He, Qiang

15 publications

AAAI 2025 DiffGrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model Yonghao Zhang, Qiang He, Yanguang Wan, Yinda Zhang, Xiaoming Deng, Cuixia Ma, Hongan Wang

AAAI 2025 HHAN: Comprehensive Infectious Disease Source Tracing via Heterogeneous Hypergraph Neural Network Qiang He, Yunting Bao, Hui Fang, Yuting Lin, Hao Sun

ICML 2025 Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning Lianbo Ma, Jianlun Ma, Yuee Zhou, Guoyang Xie, Qiang He, Zhichao Lu

ECML-PKDD 2025 Pareto Multi-Objective Alignment for Language Models Qiang He, Setareh Maghsudi

NeurIPS 2025 Sim-LLM: Optimizing LLM Inference at the Edge Through Inter-Task KV Reuse Ruikun Luo, Changwei Gu, Qiang He, Feifei Chen, Song Wu, Hai Jin, Yun Yang

ICLR 2024 Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi

ICML 2024 Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment Chen Zhang, Qiang He, Yuan Zhou, Elvis S. Liu, Hong Wang, Jian Zhao, Yang Wang

ICLR 2024 Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning Yucheng Yang, Tianyi Zhou, Qiang He, Lei Han, Mykola Pechenizkiy, Meng Fang

NeurIPS 2023 Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks Xin Yan, Hui Fang, Qiang He

ECML-PKDD 2023 Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi

CVPR 2023 Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou

NeurIPS 2023 Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control Chao Li, Chen Gong, Qiang He, Xinwen Hou

ICMLW 2022 MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning Qiang He, Huangyuan Su, Chen Gong, Xinwen Hou

ICMLW 2022 Representation Gap in Deep Reinforcement Learning Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou

IJCAI 2018 A Fast Algorithm for Optimally Finding Partially Disjoint Shortest Paths Longkun Guo, Yunyun Deng, Kewen Liao, Qiang He, Timos Sellis, Zheshan Hu