Bo Jiang
60 papers · 2008–2026 · 16 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 22 separate collaboration groups - the largest holds only 30% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Bo Jiang?
9 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 Bowen Jiang, Jian Yuan, Chenghu Zhou
4 papers
· 2023–2025
· IJCAI, EMNLP, ICML
Hide ▲
A Middle Path for On-Premises LLM Deployment: Preserving Privacy Without Sacrificing Model Confidentiality
EMNLP 2025
TreeKV: Smooth Key-Value Cache Compression with Tree Structures
IJCAI 2025
Online Restless Bandits with Unobserved States
ICML 2023
Prediction with Incomplete Data under Agnostic Mask Distribution Shift
IJCAI 2023
13 papers whose co-authors appear nowhere else under this name
Bifrost: Alibaba's Next-Generation VPC Network with High-Performance Multipath Reliable Transport
NSDI 2026
Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement
CVPR 2026
Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models
ACL 2025
LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data
AAAI 2025
TODO: Enhancing LLM Alignment with Ternary Preferences
ICLR 2025
That doesn’t sound right: Evaluating speech transcription quality in field linguistics corpora
ACL 2025
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework
NeurIPS 2024
Volterra Neural Networks (VNNs)
JMLR 2024
A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance
NeurIPS 2023
Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection
CVPR 2022
DSINE: Deep Structural Influence Learning via Network Embedding
AAAI 2019
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks
ICLR 2019
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
JMLR 2008