Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks. - Xiaohan Ding; Guiguang Ding; Jungong Han; Sheng Tang (AAAI, 2018)

Dual-View Ranking with Hardness Assessment for Zero-Shot Learning. - Yuchen Guo; Guiguang Ding; Jungong Han; Xiaohan Ding; Sicheng Zhao; Zheng Wang 001; Chenggang Yan 001; Qionghai Dai (AAAI, 2019)

Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure. - Xiaohan Ding; Guiguang Ding; Yuchen Guo; Jungong Han (CVPR, 2019)

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. - Xiaohan Ding; Yuchen Guo; Guiguang Ding; Jungong Han (ICCV, 2019)

Approximated Oracle Filter Pruning for Destructive CNN Width Optimization. - Xiaohan Ding; Guiguang Ding; Yuchen Guo; Jungong Han; Chenggang Yan 001 (ICML, 2019)

Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. - Xiaohan Ding; Guiguang Ding; Xiangxin Zhou; Yuchen Guo; Jungong Han; Ji Liu 002 (NeurIPS, 2019)

Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization. - Xiaohan Ding; Tianxiang Hao; Ji Liu 002; Jungong Han; Yuchen Guo; Guiguang Ding (CoRR, 2020)

Diverse Branch Block: Building a Convolution as an Inception-Like Unit. - Xiaohan Ding; Xiangyu Zhang 005; Jungong Han; Guiguang Ding (CVPR, 2021)

RepVGG: Making VGG-Style ConvNets Great Again. - Xiaohan Ding; Xiangyu Zhang 005; Ningning Ma; Jungong Han; Guiguang Ding; Jian Sun 001 (CVPR, 2021)

ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. - Xiaohan Ding; Tianxiang Hao; Jianchao Tan; Ji Liu 002; Jungong Han; Yuchen Guo; Guiguang Ding (ICCV, 2021)

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition. - Xiaohan Ding; Xiangyu Zhang 005; Jungong Han; Guiguang Ding (CoRR, 2021)

Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs. - Xiaohan Ding; Xiangyu Zhang 005; Jungong Han; Guiguang Ding (CVPR, 2022)

RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality. - Xiaohan Ding; Honghao Chen; Xiangyu Zhang 005; Jungong Han; Guiguang Ding (CVPR, 2022)

A Likelihood Ratio Based Domain Adaptation Method for E2E Models. - Chhavi Choudhury; Ankur Gandhe; Xiaohan Ding; Ivan Bulyko (ICASSP, 2022)

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs. - Xiaohan Ding; Xiangyu Zhang 005; Yizhuang Zhou; Jungong Han; Guiguang Ding; Jian Sun 001 (CoRR, 2022)

Effects of pricing schemes and platform types on platform-based logistics services. - Xiaohan Ding; Nan Liu (Electron. Commer. Res. Appl., 2022)

Re-parameterizing Your Optimizers rather than Architectures. - Xiaohan Ding; Honghao Chen; Xiangyu Zhang 005; Kaiqi Huang; Jungong Han; Guiguang Ding (ICLR, 2023)

Evolving Semantic Prototype Improves Generative Zero-Shot Learning. - Shiming Chen 002; Wenjin Hou; Ziming Hong; Xiaohan Ding; Yibing Song; Xinge You; Tongliang Liu; Kun Zhang 001 (ICML, 2023)

Same Words, Different Meanings: Semantic Polarization in Broadcast Media Language Forecasts Polarity in Online Public Discourse. - Xiaohan Ding; Michael A. Horning; Eugenia Ha Rim Rho (ICWSM, 2023)

Same Words, Different Meanings: Semantic Polarization in Broadcast Media Language Forecasts Polarization on Social Media Discourse. - Xiaohan Ding; Mike Horning; Eugenia Ha Rim Rho (CoRR, 2023)

ToxVis: Enabling Interpretability of Implicit vs. Explicit Toxicity Detection Models with Interactive Visualization. - Uma Sushmitha Gunturi; Xiaohan Ding; Eugenia Ha Rim Rho (CoRR, 2023)

What Makes for Good Visual Tokenizers for Large Language Models? - Guangzhi Wang; Yixiao Ge; Xiaohan Ding; Mohan S. Kankanhalli; Ying Shan (CoRR, 2023)

Sticker820K: Empowering Interactive Retrieval with Stickers. - Sijie Zhao; Yixiao Ge; Zhongang Qi; Lin Song 002; Xiaohan Ding; Zehua Xie; Ying Shan (CoRR, 2023)

Towards Unified and Effective Domain Generalization. - Yiyuan Zhang; Kaixiong Gong; Xiaohan Ding; Kaipeng Zhang; Fangrui Lv; Kurt Keutzer; Xiangyu Yue 001 (CoRR, 2023)

RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets. - Zhicheng Cai; Xiaohan Ding; Qiu Shen; Xun Cao (CoRR, 2023)

Advancing Vision Transformers with Group-Mix Attention. - Chongjian Ge; Xiaohan Ding; Zhan Tong; Li Yuan; Jiangliu Wang; Yibing Song; Ping Luo (CoRR, 2023)

VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation. - Jinguo Zhu; Xiaohan Ding; Yixiao Ge; Yuying Ge; Sijie Zhao; Hengshuang Zhao; Xiaohua Wang; Ying Shan (CoRR, 2023)

Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language. - Xiaohan Ding; Buse Çarik; Uma Sushmitha Gunturi; Valerie Reyna; Eugenia Ha Rim Rho (CHI, 2024)

UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition. - Xiaohan Ding; Yiyuan Zhang; Yixiao Ge; Sijie Zhao; Lin Song 002; Xiangyu Yue 001; Ying Shan (CVPR, 2024)

Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs. - Lin Song 002; Yukang Chen; Shuai Yang; Xiaohan Ding; Yixiao Ge; Ying-Cong Chen; Ying Shan (CVPR, 2024)

Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities. - Yiyuan Zhang; Xiaohan Ding; Kaixiong Gong; Yixiao Ge; Ying Shan; Xiangyu Yue 001 (CVPR, 2024)

Quantized Prompt for Efficient Generalization of Vision-Language Models. - Tianxiang Hao; Xiaohan Ding; Juexiao Feng; Yuhong Yang 008; Hui Chen 013; Guiguang Ding (ECCV (19), 2024)

Online Vectorized HD Map Construction Using Geometry. - Zhixin Zhang; Yiyuan Zhang; Xiaohan Ding; Fusheng Jin; Xiangyu Yue 001 (ECCV (49), 2024)

InteractiveVideo: User-Centric Controllable Video Generation with Synergistic Multimodal Instructions. - Yiyuan Zhang; Yuhao Kang; Zhixin Zhang; Xiaohan Ding; Sanyuan Zhao; Xiangyu Yue 001 (CoRR, 2024)

Behind the Counter: Exploring the Motivations and Barriers of Online Counterspeech Writing. - Kaike Ping; Anisha Kumar; Xiaohan Ding; Eugenia Ha Rim Rho (CoRR, 2024)

SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation. - Yuying Ge; Sijie Zhao; Jinguo Zhu; Yixiao Ge; Kun Yi; Lin Song 002; Chen Li 046; Xiaohan Ding; Ying Shan (CoRR, 2024)

CounterQuill: Investigating the Potential of Human-AI Collaboration in Online Counterspeech Writing. - Xiaohan Ding; Kaike Ping; Uma Sushmitha Gunturi; Buse Çarik; Sophia Stil; Lance T. Wilhelm; Taufiq Daryanto; James Hawdon; Sang Won Lee 002; Eugenia Ha Rim Rho (CoRR, 2024)

Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations. - Yiyuan Zhang; Xiaohan Ding; Xiangyu Yue 001 (CoRR, 2024)

Vision Search Assistant: Empower Vision-Language Models as Multimodal Search Engines. - Zhixin Zhang; Yiyuan Zhang; Xiaohan Ding; Xiangyu Yue 001 (CoRR, 2024)

Linguistically Differentiating Acts and Recalls of Racial Microaggressions on Social Media. - Uma Sushmitha Gunturi; Anisha Kumar; Xiaohan Ding; Eugenia Ha Rim Rho (Proc. ACM Hum. Comput. Interact., 2024)

Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN. - Tianxiang Hao; Xiaohan Ding; Jungong Han; Yuchen Guo; Guiguang Ding (IEEE Trans. Neural Networks Learn. Syst., 2024)

Reimagining Support: Exploring Autistic Individuals' Visions for AI in Coping with Negative Self-Talk. - Buse Çarik; Victoria V. Izaac; Xiaohan Ding; Angela Scarpa; Eugenia Ha Rim Rho (CHI, 2025)

How Managers Perceive AI-Assisted Conversational Training for Workplace Communication. - Lance T. Wilhelm; Xiaohan Ding; Kirk McInnis Knutsen; Buse Çarik; Eugenia Ha Rim Rho (CUI, 2025)

Exploring Large Language Models Through a Neurodivergent Lens: Use, Challenges, Community-Driven Workarounds, and Concerns. - Buse Çarik; Kaike Ping; Xiaohan Ding; Eugenia Ha Rim Rho (Proc. ACM Hum. Comput. Interact., 2025)

Conversate: Supporting Reflective Learning in Interview Practice Through Interactive Simulation and Dialogic Feedback. - Taufiq Daryanto; Xiaohan Ding; Lance T. Wilhelm; Sophia Stil; Kirk McInnis Knutsen; Eugenia Ha Rim Rho (Proc. ACM Hum. Comput. Interact., 2025)

Seed1.5-VL Technical Report. - Dong Guo; Faming Wu; Feida Zhu 005; Fuxing Leng; Guang Shi; Haobin Chen; Haoqi Fan 001; Jian Wang; Jianyu Jiang; Jiawei Wang; Jingji Chen; Jingjia Huang; et al. (CoRR, 2025)

RefConv: Reparameterized Refocusing Convolution for Powerful ConvNets. - Zhicheng Cai; Xiaohan Ding; Qiu Shen; Xun Cao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Designing Conversational AI to Support Think-Aloud Practice in Technical Interview Preparation for CS Students. - Taufiq Daryanto; Sophia Stil; Xiaohan Ding; Daniel Manesh; Sang Won Lee 002; Tim Lee; Stephanie Lunn; Sarah Rodriguez; Chris Brown 001; Eugenia Ha Rim Rho (CoRR, 2025)