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Haotong Qin

26 papers at tracked venues · 25 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Activation Manipulation Attack: Penetrating and Harmful Jailbreak Attack Against Large Vision-Language Models
  2. First-Order Error Matters: Accurate Compensation for Quantized Large Language Models
  3. TR-DQ: Time-Rotation Diffusion Quantization
  4. ARB-LLM: Alternating Refined Binarizations for Large Language Models
  5. BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
  6. DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
  7. Dual Intention Escape: Penetrating and Toxic Jailbreak Attack against Large Language Models
  8. Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction
  9. FSDP: Fast and Safe Data-Driven Overtaking Trajectory Planning for Head-to-Head Autonomous Racing Competitions
  10. Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization
  11. MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
  12. ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
  13. PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution
  14. Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
  15. S2Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
  16. SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
  17. 2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
  18. Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
    ICML 2024 · Haotong Qin
  19. BiDM: Pushing the Limit of Quantization for Diffusion Models
  20. BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
  21. Binarized Diffusion Model for Image Super-Resolution
  22. Compressing Large Language Models by Joint Sparsification and Quantization
  23. DB-LLM: Accurate Dual-Binarization for Efficient LLMs
  24. Flexible Residual Binarization for Image Super-Resolution
  25. Image Fusion via Vision-Language Model
  26. LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment