xishan zhang
21 papers · 2017–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (4)
π
Cross-Pollinator
(4)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(50)
π
Grand Slam
π€
Dynamic Duo
(17)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(100)
π
Century Club
(19)
π₯
Unstoppable
(6)
β‘
Prolific Year
(5)
Conferences
NIPS (7)
AAAI (5)
CVPR (3)
IJCAI (2)
ACL (1)
ECCV (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
reinforcement learning
(3)
neural network
(3)
knowledge distillation
(2)
emergent communication
(2)
transfer learning
(2)
model compression
(2)
text generation
(2)
large language model
(2)
multi-agent system
(2)
feature learning
(2)
neural network optimization
(2)
policy gradient
(1)
domain adaptation
(1)
hierarchical planning
(1)
contrastive learning
(1)
causal inference
(1)
few-shot learning
(1)
video captioning
(1)
representation learning
(1)
mathematical reasoning
(1)
Papers
StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs Through Knowledge-Reasoning Fusion
AAAI 2026
Efficient Diffusion Planning with Temporal Diffusion
AAAI 2026
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
AAAI 2025
Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding
ACL 2024
Emergent Communication for Numerical Concepts Generalization
AAAI 2024
RecurrentBEV: A Long-term Temporal Fusion Framework for Multi-view 3D Detection
ECCV 2024
Automated CPU Design by Learning from Input-Output Examples
IJCAI 2024
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression
NIPS 2023
Online Prototype Alignment for Few-shot Policy Transfer
ICML 2023
Non-autoregressive Machine Translation with Probabilistic Context-free Grammar
NIPS 2023
Emergent Communication for Rules Reasoning
NIPS 2023
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning
NIPS 2023
Object-Category Aware Reinforcement Learning
NIPS 2022
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning
NIPS 2022
Neural Program Synthesis with Query
ICLR 2022
Distilling Object Detectors with Feature Richness
NIPS 2021
Domain-Specific Suppression for Adaptive Object Detection
CVPR 2021
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment
IJCAI 2021
Fixed-Point Back-Propagation Training
CVPR 2020
DWM: A Decomposable Winograd Method for Convolution Acceleration
AAAI 2020
Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description
CVPR 2017