Publications

(listed in reverse chronological order)

# means Corresponding Authors, * means Co-first Authors

• DetGPT: Detect What You Need via Reasoning.
  Renjie Pi, Jiahui Gao, Shizhe Diao, Rui Pan, Hanze Dong, Jipeng Zhang, Lewei Yao, Jianhua Han, Hang Xu, Lingpeng Kong, Tong Zhang in EMNLP 2023 Main

• OpenLane-V2: A Topology Reasoning Benchmark for Scene Understanding in Autonomous Driving.
  Huijie Wang, Tianyu Li, Yang Li, Li Chen, Chonghao Sima, Zhenbo Liu, Bangjun Wang, Peijin Jia, Yuting Wang, Shengyin Jiang, Feng Wen, Hang Xu, Ping Luo, Junchi Yan, Wei Zhang, Hongyang Li in NeurIPS 2023 Datasets and Benchmarks

• Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection.
  Yang Cao, Yihan Zeng, Hang Xu, Dan Xu in NeurIPS2023

• Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images.
  Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Wei Zhang, Hang Xu in ICCV2023

• DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability.
  Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu# in ICCV2023

• PIDRo: Parallel Isomeric Attention with Dynamic Routing for Text-Video Retrieval.
  Peiyan Guan, Renjing Pei, Bin Shao, Jianzhuang Liu, Weimian Li, Jiaxi Gu, Hang Xu, Songcen Xu, Youliang Yan, Edmund Lam in ICCV2023

• FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration.
  Zhijian Huang, Sihao Lin, Guiyu Liu, Mukun LUO, Chaoqiang Ye, Hang Xu, Xiaojun Chang, Xiaodan Liang in ICCV2023

• MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation.
  Kaixin Cai, Pengzhen Ren, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang in ICCV2023

• DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment.
  Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang in ICCV2023

• GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training.
  Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang in ICCV2023

• PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection.
  Ming Nie, Yujing XUE, Chunwei Wang, Chaoqiang Ye, Hang Xu, Michael Bi Mi, Xinchao Wang, Li Zhang, Xinge Zhu, Qingqiu Huang in ICCV2023

• Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach.
  Jiachen Lu, Renyuan Peng, Xinyue Cai, Hang Xu, Hongyang Li, Feng Wen, Wei Zhang, Li Zhang in ICCV2023 [Oral]

• SUIT: Learning Significance-guided Information for 3D Temporal Detection.
  Zheyuan Zhou, Jiachen Lu, Yihan Zeng, Hang XU, Li Zhang* in IROS2023

• Mixed Autoencoder for Self-supervised Visual Representation Learning.
  Kai Chen, Zhili LIU, Lanqing HONG, Hang Xu, Zhenguo Li, Dit-Yan Yeung in CVPR2023

• ConQueR: Query Contrast Voxel-DETR for 3D Object Detection.
  Benjin Zhu, Zhe Wang, Shaoshuai Shi, Hang Xu, Lanqing HONG, Hongsheng Li in CVPR2023

• DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment.
  Lewei Yao, Jianhua Han, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Hang Xu# in CVPR2023

• Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving.
  Xiwen Liang, Minzhe Niu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang in CVPR2023

• CapDet: Unifying Dense Captioning and Open-World Detection Pretraining.
  Yanxin Long, Youpeng Wen, Jianhua Han, Hang Xu, Pengzhen Ren, Wei Zhang, Shen Zhao, Xiaodan Liang in CVPR2023

• CLIP^2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data.
  Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu# in CVPR2023

• Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts.
  Zhili LIU, Kai Chen, Jianhua Han, Lanqing HONG, Hang Xu, Zhenguo Li, James Kwok in ICLR2023 [Spotlight]

• Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning.
  Jiahui Gao, Renjie Pi, LIN Yong, Hang Xu, Jiacheng Ye, Zhiyong Wu, WEIZHONG ZHANG, Xiaodan Liang, Zhenguo Li, Lingpeng Kong in ICLR2023 [Spotlight]

• ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency.
  Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang in ICLR2023

• CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.
  Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Yu Qiao, Zhenguo Li, Ping Luo in ICLR2023

• 3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation.
  Zutao Jiang, Guansong Lu, Xiaodan Liang, Jihua Zhu, Wei Zhang, Xiaojun Chang, Hang Xu# in AAAI2023

• NLIP: Noise-robust Language-Image Pre-training.
  Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu,Xiaodan Liang# in AAAI2023

• AutoGen: An Automated Dynamic Model Generation Framework for Recommender System.
  Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang in WSDM2023

  2022

• ZeroGen: Efficient Zero-shot Learning via Dataset Generation.
  Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, and Lingpeng Kong in EMNLP 2022

• Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark.
  Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Minzhe Niu, Xiaodan Liang, Lewei Yao, Runhui Huang, Wei Zhang, Xin Jiang, Chunjing Xu, Hang Xu# in NeurIPS2022 [Oral]

• DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection.
  Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing Xu, Hang Xu# in NeurIPS2022

• Open-world Semantic Segmentation via Contrasting and Clustering Vision-language Embedding.
  Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu#, Xiaodan Liang# in ECCV2022

• CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving.
  Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu in ECCV2022

• Generative Negative Text Replay for Continual Vision-Language Pretraining.
  Shipeng Yan, Lanqing Hong, Hang Xu#, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He# in ECCV2022

• DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction.
  Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li in ECCV2022

• MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection.
  Xuesong Chen, Shaoshuai Shi, Benjin Zhu, Ka Chun Cheung, Hang Xu, Hongsheng Li in ECCV2022

• Learning Ego 3D Representation as Ray Tracing
  Jiachen Lu, Zheyuan Zhou, Xiatian Zhu, Hang Xu, Li Zhang in ECCV2022

• RCLane: Relay Chain Prediction for Lane Detection
  Shenghua Xu, Xinyue Cai, Bin Zhao, Li Zhang, Hang Xu, Yanwei Fu, Xiangyang Xue in ECCV2022

• ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation.
  Jianan Wang, Guansong Lu, Hang Xu#, Zhenguo Li, Chunjing Xu, Yanwei Fu# in CVPR2022[Oral]

• ONCE-3DLanes: Building Monocular 3D Lane Detection.
  Yan Fan, Ming Nie, Xinyue Cai, Jianhua Han, Yanwei Fu, Hang Xu, Zhen Yang, Chaoqiang Ye, Michael Bi Mi, Li Zhang in CVPR2022

• Point2Seq: Detecting 3D Objects as Sequences.
  Yujing XUE, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang in CVPR2022

• Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism.
  Binbin Yang, Xinchi Deng, Han Shi, Changlin Li, Gengwei Zhang, Hang Xu, Shen Zhao, Liang Lin, Xiaodan Liang in CVPR2022

• Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search.
  Minbin Huang, Zhijian Huang, Changlin Li, Xin Chen, Hang Xu, Zhenguo Li, Xiaodan Liang in CVPR2022

• Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors.
  Jian Ding,Enze Xie, Hang Xu,Chenhan Jiang,Zhenguo Li, Ping Luo, Gui-Song Xia in TPAMI

• Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration.
  Xiwen Liang, Fengda Zhu, Li Lingling, Hang Xu, Xiaodan Liang. in ACL2022

• Revisiting Over-smoothing in BERT from the Perspective of Graph.
  Han Shi, JIAHUI GAO, Hang Xu#, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James Kwok. in ICLR2022 [Spotlight]

• FILIP: Fine-grained Interactive Language-Image Pre-Training.
  Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu#, Xiaodan Liang#, Zhenguo Li, Xin Jiang, Chunjing Xu. in ICLR2022

• Task-customized Self-supervised Pre-training with Scalable Dynamic Routing.
  Zhili LIU, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li. in AAAI2022

• Laneformer: Object-aware Row-Column Transformers for Lane Detection.
  Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang. in AAAI2022

• AutoBERT-Zero: Evolving BERT Backbone from Scratch.
  Jiahui Gao, Hang Xu#, Han Shi, Xiaozhe Ren, Philip Leung Ho Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li. in AAAI2022

  2021

• Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection.
  Fuhui Tang, ChenHan Jiang, Dafeng Wei, Hang Xu, Andi Zhang, Wei Zhang, Hongtao Lu, Chunjing Xu. in BMVC2021

• Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training.
  Yihan Zeng, Chunwei Wang, Yunbo Wang, Hang Xu, Chaoqiang Ye, Zhen Yang, Chao Ma. in NeurIPS2021

• SOFT: Softmax-free Transformer with Linear Complexity.
  Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, Li Zhang. in NeurIPS2021[Spotlight]

• SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving.
  Jianhua Han, Xiwen Liang, Hang Xu#, Kai Chen, Lanqing HONG, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang#, Chunjing Xu. in NeurIPS2021

• One Million Scenes for Autonomous Driving: ONCE Dataset.
  Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang#, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu#, Chunjing Xu. in NeurIPS2021

• EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation.
  Chenhe Dong, Guangrun Wang, Hang XU, jiefeng Peng, Xiaozhe REN and Xiaodan Liang. Findings in EMNLP 2021

• NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models.
  Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li. in ICCV2021

• C^3-SemiSeg: Contrastive Semi-supervised Segmentation via Cross-set Learning and Dynamic Class-balancing.
  Yanning Zhou, Hang Xu#, Wei Zhang, Bin GAO, Pheng-Ann Heng. in ICCV2021

• Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection.
  Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu#, Chunjing Xu. in ICCV2021

• Voxel Transformer for 3D Object Detection.
  Jiageng Mao, Yujing XUE, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu#, Chunjing Xu. in ICCV2021

• Adversarial Robustness for Unsupervised Domain Adaptation.
  Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li. in ICCV2021

• MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving.
  Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeun. in ICCV2021

• DetCo: Unsupervised Contrastive Learning for Object Detection.
  Enze Xie, Jian Ding, Xiaohang Zhan, Wenhai Wang, Hang Xu, Peize Sun, Zhenguo Li, Ping Luo. in ICCV2021

• Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-modal Pretraining.
  Xunlin Zhan, Yangxin Wu, Xiao Dong, Yunchao Wei, Minlong Lu, Yichi Zhang, Hang Xu, Xiaodan Liang. in ICCV2021

• Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection.
  Hanxue Liang, Dapeng Feng, ChenHan Jiang, Xin Chen, Hang Xu, Xiaodan Liang, Zhenguo Li, Wei Zhang, Luc Van Gool. in ICCV2021

• G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation.
  Renjie Pi, Lewei Yao, Hang Xu#, Wei Zhang, Zhenguo Li, Tong Zhang. in ICCV2021

• Segmenting Transparent Objects in the Wild with Transformer.
  Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo. in IJCAI2021

• SparseBERT: Rethinking the Importance Analysis in Self-attention.
  Han Shi, JIAHUI GAO, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok. in ICML2021

• Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation.
  Lewei Yao, Renjie Pi, Hang Xu#, Wei Zhang, Zhenguo Li, Tong Zhang. in CVPR2021

• TransNAS-Bench-101: Improving Transferrability and Generalizability of Cross-Task Neural Architecture Search.
  Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang#, Zhenguo Li. in CVPR2021

• Effective Sparsification of Neural Networks with Global Sparsity Constraint.
  Xiao Zhou, Weizhong Zhang, Hang Xu, Tong Zhang. in CVPR2021

• How to Save your Annotation Cost for Panoptic Segmentation?
  Xuefeng Du, ChenHan Jiang, Hang Xu#, Gengwei Zhang, Zhenguo Li. in AAAI2021

• Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation.
  Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang. in AAAI2021

• Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search.
  Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu#, Xiaodan Liang, Yong Jiang, Zhenguo Li. in ICLR2021

  2020

• Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS.
  Han Shi, Renjie Pi, Hang Xu, Zhenguo Li, James Tin-Yau Kwok, Tong Zhang. in NeurIPS2020

• Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation.
  Yangxin Wu, Gengwei Zhang, Hang Xu , Xiaodan Liang, Liang Lin. in NeurIPS2020

• CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search.
  Xin Chen*, Yawen Duan*, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang#, Zhenguo Li. in ECCV2020

• AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling.
  Wenshuo Ma*, Tingzhong Tian*, Hang Xu#, Yimin Huang, Zhenguo Li. in ECCV2020[Spotlight]

• CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending.
  Hang Xu*, Shaoju Wang*, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li. in ECCV2020

• JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image.
  Linpu Fang, Xingyan Liu, Li Liu, Hang Xu, Wenxiong Kang. in ECCV2020[Spotlight]

• AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction.
  Farhan Khawar, Hang Xu#, Ruiming Tang, Bin Liu, Zhenguo Li and Xiuqiang He. in CIKM2020

• SP-NAS: Serial-to-Parallel Backbone Search for Object Detection.
  Chenhan Jiang*, Hang Xu*, Wei Zhang, Xiaodan Liang, Zhenguo Li. in CVPR2020

• SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection.
  Lewei Yao*, Hang Xu*, Wei Zhang, Xiaodan Liang, Zhenguo Li. in AAAI2020

• ElixirNet: Relation-aware Network Architecture Adaptation for Medical Lesion Detection.
  ChenHan Jiang*, Shaoju Wang*, Xiaodan Liang, Hang Xu, Nong Xiao. in AAAI2020[Oral]

• EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with Cascade Refinement.
  Linpu Fang*, Hang Xu*, Zhili LIU, Sarah Parisot, Zhenguo Li. in AAAI2020

• Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN.
  Hang Xu*, Linpu Fang*, Xiaodan Liang, Wenxiong Kang, Zhenguo Li. in AAAI2020[Oral]

  2019

• Reasoning-RCNN: Unifying Adaptive Global Reasoning into Large-scale Object Detection.
  Hang Xu*, Chenhan Jiang*, Xiaodan Liang, Liang Lin, Zhenguo Li. in CVPR2019[Oral]

• Auto-fpn: Automatic network architecture adaptation for object detection beyond classification.
  Hang Xu*, Lewei Yao*, Wwei Zhang, Xiaodan Liang, Zhenguo Li. in ICCV2019

• Spatial-aware graph relation network for large-scale object detection.
  Hang Xu*, Chenhan Jiang*, Xiaodan Liang, Zhenguo Li. in CVPR2019

  2018 and Before

• Hybrid knowledge routed modules for large-scale object detection.
  Chenhan Jiang*, Hang Xu*, Xiaodan Liang, Liang Lin. in NeriPS2018

• Detecting Change Points in the Stress Strength Reliability P(X<Y).
  Hang Xu, Philip L.H. Yu, Alvo Mayer. Applied Stochastic Models in Business & Industry, 2018

• Angle Based Model for Ranking Data.
  Hang Xu, Alvo Mayer, Philip L.H. Yu. Computational Statistics & Data Analysis 2018, 121:113 136

• Latent Scale Distance-based Models for Rank Aggregation.
  Philip L.H. Yu, Hang Xu, Statistics and Computing, 2017 29(2), 335 349.

• Classification and Ranking of Fermi LAT Gamma ray Sources from the 3FGL Catalog using Machine Learning Techniques.
  PMS Parkinson, Hang Xu, Philip L.H. Yu, D Salvetti, M Marelli, AD Falcone. The Astrophysical Journal, 2016, 820(1): 8.