Xu He
19 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐣 Hot Topic Early Bird
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Cross-Pollinator
(11)
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(7)
🏆
Grand Slam
🗃️
Keyword Collector
(93)
🚀
Conference Pioneer
💎
Century Club
(16)
⚡
Prolific Year
(8)
Conferences
AAAI (5)
CVPR (2)
ICLR (2)
ICML (2)
NIPS (2)
ACL (1)
IJCAI (1)
JMLR (1)
NAACL (1)
SEMEVAL (1)
UAI (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(2)
data augmentation
(2)
large language model
(2)
video generation
(2)
transformer architecture
(2)
numerical understanding
(2)
diffusion model
(2)
multi-agent reinforcement learning
(2)
information bottleneck
(1)
transfer learning
(1)
compressed sensing
(1)
entropy minimization
(1)
approximate inference
(1)
policy gradient
(1)
masked language model
(1)
autoregressive transformer
(1)
text generation
(1)
few-shot learning
(1)
video prediction
(1)
off-policy evaluation
(1)
Papers
A Content-Preserving Secure Linguistic Steganography
AAAI 2026
Human-Centric Video Generation via Collaborative Multi-Modal Conditioning
AAAI 2026
Turning Failures into Value: Negative Experience Replay for RLVR via Confidence Gating and Boundary Failure Sampling
ACL 2026
Forgetting Transformer: Softmax Attention with a Forget Gate
ICLR 2025
Trajectory World Models for Heterogeneous Environments
ICML 2025
MagicMan: Generative Novel View Synthesis of Humans with 3D-Aware Diffusion and Iterative Refinement
AAAI 2025
A Statistical Experimental Design Method for Constructing Deterministic Sensing Matrices for Compressed Sensing
JMLR 2024
CTYUN-AI at SemEval-2024 Task 7: Boosting Numerical Understanding with Limited Data Through Effective Data Alignment
SEMEVAL 2024
CTYUN-AI at SemEval-2024 Task 7: Boosting Numerical Understanding with Limited Data Through Effective Data Alignment
NAACL 2024
iVideoGPT: Interactive VideoGPTs are Scalable World Models
NIPS 2024
Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds
AAAI 2024
Improving Unsupervised Hierarchical Representation with Reinforcement Learning
CVPR 2024
Co-Speech Gesture Video Generation via Motion-Decoupled Diffusion Model
CVPR 2024
PoRank: A Practical Framework for Learning to Rank Policies
IJCAI 2024
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
NIPS 2021
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction
AAAI 2021
Learning Behaviors with Uncertain Human Feedback
UAI 2020
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
ICML 2020
Overcoming Catastrophic Interference using Conceptor-Aided Backpropagation
ICLR 2018