Modeling Mutual Visibility Relationship in Pedestrian Detection. - Wanli Ouyang; Xingyu Zeng; Xiaogang Wang 001 (CVPR, 2013)

Multi-stage Contextual Deep Learning for Pedestrian Detection. - Xingyu Zeng; Wanli Ouyang; Xiaogang Wang 001 (ICCV, 2013)

Deep Learning of Scene-Specific Classifier for Pedestrian Detection. - Xingyu Zeng; Wanli Ouyang; Meng Wang; Xiaogang Wang 001 (ECCV (3), 2014)

DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection. - Wanli Ouyang; Ping Luo 002; Xingyu Zeng; Shi Qiu; Yonglong Tian; Hongsheng Li 001; Shuo Yang 003; Zhe Wang 006; Yuanjun Xiong; Chen Qian 006; Zhenyao Zhu; Ruohui Wang; et al. (CoRR, 2014)

DeepID-Net: Deformable deep convolutional neural networks for object detection. - Wanli Ouyang; Xiaogang Wang 001; Xingyu Zeng; Shi Qiu; Ping Luo 002; Yonglong Tian; Hongsheng Li 001; Shuo Yang 003; Zhe Wang 006; Chen Change Loy; Xiaoou Tang (CVPR, 2015)

Learning Deep Representation with Large-Scale Attributes. - Wanli Ouyang; Hongyang Li 001; Xingyu Zeng; Xiaogang Wang 001 (ICCV, 2015)

Window-Object Relationship Guided Representation Learning for Generic Object Detections. - Xingyu Zeng; Wanli Ouyang; Xiaogang Wang 001 (CoRR, 2015)

Single-Pedestrian Detection Aided by Two-Pedestrian Detection. - Wanli Ouyang; Xingyu Zeng; Xiaogang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Gated Bi-directional CNN for Object Detection. - Xingyu Zeng; Wanli Ouyang; Bin Yang 022; Junjie Yan; Xiaogang Wang 001 (ECCV (7), 2016)

Learning Mutual Visibility Relationship for Pedestrian Detection with a Deep Model. - Wanli Ouyang; Xingyu Zeng; Xiaogang Wang 001 (Int. J. Comput. Vis., 2016)

Partial Occlusion Handling in Pedestrian Detection With a Deep Model. - Wanli Ouyang; Xingyu Zeng; Xiaogang Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2016)

DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks. - Wanli Ouyang; Xingyu Zeng; Xiaogang Wang 001; Shi Qiu; Ping Luo 002; Yonglong Tian; Hongsheng Li 001; Shuo Yang 003; Zhe Wang 006; Hongyang Li 001; Kun Wang; Junjie Yan; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Visual Importance and Distortion Guided Deep Image Quality Assessment Framework. - Jingwei Guan; Shuai Yi; Xingyu Zeng; Wai-Kuen Cham; Xiaogang Wang 001 (IEEE Trans. Multim., 2017)

Webshell Traffic Detection With Character-Level Features Based on Deep Learning. - Hua Zhang 001; Hongchao Guan; Hanbing Yan; Wenmin Li 001; Yuqi Yu; Hao Zhou; Xingyu Zeng (IEEE Access, 2018)

Crafting GBD-Net for Object Detection. - Xingyu Zeng; Wanli Ouyang; Junjie Yan; Hongsheng Li 001; Tong Xiao; Kun Wang; Yu Liu 015; Yucong Zhou; Bin Yang 022; Zhe Wang 006; Hui Zhou 005; Xiaogang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos. - Kai Kang; Hongsheng Li 001; Junjie Yan; Xingyu Zeng; Bin Yang 022; Tong Xiao; Cong Zhang 005; Zhe Wang 006; Ruohui Wang; Xiaogang Wang 001; Wanli Ouyang (IEEE Trans. Circuits Syst. Video Technol., 2018)

GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving. - Buyu Li; Wanli Ouyang; Lu Sheng; Xingyu Zeng; Xiaogang Wang 001 (CVPR, 2019)

Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation. - Yingjie Cai; Buyu Li; Zeyu Jiao; Hongsheng Li 001; Xingyu Zeng; Xiaogang Wang 001 (AAAI, 2020)

Rethinking Pseudo-LiDAR Representation. - Xinzhu Ma; Shinan Liu; Zhiyi Xia; Hongwen Zhang 001; Xingyu Zeng; Wanli Ouyang (ECCV (13), 2020)

Adapting Object Detectors with Conditional Domain Normalization. - Peng Su; Kun Wang; Xingyu Zeng; Shixiang Tang; Dapeng Chen; Di Qiu; Xiaogang Wang 001 (ECCV (11), 2020)

Three-stage Training Pipeline with Patch Random Drop for Few-shot Object Detection. - Shaobo Lin; Xingyu Zeng; Shilin Yan; Rui Zhao (ACCV (6), 2022)

Scale-Aware Spatio-Temporal Relation Learning for Video Anomaly Detection. - Guoqiu Li; Guanxiong Cai; Xingyu Zeng; Rui Zhao (ECCV (4), 2022)

A Unified Framework with Meta-dropout for Few-shot Learning. - Shaobo Lin; Xingyu Zeng; Rui Zhao (CoRR, 2022)

ISmart: Protecting Smart Contract Against Integer Bugs. - Xingyu Zeng; Hua Zhang 001; Chaosong Yan; Liu Zhao; Qiaoyan Wen (Intell. Autom. Soft Comput., 2022)

SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers. - Guoqiang Jin; Fan Yang 089; Mingshan Sun; Ruyi Zhao; Yakun Liu; Wei Li 190; Tianpeng Bao; Liwei Wu; Xingyu Zeng; Rui Zhao 001 (BMVC, 2023)

Explore the Power of Synthetic Data on Few-shot Object Detection. - Shaobo Lin; Kun Wang; Xingyu Zeng; Rui Zhao (CVPR Workshops, 2023)

An Effective Crop-Paste Pipeline for Few-shot Object Detection. - Shaobo Lin; Kun Wang; Xingyu Zeng; Rui Zhao (CVPR Workshops, 2023)

Explore the Power of Dropout on Few-shot Learning. - Shaobo Lin; Xingyu Zeng; Rui Zhao (CoRR, 2023)

TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents. - Jingqing Ruan; Yihong Chen; Bin Zhang 052; Zhiwei Xu 005; Tianpeng Bao; Guoqing Du; Shiwei Shi; Hangyu Mao; Xingyu Zeng; Rui Zhao 001 (CoRR, 2023)

MeanAP-Guided Reinforced Active Learning for Object Detection. - Zhixuan Liang; Xingyu Zeng; Rui Zhao; Ping Luo 002 (CoRR, 2023)

To be or not to be? an exploration of continuously controllable prompt engineering. - Yuhan Sun; Mukai Li; Yixin Cao 002; Kun Wang; Wenxiao Wang 001; Xingyu Zeng; Rui Zhao (CoRR, 2023)

TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems. - Yilun Kong; Jingqing Ruan; Yihong Chen; Bin Zhang 052; Tianpeng Bao; Shiwei Shi; Guoqing Du; Xiaoru Hu; Hangyu Mao; Ziyue Li 002; Xingyu Zeng; Rui Zhao 001 (CoRR, 2023)

CLEAR: Can Language Models Really Understand Causal Graphs? - Sirui Chen; Mengying Xu; Kun Wang; Xingyu Zeng; Rui Zhao; Shengjie Zhao; Chaochao Lu (EMNLP (Findings), 2024)

TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems. - Yilun Kong; Jingqing Ruan; Yihong Chen; Bin Zhang 052; Tianpeng Bao; Shiwei Shi; Du Qing; Xiaoru Hu; Hangyu Mao; Ziyue Li 002; Xingyu Zeng; Rui Zhao 001; et al. (EMNLP (Industry Track), 2024)

Gradient-based Visual Explanation for Transformer-based CLIP. - Chenyang Zhao 011; Kun Wang; Xingyu Zeng; Rui Zhao; Antoni B. Chan (ICML, 2024)

Causal Evaluation of Language Models. - Sirui Chen; Bo Peng; Meiqi Chen 001; Ruiqi Wang; Mengying Xu; Xingyu Zeng; Rui Zhao 001; Shengjie Zhao 001; Yu Qiao 001; Chaochao Lu (CoRR, 2024)

PUMA: Empowering Unified MLLM with Multi-granular Visual Generation. - Rongyao Fang; Chengqi Duan; Kun Wang; Hao Li 069; Hao Tian 006; Xingyu Zeng; Rui Zhao 001; Jifeng Dai; Hongsheng Li 001; Xihui Liu (CoRR, 2024)

ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search. - Yize Zhang; Tianshu Wang 002; Sirui Chen; Kun Wang; Xingyu Zeng; Hongyu Lin; Xianpei Han; Le Sun 001; Chaochao Lu (ACL (1), 2025)

Spy Inside: Scalable Verification of Dependable Transformers for Event Time Series Systems. - Haodong Deng; Qi Qi 001; Lu Lu 015; Zirui Zhuang; Xingyu Zeng; Jinguang Wang; Bo He 003; Wei Li 119; Jingyu Wang 001 (ICASSP, 2025)

Robustness Verification of Deep Graph Neural Networks Tightened by Linear Approximation. - Xingyu Zeng; Han Li; Qi Qi 001; Jingyu Wang 001; Haodong Deng; Haifeng Sun 001; Zirui Zhuang; Jianxin Liao (WSDM, 2025)

GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing. - Rongyao Fang; Chengqi Duan; Kun Wang; Linjiang Huang; Hao Li 069; Shilin Yan; Hao Tian 006; Xingyu Zeng; Rui Zhao 001; Jifeng Dai; Xihui Liu; Hongsheng Li 001 (CoRR, 2025)

GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning. - Chengqi Duan; Rongyao Fang; Yuqing Wang; Kun Wang; Linjiang Huang; Xingyu Zeng; Hongsheng Li 001; Xihui Liu (CoRR, 2025)