Zhenguo Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
150
Venues
22
Active years
2003–2026
Best venue rank
A*
Where they publish
- A*CVPR34 papers
- A*ICLR30 papers
- A*ICCV19 papers
- A*AAAI15 papers
- A*ECCV10 papers
- A*ACL6 papers
- A*ICML6 papers
- AWACV3 papers
- A*EMNLP3 papers
- A*KDD3 papers
- A*IJCAI3 papers
- A*ICDE3 papers
- CISCAS2 papers
- ANAACL2 papers
- ABMVC2 papers
- ARecSys2 papers
- ACIKM2 papers
- BCOLING1 paper
- A*WWW1 paper
- A*SIGIR1 paper
- BDASFAA1 paper
- BCBMS1 paper
Papers
150 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views. | Yingji Zhong, Kaichen Zhou, Zhihao Li, Lanqing Hong, Zhenguo Li, Dan Xu |
| 2026 | WACV | MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes. | Ruiyuan Gao, Kai Chen, Zhihao Li, Lanqing Hong, Zhenguo Li, Qiang Xu |
| 2025 | ACL | How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs. | Guhao Feng, Kai Yang, Yuntian Gu, Xinyue Ai, Shengjie Luo, Jiacheng Sun, Di He, Zhenguo Li, Liwei Wang |
| 2025 | ACL | Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment. | Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok |
| 2025 | ACL | How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training. | Yixin Ou, Yunzhi Yao, Ningyu Zhang, Hui Jin, Jiacheng Sun, Shumin Deng, Zhenguo Li, Huajun Chen |
| 2025 | ACL | DAPE V2: Process Attention Score as Feature Map for Length Extrapolation. | Chuanyang Zheng, Yihang Gao, Han Shi, Jing Xiong, Jiankai Sun, Jingyao Li, Minbin Huang, Xiaozhe Ren, Michael Ng, Xin Jiang, Zhenguo Li, Yu Li |
| 2025 | COLING | QuickLLaMA: Query-aware Inference Acceleration for Large Language Models. | Jingyao Li, Han Shi, Sitong Wu, Chuanyang Zheng, Zhenguo Li, Xin Jiang, Hong Xu, Jiaya Jia |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning. | Yunhao Gou, Hansi Yang, Zhili Liu, Kai Chen, Yihan Zeng, Lanqing Hong, Zhenguo Li, Qun Liu, Bo Han, James Kwok, Yu Zhang |
| 2025 | EMNLP | Understanding the Language Model to Solve the Symbolic Multi-Step Reasoning Problem from the Perspective of Buffer Mechanism. | Zhiwei Wang, Yunji Wang, Zhongwang Zhang, Zhangchen Zhou, Hui Jin, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Yaoyu Zhang, Zhi-Qin John Xu |
| 2025 | EMNLP | Self-Adjust Softmax. | Chuanyang Zheng, Yihang Gao, Guoxuan Chen, Han Shi, Jing Xiong, Xiaozhe Ren, Chao Huang, Zhenguo Li, Yu Li |
| 2025 | ICCV | 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 |
| 2025 | ICCV | Adding Additional Control to One-Step Diffusion with Joint Distribution Matching. | Yihong Luo, Tianyang Hu, Yifan Song, Jiacheng Sun, Zhenguo Li, Jing Tang |
| 2025 | ICCV | 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 |
| 2025 | ICLR | Jailbreaking as a Reward Misspecification Problem. | Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Improved Diffusion-based Generative Model with Better Adversarial Robustness. | Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhiming Ma |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning. | Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong |
| 2025 | ICLR | Implicit Search via Discrete Diffusion: A Study on Chess. | Jiacheng Ye, Zhenyu Wu, Jiahui Gao, Zhiyong Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong |
| 2025 | ICML | 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 |
| 2025 | ICML | ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis. | Haoxiong Liu, Jiacheng Sun, Zhenguo Li, Andrew C. Yao |
| 2025 | ISCAS | A Dynamic Biasing Circuit for Low-Power Push-Pull Input Buffer. | Rui Zhang, Yidong Yuan, Peng Wang, Lingxiao Shen, Fule Li, Zhihua Wang, Yi Hu, Zhenguo Li |
| 2025 | NAACL | Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data. | Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li, Hong Cheng, Kenji Kawaguchi |
| 2025 | WACV | 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 |
| 2024 | AAAI | 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 |
| 2024 | ACL | Forward-Backward Reasoning in Large Language Models for Mathematical Verification. | Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Enhancing the Power of OOD Detection via Sample-Aware Model Selection. | Feng Xue, Zi He, Yuan Zhang, Chuanlong Xie, Zhenguo Li, Falong Tan |
| 2024 | CVPR | Accelerating Diffusion Sampling with Optimized Time Steps. | Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li |
| 2024 | CVPR | DetCLIPv3: Towards Versatile Generative Open-Vocabulary Object Detection. | Lewei Yao, Renjie Pi, Jianhua Han, Xiaodan Liang, Hang Xu, Wei Zhang, Zhenguo Li, Dan Xu |
| 2024 | CVPR | CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs. | Yingji Zhong, Lanqing Hong, Zhenguo Li, Dan Xu |
| 2024 | ECCV | PIXART-Σ: 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 |
| 2024 | ECCV | 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 T. Kwok, Yu Zhang |
| 2024 | ECCV | Implicit Concept Removal of Diffusion Models. | Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok |
| 2024 | ECCV | Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation. | Shentong Mo, Enze Xie, Yue Wu, Junsong Chen, Matthias Niener, Zhenguo Li |
| 2024 | ICLR | MagicDrive: Street View Generation with Diverse 3D Geometry Control. | Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu |
| 2024 | ICLR | 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, Xin Jiang, Qun Liu |
| 2024 | ICLR | 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 |
| 2024 | ICLR | PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. | Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Zhongdao Wang, James T. Kwok, Ping Luo, Huchuan Lu, Zhenguo Li |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. | Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu |
| 2024 | ICML | 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 |
| 2024 | ISCAS | A Floating-Ring Hybrid Amplifier Insensitive to PVT and Common-mode Variation without CMFB for High-Speed ADCs. | Yaning Wang, Zhenguo Li, Peng Wang, Yihang Cheng, Fule Li, Yi Hu, Jiali Hou, Meng Su, Mengjiao Li |
| 2024 | NAACL | ATG: Benchmarking Automated Theorem Generation for Generative Language Models. | Xiaohan Lin, Qingxing Cao, Yinya Huang, Zhicheng Yang, Zhengying Liu, Zhenguo Li, Xiaodan Liang |
| 2024 | WACV | Efficient Transferability Assessment for Selection of Pre-trained Detectors. | Zhao Wang, Aoxue Li, Zhenguo Li, Qi Dou |
| 2023 | AAAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | ACL | DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function. | Haiming Wang, Ye Yuan, Zhengying Liu, Jianhao Shen, Yichun Yin, Jing Xiong, Enze Xie, Han Shi, Yujun Li, Lin Li, Jian Yin, Zhenguo Li, Xiaodan Liang |
| 2023 | BMVC | Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization. | Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou |
| 2023 | CVPR | Mixed Autoencoder for Self-Supervised Visual Representation Learning. | Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung |
| 2023 | CVPR | 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 |
| 2023 | CVPR | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICCV | Beyond One-to-One: Rethinking the Referring Image Segmentation. | Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo |
| 2023 | ICCV | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICLR | 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 |
| 2023 | ICLR | Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning. | Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong |
| 2023 | ICLR | Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts. | Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok |
| 2023 | ICLR | Breaking Correlation Shift via Conditional Invariant Regularizer. | Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma |
| 2023 | ICML | Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. | Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma |
| 2023 | RecSys | AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction. | Yujun Li, Xing Tang, Bo Chen, Yimin Huang, Ruiming Tang, Zhenguo Li |
| 2023 | RecSys | Data-free Knowledge Distillation for Reusing Recommendation Models. | Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang |
| 2022 | AAAI | 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 |
| 2022 | AAAI | Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. | Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li |
| 2022 | BMVC | Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving. | Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li |
| 2022 | CVPR | 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 |
| 2022 | CVPR | PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework. | Ning Kang, Shanzhao Qiu, Shifeng Zhang, Zhenguo Li, Shutao Xia |
| 2022 | CVPR | 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 |
| 2022 | CVPR | Semi-Supervised Object Detection via Multi-instance Alignment with Global Class Prototypes. | Aoxue Li, Peng Yuan, Zhenguo Li |
| 2022 | CVPR | Long-tail Recognition via Compositional Knowledge Transfer. | Sarah Parisot, Pedro M. Esperana, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li |
| 2022 | CVPR | 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 |
| 2022 | ECCV | 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 |
| 2022 | ECCV | Generative Negative Text Replay for Continual Vision-Language Pretraining. | Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He |
| 2022 | ECCV | DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction. | Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li |
| 2022 | ICLR | Generalizing Few-Shot NAS with Gradient Matching. | Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng |
| 2022 | ICLR | 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 |
| 2022 | ICLR | 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 T. Kwok |
| 2022 | ICLR | 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 |
| 2022 | ICLR | On Redundancy and Diversity in Cell-based Neural Architecture Search. | Xingchen Wan, Binxin Ru, Pedro M. Esperana, Zhenguo Li |
| 2022 | ICLR | Nonlinear ICA Using Volume-Preserving Transformations. | Xiaojiang Yang, Yi Wang, Jiacheng Sun, Xing Zhang, Shifeng Zhang, Zhenguo Li, Junchi Yan |
| 2022 | ICLR | 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 |
| 2022 | ICLR | Rethinking Adversarial Transferability from a Data Distribution Perspective. | Yao Zhu, Jiacheng Sun, Zhenguo Li |
| 2021 | AAAI | 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 |
| 2021 | AAAI | How to Save your Annotation Cost for Panoptic Segmentation? | Xuefeng Du, Chenhan Jiang, Hang Xu, Gengwei Zhang, Zhenguo Li |
| 2021 | AAAI | Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation. | Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang |
| 2021 | AAAI | MetaAugment: Sample-Aware Data Augmentation Policy Learning. | Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li |
| 2021 | CVPR | 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 |
| 2021 | CVPR | Transformation Invariant Few-Shot Object Detection. | Aoxue Li, Zhenguo Li |
| 2021 | CVPR | 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 |
| 2021 | CVPR | Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation. | Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang |
| 2021 | CVPR | Adversarial Invariant Learning. | Nanyang Ye, Jingxuan Tang, Huayu Deng, Xiao-Yun Zhou, Qianxiao Li, Zhenguo Li, Guang-Zhong Yang, Zhanxing Zhu |
| 2021 | CVPR | iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression. | Shifeng Zhang, Chen Zhang, Ning Kang, Zhenguo Li |
| 2021 | ICCV | Adversarial Robustness for Unsupervised Domain Adaptation. | Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li |
| 2021 | ICCV | NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. | Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li |
| 2021 | ICCV | MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. | Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung |
| 2021 | ICCV | 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 |
| 2021 | ICCV | DetCo: Unsupervised Contrastive Learning for Object Detection. | Enze Xie, Jian Ding, Wenhai Wang, Xiaohang Zhan, Hang Xu, Peize Sun, Zhenguo Li, Ping Luo |
| 2021 | ICCV | 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 |
| 2021 | ICCV | 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 |
| 2021 | ICCV | Towards Understanding the Generative Capability of Adversarially Robust Classifiers. | Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Yaowu Chen, Zhenguo Li |
| 2021 | ICLR | 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 |
| 2021 | ICML | SparseBERT: Rethinking the Importance Analysis in Self-attention. | Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok |
| 2021 | KDD | An Embedding Learning Framework for Numerical Features in CTR Prediction. | Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He |
| 2020 | AAAI | EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement. | Linpu Fang, Hang Xu, Zhili Liu, Sarah Parisot, Zhenguo Li |
| 2020 | AAAI | Meta-Learning PAC-Bayes Priors in Model Averaging. | Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li |
| 2020 | AAAI | New Interpretations of Normalization Methods in Deep Learning. | Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li |
| 2020 | AAAI | Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN. | Hang Xu, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li |
| 2020 | AAAI | SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection. | Lewei Yao, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li |
| 2020 | CIKM | AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction. | Farhan Khawar, Xu Hang, Ruiming Tang, Bin Liu, Zhenguo Li, Xiuqiang He |
| 2020 | CVPR | SP-NAS: Serial-to-Parallel Backbone Search for Object Detection. | Chenhan Jiang, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li |
| 2020 | CVPR | Boosting Few-Shot Learning With Adaptive Margin Loss. | Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang |
| 2020 | CVPR | Rethinking Performance Estimation in Neural Architecture Search. | Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian |
| 2020 | ECCV | 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 |
| 2020 | ECCV | AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling. | Wenshuo Ma, Tingzhong Tian, Hang Xu, Yimin Huang, Zhenguo Li |
| 2020 | ECCV | CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending. | Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li |
| 2020 | IJCAI | DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. | Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu |
| 2020 | KDD | AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. | Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu |
| 2020 | WWW | MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. | Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li |
| 2020 | SIGIR | AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction. | Bin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li |
| 2019 | CVPR | Spatial-Aware Graph Relation Network for Large-Scale Object Detection. | Hang Xu, Chenhan Jiang, Xiaodan Liang, Zhenguo Li |
| 2019 | CVPR | Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection. | Hang Xu, Chenhan Jiang, Xiaodan Liang, Liang Lin, Zhenguo Li |
| 2019 | ICCV | Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification. | Hang Xu, Lewei Yao, Zhenguo Li, Xiaodan Liang, Wei Zhang |
| 2019 | IJCAI | Meta Reinforcement Learning with Task Embedding and Shared Policy. | Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang |
| 2018 | ICDE | MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs (Extended Abstract). | Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Xiaohong Guan |
| 2017 | DASFAA | A Graph-Based Push Service Platform. | Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He |
| 2017 | IJCAI | DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. | Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He |
| 2017 | KDD | Graph Edge Partitioning via Neighborhood Heuristic. | Chenzi Zhang, Fan Wei, Qin Liu, Zhihao Gavin Tang, Zhenguo Li |
| 2016 | CIKM | PowerWalk: Scalable Personalized PageRank via Random Walks with Vertex-Centric Decomposition. | Qin Liu, Zhenguo Li, John C. S. Lui, Jiefeng Cheng |
| 2015 | CVPR | New insights into Laplacian similarity search. | Xiao-Ming Wu, Zhenguo Li, Shih-Fu Chang |
| 2015 | ICDE | VENUS: Vertex-centric streamlined graph computation on a single PC. | Jiefeng Cheng, Qin Liu, Zhenguo Li, Wei Fan, John C. S. Lui, Cheng He |
| 2015 | ICDE | Piecewise linear approximation of streaming time series data with max-error guarantees. | Ge Luo, Ke Yi, Siu-Wing Cheng, Zhenguo Li, Wei Fan, Cheng He, Yadong Mu |
| 2014 | CVPR | Locally Linear Hashing for Extracting Non-linear Manifolds. | Go Irie, Zhenguo Li, Xiao-Ming Wu, Shih-Fu Chang |
| 2013 | CVPR | A Bayesian Approach to Multimodal Visual Dictionary Learning. | Go Irie, Dong Liu, Zhenguo Li, Shih-Fu Chang |
| 2012 | CVPR | Segmentation using superpixels: A bipartite graph partitioning approach. | Zhenguo Li, Xiao-Ming Wu, Shih-Fu Chang |
| 2009 | CVPR | Constrained clustering via spectral regularization. | Zhenguo Li, Jianzhuang Liu, Xiaoou Tang |
| 2009 | ICCV | Constrained clustering by spectral kernel learning. | Zhenguo Li, Jianzhuang Liu |
| 2008 | ICML | Pairwise constraint propagation by semidefinite programming for semi-supervised classification. | Zhenguo Li, Jianzhuang Liu, Xiaoou Tang |
| 2007 | CVPR | A Closed-form Solution to 3D Reconstruction of Piecewise Planar Objects from Single Images. | Zhenguo Li, Jianzhuang Liu, Xiaoou Tang |
| 2007 | ICCV | Noise Robust Spectral Clustering. | Zhenguo Li, Jianzhuang Liu, Shifeng Chen, Xiaoou Tang |
| 2003 | CBMS | Approximate Entropy Based Pulse Variability Analysis. | Kuanquan Wang, Lisheng Xu, Zhenguo Li, David Zhang, Naimin Li, Shuying Wang |