Wei Wu
177 papers · 2010–2026 · 17 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 31 separate collaboration groups - the largest holds only 45% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Wei Wu?
12 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 Rui Yan, Jingang Wang, Dongyan Zhao
79 papers
· 2016–2026
· EMNLP, ACL, IJCAI
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From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level Alignment
ACL 2026
MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning
AAAI 2026
A Survey on Personalized Alignment—The Missing Piece for Large Language Models in Real-World Applications
ACL 2025
Beyond Online Sampling: Bridging Offline-to-Online Alignment via Dynamic Data Transformation for LLMs
EMNLP 2025
CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning
ICLR 2025
Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
ICML 2025
PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models
ACL 2025
Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation
ICML 2025
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
NeurIPS 2024
From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis
EMNLP 2024
Minimal Distillation Schedule for Extreme Language Model Compression
EACL 2024
Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules
EMNLP 2024
“In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning
EMNLP 2024
Fusion or Defusion? Flexible Vision-and-Language Pre-Training
ACL 2023
Intent-aware Recommendation via Disentangled Graph Contrastive Learning
IJCAI 2023
Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation
ACL 2023
Local and Global: Temporal Question Answering via Information Fusion
IJCAI 2023
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models
ACL 2023
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank
ACL 2023
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation
ACL 2023
An Effective and Efficient Entity Alignment Decoding Algorithm via Third-Order Tensor Isomorphism
ACL 2022
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations
COLING 2022
CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation
ACL 2022
DABERT: Dual Attention Enhanced BERT for Semantic Matching
COLING 2022
Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning
ACL 2022
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization
NAACL 2022
Ensemble Multi-Relational Graph Neural Networks
IJCAI 2022
GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval
EMNLP 2022
Generalized Intent Discovery: Learning from Open World Dialogue System
COLING 2022
Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion
EMNLP 2022
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis
ACL 2022
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification
ACL 2022
Learning to Express in Knowledge-Grounded Conversation
NAACL 2022
Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks
COLING 2022
Making Pretrained Language Models Good Long-tailed Learners
EMNLP 2022
Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models
NeurIPS 2022
PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models
EMNLP 2022
Pay More Attention to History: A Context Modeling Strategy for Conversational Text-to-SQL
Interspeech 2022
PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack
COLING 2022
Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold
NAACL 2022
Robust Lottery Tickets for Pre-trained Language Models
ACL 2022
Searching for Optimal Subword Tokenization in Cross-domain NER
IJCAI 2022
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems
EMNLP 2022
Structural Bias for Aspect Sentiment Triplet Extraction
COLING 2022
TANet: Thread-Aware Pretraining for Abstractive Conversational Summarization
NAACL 2022
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning
EMNLP 2022
VIRT: Improving Representation-based Text Matching via Virtual Interaction
EMNLP 2022
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery
EMNLP 2022
XPrompt: Exploring the Extreme of Prompt Tuning
EMNLP 2022
A Survey on Response Selection for Retrieval-based Dialogues
IJCAI 2021
ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction
NAACL 2021
Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder
ACL 2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
ACL 2021
Empowering Conversational AI is a Trip to Mars: Progress and Future of Open Domain Human-Computer Dialogues
AAAI 2021
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval
ACL 2021
Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models
EMNLP 2021
Open Domain Dialogue Generation with Latent Images
AAAI 2021
Slot Transferability for Cross-domain Slot Filling
ACL 2021
Task-Oriented Clustering for Dialogues
EMNLP 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
EMNLP 2021
Knowledge-Grounded Dialogue Generation with Pre-trained Language Models
EMNLP 2020
Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks
EMNLP 2020
Low-Resource Knowledge-Grounded Dialogue Generation
ICLR 2020
StyleDGPT: Stylized Response Generation with Pre-trained Language Models
EMNLP 2020
Zero-Resource Knowledge-Grounded Dialogue Generation
NeurIPS 2020
A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots
IJCAI 2019
Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems
ACL 2019
Low-Resource Response Generation with Template Prior
EMNLP 2019
Neural Response Generation with Meta-words
ACL 2019
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues
ACL 2019
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation
EMNLP 2019
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems
EMNLP 2019
Deep Chit-Chat: Deep Learning for ChatBots
EMNLP 2018
Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism
IJCAI 2018
Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots
ACL 2018
[RETRACTED] Playing 20 Question Game with Policy-Based Reinforcement Learning
EMNLP 2018
Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering
SemEval 2017
Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots
ACL 2017
Detecting Context Dependent Messages in a Conversational Environment
COLING 2016
19 papers whose co-authors appear nowhere else under this name
Beyond Static Alignment: Adaptive Arbitration for Semantic Incongruence in Semi-Supervised Multimodal Sentiment Analysis
ACL 2026
OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models
ICCV 2025
Transitive self-consistency evaluation of NLI models without gold labels
EMNLP 2025
FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models
ECCV 2024
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence
EMNLP 2023
LidarGait: Benchmarking 3D Gait Recognition With Point Clouds
CVPR 2023
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
EMNLP 2023
MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos
CVPR 2023
Scalable Video Object Segmentation with Simplified Framework
ICCV 2023
Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization
OSDI 2022
Incorporating Convolution Designs Into Visual Transformers
ICCV 2021
Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning
IJCAI 2020
Feedback Network for Image Super-Resolution
CVPR 2019
Selective Sensor Fusion for Neural Visual-Inertial Odometry
CVPR 2019
Efficient Attributed Network Embedding via Recursive Randomized Hashing
IJCAI 2018
PointCNN: Convolution On X-Transformed Points
NeurIPS 2018
Automatic Name-Face Alignment to Enable Cross-Media News Retrieval
IJCAI 2013
Robust Trajectory Clustering for Motion Segmentation
ICCV 2013
Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment
NeurIPS 2011