Publications

† Equal Contribution, * Corresponding Author(s)

2026

  1. ECCV
    Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets?
    Dingrui Wang, Zhihao Liang, Hongyuan Ye, Zhexiao Sun, Zhaowei Lu, Yuchen Zhang, Yuyu Zhao, Yuan Gao, Marvin Seegert, Finn Rasmus Schäfer, Haotong Qin, Wei Li, Luigi Palmieri, Felix Jahncke, Mattia Piccinini, Johannes Betz
    In European Conference on Computer Vision (ECCV), 2026
    PDF
  2. ICML
    RobuQ: Pushing DiTs to W1.58A2 via Robust Activation Quantization
    Kaicheng Yang, Xun Zhang, Haotong Qin, Yucheng Lin, Kaisen Yang, Xianglong Yan, Yulun Zhang
    In International Conference on Machine Learning (ICML), 2026
    PDF Code
  3. ICML
    Q-DiT4SR: Exploration of Detail-Preserving Diffusion Transformer Quantization for Real-World Image Super-Resolution
    Xun Zhang, Kaicheng Yang, Hongliang Lu, Haotong Qin, Yong Guo, Yulun Zhang
    In International Conference on Machine Learning (ICML), 2026
    PDF Code
  4. ICML
    WorldCache: Accelerating World Models for Free via Heterogeneous Token Caching
    Weilun Feng†, Guoxin Fan†, Haotong Qin†, Chuanguang Yang, Mingqiang Wu, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Dingrui Wang, Longlong Liao, Michele Magno, Yongjun Xu
    In International Conference on Machine Learning (ICML), 2026
    PDF Code
  5. ICML
    Fast-SAM3D: 3Dfy Anything in Images but Faster
    Weilun Feng, Mingqiang Wu, Zhiliang Chen, Chuanguang Yang, Haotong Qin, Yuqi Li, Xiaokun Liu, Guoxin Fan, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu
    In International Conference on Machine Learning (ICML), 2026
    PDF Code
  6. IJCAI
    Gradient Enhancement Task Aware Post-training Quantization
    Yihua Shao, Yan Gu, Minxi Yan, Siyu Chen, Haiyang Liu, Ziyang Yan, Yongjia Li, Yan Wang, Qun Song, Hao Tang*, Haotong Qin, Jingcai Guo*, Nicu Sebe
    In International Joint Conference on Artificial Intelligence (IJCAI), 2026
    PDF Code
  7. CVPR
    AdaSVD: Singular Value Decomposition with Adaptive Mechanisms for Large Multimodal Models
    Zhiteng Li, Mingyuan Xia, Jingyuan Zhang, Zheng Hui, Haotong Qin, Linghe Kong, Yulun Zhang, Xiaokang Yang
    In Computer Vision and Pattern Recognition (CVPR), 2026
    PDF Code
  8. CVPR
    Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration
    Yujie Chen, Haotong Qin*, Zhang Zhang, Michele Magno, Luca Benini, Yawei Li*
    In Computer Vision and Pattern Recognition (CVPR) Finding, 2026
    PDF
  9. ICLR
    Quantized Visual Geometry Grounded Transformer
    Weilun Feng†, Haotong Qin†, Mingqiang Wu†, Chuanguang Yang, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu
    In International Conference on Learning Representations (ICLR), 2026
    PDF Code
  10. ICLR
    Post-Training Quantization for Video Matting
    Tianrui Zhu, Houyuan Chen, Ruihao Gong, Michele Magno, Haotong Qin*, Kai Zhang*
    In International Conference on Learning Representations (ICLR), 2026
    PDF Code
  11. ICLR
    QVGen: Pushing the Limit of Quantized Video Generative Models
    Yushi Huang, Ruihao Gong, Jing Liu, Yifu Ding, Chengtao Lv, Haotong Qin, Jun Zhang
    In International Conference on Learning Representations (ICLR), 2026
    PDF Code
  12. ICLR
    DVD-Quant: Data-free Video Diffusion Transformers Quantization
    Zhiteng Li, Hanxuan Li, Junyi Wu, Kai Liu, Haotong Qin, Linghe Kong, Guihai Chen, Yulun Zhang, Xiaokang Yang
    In International Conference on Learning Representations (ICLR), 2026
    PDF Code
  13. ICLR
    Q&C: When Quantization Meets Cache in Efficient Generation
    Xin Ding, Xin Li, Haotong Qin, Zhibo Chen
    In International Conference on Learning Representations (ICLR), 2026
    PDF
  14. ICLR
    Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models
    Tianao Zhang, Zhiteng Li, Xianglong Yan, Haotong Qin, Yong Guo, Yulun Zhang
    In International Conference on Learning Representations (ICLR), 2026
    PDF Code
  15. ICLR
    QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification
    Weilun Feng, Chuanguang Yang, Haotong Qin, Mingqiang Wu, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu
    In International Conference on Learning Representations (ICLR), 2026
    PDF Code
  16. ICLR
    PT2-LLM: Post-Training Ternarization for Large Language Models
    Xianglong Yan, ChengZhu Bao, Zhiteng Li, Tianao Zhang, Kaicheng Yang, Haotong Qin, Ruobing Xie, Xingwu Sun, Yulun Zhang
    In International Conference on Learning Representations (ICLR), 2026
    PDF Code
  17. 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
    In AAAI Conference on Artificial Intelligence (AAAI), 2026
    PDF Code
  18. 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
    In AAAI Conference on Artificial Intelligence (AAAI), 2026
    PDF
  19. 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
    In AAAI Conference on Artificial Intelligence (AAAI), 2026
    PDF
  20. TPAMI
    S2Q-VDiT+: Accurate Quantized Video Diffusion Transformer with Multi-Resolution Sampling and Structural Distillation
    Weilun Feng, Chuanguang Yang, Haotong Qin, Yuqi Li, Mingqiang Wu, Guoxin Fan, Xiangqi Li, Zhulin An, Libo Huang, Boyu Diao, Renshuai Tao, Fuzhen Zhuang, Michele Magno, Yongjun Xu, Zhigang Zeng, Tingwen Huang, Yingli Tian
    In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026
  21. TPAMI
    QuantSR+: Pushing the Limit of Quantized Image Super-Resolution Networks
    Haotong Qin, Xudong Ma, Xianglong Liu, Jie Luo, Jinyang Guo, Michele Magno, Yulun Zhang
    In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026
  22. TPAMI
    MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models With Temporal Distillation
    Weilun Feng, Chuanguang Yang, Haotong Qin, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Boyu Diao, Fuzhen Zhuang, Michele Magno, Yongjun Xu, Yingli Tian, Tingwen Huang
    In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026
    PDF
  23. JSEN
    PicoSAM3: Real-Time In-Sensor Region-of-Interest Segmentation
    Pietro Bonazzi, Nicola Farronato, Stefan Zihlmann, Haotong Qin, Michele Magno
    In IEEE Sensors Journal, 2026
    PDF
  24. VI
    An Empirical Study of Qwen3 Quantization
    Xingyu Zheng, Yuye Li, Haoran Chu, Yue Feng, Xudong Ma, Jie Luo, Jinyang Guo, Haotong Qin*, Michele Magno, Xianglong Liu
    In Visual Intelligence (VI), 2026
    PDF Code
  25. Book
    Advances in Artificial Intelligence: Efficiency, Reliability, and Innovations in Machine Learning to Healthcare, and Blockchain
    Jingfeng Zhang, Joey Zhou, Rosa Qi Yue So, Takaharu Yaguchi, Kentaroh Toyoda, Andong Wang, Peilun Dai, Haotong Qin, Xingyu Zheng
    Part of the book series: Adaptation, Learning, and Optimization (ALO, volume 28), 2026
    Link

2025

  1. NeurIPS
    S2Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
    Weilun Feng†, Haotong Qin†, Chuanguang Yang, Xiangqi Li, Han Yang, Yuqi Li, Zhulin An, Libo Huang, Michele Magno, Yongjun Xu
    In Conference on Neural Information Processing Systems (NeurIPS), 2025
    PDF Code
  2. NeurIPS
    Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction
    Jin Hu, Jiakai Wang, Linna Jing, Haolin Li, Haodong Liu, Haotong Qin, Aishan Liu, Ke Xu, Xianglong Liu
    In Conference on Neural Information Processing Systems (NeurIPS), 2025
    PDF Code
  3. 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*
    In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS Oral), 2025
    PDF Code
  4. 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*
    In International Conference on Machine Learning (ICML), 2025
    PDF Code
  5. 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
    In International Conference on Machine Learning (ICML), 2025
    PDF Code
  6. ICML
    DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
    Changyi He, Yifu Ding, Jinyang Guo, Ruihao Gong, Haotong Qin, Xianglong Liu
    In International Conference on Machine Learning (ICML), 2025
    PDF
  7. RSS
    Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models
    Nicolas Baumann, Cheng Hu, Paviththiren Sivasothilingam, Haotong Qin, Lei Xie, Michele Magno, Luca Benini
    In Robotics: Science and Systems (RSS), 2025
    PDF Code
  8. CVPR
    PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution
    Libo Zhu, Jianze Li, Haotong Qin*, Yulun Zhang*, Yong Guo, Xiaokang Yang
    In Computer Vision and Pattern Recognition (CVPR), 2025
    PDF Code
  9. CVPR
    Harnessing Global-local Collaborative Adversarial Perturbation for Anti-Customization
    Long Xu, Jiakai Wang, Haojie Hao, Haotong Qin, Jiejie Zhao, Xianglong Liu
    In Computer Vision and Pattern Recognition (CVPR), 2025
    PDF Code
  10. 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
    In International Conference on Learning Representations (ICLR), 2025
    PDF Code
  11. 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
    In International Conference on Learning Representations (ICLR), 2025
    PDF Code
  12. 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
    In AAAI Conference on Artificial Intelligence (AAAI Oral), 2025
    PDF Code
  13. 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
    In AAAI Conference on Artificial Intelligence (AAAI Oral), 2025
    PDF
  14. WWW
    Dual Intention Escape: Jailbreak Attack against Large Language Models
    Yanni Xue, Jiakai Wang, Zixin Yin, Yuqing Ma, Haotong Qin, Renshuai Tao, Xianglong Liu
    In ACM Web Conference (WWW Oral), 2025
    PDF
  15. IJCAIW
    Event-Priori-Based Vision-Language Model for Efficient Visual Understanding
    Haotong Qin, Cheng Hu, Michele Magno
    In International Joint Conference on Artificial Intelligence Workshop (IJCAI-GLOW Best Paper Award), 2025
    PDF
  16. Sensors
    PicoSAM2: Low-Latency Segmentation In-Sensor for Edge Vision Applications
    Pietro Bonazzi, Nicola Farronato, Stefan Zihlmann, Haotong Qin, Michele Magno
    In IEEE Sensors (Outstanding Lecture Award), 2025
    PDF Code
  17. IJCNN
    RGB-Event Fusion with Self-Attention for Collision Prediction
    Pietro Bonazzi, Christian Vogt, Michael Jost, Haotong Qin, Lyes Khacef, Federico Paredes-Valles, Michele Magno
    In International Joint Conference on Neural Networks (IJCNN), 2025
    PDF Code
  18. TPAMI
    BiVM: Accurate Binarized Neural Network for Efficient Video Matting
    Haotong Qin, Xianglong Liu, Xudong Ma, Lei Ke, Yulun Zhang, Jie Luo, Michele Magno
    In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
    PDF
  19. TPAMI
    DynamicPAE: Generating Scene-Aware Physical Adversarial Examples in Real-Time
    Jin Hu, Xianglong Liu, Jiakai Wang, Junkai Zhang, Xianqi Yang, Haotong Qin, Yuqing Ma, Ke Xu
    In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
    PDF
  20. TIFS
    SAGNet: Decoupling Semantic-Agnostic Artifacts from Limited Training Data for Robust Generalization in Deepfake Detection
    Renshuai Tao, Chuangchuang Tan, Huan Liu, Jiakai Wang, Haotong Qin*, Yakun Chang, Wei Wang, Rongrong Ni, Yao Zhao
    In IEEE Transactions on Information Forensics and Security (TIFS), 2025
    Code
  21. SCIS
    LEDNet: A Multimodal Foundation Model for Robust Deepfake Detection
    Renshuai Tao, Shijie Tang, Haotong Qin*, Wei Wang, Yunchao Wei, Yao Zhao
    In SCIENCE CHINA Information Sciences (SCIS), 2025
    PDF Code
  22. NN
    A survey of low-bit large language models: Basics, systems, and algorithms
    Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Yang Yong, Shiqiao Gu, Haotong Qin, Jinyang Guo, Dahua Lin, Michele Magno, Xianglong Liu
    In Neural Networks (NN), 2025
    PDF
  23. TRE
    Hierarchical Graph Construction for Station-Free Traffic Demand Prediction
    Jinyan Hou, Shan Liu, Ya Zhang, Haotong Qin
    In Transportation Research Part E (TRE), 2025

2024

  1. NeurIPS
    Binarized Diffusion Model for Image Super-Resolution
    Zheng Chen, Haotong Qin*, Yong Guo, Xiongfei Su, Xin Yuan, Linghe Kong, Yulun Zhang*
    In Conference on Neural Information Processing Systems (NeurIPS), 2024
    PDF Code
  2. NeurIPS
    BiDM: Pushing the Limit of Quantization for Diffusion Models
    Xingyu Zheng, Xianglong Liu, Yichen Bian, Xudong Ma, Yulun Zhang, Jiakai Wang, Jinyang Guo, Haotong Qin
    In Conference on Neural Information Processing Systems (NeurIPS), 2024
    PDF Code
  3. NeurIPS
    2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
    Kai Liu, Haotong Qin, Yong Guo, Xin Yuan, Linghe Kong, Guihai Chen, Yulun Zhang
    In Conference on Neural Information Processing Systems (NeurIPS), 2024
    PDF Code
  4. NeurIPS
    LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
    Jinyang Guo, Ge Yang, Changyi He, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu
    In Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS Spotlight), 2024
    PDF Code
  5. 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
    In International Conference on Machine Learning (ICML Oral), 2024
    PDF Code
  6. 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
    In International Conference on Machine Learning (ICML), 2024
    PDF Code IEEE Spectrum
  7. ICML
    Flexible Residual Binarization for Image Super-Resolution
    Yulun Zhang†, Haotong Qin†, Zixiang Zhao, Xianglong Liu, Martin Danelljan, Fisher Yu
    In International Conference on Machine Learning (ICML), 2024
    PDF
  8. 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
    In International Conference on Machine Learning (ICML), 2024
    PDF Code
  9. 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
    In International Conference on Machine Learning (ICML), 2024
    PDF Code
  10. 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
    In Annual Meeting of the Association for Computational Linguistics (ACL Finding), 2024
    PDF
  11. IEEE S&P
    Transferable Multimodal Attack on Vision-Language Pre-training Models
    Haodi Wang, Jiakai Wang, Kai Dong, Zhilei Zhu, Haotong Qin, Xiaolin Fang, Aishan Liu, Xianglong Liu
    In IEEE Symposium on Security and Privacy (S&P), 2024
    PDF Code
  12. VI
    An Empirical Study of LLaMA3 Quantization: From LLMs to MLLMs
    Wei Huang, Xingyu Zheng, Xudong Ma, Haotong Qin*, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno
    In Visual Intelligence (VI), 2024
    PDF Code Models
  13. IJCV
    Generate Transferable Adversarial Physical Camouflages via Triplet Attention Suppression
    Jiakai Wang, Xianglong Liu, Zixin Yin, Yuxuan Wang, Jun Guo, Haotong Qin, Qingtao Wu, Aishan Liu
    In International Journal of Computer Vision (IJCV), 2024

2023

  1. NeurIPS
    QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution
    Haotong Qin†, Yulun Zhang†, Yifu Ding, Yifan Liu, Xianglong Liu, Martin Danelljan, Fisher Yu
    In Conference on Neural Information Processing Systems (NeurIPS Spotlight), 2023
    PDF Code
  2. NeurIPS
    BiMatting: Efficient Video Matting via Binarization
    Haotong Qin†, Lei Ke†, Xudong Ma, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Xianglong Liu, Fisher Yu
    In Conference on Neural Information Processing Systems (NeurIPS), 2023
    PDF Code
  3. ICML
    BiBench: Benchmarking and Analyzing Network Binarization
    Haotong Qin†, Mingyuan Zhang†, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu
    In International Conference on Machine Learning (ICML), 2023
    PDF Code
  4. CVPRW
    Benchmarking the Robustness of Quantized Models
    Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin
    In Computer Vision and Pattern Recognition Workshop (CVPRW), 2023
    PDF
  5. TPAMI
    Diverse Sample Generation: Pushing the Limit of Generative Data-free Quantization
    Haotong Qin, Yifu Ding, Xiangguo Zhang, Jiakai Wang, Xianglong Liu, Jiwen Lu
    In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
    PDF Code
  6. IJCV
    Distribution-sensitive Information Retention for Accurate Binary Neural Network
    Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu
    In International Journal of Computer Vision (IJCV), 2023
    PDF
  7. IJCV
    Towards Defending Multiple Lp-norm Bounded Adversarial Perturbations via Gated Batch Normalization
    Aishan Liu, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, Dacheng Tao
    In International Journal of Computer Vision (IJCV), 2023
    PDF
  8. TNNLS
    BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance
    Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu
    In IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
    PDF Code
  9. MIR
    How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges
    Haotong Qin†, Ge-Peng Ji†, Salman Khan, Deng-Ping Fan, Fahad Shahbaz Khan, Luc Van Gool
    In Machine Intelligence Research (MIR), 2023
    PDF Code
  10. SCIS
    SeeMore: a Spatio-temporal Predictive Model with Bidirectional Distillation and Level-specific Meta Adaptation
    Yuqing Ma, Wei Liu, Yajun Gao, Yang Yuan, Shihao Bai, Haotong Qin, Xianglong Liu
    In SCIENCE CHINA Information Sciences (SCIS), 2023
    PDF Code
  11. VI
    RobustMQ: Benchmarking Robustness of Quantized Models
    Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu
    In Visual Intelligence (VI), 2023
    PDF

2022

  1. ICLR
    BiBERT: Accurate Fully Binarized BERT
    Haotong Qin†, Yifu Ding†, Mingyuan Zhang†, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu
    In International Conference on Learning Representations (ICLR), 2022
    PDF Code
  2. 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
    In International Joint Conference on Artificial Intelligence (IJCAI), 2022
    PDF Code
  3. CVPRW
    An Empirical Study of Data-Free Quantization's Tuning Robustness
    Hong Chen, Yuxuan Wen, Yifu Ding, Zhen Yang, Yufei Guo, Haotong Qin*
    In Computer Vision and Pattern Recognition Workshop (CVPRW), 2022
    PDF
  4. ACM MM
    Towards Accurate Post-Training Quantization for Vision Transformer
    Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu
    In ACM Multimedia (ACM MM), 2022
    PDF
  5. CVPR
    Defensive Patches for Robust Recognition in the Physical World
    Jiakai Wang, Zixin Yin, Pengfei Hu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao, Aishan Liu
    In Computer Vision and Pattern Recognition (CVPR), 2022
    PDF Code

2021

  1. ICLR
    BiPointNet: Binary Neural Network for Point Clouds
    Haotong Qin†, Zhongang Cai†, Mingyuan Zhang†, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su
    In International Conference on Learning Representations (ICLR), 2021
    PDF Code
  2. 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
    In Computer Vision and Pattern Recognition (CVPR Oral), 2021
    PDF Code
  3. IJCAIDC
    Hardware-friendly Deep Learning by Network Quantization and Binarization
    Haotong Qin
    In International Joint Conference on Artificial Intelligence Doctoral Consortium (IJCAIDC), 2021
    PDF
  4. 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
    In International Conference on Computer Vision (ICCV), 2021
    PDF Code
  5. MMW
    Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization
    Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo, Renshuai Tao, Haotong Qin
    In ACM Multimedia Workshop (ACM MMW), 2021
    PDF
  6. ICME
    Multi-Pretext Attention Network for Few-shot Learning with Self-supervision
    Hainan Li, Renshuai Tao, Jun Li, Haotong Qin, Yifu Ding, Shuo Wang, Xianglong Liu
    In International Conference on Multimedia and Expo (ICME), 2021
    PDF
  7. JVCI
    Sequential Alignment Attention Model for Scene Text Recognition
    Yan Wu, Jiaxin Fan, Renshuai Tao, Jiakai Wang, Haotong Qin, Aishan Liu, Xianglong Liu
    In Journal of Visual Communication and Image Representation (JVCI), 2021
    PDF

2020

  1. 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
    In Computer Vision and Pattern Recognition (CVPR), 2020
    PDF Code
  2. PR
    Binary Neural Networks: A Survey
    Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe
    In Pattern Recognition (PR), 2020
    PDF Code
  3. TMM
    Boosting Temporal Binary Coding for Large-scale Video Search
    Yan Wu, Xianglong Liu, Haotong Qin, Ke Xia, Sheng Hu, Yuqing Ma, Meng Wang
    In IEEE Transactions on Multimedia (TMM), 2020
    PDF