activity
20222026
most citedHierarchically Constrained Adaptive Ad Exposure in Feeds

10 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

CineForge: Self-Improving Agents for Long-Horizon Video Generation

Junxiang Liu, Lin Wang, Haiyu Shi +10

Long-horizon story-driven video generation requires a production agent to coordinate narrative decomposition, state tracking, shot design, prompt construction, rendering, and revis…

cs.IR2026

DrEM: Dual-Side Robust Ensemble Ranking from Noisy User Preference Predictions in Video Recommendation

Canwei Huang, Tiantian He, Xiaoxiao Xu +5

Industrial video recommendation systems typically adopt a multi-stage architecture. At the ensemble ranking stage, multi-dimensional user preference predictions (pxtrs) from an ups…

cs.AI2026

FlowTime: Towards Continuous Generative Watch Time Prediction via Flow-based Personalized Priors

Hongxu Ma, Han Zhou, Chenghou Jin +5

Watch time has emerged as a pivotal metric for optimizing deep user engagement in short-video recommender systems. However, current methods of watch time prediction (WTP) suffer fr…

cs.LG2026

DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression

Hongxu Ma, Lin Wang, Chenghou Jin +6

Ordinal Regression (OR) aims to predict target values with inherent order, underpinning critical applications across diverse domains, from recommender systems to computer vision. T…

cs.IR2026

FlashEvaluator: Expanding Search Space with Parallel Sequence-Level Evaluation

Chao Feng, Yuanhao Pu, Chenghao Zhang +5

The Generator-Evaluator (G-E) framework generates K candidate sequences and uses an evaluator to select the highest-scoring one, which is widely used in recommender systems (RecSys…

cs.LG2024

Generative Regression Based Watch Time Prediction for Short-Video Recommendation

Hongxu Ma, Kai Tian, Tao Zhang +6

Watch time prediction (WTP) has emerged as a pivotal task in short video recommendation systems, designed to quantify user engagement through continuous interaction modeling. Predi…

cs.AI2022★ 10 cited

Hierarchically Constrained Adaptive Ad Exposure in Feeds

Dagui Chen, Qi Yan, Chunjie Chen +6

A contemporary feed application usually provides blended results of organic items and sponsored items~(ads) to users. Conventionally, ads are exposed at fixed positions. Such a sta…