← Authors

Zhan Shi

29 papers · 2017–2025 · 12 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) πŸƒ Academic Marathon (8) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13) πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (139) πŸš€ Conference Pioneer πŸ’Ž Century Club (29) πŸ”₯ Unstoppable (9) ⚑ 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

Xiaodan Zhu (8) Xinhua Zhang (6) Hui LIU (5) Zhijiang Guo (3) Xipeng Qiu (3) Chunlin Tian (2) Cheng-Zhong Xu (2) Li Li (2) Dhaivat Bhatt (2) Yaoliang Yu (2)

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