Cheng Li

SMIDT: High-Performance Inference Framework for MoE Models with Dynamic Top-K Routing AAAI 2026 World Knowledge-Enhanced Reasoning Using Instruction-Guided Interactor in Autonomous Driving AAAI 2025 BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference AAAI 2025 De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem AAAI 2025 A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging MICCAI 2025 AutoCCL: Automated Collective Communication Tuning for Accelerating Distributed and Parallel DNN Training NSDI 2025 HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference ACL 2025 InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews ACL 2024 Bridging the Preference Gap between Retrievers and LLMs ACL 2024 A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization NIPS 2024 CulturePark: Boosting Cross-cultural Understanding in Large Language Models NIPS 2024 CultureLLM: Incorporating Cultural Differences into Large Language Models NIPS 2024 Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach AAAI 2024 DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing AAAI 2024 Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation AAAI 2024 Physical-Based Event Camera Simulator ECCV 2024 Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement EMNLP 2024 VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models EMNLP 2024 Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach EMNLP 2024 AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories EMNLP 2024 The Good, The Bad, and Why: Unveiling Emotions in Generative AI ICML 2024 Autonomous Sparse Mean-CVaR Portfolio Optimization ICML 2024 NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli IJCAI 2024 Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining MICCAI 2024 nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training OSDI 2024 Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases ICML 2023 Unsupervised Paraphrasing under Syntax Knowledge AAAI 2023 Style Projected Clustering for Domain Generalized Semantic Segmentation CVPR 2023 Toward RAW Object Detection: A New Benchmark and a New Model CVPR 2023 DySR: Adaptive Super-Resolution via Algorithm and System Co-design ICLR 2023 Deep Spatial Adaptive Network for Real Image Demosaicing AAAI 2022 Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior JMLR 2022 When does Further Pre-training MLM Help? An Empirical Study on Task-Oriented Dialog Pre-training EMNLP 2021 VIL-100: A New Dataset and a Baseline Model for Video Instance Lane Detection ICCV 2021 Robustness Testing of Language Understanding in Task-Oriented Dialog IJCNLP 2021 Improving Query Graph Generation for Complex Question Answering over Knowledge Base EMNLP 2021 Hyperspectral Image Denoising With Realistic Data ICCV 2021 Robustness Testing of Language Understanding in Task-Oriented Dialog ACL 2021 Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion CVPR 2021 Accelerated Bayesian Optimisation through Weight-Prior Tuning AISTATS 2020 Laplacian pyramid-based complex neural network learning for fast MR imaging MIDL 2020 TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation CVPR 2019 Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild ICCV 2019 Deep Comprehensive Correlation Mining for Image Clustering ICCV 2019 Adapting RNN Sequence Prediction Model to Multi-label Set Prediction NAACL 2019 Pose-Robust Face Recognition via Deep Residual Equivariant Mapping CVPR 2018 ReenactGAN: Learning to Reenact Faces via Boundary Transfer ECCV 2018 Scalable Bayes via Barycenter in Wasserstein Space JMLR 2018 The Devil of Face Recognition is in the Noise ECCV 2018 Regret for Expected Improvement over the Best-Observed Value and Stopping Condition ACML 2017 High Dimensional Bayesian Optimization with Elastic Gaussian Process ICML 2017 High Dimensional Bayesian Optimization using Dropout IJCAI 2017 Residual Attention Network for Image Classification CVPR 2017 From which world is your graph NIPS 2017 Conditional Bernoulli Mixtures for Multi-label Classification ICML 2016 A Bayesian Nonparametric Approach for Multi-label Classification ACML 2016 Unconstrained Face Alignment via Cascaded Compositional Learning CVPR 2016 Face Alignment by Coarse-to-Fine Shape Searching CVPR 2015 Pixel-Level Hand Detection in Ego-centric Videos CVPR 2013 Model Recommendation with Virtual Probes for Egocentric Hand Detection ICCV 2013 General Oracle Inequalities for Gibbs Posterior with Application to Ranking COLT 2013 Making Geo-Replicated Systems Fast as Possible, Consistent when Necessary OSDI 2012