Li, Zhenguo

150 publications

ICLR 2025 Accelerating Auto-Regressive Text-to-Image Generation with Training-Free Speculative Jacobi Decoding Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu

ICCV 2025 Adding Additional Control to One-Step Diffusion with Joint Distribution Matching Yihong Luo, Tianyang Hu, Yifan Song, Jiacheng Sun, Zhenguo Li, Jing Tang

TMLR 2025 AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael Ng, Zhenguo Li, Zhaoqiang Liu

WACV 2025 Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases Kai Chen, Yanze Li, Wenhua Zhang, Yanxin Liu, Pengxiang Li, Ruiyuan Gao, Lanqing Hong, Meng Tian, Xinhai Zhao, Zhenguo Li, Dit-Yan Yeung, Huchuan Lu, Xu Jia

ICLR 2025 Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong

ICLR 2025 CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search Xiao-Wen Yang, Zhi Zhou, Haiming Wang, Aoxue Li, Wen-Da Wei, Hui Jin, Zhenguo Li, Yu-Feng Li

CVPR 2025 EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions Kai Chen, Yunhao Gou, Runhui Huang, Zhili Liu, Daxin Tan, Jing Xu, Chunwei Wang, Yi Zhu, Yihan Zeng, Kuo Yang, Dingdong Wang, Kun Xiang, Haoyuan Li, Haoli Bai, Jianhua Han, Xiaohui Li, Weike Jin, Nian Xie, Yu Zhang, James T. Kwok, Hengshuang Zhao, Xiaodan Liang, Dit-Yan Yeung, Xiao Chen, Zhenguo Li, Wei Zhang, Qun Liu, Lanqing Hong, Lu Hou, Hang Xu

NeurIPS 2025 FUDOKI: Discrete Flow-Based Unified Understanding and Generation via Kinetic-Optimal Velocities Jin Wang, Yao Lai, Aoxue Li, Shifeng Zhang, Jiacheng Sun, Ning Kang, Chengyue Wu, Zhenguo Li, Ping Luo

ICLR 2025 Forewarned Is Forearmed: Harnessing LLMs for Data Synthesis via Failure-Induced Exploration Qintong Li, Jiahui Gao, Sheng Wang, Renjie Pi, Xueliang Zhao, Chuan Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong

ICLR 2025 G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong

ICLR 2025 Implicit Search via Discrete Diffusion: A Study on Chess Jiacheng Ye, Zhenyu Wu, Jiahui Gao, Zhiyong Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong

ICLR 2025 Improved Diffusion-Based Generative Model with Better Adversarial Robustness Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma

ICLR 2025 Jailbreaking as a Reward Misspecification Problem Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong

ICCV 2025 LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation Jiahao Wang, Ning Kang, Lewei Yao, Mengzhao Chen, Chengyue Wu, Songyang Zhang, Shuchen Xue, Yong Liu, Taiqiang Wu, Xihui Liu, Kaipeng Zhang, Shifeng Zhang, Wenqi Shao, Zhenguo Li, Ping Luo

ICCV 2025 MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control Ruiyuan Gao, Kai Chen, Bo Xiao, Lanqing Hong, Zhenguo Li, Qiang Xu

NeurIPS 2025 Masked Diffusion Models as Energy Minimization Sitong Chen, Shen Nie, Jiacheng Sun, Zijin Feng, Zhenguo Li, Ji-Rong Wen, Chongxuan Li

NeurIPS 2025 Multi-Objective One-Shot Pruning for Large Language Models Weiyu Chen, Hansi Yang, Yunhao Gou, Han Shi, En-Liang Hu, Zhenguo Li, James Kwok

ICML 2025 ProofAug: Efficient Neural Theorem Proving via Fine-Grained Proof Structure Analysis Haoxiong Liu, Jiacheng Sun, Zhenguo Li, Andrew C Yao

ICML 2025 SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator Guoxuan Chen, Han Shi, Jiawei Li, Yihang Gao, Xiaozhe Ren, Yimeng Chen, Xin Jiang, Zhenguo Li, Weiyang Liu, Chao Huang

NeurIPS 2025 Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-Image Generation Yao Teng, Fu-Yun Wang, Xian Liu, Zhekai Chen, Han Shi, Yu Wang, Zhenguo Li, Weiyang Liu, Difan Zou, Xihui Liu

CVPRW 2025 SplatMesh: Interactive 3D Segmentation and Editing Using Mesh-Based Gaussian Splatting Kaichen Zhou, Lanqing Hong, Xinhai Chang, Yingji Zhong, Enze Xie, Hao Dong, Zhihao Li, Yongxin Yang, Zhenguo Li, Wei Zhang

CVPR 2025 T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-Video Generation Kaiyue Sun, Kaiyi Huang, Xian Liu, Yue Wu, Zihan Xu, Zhenguo Li, Xihui Liu

ICLR 2025 Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li

CVPR 2024 Accelerating Diffusion Sampling with Optimized Time Steps Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li

CVPR 2024 CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs Yingji Zhong, Lanqing Hong, Zhenguo Li, Dan Xu

NeurIPS 2024 DAPE: Data-Adaptive Positional Encoding for Length Extrapolation Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael Ng, Xin Jiang, Zhenguo Li, Yu Li

AAAI 2024 DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving Tianqi Wang, Sukmin Kim, Wenxuan Ji, Enze Xie, Chongjian Ge, Junsong Chen, Zhenguo Li, Ping Luo

CVPR 2024 DetCLIPv3: Towards Versatile Generative Open-Vocabulary Object Detection Lewei Yao, Renjie Pi, Jianhua Han, Xiaodan Liang, Hang Xu, Wei Zhang, Zhenguo Li, Dan Xu

CVPR 2024 DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang

NeurIPS 2024 Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Xin Jiang, Zhenguo Li, Wei Bi, Lingpeng Kong

NeurIPS 2024 Dual Risk Minimization: Towards Next-Level Robustness in Fine-Tuning Zero-Shot Models Kaican Li, Weiyan Xie, Yongxiang Huang, Didan Deng, Lanqing Hong, Zhenguo Li, Ricardo Silva, Nevin L. Zhang

WACV 2024 Efficient Transferability Assessment for Selection of Pre-Trained Detectors Zhao Wang, Aoxue Li, Zhenguo Li, Qi Dou

CVPR 2024 Enhancing the Power of OOD Detection via Sample-Aware Model Selection Feng Xue, Zi He, Yuan Zhang, Chuanlong Xie, Zhenguo Li, Falong Tan

ECCV 2024 Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James Kwok, Yu Zhang

ECCV 2024 Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation Shentong Mo, Enze Xie, Yue Wu, Junsong Chen, Matthias Niessner, Zhenguo Li

ICLR 2024 Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang

NeurIPS 2024 GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing Zhenyu Wang, Aoxue Li, Zhenguo Li, Xihui Liu

ICLR 2024 GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation Kai Chen, Enze Xie, Zhe Chen, Yibo Wang, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung

ECCV 2024 Implicit Concept Removal of Diffusion Models Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James Kwok

ICLR 2024 LEGO-Prover: Neural Theorem Proving with Growing Libraries Haiming Wang, Huajian Xin, Chuanyang Zheng, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Xiaodan Liang

ICLR 2024 Large Language Models as Automated Aligners for Benchmarking Vision-Language Models Yuanfeng Ji, Chongjian Ge, Weikai Kong, Enze Xie, Zhengying Liu, Zhenguo Li, Ping Luo

TMLR 2024 Lyra: Orchestrating Dual Correction in Automated Theorem Proving Chuanyang Zheng, Haiming Wang, Enze Xie, Zhengying Liu, Jiankai Sun, Huajian Xin, Jianhao Shen, Zhenguo Li, Yu Li

ICLR 2024 MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang

ICLR 2024 MagicDrive: Street View Generation with Diverse 3D Geometry Control Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu

ICLR 2024 MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu

ICLR 2024 PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Zhongdao Wang, James Kwok, Ping Luo, Huchuan Lu, Zhenguo Li

ECCV 2024 PixArt-Sigma: Weak-to-Strong Training of Diffusion Transformer for 4k Text-to-Image Generation Junsong Chen, Chongjian Ge, Enze Xie, Yue Wu, Lewei Yao, Xiaozhe Ren, Zhongdao Wang, Ping Luo, Huchuan Lu, Zhenguo Li

ICMLW 2024 Progressive-Hint Prompting Improves Reasoning in Large Language Models Chuanyang Zheng, Zhengying Liu, Enze Xie, Zhenguo Li, Yu Li

NeurIPS 2024 Proving Theorems Recursively Haiming Wang, Huajian Xin, Zhengying Liu, Wenda Li, Yinya Huang, Jianqiao Lu, Zhicheng Yang, Jing Tang, Jian Yin, Zhenguo Li, Xiaodan Liang

ICML 2024 The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi

NeurIPS 2024 Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model Mingyang Yi, Aoxue Li, Yi Xin, Zhenguo Li

ICCV 2023 Beyond One-to-One: Rethinking the Referring Image Segmentation Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo

ICLR 2023 Breaking Correlation Shift via Conditional Invariant Regularizer Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma

ICLR 2023 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

NeurIPS 2023 Complexity Matters: Rethinking the Latent Space for Generative Modeling Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li

CVPR 2023 ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-Real Novel View Synthesis via Contrastive Learning Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang

AAAI 2023 DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang, Jiawei Li, Heng Peng, Zhenguo Li

ICCV 2023 DDP: Diffusion Model for Dense Visual Prediction Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo

CVPR 2023 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

NeurIPS 2023 DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation Shentong Mo, Enze Xie, Ruihang Chu, Lanqing Hong, Matthias Niessner, Zhenguo Li

NeurIPS 2023 Diff-Instruct: A Universal Approach for Transferring Knowledge from Pre-Trained Diffusion Models Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang

NeurIPS 2023 DiffComplete: Diffusion-Based Generative 3D Shape Completion Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Niessner, Chi-Wing Fu, Jiaya Jia

ICCV 2023 DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li

ICML 2023 Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma

AAAI 2023 Fair-CDA: Continuous and Directional Augmentation for Group Fairness Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li

ICCV 2023 MetaBEV: Solving Sensor Failures for 3D Detection and mAP Segmentation Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo

CVPR 2023 Mixed Autoencoder for Self-Supervised Visual Representation Learning Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung

NeurIPSW 2023 Robustness May Be More Brittle than We Think Under Different Degrees of Distribution Shifts Kaican Li, Yifan Zhang, Lanqing Hong, Zhenguo Li, Nevin L. Zhang

NeurIPS 2023 SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma

ICLR 2023 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

NeurIPS 2023 T2I-CompBench: A Comprehensive Benchmark for Open-World Compositional Text-to-Image Generation Kaiyi Huang, Kaiyue Sun, Enze Xie, Zhenguo Li, Xihui Liu

ICLR 2023 Task-Customized Masked Autoencoder via Mixture of Cluster-Conditional Experts Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James Kwok

ICCV 2023 UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang

CVPR 2022 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

AAAI 2022 AutoBERT-Zero: Evolving BERT Backbone from Scratch Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li

NeurIPS 2022 CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds Haiyang Wang, Lihe Ding, Shaocong Dong, Shaoshuai Shi, Aoxue Li, Jianan Li, Zhenguo Li, Liwei Wang

ECCV 2022 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

TMLR 2022 DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-Parameter and Architecture Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li

NeurIPS 2022 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

ECCV 2022 DevNet: Self-Supervised Monocular Depth Learning via Density Volume Construction Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li

ICLR 2022 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

ICLR 2022 Generalizing Few-Shot NAS with Gradient Matching Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng

ECCV 2022 Generative Negative Text Replay for Continual Vision-Language Pretraining Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He

ICLR 2022 How Well Does Self-Supervised Pre-Training Perform with Streaming Data? Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng

CVPR 2022 Long-Tail Recognition via Compositional Knowledge Transfer Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li

CVPR 2022 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

ICLR 2022 Memory Replay with Data Compression for Continual Learning Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu

ICLR 2022 Nonlinear ICA Using Volume-Preserving Transformations Xiaojiang Yang, Yi Wang, Jiacheng Sun, Xing Zhang, Shifeng Zhang, Zhenguo Li, Junchi Yan

ICLR 2022 On Redundancy and Diversity in Cell-Based Neural Architecture Search Xingchen Wan, Binxin Ru, Pedro M Esperança, Zhenguo Li

CVPR 2022 OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu

CVPR 2022 PILC: Practical Image Lossless Compression with an End-to-End GPU Oriented Neural Framework Ning Kang, Shanzhao Qiu, Shifeng Zhang, Zhenguo Li, Shu-Tao Xia

ICLR 2022 Rethinking Adversarial Transferability from a Data Distribution Perspective Yao Zhu, Jiacheng Sun, Zhenguo Li

ICLR 2022 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

CVPR 2022 Semi-Supervised Object Detection via Multi-Instance Alignment with Global Class Prototypes Aoxue Li, Peng Yuan, Zhenguo Li

AAAI 2022 Task-Customized Self-Supervised Pre-Training with Scalable Dynamic Routing Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li

NeurIPS 2022 Understanding Square Loss in Training Overparametrized Neural Network Classifiers Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li

NeurIPS 2022 ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization Qishi Dong, Awais Muhammad, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li

AAAI 2021 Ada-Segment: Automated Multi-Loss Adaptation for Panoptic Segmentation Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang

CVPR 2021 Adversarial Invariant Learning Nanyang Ye, Jingxuan Tang, Huayu Deng, Xiao-Yun Zhou, Qianxiao Li, Zhenguo Li, Guang-Zhong Yang, Zhanxing Zhu

ICCV 2021 Adversarial Robustness for Unsupervised Domain Adaptation Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li

AAAI 2021 DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li

ICCV 2021 DetCo: Unsupervised Contrastive Learning for Object Detection Enze Xie, Jian Ding, Wenhai Wang, Xiaohang Zhan, Hang Xu, Peize Sun, Zhenguo Li, Ping Luo

ICCV 2021 Exploring Geometry-Aware Contrast and Clustering Harmonization for Self-Supervised 3D Object Detection Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei Zhang, Zhenguo Li, Luc Van Gool

ICCV 2021 G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-Guided Feature Imitation Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang

NeurIPSW 2021 How Well Does Self-Supervised Pre-Training Perform with Streaming ImageNet? Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng

AAAI 2021 How to Save Your Annotation Cost for Panoptic Segmentation? Xuefeng Du, Chenhan Jiang, Hang Xu, Gengwei Zhang, Zhenguo Li

CVPR 2021 Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang

NeurIPSW 2021 Layer-Parallel Training of Residual Networks with Auxiliary Variables Qi Sun, Hexin Dong, Zewei Chen, Weizhen Dian, Jiacheng Sun, Yitong Sun, Zhenguo Li, Bin Dong

ECML-PKDD 2021 Learning to Build High-Fidelity and Robust Environment Models Weinan Zhang, Zhengyu Yang, Jian Shen, Minghuan Liu, Yimin Huang, Xing Zhang, Ruiming Tang, Zhenguo Li

ICLR 2021 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

AAAI 2021 MetaAugment: Sample-Aware Data Augmentation Policy Learning Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li

NeurIPS 2021 MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps Awais Muhammad, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li

ICCV 2021 MultiSiam: Self-Supervised Multi-Instance Siamese Representation Learning for Autonomous Driving Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung

ICCV 2021 NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li

ICCV 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

CVPR 2021 ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu

NeurIPS 2021 OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression Chen Zhang, Shifeng Zhang, Fabio Maria Carlucci, Zhenguo Li

NeurIPS 2021 On Effective Scheduling of Model-Based Reinforcement Learning Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li

ICML 2021 SparseBERT: Rethinking the Importance Analysis in Self-Attention Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok

ICCV 2021 Towards Understanding the Generative Capability of Adversarially Robust Classifiers Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Yaowu Chen, Zhenguo Li

NeurIPS 2021 Towards a Theoretical Framework of Out-of-Distribution Generalization Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang

CVPR 2021 TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li

CVPR 2021 Transformation Invariant Few-Shot Object Detection Aoxue Li, Zhenguo Li

NeurIPS 2021 iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder Shifeng Zhang, Ning Kang, Tom Ryder, Zhenguo Li

CVPR 2021 iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression Shifeng Zhang, Chen Zhang, Ning Kang, Zhenguo Li

ECCV 2020 AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-Sampling Wenshuo Ma, Tingzhong Tian, Hang Xu, Yimin Huang, Zhenguo Li

NeurIPS 2020 Bridging the Gap Between Sample-Based and One-Shot Neural Architecture Search with BONAS Han Shi, Renjie Pi, Hang Xu, Zhenguo Li, James T. Kwok, Tong Zhang

ECCV 2020 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

ECCV 2020 CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li

IJCAI 2020 DropNAS: Grouped Operation Dropout for Differentiable Architecture Search Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu

AAAI 2020 EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement Linpu Fang, Hang Xu, Zhili Liu, Sarah Parisot, Zhenguo Li

NeurIPS 2020 Locally Differentially Private (Contextual) Bandits Learning Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang

AAAI 2020 Meta-Learning PAC-Bayes Priors in Model Averaging Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li

AAAI 2020 New Interpretations of Normalization Methods in Deep Learning Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li

AAAI 2020 SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection Lewei Yao, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li

AAAI 2020 Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN Hang Xu, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li

IJCAI 2019 Meta Reinforcement Learning with Task Embedding and Shared Policy Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang

IJCAI 2017 DeepFM: A Factorization-Machine Based Neural Network for CTR Prediction Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He

CVPR 2015 New Insights into Laplacian Similarity Search Xiao-Ming Wu, Zhenguo Li, Shih-Fu Chang

CVPR 2014 Locally Linear Hashing for Extracting Non-Linear Manifolds Go Irie, Zhenguo Li, Xiao-Ming Wu, Shih-Fu Chang

CVPR 2013 A Bayesian Approach to Multimodal Visual Dictionary Learning Go Irie, Dong Liu, Zhenguo Li, Shih-Fu Chang

NeurIPS 2013 Analyzing the Harmonic Structure in Graph-Based Learning Xiao-Ming Wu, Zhenguo Li, Shih-Fu Chang

NeurIPS 2012 Learning with Partially Absorbing Random Walks Xiao-ming Wu, Zhenguo Li, Anthony M. So, John Wright, Shih-fu Chang

CVPR 2012 Segmentation Using Superpixels: A Bipartite Graph Partitioning Approach Zhenguo Li, Xiao-Ming Wu, Shih-Fu Chang

ICCV 2009 Constrained Clustering by Spectral Kernel Learning Zhenguo Li, Jianzhuang Liu

CVPR 2009 Constrained Clustering via Spectral Regularization Zhenguo Li, Jianzhuang Liu, Xiaoou Tang

NeurIPS 2009 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming Xiao-ming Wu, Anthony M. So, Zhenguo Li, Shuo-yen R. Li

ICML 2008 Pairwise Constraint Propagation by Semidefinite Programming for Semi-Supervised Classification Zhenguo Li, Jianzhuang Liu, Xiaoou Tang

CVPR 2007 A Closed-Form Solution to 3D Reconstruction of Piecewise Planar Objects from Single Images Zhenguo Li, Jianzhuang Liu, Xiaoou Tang

ICCV 2007 Noise Robust Spectral Clustering Zhenguo Li, Jianzhuang Liu, Shifeng Chen, Xiaoou Tang