Zhang, Liwen

18 publications

ICML 2025 LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs – No Silver Bullet for LC or RAG Routing Kuan Li, Liwen Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Shuai Wang, Minhao Cheng

CVPRW 2025 NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution Marcos V. Conde, Radu Timofte, Zihao Lu, Xiangyu Kong, Xiaoxia Xing, Fan Wang, Suejin Han, MinKyu Park, Tianyu Hao, Yuhong He, Ruoqi Li, Yueqi Yang, Jianyang Yu, Kele Xu, Zisheng Xu, Yong Dou, Watchara Ruangsang, Ruixuan Jiang, Senyan Xu, Siyuan Jiang, Xueyang Fu, Zheng-Jun Zha, Jiajie Lu, Xiang Yu, Minmin Yi, Yuanjia Chen, Liwen Zhang, Zijie Jin, Tianyu Zhang, Xin Lu, Yeda Chen, Dong Liu, Li Pang, Yuhang Yang, Hongzhong Wang, Xiangyong Cao, Cheng Li, Lian Liu, Wei Song, Heng Sun, Yubo Wang, Jinghua Wang, Guanlan Hong

NeurIPS 2025 WebDancer: Towards Autonomous Information Seeking Agency Jialong Wu, Baixuan Li, Runnan Fang, Wenbiao Yin, Liwen Zhang, Zhenglin Wang, Zhengwei Tao, Ding-Chu Zhang, Zekun Xi, Xiangru Tang, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou

NeurIPS 2024 AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation Teng Li, Liwen Zhang, Youcheng Zhang, Zijun Hu, Pengcheng Pi, Zongqing Lu, Qingmin Liao, Zhe Ma

IJCAI 2024 SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series Yi Dong, Liwen Zhang, Youcheng Zhang, Shi Peng, Wen Chen, Zhe Ma

NeurIPS 2024 TARSS-Net: Temporal-Aware Radar Semantic Segmentation Network Youcheng Zhang, Liwen Zhang, Zijun Hu, Pengcheng Pi, Teng Li, Yuanpei Chen, Shi Peng, Zhe Ma

ICCV 2023 Membrane Potential Batch Normalization for Spiking Neural Networks Yufei Guo, Yuhan Zhang, Yuanpei Chen, Weihang Peng, Xiaode Liu, Liwen Zhang, Xuhui Huang, Zhe Ma

CVPR 2023 PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation Liwen Zhang, Xinyan Zhang, Youcheng Zhang, Yufei Guo, Yuanpei Chen, Xuhui Huang, Zhe Ma

ICCV 2023 RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks Yufei Guo, Xiaode Liu, Yuanpei Chen, Liwen Zhang, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma

ICML 2023 Variance Control for Distributional Reinforcement Learning Qi Kuang, Zhoufan Zhu, Liwen Zhang, Fan Zhou

NeurIPS 2022 IM-Loss: Information Maximization Loss for Spiking Neural Networks Yufei Guo, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Yinglei Wang, Xuhui Huang, Zhe Ma

CVPRW 2022 Pseudo-Label Generation and Various Data Augmentation for Semi-Supervised Hyperspectral Object Detection Jun Yu, Liwen Zhang, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Ye Yu, Lei Wang, Qiang Ling

ECCV 2022 Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks Yufei Guo, Liwen Zhang, Yuanpei Chen, Xinyi Tong, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma

CVPR 2022 RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks Yufei Guo, Xinyi Tong, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Zhe Ma, Xuhui Huang

ECCV 2022 Reducing Information Loss for Spiking Neural Networks Yufei Guo, Yuanpei Chen, Liwen Zhang, YingLei Wang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma

CVPRW 2022 Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022 Aneesh Rangnekar, Zachary Mulhollan, Anthony Vodacek, Matthew J. Hoffman, Ángel D. Sappa, Erik Blasch, Jun Yu, Liwen Zhang, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Fang Gao, Ye Yu, Feng Shuang, Lei Wang, Qiang Ling, Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim

IJCAI 2021 Non-Decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning Fan Zhou, Zhoufan Zhu, Qi Kuang, Liwen Zhang

ICML 2018 Tropical Geometry of Deep Neural Networks Liwen Zhang, Gregory Naitzat, Lek-Heng Lim