Yujian Liu

12 papers · 2022–2026 · 9 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 ↓

+2 more ↓

🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (25) 🐣 Hot Topic Early Bird 🗃️ Keyword Collector (60)

🔥 Unstoppable · Bronze 💎 Century Club · Bronze

Venues

EMNLP (3) CVPR (2) EACL (1) ICCV (1) ICLR (1) ICML (1) IJCAI (1) NAACL (1) NeurIPS (1)

Top co-authors

Yang Zhang (9) Shiyu Chang (9) Tommi Jaakkola (3) Handong Zhao (3) Trung Bui (2) Lu Wang (2) Xinliang Frederick Zhang (2) Tong Yu (2) Nick Beauchamp (2) Jiabao Ji (2)

Research topics

Artificial Intelligence (7) Core AI (7) Machine Learning (6) Natural Language Processing (5) Computer Vision (3) Deep Learning (3) Application Areas (3) Applications (3) Generation (3) Models (3) Optimization & Theory (3) Resources & Methods (3) Core Methods (2) Learning Types (2) Architectures (1)

Keywords

large language model (4) diffusion model (3) machine unlearning (2) knowledge editing (2) pose estimation (1) particle filtering (1) catastrophic forgetting (1) object detection (1) image generation (1) text-to-image synthesis (1) epistemic uncertainty (1) stance detection (1) question answering (1) image editing (1) text-to-image generation (1) style transfer (1) knowledge unlearning (1) training efficiency (1) few-shot learning (1) reinforcement learning (1)

Papers

A Reinforcement Learning Framework for Robust and Secure LLM Watermarking EACL 2026 Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion EMNLP 2025 Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning ICLR 2025 SyncAnimation: A Real-Time End-to-End Framework for Audio-Driven Human Pose and Talking Head Animation IJCAI 2025 Correcting Diffusion Generation through Resampling CVPR 2024 Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling ICML 2024 Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NeurIPS 2024 Revisiting Who’s Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective EMNLP 2024 All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison EMNLP 2023 Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis ICCV 2023 Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models CVPR 2023 POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection NAACL 2022