Zhenguo Li

421 papers A* 140A 8B 2C 2Journal 236Unranked 33
YearRankTypeTitle / Venue / Authors
2026 J jnl
CORAL: Scalable Multi-Task Robot Learning via LoRA Experts.
CoRR
Yuankai Luo, Woping Chen, Tong Liang, Zhenguo Li
2026 J jnl
DreamOn: Diffusion Language Models For Code Infilling Beyond Fixed-size Canvas.
CoRR
Zirui Wu, Lin Zheng, Zhihui Xie, Jiacheng Ye, Jiahui Gao, Shansan Gong, Yansong Feng, Zhenguo Li, Wei Bi, Guorui Zhou, Lingpeng Kong
2026 A* conf
Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views.
AAAI
Yingji Zhong, Kaichen Zhou, Zhihao Li, Lanqing Hong, Zhenguo Li, Dan Xu
2026 J jnl
Mixture of Cluster-Conditional LoRA Experts for Vision-Language Instruction Tuning.
IEEE Trans. Image Process.
Yunhao Gou, Zhili Liu, Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2026 J jnl
OoDBench+: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.
IEEE Trans. Pattern Anal. Mach. Intell.
Nanyang Ye, Kaican Li, Fan Wu, Jundong Zhou, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu, Xinbing Wang, Chenghu Zhou
2026 J jnl
S2I-DiT: Unlocking the semantic-to-image transferability by fine-tuning large diffusion transformer models.
Pattern Recognit.
Gang Li, Enze Xie, Chongjian Ge, Xiang Li, Lingyu Si, Changwen Zheng, Zhenguo Li
2026 J jnl
SimVLA: A Simple VLA Baseline for Robotic Manipulation.
CoRR
Yuankai Luo, Woping Chen, Tong Liang, Baiqiao Wang, Zhenguo Li
2026 J jnl
The Golden Subspace: Where Efficiency Meets Generalization in Continual Test-Time Adaptation.
CoRR
Guannan Lai, Da-Wei Zhou, Zhenguo Li, Han-Jia Ye
2025 C conf
A Dynamic Biasing Circuit for Low-Power Push-Pull Input Buffer.
ISCAS
Rui Zhang, Yidong Yuan, Peng Wang, Lingxiao Shen, Fule Li, Zhihua Wang, Yi Hu, Zhenguo Li
2025 J jnl
A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook.
ACM Comput. Surv.
Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li
2025 A* conf
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding.
ICLR
Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
2025 J jnl
Adding Additional Control to One-Step Diffusion with Joint Distribution Matching.
CoRR
Yihong Luo, Tianyang Hu, Yifan Song, Jiacheng Sun, Zhenguo Li, Jing Tang
2025 J jnl
AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures.
Trans. Mach. Learn. Res.
Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael Ng, Zhenguo Li, Zhaoqiang Liu
2025 J jnl
Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture.
CoRR
Shuchen Xue, Tianyu Xie, Tianyang Hu, Zijin Feng, Jiacheng Sun, Kenji Kawaguchi, Zhenguo Li, Zhi-Ming Ma
2025 A conf
Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases.
WACV
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
2025 A* conf
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning.
ICLR
Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong
2025 A* conf
CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search.
ICLR
Xiao-Wen Yang, Zhi Zhou, Haiming Wang, Aoxue Li, Wen-Da Wei, Hui Jin, Zhenguo Li, Yu-Feng Li
2025 J jnl
Corrupted but Not Broken: Rethinking the Impact of Corrupted Data in Visual Instruction Tuning.
CoRR
Yunhao Gou, Hansi Yang, Zhili Liu, Kai Chen, Yihan Zeng, Lanqing Hong, Zhenguo Li, Qun Liu, James T. Kwok, Yu Zhang
2025 A* conf
Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning.
EMNLP
Yunhao Gou, Hansi Yang, Zhili Liu, Kai Chen, Yihan Zeng, Lanqing Hong, Zhenguo Li, Qun Liu, Bo Han, James Kwok, Yu Zhang
2025 — conf
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation.
ACL (1)
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 J jnl
Dream 7B: Diffusion Large Language Models.
CoRR
Jiacheng Ye, Zhihui Xie, Lin Zheng, Jiahui Gao, Zirui Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong
2025 J jnl
Dream-Coder 7B: An Open Diffusion Language Model for Code.
CoRR
Zhihui Xie, Jiacheng Ye, Lin Zheng, Jiahui Gao, Jingwei Dong, Zirui Wu, Xueliang Zhao, Shansan Gong, Xin Jiang, Zhenguo Li, Lingpeng Kong
2025 A* conf
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions.
CVPR
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 J jnl
Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis.
CoRR
Haoxiong Liu, Jiacheng Sun, Zhenguo Li, Andrew C. Yao
2025 J jnl
Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views.
CoRR
Yingji Zhong, Kaichen Zhou, Zhihao Li, Lanqing Hong, Zhenguo Li, Dan Xu
2025 J jnl
FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities.
CoRR
Jin Wang, Yao Lai, Aoxue Li, Shifeng Zhang, Jiacheng Sun, Ning Kang, Chengyue Wu, Zhenguo Li, Ping Luo
2025 A* conf
Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration.
ICLR
Qintong Li, Jiahui Gao, Sheng Wang, Renjie Pi, Xueliang Zhao, Chuan Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong
2025 A* conf
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model.
ICLR
Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong
2025 — conf
Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data.
NAACL (Long Papers)
Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li, Hong Cheng, Kenji Kawaguchi
2025 — conf
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training.
ACL (Findings)
Yixin Ou, Yunzhi Yao, Ningyu Zhang, Hui Jin, Jiacheng Sun, Shumin Deng, Zhenguo Li, Huajun Chen
2025 J jnl
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training.
CoRR
Yixin Ou, Yunzhi Yao, Ningyu Zhang, Hui Jin, Jiacheng Sun, Shumin Deng, Zhenguo Li, Huajun Chen
2025 — conf
How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs.
ACL (Findings)
Guhao Feng, Kai Yang, Yuntian Gu, Xinyue Ai, Shengjie Luo, Jiacheng Sun, Di He, Zhenguo Li, Liwei Wang
2025 A* conf
Implicit Search via Discrete Diffusion: A Study on Chess.
ICLR
Jiacheng Ye, Zhenyu Wu, Jiahui Gao, Zhiyong Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong
2025 J jnl
Implicit Search via Discrete Diffusion: A Study on Chess.
CoRR
Jiacheng Ye, Zhenyu Wu, Jiahui Gao, Zhiyong Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong
2025 A* conf
Improved Diffusion-based Generative Model with Better Adversarial Robustness.
ICLR
Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhiming Ma
2025 J jnl
Improved Diffusion-based Generative Model with Better Adversarial Robustness.
CoRR
Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma
2025 A* conf
Jailbreaking as a Reward Misspecification Problem.
ICLR
Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong
2025 J jnl
LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation.
CoRR
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 A* conf
MESH - Understanding Videos Like Human: Measuring Hallucinations in Large Video Models.
ACM Multimedia
Garry Yang, Zizhe Chen, Man Hon Wong, Haoyu Lei, Yongqiang Chen, Zhenguo Li, Kaiwen Zhou, James Cheng
2025 J jnl
MESH - Understanding Videos Like Human: Measuring Hallucinations in Large Video Models.
CoRR
Garry Yang, Zizhe Chen, Man Hon Wong, Haoyu Lei, Yongqiang Chen, Zhenguo Li, Kaiwen Zhou, James Cheng
2025 J jnl
Masked Diffusion Models as Energy Minimization.
CoRR
Sitong Chen, Shen Nie, Jiacheng Sun, Zijin Feng, Zhenguo Li, Ji-Rong Wen, Chongxuan Li
2025 J jnl
Mathesis: Towards Formal Theorem Proving from Natural Languages.
CoRR
Xuejun Yu, Jianyuan Zhong, Zijin Feng, Pengyi Zhai, Roozbeh Yousefzadeh, Wei Chong Ng, Haoxiong Liu, Ziyi Shou, Jing Xiong, Yudong Zhou, Claudia Ong, Austen Jeremy Sugiarto, Yaoxi Zhang, Wai Ming Tai, Huan Cao, Dongcai Lu, Jiacheng Sun, Qiang Xu, Shen Xin, Zhenguo Li
2025 — conf
Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment.
ACL (1)
Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok
2025 J jnl
Perceptual Decoupling for Scalable Multi-modal Reasoning via Reward-Optimized Captioning.
CoRR
Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Xin Jin, Zhenguo Li, James T. Kwok, Yu Zhang
2025 A* conf
ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis.
ICML
Haoxiong Liu, Jiacheng Sun, Zhenguo Li, Andrew C. Yao
2025 B conf
QuickLLaMA: Query-aware Inference Acceleration for Large Language Models.
COLING
Jingyao Li, Han Shi, Sitong Wu, Chuanyang Zheng, Zhenguo Li, Xin Jiang, Hong Xu, Jiaya Jia
2025 J jnl
SJD++: Improved Speculative Jacobi Decoding for Training-free Acceleration of Discrete Auto-regressive Text-to-Image Generation.
CoRR
Yao Teng, Zhihuan Jiang, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
2025 A* conf
Self-Adjust Softmax.
EMNLP
Chuanyang Zheng, Yihang Gao, Guoxuan Chen, Han Shi, Jing Xiong, Xiaozhe Ren, Chao Huang, Zhenguo Li, Yu Li
2025 J jnl
Self-Adjust Softmax.
CoRR
Chuanyang Zheng, Yihang Gao, Guoxuan Chen, Han Shi, Jing Xiong, Xiaozhe Ren, Chao Huang, Xin Jiang, Zhenguo Li, Yu Li
2025 A* conf
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator.
ICML
Guoxuan Chen, Han Shi, Jiawei Li, Yihang Gao, Xiaozhe Ren, Yimeng Chen, Xin Jiang, Zhenguo Li, Weiyang Liu, Chao Huang
2025 J jnl
Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation.
CoRR
Yao Teng, Fuyun Wang, Xian Liu, Zhekai Chen, Han Shi, Yu Wang, Zhenguo Li, Weiyang Liu, Difan Zou, Xihui Liu
2025 — conf
SplatMesh: Interactive 3D Segmentation and Editing Using Mesh-Based Gaussian Splatting.
CVPR Workshops
Kaichen Zhou, Lanqing Hong, Xinhai Chang, Yingji Zhong, Enze Xie, Hao Dong, Zhihao Li, Yongxin Yang, Zhenguo Li, Wei Zhang
2025 J jnl
T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-Image Generation.
IEEE Trans. Pattern Anal. Mach. Intell.
Kaiyi Huang, Chengqi Duan, Kaiyue Sun, Enze Xie, Zhenguo Li, Xihui Liu
2025 A* conf
T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation.
CVPR
Kaiyue Sun, Kaiyi Huang, Xian Liu, Yue Wu, Zihan Xu, Zhenguo Li, Xihui Liu
2025 — conf
Understanding the Language Model to Solve the Symbolic Multi-Step Reasoning Problem from the Perspective of Buffer Mechanism.
EMNLP (Findings)
Zhiwei Wang, Yunji Wang, Zhongwang Zhang, Zhangchen Zhou, Hui Jin, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Yaoyu Zhang, Zhi-Qin John Xu
2025 J jnl
Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling.
CoRR
Tianyu Xie, Shuchen Xue, Zijin Feng, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Cheng Zhang
2025 A* conf
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data.
ICLR
Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li
2025 J jnl
ZooKT: Task-adaptive knowledge transfer of Model Zoo for few-shot learning.
Pattern Recognit.
Baoquan Zhang, Bingqi Shan, Aoxue Li, Chuyao Luo, Yunming Ye, Zhenguo Li
2024 — conf
A 3-MHz-3-GHz 8-Phase Reset-Free Anti-Harmonic Delay-Locked Loop Using Phase Difference Composition in 65-nm CMOS.
MWSCAS
Jianming Pan, Meng Su, Fule Li, Yidong Yuan, Yi Hu, Zhenguo Li, Rui Zhang, Jiali Hou, Yabin Wang
2024 C conf
A Floating-Ring Hybrid Amplifier Insensitive to PVT and Common-mode Variation without CMFB for High-Speed ADCs.
ISCAS
Yaning Wang, Zhenguo Li, Peng Wang, Yihang Cheng, Fule Li, Yi Hu, Jiali Hou, Meng Su, Mengjiao Li
2024 — conf
A High Linearity ADC Front-End Circuit for Single-Ended Inputs.
MWSCAS
Rui Zhang, Yabin Wang, Fule Li, Yidong Yuan, Yi Hu, Hongwei Shen, Zhenguo Li, Jiaming Pan, Jiali Hou
2024 — conf
ATG: Benchmarking Automated Theorem Generation for Generative Language Models.
NAACL-HLT (Findings)
Xiaohan Lin, Qingxing Cao, Yinya Huang, Zhicheng Yang, Zhengying Liu, Zhenguo Li, Xiaodan Liang
2024 J jnl
ATG: Benchmarking Automated Theorem Generation for Generative Language Models.
CoRR
Xiaohan Lin, Qingxing Cao, Yinya Huang, Zhicheng Yang, Zhengying Liu, Zhenguo Li, Xiaodan Liang
2024 J jnl
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding.
CoRR
Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
2024 A* conf
Accelerating Diffusion Sampling with Optimized Time Steps.
CVPR
Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li
2024 J jnl
Accelerating Diffusion Sampling with Optimized Time Steps.
CoRR
Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li
2024 J jnl
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases.
CoRR
Yanze Li, Wenhua Zhang, Kai Chen, Yanxin Liu, Pengxiang Li, Ruiyuan Gao, Lanqing Hong, Meng Tian, Xinhai Zhao, Zhenguo Li, Dit-Yan Yeung, Huchuan Lu, Xu Jia
2024 J jnl
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning.
CoRR
Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong
2024 J jnl
CAPE: Context-Adaptive Positional Encoding for Length Extrapolation.
CoRR
Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li
2024 A* conf
CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs.
CVPR
Yingji Zhong, Lanqing Hong, Zhenguo Li, Dan Xu
2024 J jnl
CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs.
CoRR
Yingji Zhong, Lanqing Hong, Zhenguo Li, Dan Xu
2024 J jnl
CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional Calibration.
CoRR
Jiahui Gao, Renjie Pi, Tianyang Han, Han Wu, Lanqing Hong, Lingpeng Kong, Xin Jiang, Zhenguo Li
2024 J jnl
Contextualizing Meta-Learning via Learning to Decompose.
IEEE Trans. Pattern Anal. Mach. Intell.
Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan
2024 J jnl
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects.
CoRR
Zhao Wang, Aoxue Li, Enze Xie, Lingting Zhu, Yong Guo, Qi Dou, Zhenguo Li
2024 J jnl
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation.
CoRR
Chuanyang Zheng, Yihang Gao, Han Shi, Jing Xiong, Jiankai Sun, Jingyao Li, Minbin Huang, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li
2024 A* conf
DAPE: Data-Adaptive Positional Encoding for Length Extrapolation.
NeurIPS
Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li
2024 A* conf
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving.
AAAI
Tianqi Wang, Sukmin Kim, Wenxuan Ji, Enze Xie, Chongjian Ge, Junsong Chen, Zhenguo Li, Ping Luo
2024 J jnl
Deeply Unsupervised Patch Re-Identification for Pre-Training Object Detectors.
IEEE Trans. Pattern Anal. Mach. Intell.
Jian Ding, Enze Xie, Hang Xu, Chenhan Jiang, Zhenguo Li, Ping Luo, Gui-Song Xia
2024 A* conf
DetCLIPv3: Towards Versatile Generative Open-Vocabulary Object Detection.
CVPR
Lewei Yao, Renjie Pi, Jianhua Han, Xiaodan Liang, Hang Xu, Wei Zhang, Zhenguo Li, Dan Xu
2024 J jnl
DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection.
CoRR
Lewei Yao, Renjie Pi, Jianhua Han, Xiaodan Liang, Hang Xu, Wei Zhang, Zhenguo Li, Dan Xu
2024 A* conf
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception.
CVPR
Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang
2024 J jnl
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception.
CoRR
Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang
2024 J jnl
DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis.
CoRR
Yao Teng, Yue Wu, Han Shi, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
2024 A* conf
Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models.
NeurIPS
Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Xin Jiang, Zhenguo Li, Wei Bi, Lingpeng Kong
2024 J jnl
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models.
CoRR
Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Zhenguo Li, Wei Bi, Lingpeng Kong
2024 J jnl
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation.
CoRR
Zhenyu Wang, Enze Xie, Aoxue Li, Zhongdao Wang, Xihui Liu, Zhenguo Li
2024 J jnl
DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving.
CoRR
Tianqi Wang, Enze Xie, Ruihang Chu, Zhenguo Li, Ping Luo
2024 J jnl
DriveGPT4: Interpretable End-to-End Autonomous Driving Via Large Language Model.
IEEE Robotics Autom. Lett.
Zhenhua Xu, Yujia Zhang, Enze Xie, Zhen Zhao, Yong Guo, Kwan-Yee K. Wong, Zhenguo Li, Hengshuang Zhao
2024 A* conf
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models.
NeurIPS
Kaican Li, Weiyan Xie, Yongxiang Huang, Didan Deng, Lanqing Hong, Zhenguo Li, Ricardo Silva, Nevin L. Zhang
2024 J jnl
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models.
CoRR
Kaican Li, Weiyan Xie, Yongxiang Huang, Didan Deng, Lanqing Hong, Zhenguo Li, Ricardo Silva, Nevin L. Zhang
2024 J jnl
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions.
CoRR
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, Jun Yao, Lanqing Hong, Lu Hou, Hang Xu
2024 J jnl
Editing Massive Concepts in Text-to-Image Diffusion Models.
CoRR
Tianwei Xiong, Yue Wu, Enze Xie, Yue Wu, Zhenguo Li, Xihui Liu
2024 J jnl
Efficient Multi-modal Large Language Models via Visual Token Grouping.
CoRR
Minbin Huang, Runhui Huang, Han Shi, Yimeng Chen, Chuanyang Zheng, Xiangguo Sun, Xin Jiang, Zhenguo Li, Hong Cheng
2024 A conf
Efficient Transferability Assessment for Selection of Pre-trained Detectors.
WACV
Zhao Wang, Aoxue Li, Zhenguo Li, Qi Dou
2024 J jnl
Efficient Transferability Assessment for Selection of Pre-trained Detectors.
CoRR
Zhao Wang, Aoxue Li, Zhenguo Li, Qi Dou
2024 J jnl
Enhancing Text-to-Image Editing via Hybrid Mask-Informed Fusion.
CoRR
Aoxue Li, Mingyang Yi, Zhenguo Li
2024 A* conf
Enhancing the Power of OOD Detection via Sample-Aware Model Selection.
CVPR
Feng Xue, Zi He, Yuan Zhang, Chuanlong Xie, Zhenguo Li, Falong Tan
2024 J jnl
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation.
CoRR
Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2024 — conf
Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation.
ECCV (17)
Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2024 — conf
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation.
ECCV (84)
Shentong Mo, Enze Xie, Yue Wu, Junsong Chen, Matthias Nießner, Zhenguo Li
2024 J jnl
Forewarned is Forearmed: Leveraging LLMs for Data Synthesis through Failure-Inducing Exploration.
CoRR
Qintong Li, Jiahui Gao, Sheng Wang, Renjie Pi, Xueliang Zhao, Chuan Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong
2024 — conf
Forward-Backward Reasoning in Large Language Models for Mathematical Verification.
ACL (Findings)
Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok
2024 A* conf
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.
ICLR
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 A* conf
GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing.
NeurIPS
Zhenyu Wang, Aoxue Li, Zhenguo Li, Xihui Liu
2024 J jnl
GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing.
CoRR
Zhenyu Wang, Aoxue Li, Zhenguo Li, Xihui Liu
2024 A* conf
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation.
ICLR
Kai Chen, Enze Xie, Zhe Chen, Yibo Wang, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung
2024 J jnl
How Numerical Precision Affects Mathematical Reasoning Capabilities of LLMs.
CoRR
Guhao Feng, Kai Yang, Yuntian Gu, Xinyue Ai, Shengjie Luo, Jiacheng Sun, Di He, Zhenguo Li, Liwei Wang
2024 — conf
Implicit Concept Removal of Diffusion Models.
ECCV (21)
Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok
2024 J jnl
Jailbreaking as a Reward Misspecification Problem.
CoRR
Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong
2024 A* conf
LEGO-Prover: Neural Theorem Proving with Growing Libraries.
ICLR
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 A* conf
Large Language Models as Automated Aligners for benchmarking Vision-Language Models.
ICLR
Yuanfeng Ji, Chongjian Ge, Weikai Kong, Enze Xie, Zhengying Liu, Zhenguo Li, Ping Luo
2024 J jnl
Lyra: Orchestrating Dual Correction in Automated Theorem Proving.
Trans. Mach. Learn. Res.
Chuanyang Zheng, Haiming Wang, Enze Xie, Zhengying Liu, Jiankai Sun, Huajian Xin, Jianhao Shen, Zhenguo Li, Yu Li
2024 A* conf
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data.
ICLR
Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang
2024 J jnl
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data.
CoRR
Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang
2024 J jnl
MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes.
CoRR
Ruiyuan Gao, Kai Chen, Zhihao Li, Lanqing Hong, Zhenguo Li, Qiang Xu
2024 A* conf
MagicDrive: Street View Generation with Diverse 3D Geometry Control.
ICLR
Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu
2024 J jnl
MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control.
CoRR
Ruiyuan Gao, Kai Chen, Bo Xiao, Lanqing Hong, Zhenguo Li, Qiang Xu
2024 A* conf
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.
ICLR
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
2024 J jnl
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment.
CoRR
Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok
2024 J jnl
On the Expressive Power of a Variant of the Looped Transformer.
CoRR
Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael K. Ng, Zhenguo Li, Zhaoqiang Liu
2024 J jnl
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization.
CoRR
Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou
2024 — conf
PIXART-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.
ECCV (32)
Junsong Chen, Chongjian Ge, Enze Xie, Yue Wu, Lewei Yao, Xiaozhe Ren, Zhongdao Wang, Ping Luo, Huchuan Lu, Zhenguo Li
2024 J jnl
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models.
CoRR
Junsong Chen, Yue Wu, Simian Luo, Enze Xie, Sayak Paul, Ping Luo, Hang Zhao, Zhenguo Li
2024 J jnl
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.
CoRR
Junsong Chen, Chongjian Ge, Enze Xie, Yue Wu, Lewei Yao, Xiaozhe Ren, Zhongdao Wang, Ping Luo, Huchuan Lu, Zhenguo Li
2024 A* conf
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.
ICLR
Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Zhongdao Wang, James T. Kwok, Ping Luo, Huchuan Lu, Zhenguo Li
2024 A* conf
Proving Theorems Recursively.
NeurIPS
Haiming Wang, Huajian Xin, Zhengying Liu, Wenda Li, Yinya Huang, Jianqiao Lu, Zhicheng Yang, Jing Tang, Jian Yin, Zhenguo Li, Xiaodan Liang
2024 J jnl
Proving Theorems Recursively.
CoRR
Haiming Wang, Huajian Xin, Zhengying Liu, Wenda Li, Yinya Huang, Jianqiao Lu, Zhicheng Yang, Jing Tang, Jian Yin, Zhenguo Li, Xiaodan Liang
2024 J jnl
QuickLLaMA: Query-aware Inference Acceleration for Large Language Models.
CoRR
Jingyao Li, Han Shi, Xin Jiang, Zhenguo Li, Hong Xu, Jiaya Jia
2024 J jnl
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator.
CoRR
Guoxuan Chen, Han Shi, Jiawei Li, Yihang Gao, Xiaozhe Ren, Yimeng Chen, Xin Jiang, Zhenguo Li, Weiyang Liu, Chao Huang
2024 J jnl
T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation.
CoRR
Kaiyue Sun, Kaiyi Huang, Xian Liu, Yue Wu, Zihan Xu, Zhenguo Li, Xihui Liu
2024 J jnl
Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts.
CoRR
Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok
2024 A* conf
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling.
ICML
Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi
2024 J jnl
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling.
CoRR
Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi
2024 J jnl
Towards Understanding How Transformer Perform Multi-step Reasoning with Matching Operation.
CoRR
Zhiwei Wang, Yunji Wang, Zhongwang Zhang, Zhangchen Zhou, Hui Jin, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Yaoyu Zhang, Zhi-Qin John Xu
2024 A* conf
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model.
NeurIPS
Mingyang Yi, Aoxue Li, Yi Xin, Zhenguo Li
2024 J jnl
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model.
CoRR
Mingyang Yi, Aoxue Li, Yi Xin, Zhenguo Li
2024 J jnl
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data.
CoRR
Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li
2023 J jnl
A Causal Framework to Unify Common Domain Generalization Approaches.
CoRR
Nevin L. Zhang, Kaican Li, Han Gao, Weiyan Xie, Zhi Lin, Zhenguo Li, Luning Wang, Yongxiang Huang
2023 J jnl
A Survey of Reasoning with Foundation Models.
CoRR
Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li
2023 J jnl
A non-pipelined ADC with a G
Microelectron. J.
Weibo Hu, Xiang Yan, Haitao Cui, Jingbin Feng, Yi Hu, Jiali Hou, Zhenguo Li, Chao Lu, Zhiming Xiao, Wei Ma
2023 J jnl
AIM: Automatic Interaction Machine for Click-Through Rate Prediction.
IEEE Trans. Knowl. Data Eng.
Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
2023 J jnl
Animate124: Animating One Image to 4D Dynamic Scene.
CoRR
Yuyang Zhao, Zhiwen Yan, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee
2023 A conf
AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction.
RecSys
Yujun Li, Xing Tang, Bo Chen, Yimin Huang, Ruiming Tang, Zhenguo Li
2023 A* conf
Beyond One-to-One: Rethinking the Referring Image Segmentation.
ICCV
Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo
2023 J jnl
Beyond One-to-One: Rethinking the Referring Image Segmentation.
CoRR
Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo
2023 J jnl
Boosting Visual-Language Models by Exploiting Hard Samples.
CoRR
Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li
2023 A* conf
Breaking Correlation Shift via Conditional Invariant Regularizer.
ICLR
Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
2023 A* conf
CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.
ICLR
Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Yu Qiao, Zhenguo Li, Ping Luo
2023 A* conf
Complexity Matters: Rethinking the Latent Space for Generative Modeling.
NeurIPS
Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li
2023 J jnl
Complexity Matters: Rethinking the Latent Space for Generative Modeling.
CoRR
Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li
2023 J jnl
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis.
CoRR
Shoukang Hu, Kaichen Zhou, Kaiyu Li, Longhui Yu, Lanqing Hong, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Ziwei Liu
2023 A* conf
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning.
CVPR
Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang
2023 J jnl
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning.
CoRR
Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang
2023 A* conf
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization.
AAAI
Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang, Jiawei Li, Heng Peng, Zhenguo Li
2023 A* conf
DDP: Diffusion Model for Dense Visual Prediction.
ICCV
Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo
2023 J jnl
DDP: Diffusion Model for Dense Visual Prediction.
CoRR
Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo
2023 — conf
DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function.
ACL (1)
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 A conf
Data-free Knowledge Distillation for Reusing Recommendation Models.
RecSys
Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang
2023 J jnl
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving.
CoRR
Tianqi Wang, Sukmin Kim, Wenxuan Ji, Enze Xie, Chongjian Ge, Junsong Chen, Zhenguo Li, Ping Luo
2023 A* conf
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment.
CVPR
Lewei Yao, Jianhua Han, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Hang Xu
2023 J jnl
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment.
CoRR
Lewei Yao, Jianhua Han, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Hang Xu
2023 A* conf
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation.
NeurIPS
Shentong Mo, Enze Xie, Ruihang Chu, Lanqing Hong, Matthias Nießner, Zhenguo Li
2023 J jnl
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation.
CoRR
Shentong Mo, Enze Xie, Ruihang Chu, Lewei Yao, Lanqing Hong, Matthias Nießner, Zhenguo Li
2023 A* conf
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models.
NeurIPS
Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
2023 J jnl
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models.
CoRR
Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
2023 A* conf
DiffComplete: Diffusion-based Generative 3D Shape Completion.
NeurIPS
Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia
2023 J jnl
DiffComplete: Diffusion-based Generative 3D Shape Completion.
CoRR
Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia
2023 A* conf
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning.
ICCV
Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li
2023 J jnl
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning.
CoRR
Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li
2023 J jnl
DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks.
CoRR
Jingwei Zhang, Han Shi, Jincheng Yu, Enze Xie, Zhenguo Li
2023 J jnl
Drag-A-Video: Non-rigid Video Editing with Point-based Interaction.
CoRR
Yao Teng, Enze Xie, Yue Wu, Haoyu Han, Zhenguo Li, Xihui Liu
2023 J jnl
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model.
CoRR
Zhenhua Xu, Yujia Zhang, Enze Xie, Zhen Zhao, Yong Guo, Kwan-Yee K. Wong, Zhenguo Li, Hengshuang Zhao
2023 J jnl
Effective and Parameter-Efficient Reusing Fine-Tuned Models.
CoRR
Weisen Jiang, Baijiong Lin, Han Shi, Yu Zhang, Zhenguo Li, James T. Kwok
2023 J jnl
Entity-Level Text-Guided Image Manipulation.
CoRR
Yikai Wang, Jianan Wang, Guansong Lu, Hang Xu, Zhenguo Li, Wei Zhang, Yanwei Fu
2023 A* conf
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization.
ICML
Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma
2023 J jnl
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization.
CoRR
Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhiming Ma
2023 A* conf
Fair-CDA: Continuous and Directional Augmentation for Group Fairness.
AAAI
Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
2023 J jnl
Fair-CDA: Continuous and Directional Augmentation for Group Fairness.
CoRR
Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
2023 J jnl
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation.
CoRR
Shentong Mo, Enze Xie, Yue Wu, Junsong Chen, Matthias Nießner, Zhenguo Li
2023 J jnl
Forward-Backward Reasoning in Large Language Models for Verification.
CoRR
Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok
2023 J jnl
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model.
CoRR
Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong
2023 J jnl
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.
CoRR
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
2023 J jnl
Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models.
CoRR
Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok
2023 J jnl
Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt.
CoRR
Kai Chen, Enze Xie, Zhe Chen, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung
2023 J jnl
LEGO-Prover: Neural Theorem Proving with Growing Libraries.
CoRR
Haiming Wang, Huajian Xin, Chuanyang Zheng, Lin Li, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Heng Liao, Xiaodan Liang
2023 J jnl
Lyra: Orchestrating Dual Correction in Automated Theorem Proving.
CoRR
Chuanyang Zheng, Haiming Wang, Enze Xie, Zhengying Liu, Jiankai Sun, Huajian Xin, Jianhao Shen, Zhenguo Li, Yu Li
2023 J jnl
MagicDrive: Street View Generation with Diverse 3D Geometry Control.
CoRR
Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu
2023 J jnl
Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts.
CoRR
Yuyang Zhao, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee
2023 A* conf
MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation.
ICCV
Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo
2023 J jnl
MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation.
CoRR
Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo
2023 J jnl
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.
CoRR
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
2023 A* conf
Mixed Autoencoder for Self-Supervised Visual Representation Learning.
CVPR
Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
2023 J jnl
Mixed Autoencoder for Self-supervised Visual Representation Learning.
CoRR
Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
2023 J jnl
On the Generalization of Diffusion Model.
CoRR
Mingyang Yi, Jiacheng Sun, Zhenguo Li
2023 A conf
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization.
BMVC
Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou
2023 J jnl
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.
CoRR
Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Yue Wu, Zhongdao Wang, James T. Kwok, Ping Luo, Huchuan Lu, Zhenguo Li
2023 J jnl
Progressive-Hint Prompting Improves Reasoning in Large Language Models.
CoRR
Chuanyang Zheng, Zhengying Liu, Enze Xie, Zhenguo Li, Yu Li
2023 J jnl
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts.
CoRR
Kaican Li, Yifan Zhang, Lanqing Hong, Zhenguo Li, Nevin L. Zhang
2023 A* conf
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models.
NeurIPS
Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
2023 J jnl
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models.
CoRR
Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
2023 J jnl
SERF: Fine-Grained Interactive 3D Segmentation and Editing with Radiance Fields.
CoRR
Kaichen Zhou, Lanqing Hong, Enze Xie, Yongxin Yang, Zhenguo Li, Wei Zhang
2023 A* conf
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning.
ICLR
Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong
2023 A* conf
T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation.
NeurIPS
Kaiyi Huang, Kaiyue Sun, Enze Xie, Zhenguo Li, Xihui Liu
2023 J jnl
T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation.
CoRR
Kaiyi Huang, Kaiyue Sun, Enze Xie, Zhenguo Li, Xihui Liu
2023 A* conf
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts.
ICLR
Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok
2023 J jnl
Training Energy-Based Models with Diffusion Contrastive Divergences.
CoRR
Weijian Luo, Hao Jiang, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
2023 A* conf
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation.
ICCV
Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang
2023 J jnl
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation.
CoRR
Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang
2022 J jnl
A constant charging-current relaxation oscillator with a duty-cycled main comparator and an adaptive auxiliary comparator.
Microelectron. J.
Yi Hu, Zhenguo Li, Jiali Hou, Wei Ma, Chao Lu, Zhiming Xiao, Huigang Liu, Weibo Hu
2022 A* conf
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search.
CVPR
Minbin Huang, Zhijian Huang, Changlin Li, Xin Chen, Hang Xu, Zhenguo Li, Xiaodan Liang
2022 J jnl
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search.
CoRR
Minbin Huang, Zhijian Huang, Changlin Li, Xin Chen, Hang Xu, Zhenguo Li, Xiaodan Liang
2022 A* conf
AutoBERT-Zero: Evolving BERT Backbone from Scratch.
AAAI
Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li
2022 J jnl
AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction.
IEEE Trans. Knowl. Data Eng.
Niannan Xue, Bin Liu, Huifeng Guo, Ruiming Tang, Fengwei Zhou, Stefanos Zafeiriou, Yuzhou Zhang, Jun Wang, Zhenguo Li
2022 J jnl
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models.
CoRR
Feng Xue, Zi He, Chuanlong Xie, Falong Tan, Zhenguo Li
2022 A* conf
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds.
NeurIPS
Haiyang Wang, Lihe Ding, Shaocong Dong, Shaoshuai Shi, Aoxue Li, Jianan Li, Zhenguo Li, Liwei Wang
2022 J jnl
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds.
CoRR
Haiyang Wang, Lihe Ding, Shaocong Dong, Shaoshuai Shi, Aoxue Li, Jianan Li, Zhenguo Li, Liwei Wang
2022 — conf
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving.
ECCV (38)
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 J jnl
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving.
CoRR
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 J jnl
CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.
CoRR
Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Zhenguo Li, Ping Luo
2022 J jnl
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture.
Trans. Mach. Learn. Res.
Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li
2022 A* conf
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection.
NeurIPS
Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing Xu, Hang Xu
2022 J jnl
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection.
CoRR
Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing Xu, Hang Xu
2022 — conf
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction.
ECCV (39)
Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li
2022 J jnl
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction.
CoRR
Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li
2022 J jnl
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search.
CoRR
Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu
2022 A conf
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving.
BMVC
Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li
2022 J jnl
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving.
CoRR
Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li
2022 A* conf
FILIP: Fine-grained Interactive Language-Image Pre-Training.
ICLR
Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu
2022 A* conf
Generalizing Few-Shot NAS with Gradient Matching.
ICLR
Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng
2022 J jnl
Generalizing Few-Shot NAS with Gradient Matching.
CoRR
Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng
2022 — conf
Generative Negative Text Replay for Continual Vision-Language Pretraining.
ECCV (36)
Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He
2022 J jnl
Generative Negative Text Replay for Continual Vision-Language Pretraining.
CoRR
Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He
2022 A* conf
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
ICLR
Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng
2022 J jnl
Improved OOD Generalization via Conditional Invariant Regularizer.
CoRR
Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
2022 — conf
Improving Model Training with Multi-fidelity Hyperparameter Evaluation.
MLSys
Yimin Huang, Yujun Li, Hanrong Ye, Zhenguo Li, Zhihua Zhang
2022 J jnl
Learning to Prove Trigonometric Identities.
CoRR
Zhou Liu, Yujun Li, Zhengying Liu, Lin Li, Zhenguo Li
2022 A* conf
Long-tail Recognition via Compositional Knowledge Transfer.
CVPR
Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li
2022 A* conf
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation.
CVPR
Jianan Wang, Guansong Lu, Hang Xu, Zhenguo Li, Chunjing Xu, Yanwei Fu
2022 J jnl
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation.
CoRR
Jianan Wang, Guansong Lu, Hang Xu, Zhenguo Li, Chunjing Xu, Yanwei Fu
2022 A* conf
Memory Replay with Data Compression for Continual Learning.
ICLR
Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu
2022 J jnl
Memory Replay with Data Compression for Continual Learning.
CoRR
Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu
2022 A* conf
Nonlinear ICA Using Volume-Preserving Transformations.
ICLR
Xiaojiang Yang, Yi Wang, Jiacheng Sun, Xing Zhang, Shifeng Zhang, Zhenguo Li, Junchi Yan
2022 A* conf
On Redundancy and Diversity in Cell-based Neural Architecture Search.
ICLR
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Zhenguo Li
2022 J jnl
On Redundancy and Diversity in Cell-based Neural Architecture Search.
CoRR
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Zhenguo Li
2022 A* conf
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.
CVPR
Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu
2022 A* conf
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework.
CVPR
Ning Kang, Shanzhao Qiu, Shifeng Zhang, Zhenguo Li, Shutao Xia
2022 J jnl
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework.
CoRR
Ning Kang, Shanzhao Qiu, Shifeng Zhang, Zhenguo Li, Shutao Xia
2022 J jnl
Research on Tunnel Construction Monitoring Method Based on 3D Laser Scanning Technology.
Symmetry
Zheng Wei, Yinze Wang, Wenlin Weng, Zhen Zhou, Zhenguo Li
2022 A* conf
Rethinking Adversarial Transferability from a Data Distribution Perspective.
ICLR
Yao Zhu, Jiacheng Sun, Zhenguo Li
2022 A* conf
Revisiting Over-smoothing in BERT from the Perspective of Graph.
ICLR
Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok
2022 J jnl
Revisiting Over-smoothing in BERT from the Perspective of Graph.
CoRR
Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok
2022 A* conf
Semi-Supervised Object Detection via Multi-instance Alignment with Global Class Prototypes.
CVPR
Aoxue Li, Peng Yuan, Zhenguo Li
2022 A* conf
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing.
AAAI
Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li
2022 J jnl
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing.
CoRR
Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li
2022 J jnl
The Chinese system of government relief supplies: from the perspective of knowledge management.
J. Knowl. Manag.
Guangyuan Xing, Yi Li, Haixu Bao, Guoxing Zhang, Zhenguo Li
2022 A* conf
Understanding Square Loss in Training Overparametrized Neural Network Classifiers.
NeurIPS
Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li
2022 J jnl
ZeroGen
CoRR
Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong
2022 A* conf
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization.
NeurIPS
Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li
2022 J jnl
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization.
CoRR
Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li
2021 J jnl
AIM: Automatic Interaction Machine for Click-Through Rate Prediction.
CoRR
Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
2021 A* conf
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation.
AAAI
Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang
2021 A* conf
Adversarial Invariant Learning.
CVPR
Nanyang Ye, Jingxuan Tang, Huayu Deng, Xiao-Yun Zhou, Qianxiao Li, Zhenguo Li, Guang-Zhong Yang, Zhanxing Zhu
2021 A* conf
Adversarial Robustness for Unsupervised Domain Adaptation.
ICCV
Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li
2021 J jnl
Adversarial Robustness for Unsupervised Domain Adaptation.
CoRR
Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li
2021 A* conf
An Embedding Learning Framework for Numerical Features in CTR Prediction.
KDD
Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He
2021 J jnl
AutoBERT-Zero: Evolving BERT Backbone from Scratch.
CoRR
Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li
2021 J jnl
BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening.
CoRR
Wenqi Shao, Hang Yu, Zhaoyang Zhang, Hang Xu, Zhenguo Li, Ping Luo
2021 J jnl
Contextualizing Multiple Tasks via Learning to Decompose.
CoRR
Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan
2021 J jnl
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture.
CoRR
Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li
2021 A* conf
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation.
AAAI
Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li
2021 A* conf
DetCo: Unsupervised Contrastive Learning for Object Detection.
ICCV
Enze Xie, Jian Ding, Wenhai Wang, Xiaohang Zhan, Hang Xu, Peize Sun, Zhenguo Li, Ping Luo
2021 J jnl
DetCo: Unsupervised Contrastive Learning for Object Detection.
CoRR
Enze Xie, Jian Ding, Wenhai Wang, Xiaohang Zhan, Hang Xu, Zhenguo Li, Ping Luo
2021 A* conf
Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection.
ICCV
Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei Zhang, Zhenguo Li, Luc Van Gool
2021 J jnl
FILIP: Fine-grained Interactive Language-Image Pre-Training.
CoRR
Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu
2021 A* conf
G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation.
ICCV
Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang
2021 J jnl
G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation.
CoRR
Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang
2021 J jnl
How Well Self-Supervised Pre-Training Performs with Streaming Data?
CoRR
Dapeng Hu, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Alfred Shen, Jiashi Feng
2021 A* conf
How to Save your Annotation Cost for Panoptic Segmentation?
AAAI
Xuefeng Du, Chenhan Jiang, Hang Xu, Gengwei Zhang, Zhenguo Li
2021 A* conf
Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation.
CVPR
Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang
2021 J jnl
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation.
CoRR
Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang
2021 J jnl
Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks.
CoRR
Qi Sun, Hexin Dong, Zewei Chen, Jiacheng Sun, Zhenguo Li, Bin Dong
2021 — conf
Learning to Build High-Fidelity and Robust Environment Models.
ECML/PKDD (1)
Weinan Zhang, Zhengyu Yang, Jian Shen, Minghuan Liu, Yimin Huang, Xing Zhang, Ruiming Tang, Zhenguo Li
2021 J jnl
Long-tail Recognition via Compositional Knowledge Transfer.
CoRR
Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li
2021 A* conf
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search.
ICLR
Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li
2021 J jnl
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search.
CoRR
Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li
2021 A* conf
MetaAugment: Sample-Aware Data Augmentation Policy Learning.
AAAI
Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li
2021 A* conf
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps.
NeurIPS
Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li
2021 J jnl
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps.
CoRR
Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li
2021 — conf
ModularNAS: Towards Modularized and Reusable Neural Architecture Search.
MLSys
Yunfeng Lin, Guilin Li, Xing Zhang, Weinan Zhang, Bo Chen, Ruiming Tang, Zhenguo Li, Jiashi Feng, Yong Yu
2021 A* conf
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving.
ICCV
Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
2021 J jnl
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving.
CoRR
Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
2021 A* conf
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization.
ICCV
Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li
2021 J jnl
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization.
CoRR
Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li
2021 A* conf
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models.
ICCV
Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li
2021 J jnl
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models.
CoRR
Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li
2021 A* conf
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning.
CVPR
Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu
2021 J jnl
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning.
CoRR
Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu
2021 A* conf
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression.
NeurIPS
Chen Zhang, Shifeng Zhang, Fabio Maria Carlucci, Zhenguo Li
2021 J jnl
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression.
CoRR
Chen Zhang, Shifeng Zhang, Fabio Maria Carlucci, Zhenguo Li
2021 A* conf
On Effective Scheduling of Model-based Reinforcement Learning.
NeurIPS
Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li
2021 J jnl
On Effective Scheduling of Model-based Reinforcement Learning.
CoRR
Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li
2021 — conf
One Million Scenes for Autonomous Driving: ONCE Dataset.
NeurIPS Datasets and Benchmarks
Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Jingheng Chen, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Chunjing Xu, Hang Xu
2021 J jnl
One Million Scenes for Autonomous Driving: ONCE Dataset.
CoRR
Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu
2021 J jnl
OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms.
CoRR
Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li
2021 J jnl
Out-of-Distribution Generalization Analysis via Influence Function.
CoRR
Haotian Ye, Chuanlong Xie, Yue Liu, Zhenguo Li
2021 J jnl
Output feedback H
Kybernetika
Yanjun Shen, Zhenguo Li, Gang Yu
2021 J jnl
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation.
CoRR
Qijun Luo, Zhili Liu, Lanqing Hong, Chongxuan Li, Kuo Yang, Liyuan Wang, Fengwei Zhou, Guilin Li, Zhenguo Li, Jun Zhu
2021 — conf
Research of Network Traffic Classification Based on Ensemble Learning.
ICCSE
Fan Jiang, Chunzhi Wang, Lingyu Yan, Zhenguo Li
2021 J jnl
Research on the Detection Method of Tunnel Surface Flatness Based on Point Cloud Data.
Symmetry
Liufu Xiang, Yifan Ding, Zheng Wei, Hao Zhang, Zhenguo Li
2021 — conf
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving.
NeurIPS Datasets and Benchmarks
Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu
2021 J jnl
SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving.
CoRR
Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu
2021 A* conf
SparseBERT: Rethinking the Importance Analysis in Self-attention.
ICML
Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok
2021 J jnl
SparseBERT: Rethinking the Importance Analysis in Self-attention.
CoRR
Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James T. Kwok
2021 A* conf
Towards Understanding the Generative Capability of Adversarially Robust Classifiers.
ICCV
Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Yaowu Chen, Zhenguo Li
2021 J jnl
Towards Understanding the Generative Capability of Adversarially Robust Classifiers.
CoRR
Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Zhenguo Li
2021 A* conf
Towards a Theoretical Framework of Out-of-Distribution Generalization.
NeurIPS
Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang
2021 J jnl
Towards a Theoretical Framework of Out-of-Distribution Generalization.
CoRR
Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang
2021 A* conf
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search.
CVPR
Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li
2021 J jnl
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search.
CoRR
Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li
2021 A* conf
Transformation Invariant Few-Shot Object Detection.
CVPR
Aoxue Li, Zhenguo Li
2021 J jnl
Understanding Square Loss in Training Overparametrized Neural Network Classifiers.
CoRR
Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li
2021 J jnl
Unsupervised Pretraining for Object Detection by Patch Reidentification.
CoRR
Jian Ding, Enze Xie, Hang Xu, Chenhan Jiang, Zhenguo Li, Ping Luo, Gui-Song Xia
2021 A* conf
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder.
NeurIPS
Shifeng Zhang, Ning Kang, Tom Ryder, Zhenguo Li
2021 J jnl
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder.
CoRR
Shifeng Zhang, Ning Kang, Tom Ryder, Zhenguo Li
2021 A* conf
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression.
CVPR
Shifeng Zhang, Chen Zhang, Ning Kang, Zhenguo Li
2021 J jnl
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression.
CoRR
Shifeng Zhang, Chen Zhang, Ning Kang, Zhenguo Li
2020 — conf
AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling.
ECCV (5)
Wenshuo Ma, Tingzhong Tian, Hang Xu, Yimin Huang, Zhenguo Li
2020 J jnl
AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling.
CoRR
Wenshuo Ma, Tingzhong Tian, Hang Xu, Yimin Huang, Zhenguo Li
2020 J jnl
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation.
CoRR
Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang
2020 J jnl
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization.
CoRR
Yimin Huang, Yujun Li, Zhenguo Li, Zhihua Zhang
2020 J jnl
AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction.
CoRR
Huifeng Guo, Bo Chen, Ruiming Tang, Zhenguo Li, Xiuqiang He
2020 A* conf
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction.
KDD
Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
2020 J jnl
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction.
CoRR
Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
2020 A conf
AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction.
CIKM
Farhan Khawar, Xu Hang, Ruiming Tang, Bin Liu, Zhenguo Li, Xiuqiang He
2020 A* conf
AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction.
SIGIR
Bin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li
2020 J jnl
Batch Group Normalization.
CoRR
Xiao-Yun Zhou, Jiacheng Sun, Nanyang Ye, Xu Lan, Qijun Luo, Bo-Lin Lai, Pedro M. Esperança, Guang-Zhong Yang, Zhenguo Li
2020 — conf
Blockchain as a Dissipative System and Cognitive Space.
BSCI
Kuan Li, Chenglie Du, Zhenguo Li
2020 A* conf
Boosting Few-Shot Learning With Adaptive Margin Loss.
CVPR
Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang
2020 J jnl
Boosting Few-Shot Learning With Adaptive Margin Loss.
CoRR
Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang
2020 A* conf
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS.
NeurIPS
Han Shi, Renjie Pi, Hang Xu, Zhenguo Li, James T. Kwok, Tong Zhang
2020 — conf
CATCH: Context-Based Meta Reinforcement Learning for Transferrable Architecture Search.
ECCV (19)
Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li
2020 J jnl
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search.
CoRR
Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li
2020 — conf
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending.
ECCV (15)
Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li
2020 J jnl
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending.
CoRR
Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li
2020 J jnl
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation.
CoRR
Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li
2020 J jnl
Decoder-free Robustness Disentanglement without (Additional) Supervision.
CoRR
Yifei Wang, Dan Peng, Furui Liu, Zhenguo Li, Zhitang Chen, Jiansheng Yang
2020 A* conf
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search.
IJCAI
Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu
2020 A* conf
EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement.
AAAI
Linpu Fang, Hang Xu, Zhili Liu, Sarah Parisot, Zhenguo Li
2020 J jnl
EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with Cascade Refinement.
CoRR
Linpu Fang, Hang Xu, Zhili Liu, Sarah Parisot, Zhenguo Li
2020 A* conf
Locally Differentially Private (Contextual) Bandits Learning.
NeurIPS
Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang
2020 J jnl
Locally Differentially Private (Contextual) Bandits Learning.
CoRR
Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang
2020 J jnl
MOFA: Modular Factorial Design for Hyperparameter Optimization.
CoRR
Bo Xiong, Yimin Huang, Steffen Staab, Zhenguo Li
2020 A* conf
Meta-Learning PAC-Bayes Priors in Model Averaging.
AAAI
Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li
2020 J jnl
MetaAugment: Sample-Aware Data Augmentation Policy Learning.
CoRR
Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li
2020 A* conf
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection.
WWW
Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li
2020 J jnl
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection.
CoRR
Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li
2020 J jnl
Multi-objective Neural Architecture Search via Non-stationary Policy Gradient.
CoRR
Zewei Chen, Fengwei Zhou, George Trimponias, Zhenguo Li
2020 A* conf
New Interpretations of Normalization Methods in Deep Learning.
AAAI
Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li
2020 J jnl
New Interpretations of Normalization Methods in Deep Learning.
CoRR
Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li
2020 J jnl
Penalty and Augmented Lagrangian Methods for Layer-parallel Training of Residual Networks.
CoRR
Qi Sun, Hexing Dong, Zewei Chen, Weizhen Dian, Jiacheng Sun, Yitong Sun, Zhenguo Li, Bin Dong
2020 A* conf
Rethinking Performance Estimation in Neural Architecture Search.
CVPR
Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian
2020 J jnl
Rethinking Performance Estimation in Neural Architecture Search.
CoRR
Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian
2020 J jnl
Risk Variance Penalization: From Distributional Robustness to Causality.
CoRR
Chuanlong Xie, Fei Chen, Yue Liu, Zhenguo Li
2020 A* conf
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection.
AAAI
Lewei Yao, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li
2020 A* conf
SP-NAS: Serial-to-Parallel Backbone Search for Object Detection.
CVPR
Chenhan Jiang, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li
2020 A* conf
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN.
AAAI
Hang Xu, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li
2020 J jnl
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN.
CoRR
Hang Xu, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li
2020 J jnl
VEGA: Towards an End-to-End Configurable AutoML Pipeline.
CoRR
Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu, Xiaozhi Fang, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei Zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang
2019 A* conf
Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification.
ICCV
Hang Xu, Lewei Yao, Zhenguo Li, Xiaodan Liang, Wei Zhang
2019 J jnl
DARTS+: Improved Differentiable Architecture Search with Early Stopping.
CoRR
Hanwen Liang, Shifeng Zhang, Jiacheng Sun, Xingqiu He, Weiran Huang, Kechen Zhuang, Zhenguo Li
2019 A* conf
Meta Reinforcement Learning with Task Embedding and Shared Policy.
IJCAI
Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang
2019 J jnl
Meta Reinforcement Learning with Task Embedding and Shared Policy.
CoRR
Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang
2019 J jnl
Meta-Learning PAC-Bayes Priors in Model Averaging.
CoRR
Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li
2019 J jnl
Multi-objective Neural Architecture Search via Predictive Network Performance Optimization.
CoRR
Han Shi, Renjie Pi, Hang Xu, Zhenguo Li, James T. Kwok, Tong Zhang
2019 A* conf
Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection.
CVPR
Hang Xu, Chenhan Jiang, Xiaodan Liang, Liang Lin, Zhenguo Li
2019 J jnl
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection.
CoRR
Lewei Yao, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li
2019 A* conf
Spatial-Aware Graph Relation Network for Large-Scale Object Detection.
CVPR
Hang Xu, Chenhan Jiang, Xiaodan Liang, Zhenguo Li
2019 J jnl
StacNAS: Towards stable and consistent optimization for differentiable Neural Architecture Search.
CoRR
Guilin Li, Xing Zhang, Zitong Wang, Zhenguo Li, Tong Zhang
2018 J jnl
Deep Meta-Learning: Learning to Learn in the Concept Space.
CoRR
Fengwei Zhou, Bin Wu, Zhenguo Li
2018 J jnl
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction.
CoRR
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He, Zhenhua Dong
2018 J jnl
Federated Meta-Learning for Recommendation.
CoRR
Fei Chen, Zhenhua Dong, Zhenguo Li, Xiuqiang He
2018 A* conf
MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs (Extended Abstract).
ICDE
Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Xiaohong Guan
2018 J jnl
MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs.
IEEE Trans. Knowl. Data Eng.
Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Jing Tao, Xiaohong Guan
2018 J jnl
Meta-Learning for Few-shot Camera-Adaptive Color Constancy.
CoRR
Steven McDonagh, Sarah Parisot, Zhenguo Li, Gregory G. Slabaugh
2017 — conf
A Graph-Based Push Service Platform.
DASFAA (2)
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017 A* conf
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.
IJCAI
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017 J jnl
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.
CoRR
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017 A* conf
Graph Edge Partitioning via Neighborhood Heuristic.
KDD
Chenzi Zhang, Fan Wei, Qin Liu, Zhihao Gavin Tang, Zhenguo Li
2017 J jnl
Meta-SGD: Learning to Learn Quickly for Few Shot Learning.
CoRR
Zhenguo Li, Fengwei Zhou, Fei Chen, Hang Li
2016 J jnl
A Fast Sampling Method of Exploring Graphlet Degrees of Large Directed and Undirected Graphs.
CoRR
Pinghui Wang, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Junzhou Zhao, Jing Tao, Xiaohong Guan
2016 J jnl
A Graph-based Push Service Platform.
CoRR
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2016 J jnl
Counting Triangles in Large Graphs by Random Sampling.
IEEE Trans. Knowl. Data Eng.
Bin Wu, Ke Yi, Zhenguo Li
2016 A conf
PowerWalk: Scalable Personalized PageRank via Random Walks with Vertex-Centric Decomposition.
CIKM
Qin Liu, Zhenguo Li, John C. S. Lui, Jiefeng Cheng
2016 J jnl
PowerWalk: Scalable Personalized PageRank via Random Walks with Vertex-Centric Decomposition.
CoRR
Qin Liu, Zhenguo Li, John C. S. Lui, Jiefeng Cheng
2016 J jnl
VENUS: A System for Streamlined Graph Computation on a Single PC.
IEEE Trans. Knowl. Data Eng.
Qin Liu, Jiefeng Cheng, Zhenguo Li, John C. S. Lui
2015 A* conf
New insights into Laplacian similarity search.
CVPR
Xiao-Ming Wu, Zhenguo Li, Shih-Fu Chang
2015 A* conf
Piecewise linear approximation of streaming time series data with max-error guarantees.
ICDE
Ge Luo, Ke Yi, Siu-Wing Cheng, Zhenguo Li, Wei Fan, Cheng He, Yadong Mu
2015 A* conf
VENUS: Vertex-centric streamlined graph computation on a single PC.
ICDE
Jiefeng Cheng, Qin Liu, Zhenguo Li, Wei Fan, John C. S. Lui, Cheng He
2015 J jnl
Walking in the Cloud: Parallel SimRank at Scale.
Proc. VLDB Endow.
Zhenguo Li, Yixiang Fang, Qin Liu, Jiefeng Cheng, Reynold Cheng, John C. S. Lui
2014 J jnl
Active contour model driven by linear speed function for local segmentation with robust initialization and applications in MR brain images.
Signal Process.
Qiang Zheng, Enqing Dong, Zhulou Cao, Wenyan Sun, Zhenguo Li
2014 J jnl
Constrained multiplicative graph cuts based active contour model for magnetic resonance brain image series segmentation.
Signal Process.
Enqing Dong, Qiang Zheng, Wenyan Sun, Zhenguo Li, Li Li
2014 J jnl
Efficient semantic image segmentation with multi-class ranking prior.
Comput. Vis. Image Underst.
Deli Pei, Zhenguo Li, Rongrong Ji, Fuchun Sun
2014 A* conf
Locally Linear Hashing for Extracting Non-linear Manifolds.
CVPR
Go Irie, Zhenguo Li, Xiao-Ming Wu, Shih-Fu Chang
2013 A* conf
A Bayesian Approach to Multimodal Visual Dictionary Learning.
CVPR
Go Irie, Dong Liu, Zhenguo Li, Shih-Fu Chang
2013 — conf
Analyzing the Harmonic Structure in Graph-Based Learning.
NIPS
Xiao-Ming Wu, Zhenguo Li, Shih-Fu Chang
2013 J jnl
Modified localized graph cuts based active contour model for local segmentation with surrounding nearby clutter and intensity inhomogeneity.
Signal Process.
Qiang Zheng, Enqing Dong, Zhulou Cao, Wenyan Sun, Zhenguo Li
2012 — conf
Learning with Partially Absorbing Random Walks.
NIPS
Xiao-Ming Wu, Zhenguo Li, Anthony Man-Cho So, John Wright, Shih-Fu Chang
2012 A* conf
Segmentation using superpixels: A bipartite graph partitioning approach.
CVPR
Zhenguo Li, Xiao-Ming Wu, Shih-Fu Chang
2012 A* conf
Submodular video hashing: a unified framework towards video pooling and indexing.
ACM Multimedia
Liangliang Cao, Zhenguo Li, Yadong Mu, Shih-Fu Chang
2011 J jnl
Modeling Scene and Object Contexts for Human Action Retrieval With Few Examples.
IEEE Trans. Circuits Syst. Video Technol.
Yu-Gang Jiang, Zhenguo Li, Shih-Fu Chang
2009 A* conf
Constrained clustering by spectral kernel learning.
ICCV
Zhenguo Li, Jianzhuang Liu
2009 A* conf
Constrained clustering via spectral regularization.
CVPR
Zhenguo Li, Jianzhuang Liu, Xiaoou Tang
2009 — conf
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite-Quadratic-Linear Programming.
NIPS
Xiao-Ming Wu, Anthony Man-Cho So, Zhenguo Li, Shuo-Yen Robert Li
2009 J jnl
Responses to the Comments on "Plane-Based Optimization for 3D Object Reconstruction from Single Line Drawings".
IEEE Trans. Pattern Anal. Mach. Intell.
Jianzhuang Liu, Liangliang Cao, Zhenguo Li, Xiaoou Tang
2008 A* conf
Pairwise constraint propagation by semidefinite programming for semi-supervised classification.
ICML
Zhenguo Li, Jianzhuang Liu, Xiaoou Tang
2008 J jnl
Plane-Based Optimization for 3D Object Reconstruction from Single Line Drawings.
IEEE Trans. Pattern Anal. Mach. Intell.
Jianzhuang Liu, Liangliang Cao, Zhenguo Li, Xiaoou Tang
2007 A* conf
A Closed-form Solution to 3D Reconstruction of Piecewise Planar Objects from Single Images.
CVPR
Zhenguo Li, Jianzhuang Liu, Xiaoou Tang
2007 A* conf
Image matting using linear optimization.
ACM Multimedia
Shifeng Chen, Zhenguo Li, Jianzhuang Liu, Xiaoou Tang
2007 A* conf
Noise Robust Spectral Clustering.
ICCV
Zhenguo Li, Jianzhuang Liu, Shifeng Chen, Xiaoou Tang
2006 A* conf
Shape from regularities for interactive 3D reconstruction of piecewise planar objects from single images.
ACM Multimedia
Zhenguo Li, Jianzhuang Liu, Xiaoou Tang
2003 B conf
Approximate Entropy Based Pulse Variability Analysis.
CBMS
Kuanquan Wang, Lisheng Xu, Zhenguo Li, David Zhang, Naimin Li, Shuying Wang