Jing Tang
31 papers · 2016–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (11) π Cross-Pollinator (13)
π
Renaissance Researcher
(11)
πΊοΈ
Taxonomy Completionist
(63)
π
Interdisciplinary Bridge
π
Grand Slam
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(136)
π₯
Unstoppable
(5)
π
Century Club
(31)
β
The Questioner
(3)
Conferences
ICLR (5)
NIPS (5)
EMNLP (4)
ACL (3)
ICCV (3)
ICML (3)
IJCAI (3)
AAAI (2)
CONLL (1)
ECCV (1)
NAACL (1)
Top co-authors
Keywords
multi-armed bandit
(3)
approximation algorithm
(3)
large language model
(3)
sharpness-aware minimization
(2)
neural network
(2)
few-shot learning
(2)
node classification
(2)
best arm identification
(2)
knowledge distillation
(2)
diffusion distillation
(2)
model compression
(2)
graph neural network
(2)
sample complexity
(2)
entity replacement
(2)
batch complexity
(2)
combinatorial optimization
(2)
relation extraction
(2)
text-to-image synthesis
(1)
attention mechanism
(1)
model robustness
(1)
Papers
MES-RAG: Bringing Multi-modal, Entity-Storage, and Secure Enhancements to RAG
NAACL 2025
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs
ACL 2025
How to Make Large Language Models Generate 100% Valid Molecules?
EMNLP 2025
Understanding GUI Agent Localization Biases through Logit Sharpness
EMNLP 2025
FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models
ICCV 2025
Learning Few-Step Diffusion Models by Trajectory Distribution Matching
ICCV 2025
Adding Additional Control to One-Step Diffusion with Joint Distribution Matching
ICCV 2025
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
ICLR 2025
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
ICLR 2025
OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling
ICLR 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
ICLR 2025
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
NIPS 2024
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning
ICLR 2024
Proving Theorems Recursively
NIPS 2024
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations
EMNLP 2024
Energy-Clibrated VAE with Test Time Free Lunch
ECCV 2024
Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization
AAAI 2024
Optimal Batched Best Arm Identification
NIPS 2024
How Fragile is Relation Extraction under Entity Replacements?
CONLL 2023
How Fragile is Relation Extraction under Entity Replacements?
EMNLP 2023
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
IJCAI 2023
Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity
AAAI 2023
Chromatic Correlation Clustering, Revisited
NIPS 2022
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits
ICML 2021
Optimal Streaming Algorithms for Multi-Armed Bandits
ICML 2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
NIPS 2021
Randomized Algorithms for Submodular Function Maximization with a $k$-System Constraint
ICML 2021
NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
ACL 2019
A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss
ACL 2018
A Group-based Approach to Improve Multifactorial Evolutionary Algorithm
IJCAI 2018
Approximating Value Equivalence in Interactive Dynamic Influence Diagrams Using Behavioral Coverage
IJCAI 2016