Tianqi Liu

26 papers · 2020–2026 · 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.

Achievements

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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (42) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Sprint

🤝 Dynamic Duo (12) 🌈 Renaissance Researcher (5) ⚡ Prolific Year · Prolific 💎 Century Club · Bronze 🗃️ Keyword Collector (109)

Venues

CVPR (5) ACL (4) ICCV (4) ICLR (3) ECCV (2) EMNLP (2) ICML (2) NAACL (2) AAAI (1) JMLR (1)

Top co-authors

Zhiguo Cao (12) Jialu Liu (9) Jiaming Shen (9) Zhen Qin (8) Liao Shen (7) Zihao Huang (6) Xinyi Ye (6) Huiqiang Sun (6) Rishabh Joshi (6) Michael Bendersky (5)

Research topics

Artificial Intelligence (11) Computer Vision (10) Machine Learning (10) Core AI (10) Analysis (7) Deep Learning (6) Natural Language Processing (6) Generation (6) Core Methods (5) Processing (5) Applications (4) Resources & Methods (4) Learning Types (3) Understanding (3) Reinforcement Learning (2)

Keywords

large language model (5) 3d reconstruction (4) depth estimation (3) multi-view stereo (3) novel view synthesis (3) direct preference optimization (3) preference learning (2) in-context learning (2) reinforcement learning from human feedback (2) language model alignment (2) temporal consistency (2) ensemble learning (1) mathematical reasoning (1) video captioning (1) image generation (1) volume rendering (1) optimal transport (1) chain-of-thought reasoning (1) video generation (1) zero-shot learning (1)

Papers

BokehCrafter: Taming Video Diffusion Models for Controllable Bokeh Rendering AAAI 2026 Building Math Agents with Multi-Turn Iterative Preference Learning ICLR 2025 CH3Depth: Efficient and Flexible Depth Foundation Model with Flow Matching CVPR 2025 DoF-Gaussian: Controllable Depth-of-Field for 3D Gaussian Splatting CVPR 2025 Free4D: Tuning-free 4D Scene Generation with Spatial-Temporal Consistency ICCV 2025 LiPO: Listwise Preference Optimization through Learning-to-Rank NAACL 2025 MuGS: Multi-Baseline Generalizable Gaussian Splatting Reconstruction ICCV 2025 Reward-Guided Prompt Evolving in Reinforcement Learning for LLMs ICML 2025 RRM: Robust Reward Model Training Mitigates Reward Hacking ICLR 2025 WildAvatar: Learning In-the-wild 3D Avatars from the Web CVPR 2025 3D Multi-frame Fusion for Video Stabilization CVPR 2024 DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion ECCV 2024 Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning ACL 2024 Geometry-aware Reconstruction and Fusion-refined Rendering for Generalizable Neural Radiance Fields CVPR 2024 Human Alignment of Large Language Models through Online Preference Optimisation ICML 2024 Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting NAACL 2024 Multilingual Fine-Grained News Headline Hallucination Detection EMNLP 2024 MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo ECCV 2024 PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs ACL 2024 Predicting Text Preference Via Structured Comparative Reasoning ACL 2024 Statistical Rejection Sampling Improves Preference Optimization ICLR 2024 VIEWS: Entity-Aware News Video Captioning EMNLP 2024 Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells ICCV 2023 When Epipolar Constraint Meets Non-Local Operators in Multi-View Stereo ICCV 2023 Training ELECTRA Augmented with Multi-word Selection ACL 2021 Learning Causal Networks via Additive Faithfulness JMLR 2020