Haotong Qin
34 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Interdisciplinary Bridge π Conference Polyglot (9) π§ Keyword Pioneer π Cross-Pollinator (13)
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Cross-Pollinator
(13)
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Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(37)
π¬
Deep Specialist
(14)
π€
Dynamic Duo
(21)
π
Keyword Champion
(2)
π
Grand Slam
π§¬
Topic Evolution
π₯
Unstoppable
(6)
β‘
Prolific Year
(10)
ποΈ
Keyword Collector
(90)
π
Century Club
(31)
Conferences
ICML (9)
NIPS (6)
AAAI (5)
CVPR (5)
ICLR (4)
IJCAI (2)
ACL (1)
ICCV (1)
RSS (1)
Top co-authors
Research topics
Keywords
model compression
(14)
knowledge distillation
(5)
neural network binarization
(4)
image super-resolution
(4)
post-training quantization
(4)
parameter quantization
(4)
diffusion model
(4)
neural network
(3)
large language model
(3)
bitwise operation
(3)
neural network quantization
(3)
efficient computing
(3)
image generation
(2)
network binarization
(2)
low-bit quantization
(2)
model binarization
(2)
model quantization
(2)
edge computing
(2)
binary neural network
(2)
image compression
(1)
Papers
TR-DQ: Time-Rotation Diffusion Quantization
AAAI 2026
Activation Manipulation Attack: Penetrating and Harmful Jailbreak Attack Against Large Vision-Language Models
AAAI 2026
First-Order Error Matters: Accurate Compensation for Quantized Large Language Models
AAAI 2026
BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
ICLR 2025
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
AAAI 2025
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
AAAI 2025
Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization
CVPR 2025
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution
CVPR 2025
ARB-LLM: Alternating Refined Binarizations for Large Language Models
ICLR 2025
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
ICML 2025
DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
ICML 2025
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
ICML 2025
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models
RSS 2025
Binarized Diffusion Model for Image Super-Resolution
NIPS 2024
Compressing Large Language Models by Joint Sparsification and Quantization
ICML 2024
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
ICML 2024
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
ICML 2024
Flexible Residual Binarization for Image Super-Resolution
ICML 2024
Image Fusion via Vision-Language Model
ICML 2024
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
NIPS 2024
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
NIPS 2024
BiDM: Pushing the Limit of Quantization for Diffusion Models
NIPS 2024
DB-LLM: Accurate Dual-Binarization for Efficient LLMs
ACL 2024
QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution
NIPS 2023
BiMatting: Efficient Video Matting via Binarization
NIPS 2023
BiBench: Benchmarking and Analyzing Network Binarization
ICML 2023
BiFSMN: Binary Neural Network for Keyword Spotting
IJCAI 2022
Defensive Patches for Robust Recognition in the Physical World
CVPR 2022
BiBERT: Accurate Fully Binarized BERT
ICLR 2022
Towards Real-World X-Ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection
ICCV 2021
Diversifying Sample Generation for Accurate Data-Free Quantization
CVPR 2021
BiPointNet: Binary Neural Network for Point Clouds
ICLR 2021
Hardware-friendly Deep Learning by Network Quantization and Binarization
IJCAI 2021
Forward and Backward Information Retention for Accurate Binary Neural Networks
CVPR 2020