Zhenghao Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
12
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | DeepSenseMoE: Harnessing Power of Time Series Foundation Models for Few-Shot Human Activity Recognition. | Zenan Fu, Dongzhou Cheng, Lei Zhang, Wenbo Huang, Zhenghao Chen, Hao Wu |
| 2026 | AAAI | Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV. | Wenbo Huang, Jinghui Zhang, Zhenghao Chen, Guang Li, Lei Zhang, Yang Cao, Fang Dong, Takahiro Ogawa, Miki Haseyama |
| 2026 | DATE | MAEDA: An LLM-Powered Multi-Agent Evaluation Framework for EDA Tool Documentation QA. | Zhenghao Chen, Yuan Pu, Hairuo Han, Yuntao Nie, Jiajun Qin, Yuhan Qin, Tairu Qiu, Zhuolun He, Jianwang Zhai, Bei Yu, Kang Zhao |
| 2025 | ICCV | ECLR'25: 2nd Workshop on Efficient Computing Under Limited Resources: Visual Computing. | Jinyang Guo, Zhenghao Chen, Yuqing Ma, Yifu Ding, Xianglong Liu, Jinman Kim, Wanli Ouyang, Dacheng Tao |
| 2025 | ICCV | On-Device Diffusion Transformer Policy for Efficient Robot Manipulation. | Yiming Wu, Huan Wang, Zhenghao Chen, Jianxin Pang, Dong Xu |
| 2025 | ICLR | Frame-Voyager: Learning to Query Frames for Video Large Language Models. | Sicheng Yu, Chengkai Jin, Huanyu Wang, Zhenghao Chen, Sheng Jin, Zhongrong Zuo, Xiaolei Xu, Zhenbang Sun, Bingni Zhang, Jiawei Wu, Hao Zhang, Qianru Sun |
| 2024 | AAAI | UFDA: Universal Federated Domain Adaptation with Practical Assumptions. | Xinhui Liu, Zhenghao Chen, Luping Zhou, Dong Xu, Wei Xi, Gairui Bai, Yihan Zhao, Jizhong Zhao |
| 2024 | MICCAI | Baikal: Unpaired Denoising of Fluorescence Microscopy Images Using Diffusion Models. | Shivesh Chaudhary, Sivaramakrishnan Sankarapandian, Matt Sooknah, Joy Pai, Caroline McCue, Zhenghao Chen, Jun Xu |
| 2023 | CVPR | Neural Vector Fields: Implicit Representation by Explicit Learning. | Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou |
| 2023 | SMC | An Edge-Based Aquaculture Monitoring System for Fish Behavior Detection. | Di Cao, Zhenghao Chen, Lechao Zhang, Yu Zhang, Jian Lu, Yanjing Lei |
| 2022 | CVPR | LSVC: A Learning-based Stereo Video Compression Framework. | Zhenghao Chen, Guo Lu, Zhihao Hu, Shan Liu, Wei Jiang, Dong Xu |
| 2022 | ECCV | Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation. | Ziming Wang, Xiaoliang Huo, Zhenghao Chen, Jing Zhang, Lu Sheng, Dong Xu |
| 2020 | CVPR | Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition. | Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang |
| 2020 | ECCV | Improving Deep Video Compression by Resolution-Adaptive Flow Coding. | Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu |
| 2019 | IJCNN | Embeddings and Convolution, Is That the Best You can Do with Sentiment Features? | Ao Feng, Zhenghao Chen, Shuang Zhou, Xi Wu |
| 2017 | EDM | Real-time programming exercise feedback in MOOCs. | Zhenghao Chen, Andy Nguyen, Amory Schlender, Jiquan Ngiam |
| 2017 | ICONIP | Layer Removal for Transfer Learning with Deep Convolutional Neural Networks. | Weiming Zhi, Zhenghao Chen, Henry Wing Fung Yeung, Zhicheng Lu, Seid Miad Zandavi, Yuk Ying Chung |
| 2017 | ICONIP | Using Transfer Learning with Convolutional Neural Networks to Diagnose Breast Cancer from Histopathological Images. | Weiming Zhi, Henry Wing Fung Yeung, Zhenghao Chen, Seid Miad Zandavi, Zhicheng Lu, Yuk Ying Chung |
| 2017 | IJCNN | Neural net-based and safety-oriented visual analytics for time-spatial data. | Zhenghao Chen, Jianlong Zhou, Xiuying Wang, Jeremy Swanson, Fang Chen, Dagan Feng |
| 2016 | ICONIP | A New Weight Adjusted Particle Swarm Optimization for Real-Time Multiple Object Tracking. | Guang Liu, Zhenghao Chen, Henry Wing Fung Yeung, Yuk Ying Chung, Wei-Chang Yeh |
| 2013 | EDM | Tuned Models of Peer Assessment in MOOCs. | Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller |
| 2011 | ICML | Learning Deep Energy Models. | Jiquan Ngiam, Zhenghao Chen, Pang Wei Koh, Andrew Y. Ng |
| 2011 | ICML | On Random Weights and Unsupervised Feature Learning. | Andrew M. Saxe, Pang Wei Koh, Zhenghao Chen, Maneesh Bhand, Bipin Suresh, Andrew Y. Ng |