Peng CHENG
28 papers · 2007–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (18) π Interdisciplinary Bridge π Conference Polyglot (14) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Cross-Pollinator
(4)
πΊοΈ
Taxonomy Completionist
(52)
π
Interdisciplinary Bridge
π§¬
Topic Evolution
π
Grand Slam
π
Keyword Champion
(2)
π₯
Mega-Team
(23)
ποΈ
Keyword Collector
(130)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(25)
π₯
Unstoppable
(5)
β‘
Prolific Year
(5)
Conferences
NSDI (5)
ACL (4)
AAAI (3)
ICLR (3)
NIPS (3)
RSS (2)
AACL (1)
CORL (1)
CVPR (1)
EMNLP (1)
ICML (1)
IJCAI (1)
MICCAI (1)
UAI (1)
Top co-authors
Keywords
adversarial learning
(3)
resource management
(2)
dynamics model
(2)
continual pre-training
(2)
robotic manipulation
(2)
domain reweighting
(2)
data augmentation
(2)
chinese language
(2)
large language model
(2)
manipulation planning
(2)
reinforcement learning
(1)
robust planning
(1)
network architecture
(1)
domain adaptation
(1)
neural network pruning
(1)
causal inference
(1)
offline reinforcement learning
(1)
model-based learning
(1)
neural network training
(1)
motion planning
(1)
Papers
Beyond Content: A Comprehensive Speech Toxicity Dataset and Detection Framework Incorporating Paralinguistic Cues
AAAI 2026
RoboFailRing: Retrieval-Augmented and Language Grounding Failure Detection for VLM-enabled Robotic Manipulation
ACL 2026
Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training
ACL 2026
Optimizing Large Language Model Training Using FP4 Quantization
ICML 2025
Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens
AAAI 2025
Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
AAAI 2025
Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training
ACL 2025
Can't Slow Me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices
CVPR 2025
Integrative Decoding: Improving Factuality via Implicit Self-consistency
ICLR 2025
Automated Proof Generation for Rust Code via Self-Evolution
ICLR 2025
Data Center Cooling System Optimization Using Offline Reinforcement Learning
ICLR 2025
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization
IJCAI 2025
NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism
ACL 2024
POSEIDON: A Consolidated Virtual Network Controller that Manages Millions of Tenants via Config Tree
NSDI 2024
Differentially Private No-regret Exploration in Adversarial Markov Decision Processes
UAI 2024
Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model
NIPS 2024
A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis
MICCAI 2024
ARK: GPU-driven Code Execution for Distributed Deep Learning
NSDI 2023
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
NIPS 2023
Discriminator-Guided Model-Based Offline Imitation Learning
CORL 2022
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
NIPS 2022
Chinese Grammatical Error Correction Based on Hybrid Models with Data Augmentation
AACL 2020
Direct Universal Access: Making Data Center Resources Available to FPGA
NSDI 2019
Multi-Path Transport for RDMA in Datacenters
NSDI 2018
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data
EMNLP 2016
Catch the Whole Lot in an Action: Rapid Precise Packet Loss Notification in Data Center
NSDI 2014
Abstractions and Algorithms for Cooperative Multiple Robot Planar Manipulation
RSS 2008
Planning and Control of Meso-scale Manipulation Tasks with Uncertainties
RSS 2007