Publications (62)
Poivre: Self-Refining Visual Pointing with Reinforcement Learning
Wenjie Yang, Zengfeng Huang
Beyond Homogeneous Attention: Memory-Efficient LLMs via Fourier-Approximated KV Cache
Xiaoran Liu, Siyang He, Qiqi Wang +9
Beyond Real: Imaginary Extension of Rotary Position Embeddings for Long-Context LLMs
Xiaoran Liu, Yuerong Song, Zhigeng Liu +6
DiRL: An Efficient Post-Training Framework for Diffusion Language Models
Ying Zhu, Jiaxin Wan, Xiaoran Liu +7
Why Propagate Alone? Parallel Use of Labels and Features on Graphs
Yangkun Wang, Jiarui Jin, Weinan Zhang +7
Tracking the Frequency Moments at All Times
Zengfeng Huang, Wai Ming Tai, Ke Yi
Graph Neural Networks Inspired by Classical Iterative Algorithms
Yongyi Yang, Tang Liu, Yangkun Wang +6
SimpleTool: Parallel Decoding for Real-Time LLM Function Calling
Xiaoxin Shi, Jiaxin Wan, Linkang Dong +3
On Coresets for Clustering in Small Dimensional Euclidean Spaces
Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang +1
Few Batches or Little Memory, But Not Both: Simultaneous Space and Adaptivity Constraints in Stochastic Bandits
Ruiyuan Huang, Zicheng Lyu, Xiaoyi Zhu +1
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily
Jie Chen, Shouzhen Chen, Junbin Gao +3
LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs
Xiaoran Liu, Yuerong Song, Zhigeng Liu +4
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space
Menglin Yang, Min Zhou, Marcus Kalander +2
One-Bit Matrix Completion with Differential Privacy
Zhengpin Li, Zheng Wei, Zengfeng Huang +2
High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions
Ruiyuan Huang, Zengfeng Huang
Lipschitz Bandits with Batched Feedback
Yasong Feng, Zengfeng Huang, Tianyu Wang
MOVA: Towards Scalable and Synchronized Video-Audio Generation
OpenMOSS Team, Donghua Yu, Mingshu Chen +38
Higher-order Weighted Graph Convolutional Networks
Songtao Liu, Lingwei Chen, Hanze Dong +3
Beyond Block Boundaries: Multi-Block Editing for Diffusion Large Language Models
Xingyu Mou, Zijin Huang, Tianze Zhang +5
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
Haitian Jiang, Renjie Liu, Zengfeng Huang +5
Optimal Clustering with Noisy Queries via Multi-Armed Bandit
Jinghui Xia, Zengfeng Huang
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction
Bisheng Li, Min Zhou, Shengzhong Zhang +3
Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction
Yuerong Song, Xiaoran Liu, Ruixiao Li +5
HAF-RM: A Hybrid Alignment Framework for Reward Model Training
Shujun Liu, Xiaoyu Shen, Yuhang Lai +5
Re$^2$Math: Benchmarking Theorem Retrieval in Research-Level Mathematics
Zicheng Lyu, Wenjie Yang, Shengzhong Zhang +1
Optimization of light fields in ghost imaging using dictionary learning
Chenyu Hu, Zhisheng Tong, Zhentao Liu +3
ASGNN: Graph Neural Networks with Adaptive Structure
Zepeng Zhang, Songtao Lu, Zengfeng Huang +1
Load--Reserve Wasserstein Propagation for Isotropic Diffusion Samplers
Zicheng Lyu, Zengfeng Huang
Dynamic Graph Stream Algorithms in $o(n)$ Space
Zengfeng Huang, Pan Peng
GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search
Yang Yang, Ying Zhang, Wenjie Zhang +1
Your Graph Recommender is Provably a Single-view Graph Contrastive Learning
Wenjie Yang, Shengzhong Zhang, Jiaxing Guo +1
StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning
Shengzhong Zhang, Wenjie Yang, Xinyuan Cao +2
TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics
Lu Yi, Jie Peng, Yanping Zheng +5
Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy
Zhongzheng Xiong, Jialin Sun, Xiaojun Mao +3
Ghost imaging based on Y-net: a dynamic coding and conjugate-decoding approach
Ruiguo Zhu, Hong Yu, Zhijie Tan +4
Simple and Optimal Algorithms for Heavy Hitters and Frequency Moments in Distributed Models
Zengfeng Huang, Zhongzheng Xiong, Xiaoyi Zhu +1
EvolProver: Advancing Automated Theorem Proving by Evolving Formalized Problems via Symmetry and Difficulty
Yuchen Tian, Ruiyuan Huang, Xuanwu Wang +6
Understanding Community Bias Amplification in Graph Representation Learning
Shengzhong Zhang, Wenjie Yang, Yimin Zhang +3
Personalized PageRank to a Target Node, Revisited
Hanzhi Wang, Zhewei Wei, Junhao Gan +2
FourierSampler: Unlocking Non-Autoregressive Potential in Diffusion Language Models via Frequency-Guided Generation
Siyang He, Qiqi Wang, Xiaoran Liu +8
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy
Zhongzheng Xiong, Xiaoyi Zhu, Zengfeng Huang
Understanding Bandits with Graph Feedback
Houshuang Chen, Zengfeng Huang, Shuai Li +1
Efficient and High-Quality Seeded Graph Matching: Employing High Order Structural Information
Haida Zhang, Zengfeng Huang, Xuemin Lin +3
Transformers from an Optimization Perspective
Yongyi Yang, Zengfeng Huang, David Wipf
Space Complexity of Euclidean Clustering
Xiaoyi Zhu, Yuxiang Tian, Lingxiao Huang +1
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training
Kezhao Huang, Haitian Jiang, Minjie Wang +7
Nearly Tight Bounds for Cross-Learning Contextual Bandits with Graphical Feedback
Ruiyuan Huang, Zengfeng Huang
Sublinear Spectral Clustering Oracle with Little Memory
Ranran Shen, Xiaoyi Zhu, Pan Peng +1
Learning Based Proximity Matrix Factorization for Node Embedding
Xingyi Zhang, Kun Xie, Sibo Wang +1
Communication complexity of approximate maximum matching in the message-passing model
Zengfeng Huang, Bozidar Radunovic, Milan Vojnovic +1
SCE: Scalable Network Embedding from Sparsest Cut
Shengzhong Zhang, Zengfeng Huang, Haicang Zhou +1
Effective Stabilized Self-Training on Few-Labeled Graph Data
Ziang Zhou, Jieming Shi, Shengzhong Zhang +2
Simple and Deep Graph Convolutional Networks
Ming Chen, Zhewei Wei, Zengfeng Huang +2
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Mingguo He, Zhewei Wei, Zengfeng Huang +1
Geometric Imbalance in Semi-Supervised Node Classification
Liang Yan, Shengzhong Zhang, Bisheng Li +6
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Liang Yan, Gengchen Wei, Chen Yang +2
Scaling Up Graph Neural Networks Via Graph Coarsening
Zengfeng Huang, Shengzhong Zhang, Chong Xi +2
Optimal Matrix Sketching over Sliding Windows
Hanyan Yin, Dongxie Wen, Jiajun Li +4
Top-k Spatial-keyword Publish/Subscribe Over Sliding Window
Xiang Wang, Ying Zhang, Wenjie Zhang +2
Implicit vs Unfolded Graph Neural Networks
Yongyi Yang, Tang Liu, Yangkun Wang +2
Right Is Not Enough: The Pitfalls of Outcome Supervision in Training LLMs for Math Reasoning
Jiaxing Guo, Wenjie Yang, Shengzhong Zhang +4
Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks
Zengfeng Huang, Ke Yi, Qin Zhang