Hongyi Wang
26 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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Conferences
NIPS (10)
ICLR (4)
ICML (3)
AAAI (2)
EMNLP (2)
ACL (1)
ICCV (1)
IJCAI (1)
NAACL (1)
NSDI (1)
Top co-authors
Research topics
Keywords
distributed training
(5)
model compression
(4)
federated learning
(4)
large language model
(4)
vision-language model
(3)
gradient aggregation
(2)
byzantine fault tolerance
(2)
neural network optimization
(2)
model parallelism
(2)
byzantine resilience
(2)
semantic segmentation
(1)
transfer learning
(1)
object detection
(1)
model robustness
(1)
neural network training
(1)
lottery ticket hypothesis
(1)
adversarial robustness
(1)
vision transformer
(1)
stochastic gradient
(1)
chain-of-thought reasoning
(1)
Papers
Taming the Phantom: Token-Asymmetric Filtering for Hallucination Mitigation in Large Vision-Language Models
AAAI 2026
AgentThink: A Unified Framework for Tool-Augmented Chain-of-Thought Reasoning in Vision-Language Models for Autonomous Driving
EMNLP 2025
M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images
AAAI 2025
Token Level Routing Inference System for Edge Devices
ACL 2025
Region-aware Anchoring Mechanism for Efficient Referring Visual Grounding
ICCV 2025
Dissecting and Streamlining the Interactive Loop of Mobile Cloud Gaming
NSDI 2025
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
ICML 2024
Fusing Models with Complementary Expertise
ICLR 2024
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
NIPS 2024
SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning
NIPS 2024
$\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild
NIPS 2024
RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs
NAACL 2024
Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
FedNAR: Federated Optimization with Normalized Annealing Regularization
NIPS 2023
SLViT: Scale-Wise Language-Guided Vision Transformer for Referring Image Segmentation
IJCAI 2023
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach
ICLR 2023
MPCFORMER: FAST, PERFORMANT AND PRIVATE TRANSFORMER INFERENCE WITH MPC
ICLR 2023
AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness
NIPS 2022
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation
EMNLP 2022
Rare Gems: Finding Lottery Tickets at Initialization
NIPS 2022
Federated Learning with Matched Averaging
ICLR 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
NIPS 2020
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
NIPS 2019
ATOMO: Communication-efficient Learning via Atomic Sparsification
NIPS 2018
The Effect of Network Width on the Performance of Large-batch Training
NIPS 2018
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
ICML 2018