Data Poisoning Attacks to Session-Based Recommender Systems. - Yueqi Zhang; Ruiping Yin; Zhen Yang 004 (ICCNS, 2022)

An efficient EEGNet processor design for portable EEG-Based BCIs. - Lichen Feng; Liying Yang 001; Shubin Liu; Chenxi Han; Yueqi Zhang; Zhangming Zhu (Microelectron. J., 2022)

An Efficient Multilayer Spiking Convolutional Neural Network Processor for Object Recognition With Low Bitwidth and Channel-Level Parallelism. - Lichen Feng; Yueqi Zhang; Zhangming Zhu (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

An Efficient Model-Compressed EEGNet Accelerator for Generalized Brain-Computer Interfaces With Near Sensor Intelligence. - Lichen Feng; Hongwei Shan; Yueqi Zhang; Zhangming Zhu (IEEE Trans. Biomed. Circuits Syst., 2022)

An Interpretable Pixel Intensity Reconstruction Model for Asynchronous Event Camera. - Hongwei Shan; Lichen Feng; Yueqi Zhang; Zhangming Zhu (AICAS, 2023)

Towards neuromorphic brain-computer interfaces: Model and circuit Co-design of the spiking EEGNet. - Lichen Feng; Hongwei Shan; Zhouhua Fan; Yueqi Zhang; Liying Yang 001; Zhangming Zhu (Microelectron. J., 2023)

Compact seizure detection based on spiking neural network and support vector machine for efficient neuromorphic implementation. - Hongwei Shan; Lichen Feng; Yueqi Zhang; Liying Yang 001; Zhangming Zhu (Biomed. Signal Process. Control., 2023)

Cool Skin Effect as Seen from a New Generation Geostationary Satellite Himawari-8. - Yueqi Zhang; Zhaohui Chen (Remote. Sens., 2023)

Focused Large Language Models are Stable Many-Shot Learners. - Peiwen Yuan; Shaoxiong Feng; Yiwei Li 001; Xinglin Wang; Yueqi Zhang; Chuyi Tan; Boyuan Pan; Heda Wang; Yao Hu; Kan Li 001 (EMNLP, 2024)

Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning. - Xinglin Wang; Shaoxiong Feng; Yiwei Li 001; Peiwen Yuan; Yueqi Zhang; Boyuan Pan; Heda Wang; Yao Hu; Kan Li 001 (CoRR, 2024)

A Robust Quadruped Robot with Twisting Waist for Flexible Motions. - Quancheng Qian; Xiaoyi Wei; Zonghao Zhang; Jiaxin Tu; Yueqi Zhang; Taixian Hou; Xiaofei Gao; Peng Zhai; Lihua Zhang (CoRR, 2024)

An AER-based spiking convolution neural network system for image classification with low latency and high energy efficiency. - Yueqi Zhang; Lichen Feng; Hongwei Shan; Liying Yang 001; Zhangming Zhu (Neurocomputing, 2024)

A 109-GOPs/W FPGA-Based Vision Transformer Accelerator With Weight-Loop Dataflow Featuring Data Reusing and Resource Saving. - Yueqi Zhang; Lichen Feng; Hongwei Shan; Zhangming Zhu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation. - Yiwei Li 001; Ji Zhang; Shaoxiong Feng; Peiwen Yuan; Xinglin Wang; Jiayi Shi; Yueqi Zhang; Chuyi Tan; Boyuan Pan; Yao Hu; Kan Li 001 (ACL (Findings), 2025)

From Sub-Ability Diagnosis to Human-Aligned Generation: Bridging the Gap for Text Length Control via MarkerGen. - Peiwen Yuan; Chuyi Tan; Shaoxiong Feng; Yiwei Li 001; Xinglin Wang; Yueqi Zhang; Jiayi Shi; Boyuan Pan; Yao Hu; Kan Li 001 (ACL (1), 2025)

Beyond One-Size-Fits-All: Tailored Benchmarks for Efficient Evaluation. - Peiwen Yuan; Yueqi Zhang; Shaoxiong Feng; Yiwei Li 001; Xinglin Wang; Jiayi Shi; Chuyi Tan; Boyuan Pan; Yao Hu; Kan Li 001 (ACL (1), 2025)

FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models. - Haokun Chen; Hang Li 010; Yao Zhang; Jinhe Bi; Gengyuan Zhang; Yueqi Zhang; Philip Torr 001; Jindong Gu; Denis Krompass; Volker Tresp (CVPR, 2025)

UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization. - Peiwen Yuan; Shaoxiong Feng; Yiwei Li 001; Xinglin Wang; Yueqi Zhang; Jiayi Shi; Chuyi Tan; Boyuan Pan; Yao Hu; Kan Li 001 (ICLR, 2025)

Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning. - Xinglin Wang; Shaoxiong Feng; Yiwei Li 001; Peiwen Yuan; Yueqi Zhang; Chuyi Tan; Boyuan Pan; Yao Hu; Kan Li 001 (NAACL (Findings), 2025)

Seamless multi-skill learning: learning and transitioning non-similar skills in quadruped robots with limited data. - Jiaxin Tu; Peng Zhai; Yueqi Zhang; Xiaoyi Wei; Zhiyan Dong; Lihua Zhang (Frontiers Robotics AI, 2025)

A multi-source classification framework with invariant representation reconstruction for dual-target RSVP-BCI tasks in cross-subject scenario. - Hongying Chen; Dan Wang 019; Meng Xu 026; Jiaming Chen; Yueqi Zhang; Yuanfang Chen (Neurocomputing, 2025)

LLM-Powered Benchmark Factory: Reliable, Generic, and Efficient. - Peiwen Yuan; Shaoxiong Feng; Yiwei Li 001; Xinglin Wang; Yueqi Zhang; Jiayi Shi; Chuyi Tan; Boyuan Pan; Yao Hu; Kan Li 001 (CoRR, 2025)

InsBank: Evolving Instruction Subset for Ongoing Alignment. - Jiayi Shi; Yiwei Li 001; Shaoxiong Feng; Peiwen Yuan; Xinglin Wang; Yueqi Zhang; Chuyi Tan; Boyuan Pan; Huan Ren; Yao Hu; Kan Li 001 (CoRR, 2025)

Continuous Control of Diverse Skills in Quadruped Robots Without Complete Expert Datasets. - Jiaxin Tu; Xiaoyi Wei; Yueqi Zhang; Taixian Hou; Xiaofei Gao; Zhiyan Dong; Peng Zhai; Lihua Zhang (CoRR, 2025)

Music-Driven Legged Robots: Synchronized Walking to Rhythmic Beats. - Taixian Hou; Yueqi Zhang; Xiaoyi Wei; Zhiyan Dong; Jiafu Yi; Peng Zhai; Lihua Zhang (CoRR, 2025)

Speculative Decoding for Multi-Sample Inference. - Yiwei Li 001; Jiayi Shi; Shaoxiong Feng; Peiwen Yuan; Xinglin Wang; Yueqi Zhang; Ji Zhang; Chuyi Tan; Boyuan Pan; Yao Hu; Kan Li 001 (CoRR, 2025)

Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator. - Peiwen Yuan; Yiwei Li 001; Shaoxiong Feng; Xinglin Wang; Yueqi Zhang; Jiayi Shi; Chuyi Tan; Boyuan Pan; Yao Hu; Kan Li 001 (CoRR, 2025)

Does Machine Unlearning Truly Remove Model Knowledge? A Framework for Auditing Unlearning in LLMs. - Haokun Chen; Yueqi Zhang; Yuan Bi; Yao Zhang; Tong Liu 019; Jinhe Bi; Jian Lan; Jindong Gu; Claudia Grosser; Denis Krompass; Nassir Navab; Volker Tresp (CoRR, 2025)

Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules. - Yueqi Zhang; Peiwen Yuan; Shaoxiong Feng; Yiwei Li 001; Xinglin Wang; Jiayi Shi; Chuyi Tan; Boyuan Pan; Yao Hu; Kan Li 001 (CoRR, 2025)

Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling. - Xinglin Wang; Yiwei Li 001; Shaoxiong Feng; Peiwen Yuan; Yueqi Zhang; Jiayi Shi; Chuyi Tan; Boyuan Pan; Yao Hu; Kan Li 001 (CoRR, 2025)