Hanting Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
11
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Multi-Granularity Semantic Revision for Large Language Model Distillation. | Xiaoyu Liu, Yun Zhang, Wei Li, Simiao Li, Xudong Huang, Hanting Chen, Yehui Tang, Jie Hu, Zhiwei Xiong, Yunhe Wang |
| 2026 | ACL | MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers. | Linrui Ma, Chun Hei Lo, Xinyu Wang, Peng Lu, Xihao Yuan, Hanting Chen, Kai Han, Xinghao Chen, Chengjun Zhan, Hanlin Xu, Yichun Yin, Lifeng Shang, Feng Wen, Boxing Chen, Yufei Cui |
| 2026 | ISCAS | A 6.86Tb/s Bandwidth SOT-MRAM Sensing Scheme with Configurable Full-Column Over Frequency Technique for Near Memory Computing. | Xinpeng Jiang, Hanting Chen, Zhaohao Wang, He Zhang, Weisheng Zhao |
| 2025 | AAAI | GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization. | Yirui Chen, Xudong Huang, Quan Zhang, Wei Li, Mingjian Zhu, Qiangyu Yan, Simiao Li, Hanting Chen, Hailin Hu, Jie Yang, Wei Liu, Jie Hu |
| 2025 | CVPR | RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler. | Xin Ding, Lei Yu, Xin Li, Zhijun Tu, Hanting Chen, Jie Hu, Zhibo Chen |
| 2025 | CVPR | DiC: Rethinking Conv3x3 Designs in Diffusion Models. | Yuchuan Tian, Jing Han, Chengcheng Wang, Yuchen Liang, Chao Xu, Hanting Chen |
| 2025 | ICASSP | Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement. | Xihao Yuan, Siqi Liu, Hanting Chen, Lu Zhou, Jian Li, Jie Hu |
| 2025 | ICLR | CBQ: Cross-Block Quantization for Large Language Models. | Xin Ding, Xiaoyu Liu, Zhijun Tu, Yun Zhang, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang |
| 2025 | ICLR | Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models. | Yuchen Liang, Xiangzhong Fang, Hanting Chen, Yunhe Wang |
| 2025 | ICLR | Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution. | Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu |
| 2025 | ICLR | AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution. | Yun Zhang, Wei Li, Simiao Li, Hanting Chen, Zhijun Tu, Bingyi Jing, Shaohui Lin, Jie Hu, Wenjia Wang |
| 2025 | ICML | MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles. | Jing Han, Binwei Yan, Tianyu Guo, Zheyuan Bai, Mengyu Zheng, Hanting Chen, Ying Nie |
| 2025 | Interspeech | SaD: A Scenario-Aware Discriminator for Speech Enhancement. | Xihao Yuan, Siqi Liu, Yan Chen, Hang Zhou, Chang Liu, Hanting Chen, Jie Hu |
| 2024 | CVPR | Image Processing GNN: Breaking Rigidity in Super-Resolution. | Yuchuan Tian, Hanting Chen, Chao Xu, Yunhe Wang |
| 2024 | CVPR | Distilling Semantic Priors from SAM to Efficient Image Restoration Models. | Quan Zhang, Xiaoyu Liu, Wei Li, Hanting Chen, Junchao Liu, Jie Hu, Zhiwei Xiong, Chun Yuan, Yunhe Wang |
| 2024 | ECCV | Learning Quantized Adaptive Conditions for Diffusion Models. | Yuchen Liang, Yuchan Tian, Lei Yu, Huaao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen |
| 2024 | ECCV | PQ-SAM: Post-training Quantization for Segment Anything Model. | Xiaoyu Liu, Xin Ding, Lei Yu, Yuanyuan Xi, Wei Li, Zhijun Tu, Jie Hu, Hanting Chen, Baoqun Yin, Zhiwei Xiong |
| 2024 | ICLR | Multiscale Positive-Unlabeled Detection of AI-Generated Texts. | Yuchuan Tian, Hanting Chen, Xutao Wang, Zheyuan Bai, Qinghua Zhang, Ruifeng Li, Chao Xu, Yunhe Wang |
| 2024 | ICML | DiJiang: Efficient Large Language Models through Compact Kernelization. | Hanting Chen, Liuzhi Cheng, Xutao Wang, Yuchuan Tian, Yunhe Wang |
| 2023 | CVPR | RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis. | Xudong Huang, Wei Li, Jie Hu, Hanting Chen, Yunhe Wang |
| 2023 | CVPR | NTIRE 2023 Challenge on Image Denoising: Methods and Results. | Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, Hailing Wang, Hanting Chen, Wei Li, Xiaofei Wang, Jie Hu, Yunhe Wang, Xiangyu Kong, Jinlong Wu, Dafeng Zhang, Jianxing Zhang, Shuai Liu, Furui Bai, Chaoyu Feng, Hao Wang, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Rongjian Xu, Zhilu Zhang, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qi Wu, Mingyan Han, Shen Cheng, Haipeng Li, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Jinting Luo, Wenjie Lin, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Aditya Arora, Syed Waqas Zamir, Javier Vazquez-Corral, Konstantinos G. Derpanis, Michael S. Brown, Hao Li, Zhihao Zhao, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bo Yang, Jingxiang Chen, Chenghua Li, Xi Zhang, Zhao Zhang, Jiahuan Ren, Zhicheng Ji, Kang Miao, Suiyi Zhao, Huan Zheng, Yanyan Wei, Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin, Rajeev Irny, Sriharsha Koundinya, Vighnesh Kamath, Gaurav Khandelwal, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Shijie Chen, Chengqiang Zhao, Huabin Yang, Zhongjian Zhang, Junjia Huang, Yanru Zhang |
| 2023 | CVPR | Toward Accurate Post-Training Quantization for Image Super Resolution. | Zhijun Tu, Jie Hu, Hanting Chen, Yunhe Wang |
| 2022 | CVPR | Brain-inspired Multilayer Perceptron with Spiking Neurons. | Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, Yunhe Wang |
| 2022 | ICML | Federated Learning with Positive and Unlabeled Data. | Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang |
| 2021 | CVPR | Pre-Trained Image Processing Transformer. | Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao |
| 2021 | CVPR | Learning Student Networks in the Wild. | Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang |
| 2021 | CVPR | AdderSR: Towards Energy Efficient Image Super-Resolution. | Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao |
| 2021 | CVPR | Data-Free Knowledge Distillation for Image Super-Resolution. | Yiman Zhang, Hanting Chen, Xinghao Chen, Yiping Deng, Chunjing Xu, Yunhe Wang |
| 2021 | ICML | Winograd Algorithm for AdderNet. | Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang |
| 2020 | AAAI | Distilling Portable Generative Adversarial Networks for Image Translation. | Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu |
| 2020 | CVPR | Frequency Domain Compact 3D Convolutional Neural Networks. | Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu |
| 2020 | CVPR | AdderNet: Do We Really Need Multiplications in Deep Learning? | Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu |
| 2020 | CVPR | A Semi-Supervised Assessor of Neural Architectures. | Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu |
| 2019 | ICCV | Data-Free Learning of Student Networks. | Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian |
| 2019 | ICCV | Co-Evolutionary Compression for Unpaired Image Translation. | Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu |
| 2019 | ICML | LegoNet: Efficient Convolutional Neural Networks with Lego Filters. | Zhaohui Yang, Yunhe Wang, Chuanjian Liu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu |
| 2019 | IJCAI | Crafting Efficient Neural Graph of Large Entropy. | Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu |