PPaperPicks

Liang Chen

Sun Yat-Sen University, School of Data and Computer Science, Guangzhou, China

19 papers at tracked venues · 14 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Jintang Li
×9
Zibin Zheng
×7
Yuchang Zhu
×5
Bingzhe Wu
×4
Yatao Bian
×4
Kam-Fai Wong
×4
Huizhe Zhang
×3
Peilin Zhao
×3
Yang Deng
×3
Ruofan Wu
×3
Qichao Wang
×2
Li Shen
×2

Papers

  1. GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization
    AAAI 2026 ·
    Huizhe Zhang
    ,
    Jintang Li
    ,
    Yuchang Zhu
    ,
    Huazhen Zhong
    , Liang Chen
  2. Spiking Heterogeneous Graph Attention Networks
    AAAI 2026 ·
    Buqing Cao
    ,
    Qian Peng
    ,
    Xiang Xie
    , Liang Chen,
    Min Shi
    ,
    Jianxun Liu
  3. A Multi-view Heterogeneous Hypergraph Augmented Self-gating Contrastive Fusion Framework for Service Recommendation
    ICSOC 2025 ·
    Fenfang Xie
    ,
    Runjun Zhang
    ,
    Caijie Lin
    , Liang Chen,
    Mingdong Tang
  4. Measuring Diversity in Synthetic Datasets
    ICML 2025 ·
    Yuchang Zhu
    ,
    Huizhe Zhang
    ,
    Bingzhe Wu
    ,
    Jintang Li
    ,
    Zibin Zheng
    ,
    Peilin Zhao
    , Liang Chen,
    Yatao Bian
  5. NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction
    ICML 2025 ·
    Qichao Wang
    ,
    Ziqiao Meng
    ,
    Wenqian Cui
    ,
    Yifei Zhang
    ,
    Pengcheng Wu
    ,
    Bingzhe Wu
    ,
    Irwin King
    , Liang Chen,
    Peilin Zhao
  6. PEARL: Towards Permutation-Resilient LLMs
    ICLR 2025 · Liang Chen,
    Li Shen
    ,
    Yang Deng
    ,
    Xiaoyan Zhao
    ,
    Bin Liang
    ,
    Kam-Fai Wong
  7. Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning
    ICML 2025 · Liang Chen,
    Xueting Han
    ,
    Li Shen
    ,
    Jing Bai
    ,
    Kam-Fai Wong
  8. A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
    ICLR 2024 ·
    Jintang Li
    ,
    Huizhe Zhang
    ,
    Ruofan Wu
    ,
    Zulun Zhu
    ,
    Baokun Wang
    ,
    Changhua Meng
    ,
    Zibin Zheng
    , Liang Chen
  9. Consecutive Batch Model Editing with HooK Layers
    EMNLP 2024 ·
    Shuaiyi Li
    ,
    Yang Deng
    ,
    Deng Cai
    ,
    Hongyuan Lu
    , Liang Chen,
    Wai Lam
  10. Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm
    ACL 2024 ·
    Yuanzhen Xie
    ,
    Xinzhou Jin
    ,
    Tao Xie
    ,
    Mingxiong Lin
    , Liang Chen,
    Chenyun Yu
    ,
    Cheng Lei
    ,
    Chengxiang Zhuo
    ,
    Bo Hu
    ,
    Zang Li
  11. Fair Graph Representation Learning via Sensitive Attribute Disentanglement
    WWW 2024 ·
    Yuchang Zhu
    ,
    Jintang Li
    ,
    Zibin Zheng
    , Liang Chen
  12. One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes
    SIGKDD 2024 ·
    Yuchang Zhu
    ,
    Jintang Li
    ,
    Yatao Bian
    ,
    Zibin Zheng
    , Liang Chen
  13. Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
    ICML 2024 ·
    Ziqi Gao
    ,
    Qichao Wang
    ,
    Aochuan Chen
    ,
    Zijing Liu
    ,
    Bingzhe Wu
    , Liang Chen,
    Jia Li
  14. Rethinking and Simplifying Bootstrapped Graph Latents
    WSDM 2024 ·
    Wangbin Sun
    ,
    Jintang Li
    , Liang Chen,
    Bingzhe Wu
    ,
    Yatao Bian
    ,
    Zibin Zheng
  15. Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
    SIGKDD 2024 ·
    Yunfei Liu
    ,
    Jintang Li
    ,
    Yuehe Chen
    ,
    Ruofan Wu
    ,
    Ericbk Wang
    ,
    Jing Zhou
    ,
    Sheng Tian
    ,
    Shuheng Shen
    ,
    Xing Fu
    ,
    Changhua Meng
    ,
    Weiqiang Wang
    , Liang Chen
  16. SELF-GUARD: Empower the LLM to Safeguard Itself
    NAACL 2024 ·
    Zezhong Wang
    ,
    Fangkai Yang
    ,
    Lu Wang
    ,
    Pu Zhao
    ,
    Hongru Wang
    , Liang Chen,
    Qingwei Lin
    ,
    Kam-Fai Wong
  17. State Space Models on Temporal Graphs: A First-Principles Study
    NeurIPS 2024 ·
    Jintang Li
    ,
    Ruofan Wu
    ,
    Xinzhou Jin
    ,
    Boqun Ma
    , Liang Chen,
    Zibin Zheng
  18. The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation
    WSDM 2024 ·
    Yuchang Zhu
    ,
    Jintang Li
    , Liang Chen,
    Zibin Zheng
  19. WatME: Towards Lossless Watermarking Through Lexical Redundancy
    ACL 2024 · Liang Chen,
    Yatao Bian
    ,
    Yang Deng
    ,
    Deng Cai
    ,
    Shuaiyi Li
    ,
    Peilin Zhao
    ,
    Kam-Fai Wong