Peng Xu
100 papers · 2002–2026 · 18 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (18) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (14) π Interdisciplinary Bridge π Academic Marathon (23)
π
Cross-Pollinator
(9)
π
Interdisciplinary Bridge
π
Academic Marathon
(23)
π
The Namer
π€
Dynamic Duo
(21)
π
Triple Crown
π
Keyword Champion
π
Grand Slam
π₯
Mega-Team
(55)
π¬
Deep Specialist
(12)
π§¬
Topic Evolution
β
The Questioner
(3)
π
Conference Pioneer
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(360)
π
Century Club
(97)
π
Trend Setter
π₯
Unstoppable
(8)
Conferences
EMNLP (18)
ACL (14)
CORL (9)
IJCNLP (8)
NIPS (7)
ICLR (7)
AAAI (6)
ICML (6)
NAACL (5)
ICCV (4)
CVPR (4)
RSS (3)
CONLL (2)
AISTATS (2)
SEMEVAL (2)
EACL (1)
INTERSPEECH (1)
ACML (1)
Top co-authors
Keywords
text generation
(7)
large language model
(7)
cross-lingual transfer
(7)
language model
(7)
dialogue system
(6)
slot filling
(6)
domain adaptation
(6)
semantic parsing
(6)
question answering
(6)
neural network
(5)
zero-shot learning
(5)
attention mechanism
(5)
intent detection
(5)
transfer learning
(5)
representation learning
(5)
multi-task learning
(5)
natural language generation
(4)
graph neural network
(4)
reinforcement learning
(4)
retrieval-augmented generation
(3)
Papers
KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits
AAAI 2026
MemCoRL: Alternating Co-Optimization of Memory Retrieval and Utilization via Collaborative Reinforcement Learning
ACL 2026
SDNet: LiDAR Semantic Scene Completion with Sparse-Dense Fusion and Input-Aware Label Refinement
AAAI 2026
From Feedback to Checklists: Grounded Evaluation of AI-Generated Clinical Notes
EMNLP 2025
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities
ICLR 2025
ArchiDocGen: Multi-Agent Framework for Expository Document Generation in the Architectural Industry
ACL 2025
CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection
ICCV 2025
AdsQA: Towards Advertisement Video Understanding
ICCV 2025
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
ACL 2025
SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection
AAAI 2025
Vision Language Models are In-Context Value Learners
ICLR 2025
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
CORL 2024
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs
CORL 2024
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models
AAAI 2024
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
RSS 2024
MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
ICML 2024
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion
CVPR 2024
Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching
CVPR 2024
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
ICML 2024
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
ICML 2024
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
ICLR 2024
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation
ICLR 2024
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
ICLR 2024
Retrieval meets Long Context Large Language Models
ICLR 2024
ChatQA: Surpassing GPT-4 on Conversational QA and RAG
NIPS 2024
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
NIPS 2024
Grammar-based Decoding for Improved Compositional Generalization in Semantic Parsing
ACL 2023
DeepChange: A Long-Term Person Re-Identification Benchmark with Clothes Change
ICCV 2023
Feature Expansion for Graph Neural Networks
ICML 2023
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers
ICCV 2023
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study
EMNLP 2023
Context Generation Improves Open Domain Question Answering
EACL 2023
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
CORL 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
CORL 2023
Language to Rewards for Robotic Skill Synthesis
CORL 2023
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
ICML 2023
RT-1: Robotics Transformer for Real-World Control at Scale
RSS 2023
Robotic Table Tennis: A Case Study into a High Speed Learning System
RSS 2023
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
ICLR 2022
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
NIPS 2022
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation
CORL 2022
Evaluating Parameter Efficient Learning for Generation
EMNLP 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
CORL 2022
Factuality Enhanced Language Models for Open-Ended Text Generation
NIPS 2022
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner
NAACL 2022
Optimizing Deeper Transformers on Small Datasets
ACL 2021
TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface
ACL 2021
CAiRE in DialDoc21: Data Augmentation for Information Seeking Dialogue System
ACL 2021
X2Parser: Cross-Lingual and Cross-Domain Framework for Task-Oriented Compositional Semantic Parsing
ACL 2021
Visual-Locomotion: Learning to Walk on Complex Terrains with Vision
CORL 2021
X2Parser: Cross-Lingual and Cross-Domain Framework for Task-Oriented Compositional Semantic Parsing
IJCNLP 2021
CAiRE in DialDoc21: Data Augmentation for Information Seeking Dialogue System
IJCNLP 2021
TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface
IJCNLP 2021
Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering
IJCNLP 2021
Optimizing Deeper Transformers on Small Datasets
IJCNLP 2021
Contrastive Document Representation Learning with Graph Attention Networks
EMNLP 2021
Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering
ACL 2021
Meta-Transfer Learning for Code-Switched Speech Recognition
ACL 2020
Learning to Walk in the Real World with Minimal Human Effort
CORL 2020
Attention-Informed Mixed-Language Training for Zero-Shot Cross-Lingual Task-Oriented Dialogue Systems
AAAI 2020
Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling
ACL 2020
Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer
AISTATS 2020
MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models
EMNLP 2020
Cross-lingual Spoken Language Understanding with Regularized Representation Alignment
EMNLP 2020
Improve Transformer Models with Better Relative Position Embeddings
EMNLP 2020
On Variational Learning of Controllable Representations for Text without Supervision
ICML 2020
Learning Fast Adaptation on Cross-Accented Speech Recognition
INTERSPEECH 2020
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning
EMNLP 2019
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables
EMNLP 2019
MoEL: Mixture of Empathetic Listeners
EMNLP 2019
Trust Region Based Adversarial Attack on Neural Networks
CVPR 2019
MoEL: Mixture of Empathetic Listeners
IJCNLP 2019
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables
IJCNLP 2019
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning
IJCNLP 2019
Prediction of Crowd Flow in City Complex with Missing Data
ACML 2019
Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction
NAACL 2019
A Cross-Domain Transferable Neural Coherence Model
ACL 2019
CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification
SEMEVAL 2019
Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data
AAAI 2019
Domain Adaptation with BERT-based Domain Classification and Data Selection
EMNLP 2019
Generalizing Question Answering System with Pre-trained Language Model Fine-tuning
EMNLP 2019
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval
CVPR 2018
Accelerated Stochastic Power Iteration
AISTATS 2018
Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training
EMNLP 2018
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
NIPS 2018
Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss
NAACL 2018
PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags
SEMEVAL 2018
Sub-sampled Newton Methods with Non-uniform Sampling
NIPS 2016
A Systematic Comparison of Phrase Table Pruning Techniques
CONLL 2012
A Systematic Comparison of Phrase Table Pruning Techniques
EMNLP 2012
Binarized Forest to String Translation
ACL 2011
Using a Dependency Parser to Improve SMT for Subject-Object-Verb Languages
NAACL 2009
Distributed Language Models
NAACL 2009
Short-Term Depression in VLSI Stochastic Synapse
NIPS 2008
Large Language Models in Machine Translation
EMNLP 2007
Large Language Models in Machine Translation
CONLL 2007
Minimum Sample Risk Methods for Language Modeling
EMNLP 2005
Random Forests in Language Modelin
EMNLP 2004
Training Connectionist Models for the Structured Language Model
EMNLP 2003
A Study on Richer Syntactic Dependencies for Structured Language Modeling
ACL 2002