Attention Estimation for Input Switch in Scalable Multi-display Environments. - Xingyuan Bu; Mingtao Pei; Yunde Jia (ICONIP (4), 2016)

Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds. - Zhi Gao; Yuwei Wu 001; Xingyuan Bu; Yunde Jia (CoRR, 2017)

Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance. - Yuan Gao; Xingyuan Bu; Yang Hu; Hui Shen; Ti Bai; Xubin Li; Shilei Wen (CoRR, 2018)

Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019. - Xingyuan Bu; Junran Peng; Changbao Wang; Cunjun Yu; Guoliang Cao (CoRR, 2019)

Deep convolutional network with locality and sparsity constraints for texture classification. - Xingyuan Bu; Yuwei Wu 001; Zhi Gao; Yunde Jia (Pattern Recognit., 2019)

Learning a robust representation via a deep network on symmetric positive definite manifolds. - Zhi Gao; Yuwei Wu 001; Xingyuan Bu; Tan Yu; Junsong Yuan 001; Yunde Jia (Pattern Recognit., 2019)

Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels. - Junran Peng; Xingyuan Bu; Ming Sun 008; Zhaoxiang Zhang 001; Tieniu Tan; Junjie Yan (CVPR, 2020)

DETR for Pedestrian Detection. - Matthieu Lin; Chuming Li; Xingyuan Bu; Ming Sun 008; Chen Lin 003; Junjie Yan; Wanli Ouyang; Zhidong Deng (CoRR, 2020)

GAIA: A Transfer Learning System of Object Detection That Fits Your Needs. - Xingyuan Bu; Junran Peng; Junjie Yan; Tieniu Tan; Zhaoxiang Zhang 001 (CVPR, 2021)

Visual Encoding and Debiasing for CTR Prediction. - Guipeng Xv; Si Chen 010; Chen Lin 001; Wanxian Guan; Xingyuan Bu; Xubin Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (CIKM, 2022)

Beyond Bounding Box: Multimodal Knowledge Learning for Object Detection. - Weixin Feng; Xingyuan Bu; Chenchen Zhang; Xubin Li (CoRR, 2022)

Visual Encoding and Debiasing for CTR Prediction. - Si Chen 010; Chen Lin 001; Wanxian Guan; Jiayi Wei; Xingyuan Bu; He Guo 006; Hui Li 057; Xubin Li; Jian Xu 015; Bo Zheng 007 (CoRR, 2022)

GAIA-Universe: Everything is Super-Netify. - Junran Peng; Qing Chang; Haoran Yin; Xingyuan Bu; Jiajun Sun; Lingxi Xie; Xiaopeng Zhang 008; Qi Tian 001; Zhaoxiang Zhang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues. - Ge Bai; Jie Liu 047; Xingyuan Bu; Yancheng He; Jiaheng Liu; Zhanhui Zhou; Zhuoran Lin; Wenbo Su; Tiezheng Ge; Bo Zheng 007; Wanli Ouyang (ACL (1), 2024)

ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models. - Yanan Wu; Jie Liu 047; Xingyuan Bu; Jiaheng Liu; Zhanhui Zhou; Yuanxing Zhang; Chenchen Zhang; Zhiqi Bai; Haibin Chen; Tiezheng Ge; Wanli Ouyang; Wenbo Su; et al. (ACL (Findings), 2024)

GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models. - Shilong Li; Yancheng He; Hangyu Guo; Xingyuan Bu; Ge Bai; Jie Liu 047; Jiaheng Liu; Xingwei Qu; Yangguang Li 001; Wanli Ouyang; Wenbo Su; Bo Zheng 007 (EMNLP (Findings), 2024)

RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts. - Jiaheng Liu; Zehao Ni; Haoran Que; Tao Sun 016; Noah Wang; Jian Yang 030; Jiakai Wang; Hongcheng Guo; Zhongyuan Peng; Ge Zhang 009; Jiayi Tian; Xingyuan Bu; et al. (NeurIPS, 2024)

Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level. - Jie Liu 047; Zhanhui Zhou; Jiaheng Liu; Xingyuan Bu; Chao Yang 026; Hansen Zhong; Wanli Ouyang (CoRR, 2024)

Online Learning of Multiple Tasks and Their Relationships : Testing on Spam Email Data and EEG Signals Recorded in Construction Fields. - Yixin Jin; Wenjing Zhou; Meiqi Wang; Meng Li; Xintao Li; Tianyu Hu; Xingyuan Bu (CoRR, 2024)

Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment. - Yanshi Li; Shaopan Xiong; Gengru Chen; Xiaoyang Li; Yijia Luo; Xingyao Zhang; Yanhui Huang; Xingyuan Bu; Yingshui Tan; Chun Yuan; Jiamang Wang; Wenbo Su; et al. (CoRR, 2024)

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. - Yancheng He; Shilong Li; Jiaheng Liu; Yingshui Tan; Weixun Wang; Hui Huang 021; Xingyuan Bu; Hangyu Guo; Chengwei Hu; Boren Zheng; Zhuoran Lin; Xuepeng Liu; et al. (CoRR, 2024)

Large-Scale Object Detection in the Wild With Imbalanced Data Distribution, and Multi-Labels. - Cong Pan 001; Junran Peng; Xingyuan Bu; Zhaoxiang Zhang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4. - Hui Huang 021; Xingyuan Bu; Hongli Zhou 001; Yingqi Qu; Jing Liu; Muyun Yang; Bing Xu; Tiejun Zhao (ACL (Findings), 2025)

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. - Yancheng He; Shilong Li; Jiaheng Liu; Yingshui Tan; Weixun Wang; Hui Huang 021; Xingyuan Bu; Hangyu Guo; Chengwei Hu; Boren Zheng; Zhuoran Lin; Dekai Sun; et al. (ACL (1), 2025)

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? - Yancheng He; Shilong Li; Jiaheng Liu; Weixun Wang; Xingyuan Bu; Ge Zhang 009; Z. Y. Peng; Zhaoxiang Zhang 001; Zhicheng Zheng; Wenbo Su; Bo Zheng 007 (ACL (1), 2025)

2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision. - Shilong Li; Yancheng He; Hui Huang 021; Xingyuan Bu; Jiaheng Liu; Hangyu Guo; Weixun Wang; Jihao Gu; Wenbo Su; Bo Zheng 007 (NAACL (Findings), 2025)

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models. - Jianyu Liu; Hangyu Guo; Ranjie Duan; Xingyuan Bu; Yancheng He; Shilong Li; Hui Huang 021; Jiaheng Liu; Yucheng Wang; Chenchen Jing; Xingwei Qu; Xiao Zhang; et al. (NAACL (Long Papers), 2025)

Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language Models. - Yingshui Tan; Yilei Jiang; Yanshi Li; Jiaheng Liu; Xingyuan Bu; Wenbo Su; Xiangyu Yue 001; Xiaoyong Zhu; Bo Zheng 007 (CoRR, 2025)

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines. - M.-A-P. Team; Xinrun Du; Yifan Yao; Kaijing Ma; Bingli Wang; Tianyu Zheng; Kang Zhu; Minghao Liu; Yiming Liang; Xiaolong Jin; Zhenlin Wei; Chujie Zheng; et al. (CoRR, 2025)

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? - Yancheng He; Shilong Li; Jiaheng Liu; Weixun Wang; Xingyuan Bu; Ge Zhang 009; Zhongyuan Peng; Zhaoxiang Zhang 001; Zhicheng Zheng; Wenbo Su; Bo Zheng 007 (CoRR, 2025)

COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values. - M.-A-P. Team; Siwei Wu; Jincheng Ren; Xinrun Du; Shuyue Guo; Xingwei Qu; Yiming Liang; Jie Liu 047; Yunwen Li; Tianyu Zheng; Boyu Feng; Huaqing Yuan; et al. (CoRR, 2025)

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models. - Jianyu Liu; Hangyu Guo; Ranjie Duan; Xingyuan Bu; Yancheng He; Shilong Li; Hui Huang 021; Jiaheng Liu; Yucheng Wang; Chenchen Jing; Xingwei Qu; Xiao Zhang; et al. (CoRR, 2025)

KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation. - Jiajun Shi; Jian Yang; Jiaheng Liu; Xingyuan Bu; Jiangjie Chen; Junting Zhou; Kaijing Ma; Zhoufutu Wen; Bingli Wang; Yancheng He; Liang Song; Hualei Zhu; et al. (CoRR, 2025)

MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents. - Shilong Li; Xingyuan Bu; Wenjie Wang; Jiaheng Liu; Jun Dong; Haoyang He; Hao Lu; Haozhe Zhang; Chenchen Jing; Zhen Li; Chuanhao Li; Jiayi Tian; et al. (CoRR, 2025)