Chao Wang
119 papers · 2003–2026 · 18 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 54 separate collaboration groups - the largest holds only 13% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Chao Wang?
23 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 Hui Xiong, Chuan Qin, Hengshu Zhu
13 papers
· 2019–2026
· AAAI, IJCAI, ACL
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Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models
AAAI 2026
GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery
ACL 2026
TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting
ACL 2026
TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection
EMNLP 2025
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives
IJCAI 2024
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation
IJCAI 2024
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
NeurIPS 2024
Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting
IJCAI 2024
Temporal Graph Contrastive Learning for Sequential Recommendation
AAAI 2024
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness
IJCAI 2021
Topic Modeling Revisited: A Document Graph-based Neural Network Perspective
NeurIPS 2021
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback
AAAI 2020
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective
AAAI 2019
31 papers whose co-authors appear nowhere else under this name
ClipGStream: Clip-Stream Gaussian Splatting for Any Length and Any Motion Multi-View Dynamic Scene Reconstruction
CVPR 2026
MSAnchor: De Novo Molecular Generation from Mass Spectrometry Data with Anchor-Extended Molecular Scaffolds
AAAI 2026
Small but Mighty: Dynamic Wavelet Expert-Guided Fine-Tuning of Large-Scale Models for Optical Remote Sensing Object Segmentation
AAAI 2026
StarFlow: Generating Structured Workflow Outputs From Sketch Images
EACL 2026
CD-PolypNet: Cross-Domain Polyp Segmentation Network with Internal Feature Distillation and Dual-Stream Boundary Focus via Large Vision Model
MICCAI 2025
DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models
CVPR 2025
Information Theoretic Text-to-Image Alignment
ICLR 2025
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs
AAAI 2025
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models
AAAI 2025
Transparent Vision: A Theory of Hierarchical Invariant Representations
ICCV 2025
Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution
AAAI 2025
VideoMiner: Iteratively Grounding Key Frames of Hour-Long Videos via Tree-based Group Relative Policy Optimization
ICCV 2025
A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method
MICCAI 2024
Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement
AAAI 2024
Multi-modal Adversarial Training for Zero-Shot Voice Cloning
Interspeech 2024
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
NeurIPS 2024
Prompt Learning with Extended Kalman Filter for Pre-trained Language Models
IJCAI 2024
Image Cropping With Spatial-Aware Feature and Rank Consistency
CVPR 2023
SEPH: Scalable, Efficient, and Predictable Hashing on Persistent Memory
OSDI 2023
Convolutions for Spatial Interaction Modeling
CVPR 2022
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training
AAAI 2022
Exploring Compositional Image Retrieval with Hybrid Compositional Learning and Heuristic Negative Mining
EMNLP 2022
Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data
ICML 2022
Towards high-fidelity singing voice conversion with acoustic reference and contrastive predictive coding
Interspeech 2022
Active Learning for Lane Detection: A Knowledge Distillation Approach
ICCV 2021
Our Learned Lessons from Cross-Lingual Speaker Verification: The CRMI-DKU System Description for the Short-Duration Speaker Verification Challenge 2021
Interspeech 2021
Discriminative Partial Domain Adversarial Network
ECCV 2020
Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning
CVPR 2019
Coded Illumination and Imaging for Fluorescence Based Classification
ECCV 2018
Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation
ECCV 2018
Chinese Syntactic Reordering for Statistical Machine Translation
EMNLP 2007