| 2026 | CHI | Human-Human-AI Triadic Programming: Uncovering the Role of AI Agent and the Value of Human Partner in Collaborative Learning. | Taufiq Daryanto, Xiaohan Ding, Kaike Ping, Lance T. Wilhelm, Yan Chen, Chris Brown, Eugenia Ha Rim Rho |
| 2026 | CHI | "Are we writing an advice column for Spock here?" Understanding Stereotypes in AI Advice for Autistic Users. | Caleb Wohn, Buse arik, Xiaohan Ding, Sang Won Lee, Young-Ho Kim, Eugenia Ha Rim Rho |
| 2025 | CHI | Reimagining Support: Exploring Autistic Individuals' Visions for AI in Coping with Negative Self-Talk. | Buse arik, Victoria V. Izaac, Xiaohan Ding, Angela Scarpa, Eugenia Ha Rim Rho |
| 2025 | EMNLP | A Multi-Level Benchmark for Causal Language Understanding in Social Media Discourse. | Xiaohan Ding, Kaike Ping, Buse arik, Eugenia Ha Rim Rho |
| 2024 | CHI | Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language. | Xiaohan Ding, Buse arik, Uma Sushmitha Gunturi, Valerie Reyna, Eugenia Ha Rim Rho |
| 2024 | CVPR | 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, Xiangyu Yue, Ying Shan |
| 2024 | CVPR | Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs. | Lin Song, Yukang Chen, Shuai Yang, Xiaohan Ding, Yixiao Ge, Ying-Cong Chen, Ying Shan |
| 2024 | CVPR | Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities. | Yiyuan Zhang, Xiaohan Ding, Kaixiong Gong, Yixiao Ge, Ying Shan, Xiangyu Yue |
| 2024 | ECCV | Quantized Prompt for Efficient Generalization of Vision-Language Models. | Tianxiang Hao, Xiaohan Ding, Juexiao Feng, Yuhong Yang, Hui Chen, Guiguang Ding |
| 2024 | ECCV | Online Vectorized HD Map Construction Using Geometry. | Zhixin Zhang, Yiyuan Zhang, Xiaohan Ding, Fusheng Jin, Xiangyu Yue |
| 2023 | ICLR | Re-parameterizing Your Optimizers rather than Architectures. | Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Kaiqi Huang, Jungong Han, Guiguang Ding |
| 2023 | ICML | Evolving Semantic Prototype Improves Generative Zero-Shot Learning. | Shiming Chen, Wenjin Hou, Ziming Hong, Xiaohan Ding, Yibing Song, Xinge You, Tongliang Liu, Kun Zhang |
| 2023 | ICWSM | 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 |
| 2022 | CVPR | Scaling Up Your Kernels to 3131: Revisiting Large Kernel Design in CNNs. | Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding |
| 2022 | CVPR | RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality. | Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Jungong Han, Guiguang Ding |
| 2022 | ICASSP | A Likelihood Ratio Based Domain Adaptation Method for E2E Models. | Chhavi Choudhury, Ankur Gandhe, Xiaohan Ding, Ivan Bulyko |
| 2021 | CVPR | Diverse Branch Block: Building a Convolution as an Inception-Like Unit. | Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding |
| 2021 | CVPR | RepVGG: Making VGG-Style ConvNets Great Again. | Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun |
| 2021 | ICCV | ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. | Xiaohan Ding, Tianxiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding |
| 2019 | AAAI | Dual-View Ranking with Hardness Assessment for Zero-Shot Learning. | Yuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Zheng Wang, Chenggang Yan, Qionghai Dai |
| 2019 | CVPR | Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure. | Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han |
| 2019 | ICCV | ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. | Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han |
| 2019 | ICML | Approximated Oracle Filter Pruning for Destructive CNN Width Optimization. | Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan |
| 2018 | AAAI | Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks. | Xiaohan Ding, Guiguang Ding, Jungong Han, Sheng Tang |