DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. - Junkang Wu; Wentao Shi 002; Xuezhi Cao; Jiawei Chen 007; Wenqiang Lei; Fuzheng Zhang; Wei Wu 014; Xiangnan He 001 (CIKM, 2021)

Discriminative-Invariant Representation Learning for Unbiased Recommendation. - Hang Pan 006; Jiawei Chen 007; Fuli Feng; Wentao Shi 002; Junkang Wu; Xiangnan He 001 (IJCAI, 2023)

Understanding Contrastive Learning via Distributionally Robust Optimization. - Junkang Wu; Jiawei Chen 007; Jiancan Wu; Wentao Shi 002; Xiang Wang 010; Xiangnan He 001 (NeurIPS, 2023)

Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. - Jiawei Chen 007; Junkang Wu; Jiancan Wu; Xuezhi Cao; Sheng Zhou 004; Xiangnan He 001 (WWW, 2023)

On the Theories Behind Hard Negative Sampling for Recommendation. - Wentao Shi 002; Jiawei Chen 007; Fuli Feng; Jizhi Zhang; Junkang Wu; Chongming Gao; Xiangnan He 001 (WWW, 2023)

FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion. - Wentao Shi 002; Junkang Wu; Xuezhi Cao; Jiawei Chen 007; Wenqiang Lei; Wei Wu 014; Xiangnan He 001 (CoRR, 2023)

Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation. - Jiawei Chen 007; Junkang Wu; Jiancan Wu; Sheng Zhou 004; Xuezhi Cao; Xiangnan He 001 (CoRR, 2023)

Direct Multi-Turn Preference Optimization for Language Agents. - Wentao Shi 002; Mengqi Yuan; Junkang Wu; Qifan Wang 001; Fuli Feng (EMNLP, 2024)

Masked Graph Modeling with Multi- View Contrast. - Yanchen Luo; Sihang Li 002; Yongduo Sui; Junkang Wu; Jiancan Wu; Xiang Wang 010 (ICDE, 2024)

BSL: Understanding and Improving Softmax Loss for Recommendation. - Junkang Wu; Jiawei Chen 007; Jiancan Wu; Wentao Shi 002; Jizhi Zhang; Xiang Wang 010 (ICDE, 2024)

β-DPO: Direct Preference Optimization with Dynamic β. - Junkang Wu; Yuexiang Xie; Zhengyi Yang 007; Jiancan Wu; Jinyang Gao; Bolin Ding; Xiang Wang 010; Xiangnan He 001 (NeurIPS, 2024)

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. - Wentao Shi 002; Chenxu Wang; Fuli Feng; Yang Zhang 072; Wenjie Wang 007; Junkang Wu; Xiangnan He 001 (WWW, 2024)

α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs. - Junkang Wu; Xue Wang 010; Zhengyi Yang 007; Jiancan Wu; Jinyang Gao; Bolin Ding; Xiang Wang 010; Xiangnan He 001 (CoRR, 2024)

Large Language Models Empower Personalized Valuation in Auction. - Jie Sun 030; Tianyu Zhang; Houcheng Jiang; Kexin Huang; Chi Luo; Junkang Wu; Jiancan Wu; An Zhang 003; Xiang Wang 010 (CoRR, 2024)

Robust Preference Optimization via Dynamic Target Margins. - Jie Sun 030; Junkang Wu; Jiancan Wu; Zhibo Zhu; Xingyu Lu; Jun Zhou 011; Lintao Ma; Xiang Wang 010 (ACL (Findings), 2025)

Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. - Junkang Wu; Yuexiang Xie; Zhengyi Yang 007; Jiancan Wu; Jiawei Chen 007; Jinyang Gao; Bolin Ding; Xiang Wang 010; Xiangnan He 001 (ICLR, 2025)

DAMA: Data- and Model-aware Alignment of Multi-modal LLMs. - Jinda Lu; Junkang Wu; Jinghan Li; Xiaojun Jia; Shuo Wang 008; Yifan Zhang 004; Junfeng Fang; Xiang Wang 010; Xiangnan He 001 (CoRR, 2025)

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment. - Yifan Zhang 004; Tao Yu; Haochen Tian; Chaoyou Fu; Peiyan Li; Jianshu Zeng; Wulin Xie; Yang Shi 009; Huanyu Zhang; Junkang Wu; Xue Wang 010; Yibo Hu; et al. (CoRR, 2025)

Larger or Smaller Reward Margins to Select Preferences for Alignment? - Kexin Huang; Junkang Wu; Ziqian Chen; Xue Wang 010; Jinyang Gao; Bolin Ding; Jiancan Wu; Xiangnan He 001; Xiang Wang 010 (CoRR, 2025)

RePO: ReLU-based Preference Optimization. - Junkang Wu; Kexin Huang; Xue Wang 010; Jinyang Gao; Bolin Ding; Jiancan Wu; Xiangnan He 001; Xiang Wang 010 (CoRR, 2025)

Aligning Multimodal LLM with Human Preference: A Survey. - Tao Yu; Yifan Zhang 004; Chaoyou Fu; Junkang Wu; Jinda Lu; Kun Wang 056; Xingyu Lu; Yunhang Shen; Guibin Zhang; Dingjie Song; Yibo Yan; Tianlong Xu; et al. (CoRR, 2025)

AdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization. - Jinda Lu; Jinghan Li; Yuan Gao; Junkang Wu; Jiancan Wu; Xiang Wang 010; Xiangnan He 001 (CoRR, 2025)

On Negative-aware Preference Optimization for Recommendation. - Chenlu Ding; Daoxuan Liu; Jiancan Wu; Xingyu Hu; Junkang Wu; Haitao Wang; Yongkang Wang; Xingxing Wang; Xiang Wang 010 (CoRR, 2025)