Zhu, He

28 publications

ICLR 2026 A$^2$FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning Qianben Chen, Jingyi Cao, Jiayu Zhang, Tianrui Qin, LiXiaowan, King Zhu, Dingfeng Shi, He Zhu, Minghao Liu, Xiaobo Liang, Ge Zhang, Jian Yang, Yuchen Eleanor Jiang, Wangchunshu Zhou

ICLR 2026 ACADREASON: Exploring the Limits of Reasoning Models with Academic Research Problems Xin Gui, King Zhu, JinCheng Ren, Qianben Chen, Zekun Moore Wang, Yizhi Li, Xinpeng Liu, Ren Wenli, Linyu Miao, Tianrui Qin, Ziqi Shu, He Zhu, Dingfeng Shi, Jiaheng Liu, Yuchen Eleanor Jiang, Minghao Liu, Ge Zhang, Wangchunshu Zhou

ICLR 2026 Anchored Supervised Fine-Tuning He Zhu, Junyou Su, Peng Lai, Ren Ma, Wenjia Zhang, Linyi Yang, Guanhua Chen

ICLR 2026 Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution Tianrui Qin, Qianben Chen, Sinuo Wang, He Xing, King Zhu, He Zhu, Dingfeng Shi, Xinxin Liu, Ge Zhang, Jiaheng Liu, Xitong Gao, Yuchen Eleanor Jiang, Wangchunshu Zhou

ICLR 2026 OmniEVA: Embodied Versatile Planner via Task-Adaptive 3D-Grounded and Embodiment-Aware Reasoning Yuecheng Liu, DaFeng Chi, Shiguang Wu, Zhanguang Zhang, Yuzheng Zhuang, Bowen Yang, He Zhu, Lingfeng Zhang, Pengwei Xie, David Gamaliel Arcos Bravo, Yingxue Zhang, Jianye Hao, Xingyue Quan

ICLR 2026 Preference-Based Policy Optimization from Sparse-Reward Offline Dataset Wenjie Qiu, Guofeng Cui, Shicheng Liu, Yuanlin Duan, He Zhu

ICLR 2026 Towards Personalized Deep Research: Benchmarks and Evaluations Yuan Liang, Jiaxian Li, Yuqing Wang, Wang Piaohong, Motong Tian, Pai Liu, Shuofei Qiao, Runnan Fang, He Zhu, Ge Zhang, Minghao Liu, Yuchen Eleanor Jiang, Ningyu Zhang, Wangchunshu Zhou

AAAI 2025 FastLGS: Speeding up Language Embedded Gaussians with Feature Grid Mapping Yuzhou Ji, He Zhu, Junshu Tang, Wuyi Liu, Zhizhong Zhang, Xin Tan, Yuan Xie

CVPR 2025 Grounding 3D Object Affordance with Language Instructions, Visual Observations and Interactions He Zhu, Quyu Kong, Kechun Xu, Xunlong Xia, Bing Deng, Jieping Ye, Rong Xiong, Yue Wang

NeurIPS 2025 Imitation Learning with Temporal Logic Constraints Zining Fan, He Zhu

NeurIPS 2025 Learning from Demonstrations via Capability-Aware Goal Sampling Yuanlin Duan, Yuning Wang, Wenjie Qiu, He Zhu

CVPR 2025 Multi-View Reconstruction via SfM-Guided Monocular Depth Estimation Haoyu Guo, He Zhu, Sida Peng, Haotong Lin, Yunzhi Yan, Tao Xie, Wenguan Wang, Xiaowei Zhou, Hujun Bao

NeurIPS 2025 Redundancy-Aware Test-Time Graph Out-of-Distribution Detection Yue Hou, He Zhu, Ruomei Liu, Yingke Su, Junran Wu, Ke Xu

AAAI 2025 Structural Entropy Guided Unsupervised Graph Out-of-Distribution Detection Yue Hou, He Zhu, Ruomei Liu, Yingke Su, Jinxiang Xia, Junran Wu, Ke Xu

MLHC 2024 Bidirectional Generative Pre-Training for Improving Healthcare Time-Series Representation Learning Ziyang Song, Qincheng Lu, He Zhu, David L. Buckeridge, Yue Li

NeurIPS 2024 Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning Yuanlin Duan, Guofeng Cui, He Zhu

NeurIPS 2024 Learning World Models for Unconstrained Goal Navigation Yuanlin Duan, Wensen Mao, He Zhu

ECCV 2024 SAM-Guided Graph Cut for 3D Instance Segmentation Haoyu Guo, He Zhu, Sida Peng, Yuang Wang, Yujun Shen, Ruizhen Hu, Xiaowei Zhou

NeurIPSW 2024 TrajGPT: Healthcare Time-Series Representation Learning for Trajectory Prediction Ziyang Song, Qincheng Lu, He Zhu, David L. Buckeridge, Yue Li

NeurIPS 2023 Instructing Goal-Conditioned Reinforcement Learning Agents with Temporal Logic Objectives Wenjie Qiu, Wensen Mao, He Zhu

ECML-PKDD 2022 Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan

ICLR 2022 Programmatic Reinforcement Learning Without Oracles Wenjie Qiu, He Zhu

CVPRW 2022 Stargazer: A Transformer-Based Driver Action Detection System for Intelligent Transportation Junwei Liang, He Zhu, Enwei Zhang, Jun Zhang

NeurIPS 2021 Differentiable Synthesis of Program Architectures Guofeng Cui, He Zhu

AAAI 2020 Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms Xitong Zhang, He Zhu, Jiayu Zhou

AAAI 2020 Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract) Xitong Zhang, He Zhu, Jiayu Zhou

ECCV 2016 Scene Text Detection with Adaptive Line Clustering Xinxu Qiao, He Zhu, Weiping Li

ECCVW 2016 Scene Text Detection with Adaptive Line Clustering Xinxu Qiao, He Zhu, Weiping Li