41 citations · 65 across the 7 of their papers we have counts for
7 papers
QuIVer: Rethinking ANN Graph Topology via Training-Free Binary Quantization
Wenxuan Xiao, Zhiyou Wang, Chengcheng Li
Approximate nearest neighbor (ANN) graph indices such as HNSW and Vamana construct their edge topology in full-precision or high-fidelity quantized metric spaces, relegating binary…
Convolutional Neural Network Pruning with Structural Redundancy Reduction
Zi Wang, Chengcheng Li, Xiangyang Wang
Convolutional neural network (CNN) pruning has become one of the most successful network compression approaches in recent years. Existing works on network pruning usually focus on…
Investigating Channel Pruning through Structural Redundancy Reduction -- A Statistical Study
Chengcheng Li, Zi Wang, Dali Wang +2
Most existing channel pruning methods formulate the pruning task from a perspective of inefficiency reduction which iteratively rank and remove the least important filters, or find…
Speeding up convolutional networks pruning with coarse ranking
Zi Wang, Chengcheng Li, Dali Wang +2
Channel-based pruning has achieved significant successes in accelerating deep convolutional neural network, whose pipeline is an iterative three-step procedure: ranking, pruning an…
Single-shot Channel Pruning Based on Alternating Direction Method of Multipliers
Chengcheng Li, Zi Wang, Xiangyang Wang +1
Channel pruning has been identified as an effective approach to constructing efficient network structures. Its typical pipeline requires iterative pruning and fine-tuning. In this…
Fast-converging Conditional Generative Adversarial Networks for Image Synthesis
Chengcheng Li, Zi Wang, Hairong Qi
Building on top of the success of generative adversarial networks (GANs), conditional GANs attempt to better direct the data generation process by conditioning with certain additio…
Deep Reinforcement Learning of Cell Movement in the Early Stage of C. elegans Embryogenesis
Zi Wang, Dali Wang, Chengcheng Li +3
Cell movement in the early phase of C. elegans development is regulated by a highly complex process in which a set of rules and connections are formulated at distinct scales. Previ…