Debing Zhang
19 papers · 2013–2026 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(89)
π
Trend Setter
π
Century Club Β· Bronze
β
The Questioner
π
Conference Pioneer
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(7)
Core AI
(7)
Optimization & Theory
(7)
Deep Learning
(6)
Natural Language Processing
(5)
Application Areas
(4)
Learning Types Β· Deep Learning
(4)
Learning Types Β· Machine Learning
(4)
Models
(4)
Resources & Methods
(4)
Reinforcement Learning
(3)
Computer Vision
(2)
Methods
(2)
Processing
(2)
Keywords
language model
(3)
large language model
(3)
long-context training
(2)
model evaluation
(2)
unsupervised learning
(2)
reward model
(2)
attention mechanism
(1)
preference learning
(1)
reinforcement learning
(1)
chain-of-thought reasoning
(1)
text generation
(1)
depth estimation
(1)
image synthesis
(1)
policy learning
(1)
policy optimization
(1)
model alignment
(1)
iterative refinement
(1)
data augmentation
(1)
optimization
(1)
implicit representation
(1)
Papers
LiteLong: Resource-Efficient Long-Context Data Synthesis for LLMs
AAAI 2026
Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge
AAAI 2026
Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch
ACL 2025
Critic-CoT: Boosting the Reasoning Abilities of Large Language Model via Chain-of-Thought Critic
ACL 2025
David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training
ICML 2025
NExtLong: Toward Effective Long-Context Training without Long Documents
ICML 2025
On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation
ACL 2025
Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?
ICLR 2025
The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models
ICML 2025
Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models
ACL 2025
SedarEval: Automated Evaluation using Self-Adaptive Rubrics
EMNLP 2024
SLR: Learning Quadruped Locomotion without Privileged Information
CoRL 2024
MPI-Flow: Learning Realistic Optical Flow with Multiplane Images
ICCV 2023
One-shot Implicit Animatable Avatars with Model-based Priors
ICCV 2023
Hyperspectral Image Super-Resolution With Optimized RGB Guidance
CVPR 2019
Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery
ECCV 2018
Active Learning via Neighborhood Reconstruction
IJCAI 2013
A Unified Approximate Nearest Neighbor Search Scheme by Combining Data Structure and Hashing
IJCAI 2013
Complementary Projection Hashing
ICCV 2013