Bei Liu

27 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (10)

🌍 Conference Polyglot (8) 🏃 Academic Marathon (6) 🌈 Renaissance Researcher (6) 🤝 Dynamic Duo (11) 🧬 Topic Evolution 🏆 Keyword Champion 💎 Century Club (23) ⚡ Prolific Year (6) 🔥 Unstoppable (5) 🗃️ Keyword Collector (113)

Conferences

INTERSPEECH (9) ACL (4) CVPR (3) ICCV (3) NIPS (3) AAAI (2) WACV (2) ICLR (1)

Top co-authors

Jianlong Fu (11) Yanmin Qian (9) Zhengyang Chen (4) Hongwei Xue (4) Jiacheng Liu (4) Yuchong Sun (3) Sirui Han (3) Hao Gu (3) Qiyuan Zhu (3) Ruihua Song (3)

Keywords

speaker verification (8) model compression (5) convolutional neural network (4) large language model (3) embedding learning (3) residual network (3) multimodal learning (3) speaker embedding (3) video generation (2) neural network quantization (2) generative adversarial network (2) zero-shot learning (2) cross-modal alignment (2) representation learning (2) attention mechanism (2) lightweight model (2) ai education (1) vision transformer (1) domain adaptation (1) semantic segmentation (1)

Papers

DesireKV: Decoupling Sensitivity and Importance for Reasoning-Aware KV Cache Compression AAAI 2026 Adaptive Spatial and Temporal Redundancy Optimization for Efficient Reasoning in Large Language Models ACL 2026 BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook ACL 2026 Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs ACL 2026 Transferring Foundation Models for Generalizable Robotic Manipulation WACV 2025 Revisiting Latent Space of GAN Inversion for Robust Real Image Editing WACV 2024 SparseWAV: Fast and Accurate One-Shot Unstructured Pruning for Large Speech Foundation Models INTERSPEECH 2024 CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Alignment ICLR 2023 Extremely Low Bit Quantization for Mobile Speaker Verification Systems Under 1MB Memory INTERSPEECH 2023 ECAPA++: Fine-grained Deep Embedding Learning for TDNN Based Speaker Verification INTERSPEECH 2023 Reversible Neural Networks for Memory-Efficient Speaker Verification INTERSPEECH 2023 Build a SRE Challenge System: Lessons from VoxSRC 2022 and CNSRC 2022 INTERSPEECH 2023 Adaptive Neural Network Quantization For Lightweight Speaker Verification INTERSPEECH 2023 Develop AI Teaching and Learning Resources for Compulsory Education in China AAAI 2023 MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation CVPR 2023 Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations ICCV 2023 SINC: Self-Supervised In-Context Learning for Vision-Language Tasks ICCV 2023 Dual Path Embedding Learning for Speaker Verification with Triplet Attention INTERSPEECH 2022 Long-Form Video-Language Pre-Training with Multimodal Temporal Contrastive Learning NIPS 2022 Debiasing Event Understanding for Visual Commonsense Tasks ACL 2022 Advancing High-Resolution Video-Language Representation With Large-Scale Video Transcriptions CVPR 2022 Attentive Feature Fusion for Robust Speaker Verification INTERSPEECH 2022 DF-ResNet: Boosting Speaker Verification Performance with Depth-First Design INTERSPEECH 2022 Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training NIPS 2021 Seeing Out of the Box: End-to-End Pre-Training for Vision-Language Representation Learning CVPR 2021 Searching the Search Space of Vision Transformer NIPS 2021 WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection ICCV 2019