Jian Cao
27 papers · 2013–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π Academic Marathon (12)
π§
Keyword Pioneer
π
Academic Marathon
(12)
π
Triple Crown
π
Grand Slam
π
Century Club
(23)
π
Conference Pioneer
π₯
Unstoppable
(5)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(116)
Conferences
AAAI (8)
IJCAI (7)
CVPR (2)
EMNLP (2)
ICML (2)
JMLR (2)
ACL (1)
ICCV (1)
ICLR (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(4)
knowledge distillation
(3)
logical form
(3)
model personalization
(3)
knowledge base question answering
(3)
federated learning
(3)
representation learning
(2)
heterogeneous model
(2)
variational inference
(2)
contrastive learning
(2)
personalized federated learning
(2)
semantic parsing
(2)
knowledge transfer
(2)
noisy label learning
(2)
client-server architecture
(2)
uncertainty quantification
(1)
gaussian processes
(1)
stochastic gradient descent
(1)
feature extraction
(1)
domain adaptation
(1)
Papers
Two Heads Are Better than One: Distilling Large Language Model Features into Small Models with Feature Decomposition and Mixture
AAAI 2026
DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation
AAAI 2026
AP2O-Coder: Adaptively Progressive Preference Optimization for Reducing Compilation and Runtime Errors in LLM-Generated Code
AAAI 2026
Generating then Refining for Reliable Knowledge Base Question Answering
ACL 2026
KaeDe: Progressive Generation of Logical Forms via Knowledge-Aware Question Decomposition for Improved KBQA
EMNLP 2025
EoT: Evolution of Thoughts for Complex Reasoning Tasks
EMNLP 2025
PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs
ICML 2025
DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models
AAAI 2025
ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model
AAAI 2025
Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms
AAAI 2025
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy
IJCAI 2025
COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement
IJCAI 2025
PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark
JMLR 2025
R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation
IJCAI 2024
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
CVPR 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
AAAI 2024
Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization
ICML 2023
A New ANN-SNN Conversion Method with High Accuracy, Low Latency and Good Robustness
IJCAI 2023
RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning
AAAI 2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
ICCV 2023
Masked Distillation with Receptive Tokens
ICLR 2023
Eliminating Domain Bias for Federated Learning in Representation Space
NIPS 2023
Towards Stable Human Pose Estimation via Cross-View Fusion and Foot Stabilization
CVPR 2023
RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization
IJCAI 2022
Scalable Gaussian-process regression and variable selection using Vecchia approximations
JMLR 2022
Diversifying Personalized Recommendation with User-session Context
IJCAI 2017
Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis
IJCAI 2013