Lei Wang
185 papers · 2008–2026 · 20 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 56 separate collaboration groups - the largest holds only 34% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Lei Wang?
18 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Ee-Peng Lim, Jipeng Zhang, Xing Xu
29 papers
· 2018–2026
· EMNLP, ACL, AAAI
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BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook
ACL 2026
BitNet: 1-bit Pre-training for Large Language Models
JMLR 2025
From Observation to Understanding: Front-Door Adjustments with Uncertainty Calibration for Enhancing Egocentric Reasoning in LVLMs
ACL 2025
PipeThreader: Software-Defined Pipelining for Efficient DNN Execution
OSDI 2025
In-context Autoencoder for Context Compression in a Large Language Model
ICLR 2024
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay
EMNLP 2024
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation
OSDI 2024
NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models
ACL 2024
T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering
AAAI 2024
The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation
NAACL 2024
Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models
AAAI 2023
Generalizing Math Word Problem Solvers via Solution Diversification
AAAI 2023
ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction
ICCV 2023
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
EMNLP 2023
LLM4Vis: Explainable Visualization Recommendation using ChatGPT
EMNLP 2023
Non-Autoregressive Math Word Problem Solver with Unified Tree Structure
EMNLP 2023
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
ACL 2023
Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation
EMNLP 2023
R3 Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context
EMNLP 2023
Domain Generalization by Learning and Removing Domain-specific Features
NeurIPS 2022
Investigating Math Word Problems using Pretrained Multilingual Language Models
EMNLP 2022
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving
NAACL 2022
MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers
AAAI 2022
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset
EMNLP 2021
Graph-to-Tree Learning for Solving Math Word Problems
ACL 2020
Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem
IJCAI 2020
Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions
ACL 2019
Template-Based Math Word Problem Solvers with Recursive Neural Networks
AAAI 2019
Translating a Math Word Problem to a Expression Tree
EMNLP 2018
38 papers whose co-authors appear nowhere else under this name
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
AAAI 2026
Beyond Tokens: Dynamic Latent Reasoning via Semantic Residual Refinement
AAAI 2026
CometNet: Contextual Motif-guided Long-term Time Series Forecasting
AAAI 2026
Dual-Channel Learning Framework for Zero-Shot CircRNA-miRNA Interaction Prediction via State Space Modeling
AAAI 2026
Enhancing All-to-X Backdoor Attacks with Optimized Target Class Mapping
AAAI 2026
PersonaTrace: Synthesizing Realistic Digital Footprints with LLM Agents
EACL 2026
TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding
AAAI 2026
A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds
JMLR 2025
Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics
IJCAI 2025
Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning
CVPR 2025
DiaLLMs: EHR-Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction
ACL 2025
Optimal subsampling for high-dimensional partially linear models via machine learning methods
JMLR 2025
QDTSynth: Quality-Driven Formal Theorem Synthesis for Enhancing Proving Performance of LLMs
ACL 2025
ThinK: Thinner Key Cache by Query-Driven Pruning
ICLR 2025
UnrealLLM: Towards Highly Controllable and Interactable 3D Scene Generation by LLM-powered Procedural Content Generation
ACL 2025
Counterfacual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes
ACML 2024
Elegantly Written: Disentangling Writer and Character Styles for Enhancing Online Chinese Handwriting
ECCV 2024
Enhanced Face Recognition using Intra-class Incoherence Constraint
ICLR 2024
S2WAT: Image Style Transfer via Hierarchical Vision Transformer Using Strips Window Attention
AAAI 2024
View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network
CVPR 2024
DoubleDeceiver: Deceiving the Speaker Verification System Protected by Spoofing Countermeasures
Interspeech 2023
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction
EMNLP 2023
Hierarchical Spatio-Temporal Representation Learning for Gait Recognition
ICCV 2023
High-Level Semantic Feature Matters Few-Shot Unsupervised Domain Adaptation
AAAI 2023
Regularized Primitive Graph Learning for Unified Vector Mapping
ICCV 2023
A Speaker-Aware Co-Attention Framework for Medical Dialogue Information Extraction
EMNLP 2022
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models
EMNLP 2022
Distributed Online Convex Optimization with Compressed Communication
NeurIPS 2022
StyTr2: Image Style Transfer With Transformers
CVPR 2022
Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification
CVPR 2021
Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection
IJCAI 2020
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study
MIDL 2020
The Phonology and Phonetics of Kaifeng Mandarin Vowels
Interspeech 2020
Graph Attention Convolution for Point Cloud Semantic Segmentation
CVPR 2019
Evaluating Brush Movements for Chinese Calligraphy: A Computer Vision Based Approach
IJCAI 2018
Wuxi Speakers’ Production and Perception of Coda Nasals in Mandarin
Interspeech 2018
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question
NeurIPS 2015
Learning Valuation Functions
COLT 2012