ACL 2026 Contrastive Localized Language-Image Pre-Training ICML 2025 ETVA: Evaluation of Text-to-Video Alignment via Fine-grained Question Generation and Answering ICCV 2025 MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning ICLR 2025 MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains NAACL 2025 Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models ICLR 2025 STIV: Scalable Text and Image Conditioned Video Generation ICCV 2025 Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data ECCV 2024 Empowering Unsupervised Domain Adaptation With Large-Scale Pre-Trained Vision-Language Models WACV 2024 VeCLIP: Improving CLIP Training via Visual-enriched Captions ECCV 2024 PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation ICCV 2023 Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data ICML 2022