Skip to content
conftrace_

Zhuang Liu

39 papers · 2017–2026 · 10 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.

Jump to papers ↓
+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (65) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team Β· Squad 🀝 Dynamic Duo (10) 🧬 Topic Evolution 🧭 Keyword Pioneer πŸ—ƒοΈ Keyword Collector (160) ❓ The Questioner (3) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze

Papers

Generative Modeling of Weights: Generalization or Memorization? CVPR 2026 PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations ACL 2026 Stronger Normalization-Free Transformers CVPR 2026 VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice CVPR 2026 A Coefficient Makes SVRG Effective ICLR 2025 A Decade's Battle on Dataset Bias: Are We There Yet? ICLR 2025 Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference NAACL 2025 Deconstructing Denoising Diffusion Models for Self-Supervised Learning ICLR 2025 Idiosyncrasies in Large Language Models ICML 2025 LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding ICML 2025 MetaMorph: Multimodal Understanding and Generation via Instruction Tuning ICCV 2025 Scaling Language-Free Visual Representation Learning ICCV 2025 Transformers without Normalization CVPR 2025 A Simple and Effective Pruning Approach for Large Language Models ICLR 2024 ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy ICML 2024 Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs CVPR 2024 Initializing Models with Larger Ones ICLR 2024 Understanding Bias in Large-Scale Visual Datasets NeurIPS 2024 ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders CVPR 2023 Dropout Reduces Underfitting ICML 2023 ImageBind: One Embedding Space To Bind Them All CVPR 2023 A ConvNet for the 2020s CVPR 2022 Anytime Dense Prediction with Confidence Adaptivity ICLR 2022 Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning AAAI 2022 Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space CVPR 2022 Enhancing Chinese Word Segmentation via Pseudo Labels for Practicability ACL 2021 Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning ICCV 2021 Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control ICLR 2021 A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation EMNLP 2020 Few Sample Knowledge Distillation for Efficient Network Compression CVPR 2020 FinBERT: A Pre-trained Financial Language Representation Model for Financial Text Mining IJCAI 2020 MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation CVPR 2020 Test-Time Training with Self-Supervision for Generalization under Distribution Shifts ICML 2020 DUT-BIM at MEDIQA 2019: Utilizing Transformer Network and Medical Domain-Specific Contextualized Representations for Question Answering ACL 2019 Few-Shot Object Detection via Feature Reweighting ICCV 2019 Rethinking the Value of Network Pruning ICLR 2019 Densely Connected Convolutional Networks CVPR 2017 DSOD: Learning Deeply Supervised Object Detectors From Scratch ICCV 2017 Learning Efficient Convolutional Networks Through Network Slimming ICCV 2017