conftrace_
← Authors

Lu Hou

40 papers · 2018–2026 · 11 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+15 more ↓ 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (7) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (10)
🧭 Keyword Pioneer 🐝 Cross-Pollinator (10) 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (19) πŸ† Grand Slam πŸ‘₯ Mega-Team (30) πŸ”¬ Deep Specialist (13) 🧬 Topic Evolution πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (172) πŸ“ˆ Trend Setter ❓ The Questioner πŸ”₯ Unstoppable (8) ⚑ Prolific Year (6) πŸ’Ž Century Club (39)

Conferences

ACL (10) NIPS (6) EMNLP (5) ICLR (5) CVPR (4) AAAI (3) ICML (2) IJCNLP (2) ECCV (1) ICCV (1) NAACL (1)

Top co-authors

Xin Jiang (19) Qun Liu (17) Lifeng Shang (14) Haoli Bai (13) Wei Zhang (9) Hang Xu (6) Runhui Huang (5) Shuhuai Ren (5) Xu Sun (5) Shicheng Li (5)

Keywords

model compression (12) large language model (8) knowledge distillation (7) vision-language model (6) multimodal learning (5) model quantization (4) weight quantization (2) image-text retrieval (2) structured pruning (2) zero-shot learning (2) post-training quantization (2) multimodal large language model (2) contrastive learning (2) inference efficiency (2) feature generation (2) language model (2) video understanding (2) bert model (2) neural network optimization (2) computational efficiency (2)

Papers

Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression AAAI 2026 HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models CVPR 2025 OAC: Output-adaptive Calibration for Accurate Post-training Quantization AAAI 2025 EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions CVPR 2025 Efficient Inference for Large Language Models –Algorithm, Model, and System EMNLP 2025 Faster and Better LLMs via Latency-Aware Test-Time Scaling EMNLP 2025 ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance ICCV 2025 FlatQuant: Flatness Matters for LLM Quantization ICML 2025 Visually Guided Generative Text-Layout Pre-training for Document Intelligence NAACL 2024 Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models ICLR 2024 Extending Context Window of Large Language Models via Semantic Compression ACL 2024 IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact ACL 2024 TempCompass: Do Video LLMs Really Understand Videos? ACL 2024 TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding CVPR 2024 MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric CVPR 2024 UNIT: Unifying Image and Text Recognition in One Vision Encoder NIPS 2024 VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models ECCV 2024 Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction AAAI 2023 TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding EMNLP 2023 Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding ACL 2023 Structured Pruning for Efficient Generative Pre-trained Language Models ACL 2023 mCLIP: Multilingual CLIP via Cross-lingual Transfer ACL 2023 FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation NIPS 2023 FILIP: Fine-grained Interactive Language-Image Pre-Training ICLR 2022 Compression of Generative Pre-trained Language Models via Quantization ACL 2022 Towards Efficient Post-training Quantization of Pre-trained Language Models NIPS 2022 LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling EMNLP 2022 Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation ACL 2022 Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark NIPS 2022 Improved OOD Generalization via Adversarial Training and Pretraing ICML 2021 GhostBERT: Generate More Features with Cheap Operations for BERT ACL 2021 BinaryBERT: Pushing the Limit of BERT Quantization IJCNLP 2021 GhostBERT: Generate More Features with Cheap Operations for BERT IJCNLP 2021 Reweighting Augmented Samples by Minimizing the Maximal Expected Loss ICLR 2021 BinaryBERT: Pushing the Limit of BERT Quantization ACL 2021 TernaryBERT: Distillation-aware Ultra-low Bit BERT EMNLP 2020 DynaBERT: Dynamic BERT with Adaptive Width and Depth NIPS 2020 Normalization Helps Training of Quantized LSTM NIPS 2019 Analysis of Quantized Models ICLR 2019 Loss-aware Weight Quantization of Deep Networks ICLR 2018