| 2026 | AAAI | Rethinking Video-Language Model from the Language Input Perspective. | Xiang Fang, Wanlong Fang, Changshuo Wang, Xiaoye Qu, Daizong Liu |
| 2026 | AAAI | Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs. | Xiang Fang, Wanlong Fang, Changshuo Wang, Keke Tang, Daizong Liu, Siyi Wang, Wei Ji |
| 2026 | AAAI | Spatial-Spectral Homogeneous Attacks on Physical-World Large Vision-Language Models. | Daizong Liu, Baoquan Chen, Wei Hu |
| 2026 | ACL | LearnerCoMPASS: Intelligent Tutoring System with Dynamic Cognitive Diagnosis and Multi-Model Path Planning. | Ziji Sheng, Guiyao Tie, Weidong Wang, Pan Zhou, Daizong Liu |
| 2025 | AAAI | Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network. | Xiang Fang, Wanlong Fang, Changshuo Wang, Daizong Liu, Keke Tang, Jianfeng Dong, Pan Zhou, Beibei Li |
| 2025 | AAAI | Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates. | Keke Tang, Ziyong Du, Weilong Peng, Xiaofei Wang, Daizong Liu, Ligang Liu, Zhihong Tian |
| 2025 | ACL | Cooperative or Competitive? Understanding the Interaction between Attention Heads From A Game Theory Perspective. | Xiaoye Qu, Zengqi Yu, Dongrui Liu, Wei Wei, Daizong Liu, Jianfeng Dong, Yu Cheng |
| 2025 | COLING | Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning. | Xiaoye Qu, Jiashuo Sun, Wei Wei, Daizong Liu, Jianfeng Dong, Yu Cheng |
| 2025 | CVPR | Seeing is Not Believing: Adversarial Natural Object Optimization for Hard-Label 3D Scene Attacks. | Daizong Liu, Wei Hu |
| 2025 | EMNLP | Misalignment Attack on Text-to-Image Models via Text Embedding Optimization and Inversion. | Zhijie Du, Daizong Liu, Pan Zhou |
| 2025 | EMNLP | Learning from Few Samples: A Novel Approach for High-Quality Malcode Generation. | Haijian Ma, Daizong Liu, Xiaowen Cai, Pan Zhou, Yulai Xie |
| 2025 | ICANN | Improving the Transferability of Point Cloud Attack via Spectral-Aware Admix and Optimization Designs. | Shiyu Hu, Daizong Liu, Wei Hu |
| 2025 | ICASSP | Imperceptible Transfer Attack on Large Vision-Language Models. | Xiaowen Cai, Daizong Liu, Runwei Guan, Pan Zhou |
| 2025 | ICCV | LLM-Assisted Entropy-Based Adaptive Distillation for Unsupervised Fine-Grained Visual Representation Learning. | Jianfeng Dong, Danfeng Luo, Daizong Liu, Jie Sun, Xiaoye Qu, Xun Yang, Dongsheng Liu, Xun Wang |
| 2025 | IJCNN | Exploring Disentangled Appearance-Motion Contexts for Temporal Activity Localization. | Huashuo Lei, Xiaowen Cai, Daizong Liu, Xiang Fang, Xiaoye Qu, Jianfeng Dong, Jixiang Yu, Keyan Jin |
| 2025 | IJCNN | MonoAttack: A Strong Attack Framework with Depth-Migration and Attribute-Tampering for Monocular 3D Object Detection. | Xiayue Zhang, Huashuo Lei, Daizong Liu, Xiaoye Qu, Xiang Fang, Runwei Guan, Keyan Jin |
| 2025 | IJCNN | Manipulating the Bounding Box: Multimodal Controlled Backdoor Attacks on 3D Visual Grounding Models. | Xiayue Zhang, Huashuo Lei, Daizong Liu, Xiaoye Qu, Xiang Fang, Runwei Guan, Keyan Jin |
| 2025 | SIGIR | Open-World Fine-Grained Fashion Retrieval with LLM-based Commonsense Knowledge Infusion. | Jianfeng Dong, Junwei Zhu, Daizong Liu, Xiaoye Qu, Cuizhu Bao, Zhike Han, Jixiang Zhu, Xun Wang |
| 2024 | AAAI | Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language. | Xiang Fang, Daizong Liu, Wanlong Fang, Pan Zhou, Zichuan Xu, Wenzheng Xu, Junyang Chen, Renfu Li |
| 2024 | AAAI | Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack. | Daizong Liu, Wei Hu |
| 2024 | AAAI | Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization. | Daizong Liu, Xiang Fang, Xiaoye Qu, Jianfeng Dong, He Yan, Yang Yang, Pan Zhou, Yu Cheng |
| 2024 | AAAI | Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds. | Keke Tang, Xu He, Weilong Peng, Jianpeng Wu, Yawen Shi, Daizong Liu, Pan Zhou, Wenping Wang, Zhihong Tian |
| 2024 | COLING | Towards Robust Temporal Activity Localization Learning with Noisy Labels. | Daizong Liu, Xiaoye Qu, Xiang Fang, Jianfeng Dong, Pan Zhou, Guoshun Nan, Keke Tang, Wanlong Fang, Yu Cheng |
| 2024 | ECCV | Rethinking Weakly-Supervised Video Temporal Grounding From a Game Perspective. | Xiang Fang, Zeyu Xiong, Wanlong Fang, Xiaoye Qu, Chen Chen, Jianfeng Dong, Keke Tang, Pan Zhou, Yu Cheng, Daizong Liu |
| 2024 | ECCV | FLAT: Flux-Aware Imperceptible Adversarial Attacks on 3D Point Clouds. | Keke Tang, Lujie Huang, Weilong Peng, Daizong Liu, Xiaofei Wang, Yang Ma, Ligang Liu, Zhihong Tian |
| 2024 | ECCV | Hiding Imperceptible Noise in Curvature-Aware Patches for 3D Point Cloud Attack. | Mingyu Yang, Daizong Liu, Keke Tang, Pan Zhou, Lixing Chen, Junyang Chen |
| 2024 | ICPR | Joint Top-Down and Bottom-Up Frameworks for 3D Visual Grounding. | Yang Liu, Daizong Liu, Wei Hu |
| 2023 | AAAI | Hypotheses Tree Building for One-Shot Temporal Sentence Localization. | Daizong Liu, Xiang Fang, Pan Zhou, Xing Di, Weining Lu, Yu Cheng |
| 2023 | AAAI | Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble. | Xiaoye Qu, Jun Zeng, Daizong Liu, Zhefeng Wang, Baoxing Huai, Pan Zhou |
| 2023 | CVPR | You Can Ground Earlier than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos. | Xiang Fang, Daizong Liu, Pan Zhou, Guoshun Nan |
| 2023 | CVPR | Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection. | Qianjiang Hu, Daizong Liu, Wei Hu |
| 2023 | EMNLP | Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding. | Xiang Fang, Daizong Liu, Wanlong Fang, Pan Zhou, Yu Cheng, Keke Tang, Kai Zou |
| 2023 | ICASSP | Jointly Visual- and Semantic-Aware Graph Memory Networks for Temporal Sentence Localization in Videos. | Daizong Liu, Pan Zhou |
| 2023 | ICASSP | Tracking Objects and Activities with Attention for Temporal Sentence Grounding. | Zeyu Xiong, Daizong Liu, Pan Zhou, Jiahao Zhu |
| 2023 | ICCV | Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video Retrieval. | Jianfeng Dong, Minsong Zhang, Zheng Zhang, Xianke Chen, Daizong Liu, Xiaoye Qu, Xun Wang, Baolong Liu |
| 2023 | ICCV | 3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack. | Yunbo Tao, Daizong Liu, Pan Zhou, Yulai Xie, Wei Du, Wei Hu |
| 2023 | ICDM | Matching Words for Out-of-distribution Detection. | Keke Tang, Xujian Cai, Weilong Peng, Daizong Liu, Peican Zhu, Pan Zhou, Zhihong Tian, Wenping Wang |
| 2023 | SIGIR | From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval. | Jianfeng Dong, Xiaoman Peng, Zhe Ma, Daizong Liu, Xiaoye Qu, Xun Yang, Jixiang Zhu, Baolong Liu |
| 2022 | AAAI | Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. | Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou |
| 2022 | AAAI | Unsupervised Temporal Video Grounding with Deep Semantic Clustering. | Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou |
| 2022 | AAAI | Exploring Motion and Appearance Information for Temporal Sentence Grounding. | Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu |
| 2022 | BMVC | Rethinking Graph Neural Networks for Unsupervised Video Object Segmentation. | Daizong Liu, Wei Hu |
| 2022 | COLING | Learning to Focus on the Foreground for Temporal Sentence Grounding. | Daizong Liu, Wei Hu |
| 2022 | ECCV | Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks. | Qianjiang Hu, Daizong Liu, Wei Hu |
| 2022 | EMNLP | Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding. | Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong |
| 2022 | ICIP | Gaussian Kernel-Based Cross Modal Network for Spatio-Temporal Video Grounding. | Zeyu Xiong, Daizong Liu, Pan Zhou |
| 2021 | AAAI | Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation. | Daizong Liu, Shuangjie Xu, Xiao-Yang Liu, Zichuan Xu, Wei Wei, Pan Zhou |
| 2021 | AAAI | F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation. | Daizong Liu, Dongdong Yu, Changhu Wang, Pan Zhou |
| 2021 | CVPR | Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding. | Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, Yulai Xie |
| 2021 | EMNLP | Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos. | Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou |
| 2021 | EMNLP | Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding. | Daizong Liu, Xiaoye Qu, Pan Zhou |
| 2020 | COLING | Reasoning Step-by-Step: Temporal Sentence Localization in Videos via Deep Rectification-Modulation Network. | Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou |
| 2020 | ICPR | Video-based Facial Expression Recognition using Graph Convolutional Networks. | Daizong Liu, Hongting Zhang, Pan Zhou |
| 2019 | CVPR | MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation. | Shuangjie Xu, Daizong Liu, Linchao Bao, Wei Liu, Pan Zhou |