Haotong Qin

27 papers at tracked venues · 26 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-7391-7539 ↗

Venues

ICML ×8 NeurIPS ×6 AAAI ×5 CVPR ×2 ICLR ×2 ACL ×1 IROS ×1 S&P ×1 WWW ×1

Frequent coauthors

Xianglong Liu

×16

Michele Magno

×9

Jiakai Wang

×8

Jinyang Guo

×7

Yulun Zhang

×7

Aishan Liu

×4

Xingyu Zheng

×4

Zixiang Zhao

×4

Yifu Ding

×4

Haojie Hao

×3

Linghe Kong

×3

Xudong Ma

×3

Papers

Activation Manipulation Attack: Penetrating and Harmful Jailbreak Attack Against Large Vision-Language Models
AAAI 2026 ·
Haojie Hao
,
Jiakai Wang
,
Aishan Liu
,
Yuqing Ma
, Haotong Qin,
Yuanfang Guo
,
Xianglong Liu
First-Order Error Matters: Accurate Compensation for Quantized Large Language Models
AAAI 2026 ·
Xingyu Zheng
, Haotong Qin,
Yuye Li
,
Haoran Chu
,
Jiakai Wang
,
Jinyang Guo
,
Michele Magno
,
Xianglong Liu
TR-DQ: Time-Rotation Diffusion Quantization
AAAI 2026 ·
Yihua Shao
,
Deyang Lin
,
Minxi Yan
,
Siyu Chen
,
Fanhu Zeng
,
Minwen Liao
,
Ao Ma
,
Ziyang Yan
,
Haozhe Wang
,
Yan Wang
,
Zhi Chen
,
Xiaofeng Cao
, Haotong Qin,
Hao Tang
,
Jingcai Guo
ARB-LLM: Alternating Refined Binarizations for Large Language Models
ICLR 2025 ·
Zhiteng Li
,
Xianglong Yan
,
Tianao Zhang
, Haotong Qin,
Dong Xie
,
Jiang Tian
,
Zhongchao Shi
,
Linghe Kong
,
Yulun Zhang
,
Xiaokang Yang
BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
ICLR 2025 ·
Xingyu Zheng
,
Xianglong Liu
, Haotong Qin,
Xudong Ma
,
Mingyuan Zhang
,
Haojie Hao
,
Jiakai Wang
,
Zixiang Zhao
,
Jinyang Guo
,
Michele Magno
DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
ICML 2025 ·
Changyi He
,
Yifu Ding
,
Jinyang Guo
,
Ruihao Gong
, Haotong Qin,
Xianglong Liu
Dual Intention Escape: Penetrating and Toxic Jailbreak Attack against Large Language Models
WWW 2025 ·
Yanni Xue
,
Jiakai Wang
,
Zixin Yin
,
Yuqing Ma
, Haotong Qin,
Renshuai Tao
,
Xianglong Liu
Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction
NeurIPS 2025 ·
Jin Hu
,
Jiakai Wang
,
Linna Jing
,
Haolin Li
,
Haodong Liu
, Haotong Qin,
Aishan Liu
,
Ke Xu
,
Xianglong Liu
FSDP: Fast and Safe Data-Driven Overtaking Trajectory Planning for Head-to-Head Autonomous Racing Competitions
IROS 2025 ·
Cheng Hu
,
Jihao Huang
,
Wule Mao
,
Yonghao Fu
,
Xuemin Chi
, Haotong Qin,
Nicolas Baumann
,
Zhitao Liu
,
Michele Magno
,
Lei Xie
Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization
CVPR 2025 ·
Long Xu
,
Jiakai Wang
,
Haojie Hao
, Haotong Qin,
Jiejie Zhao
,
Xianglong Liu
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
AAAI 2025 ·
Weilun Feng
, Haotong Qin,
Chuanguang Yang
,
Zhulin An
,
Libo Huang
,
Boyu Diao
,
Fei Wang
,
Renshuai Tao
,
Yongjun Xu
,
Michele Magno
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
AAAI 2025 ·
Renshuai Tao
,
Manyi Le
,
Chuangchuang Tan
,
Huan Liu
, Haotong Qin,
Yao Zhao
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution
CVPR 2025 ·
Libo Zhu
,
Jianze Li
, Haotong Qin,
Wenbo Li
,
Yulun Zhang
,
Yong Guo
,
Xiaokang Yang
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
ICML 2025 ·
Weilun Feng
,
Chuanguang Yang
, Haotong Qin,
Xiangqi Li
,
Yu Wang
,
Zhulin An
,
Libo Huang
,
Boyu Diao
,
Zixiang Zhao
,
Yongjun Xu
,
Michele Magno
S2Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
NeurIPS 2025 ·
Weilun Feng
, Haotong Qin,
Chuanguang Yang
,
Xiangqi Li
,
Han Yang
,
Yuqi Li
,
Zhulin An
,
Libo Huang
,
Michele Magno
,
Yongjun Xu
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
ICML 2025 ·
Wei Huang
, Haotong Qin,
Yangdong Liu
,
Yawei Li
,
Qinshuo Liu
,
Xianglong Liu
,
Luca Benini
,
Michele Magno
,
Shiming Zhang
,
Xiaojuan Qi
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
NeurIPS 2024 ·
Kai Liu
, Haotong Qin,
Yong Guo
,
Xin Yuan
,
Linghe Kong
,
Guihai Chen
,
Yulun Zhang
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
ICML 2024 · Haotong Qin,
Xudong Ma
,
Xingyu Zheng
,
Xiaoyang Li
,
Yang Zhang
,
Shouda Liu
,
Jie Luo
,
Xianglong Liu
,
Michele Magno
BiDM: Pushing the Limit of Quantization for Diffusion Models
NeurIPS 2024 ·
Xingyu Zheng
,
Xianglong Liu
,
Yichen Bian
,
Xudong Ma
,
Yulun Zhang
,
Jiakai Wang
,
Jinyang Guo
, Haotong Qin
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
ICML 2024 ·
Wei Huang
,
Yangdong Liu
, Haotong Qin,
Ying Li
,
Shiming Zhang
,
Xianglong Liu
,
Michele Magno
,
Xiaojuan Qi
Binarized Diffusion Model for Image Super-Resolution
NeurIPS 2024 ·
Zheng Chen
, Haotong Qin,
Yong Guo
,
Xiongfei Su
,
Xin Yuan
,
Linghe Kong
,
Yulun Zhang
Compressing Large Language Models by Joint Sparsification and Quantization
ICML 2024 ·
Jinyang Guo
,
Jianyu Wu
,
Zining Wang
,
Jiaheng Liu
,
Ge Yang
,
Yifu Ding
,
Ruihao Gong
, Haotong Qin,
Xianglong Liu
DB-LLM: Accurate Dual-Binarization for Efficient LLMs
ACL 2024 ·
Hong Chen
,
Chengtao Lv
,
Liang Ding
, Haotong Qin,
Xiabin Zhou
,
Yifu Ding
,
Xuebo Liu
,
Min Zhang
,
Jinyang Guo
,
Xianglong Liu
,
Dacheng Tao
Flexible Residual Binarization for Image Super-Resolution
ICML 2024 ·
Yulun Zhang
, Haotong Qin,
Zixiang Zhao
,
Xianglong Liu
,
Martin Danelljan
,
Fisher Yu
Image Fusion via Vision-Language Model
ICML 2024 ·
Zixiang Zhao
,
Lilun Deng
,
Haowen Bai
,
Yukun Cui
,
Zhipeng Zhang
,
Yulun Zhang
, Haotong Qin,
Dongdong Chen
,
Jiangshe Zhang
,
Peng Wang
,
Luc Van Gool
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
NeurIPS 2024 ·
Ge Yang
,
Changyi He
,
Jinyang Guo
,
Jianyu Wu
,
Yifu Ding
,
Aishan Liu
, Haotong Qin,
Pengliang Ji
,
Xianglong Liu
Transferable Multimodal Attack on Vision-Language Pre-training Models
S&P 2024 ·
Haodi Wang
,
Kai Dong
,
Zhilei Zhu
, Haotong Qin,
Aishan Liu
,
Xiaolin Fang
,
Jiakai Wang
,
Xianglong Liu