Zeng, Jia

18 publications

ICLR 2026 SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning Haozhan Li, Yuxin Zuo, Jiale Yu, Yuhao Zhang, Yang Zhaohui, Kaiyan Zhang, Xuekai Zhu, Yuchen Zhang, Tianxing Chen, Ganqu Cui, Dehui Wang, Dingxiang Luo, Yuchen Fan, Youbang Sun, Jia Zeng, Jiangmiao Pang, Shanghang Zhang, Yu Wang, Yao Mu, Bowen Zhou, Ning Ding

ICLR 2026 X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model Jinliang Zheng, Jianxiong Li, Zhihao Wang, Dongxiu Liu, Xirui Kang, Yuchun Feng, Yinan Zheng, Jiayin Zou, Yilun Chen, Jia Zeng, Tai Wang, Ya-Qin Zhang, Jingjing Liu, Xianyuan Zhan

IJCAI 2025 A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions Ziyang Xiao, Jingrong Xie, Lilin Xu, Shisi Guan, Jingyan Zhu, Xiongwei Han, Xiaojin Fu, WingYin Yu, Han Wu, Wei Shi, Qingcan Kang, Jiahui Duan, Tao Zhong, Mingxuan Yuan, Jia Zeng, Yuan Wang, Gang Chen, Dongxiang Zhang

ICLR 2025 Predictive Inverse Dynamics Models Are Scalable Learners for Robotic Manipulation Yang Tian, Sizhe Yang, Jia Zeng, Ping Wang, Dahua Lin, Hao Dong, Jiangmiao Pang

AAAI 2025 WST: Wavelet-Based Multi-Scale Tuning for Visual Transfer Learning Jia Zeng, Lan Huang, Kangping Wang

ICLR 2024 Chain-of-Experts: When LLMs Meet Complex Operations Research Problems Ziyang Xiao, Dongxiang Zhang, Yangjun Wu, Lilin Xu, Yuan Jessica Wang, Xiongwei Han, Xiaojin Fu, Tao Zhong, Jia Zeng, Mingli Song, Gang Chen

NeurIPS 2024 Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation Qingwen Bu, Jia Zeng, Li Chen, Yanchao Yang, Guyue Zhou, Junchi Yan, Ping Luo, Heming Cui, Yi Ma, Hongyang Li

ECCV 2024 Embodied Understanding of Driving Scenarios Yunsong Zhou, Linyan Huang, Qingwen Bu, Jia Zeng, Tianyu Li, Hang Qiu, Hongzi Zhu, Minyi Guo, Yu Qiao, Hongyang Li

ECCV 2024 Fully Sparse 3D Occupancy Prediction Haisong Liu, Yang Chen, Haiguang Wang, Zetong Yang, Tianyu Li, Jia Zeng, Li Chen, Hongyang Li, Limin Wang

CVPR 2024 Generalized Predictive Model for Autonomous Driving Jiazhi Yang, Shenyuan Gao, Yihang Qiu, Li Chen, Tianyu Li, Bo Dai, Kashyap Chitta, Penghao Wu, Jia Zeng, Ping Luo, Jun Zhang, Andreas Geiger, Yu Qiao, Hongyang Li

ICLR 2024 L2P-MIP: Learning to Presolve for Mixed Integer Programming Chang Liu, Zhichen Dong, Haobo Ma, Weilin Luo, Xijun Li, Bowen Pang, Jia Zeng, Junchi Yan

ICLR 2024 Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu

CVPR 2023 Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection Jia Zeng, Li Chen, Hanming Deng, Lewei Lu, Junchi Yan, Yu Qiao, Hongyang Li

ICLR 2023 Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu

ICLR 2023 ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan

CoRL 2022 Towards Capturing the Temporal Dynamics for Trajectory Prediction: A Coarse-to-Fine Approach Xiaosong Jia, Li Chen, Penghao Wu, Jia Zeng, Junchi Yan, Hongyang Li, Yu Qiao

AAAI 2020 Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng

MLOSS 2012 A Topic Modeling Toolbox Using Belief Propagation Jia Zeng