Guihai Chen
25 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird
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Interdisciplinary Bridge
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(7)
🏆
Keyword Champion
👥
Mega-Team
(29)
🔬
Deep Specialist
(10)
🗃️
Keyword Collector
(140)
💎
Century Club
(22)
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Unstoppable
(8)
⚡
Prolific Year
(7)
Conferences
AAAI (7)
IJCAI (5)
NSDI (4)
NIPS (3)
ICCV (2)
OSDI (2)
ACL (1)
EMNLP (1)
Top co-authors
Keywords
knowledge distillation
(3)
model compression
(3)
mechanism design
(3)
multi-task learning
(3)
federated learning
(2)
recommender system
(2)
collaborative filtering
(2)
congestion control
(2)
semi-supervised learning
(1)
feature extraction
(1)
contrastive learning
(1)
online advertising
(1)
sparse representation
(1)
transfer learning
(1)
domain generalization
(1)
post-training quantization
(1)
convergence analysis
(1)
orthogonal projection
(1)
privacy preservation
(1)
knowledge transfer
(1)
Papers
Channel-masked Asymmetric Distribution Matching for Cross-Domain Generalized Dataset Distillation
AAAI 2026
ProCAST: A Projection Framework for Coupled Aggregation Constrained Multivariate Time Series Forecasting
AAAI 2026
AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization
AAAI 2026
Improving SAM for Camouflaged Object Detection via Dual Stream Adapters
ICCV 2025
When P4 Meets Run-to-completion Architecture
NSDI 2025
Learning Production-Optimized Congestion Control Selection for Alibaba Cloud CDN
NSDI 2025
CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation
AAAI 2025
Pre3: Enabling Deterministic Pushdown Automata for Faster Structured LLM Generation
ACL 2025
Pyrrha: Congestion-Root-Based Flow Control to Eliminate Head-of-Line Blocking in Datacenter
NSDI 2025
Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model
ICCV 2025
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract)
IJCAI 2024
BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks
EMNLP 2024
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
NIPS 2024
Norma: Towards Practical Network Load Testing
NSDI 2023
Truthful Auctions for Automated Bidding in Online Advertising
IJCAI 2023
Flor: An Open High Performance RDMA Framework Over Heterogeneous RNICs
OSDI 2023
Federated Submodel Optimization for Hot and Cold Data Features
NIPS 2022
Cross-Task Knowledge Distillation in Multi-Task Recommendation
AAAI 2022
Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach
IJCAI 2022
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning
OSDI 2022
Toward Understanding the Influence of Individual Clients in Federated Learning
AAAI 2021
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems
AAAI 2020
Feature Evolution Based Multi-Task Learning for Collaborative Filtering with Social Trust
IJCAI 2019
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling
NIPS 2019
Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations
IJCAI 2018