← Authors

Jian Cheng

90 papers · 2014–2026 · 17 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (17) πŸƒ Academic Marathon (12) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🏠 Conference Loyalist (20) 🌟 Keyword Trendsetter Combo (4) πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (22) πŸ”¬ Deep Specialist (16) πŸ† Keyword Champion (2) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (9) πŸ—ƒοΈ Keyword Collector (311) πŸ”₯ Unstoppable (13) πŸ’Ž Century Club (89)

Conferences

CVPR (20) AAAI (17) ECCV (9) NIPS (8) ICML (7) ICCV (5) ICLR (4) IJCAI (4) ACL (4) INTERSPEECH (3) EMNLP (2) MICCAI (2) ACML (1) IJCNLP (1) JMLR (1) NAACL (1) WACV (1)

Top co-authors

Peisong Wang (22) Yifan Zhang (16) Hanqing Lu (12) Xiangyu He (12) Kai Li (11) Qiang Fu (11) Junliang Xing (11) Haobo Fu (11) Qinghao Hu (11) Yifan Zang (7)

Research topics

Differential Privacy (1) Privacy (1)

Keywords

model compression (16) efficient computing (8) model quantization (5) neural network (5) neural architecture search (5) parameter sharing (4) action recognition (4) object detection (4) vision transformer (4) neural network optimization (4) approximate nearest neighbor (3) attention mechanism (3) nearest neighbor search (3) neural network quantization (3) graph convolutional network (3) image classification (3) efficient inference (3) policy learning (3) post-training quantization (3) person re-identification (3)

Papers

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