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• I-LLM: Efficient Integer-only Inference For Fully-quantized Low-bit Large Language Models
  2024 · 23 citations
• Multi-modal Emotion Estimation for in-the-wild Videos
  2022 · 13 citations
• SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency Regularization
  2023 · 6 citations
• DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
  2025 · 5 citations
• Large Language Models are Not Stable Recommender Systems
  2023 · 3 citations
• Large Language Models are Not Stable Recommender Systems
  2023 · 3 citations
• Provable Benefit of Multitask Representation Learning in Reinforcement Learning
  2022 · 2 citations
• SAES-SVD: Self-adaptive Suppression Of Accumulated And Local Errors For Svd-based LLM Compression
  2026 · 1 citations
• S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation
  2020 · 1 citations
• Monkey King Bang: A Unified Scientific Multimodal Foundation Model
  2026
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
  2026
• LLM-Guided Safety Agent for Edge Robotics with an ISO-Compliant Perception-Compute-Control Architecture
  2026
• PRPO: Aligning Process Reward with Outcome Reward in Policy Optimization
  2026
• Finding Kissing Numbers with Game-theoretic Reinforcement Learning
  2025
• Metis: Training Large Language Models with Advanced Low-Bit Quantization
  2025