Jiacheng Guo

According to our database, Jiacheng Guo authored at least 32 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

The value of radiomics features of white matter hyperintensities in diagnosing cognitive frailty: a study based on T2-FLAIR imaging.

Qinmei Liao, Xihao Hu, Zhiqiong Jiang, Xiaoyun Huang, Jiacheng Guo, Yuanzhong Zhu, Wenjing He

BMC Medical Imaging, December, 2025

FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction.

Zhiyuan Zeng, Jiashuo Liu, Siyuan Chen, Tianci He, Yali Liao, Jinpeng Wang, Zaiyuan Wang, Yang Yang, Lingyue Yin, Mingren Yin, Zhenwei Zhu, Tianle Cai, Zehui Chen, Jiecao Chen, Yantao Du, Xiang Gao, Jiacheng Guo, Liang Hu, Jianpeng Jiao, Xiangsheng Li, Jingkai Liu, Shuang Ni, Zhoufutu Wen, Ge Zhang, Kaiyuan Zhang, Xin Zhou, Jose Blanchet, Xipeng Qiu, Mengdi Wang, Wenhao Huang

CoRR, August, 2025

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes.

Jiahao Qiu, Xinzhe Juan, Yimin Wang, Ling Yang, Xuan Qi, Tongcheng Zhang, Jiacheng Guo, Yifu Lu, Zixin Yao, Hongru Wang, Shilong Liu, Xun Jiang, Liu Leqi, Mengdi Wang

CoRR, June, 2025

Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution.

Jiahao Qiu, Xuan Qi, Tongcheng Zhang, Xinzhe Juan, Jiacheng Guo, Yifu Lu, Yimin Wang, Zixin Yao, Qihan Ren, Xun Jiang, Xing Zhou, Dongrui Liu, Ling Yang, Yue Wu, Kaixuan Huang, Shilong Liu, Hongru Wang, Mengdi Wang

CoRR, May, 2025

On Path to Multimodal Historical Reasoning: HistBench and HistAgent.

Jiahao Qiu, Fulian Xiao, Yimin Wang, Yuchen Mao, Yijia Chen, Xinzhe Juan, Siran Wang, Xuan Qi, Tongcheng Zhang, Zixin Yao, Jiacheng Guo, Yifu Lu, Charles Argon, Jundi Cui, Daixin Chen, Junran Zhou, Shuyao Zhou, Zhanpeng Zhou, Ling Yang, Shilong Liu, Hongru Wang, Kaixuan Huang, Xun Jiang, Yuming Cao, Yue Chen, Yunfei Chen, Zhengyi Chen, Ruowei Dai, Mengqiu Deng, Jiye Fu, Yunting Gu, Zijie Guan, Zirui Huang, Xiaoyan Ji, Yumeng Jiang, Delong Kong, Haolong Li, Jiaqi Li, Ruipeng Li, Tianze Li, Zhuoran Li, Haixia Lian, Mengyue Lin, Xudong Liu, Jiayi Lu, Jinghan Lu, Wanyu Luo, Ziyue Luo, Zihao Pu, Zhi Qiao, Ruihuan Ren, Liang Wan, Ruixiang Wang, Tianhui Wang, Yang Wang, Zeyu Wang, Zihua Wang, Yujia Wu, Zhaoyi Wu, Hao Xin, Weiao Xing, Ruojun Xiong, Weijie Xu, Yao Shu, Xiao Yao, Xiaorui Yang, Yuchen Yang, Nan Yi, Jiadong Yu, Yangyuxuan Yu, Huiting Zeng, Danni Zhang, Yunjie Zhang, Zhaoyu Zhang, Zhiheng Zhang, Xiaofeng Zheng, Peirong Zhou, Linyan Zhong, Xiaoyin Zong, Ying Zhao, Zhenxin Chen, Lin Ding, Xiaoyu Gao, Bingbing Gong, Yichao Li, Yang Liao, Guang Ma, Tianyuan Ma, Xinrui Sun, Tianyi Wang, Han Xia, Ruobing Xian, Gen Ye, Tengfei Yu, Wentao Zhang, Yuxi Wang, Xi Gao, Mengdi Wang

CoRR, May, 2025

Temporal Consistency for LLM Reasoning Process Error Identification.

Jiacheng Guo, Yue Wu, Jiahao Qiu, Kaixuan Huang, Xinzhe Juan, Ling Yang, Mengdi Wang

CoRR, March, 2025

MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations.

Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang

CoRR, February, 2025

A unified DNN weight compression framework using reweighted optimization methods.

Mengchen Fan, Tianyun Zhang, Xiaolong Ma, Jiacheng Guo, Zheng Zhan, Shanglin Zhou, Minghai Qin, Caiwen Ding, Baocheng Geng, Makan Fardad, Yanzhi Wang

Intell. Syst. Appl., 2025

A min-max optimization framework for sparse multi-task deep neural network.

Jiacheng Guo, Lei Li, Huiming Sun, Minghai Qin, Hongkai Yu, Tianyun Zhang

Neurocomputing, 2025

Robust Multi-task Adversarial Attacks Using Min-max Optimization.

Jiacheng Guo, Lei Li, Haochen Yang, Baocheng Geng, Hongkai Yu, Minghai Qin, Tianyun Zhang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing.

Lei Li, Haochen Yang, Jiacheng Guo, Hongkai Yu, Minghai Qin, Tianyun Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Miniaturized D-Band CMOS Rat-Race Coupler With Slow-Wave Transmission Line and Phase Inverter.

Yizhu Shen, Jinghao Zou, Jiacheng Guo, Sanming Hu

IEEE Trans. Circuits Syst. II Express Briefs, June, 2024

Traffic sign recognition using optimized YOLO network based on multi-scale feature extraction and attention mechanism.

Yong Yan, Haoran Zhao, Yunpeng Li, Xuejun Liu, Weiwei Wang, Jiacheng Guo, Shuo Zhang, Yun Sha, Xuerui Wang, Yinan Jiang

J. Electronic Imaging, 2024

Stealthy Multi-Task Adversarial Attacks.

Jiacheng Guo, Tianyun Zhang, Lei Li, Haochen Yang, Hongkai Yu, Minghai Qin

CoRR, 2024

TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling.

Jiahao Qiu, Yifu Lu, Yifan Zeng, Jiacheng Guo, Jiayi Geng, Huazheng Wang, Kaixuan Huang, Yue Wu, Mengdi Wang

CoRR, 2024

V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions.

Baolu Li, Jinlong Li, Xinyu Liu, Runsheng Xu, Zhengzhong Tu, Jiacheng Guo, Xiaopeng Li, Hongkai Yu

CoRR, 2024

Kinematic Modeling and Control of a Wire-Driven Surgical Robot.

Jiacheng Guo, Qinjian Zhang, Haiyuan Li, Xin Ni, Yaopeng Zhang, Sukun Tian

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2024

EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV.

Huiming Sun, Jiacheng Guo, Zibo Meng, Tianyun Zhang, Jianwu Fang, Yuewei Lin, Hongkai Yu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

A Min-Max Optimization Framework for Multi-task Deep Neural Network Compression.

Jiacheng Guo, Huiming Sun, Minghai Qin, Hongkai Yu, Tianyun Zhang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Information-Directed Pessimism for Offline Reinforcement Learning.

Alec Koppel, Sujay Bhatt, Jiacheng Guo, Joe Eappen, Mengdi Wang, Sumitra Ganesh

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bifurcated Attention for Single-Context Large-Batch Sampling.

Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight.

Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Video spatio-temporal generative adversarial network for local action generation.

Xuejun Liu, Jiacheng Guo, Zhongji Cui, Ling Liu, Yong Yan, Yun Sha

J. Electronic Imaging, 2023

Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP.

Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang

Proceedings of the International Conference on Machine Learning, 2023

Tracking without Label: Unsupervised Multiple Object Tracking via Contrastive Similarity Learning.

Sha Meng, Dian Shao, Jiacheng Guo, Shan Gao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Data-driven Modeling and Prediction of Obstructive Sleep Apnea based on Physics-guided Pathophysiological Understanding.

Chukwuemeka Ochieze, Jiacheng Guo, Yuchen Gong, Younghoon Kwon, Haibo Dong, Ye Sun

Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2022

Multi-network Transmission Mechanism in Narrow-band Weak Connection Environment.

Jiacheng Guo, Jinbin Tu, Yun Wang

Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022

2021

Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising.

Xin Wang, Peng Yang, Shaopeng Chen, Lin Liu, Lian Zhao, Jiacheng Guo, Mingming Sun, Ping Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Mapping research collaborations in different countries and regions: 1980-2019.

Zhigang Hu, Wencan Tian, Jiacheng Guo, Xianwen Wang

Scientometrics, 2020

Adaptive Remote Sensing Image Attribute Learning for Active Object Detection.

Nuo Xu, Chunlei Huo, Jiacheng Guo, Yiwei Liu, Jian Wang, Chunhong Pan

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search.

Miao Fan, Jiacheng Guo, Shuai Zhu, Shuo Miao, Mingming Sun, Ping Li

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2014

Prostate Segmentation Based on Variant Scale Patch and Local Independent Projection.

Yao Wu, Guoqing Liu, Meiyan Huang, Jiacheng Guo, Jun Jiang, Wei Yang, Wufan Chen, Qianjin Feng

IEEE Trans. Medical Imaging, 2014