Xiaoming Shi
25 papers · 2020–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (58) π Academic Marathon Β· Sprint 𧬠Topic Evolution
ποΈ
Keyword Collector
(122)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Prolific
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(18)
Core AI
(17)
Machine Learning
(13)
Natural Language Processing
(11)
Deep Learning
(9)
Learning Types Β· Machine Learning
(8)
Core Methods
(5)
Generation
(5)
Optimization & Theory
(5)
Applications
(4)
Learning Types Β· Deep Learning
(4)
Resources & Methods
(4)
Healthcare & Medicine
(3)
Architectures
(3)
Clinical
(3)
Keywords
large language model
(11)
time series forecasting
(4)
event sequence
(4)
mixed-type dialogue
(3)
temporal point process
(3)
multimodal learning
(2)
attention mechanism
(2)
foundation model
(2)
dialogue system
(2)
supervised fine-tuning
(2)
explanation generation
(2)
benchmark evaluation
(2)
few-shot learning
(2)
dialogue generation
(2)
representation learning
(2)
question answering
(1)
data augmentation
(1)
sequence modeling
(1)
self-supervised learning
(1)
code generation
(1)
Papers
A Survey of Inductive Reasoning for Large Language Models
ACL 2026
Coherency Improved Explainable Recommendation via Large Language Model
AAAI 2025
Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
ACL 2025
KwaiChat: A Large-Scale Video-Driven Multilingual Mixed-Type Dialogue Corpus
NAACL 2025
LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios
ACL 2025
Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling
ACL 2025
RepoDebug: Repository-Level Multi-Task and Multi-Language Debugging Evaluation of Large Language Models
EMNLP 2025
STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling
AAAI 2025
Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring
NAACL 2025
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
ICLR 2025
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
ICLR 2025
EasyTPP: Towards Open Benchmarking Temporal Point Processes
ICLR 2024
Enhancing Textbook Question Answering with Knowledge Graph-Augmented Large Language Models
ACML 2024
Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges
ACL 2024
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
ICLR 2024
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
ICLR 2024
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes
AAAI 2023
Full Scaling Automation for Sustainable Development of Green Data Centers
IJCAI 2023
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning
NeurIPS 2023
Learning Semantic Alignment with Global Modality Reconstruction for Video-Language Pre-training towards Retrieval
AAAI 2023
MidMed: Towards Mixed-Type Dialogues for Medical Consultation
ACL 2023
Prompt-augmented Temporal Point Process for Streaming Event Sequence
NeurIPS 2023
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
NeurIPS 2022
A Three-step Method for Multi-Hop Inference Explanation Regeneration
NAACL 2021
Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses
AAAI 2020