Qiwei Ye

42 papers A* 9B 1C 1Misc 1Journal 26Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Autoregressive Visual Decoding from EEG Signals.
CoRR
Sicheng Dai, Hongwang Xiao, Shan Yu, Qiwei Ye
2026 J jnl
ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers.
CoRR
Songyang Liu, Chaozhuo Li, Chenxu Wang, Jinyu Hou, Zejian Chen, Litian Zhang, Zheng Liu, Qiwei Ye, Yiming Hei, Xi Zhang, Zhongyuan Wang
2026 A* conf
EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization.
AAAI
Yuancheng Sun, Yuxuan Ren, Zhaoming Chen, Xu Han, Kang Liu, Qiwei Ye
2026 J jnl
FloydNet: A Learning Paradigm for Global Relational Reasoning.
CoRR
Jingcheng Yu, Mingliang Zeng, Qiwei Ye
2026 J jnl
Tetrahedral molecular pretraining for enhanced property prediction.
Pattern Recognit.
Yuancheng Sun, Kai Chen, Kang Liu, Qiwei Ye
2026 J jnl
The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies.
CoRR
Chenxu Wang, Chaozhuo Li, Songyang Liu, Zejian Chen, Jinyu Hou, Ji Qi, Rui Li, Litian Zhang, Qiwei Ye, Zheng Liu, Xu Chen, Xi Zhang, Philip S. Yu
2026 J jnl
TransMedVision: Improving Medical Image Analysis Under Data Scarcity With Transferable Visual Representations.
Concurr. Comput. Pract. Exp.
Hongwang Xiao, Qiwei Ye, Yu Shu, Bo Li, Yao Li, Wenhao Huang
2025 J jnl
$\mathcal{S}$ able: bridging the gap in protein structure understanding with an empowering and versatile pre-training paradigm.
Briefings Bioinform.
Jiashan Li, Xi Chen, He Huang, Mingliang Zeng, Jingcheng Yu, Xinqi Gong, Qiwei Ye
2025 A* conf
CryoGEN: Generative Energy-based Models for Cryogenic Electron Tomography Reconstruction.
ICLR
Yunfei Teng, Yuxuan Ren, Kai Chen, Xi Chen, Zhaoming Chen, Qiwei Ye
2025 J jnl
EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization.
CoRR
Yuancheng Sun, Yuxuan Ren, Zhaoming Chen, Xu Han, Kang Liu, Qiwei Ye
2025 — conf
Harnessing Heterogeneous Social Networks for Better Group Recommendations: An Integrated Approach Towards Cold-Start Problem.
KSEM (5)
Yunwei Zhao, Songtao Peng, Linbo Qiao, Qiwei Ye, Han Han, Shanqing Yu
2025 J jnl
Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models.
CoRR
Chaozhuo Li, Pengbo Wang, Chenxu Wang, Litian Zhang, Zheng Liu, Qiwei Ye, Yuanbo Xu, Feiran Huang, Xi Zhang, Philip S. Yu
2025 A* conf
Long Context Compression with Activation Beacon.
ICLR
Peitian Zhang, Zheng Liu, Shitao Xiao, Ninglu Shao, Qiwei Ye, Zhicheng Dou
2024 A* conf
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.
ICLR
Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang
2024 J jnl
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.
CoRR
Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang
2024 A* conf
Do Efficient Transformers Really Save Computation?
ICML
Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang
2024 J jnl
Do Efficient Transformers Really Save Computation?
CoRR
Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang
2024 J jnl
Extending Llama-3's Context Ten-Fold Overnight.
CoRR
Peitian Zhang, Ninglu Shao, Zheng Liu, Shitao Xiao, Hongjin Qian, Qiwei Ye, Zhicheng Dou
2024 Misc conf
FDIG: A Fine-Grained Data Integration Approach for Group Recommendation.
ICASSP
Qiwei Ye, Fan Yang, Jing Lu, Yu Tang, Linbo Qiao, Yunwei Zhao
2024 B conf
FEW: Multi-modal Recommendation for Cold-Start.
IJCNN
Qiwei Ye, Linbo Qiao, Zhixin Ou, Kaixi Yang, Fan Yang
2024 J jnl
Pre-training with Fractional Denoising to Enhance Molecular Property Prediction.
CoRR
Yuyan Ni, Shikun Feng, Xin Hong, Yuancheng Sun, Wei-Ying Ma, Zhi-Ming Ma, Qiwei Ye, Yanyan Lan
2024 J jnl
Pre-training with fractional denoising to enhance molecular property prediction.
Nat. Mac. Intell.
Yuyan Ni, Shikun Feng, Xin Hong, Yuancheng Sun, Wei-Ying Ma, Zhi-Ming Ma, Qiwei Ye, Yanyan Lan
2024 J jnl
SGNet: Folding Symmetrical Protein Complex with Deep Learning.
CoRR
Zhaoqun Li, Jingcheng Yu, Qiwei Ye
2024 J jnl
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon.
CoRR
Peitian Zhang, Zheng Liu, Shitao Xiao, Ninglu Shao, Qiwei Ye, Zhicheng Dou
2024 J jnl
The Latent Road to Atoms: Backmapping Coarse-grained Protein Structures with Latent Diffusion.
CoRR
Xu Han, Yuancheng Sun, Kai Chen, Kang Liu, Qiwei Ye
2023 A* conf
DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein.
NeurIPS
Daiwen Sun, He Huang, Yao Li, Xinqi Gong, Qiwei Ye
2023 J jnl
Deeper Exploiting Graph Structure Information by Discrete Ricci Curvature in a Graph Transformer.
Entropy
Xin Lai, Yang Liu, Rui Qian, Yong Lin, Qiwei Ye
2021 A* conf
Decentralized Circle Formation Control for Fish-like Robots in the Real-world via Reinforcement Learning.
ICRA
Tianhao Zhang, Yueheng Li, Shuai Li, Qiwei Ye, Chen Wang, Guangming Xie
2021 J jnl
Decentralized Circle Formation Control for Fish-like Robots in the Real-world via Reinforcement Learning.
CoRR
Tianhao Zhang, Yueheng Li, Shuai Li, Qiwei Ye, Chen Wang, Guangming Xie
2021 A* conf
MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks.
IJCAI
Tianhao Zhang, Qiwei Ye, Jiang Bian, Guangming Xie, Tie-Yan Liu
2021 A* conf
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning.
NeurIPS
Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, Liwei Wang
2021 J jnl
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning.
CoRR
Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, Liwei Wang
2020 J jnl
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator.
CoRR
Yuxuan Song, Qiwei Ye, Minkai Xu, Tie-Yan Liu
2020 J jnl
Suphx: Mastering Mahjong with Deep Reinforcement Learning.
CoRR
Junjie Li, Sotetsu Koyamada, Qiwei Ye, Guoqing Liu, Chao Wang, Ruihan Yang, Li Zhao, Tao Qin, Tie-Yan Liu, Hsiao-Wuen Hon
2019 J jnl
Beyond Exponentially Discounted Sum: Automatic Learning of Return Function.
CoRR
Yufei Wang, Qiwei Ye, Tie-Yan Liu
2019 — conf
G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space.
ICLR (Poster)
Qi Meng, Shuxin Zheng, Huishuai Zhang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu
2019 J jnl
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy.
CoRR
Ruihan Yang, Qiwei Ye, Tie-Yan Liu
2018 J jnl
Optimizing Neural Networks in the Equivalent Class Space.
CoRR
Qi Meng, Wei Chen, Shuxin Zheng, Qiwei Ye, Tie-Yan Liu
2017 — conf
LightGBM: A Highly Efficient Gradient Boosting Decision Tree.
NIPS
Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu
2016 — conf
A Communication-Efficient Parallel Algorithm for Decision Tree.
NIPS
Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu
2016 J jnl
A Communication-Efficient Parallel Algorithm for Decision Tree.
CoRR
Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu
2006 C conf
FreeSpeech: A Novel Wireless Approach for Conference Projecting and Cooperating.
UIC
Wenbin Jiang, Hai Jin, Zhiyuan Shao, Qiwei Ye