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2020 – today
- 2024
[j3]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): 1-36 (2024)- [j2]Tianxiang Hao, Xiaohan Ding, Jungong Han, Yuchen Guo, Guiguang Ding:
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16831-16844 (2024) - [c20]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: 443:1-443:20 - [c19]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. CVPR 2024: 5513-5524 - [c18]Yiyuan Zhang, Xiaohan Ding, Kaixiong Gong, Yixiao Ge, Ying Shan, Xiangyu Yue:
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities. CVPR 2024: 6108-6117 - [c17]Lin Song, Yukang Chen, Shuai Yang, Xiaohan Ding, Yixiao Ge, Ying-Cong Chen, Ying Shan:
Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs. CVPR 2024: 13763-13773 - [c16]Zhixin Zhang, Yiyuan Zhang, Xiaohan Ding, Fusheng Jin, Xiangyu Yue:
Online Vectorized HD Map Construction Using Geometry. ECCV (49) 2024: 73-90 - [i36]Yiyuan Zhang, Xiaohan Ding, Kaixiong Gong, Yixiao Ge, Ying Shan, Xiangyu Yue:
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities. CoRR abs/2401.14405 (2024) - [i35]Yiyuan Zhang, Yuhao Kang, Zhixin Zhang, Xiaohan Ding, Sanyuan Zhao, Xiangyu Yue:
InteractiveVideo: User-Centric Controllable Video Generation with Synergistic Multimodal Instructions. CoRR abs/2402.03040 (2024) - [i34]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 abs/2403.00994 (2024) - [i33]Uma Sushmitha Gunturi, Anisha Kumar, Xiaohan Ding, Eugenia H. Rho:
Linguistically Differentiating Acts and Recalls of Racial Microaggressions on Social Media. CoRR abs/2403.16514 (2024) - [i32]Kaike Ping, Anisha Kumar, Xiaohan Ding, Eugenia H. Rho:
Behind the Counter: Exploring the Motivations and Barriers of Online Counterspeech Writing. CoRR abs/2403.17116 (2024) - [i31]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 abs/2404.14396 (2024) - [i30]Tianxiang Hao, Xiaohan Ding, Juexiao Feng, Yuhong Yang, Hui Chen, Guiguang Ding:
Quantized Prompt for Efficient Generalization of Vision-Language Models. CoRR abs/2407.10704 (2024) - [i29]Xiaohan Ding, Kaike Ping, Uma Sushmitha Gunturi, Buse Çarik, Sophia Stil, Lance T. Wilhelm, Taufiq Daryanto, James Hawdon, Sang Won Lee, Eugenia H. Rho:
CounterQuill: Investigating the Potential of Human-AI Collaboration in Online Counterspeech Writing. CoRR abs/2410.03032 (2024) - [i28]Taufiq Daryanto, Xiaohan Ding, Lance T. Wilhelm, Sophia Stil, Kirk McInnis Knutsen, Eugenia H. Rho:
Conversate: Supporting Reflective Learning in Interview Practice Through Interactive Simulation and Dialogic Feedback. CoRR abs/2410.05570 (2024) - [i27]Buse Çarik, Kaike Ping, Xiaohan Ding, Eugenia H. Rho:
Exploring Large Language Models Through a Neurodivergent Lens: Use, Challenges, Community-Driven Workarounds, and Concerns. CoRR abs/2410.06336 (2024) - [i26]Yiyuan Zhang, Xiaohan Ding, Xiangyu Yue:
Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations. CoRR abs/2410.08049 (2024) - [i25]Zhixin Zhang, Yiyuan Zhang, Xiaohan Ding, Xiangyu Yue:
Vision Search Assistant: Empower Vision-Language Models as Multimodal Search Engines. CoRR abs/2410.21220 (2024) - 2023
- [c15]Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Kaiqi Huang, Jungong Han, Guiguang Ding:
Re-parameterizing Your Optimizers rather than Architectures. ICLR 2023 - [c14]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: 4611-4622 - [c13]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: 161-172 - [i24]Xiaohan Ding, Mike Horning, Eugenia H. Rho:
Same Words, Different Meanings: Semantic Polarization in Broadcast Media Language Forecasts Polarization on Social Media Discourse. CoRR abs/2301.08832 (2023) - [i23]Uma Sushmitha Gunturi, Xiaohan Ding, Eugenia H. Rho:
ToxVis: Enabling Interpretability of Implicit vs. Explicit Toxicity Detection Models with Interactive Visualization. CoRR abs/2303.09402 (2023) - [i22]Guangzhi Wang, Yixiao Ge, Xiaohan Ding, Mohan S. Kankanhalli, Ying Shan:
What Makes for Good Visual Tokenizers for Large Language Models? CoRR abs/2305.12223 (2023) - [i21]Sijie Zhao, Yixiao Ge, Zhongang Qi, Lin Song, Xiaohan Ding, Zehua Xie, Ying Shan:
Sticker820K: Empowering Interactive Retrieval with Stickers. CoRR abs/2306.06870 (2023) - [i20]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 abs/2306.06931 (2023) - [i19]Yiyuan Zhang, Kaixiong Gong, Xiaohan Ding, Kaipeng Zhang, Fangrui Lv, Kurt Keutzer, Xiangyu Yue:
Towards Unified and Effective Domain Generalization. CoRR abs/2310.10008 (2023) - [i18]Zhicheng Cai, Xiaohan Ding, Qiu Shen, Xun Cao:
RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets. CoRR abs/2310.10563 (2023) - [i17]Chongjian Ge, Xiaohan Ding, Zhan Tong, Li Yuan, Jiangliu Wang, Yibing Song, Ping Luo:
Advancing Vision Transformers with Group-Mix Attention. CoRR abs/2311.15157 (2023) - [i16]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 abs/2311.15599 (2023) - [i15]Zhixin Zhang, Yiyuan Zhang, Xiaohan Ding, Fusheng Jin, Xiangyu Yue:
Online Vectorized HD Map Construction using Geometry. CoRR abs/2312.03341 (2023) - [i14]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 abs/2312.09251 (2023) - 2022
- [j1]Xiaohan Ding, Nan Liu:
Effects of pricing schemes and platform types on platform-based logistics services. Electron. Commer. Res. Appl. 56: 101217 (2022) - [c12]Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Jungong Han, Guiguang Ding:
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality. CVPR 2022: 568-577 - [c11]Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding:
Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs. CVPR 2022: 11953-11965 - [c10]Chhavi Choudhury, Ankur Gandhe, Xiaohan Ding, Ivan Bulyko:
A Likelihood Ratio Based Domain Adaptation Method for E2E Models. ICASSP 2022: 6762-6766 - [i13]Chhavi Choudhury, Ankur Gandhe, Xiaohan Ding, Ivan Bulyko:
A Likelihood Ratio based Domain Adaptation Method for E2E Models. CoRR abs/2201.03655 (2022) - [i12]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 abs/2203.06717 (2022) - [i11]Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Kaiqi Huang, Jungong Han, Guiguang Ding:
Re-parameterizing Your Optimizers rather than Architectures. CoRR abs/2205.15242 (2022) - 2021
- [c9]Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding:
Diverse Branch Block: Building a Convolution as an Inception-Like Unit. CVPR 2021: 10886-10895 - [c8]Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun:
RepVGG: Making VGG-Style ConvNets Great Again. CVPR 2021: 13733-13742 - [c7]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: 4490-4500 - [i10]Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun:
RepVGG: Making VGG-style ConvNets Great Again. CoRR abs/2101.03697 (2021) - [i9]Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding:
Diverse Branch Block: Building a Convolution as an Inception-like Unit. CoRR abs/2103.13425 (2021) - [i8]Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding:
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition. CoRR abs/2105.01883 (2021) - [i7]Xiaohan Ding, Tianxiang Hao, Jungong Han, Yuchen Guo, Guiguang Ding:
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN. CoRR abs/2107.14444 (2021) - [i6]Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Jungong Han, Guiguang Ding:
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality. CoRR abs/2112.11081 (2021) - 2020
- [i5]Xiaohan Ding, Tianxiang Hao, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding:
Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization. CoRR abs/2007.03260 (2020)
2010 – 2019
- 2019
- [c6]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: 8360-8367 - [c5]Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han:
Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure. CVPR 2019: 4943-4953 - [c4]Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han:
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. ICCV 2019: 1911-1920 - [c3]Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan:
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization. ICML 2019: 1607-1616 - [c2]Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Jungong Han, Ji Liu:
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. NeurIPS 2019: 6379-6391 - [i4]Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han:
Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure. CoRR abs/1904.03837 (2019) - [i3]Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan:
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization. CoRR abs/1905.04748 (2019) - [i2]Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han:
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. CoRR abs/1908.03930 (2019) - [i1]Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Ji Liu, Jungong Han:
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. CoRR abs/1909.12778 (2019) - 2018
- [c1]Xiaohan Ding, Guiguang Ding, Jungong Han, Sheng Tang:
Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks. AAAI 2018: 6797-6804
Coauthor Index
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