FreeSpeech: A Novel Wireless Approach for Conference Projecting and Cooperating. - Wenbin Jiang 001; Hai Jin 001; Zhiyuan Shao; Qiwei Ye (UIC, 2006)

A Communication-Efficient Parallel Algorithm for Decision Tree. - Qi Meng; Guolin Ke; Taifeng Wang; Wei Chen 034; Qiwei Ye; Zhiming Ma; Tie-Yan Liu (NIPS, 2016)

LightGBM: A Highly Efficient Gradient Boosting Decision Tree. - Guolin Ke; Qi Meng; Thomas Finley; Taifeng Wang; Wei Chen 034; Weidong Ma; Qiwei Ye; Tie-Yan Liu (NIPS, 2017)

Optimizing Neural Networks in the Equivalent Class Space. - Qi Meng; Wei Chen 034; Shuxin Zheng; Qiwei Ye; Tie-Yan Liu (CoRR, 2018)

G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space. - Qi Meng; Shuxin Zheng; Huishuai Zhang; Wei Chen 034; Qiwei Ye; Zhi-Ming Ma; Nenghai Yu; Tie-Yan Liu (ICLR (Poster), 2019)

Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy. - Ruihan Yang; Qiwei Ye; Tie-Yan Liu (CoRR, 2019)

Beyond Exponentially Discounted Sum: Automatic Learning of Return Function. - Yufei Wang; Qiwei Ye; Tie-Yan Liu (CoRR, 2019)

Suphx: Mastering Mahjong with Deep Reinforcement Learning. - Junjie Li; Sotetsu Koyamada; Qiwei Ye; Guoqing Liu; Chao Wang; Ruihan Yang; Li Zhao 007; Tao Qin 001; Tie-Yan Liu; Hsiao-Wuen Hon (CoRR, 2020)

Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator. - Yuxuan Song; Qiwei Ye; Minkai Xu; Tie-Yan Liu (CoRR, 2020)

Decentralized Circle Formation Control for Fish-like Robots in the Real-world via Reinforcement Learning. - Tianhao Zhang; Yueheng Li; Shuai Li; Qiwei Ye; Chen Wang 005; Guangming Xie (ICRA, 2021)

MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks. - Tianhao Zhang; Qiwei Ye; Jiang Bian 002; Guangming Xie; Tie-Yan Liu (IJCAI, 2021)

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning. - Hanzhe Hu; Fangyun Wei; Han Hu 001; Qiwei Ye; Jinshi Cui; Liwei Wang 001 (NeurIPS, 2021)

DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein. - Daiwen Sun; He Huang; Yao Li; Xinqi Gong; Qiwei Ye (NeurIPS, 2023)

Deeper Exploiting Graph Structure Information by Discrete Ricci Curvature in a Graph Transformer. - Xin Lai; Yang Liu; Rui Qian 002; Yong Lin; Qiwei Ye (Entropy, 2023)

FDIG: A Fine-Grained Data Integration Approach for Group Recommendation. - Qiwei Ye; Fan Yang; Jing Lu; Yu Tang; Linbo Qiao; Yunwei Zhao (ICASSP, 2024)

Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. - Bohang Zhang; Jingchu Gai; Yiheng Du; Qiwei Ye; Di He 001; Liwei Wang 001 (ICLR, 2024)

Do Efficient Transformers Really Save Computation? - Kai Yang; Jan Ackermann; Zhenyu He 012; Guhao Feng; Bohang Zhang; Yunzhen Feng; Qiwei Ye; Di He 001; Liwei Wang 001 (ICML, 2024)

FEW: Multi-modal Recommendation for Cold-Start. - Qiwei Ye; Linbo Qiao; Zhixin Ou; Kaixi Yang; Fan Yang (IJCNN, 2024)

Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon. - Peitian Zhang; Zheng Liu 011; Shitao Xiao; Ninglu Shao; Qiwei Ye; Zhicheng Dou (CoRR, 2024)

SGNet: Folding Symmetrical Protein Complex with Deep Learning. - Zhaoqun Li; Jingcheng Yu; Qiwei Ye (CoRR, 2024)

Extending Llama-3's Context Ten-Fold Overnight. - Peitian Zhang; Ninglu Shao; Zheng Liu 011; Shitao Xiao; Hongjin Qian; Qiwei Ye; Zhicheng Dou (CoRR, 2024)

The Latent Road to Atoms: Backmapping Coarse-grained Protein Structures with Latent Diffusion. - Xu Han; Yuancheng Sun; Kai Chen; Kang Liu; Qiwei Ye (CoRR, 2024)

Pre-training with fractional denoising to enhance molecular property prediction. - Yuyan Ni; Shikun Feng; Xin Hong; Yuancheng Sun; Wei-Ying Ma; Zhi-Ming Ma; Qiwei Ye; Yanyan Lan (Nat. Mac. Intell., 2024)

CryoGEN: Generative Energy-based Models for Cryogenic Electron Tomography Reconstruction. - Yunfei Teng; Yuxuan Ren; Kai Chen; Xi Chen; Zhaoming Chen; Qiwei Ye (ICLR, 2025)

Long Context Compression with Activation Beacon. - Peitian Zhang; Zheng Liu 011; Shitao Xiao; Ninglu Shao; Qiwei Ye; Zhicheng Dou (ICLR, 2025)

$ mathcal{S}$ able: bridging the gap in protein structure understanding with an empowering and versatile pre-training paradigm. - Jiashan Li; Xi Chen; He Huang; Mingliang Zeng; Jingcheng Yu; Xinqi Gong; Qiwei Ye (Briefings Bioinform., 2025)

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models. - Chaozhuo Li; Pengbo Wang; Chenxu Wang; Litian Zhang; Zheng Liu 011; Qiwei Ye; Yuanbo Xu; Feiran Huang; Xi Zhang 008; Philip S. Yu (CoRR, 2025)