Jian Cheng

A Universal Self-Attention Enhancement for Bridging Low-bit Quantization and Vision Transformers WACV 2026 Deep (Predictive) Discounted Counterfactual Regret Minimization AAAI 2026 An Open-Ended Learning Framework for Opponent Modeling AAAI 2025 Maximum Entropy Reinforcement Learning with Diffusion Policy ICML 2025 Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning ICML 2025 HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation AAAI 2025 Universal Features Guided Zero-Shot Category-Level Object Pose Estimation AAAI 2025 Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement ICML 2025 Training LLMs for Optimization Modeling via Iterative Data Synthesis and Structured Validation EMNLP 2025 LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning EMNLP 2025 RQT: Hierarchical Residual Quantization for Multi-Model Compression ACL 2025 Exploring Contextual Attribute Density in Referring Expression Counting CVPR 2025 Q-Mamba: Towards more efficient Mamba models via post-training quantization ACL 2025 EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models ACL 2025 Dynamic Discounted Counterfactual Regret Minimization ICLR 2024 Real-world Visual Navigation for Cardiac Ultrasound View Planning MICCAI 2024 Realigning Confidence with Temporal Saliency Information for Point-Level Weakly-Supervised Temporal Action Localization CVPR 2024 Mixed Integer Linear Programming for Discrete Sampling Scheme Design in Diffusion MRI MICCAI 2024 Opponent Modeling with In-context Search NIPS 2024 Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing AAAI 2024 Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System AAAI 2024 Patch-Aware Sample Selection for Efficient Masked Image Modeling AAAI 2024 Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning AAAI 2024 Context-Aware Speech Recognition Using Prompts for Language Learners INTERSPEECH 2024 Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance NIPS 2024 Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024 Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration ICML 2024 HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming ICML 2024 Towards Offline Opponent Modeling with In-context Learning ICLR 2024 $\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks ICLR 2023 MDL-NAS: A Joint Multi-Domain Learning Framework for Vision Transformer CVPR 2023 TinyNeRF: Towards 100 x Compression of Voxel Radiance Fields AAAI 2023 Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once CVPR 2023 Asynchronous Event Processing with Local-Shift Graph Convolutional Network AAAI 2023 Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning NIPS 2023 Towards Efficient and Accurate Winograd Convolution via Full Quantization NIPS 2023 On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning ICLR 2023 Multi-Granularity Pruning for Model Acceleration on Mobile Devices ECCV 2022 PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient NIPS 2022 GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks NIPS 2022 Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning NIPS 2022 Efficient Virtual View Selection for 3D Hand Pose Estimation AAAI 2022 Towards Fully Sparse Training: Information Restoration with Spatial Similarity AAAI 2022 DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy AAAI 2022 Nighttime Semantic Segmentation with Unsupervised Learning and Cross Attention ACML 2022 MixFormer: Mixing Features Across Windows and Dimensions CVPR 2022 APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers CVPR 2022 Differentially Private Federated Learning With Local Regularization and Sparsification CVPR 2022 PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators ECCV 2022 MENet: A Memory-Based Network with Dual-Branch for Efficient Event Stream Processing ECCV 2022 EBERT: Efficient BERT Inference with Dynamic Structured Pruning IJCNLP 2021 You Only Look One-Level Feature CVPR 2021 AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition ICCV 2021 Dynamic Dual Gating Neural Networks ICCV 2021 Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization ICCV 2021 EBERT: Efficient BERT Inference with Dynamic Structured Pruning ACL 2021 Revisiting Parameter Sharing for Automatic Neural Channel Number Search NIPS 2020 Skeleton-Based Action Recognition With Shift Graph Convolutional Network CVPR 2020 ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices ECCV 2020 Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification AAAI 2020 Sparsity-Inducing Binarized Neural Networks AAAI 2020 Towards Accurate Post-training Network Quantization via Bit-Split and Stitching ICML 2020 Soft Threshold Ternary Networks IJCAI 2020 Faster Person Re-Identification ECCV 2020 Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition ECCV 2020 M-NAS: Meta Neural Architecture Search AAAI 2020 Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning CVPR 2020 Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning AAAI 2019 Skeleton-Based Action Recognition With Directed Graph Neural Networks CVPR 2019 K-Nearest Neighbors Hashing CVPR 2019 ODE-Inspired Network Design for Single Image Super-Resolution CVPR 2019 RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment ICCV 2019 Overcoming the bottleneck in traditional assessments of verbal memory: Modeling human ratings and classifying clinical group membership NAACL 2019 Reading selectively via Binary Input Gated Recurrent Unit IJCAI 2019 Color-Sensitive Person Re-Identification IJCAI 2019 Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition CVPR 2019 Semi-Supervised Generative Adversarial Hashing for Image Retrieval ECCV 2018 Training Binary Weight Networks via Semi-Binary Decomposition ECCV 2018 Two-Step Quantization for Low-Bit Neural Networks CVPR 2018 Real-Time Scoring of an Oral Reading Assessment on Mobile Devices INTERSPEECH 2018 Modeling Self-Reported and Observed Affect from Speech INTERSPEECH 2018 Learning Compression from Limited Unlabeled Data ECCV 2018 Egocentric Gesture Recognition Using Recurrent 3D Convolutional Neural Networks With Spatiotemporal Transformer Modules ICCV 2017 Fixed-Point Factorized Networks CVPR 2017 Quantized Convolutional Neural Networks for Mobile Devices CVPR 2016 Hashing for Distributed Data ICML 2015 Online Sketching Hashing CVPR 2015 Bayesian Co-Boosting for Multi-modal Gesture Recognition JMLR 2014 Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction CVPR 2014 Adaptive Object Retrieval with Kernel Reconstructive Hashing CVPR 2014