Prostate Segmentation Based on Variant Scale Patch and Local Independent Projection. - Yao Wu; Guoqing Liu; Meiyan Huang; Jiacheng Guo; Jun Jiang; Wei Yang 006; Wufan Chen; Qianjin Feng (IEEE Trans. Medical Imaging, 2014)

MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search. - Miao Fan; Jiacheng Guo; Shuai Zhu; Shuo Miao; Mingming Sun 001; Ping Li 001 (KDD, 2019)

Adaptive Remote Sensing Image Attribute Learning for Active Object Detection. - Nuo Xu; Chunlei Huo; Jiacheng Guo; Yiwei Liu; Jian Wang 068; Chunhong Pan (ICPR, 2020)

Mapping research collaborations in different countries and regions: 1980-2019. - Zhigang Hu; Wencan Tian; Jiacheng Guo; Xianwen Wang (Scientometrics, 2020)

Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising. - Xin Wang 017; Peng Yang 013; Shaopeng Chen; Lin Liu; Lian Zhao; Jiacheng Guo; Mingming Sun 001; Ping Li 001 (CIKM, 2021)

Multi-network Transmission Mechanism in Narrow-band Weak Connection Environment. - Jiacheng Guo; Jinbin Tu; Yun Wang (APNOMS, 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 (CHASE, 2022)

Tracking without Label: Unsupervised Multiple Object Tracking via Contrastive Similarity Learning. - Sha Meng; Dian Shao; Jiacheng Guo; Shan Gao 003 (ICCV, 2023)

Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP. - Jiacheng Guo; Zihao Li; Huazheng Wang; Mengdi Wang; Zhuoran Yang; Xuezhou Zhang (ICML, 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)

Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight. - Jiacheng Guo; Minshuo Chen; Huan Wang 014; Caiming Xiong; Mengdi Wang; Yu Bai 017 (ICLR, 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 022; Jiacheng Guo; Liangfu Chen; Parminder Bhatia; Ramesh Nallapati; Sudipta Sengupta; et al. (ICML, 2024)

Information-Directed Pessimism for Offline Reinforcement Learning. - Alec Koppel; Sujay Bhatt; Jiacheng Guo; Joe Eappen; Mengdi Wang; Sumitra Ganesh (ICML, 2024)

A Min-Max Optimization Framework for Multi-task Deep Neural Network Compression. - Jiacheng Guo; Huiming Sun; Minghai Qin; Hongkai Yu; Tianyun Zhang (ISCAS, 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 (IV, 2024)

Kinematic Modeling and Control of a Wire-Driven Surgical Robot. - Jiacheng Guo; Qinjian Zhang; Haiyuan Li; Xin Ni; Yaopeng Zhang; Sukun Tian (ROBIO, 2024)

V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions. - Baolu Li; Jinlong Li; Xinyu Liu 009; Runsheng Xu; Zhengzhong Tu; Jiacheng Guo; Xiaopeng Li; Hongkai Yu (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)

Stealthy Multi-Task Adversarial Attacks. - Jiacheng Guo; Tianyun Zhang; Lei Li; Haochen Yang; Hongkai Yu; Minghai Qin (CoRR, 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)

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, 2024)

An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing. - Lei Li; Haochen Yang; Jiacheng Guo; Hongkai Yu; Minghai Qin; Tianyun Zhang (AAAI, 2025)

Robust Multi-task Adversarial Attacks Using Min-max Optimization. - Jiacheng Guo; Lei Li; Haochen Yang; Baocheng Geng; Hongkai Yu; Minghai Qin; Tianyun Zhang (ICASSP, 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)

A unified DNN weight compression framework using reweighted optimization methods. - Mengchen Fan; Tianyun Zhang; Xiaolong Ma; Jiacheng Guo; Zheng Zhan 001; Shanglin Zhou; Minghai Qin; Caiwen Ding; Baocheng Geng; Makan Fardad; Yanzhi Wang (Intell. Syst. Appl., 2025)

MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations. - Kaixuan Huang; Jiacheng Guo; Zihao Li; Xiang Ji; Jiawei Ge 003; Wenzhe Li; Yingqing Guo; Tianle Cai; Hui Yuan 002; Runzhe Wang; Yue Wu; Ming Yin; et al. (CoRR, 2025)

Temporal Consistency for LLM Reasoning Process Error Identification. - Jiacheng Guo; Yue Wu; Jiahao Qiu; Kaixuan Huang; Xinzhe Juan; Ling Yang; Mengdi Wang (CoRR, 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; et al. (CoRR, 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; et al. (CoRR, 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 003; Shilong Liu; Xun Jiang; et al. (CoRR, 2025)

FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction. - Zhiyuan Zeng 004; Jiashuo Liu; Siyuan Chen; Tianci He; Yali Liao; Jinpeng Wang; Zaiyuan Wang; Yang Yang; Lingyue Yin; Mingren Yin; Zhenwei Zhu; Tianle Cai; et al. (CoRR, 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, 2025)