Going Deeper with Embedded FPGA Platform for Convolutional Neural Network. - Jiantao Qiu; Jie Wang 022; Song Yao; Kaiyuan Guo; Boxun Li; Erjin Zhou; Jincheng Yu; Tianqi Tang 001; Ningyi Xu; Sen Song; Yu Wang 002; Huazhong Yang (FPGA, 2016)

From model to FPGA: Software-hardware co-design for efficient neural network acceleration. - Kaiyuan Guo; Lingzhi Sui; Jiantao Qiu; Song Yao; Song Han 003; Yu Wang 002; Huazhong Yang (Hot Chips Symposium, 2016)

Angel-Eye: A Complete Design Flow for Mapping CNN onto Customized Hardware. - Kaiyuan Guo; Lingzhi Sui; Jiantao Qiu; Song Yao; Song Han 003; Yu Wang 002; Huazhong Yang (ISVLSI, 2016)

Instruction driven cross-layer CNN accelerator with winograd transformation on FPGA. - Jincheng Yu; Yiming Hu; Xuefei Ning; Jiantao Qiu; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (FPT, 2017)

Real-time object detection towards high power efficiency. - Jincheng Yu; Kaiyuan Guo; Yiming Hu; Xuefei Ning; Jiantao Qiu; Huizi Mao; Song Yao; Tianqi Tang 001; Boxun Li; Yu Wang 002; Huazhong Yang (DATE, 2018)

Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGA. - Kaiyuan Guo; Lingzhi Sui; Jiantao Qiu; Jincheng Yu; Junbin Wang; Song Yao; Song Han 003; Yu Wang 002; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Instruction Driven Cross-layer CNN Accelerator for Fast Detection on FPGA. - Jincheng Yu; Guangjun Ge; Yiming Hu; Xuefei Ning; Jiantao Qiu; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (ACM Trans. Reconfigurable Technol. Syst., 2018)

DNNVM: End-to-End Compiler Leveraging Operation Fusion on FPGA-based CNN Accelerators. - Yu Xing; Shuang Liang 010; Lingzhi Sui; Zhen Zhang; Jiantao Qiu; Xijie Jia; Xin Liu; Yushun Wang; Yi Shan; Yu Wang 002 (FPGA, 2019)

INCA: INterruptible CNN Accelerator for Multi-tasking in Embedded Robots. - Jincheng Yu; Zhilin Xu; Shulin Zeng; Chao Yu 005; Jiantao Qiu; Chaoyang Shen; Yuanfan Xu; Guohao Dai; Yu Wang 002; Huazhong Yang (DAC, 2020)

INCAME: INterruptible CNN Accelerator for Multi-robot Exploration. - Jincheng Yu; Zhilin Xu; Shulin Zeng; Chao Yu 005; Jiantao Qiu; Chaoyang Shen; Yuanfan Xu; Guohao Dai; Yu Wang 002; Huazhong Yang (FPGA, 2020)

DNNVM: End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-Based CNN Accelerators. - Yu Xing; Shuang Liang 010; Lingzhi Sui; Xijie Jia; Jiantao Qiu; Xin Liu; Yushun Wang; Yi Shan; Yu Wang 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Low-Cost Multi-Agent Navigation via Reinforcement Learning With Multi-Fidelity Simulator. - Jiantao Qiu; Chao Yu 005; Weiling Liu; Tianxiang Yang; Jincheng Yu; Yu Wang 002; Huazhong Yang (IEEE Access, 2021)

Multi-UAV Disaster Environment Coverage Planning with Limited-Endurance. - Hongyu Song; Jincheng Yu; Jiantao Qiu; Zhixiao Sun; Kuijun Lang; Qing Luo; Yuan Shen 001; Yu Wang 002 (ICRA, 2022)

Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration. - Yuanfan Xu; Jincheng Yu; Jiahao Tang; Jiantao Qiu; Jian Wang 030; Yuan Shen 001; Yu Wang 002; Huazhong Yang (ICRA, 2022)

Relative Distributed Formation and Obstacle Avoidance with Multi-agent Reinforcement Learning. - Yuzi Yan; Xiaoxiang Li; Xinyou Qiu; Jiantao Qiu; Jian Wang 030; Yu Wang 002; Yuan Shen 001 (ICRA, 2022)

A Mobile Robot Experiment System with Lightweight Simulator Generator for Deep Reinforcement Learning Algorithm. - Yunfei Xiang; Jiantao Qiu; Jincheng Yu; Jiahao Tang; Guangjun Ge; Yu Wang 002; Huazhong Yang (ROBIO, 2022)

Multi-UAV Coverage Planning with Limited Endurance in Disaster Environment. - Hongyu Song; Jincheng Yu; Jiantao Qiu; Zhixiao Sun; Kuijun Lang; Qing Luo; Yuan Shen 001; Yu Wang 002 (CoRR, 2022)

INCAME: Interruptible CNN Accelerator for Multirobot Exploration. - Jincheng Yu; Zhilin Xu; Shulin Zeng; Chao Yu 005; Jiantao Qiu; Zhaoyang Shen; Yuanfan Xu; Guohao Dai; Yu Wang 002; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

WanJuan: A Comprehensive Multimodal Dataset for Advancing English and Chinese Large Models. - Conghui He; Zhenjiang Jin; Chao Xu; Jiantao Qiu; Bin Wang 065; Wei Li 044; Hang Yan 001; Jiaqi Wang 003; Dahua Lin (CoRR, 2023)

WanJuan-CC: A Safe and High-Quality Open-sourced English Webtext Dataset. - Jiantao Qiu; Haijun Lv; Zhenjiang Jin; Rui Wang 119; Wenchang Ning; Jia Yu; ChaoBin Zhang; Zhenxiang Li; Pei Chu; Yuan Qu; Jin Shi; Lindong Lu; et al. (CoRR, 2024)

InternLM2 Technical Report. - Zheng Cai; Maosong Cao; Haojiong Chen; Kai Chen 026; Keyu Chen; Xin Chen; Xun Chen; Zehui Chen; Zhi Chen 006; Pei Chu; Xiaoyi Dong; Haodong Duan; et al. (CoRR, 2024)

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models. - Chi Zhang; Huaping Zhong; Kuan Zhang; Chengliang Chai; Rui Wang 119; Xinlin Zhuang; Tianyi Bai; Jiantao Qiu; Lei Cao 004; Ye Yuan 001; Guoren Wang; Conghui He (CoRR, 2024)

Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining. - Tianyi Bai; Ling Yang 006; Zhen Hao Wong; Jiahui Peng; Xinlin Zhuang; Chi Zhang; Lijun Wu; Jiantao Qiu; Wentao Zhang 001; Binhang Yuan; Conghui He (CoRR, 2024)

Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration. - Tianyi Bai; Ling Yang 006; Zhen Hao Wong; Fupeng Sun; Xinlin Zhuang; Jiahui Peng; Chi Zhang; Lijun Wu; Jiantao Qiu; Wentao Zhang 001; Binhang Yuan; Conghui He (ACL (1), 2025)

Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models. - Xinlin Zhuang; Jiahui Peng; Ren Ma; Yinfan Wang; Tianyi Bai; Xingjian Wei; Jiantao Qiu; Chi Zhang; Ying Qian; Conghui He (ACL (1), 2025)

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models. - Chi Zhang; Huaping Zhong; Kuan Zhang; Chengliang Chai; Rui Wang 119; Xinlin Zhuang; Tianyi Bai; Jiantao Qiu; Lei Cao 004; Ju Fan; Ye Yuan 001; Guoren Wang; et al. (ICLR, 2025)

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages. - Jia Yu; Fei Yuan 006; Rui Min; Jing Yu; Pei Chu; Jiayang Li; Wei Li 044; Ruijie Zhang; Zhenxiang Li; Zhifei Ren; Dong Zheng; Wenjian Zhang; et al. (CoRR, 2025)

Unsupervised Topic Models are Data Mixers for Pre-training Language Models. - Jiahui Peng; Xinlin Zhuang; Jiantao Qiu; Ren Ma; Jing Yu; Tianyi Bai; Conghui He (CoRR, 2025)

Not All Documents Are What You Need for Extracting Instruction Tuning Data. - Chi Zhang; Huaping Zhong; Hongtao Li; Chengliang Chai; Jiawei Hong; Yuhao Deng; Jiacheng Wang; Tian Tan 025; Yizhou Yan; Jiantao Qiu; Ye Yuan 001; Guoren Wang; et al. (CoRR, 2025)

Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning. - Tianyi Bai; Yuxuan Fan; Jiantao Qiu; Fupeng Sun; Jiayi Song; Junlin Han; Zichen Liu; Conghui He; Wentao Zhang 001; Binhang Yuan (CoRR, 2025)

Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification. - Tianyi Bai; Zengjie Hu; Fupeng Sun; Jiantao Qiu; Yizhen Jiang; Guangxin He; Bohan Zeng; Conghui He; Binhang Yuan; Wentao Zhang 001 (CoRR, 2025)