JW
Jiancan Wu
cs.IRcs.AIcs.LGcs.CLcs.CVcs.CEcs.MMcs.SIphysics.chem-phq-bio.BM
On Valency
published · living versionsW_ttrugmys·v1 · currentpublished
Try Before You Evolve: Ranking-Scored Trials for Recursive Self-Improvement of Recommender Systems
with Xu Huang, Jiawei Feng
1 version
W_bq8xe7sh·v1published
Preprints & journals
47 papers in the corpus · 2020–2026Know When to Stop, Where to Restart: Accelerating Multi-Turn Agentic On-Policy Distillation2609.14636v1 · Zhiyu Gui, Kexin Huang, Jia Guo et al.2026 · 0 citationsarXiv
PEA-DPO: Perception-Enhanced Alignment Direct Preference Optimization for MLLMs Alignment2608.19598v1 · Jiawei Feng, Jiancan Wu, Xingyu Zhu et al.2026 · 0 citationsProceedings of the 34th ACM International Conference on Multimedia (MM '26), November 10--14, 2026, Rio de Janeiro, Brazil
ARMOR: Stabilizing On-Policy LLM RL with Off-Policy Anchor Samples2607.10481v2 · Kexin Huang, Junkang Wu, Jinda Lu et al.2026 · 0 citationsarXiv
Scaling Retrieval-Augmented Reasoning with Parallel Search and Explicit Merging2605.13534v1 · Jiabei Liu, Wenyu Mao, Junfei Tan et al.2026 · 0 citationsarXiv
DynamicPO: Dynamic Preference Optimization for Recommendation2605.00327v4 · Xingyu Hu, Kai Zhang, Jiancan Wu et al.2026 · 0 citationsarXiv
SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs2604.07737v1 · Jie Sun, Yu Liu, Lu Han et al.2026 · 0 citationsarXiv
Beyond Where to Look: Trajectory-Guided Reinforcement Learning for Multimodal RLVR2603.26126v1 · Jinda Lu, Junkang Wu, Jinghan Li et al.2026 · 0 citationsarXiv
Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs2603.25077v1 · Jinda Lu, Junkang Wu, Jinghan Li et al.2026 · 0 citationsarXiv
On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation2603.22117v1 · Kexin Huang, Haoming Meng, Junkang Wu et al.2026 · 0 citationsarXiv
Fine-grained Semantics Integration for Large Language Model-based Recommendation2602.22632v3 · Jiawei Feng, Xiaoyu Kong, Leheng Sheng et al.2026 · 0 citationsarXiv
Think before Recommendation: Autonomous Reasoning-enhanced Recommender2510.23077v1 · Xiaoyu Kong, Junguang Jiang, Bin Liu et al.2025 · 3 citationsarXiv
On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders2510.17245v3 · Wenyu Mao, Jiancan Wu, Guoqing Hu et al.2025 · 1 citationarXiv
Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation2509.26063v1 · Guoqing Hu, An Zhang. Shuchang Liu, Wenyu Mao et al.2025 · 0 citationsNeurIPS 2025
Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning2507.03047v2 · Yutian Liu, Zhengyi Yang, Jiancan Wu et al.2025 · 0 citationsarXiv
Robust Preference Optimization via Dynamic Target Margins2506.03690v2 · Jie Sun, Junkang Wu, Jiancan Wu et al.2025 · 1 citationarXiv
Addressing Missing Data Issue for Diffusion-based Recommendation2505.12283v1 · Wenyu Mao, Zhengyi Yang, Jiancan Wu et al.2025 · 2 citationsarXiv
AdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization2504.15619v1 · Jinda Lu, Jinghan Li, Yuan Gao et al.2025 · 0 citationsarXiv
RePO: Understanding Preference Learning Through ReLU-Based Optimization2503.07426v2 · Junkang Wu, Kexin Huang, Xue Wang et al.2025 · 0 citationsarXiv
Position-aware Graph Transformer for Recommendation2412.18731v1 · Jiajia Chen, Jiancan Wu, Jiawei Chen et al.2024 · 3 citationsarXiv
LaMP-Val: Large Language Models Empower Personalized Valuation in Auction2410.15817v2 · Jie Sun, Tianyu Zhang, Houcheng Jiang et al.2024 · 0 citationsarXiv
RosePO: Aligning LLM-based Recommenders with Human Values2410.12519v1 · Jiayi Liao, Xiangnan He, Ruobing Xie et al.2024 · 0 citationsarXiv
AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization2410.10148v4 · Junkang Wu, Xue Wang, Zhengyi Yang et al.2024 · 0 citationsarXiv
Text-guided Diffusion Model for 3D Molecule Generation2410.03803v1 · Yanchen Luo, Junfeng Fang, Sihang Li et al.2024 · 0 citationsarXiv
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation2408.10159v4 · Xiaoyu Kong, Jiancan Wu, An Zhang et al.2024 · 13 citations38th Conference on Neural Information Processing Systems (NeurIPS 2024)
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization2408.01697v2 · Wenyu Mao, Jiancan Wu, Haoyang Liu et al.2024 · 5 citationsarXiv
Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number2407.20119v2 · Chen-Lu Ding, Jiancan Wu, Wei Lin et al.2024 · 0 citationsarXiv
Reinforced Prompt Personalization for Recommendation with Large Language Models2407.17115v2 · Wenyu Mao, Jiancan Wu, Weijian Chen et al.2024 · 16 citationsarXiv
-DPO: Direct Preference Optimization with Dynamic 2407.08639v2 · Junkang Wu, Yuexiang Xie, Zhengyi Yang et al.2024 · 12 citationsarXiv
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization2407.07880v2 · Junkang Wu, Yuexiang Xie, Zhengyi Yang et al.2024 · 0 citationsarXiv
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning2405.15114v1 · Yuyue Zhao, Jiancan Wu, Xiang Wang et al.2024 · 43 citationsarXiv
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients2403.17745v2 · Zihao Zhao, Yi Jing, Fuli Feng et al.2024 · 21 citationsarXiv
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation2402.02855v1 · Shuyao Wang, Yongduo Sui, Jiancan Wu et al.2024 · 18 citationsarXiv
BSL: Understanding and Improving Softmax Loss for Recommendation2312.12882v1 · Junkang Wu, Jiawei Chen, Jiancan Wu et al.2023 · 11 citationsICDE2024
LLaRA: Large Language-Recommendation Assistant2312.02445v4 · Jiayi Liao, Sihang Li, Zhengyi Yang et al.2023 · 132 citationsarXiv
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion2310.20453v1 · Zhengyi Yang, Jiancan Wu, Zhicai Wang et al.2023 · 53 citationsNeurIPS 2023
Large Language Model Can Interpret Latent Space of Sequential Recommender2310.20487v1 · Zhengyi Yang, Jiancan Wu, Yanchen Luo et al.2023 · 9 citationsarXiv
Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation2310.16566v1 · Chengpeng Li, Zhengyi Yang, Jizhi Zhang et al.2023 · 1 citationarXiv
Understanding Contrastive Learning via Distributionally Robust Optimization2310.11048v1 · Junkang Wu, Jiawei Chen, Jiancan Wu et al.2023 · 22 citationsarXiv
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning2310.05506v3 · Chengpeng Li, Zheng Yuan, Hongyi Yuan et al.2023 · 7 citationsarXiv
Recommendation Unlearning via Influence Function2307.02147v4 · Yang Zhang, Zhiyu Hu, Yimeng Bai et al.2023 · 31 citationsarXiv
How Graph Convolutions Amplify Popularity Bias for Recommendation?2305.14886v1 · Jiajia Chen, Jiancan Wu, Jiawei Chen et al.2023 · 29 citationsarXiv
GIF: A General Graph Unlearning Strategy via Influence Function2304.02835v1 · Jiancan Wu, Yi Yang, Yuchun Qian et al.2023 · 58 citationsarXiv
Adap-: Adaptively Modulating Embedding Magnitude for Recommendation2302.04775v3 · Jiawei Chen, Junkang Wu, Jiancan Wu et al.2023 · 31 citationsWWW2023
Cross Pairwise Ranking for Unbiased Item Recommendation2204.12176v1 · Qi Wan, Xiangnan He, Xiang Wang et al.2022 · 38 citationsarXiv
On the Effectiveness of Sampled Softmax Loss for Item Recommendation2201.02327v2 · Jiancan Wu, Xiang Wang, Xingyu Gao et al.2022 · 79 citationsarXiv
Causal Attention for Interpretable and Generalizable Graph Classification2112.15089v2 · Yongduo Sui, Xiang Wang, Jiancan Wu et al.2021 · 195 citationsarXiv
Graph Convolution Machine for Context-aware Recommender System2001.11402v3 · Jiancan Wu, Xiangnan He, Xiang Wang et al.2020 · 84 citationsarXiv
Career total: 64 works. 47 are in this corpus.
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