Xiaohan Ding

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 49

Top Topics

Interactive Retrieval

Pricing Schemes

Likelihood Ratio

Top Venues

Publications

Uma Sushmitha Gunturi, Anisha Kumar, Xiaohan Ding, Eugenia H. Rho
Linguistically Differentiating Acts and Recalls of Racial Microaggressions on Social Media. CoRR (2024)
Tianxiang Hao, Xiaohan Ding, Juexiao Feng, Yuhong Yang, Hui Chen, Guiguang Ding
Quantized Prompt for Efficient Generalization of Vision-Language Models. CoRR (2024)
Yiyuan Zhang, Yuhao Kang, Zhixin Zhang, Xiaohan Ding, Sanyuan Zhao, Xiangyu Yue
InteractiveVideo: User-Centric Controllable Video Generation with Synergistic Multimodal Instructions. CoRR (2024)
Xiaohan Ding, Buse Çarik, Uma Sushmitha Gunturi, Valerie Reyna, Eugenia H. Rho
Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language. CoRR (2024)
Yuying Ge, Sijie Zhao, Jinguo Zhu, Yixiao Ge, Kun Yi, Lin Song, Chen Li, Xiaohan Ding, Ying Shan
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation. CoRR (2024)
Yiyuan Zhang, Xiaohan Ding, Kaixiong Gong, Yixiao Ge, Ying Shan, Xiangyu Yue
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities. CoRR (2024)
Uma Sushmitha Gunturi, Anisha Kumar, Xiaohan Ding, Eugenia H. Rho
Linguistically Differentiating Acts and Recalls of Racial Microaggressions on Social Media. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Kaike Ping, Anisha Kumar, Xiaohan Ding, Eugenia H. Rho
Behind the Counter: Exploring the Motivations and Barriers of Online Counterspeech Writing. CoRR (2024)
Xiaohan Ding, Buse Çarik, Uma Sushmitha Gunturi, Valerie Reyna, Eugenia Ha Rim Rho
Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language. CHI (2024)
Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Kaiqi Huang, Jungong Han, Guiguang Ding
Re-parameterizing Your Optimizers rather than Architectures. ICLR (2023)
Sijie Zhao, Yixiao Ge, Zhongang Qi, Lin Song, Xiaohan Ding, Zehua Xie, Ying Shan
Sticker820K: Empowering Interactive Retrieval with Stickers. CoRR (2023)
Yiyuan Zhang, Kaixiong Gong, Xiaohan Ding, Kaipeng Zhang, Fangrui Lv, Kurt Keutzer, Xiangyu Yue
Towards Unified and Effective Domain Generalization. CoRR (2023)
Chongjian Ge, Xiaohan Ding, Zhan Tong, Li Yuan, Jiangliu Wang, Yibing Song, Ping Luo
Advancing Vision Transformers with Group-Mix Attention. CoRR (2023)
Shiming Chen, Wenjin Hou, Ziming Hong, Xiaohan Ding, Yibing Song, Xinge You, Tongliang Liu, Kun Zhang
Evolving Semantic Prototype Improves Generative Zero-Shot Learning. ICML (2023)
Jinguo Zhu, Xiaohan Ding, Yixiao Ge, Yuying Ge, Sijie Zhao, Hengshuang Zhao, Xiaohua Wang, Ying Shan
VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation. CoRR (2023)
Zhixin Zhang, Yiyuan Zhang, Xiaohan Ding, Fusheng Jin, Xiangyu Yue
Online Vectorized HD Map Construction using Geometry. CoRR (2023)
Xiaohan Ding, Yiyuan Zhang, Yixiao Ge, Sijie Zhao, Lin Song, Xiangyu Yue, Ying Shan
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition. CoRR (2023)
Zhicheng Cai, Xiaohan Ding, Qiu Shen, Xun Cao
RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets. CoRR (2023)
Guangzhi Wang, Yixiao Ge, Xiaohan Ding, Mohan S. Kankanhalli, Ying Shan
What Makes for Good Visual Tokenizers for Large Language Models? CoRR (2023)
Xiaohan Ding, Mike Horning, Eugenia H. Rho
Same Words, Different Meanings: Semantic Polarization in Broadcast Media Language Forecasts Polarization on Social Media Discourse. CoRR (2023)
Uma Gunturi, Xiaohan Ding, Eugenia H. Rho
ToxVis: Enabling Interpretability of Implicit vs. Explicit Toxicity Detection Models with Interactive Visualization. CoRR (2023)
Xiaohan Ding, Michael A. Horning, Eugenia H. Rho
Same Words, Different Meanings: Semantic Polarization in Broadcast Media Language Forecasts Polarity in Online Public Discourse. ICWSM (2023)
Shiming Chen, Wenjin Hou, Ziming Hong, Xiaohan Ding, Yibing Song, Xinge You, Tongliang Liu, Kun Zhang
Evolving Semantic Prototype Improves Generative Zero-Shot Learning. CoRR (2023)
Xiaohan Ding, Xiangyu Zhang, Yizhuang Zhou, Jungong Han, Guiguang Ding, Jian Sun
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs. CoRR (2022)
Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Kaiqi Huang, Jungong Han, Guiguang Ding
Re-parameterizing Your Optimizers rather than Architectures. CoRR (2022)
Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding
Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs. CVPR (2022)
Chhavi Choudhury, Ankur Gandhe, Xiaohan Ding, Ivan Bulyko
A Likelihood Ratio based Domain Adaptation Method for E2E Models. CoRR (2022)
Chhavi Choudhury, Ankur Gandhe, Xiaohan Ding, Ivan Bulyko
A Likelihood Ratio Based Domain Adaptation Method for E2E Models. ICASSP (2022)
Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Jungong Han, Guiguang Ding
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality. CVPR (2022)
Xiaohan Ding, Nan Liu
Effects of pricing schemes and platform types on platform-based logistics services. Electron. Commer. Res. Appl. 56 (2022)
Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun
RepVGG: Making VGG-style ConvNets Great Again. CoRR (2021)
Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun
RepVGG: Making VGG-Style ConvNets Great Again. CVPR (2021)
Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding
Diverse Branch Block: Building a Convolution as an Inception-like Unit. CoRR (2021)
Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding
Diverse Branch Block: Building a Convolution as an Inception-Like Unit. CVPR (2021)
Xiaohan Ding, Tianxiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. ICCV (2021)
Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Jungong Han, Guiguang Ding
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality. CoRR (2021)
Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition. CoRR (2021)
Xiaohan Ding, Tianxiang Hao, Jungong Han, Yuchen Guo, Guiguang Ding
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN. CoRR (2021)
Xiaohan Ding, Tianxiang Hao, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding
Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization. CoRR (2020)
Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization. ICML (2019)
Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han
Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure. CVPR (2019)
Yuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Zheng Wang, Chenggang Yan, Qionghai Dai
Dual-View Ranking with Hardness Assessment for Zero-Shot Learning. AAAI (2019)
Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. ICCV (2019)
Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han
Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure. CoRR (2019)
Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Ji Liu, Jungong Han
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. CoRR (2019)
Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Jungong Han, Ji Liu
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. NeurIPS (2019)
Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization. CoRR (2019)
Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. CoRR (2019)
Xiaohan Ding, Guiguang Ding, Jungong Han, Sheng Tang
Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks. AAAI (2018)