Zhan Shi
29 papers · 2017–2025 · 12 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π£ Hot Topic Early Bird
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Renaissance Researcher
(6)
π
Grand Slam
ποΈ
Keyword Collector
(139)
π
Conference Pioneer
π
Century Club
(29)
π₯
Unstoppable
(9)
β‘
Prolific Year
(6)
Conferences
EMNLP (5)
ICML (5)
NIPS (5)
ACL (4)
AAAI (2)
IJCAI (2)
AISTATS (1)
CONLL (1)
ICCV (1)
ICLR (1)
IJCNLP (1)
MICCAI (1)
Top co-authors
Keywords
image captioning
(4)
adversarial learning
(3)
large language model
(2)
bregman divergence
(2)
language model
(2)
kernel methods
(2)
multimodal learning
(2)
transfer learning
(2)
abstract meaning representation
(2)
scene graph
(2)
multi-task learning
(2)
contrastive learning
(2)
structured representation
(2)
chain of thought
(2)
benchmark evaluation
(2)
reinforcement learning
(2)
knowledge graph
(2)
natural language inference
(2)
multi-modal learning
(2)
graph neural network
(2)
Papers
CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
EMNLP 2025
Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification
MICCAI 2024
Ranking-based Client Imitation Selection for Efficient Federated Learning
ICML 2024
MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs
NIPS 2024
ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models
ACL 2024
DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph
AAAI 2024
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
NIPS 2024
Aperture Diffraction for Compact Snapshot Spectral Imaging
ICCV 2023
OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding
EMNLP 2023
Poisoning Generative Replay in Continual Learning to Promote Forgetting
ICML 2023
Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning
NIPS 2023
Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks
AISTATS 2022
Visual Semantic Parsing: From Images to Abstract Meaning Representation
CONLL 2022
Visual Semantic Parsing: From Images to Abstract Meaning Representation
EMNLP 2022
Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations
AAAI 2022
Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning
EMNLP 2021
Enhancing Descriptive Image Captioning with Natural Language Inference
ACL 2021
Unsupervised Conversation Disentanglement through Co-Training
EMNLP 2021
Generalised Lipschitz Regularisation Equals Distributional Robustness
ICML 2021
Enhancing Descriptive Image Captioning with Natural Language Inference
IJCNLP 2021
End-to-End Transition-Based Online Dialogue Disentanglement
IJCAI 2020
Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks
NIPS 2020
Improving Image Captioning with Better Use of Caption
ACL 2020
LEARNING EXECUTION THROUGH NEURAL CODE FUSION
ICLR 2020
Monge blunts Bayes: Hardness Results for Adversarial Training
ICML 2019
Inductive Two-Layer Modeling with Parametric Bregman Transfer
ICML 2018
Toward Diverse Text Generation with Inverse Reinforcement Learning
IJCAI 2018
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction
NIPS 2017
Adversarial Multi-Criteria Learning for Chinese Word Segmentation
ACL 2017