Qiang He
13 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer π Conference Polyglot (6) π Academic Marathon (7)
π
Renaissance Researcher
(10)
π
Interdisciplinary Bridge
π
Grand Slam
π
Century Club
(10)
Conferences
AAAI (4)
ICLR (2)
ICML (2)
NIPS (2)
ACL (1)
CVPR (1)
IJCAI (1)
Top co-authors
Keywords
graph neural network
(2)
diffusion model
(2)
deep reinforcement learning
(2)
policy evaluation
(1)
human-object interaction
(1)
information bottleneck
(1)
vision transformer
(1)
motion synthesis
(1)
mathematical reasoning
(1)
attention mechanism
(1)
value function approximation
(1)
disease surveillance
(1)
early exit
(1)
human motion synthesis
(1)
continuous control
(1)
source localization
(1)
markov chain
(1)
network optimization
(1)
information diffusion
(1)
representation learning
(1)
Papers
EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation
AAAI 2026
Understanding and Enhancing Differentiable Architecture Search from Information Bottleneck Perspective
AAAI 2026
Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning
ACL 2026
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
DiffGrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model
AAAI 2025
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation
ICLR 2024
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
ICLR 2024
Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment
ICML 2024
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control
NIPS 2023
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning
CVPR 2023
Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks
NIPS 2023
A Fast Algorithm for Optimally Finding Partially Disjoint Shortest Paths
IJCAI 2018