Haotong Qin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
11
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Activation Manipulation Attack: Penetrating and Harmful Jailbreak Attack Against Large Vision-Language Models. | Haojie Hao, Jiakai Wang, Aishan Liu, Yuqing Ma, Haotong Qin, Yuanfang Guo, Xianglong Liu |
| 2026 | AAAI | TR-DQ: Time-Rotation Diffusion Quantization. | 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 |
| 2026 | AAAI | First-Order Error Matters: Accurate Compensation for Quantized Large Language Models. | Xingyu Zheng, Haotong Qin, Yuye Li, Haoran Chu, Jiakai Wang, Jinyang Guo, Michele Magno, Xianglong Liu |
| 2025 | AAAI | MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models. | Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno |
| 2025 | AAAI | ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks. | Renshuai Tao, Manyi Le, Chuangchuang Tan, Huan Liu, Haotong Qin, Yao Zhao |
| 2025 | CVPR | Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization. | Long Xu, Jiakai Wang, Haojie Hao, Haotong Qin, Jiejie Zhao, Xianglong Liu |
| 2025 | CVPR | PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution. | Libo Zhu, Jianze Li, Haotong Qin, Wenbo Li, Yulun Zhang, Yong Guo, Xiaokang Yang |
| 2025 | ICLR | ARB-LLM: Alternating Refined Binarizations for Large Language Models. | Zhiteng Li, Xianglong Yan, Tianao Zhang, Haotong Qin, Dong Xie, Jiang Tian, Zhongchao Shi, Linghe Kong, Yulun Zhang, Xiaokang Yang |
| 2025 | ICLR | BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models. | Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno |
| 2025 | ICML | SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models. | Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Qinshuo Liu, Xianglong Liu, Luca Benini, Michele Magno, Shiming Zhang, Xiaojuan Qi |
| 2025 | ICML | Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers. | Weilun Feng, Chuanguang Yang, Haotong Qin, Xiangqi Li, Yu Wang, Zhulin An, Libo Huang, Boyu Diao, Zixiang Zhao, Yongjun Xu, Michele Magno |
| 2025 | ICML | DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models. | Changyi He, Yifu Ding, Jinyang Guo, Ruihao Gong, Haotong Qin, Xianglong Liu |
| 2025 | IJCNN | RGB-Event Fusion with Self-Attention for Collision Prediction. | Pietro Bonazzi, Christian Vogt, Michael Jost, Haotong Qin, Lyes Khacef, Federico Paredes-Valls, Michele Magno |
| 2025 | IROS | FSDP: Fast and Safe Data-Driven Overtaking Trajectory Planning for Head-to-Head Autonomous Racing Competitions. | Cheng Hu, Jihao Huang, Wule Mao, Yonghao Fu, Xuemin Chi, Haotong Qin, Nicolas Baumann, Zhitao Liu, Michele Magno, Lei Xie |
| 2025 | WWW | Dual Intention Escape: Penetrating and Toxic Jailbreak Attack against Large Language Models. | Yanni Xue, Jiakai Wang, Zixin Yin, Yuqing Ma, Haotong Qin, Renshuai Tao, Xianglong Liu |
| 2024 | ACL | DB-LLM: Accurate Dual-Binarization for Efficient LLMs. | Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao |
| 2024 | ICML | Compressing Large Language Models by Joint Sparsification and Quantization. | Jinyang Guo, Jianyu Wu, Zining Wang, Jiaheng Liu, Ge Yang, Yifu Ding, Ruihao Gong, Haotong Qin, Xianglong Liu |
| 2024 | ICML | BiLLM: Pushing the Limit of Post-Training Quantization for LLMs. | Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi |
| 2024 | ICML | Accurate LoRA-Finetuning Quantization of LLMs via Information Retention. | Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno |
| 2024 | ICML | Flexible Residual Binarization for Image Super-Resolution. | Yulun Zhang, Haotong Qin, Zixiang Zhao, Xianglong Liu, Martin Danelljan, Fisher Yu |
| 2024 | ICML | Image Fusion via Vision-Language Model. | Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin, Dongdong Chen, Jiangshe Zhang, Peng Wang, Luc Van Gool |
| 2024 | SP | Transferable Multimodal Attack on Vision-Language Pre-training Models. | Haodi Wang, Kai Dong, Zhilei Zhu, Haotong Qin, Aishan Liu, Xiaolin Fang, Jiakai Wang, Xianglong Liu |
| 2023 | ICML | BiBench: Benchmarking and Analyzing Network Binarization. | Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu |
| 2022 | CVPR | An Empirical study of Data-Free Quantization's Tuning Robustness. | Hong Chen, Yuxuan Wen, Yifu Ding, Zhen Yang, Yufei Guo, Haotong Qin |
| 2022 | CVPR | Defensive Patches for Robust Recognition in the Physical World. | Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao |
| 2022 | ICLR | BiBERT: Accurate Fully Binarized BERT. | Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu |
| 2022 | IJCAI | BiFSMN: Binary Neural Network for Keyword Spotting. | Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu |
| 2021 | CVPR | Diversifying Sample Generation for Accurate Data-Free Quantization. | Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu |
| 2021 | ICCV | Towards Real-world X-ray Security Inspection: A High-Quality Benchmark And Lateral Inhibition Module For Prohibited Items Detection. | Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu |
| 2021 | ICLR | BiPointNet: Binary Neural Network for Point Clouds. | Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su |
| 2021 | IJCAI | Hardware-friendly Deep Learning by Network Quantization and Binarization. | Haotong Qin |
| 2020 | CVPR | Forward and Backward Information Retention for Accurate Binary Neural Networks. | Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song |