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Qiang He

16 papers · 2018–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+4 more ↓ 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (37) πŸƒ Academic Marathon Β· Sprint πŸ† Grand Slam
πŸ—ƒοΈ Keyword Collector (87) ⚑ Prolific Year Β· Productive 🌈 Renaissance Researcher (9) πŸ’Ž Century Club Β· Bronze

Venues

AAAI (4) CVPR (4) ICLR (2) ICML (2) NeurIPS (2) ACL (1) IJCAI (1)

Top co-authors

Feifei Chen (3) Yun Yang (3) Tianyi Zhou (2) Lianbo Ma (2) Hui Fang (2) Xiaoming Deng (2) Cuixia Ma (2) Hai Jin (2) Meng Fang (2) Hongan Wang (2)

Research topics

Artificial Intelligence (8) Machine Learning (8) Core AI (8) Deep Learning (7) Reinforcement Learning (4) Optimization & Theory (4) Computer Vision (3) Architectures (3) Methods (3) Mathematics & Optimization (2) Analysis (2) Application Areas (2) Applications (2) Learning Types (2) Mathematics (2)

Keywords

deep reinforcement learning (3) vision transformer (3) graph neural network (2) model compression (2) diffusion model (2) large language model (2) sample efficiency (1) policy gradient (1) reinforcement learning (1) source localization (1) information bottleneck (1) motion synthesis (1) mathematical reasoning (1) attention mechanism (1) representation learning (1) sharpness-aware minimization (1) human-object interaction (1) network pruning (1) disease surveillance (1) question answering (1)

Papers

Diagram2Structure: Unlocking LLMs' Diagram Comprehension through DiagramDiff, a Framework for Structuring Offline Diagrams CVPR 2026 EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation AAAI 2026 LoPrune: Efficient Data Pruning for LoRA-Based Fine-Tuning of Vision Transformer CVPR 2026 NuWa: Deriving Lightweight Class-Specific Vision Transformers for Edge Devices CVPR 2026 Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning ACL 2026 Understanding and Enhancing Differentiable Architecture Search from Information Bottleneck Perspective AAAI 2026 DiffGrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model AAAI 2025 HHAN: Comprehensive Infectious Disease Source Tracing via Heterogeneous Hypergraph Neural Network AAAI 2025 Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning ICML 2025 Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation ICLR 2024 Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment ICML 2024 Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning ICLR 2024 Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks NeurIPS 2023 Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning CVPR 2023 Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control NeurIPS 2023 A Fast Algorithm for Optimally Finding Partially Disjoint Shortest Paths IJCAI 2018