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Publications

* denotes co-first author; † denotes corresponding author. Listed in reverse-chronological order.

2026

[1] Reinforcing Chain-of-Thought Reasoning with Self-Evolving Rubrics arXiv 2026
Leheng Sheng*, Wenchang Ma*, Ruixin Hong, Xiang Wang, An Zhang, Tat-Seng Chua
[2] Fine-grained Semantics Integration for Large Language Model-based Recommendation arXiv 2026
Jiawei Feng, Xiaoyu Kong, Leheng Sheng, Bin Wu, Chao Yi, Feifang Yang, Xiang-Rong Sheng, Han Zhu, Xiang Wang, Jiancan Wu, Xiangnan He
[3] When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning ICML 2026
Leheng Sheng, Yongtao Zhang, Wenchang Ma, Yaorui Shi, Ting Huang, Xiang Wang, An Zhang, Ke Shen, Tat-Seng Chua
[4] AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint ICLR 2026
Leheng Sheng*, Changshuo Shen*, Weixiang Zhao, Junfeng Fang, Xiaohao Liu, Zhenkai Liang, Xiang Wang, An Zhang, Tat-Seng Chua
[5] AlphaAlign: Incentivizing Safety Alignment with Extremely Simplified Reinforcement Learning ICLR 2026
Yi Zhang, An Zhang, XiuYu Zhang, Leheng Sheng, Yuxin Chen, Zhenkai Liang, Xiang Wang

2025

[6] On Reasoning Strength Planning in Large Reasoning Models NeurIPS 2025
Leheng Sheng, An Zhang, Zijian Wu, Weixiang Zhao, Changshuo Shen, Yi Zhang, Xiang Wang, Tat-Seng Chua
[7] AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems NeurIPS 2025 (Spotlight)
Yu Shang, Peijie Liu, Yuwei Yan, Zijing Wu, Leheng Sheng, Yuanqing Yu, Chumeng Jiang, An Zhang, Fengli Xu, Yu Wang, Min Zhang, Yong Li
[8] Towards Large Generative Recommendation: A Tokenization Perspective CIKM 2025
Yupeng Hou, An Zhang, Leheng Sheng, Jiancan Wu, Xiang Wang, Tat-Seng Chua, Julian McAuley
[9] MinioneRec: An Open-Source Framework for Scaling Generative Recommendation arXiv 2025
Xiaoyu Kong, Leheng Sheng, Junfei Tan, Yuxin Chen, Jiancan Wu, An Zhang, Xiang Wang, Xiangnan He
[10] MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering arXiv 2025
Chenlu Ding, Jiancan Wu, Leheng Sheng, Fan Zhang, Yancheng Yuan, Xiang Wang, Xiangnan He
[11] Generative Recommendation Models: Progress and Directions WWW 2025 (Companion)
Yupeng Hou, An Zhang, Leheng Sheng, Zhengyi Yang, Xiang Wang, Tat-Seng Chua, Julian McAuley
[12] Personalized Recommendation Agents with Self-Consistency WWW 2025 (Companion)
Zijing Wu, Leheng Sheng, Yuanlin Xia, Yi Zhang, Yuxin Chen, An Zhang

2024

[13] Language Representations Can Be What Recommenders Need: Findings and Potentials ICLR 2025 (Oral)
Leheng Sheng, An Zhang†, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua
[14] On Softmax Direct Preference Optimization for Recommendation NeurIPS 2024
Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua
[15] Customizing Language Models with Instance-wise LoRA for Sequential Recommendation NeurIPS 2024
Xiaoyu Kong, Jiancan Wu, An Zhang, Leheng Sheng, Hui Lin, Xiang Wang, Xiangnan He
[16] On Generative Agents in Recommendation SIGIR 2024
An Zhang*, Yuxin Chen*, Leheng Sheng*, Xiang Wang†, Tat-Seng Chua
[17] General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout WWW 2024
An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang

2023

[18] Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss NeurIPS 2023
An Zhang*, Leheng Sheng*, Zhibo Cai†, Xiang Wang, Tat-Seng Chua
[19] BrainNetFormer: Decoding Brain Cognitive States with Spatial-Temporal Cross Attention ICASSP 2023
Leheng Sheng, Wehan Wang, Zhiyi Shi, Jichao Zhan, Youyong Kong†

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